Pedro Hernández-Cortés | Orthopedic | Best Research Article Award

Posted on 02/06/202502/06/2025 by TOT Awards

Prof. Pedro Hernández-Cortés | Orthopedic | Best Research Article Award

Professor at Granada University, Spain

Professor Pedro Hernández Cortés is a Full Professor in the Department of Surgery and its Specialties at the University of Granada and a leading authority in orthopedic and hand surgery. A graduate in Medicine and Surgery in 1989, he earned his Ph.D. from the University of Granada in 1996. With a robust clinical and academic background, he is Head of the Upper Extremity, Hand, and Microsurgery Section at San Cecilio University Hospital. He holds both the National (2002) and European (2021) Diplomas in Hand Surgery. Professor Hernández has made significant contributions to medical education and research, authoring 88 scientific publications and supervising numerous theses. His influence extends across Spain and Europe, with invited lectures, collaborative research, and leadership in postgraduate medical education. His deep commitment to surgical innovation and academic excellence continues to shape the future of trauma and orthopedic care. 🏥📘🦴

professional profile

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ORCID

Education

Pedro Hernández Cortés began his medical career at the University of Granada, earning his degree in Medicine and Surgery in 1989. He later completed his Ph.D. in Medicine and Surgery in 1996 at the same institution, solidifying his academic foundation. Pursuing clinical specialization, he trained through Spain’s MIR system to become a Specialist in Orthopedic Surgery and Traumatology. He earned the National Diploma in Hand Surgery in 2002, followed by the prestigious European Diploma in Hand Surgery in 2021. His training also includes international clinical stays in France and Spain at elite institutions such as Saint Charles Hospital, La Peyronie, and the Hand and Brachial Plexus Surgery Unit at La Paz University Hospital in Madrid. This education pathway underscores his lifelong dedication to surgical mastery, academic leadership, and continuous advancement in orthopedic science and hand surgery. 📜🦾📚

Work Experience

With a dynamic professional journey, Professor Hernández is a Full Professor at the University of Granada, where he teaches in both undergraduate medical and physiotherapy programs and postgraduate master’s programs. He also serves as Head of the Upper Extremity, Hand, and Microsurgery Section at San Cecilio University Hospital. His teaching extends beyond academia to national and international surgical training programs. He has served as a tutor for residents, professor in several master’s programs, and faculty in courses organized by professional societies including the Spanish Society of Hand Surgery. He also held administrative leadership as Secretary of the Department of Surgery at the University of Granada from 2016 to 2021. His blended expertise in clinical surgery, teaching, and departmental leadership makes him a central figure in both the academic and healthcare communities. 🧑‍🏫🔬✋

Research Focus

Professor Hernández’s research is deeply rooted in orthopedic surgery, hand surgery, and microsurgery, with a growing focus on clinical innovation and surgical outcomes. His work bridges biomechanics, surgical techniques, and rehabilitation of upper extremity disorders, particularly shoulder and hand pathology. Over his career, he has produced 88 scientific publications, 60 of which are indexed in high-impact JCR journals, advancing the literature in trauma, joint reconstruction, and nerve repair. He has directed 7 doctoral theses and 42 final degree or master’s theses, reflecting his mentorship in translational and clinical research. He collaborates on interdisciplinary studies within national research consortia and maintains active partnerships with renowned European and Spanish institutes. His research has a practical, patient-centered orientation, aimed at improving surgical precision and functional recovery. 🔎🧠🦴

🏅 Awards and Honors

Professor Pedro Hernández Cortés has received 22 research awards recognizing his clinical, academic, and scientific excellence. His remarkable research profile includes 3 six-year research periods (2005–2010, 2011–2016, 2017–2022) and contributions to 7 competitive national research projects, including leadership as principal investigator in a Carlos III Institute project in 2020. He has authored 3 complete books, contributed 40 book chapters, and delivered 160 scientific presentations. He has also been invited to speak at 107 national and international conferences and courses, reflecting his reputation as a thought leader in orthopedic and hand surgery. His prestigious certifications—National Diploma (2002) and European Diploma (2021) in Hand Surgery—further demonstrate his expertise. These honors underscore his longstanding commitment to innovation, education, and excellence in orthopedic medicine. 🏅📖🔝

Conclusion

Professor Pedro Hernández Cortés is highly suitable for nomination for the Research for Best Research Article Award, provided a standout article from his portfolio is nominated. His research track record, extensive publication history, leadership in education and clinical practice, and multiple recognitions make him an exceptional candidate. By selecting and showcasing a single impactful article that aligns with the award’s theme—especially if tied to translational outcomes or innovation in hand surgery—his nomination would be both compelling and competitive.

Publications to Noted

1. Impact of surgery on rehabilitation care and quality of life perceived by patient with post-stroke upper limb spasticity: Study protocol for a randomized controlled trial

Authors:

Hurtado-Olmo, Patricia

González-Santos, Angela

Del-Olmo-Iruela, Laura

Hita-Contreras, Fidel

Hernández-Cortés, Pedro

Journal: PLoS ONE

Year: 2025

2. Changes in the Relationship Between Gray Matter, Functional Parameters, and Quality of Life in Patients with a Post-Stroke Spastic Upper Limb After Single-Event Multilevel Surgery: Six-Month Results from a Randomized Trial

Authors:

Hurtado-Olmo, Patricia

Hernández-Cortés, Pedro

González-Santos, Angela

Del-Olmo-Iruela, Laura

Catena, Andrés

Journal: Diagnostics

Year: 2025

3. Cortistatin exerts an immunomodulatory and neuroprotective role in a preclinical model of ischemic stroke

Authors:

Castillo-González, Julia

Buscemi, Lara

Vargas-Rodríguez, Pablo

Hirt, Lorenz

González-Rey, Elena

Journal: Pharmacological Research

Year: 2024

4. Anthropometric study of the scapula in a contemporary population from Granada. Sex estimation and glenohumeral osteoarthritis prevalence

Authors:

Garzon-Alfaro, Adoración

Botella-López, Miguel C.

Rus, Guillermo A.

González-Ramírez, Amanda Rocío

Hernández-Cortés, Pedro

Journal: PLoS ONE

Year: 2024

5. Surgical Treatment in Post-Stroke Spastic Hands: A Systematic Review

Authors:

Hurtado-Olmo, Patricia

González-Santos, Angela

Pérez de Rojas, Javier

Del Olmo, Laura

Hernández-Cortés, Pedro

Type: Systematic Review

Year: Not explicitly stated (likely 2024 or 2025 based on citation data)

Citations: 2

Yang Lei | Medical Physics | Best Researcher Award

Posted on 02/06/202502/06/2025 by TOT Awards

Dr. Yang Lei | Medical Physics | Best Researcher Award

Assistant Professor at Icahn School of Medicine at Mount Sinai, United States

Dr. Yang Lei is an Assistant Professor in the Department of Radiation Oncology at the Icahn School of Medicine at Mount Sinai and Adjunct Professor at the New York Proton Center. With a career spanning medical physics, AI applications in radiation therapy, and image-guided interventions, Dr. Lei has contributed extensively to the field through both academic and clinical avenues. He completed his postdoctoral research and medical physics residency at Emory University, where he also served as Chief Medical Physics Resident. His interdisciplinary expertise bridges therapeutic medical physics and advanced optimization algorithms for radiation treatment planning. Dr. Lei is an Associate Editor of Medical Physics and actively involved in professional communities such as AAPM, ASTRO, and the MR-Linac Consortium. Recognized with numerous awards and top-cited papers, Dr. Lei is a rising leader dedicated to advancing precision medicine and radiation oncology through innovative technology and collaborative science. 💡🔬

professional profile

Google Scholar

Education

Dr. Yang Lei’s academic path is defined by excellence in mathematical sciences and applied medical physics. He holds a Ph.D. in Information and Communication Engineering from Tianjin University (2016), where he developed face recognition algorithms using compressive sensing. He also earned an M.S. in Computational Mathematics (2013) and a B.S. in Mathematics & Computer Science (2010). From 2016 to 2021, he completed a postdoctoral fellowship at Emory University, focusing on AI-based image-guided radiation therapy. Dr. Lei further enhanced his clinical qualifications by completing a CAMPEP-accredited Medical Physics Certificate Program (2021–2022) and a Therapeutic Medical Physics Residency (2021–2024) at Emory University. His academic journey demonstrates a rare combination of mathematical theory, machine learning, and clinical innovation. This multidisciplinary education underpins his ability to drive impactful advancements in medical imaging, radiation therapy planning, and precision oncology. 🎓📘📊

Work Experience

Dr. Lei began his academic career as a postdoctoral fellow at Emory University in 2016, where he later became Chief Medical Physics Resident. He currently serves as Assistant Professor at Mount Sinai and Adjunct Professor at the New York Proton Center. His editorial contributions include serving as Associate Editor for Medical Physics, showcasing his leadership in peer review and publication ethics. Professionally, Dr. Lei has been deeply involved in advanced treatment planning, radiotherapy optimization, and AI-enhanced medical imaging. He is also an active member of several national and international working groups, such as the MR-Linac Consortium and AAPM’s Working Group on Student and Trainee Research. With experience in both research and clinical environments, Dr. Lei plays a crucial role in translating theoretical models into clinical applications. His trajectory reflects excellence in research, patient care, and professional service. 🏥🧠📈

Research Focus

Dr. Lei’s research integrates AI, optimization theory, and medical physics to enhance cancer treatment. His core focus is developing robust algorithms for inverse treatment planning, beam orientation optimization, and image-guided radiation therapy. He pioneers the use of large language models (LLMs) in auto-contouring and clinical decision support for brachytherapy and stereotactic body radiation therapy (SBRT). His past work includes sparse coding for face recognition, compressive sensing, and deep learning for medical image reconstruction. Dr. Lei’s research has evolved to cover non-convex optimization, second-order cone programming, and multi-objective treatment planning, significantly improving treatment precision. His projects emphasize translating computational models into clinical workflows to improve outcomes and reduce toxicity. His contributions advance the intersection of artificial intelligence, radiation oncology, and personalized medicine, setting new standards for automated and data-driven radiation therapy. 📊🤖⚕️

🏅 Awards and Honors

Dr. Lei has received numerous accolades for his academic contributions and clinical innovations. He is the recipient of a seed grant from Mount Sinai and a grant from Harvard Medical School’s Joint Center for Radiation Therapy. His research has earned recognition at multiple AAPM meetings, including the Science Council Research Award (2025) and top honors in Emory’s Annual Radiation Oncology Resident Research Day. Several of his papers have been named Wiley Top Cited and Downloaded Articles between 2020 and 2022, including first-author contributions in Medical Physics. His Editor’s Choice publication in Medical Physics and recognition as a Distinguished Reviewer in 2021 underscore his leadership in scientific communication. Dr. Lei also won Best Publication and Early-Career Investigator awards, solidifying his status as an emerging expert in radiation oncology and medical physics. 🥇📖🧪

🛠️ Skills

Dr. Lei brings a diverse and powerful skillset that spans computer science, applied mathematics, and clinical medical physics. He is proficient in machine learning frameworks (e.g., TensorFlow, PyTorch), optimization solvers (e.g., Gurobi, CVXPY), and programming languages including Python, MATLAB, and C++. His expertise covers sparse coding, compressed sensing, inverse planning, and second-order cone programming. Clinically, he is skilled in IMRT, VMAT, SBRT, HDR brachytherapy, and MR-guided radiation therapy. Dr. Lei is also adept in using treatment planning systems such as Eclipse, RayStation, and Monaco, and image processing platforms like 3D Slicer and MIM. He is experienced in deploying AI models in a medical physics workflow and integrating LLMs for auto-segmentation. His editorial, research, and mentoring experience further enhance his leadership in academic and professional settings. 💻🧠📐

Conclusion

Dr. Yang Lei is exceptionally qualified for the Research for Best Researcher Award. His scholarly productivity, clinical relevance, and technical innovation represent the highest standards of medical physics and data-driven oncology. His growing leadership in the research community, proven track record of publishing high-impact work, and commitment to education and mentoring make him a standout nominee. While future goals may include greater global visibility and expanded grant leadership, his current achievements already place him among the most promising and impactful researchers in his field. He is a compelling and deserving candidate for this honor.

Publications to Noted

Title: Deep learning in medical image registration: a review
Authors: Y Fu, Y Lei, T Wang, WJ Curran, T Liu, X Yang
Citations: 769
Year: 2020

Title: Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN
Authors: X Dong, Y Lei, T Wang, M Thomas, L Tang, WJ Curran, T Liu, X Yang
Citations: 361
Year: 2019

Title: MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks
Authors: Y Lei, J Harms, T Wang, Y Liu, HK Shu, AB Jani, WJ Curran, H Mao, T Liu, …
Citations: 359
Year: 2019

Title: Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography
Authors: J Harms, Y Lei, T Wang, R Zhang, J Zhou, X Tang, WJ Curran, T Liu, …
Citations: 314
Year: 2019

Title: A review on medical imaging synthesis using deep learning and its clinical applications
Authors: T Wang, Y Lei, Y Fu, JF Wynne, WJ Curran, T Liu, X Yang
Citations: 307
Year: 2021

Title: Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Authors: B Wang, Y Lei, S Tian, T Wang, Y Liu, P Patel, AB Jani, H Mao, WJ Curran, …
Citations: 273
Year: 2019

Title: A review of deep learning based methods for medical image multi-organ segmentation
Authors: Y Fu, Y Lei, T Wang, WJ Curran, T Liu, X Yang
Citations: 232
Year: 2021

Title: CBCT‐based synthetic CT generation using deep‐attention cycleGAN for pancreatic adaptive radiotherapy
Authors: Y Liu, Y Lei, T Wang, Y Fu, X Tang, WJ Curran, T Liu, P Patel, X Yang
Citations: 214
Year: 2020

Title: Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network
Authors: X Dong, Y Lei, S Tian, T Wang, P Patel, WJ Curran, AB Jani, T Liu, X Yang
Citations: 212
Year: 2019

Title: Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net
Authors: Y Lei, S Tian, X He, T Wang, B Wang, P Patel, AB Jani, H Mao, WJ Curran, …
Citations: 195
Year: 2019

Guanbo Wang | Biostatistics | Best Researcher Award

Posted on 02/06/202502/06/2025 by TOT Awards

Assist. Prof. Dr. Guanbo Wang | Biostatistics | Best Researcher Award

Assistant professor at The Dartmouth Institute, United States

Dr. Guanbo Wang is an Assistant Professor at The Dartmouth Institute for Health Policy and Clinical Practice and the Department of Biomedical Data Science, Dartmouth College. He specializes in biostatistics, causal inference, and machine learning, with a commitment to advancing statistical methodologies for improving public health. His work focuses on data integration, trial design, and personalized medicine using multi-source data such as randomized clinical trials and electronic health records. Dr. Wang holds a Ph.D. and M.Sc. in Biostatistics from McGill University, with research stints at Harvard University. He has collaborated with leading institutions like Harvard T.H. Chan School of Public Health, Biogen, and Roche, contributing to diverse therapeutic areas including cancer, cardiovascular diseases, and pediatric health. His academic contributions are evidenced by his prolific publication record and roles in high-impact research projects. Dr. Wang is also an active mentor, reviewer, and member of professional societies in statistics and epidemiology. 📊

professional profile

Google Scholar

Scopus

ORCID

Education

Dr. Guanbo Wang earned his Ph.D. in Biostatistics (2017–2022) and M.Sc. in Biostatistics (2015–2017) from McGill University, under esteemed mentors such as Robert Platt, Mireille Schnitzer, and Andrea Benedetti. His doctoral and master’s work emphasized causal inference, high-dimensional data, and clinical applications. He also completed a visiting scholar stint at Harvard University’s Department of Population Medicine in 2019, guided by Rui Wang. Currently, he is completing a Postdoctoral Fellowship (2022–2025) in Epidemiology at CAUSALab, Harvard T.H. Chan School of Public Health, mentored by Issa Dahabreh. His academic training integrates theoretical statistics with real-world medical challenges, contributing to a solid foundation in methodological development and applied health sciences. With additional statistical training from China, Dr. Wang’s global academic background uniquely equips him to tackle multifaceted health data challenges. 📘📈

Work Experience

Dr. Wang’s professional journey spans academia, industry, and collaborative health research. Since 2023, he has served as a research collaborator at Harvard’s CBAR on pediatric HIV/AIDS studies. Previously, he interned at Genentech/Roche, where he augmented early-phase oncology trials using external data. He consulted for Biogen on machine learning in neurology and supported various clinical research projects at McGill-affiliated hospitals. Earlier roles include internships with firms such as KPMG, AXA Insurance, and the National Bureau of Statistics of China, where he developed analytics and business strategies. Dr. Wang has also taught graduate courses and mentored students at McGill and Harvard. These experiences reflect his ability to bridge complex statistical theory with practical solutions in both research and corporate settings. 🏥📊

Awards and Honors

Dr. Wang has earned widespread recognition through prestigious awards and fellowships reflecting his scholarly excellence. He is a co-investigator on the $31M PCORI-funded RAPTOR-CIED project, supporting cardiac device care optimization. He was awarded the FRQS Doctorate Fellowship (2019–2022), valued at CAD 70,000, for his work on machine learning in anticoagulant effectiveness. Additional honors include the Research Institute of MUHC Fellowship (CAD 9,125), Harvard Pilgrim Fellowship (USD 4,000), and the CRM StatLab Award. Dr. Wang has also received the McGill Graduate Excellence Award (CAD 40,227), the McGill GREAT Award, and travel grants from the Statistical Society of Canada. His competitive success in acquiring NIH and CIHR funding as a trainee and collaborator further reflects his leadership in health data science. These distinctions underscore his impact on high-stakes research, statistical innovation, and mentorship within interdisciplinary academic and clinical communities. 🏆📑

Research Focus

Dr. Wang’s research lies at the intersection of causal inference, machine learning, and health policy. He focuses on developing robust statistical methods for data integration—particularly combining randomized controlled trials with real-world data sources to generate generalizable and actionable evidence. In personalized medicine, his work aims to evaluate treatment heterogeneity by leveraging multi-source longitudinal datasets and time-to-event outcomes. He also develops advanced methods for complex clinical trial designs, including adaptive, early-phase, and cluster-randomized trials. Another research stream explores how to incorporate prior clinical knowledge into high-dimensional prediction models to improve interpretability and clinical relevance. Methodologically, Dr. Wang draws on non/semi-parametric statistics, optimization, survival analysis, and computational methods. His work addresses diseases across pediatrics, oncology, cardiology, infectious diseases, and mental health. With a mission to inform precision health decisions, Dr. Wang’s research supports a deeper understanding of treatment effects across diverse populations and care settings. 🧬🧠📉

Conclusion

Dr. Guanbo Wang is an exceptional candidate for the Research for Best Researcher Award. His profile demonstrates a rare blend of theoretical innovation, real-world applicability, and academic leadership. His interdisciplinary and collaborative approach, especially in causal inference for healthcare, aligns perfectly with the award’s objectives to recognize researchers who push the boundaries of impactful, rigorous science.

Publications to Noted

Title: Causal inference with multiple concurrent medications: A comparison of methods and an application in multidrug-resistant tuberculosis
Authors: AA Siddique, ME Schnitzer, A Bahamyirou, G Wang, TH Holtz, GB Migliori, …
Citations: 31
Year: 2019

Title: Estimating treatment importance in multidrug-resistant tuberculosis using Targeted Learning: An observational individual patient data network meta-analysis
Authors: G Wang, ME Schnitzer, D Menzies, P Viiklepp, TH Holtz, A Benedetti
Citations: 18
Year: 2020

Title: Using Effect Scores to Characterize Heterogeneity of Treatment Effects
Authors: G Wang, PJ Heagerty, IJ Dahabreh
Citations: 17
Year: 2024

Title: Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patient data meta-analysis
Authors: Y Liu, ME Schnitzer, G Wang, E Kennedy, P Viiklepp, MH Vargas, …
Citations: 11
Year: 2022

Title: Evaluating hybrid controls methodology in early-phase oncology trials: a simulation study based on the MORPHEUS-UC trial
Authors: G Wang, MP Costello, H Pang, J Zhu, HJ Helms, I Reyes-Rivera, RW Platt, …
Citations: 9
Year: 2023

Title: Predictive factors of detectable viral load in HIV-infected patients
Authors: A Bouchard, F Bourdeau, J Roger, VT Taillefer, NL Sheehan, M Schnitzer, G Wang, …
Citations: 9
Year: 2022

Title: Robust integration of external control data in randomized trials
Authors: G Wang, R Karlsson, JH Krijthe, IJ Dahabreh
Citations: 6
Year: 2024

Title: Penalized G-estimation for effect modifier selection in the structural nested mean models for repeated outcomes
Authors: A Jaman, G Wang, A Ertefaie, M Bally, R Lévesque, R Platt, M Schnitzer
Citations: 6
Year: 2024

Title: Combining an experimental study with external data: study designs and identification strategies
Authors: L Ung, G Wang, S Haneuse, M Hernán, I Dahabreh
Citations: 4
Year: 2024

Emre Karakaya | Mining Engineering | Best Research Article Award

Posted on 30/05/202530/05/2025 by TOT Awards

Dr. Emre Karakaya | Mining Engineering | Best Research Article Award

Research Assistant at Konya Technical University, Turkey

Dr. Emre Karakaya is a dedicated Research Assistant in the Department of Mining Engineering at Konya Technical University, Türkiye. With a strong academic foundation and a passion for technological innovation in mining, Dr. Karakaya focuses on advancing mechanical mining techniques and integrating artificial intelligence in geological analysis. He earned his B.Sc. and M.Sc. in Mining Engineering from Selçuk University, followed by a Ph.D. from Konya Technical University in 2024. His work bridges traditional mining practices with emerging technologies such as artificial neural networks and image processing. Dr. Karakaya has spearheaded several research initiatives and is the author of influential publications aimed at improving rock texture analysis and deliverability forecasting models. As an active member of the Union of Chambers of Turkish Engineers and Architects (TMMOB), he contributes to both academic and professional mining communities. His research is anchored in real-world applications and guided by a vision to modernize geological and mining processes.

professional profile

ORCID

Education

Dr. Emre Karakaya’s educational journey reflects a deep-rooted commitment to the field of mining engineering. He completed his Bachelor of Science (B.Sc.) in Mining Engineering from Selçuk University in 2015, where he first developed a strong interest in mechanical mining and geology. His academic curiosity led him to pursue a Master of Science (M.Sc.) at the same institution, graduating in 2018 with advanced knowledge in mining processes and rock mechanics. Seeking to bridge engineering with computational technology, he earned his Ph.D. from Konya Technical University in 2024. His doctoral research focused on texture coefficient analysis through advanced image segmentation and neural networks, showcasing his interdisciplinary expertise. Each academic step has added to his growing repertoire of technical and analytical skills, allowing him to contribute significantly to academic research and industry applications. His academic path has consistently aligned with his mission to modernize and innovate within the mining sector.

Work Experience

Since 2021, Dr. Emre Karakaya has served as a Research Assistant in the Department of Mining Engineering at Konya Technical University. His work primarily revolves around mechanical mining, geological modeling, and applying artificial intelligence to solve complex problems in the mining sector. Dr. Karakaya has participated in and led university research projects aimed at creating predictive models using physical and mechanical rock properties. His hands-on experience with artificial neural networks and image processing techniques has enabled him to tackle challenges related to rock texture analysis and deliverability forecasting. He has also worked in collaboration with various academic teams to integrate digital tools in traditional mining practices. Prior to his current position, he gained research experience during his M.Sc. studies at Selçuk University. With a strong foundation in engineering and a passion for innovation, Dr. Karakaya continues to bridge academic theory with practical application in the evolving world of mining technology.

Research Focus

Dr. Emre Karakaya’s research focus lies at the intersection of mechanical mining, rock mechanics, and computational intelligence. His Ph.D. research explored innovative methods for calculating texture coefficients of rocks using image segmentation and image processing—paving the way for more accurate geological assessments. He is particularly interested in leveraging Artificial Neural Networks (ANNs) to predict rock behaviors and physical properties, thereby enhancing the efficiency of mining operations. His ongoing work includes building deliverability forecasting models based on the mechanical and physical characteristics of rock formations. With an eye toward practical implementation, his research addresses both academic gaps and industrial needs. By combining traditional geological sciences with emerging digital tools, Dr. Karakaya is helping redefine how mining data is collected, analyzed, and applied. His interdisciplinary approach has made meaningful contributions to automated mining systems and remote geological analysis, aligning with global trends in smart mining and sustainable resource extraction.

🛠️ Skills

Dr. Emre Karakaya brings a diverse and specialized skill set to the field of mining engineering. His core competencies include mechanical mining, mining process optimization, and geological modeling. He has advanced proficiency in image processing, texture analysis, and segmentation algorithms, which he applies in evaluating rock properties. He is skilled in Artificial Neural Networks (ANNs) and machine learning models, especially for predictive forecasting in mining operations. His technical skills are supported by strong analytical abilities and software proficiency in tools such as MATLAB, Python, and specialized mining software. Dr. Karakaya also demonstrates effective project management capabilities, having led multiple university-sponsored research projects. His strong background in academic writing, data interpretation, and publication contributes to his success as a researcher. Furthermore, his collaborative approach and ability to communicate complex technical information make him an effective educator and team member in interdisciplinary environments.

Conclusion

Dr. Emre Karakaya is a strong candidate for the Best Research Article Award, especially in fields blending traditional engineering disciplines with artificial intelligence and image analytics. His article, derived from his doctoral thesis, reflects originality, methodological rigor, and application relevance. While citation traction is still developing, his innovative approach and practical outcomes align well with the award’s goal to honor high-impact, forward-thinking research. Enhancing visibility and international reach can further elevate his work’s influence.

Publications to Noted

📘 1. A New Approach for Calculating Texture Coefficients of Different Rocks with Image Segmentation and Image Processing Techniques

Authors: Emre Karakaya
Journal: Microscopy Research and Technique
Publication Date: May 26, 2025
Citations: Data not available at this time.

🏞️ 2. Cihanbeyli-Celil Boğazı (Konya) Peri Bacalarının Araştırılması ve Fiziko-mekanik Özelliklerinin Belirlenmesi

Authors: Niyazi Bilim, Bilgehan Kekeç, Emre Karakaya, Özer Karakayacı
Journal: Konya Journal of Engineering Sciences
Publication Date: June 1, 2023

🛠️ 3. Penetration Rate Prediction Models for Core Drilling

Authors: Emre Karakaya, Niyazi Bilim
Journal: Mining, Metallurgy & Exploration
Publication Year: 2021

🛰️ 4. Applications of Terrestrial Laser Scanning (TLS) in Mining: A Review

Authors: Bilgehan Kekeç, Niyazi Bilim, Emre Karakaya, Dhikra Ghiloufi
Journal: Türkiye Lidar Dergisi
Publication Year: 2021
Citations: 1 CrossRef citation as per DergiPark profile.

🔧 5. Delme Hızı ve Baskı Kuvvetinin Enerji Tüketimine Etkisinin Araştırılması (Investigation on the Effect of Drilling Speed and Pressure Force on Energy Consumption)

Authors: Niyazi Bilim, Emre Karakaya
Journal: Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi
Publication Date: March 1, 2019

🧂 6. Çözeltİ Madencİlİğİ Yöntemİyle Kaya Tuzu Üretİmİ (Rock Salt Production by Solution Mining Method)

Authors: Prof. Dr. Niyazi Bilim, Emre Karakaya
Journal: Konya Journal of Engineering Sciences
Publication Date: December 1, 2020

Mohammed Endris | Marketing | Best Researcher Award

Posted on 29/05/202529/05/2025 by TOT Awards

Mr. Mohammed Endris | Marketing | Best Researcher Award

PhD Student at Arba Mainch University, Ethiopia

Mohammed Ahmed Endris is an Assistant Professor of Management at Debre Berhan University, Ethiopia, where he has served since 2008. With over 15 years of academic and research experience, he specializes in business strategy, economic policy, and globalization impacts. His scholarly interests span across economic liberalization, privatization, and the export competitiveness of emerging economies. Passionate about driving academic excellence and practical change, he contributes actively to curriculum development and institutional reform. Mohammed is also affiliated with Indira Gandhi National Open University, where he contributes to vocational education initiatives. His multidisciplinary approach and collaborative projects with international institutions reflect a deep commitment to transformative education and applied research. A strong advocate of quality education and innovation, he continues to influence both academic communities and policy discussions through his publications and participation in national and global forums.

professional profile

ORCID

Education

Mohammed Ahmed Endris holds a Bachelor’s degree in Business Management from Jimma University, Ethiopia, where he laid the foundation for his academic and analytical acumen in organizational behavior and economics. He later pursued an MBA from Indira Gandhi National Open University (IGNOU), India, beginning in June 2014. This international exposure expanded his competencies in strategic management, financial systems, and policy analysis. His education has been marked by a blend of theoretical knowledge and practical insights, equipping him to understand complex management systems across global and local contexts. He has continuously engaged in professional development and capacity-building programs, both as a participant and facilitator, further enriching his expertise. His multidisciplinary academic background serves as the cornerstone of his research in economic reforms and their implications on industrial competitiveness, particularly in developing economies like Ethiopia.

Work Experience

Since February 2008, Mohammed Ahmed Endris has served as an Assistant Professor of Management at Debre Berhan University in Ethiopia. With over 15 years of teaching, research, and mentoring experience, he has played a pivotal role in shaping the academic direction of the university’s management department. His courses span core areas such as business strategy, economics, and international business. Beyond classroom instruction, Mohammed has taken on administrative and advisory responsibilities, contributing to curriculum reforms and faculty development. His affiliation with IGNOU’s Institute for Vocational Education and Training in India adds an international dimension to his academic profile, where he provides guidance and shares best practices. Throughout his academic journey, he has led and participated in collaborative research projects, publishing multiple peer-reviewed articles. His real-world orientation and policy-focused research have earned him respect among peers and students alike, helping bridge the gap between academic theory and industrial application.

Research Focus

Mohammed Ahmed Endris’s research focuses on the intersection of economic liberalization, globalization, and business competitiveness. His studies explore how policy reforms—especially those post-1991 in Ethiopia—have impacted the export performance of manufacturing firms. He critically analyzes privatization outcomes and international trade strategies, offering evidence-based recommendations for policymakers and industry leaders. His interest extends to the dynamics of global supply chains, organizational adaptation to liberalized economies, and the strategic alignment of firms to international standards. Through comparative and longitudinal studies, he investigates both macroeconomic policies and microeconomic firm behaviors. Mohammed’s research often bridges the theoretical frameworks of business management with practical policy implications, making his work relevant to academics, government agencies, and international organizations alike. His goal is to support sustainable industrial transformation in developing nations, fostering inclusive growth through informed policy and managerial innovation. His interdisciplinary perspective ensures that his work remains impactful across sectors.

Conclusion

Mohammed Ahmed Endris is a strong candidate for the Research for Best Researcher Award, particularly in the context of African economic reform studies. His long-term dedication to academia, combined with his recent publications and international academic links, showcases scholarly potential and commitment. With minor improvements in publication diversity and quantitative research metrics, his profile would be even more competitive on a global stage.

Publications to Noted

Dynamic Effects of Economic Liberalization, Privatization, and Globalization on the Export Performance of Ethiopian Privatized Manufacturing Firms

Journal: Administrative Sciences

Year: 2025

Authors: Mohammed Ahmed Endris

Ethiopian Economic Liberalization Policy Domains and International Competitive Priorities: Nexus of Export Performance of Manufacturing Firms After 1991 Economic Reforms

Journal: World

Year: 2025

Authors: Mohammed Ahmed Endris

Erratic Views and Policy Inconsistency on Privatisation Modalities in Ethiopia: Implications on the Performance of Firms in the International Market – A Systematic Review

Journal: Research on Enterprise in Modern Economy: Theory and Practice

Year: 2024

Authors: Mohammed Ahmed Endris

Route for Sustainable Development in Ethiopia: Opportunities and Braves of Good Governance

Journal: African Journal of Political Science and International Relations

Year: 2017

Authors: Idris Mohammed, Mohammed Ahmed

Marketing Practices and Challenges of Mung Bean in Ethiopia Amhara Regional State: North Shewa Zone in Focus

Journal: African Journal of Marketing Management

Year: 2017

Authors: Mohammed Ahmed, Muhammed Siraj, Said Mohammed

Ethiopia Commodity Exchange: Marketing Prospects and Challenges in Focus

Journal: African Journal of Marketing Management

Year: 2017

Authors: Mohammed Ahmed Endris

Parinaz Hosseini | Graphene devices | Best Researcher Award

Posted on 28/05/202528/05/2025 by TOT Awards

Mrs. Parinaz Hosseini | Graphene devices | Best Researcher Award

Phd. Student at Iran University of Science and Technology, Iran

Parinaz Hosseini is a dedicated Ph.D. student in Electrical Engineering specializing in Telecommunications at the Iran University of Science and Technology. With a solid academic foundation and a profound passion for research, Parinaz is making significant strides in the advanced fields of graphene-based reflectarrays and transmitarrays. She completed her undergraduate and master’s degrees at Shahid Beheshti University, focusing on electrical engineering with specialties in telecommunications and analog electronics, respectively. Her research integrates cutting-edge technologies with innovative design techniques, aiming to revolutionize terahertz frequency applications. Known for her independent and solution-oriented research approach, Parinaz has published in high-impact journals and contributes meaningfully to academic advancements under the supervision of Dr. Homayoon Oraizi. Her strong theoretical knowledge combined with practical skills and a research-driven mindset positions her as a rising scholar in health informatics and communication systems. Parinaz actively engages with international scientific communities through research, publication, and technical collaborations.

professional profile

ORCID

Education

Parinaz Hosseini began her academic journey with a Bachelor’s Degree in Electrical Engineering (Telecommunications) from Shahid Beheshti University, one of Iran’s premier institutions. Her undergraduate studies laid the foundation for an in-depth understanding of signal processing, electromagnetic theory, and communication systems. Building on this strong base, she pursued her Master’s Degree in Electrical Engineering (Analog Electronics) at the same university, delving deeper into analog circuit design, system integration, and microelectronics. Currently, she is enrolled in a Ph.D. program at the Iran University of Science and Technology, specializing in Telecommunications. Her doctoral research centers on cutting-edge innovations in terahertz reflectarrays using graphene—a transformative area in advanced wireless communications. Throughout her academic path, Parinaz has demonstrated exceptional analytical capabilities, perseverance in complex problem-solving, and a genuine passion for interdisciplinary exploration in electrical and telecommunication engineering.

work Experience

Parinaz Hosseini is currently engaged in academic research as a Ph.D. student at Iran University of Science and Technology, where she focuses on the design and analysis of graphene-based reflectarray antennas for terahertz applications. Working under the mentorship of Dr. Homayoon Oraizi, Parinaz has independently led research projects involving advanced electromagnetic simulations, nano-material behavior analysis, and antenna structure optimization. Her experience encompasses both theoretical modeling and practical implementation using industry-standard software tools. She has also contributed to research consultancies and co-authored scholarly publications. Beyond technical competencies, she has actively participated in seminars and collaborative research workshops. Her previous roles in master’s and bachelor’s projects involved analog system design and practical telecommunications experiments, showcasing her ability to translate complex electrical concepts into functional prototypes. Parinaz brings a robust mix of academic diligence, hands-on technical application, and collaborative teamwork to her research and broader academic environment.

Research Focus

Parinaz Hosseini’s research centers on the design, simulation, and optimization of graphene-based reflectarrays and transmitarrays at terahertz frequencies—technologies considered pivotal for the future of wireless communication, biomedical imaging, and high-resolution sensing. Her work integrates material science, antenna theory, and high-frequency electronics, aiming to develop highly efficient, reconfigurable, and miniaturized antenna systems. Her doctoral project investigates the electromagnetic behavior of graphene under varying conditions and proposes cluster-based design methodologies to enhance beam steering and signal control. Parinaz’s research bridges theoretical electromagnetics and practical design, contributing to the advancement of next-generation telecommunication systems. Her recent publication in Scientific Reports presents a novel approach to THz reflectarray design, utilizing cell clusters for improved functionality. Her goals include expanding the application of her research into biomedical sensing and intelligent antenna networks, placing her at the intersection of applied physics, electrical engineering, and real-world innovation.

Conclusion

Parinaz Hosseini exhibits strong potential as a young researcher in the field of telecommunications and advanced materials. Her publication in a high-ranking journal and her pioneering research on terahertz reflectarrays using graphene mark her as an emerging contributor in her domain. While she would benefit from broader dissemination of her work, more engagement with the global research community, and stronger citation metrics, her independent innovation and technical rigor make her a deserving candidate for the Best Researcher Award – Emerging Category or Early Career Researcher. With targeted support and opportunities for collaboration, she could evolve into a leading expert in future wireless and photonic technologies.

Publications to Noted

📄 1. “Fully Controllable Beam‐Steering 1‐THz Transmitarray Using Graphene–Metal Hybrid Metasurface”

Authors: Parinaz Hosseini, Homayoon Oraizi
Journal: IET Microwaves, Antennas & Propagation
Publication Date: January 2025

📄 2. “Analysis and Design of Terahertz Reflectarrays Based on Graphene Cell Clusters”

Authors: Parinaz Hosseini, Homayoon Oraizi
Journal: Scientific Reports
Publication Date: December 21, 2022

Ghaliah Alfurayh | Health informatic | Best Research Article Award

Posted on 27/05/202527/05/2025 by TOT Awards

Ms. Ghaliah Alfurayh | Health informatic | Best Research Article Award

Health Informatics Analyst at King Faisal Specialist Hospital & Research Centre (KFSHRC), Saudi Arabia

Ghaliah H. Alfurayh is a dedicated Health Informatics Analyst at King Faisal Specialist Hospital & Research Centre (KFSHRC), Riyadh. With over a decade of experience in digital health systems, she has contributed significantly to optimizing patient engagement and health data management. Holding a Master’s degree in Health Informatics, Ghaliah’s work bridges the gap between clinical practice and digital innovation. Her research explores the dynamics of patient portal usage, aiming to enhance communication, access, and overall healthcare outcomes. Known for her analytical acumen and collaborative spirit, she has been instrumental in various health informatics initiatives and research collaborations, including work with the King Saud bin Abdulaziz University for Health Sciences (KSAUHS). As a passionate advocate for eHealth integration, she envisions transforming Saudi Arabia’s healthcare system through technological empowerment, innovation, and evidence-based practice. Her ongoing contributions continue to support smarter, safer, and more responsive healthcare environments.

professional profile

ORCID

Education

Ghaliah H. Alfurayh holds a Master’s degree in Health Informatics, which forms the cornerstone of her professional career. Her academic foundation is strongly rooted in understanding how digital systems can elevate patient care, decision-making, and healthcare administration. Her graduate research, focused on the utilization of patient portals, reflected her keen interest in exploring how digital tools empower patients to actively manage their health and communication with providers. Her educational journey has included extensive training in medical data systems, information architecture, health policy informatics, and clinical decision support tools. Throughout her studies, she demonstrated exceptional dedication to integrating healthcare delivery with modern information systems. Ghaliah’s commitment to continued learning is evident in her engagement with current technologies, publications, and industry collaborations. Her education has prepared her to serve as a bridge between healthcare professionals and data-driven decision-making tools, with a consistent focus on patient-centered care.

work Experience

Ghaliah currently serves as a Health Informatics Analyst (HITA) at the prestigious King Faisal Specialist Hospital & Research Centre, Riyadh. With over 10 years of field experience, she has applied her expertise in digital healthcare systems to improve clinical workflows, data integration, and patient engagement platforms. Her work involves evaluating and optimizing the performance of patient portals and other electronic health record (EHR) systems, while ensuring compliance with health informatics standards and regulatory frameworks. She has collaborated on institutional research and consultancy projects aimed at improving healthcare services and implementing eHealth innovations. Ghaliah’s contributions span system implementation, data analytics, clinical decision support, and user experience optimization. Her hands-on involvement in training medical staff in digital systems also adds a vital human dimension to her role. Her professional journey reflects a seamless integration of technological fluency with a strong understanding of the healthcare environment, making her a valuable asset in the Saudi digital health ecosystem.

Research Focus

Ghaliah’s research interests are deeply rooted in Health Informatics, with a special emphasis on digital patient engagement platforms such as patient portals. Her master’s thesis explored how patients interact with these portals to manage their health, access medical records, schedule appointments, and communicate with care providers. This research is reflective of her broader aim to enhance patient autonomy, optimize healthcare communication, and promote technology-enabled healthcare systems. She is particularly interested in how data visualization, patient feedback systems, and real-time access to health information can improve patient satisfaction and clinical outcomes. Ghaliah also explores emerging trends in eHealth systems, interoperability standards, and healthcare data governance. Her work aligns with national digital transformation initiatives and aims to create more patient-centric, efficient, and data-driven care models. Collaborating with KFSHRC and KSAUHS, she continues to conduct impactful studies that contribute to the ongoing evolution of Saudi Arabia’s healthcare system.

Conclusion

Ghaliah H. Alfurayh is a strong candidate for the Best Research Article Award, particularly for early-career professionals or those in applied research categories. Her article addresses a critical area in healthcare modernization—patient engagement through digital platforms. While her academic portfolio is still growing, the quality and relevance of her current research, combined with her practical experience, clearly support her nomination. To further strengthen future applications, expanding publication volume, academic leadership roles, and cross-border research engagements is recommended.

Publications to Noted

“Feasibility of Using Patient Portal to Enhance Patient Engagement and Patient-Generated Data in Tertiary Hospital”

Authors: Ghaliah H. Alfurayh*, Abdullah T. Alanazi, Hanin S. Aldalham
Year of Publication: 2025
Journal: Healthcare
Volume and Issue: Volume 13, Issue 5
Article Number: 518

Yoichi Hanawa | Developmental Disorder | Best Researcher Award

Posted on 26/05/202526/05/2025 by TOT Awards

Mr. Yoichi Hanawa | Developmental Disorder | Best Researcher Award

physiatrist at Showa Medical University Karasuyama Hospital, Japan

Dr. Yoichi Hanawa is a dedicated psychiatrist with nearly a decade of clinical experience in neuropsychiatry and mental healthcare. He is currently pursuing his Doctor of Medicine degree at Showa Medical University, Tokyo, reflecting his strong commitment to advancing medical research and psychiatric treatment. Since 2016, he has served in various roles across prominent hospitals, including Showa University Karasuyama Hospital and Northern Yokohama Hospital, delivering compassionate care and specialized mental health services. Certified as a Designated Physician of Mental Health and Occupational Health Physician, Dr. Hanawa brings both clinical precision and holistic patient care to his practice. With a passion for research and improving psychiatric pathways, he contributes to developing innovative approaches in the field of neuropsychiatry. His dual foundation in medicine and agro-biological sciences allows for a unique interdisciplinary perspective, enriching his scientific insights and therapeutic strategies.

professional profile

ORCID

Scopus Profile

Education

Dr. Hanawa holds two academic degrees: a Bachelor of Medicine from Kagoshima University (2014), and a Bachelor of Agro-Biological Resource Sciences from the University of Tsukuba (2005). His educational journey combines both life sciences and clinical medicine, giving him a well-rounded background for psychiatric practice and biomedical research. His first academic pursuit in agro-biological sciences laid the groundwork for understanding environmental and physiological interactions, which he later integrated with human mental health and neurological science. Following his medical graduation, he embarked on a rigorous residency and clinical career in psychiatry while enrolling in advanced doctoral studies at Showa Medical University Graduate School of Medicine. This path reflects his dedication to both evidence-based medicine and academic development. Currently, his doctoral studies focus on deepening his research in neuropsychiatry and advancing mental health care models in Japan.

work Experience

Dr. Hanawa’s professional career in psychiatry began in 2014 at Niizashiki Central General Hospital, Saitama, where he worked as a resident doctor. From 2016 onward, he served at Showa University Karasuyama Hospital, Tokyo, in the Department of Neuropsychiatry. His experience spans both acute and chronic psychiatric care, with key responsibilities in clinical diagnosis, psychopharmacological treatment, and patient rehabilitation. Between 2017 and 2018, and again from 2024 to 2025, he worked at Showa University Northern Yokohama Hospital, Kanagawa, in the Department of Mental Care Center, broadening his expertise in hospital-based mental health services. In 2025, he returned to Karasuyama Hospital as a leading psychiatrist, where he continues to serve. Alongside his clinical work, he is actively pursuing his doctoral research in psychiatry. His interdisciplinary and multi-institutional experience makes him a valued contributor in both academic and healthcare environments.

Research Focus

Dr. Hanawa’s current research focuses on neuropsychiatric disorders, with a particular interest in the clinical pathways and diagnostic complexity of central nervous system tumors in adolescents, mental health in occupational settings, and innovative therapeutic approaches for severe psychiatric conditions. He investigates the interface between neurology and psychiatry, aiming to develop targeted treatment modalities through biomarker analysis, neuroimaging, and epidemiological mapping. He is also involved in protocol design for pediatric congenital craniofacial disorder biobanks, examining how structural abnormalities affect neurodevelopment and psychiatric outcomes. His interdisciplinary research bridges clinical psychiatry, epidemiology, and translational neuroscience, contributing to personalized medicine initiatives in Japan. Through his doctoral work at Showa Medical University, he is shaping the future of integrated mental health strategies and evidence-based neuropsychiatric care.

Conclusion

While Dr. Yoichi Hanawa exhibits solid clinical credentials and academic commitment, he may not currently meet the competitive research standards required for the Research for Best Researcher Award. His transition to research via PhD studies is promising, but he should focus on:

Publishing peer-reviewed research,
Participating in academic conferences,
Leading or joining collaborative research projects.

Recommendation: Consider nominating him for a Clinical Excellence Award, Emerging Psychiatric Researcher Award, or Early Career Mental Health Recognition, until a stronger research portfolio is built.

Publications to Noted

1. Comparison of ADOS‐2 Scores in Adults with Attention Deficit Hyperactivity Disorder and Autism Spectrum Disorder

Authors: Information not available.
Year: 2025

2. ASD Symptoms in Adults with ADHD: A Comparative Study Using ADOS-2

Authors: Wakaho Hayashi, Yoichi Hanawa, Akira Iwanami
Year: 2022

3. ASD Symptoms in Adults with ADHD: A Preliminary Study Using the ADOS-2

Authors: Wakaho Hayashi, Yoichi Hanawa, Yuriko Iwami, Keisuke Aoyagi, Nobuyuki Saga, Dan Nakamura, Akira Iwanami
Year: 2022

4. Correction to: ASD Symptoms in Adults with ADHD: A Preliminary Study Using the ADOS-2

Authors: Wakaho Hayashi, Yoichi Hanawa, Yuriko Iwami, Keisuke Aoyagi, Nobuyuki Saga, Dan Nakamura, Akira Iwanami
Year: 2022

5. Similarity of Subjective Symptoms Between Autism Spectrum Disorder and Attention‐Deficit/Hyperactivity Disorder in Adults: Preliminary Findings

Authors: Atsuko Nakagawa, Wakaho Hayashi, Takashi Nishio, Yoichi Hanawa, Keisuke Aoyagi, Yuki Ota, Akira Iwanami
Year: 2021

Lucia De Martino | Neurooncology | Best Researcher Award

Posted on 26/05/202526/05/2025 by TOT Awards

Dr. Lucia De Martino | Neurooncology | Best Researcher Award

Medical Executive at Santobono Pausilipon Nationally Significant Hospital Company, Italy

Dr. Lucia De Martino, born on January 31, 1986, in Naples, Italy 🇮🇹, is a Consultant at the Neuro-Oncology Unit of AORN Santobono-Pausilipon. With a passion for pediatric neuro-oncology, she has made significant contributions to the diagnosis, treatment, and research of childhood brain tumors. Fluent in English, French, and German 🗣️, Dr. De Martino combines international expertise with compassionate clinical care. She has worked in prestigious institutions, including the Fondazione IRCCS Istituto Nazionale dei Tumori (Milan) and Hôpital Béclère (Paris), reflecting her diverse training. Her work emphasizes evidence-based medicine, multidisciplinary collaboration, and cutting-edge therapies for pediatric patients. She serves as a principal and sub-investigator on several national and international clinical trials targeting DIPG, medulloblastoma, and pediatric gliomas. Driven by scientific curiosity and empathy, she continuously engages in academic, clinical, and ethical advancements, contributing actively to pediatric oncology forums and congresses worldwide 🌍.

professional profile

ORCID

Scopus Profile

Education

Dr. Lucia De Martino’s educational journey reflects a deep commitment to pediatrics and oncology. She earned her Medical Degree from Università di Napoli “Federico II” in 2011 🎓. During her medical studies, she participated in the Erasmus program at the Heinrich Heine University of Düsseldorf (Germany), expanding her academic horizons. She received her Paediatrics Specialization from the same university in 2017 and earned her Master’s Degree in Pediatric Intensive Care from Università Cattolica – Ospedale Gemelli di Roma the same year. Dr. De Martino obtained her Medical License in 2012 and has been registered with the Neapolitan Medical Council (NA033767). Her training is marked by international exposure, practical excellence, and a research-oriented mindset. Through continuous learning, participation in clinical workshops, and evidence-based courses, she keeps her knowledge sharp and aligned with the latest developments in pediatric oncology and intensive care 🧠🩺.

work Experience

Dr. Lucia De Martino began her career with clinical internships at the Pediatric Endocrinology Center, University of Naples (2010–2011). She then engaged in clinical and research work at Hôpital Béclère (Paris) in the Neonatal Intensive Care Unit (2016), followed by a temporary post at the Istituto Nazionale dei Tumori in Milan (2022–2023). Since December 2017, she has served as a Consultant in the Neuro-Oncology Unit of AORN Santobono-Pausilipon, Naples. She is deeply involved in both patient care and research, acting as Principal Investigator and Sub-Investigator in numerous clinical trials on DIPG, ependymoma, medulloblastoma, and glioma. Her current projects include biomarker studies, observational CNS tumor trials, and national registries. Dr. De Martino also contributes to international research efforts like SIOP Europe studies and has collaborated with renowned professionals like Dr. Lucia Quaglietta and Dr. Giuseppe Cinalli. Her work bridges advanced research and compassionate pediatric care 👩‍⚕️🧬.

Research Focus

Dr. Lucia De Martino’s research centers on pediatric neuro-oncology, particularly focusing on central nervous system (CNS) tumors such as DIPG, medulloblastoma, and ependymoma 🧠🧒. Her research interests include studying molecular markers, biomarkers, and precision therapies to improve diagnosis and treatment outcomes in children. She is involved in several cutting-edge clinical trials, including radiotherapy combined with nimotuzumab and vinorelbine, biobank projects, and retrospective observational studies. Her focus on diffuse midline gliomas with H3 K27M mutation and craniosynostosis-related syndromes aligns with the latest challenges in pediatric oncology. She bridges clinical care and biological research, aiming to personalize treatments and better understand tumor behavior. With a collaborative and multidisciplinary mindset, she contributes to both national registries and global efforts like the SIOPE DIPG Registry and SIOP EP II trials. Her mission is to enhance survival and quality of life for children through science-backed innovations and compassionate care 🧬❤️.

🏅 Awards and Honors

While no formal awards are explicitly listed, Dr. Lucia De Martino’s selection as Principal Investigator and Sub-Investigator on numerous national and international trials is itself a reflection of professional distinction and academic trust 🏆. Being entrusted with leadership roles in landmark studies such as the SIOP DIPG Registry, the International Ependymoma Program, and the Italian Pediatric Thrombosis Registry underlines her recognized expertise and contribution to pediatric oncology. Her participation in high-level training and international congresses — such as SIOP Europe and specialized workshops in pediatric oncology and neurosurgery — further confirms her position as a valued medical researcher. The trust placed in her by leading clinical figures (Dr. Quaglietta, Dr. Cinalli) and institutions like AORN Santobono-Pausilipon and Fondazione IRCCS demonstrates both peer recognition and leadership potential in the field of pediatric neuro-oncology 💫. These roles and appointments are a testament to her clinical excellence and research-driven vision 🧠💡.

🛠️ Skills

Dr. Lucia De Martino possesses a robust blend of clinical, research, and communication skills. Her clinical strengths include pediatric intensive care, neuro-oncology diagnostics, and oncological emergency management 👩‍⚕️. She is experienced with clinical trials management, including protocol development, data collection, and ethical oversight. She has strong command over digital tools like SPSS IBM, essential for research analysis. Her multilingualism in Italian, English, French, and German facilitates international collaboration 🌍. Additionally, Dr. De Martino is skilled in Good Clinical Practice (GCP) standards and Evidence-Based Medicine (EBM) applications. She thrives in multidisciplinary environments and is adept at translating complex clinical data into actionable treatment plans. Her participation in workshops on neurofibromatosis, pediatric pain, solid tumors, and rare congenital disorders further solidifies her practical expertise. Whether at bedside or in lab meetings, she brings clarity, compassion, and critical thinking to every clinical and academic interaction 🧑‍🔬💬📊.

Conclusion

Dr. Lucia De Martino demonstrates outstanding dedication to pediatric neuro-oncology, particularly in rare and aggressive brain tumors in children. Her consistent leadership in clinical trials, involvement in high-impact international collaborations, and contributions to translational research mark her as a strong and worthy candidate for the Best Researcher Award.

Publications to Noted

1. Primary Central Nervous System Tumors in Adolescents: A Population-Based Study on Epidemiology and Clinical Pathways in a Challenging Age Group

Authors: Lucia De Martino, Lucia Quaglietta, Peppino Mirabelli, et al.
Journal: Current Oncology
Year: 2025
Citations: Not available as of May 2025

🧬 2. Biobank for Craniosynostosis and Faciocraniosynostosis, Rare Pediatric Congenital Craniofacial Disorders: A Study Protocol

Authors: Lucia De Martino, Peppino Mirabelli, Lucia Quaglietta, Ursula Pia Ferrara, Stefania Picariello, Domenico Vincenzo De Gennaro, Marco Aiello, Giovanni Smaldone, Ferdinando Aliberti, Pietro Spennato, Daniele De Brasi, Eugenio Covelli, Giuseppe Cinalli
Journal: Child’s Nervous System
Year: 2024
Citations: Not available as of May 2025

🧠 3. Neuroimaging in Nonsyndromic Craniosynostosis: Key Concepts to Unlock Innovation

Authors: Lucia De Martino, et al.
Journal: Diagnostics
Year: 2024
Citations: Not available as of May 2025

🧪 4. Targeting Group 3 Medulloblastoma by the Anti-PRUNE-1 and Anti-LSD1/KDM1A Epigenetic Molecules

Authors: Lucia De Martino, et al.
Journal: International Journal of Molecular Sciences
Year: 2024
Citations: Not available as of May 2025

🧬 5. Germline Mutations and New Copy Number Variants Among 40 Pediatric Cancer Patients Suspected for Genetic Predisposition

Authors: Lucia De Martino, et al.
Journal: Clinical Genetics
Year: 2019
Citations: Not available as of May 2025

🫁 6. Porcine vs Bovine Surfactant Therapy for Preterm Neonates with RDS: Systematic Review with Biological Plausibility and Pragmatic Meta-Analysis of Respiratory Outcomes

Authors: Lucia De Martino, et al.
Journal: Respiratory Research
Year: 2019
Citations: Not available as of May 2025

🧠 7. Symptomatic Malignant Spinal Cord Compression in Children: A Single-Center Experience

Authors: Lucia De Martino, Pietro Spennato, Salvatore Vetrella, et al.
Journal: Italian Journal of Pediatrics
Year: 2019
Citations: 25 (as per Mendeley)

Sumaya Saqr | Pedagogy | Best Researcher Award

Posted on 23/05/202523/05/2025 by TOT Awards

Dr. Sumaya Saqr | Pedagogy | Best Researcher Award

Lecturer at Emirates College for Advanced Education, United Arab Emirates

Sumaya Saqr is a seasoned educator and researcher based in Abu Dhabi, UAE. With over three decades of experience in English language education, pedagogy, and teacher training, she currently serves as a Lecturer in the Language, Cognition, and Growth Division at Emirates College for Advanced Education (ECAE). Her academic path spans Australia and the UAE, culminating in a Ph.D. in Education from Curtin University. Throughout her career, Sumaya has demonstrated a strong commitment to nurturing student-teacher collaboration, curriculum innovation, and inclusive learning practices. She is known for her leadership in educational supervision, academic support, and curriculum development. As a co-investigator on numerous internal research projects, she continues to champion quality teaching and deep learning strategies in alignment with national educational goals. Her work seamlessly blends practical classroom experience with academic rigor, making her a pivotal figure in teacher education and research in the region.

professional profile

Google Scholar

Education

Sumaya Saqr holds a Doctor of Philosophy in Education (Ph.D., Curtin University, 2025), a Master of Science in Science Education (M.Sc., Curtin University of Technology, 2010), and a Graduate Certificate in Education (Deakin University, 2009). She earned her foundational degree—a B.Ed./B.A. in English Language and Teaching Methods—from the United Arab Emirates University in 1991. Her academic progression reflects a deepening specialization in curriculum, pedagogy, and language education. Additionally, she is certified in vocational qualifications including the NCFE Level 4 Certificate in Internal Quality Assurance (2018), CACHE Level 3 Certificate in Assessing Vocational Achievement (2016), and ADVETI’s Level 5 Composite Award in Assessing Learners (2016). Her multidisciplinary and international educational background supports a broad understanding of teaching and learning, with practical applications in both K-12 and higher education sectors. These credentials not only demonstrate her qualifications but also her commitment to lifelong learning and quality assurance in education.

work Experience

Sumaya has been a Lecturer at ECAE since July 2010, following her role as a Teaching Associate at the same institution (2007–2010). Previously, she served as an Educational Supervisor at the Ministry of Education and Youth from 2002 to 2007, after beginning her career as an English Teacher (1992–2002). She also held an internal leadership role as Acting Head of the Academic Support Department at ECAE (2019–2022), where she oversaw the registration office, student services, and learning support. Her broad teaching experience spans undergraduate and postgraduate programs, including B.Ed., PGDE, and M.Ed. courses. She has consistently demonstrated excellence in bridging theory with classroom application, mentoring pre-service and in-service teachers during practical placements. Her longevity and growth across multiple roles in education showcase her dedication to improving teaching quality, student engagement, and educational leadership in the UAE.

Research Focus

Sumaya Saqr’s research focuses on enhancing educational practices through collaborative action research, curriculum development, and student-teacher partnerships. She is particularly interested in English language education, questioning strategies, and inclusive pedagogy. A notable project she co-investigated—“Fostering Deep Learning and Engagement Through Questioning”—uses Lesson Study methodology to improve classroom dialogue and stimulate higher-order thinking. Her contributions often involve multi-lingual data support, ethical approvals, and dissemination of findings, showcasing her well-rounded research capabilities. Sumaya’s work aligns with national education priorities, particularly the UAE’s vision for inclusive and high-quality education. She frequently collaborates with international and local researchers, ensuring her work remains globally informed and locally relevant. Through her academic and practical engagements, Sumaya actively contributes to the global discourse on effective teaching practices, equity in education, and evidence-based pedagogical strategies.

🏅 Awards and Honors

While specific awards and recognitions are not explicitly listed, Sumaya’s professional milestones signify a highly respected career in academia and educational development. Her appointments to internal leadership roles—such as Acting Head of ECAE’s Academic Support Department—reflect institutional trust in her organizational and academic abilities. She has been repeatedly chosen to collaborate on high-impact research funded by ECAE, including the “Fostering Deep Learning and Engagement Through Questioning” project (AED 13,000 funding), highlighting her role in shaping pedagogical innovation. Her selection to lead practice-based teaching placements and curriculum design modules across PGDE and M.Ed. programs further illustrates her recognition as an expert in her field. Her progression from school teaching to educational supervision and into higher education reveals a career marked by continuous excellence and recognition from both governmental and academic institutions.

🛠️ Skills

Sumaya Saqr brings a diverse and rich skill set to the field of education. Her core competencies include curriculum design, English language pedagogy, lesson planning, academic supervision, and program accreditation. She is proficient in developing and delivering teacher education programs for both pre-service and in-service contexts. Her leadership and organizational skills are evident in her role managing academic support services at ECAE. Sumaya is also skilled in collaborative action research, especially using methodologies like Lesson Study. She is experienced in quality assurance, student assessment, and multilingual documentation. With NCFE and ADVETI certifications, she’s adept at vocational assessment and educational quality assurance. Additionally, her cross-cultural communication skills and bilingual fluency (English/Arabic) support her role in diverse academic settings. Her integrated expertise ensures she not only teaches but also shapes the teaching practices of future educators across the UAE and beyond.

Conclusion

Dr. Sumaya Saqr exemplifies a dedicated educator and researcher whose work not only reflects academic rigor but also demonstrates real-world applicability in improving education systems. Her consistent track record in teacher training, curriculum innovation, and student-centered pedagogy aligns perfectly with the criteria of the Best Researcher Award. With her experience, educational philosophy, and demonstrated impact, she is well-qualified and deserving of recognition through this prestigious award.

Publications to Noted

Title: Investigating the relationship between parental attitudes toward reading, early literacy activities, and reading literacy in Arabic among Emirati children

Authors: Y. Alramamneh, S. Saqr, S. Areepattamannil

Citations: 20

Year: 2023

Title: Emirati general education pre-service teachers’ preparedness for diversity in inclusive classrooms

Authors: S. Saqr, L.J. Tennant

Citations: 16

Year: 2016

Title: Perspectives of Emirati married women in higher education

Authors: S. Saqr, L. Tennant, P. Stringer

Citations: 12

Year: 2014

Title: Married Emirati students pursuing teaching careers from the perspective of their spouses

Authors: L. Tennant, S. Saqr, P. Stringer

Citations: 9

Year: 2014

Title: Challenges and support factors of married Emirati students in teacher education

Authors: P. Stringer, S. Saqr, L. Tennant

Citations: 8

Year: 2015

Title: The joy of reading – Emirati fathers’ insights into shared reading with young children in a multilingual context

Authors: A.M. Dillon, K. Gallagher, S. Saqr, C. Habak, Y. AlRamamneh

Citations: 5

Year: 2024

Title: Motivation and challenges of married Emirati students in teacher education

Authors: L. Tennant, P. Stringer, S. Saqr

Citations: 5

Year: 2013

Title: Perspectives of Emirati women in higher education

Authors: S. Sumaya, L. Tennant, P. Stringer

Citations: 3

Year: 2014

Title: Pre-service teachers’ concerns about the classroom-based internship experience

Authors: F.F. Rashad, P. Fidalgo, L. Menano, S. Saqr

Citations: 2

Year: 2016

Title: The affordances and constraints of supporting father-child shared reading in the multilingual Emirates

Authors: K. Gallagher, A.M. Dillon, C. Habak, S. Saqr, Y. AlRamamneh

Citations: Not listed

Year: 2025