Category: Biography

Education

Dr. Novick holds a Ph.D. in Statistics (2000) and a Master’s in Statistics (1998), both from North Carolina State University, where he graduated with a perfect 4.0 GPA. His academic foundation was built on a Master of Science in Applied Mathematics from Lehigh University (1995), complemented by dual Bachelor’s degrees in Mathematics and Natural Science from Muhlenberg College (1992), earned summa cum laude. During his academic journey, Dr. Novick received numerous honors including the NSF VIGRE Fellowship, Gertrude M. Cox Fellowship, and several outstanding student paper and achievement awards. His early academic work focused on statistical theory, simulation techniques, and probabilistic modeling, laying the groundwork for a career that would integrate academic excellence with applied pharmaceutical science. These credentials underscore his deep understanding of statistical methodologies and their real-world application in complex biomedical research environments.

Work Experience

Dr. Novick has held senior statistical roles across leading pharmaceutical companies. At Takeda (2023–present), he leads global nonclinical and CMC statistical efforts. Prior, he was Executive Director of Biostatistics at Eli Lilly (2023), overseeing Discovery and CMC statistics. At AstraZeneca (2015–2023), he directed U.S. discovery biostatistics and bioinformatics teams, launching high-impact initiatives across R&D. He served as Senior Statistician at Arlenda (2015), providing Bayesian consulting to major firms. At GlaxoSmithKline (2002–2015), he supported target validation, dose-response modeling, and clinical trial design, earning multiple accolades. Earlier positions include roles at Schering-Plough, Becton Dickinson, and academic appointments at NC State University. Across all roles, Dr. Novick has been a catalyst for methodological innovation, workforce development, and data-driven decision-making. He is also a renowned educator and leader in professional forums, shaping statistical practice through mentoring, publishing, and organizing scientific meetings and training sessions.

Awards and Honors🏆

Dr. Novick is a 2022 Fellow of the American Statistical Association (ASA), recognized for his significant contributions to pharmaceutical statistics. He is a three-time recipient of the Stan Altan Best Nonclinical Biostatistics Paper Award (1st place: 2015, 2019; 2nd place: 2021). He earned the Outstanding Manuscript award from AAPS PharmSciTech in 2010. At AstraZeneca, he received the prestigious 3Rs Award and Early Oncology Award in 2021 for innovating dose-response designs that significantly reduced animal use. Additional recognitions include numerous internal awards at AstraZeneca and GlaxoSmithKline for leadership, innovation, training, and statistical excellence. As a graduate student, Dr. Novick received the NSF VIGRE Fellowship, Gertrude M. Cox Fellowship, and the R.L. Anderson Student Paper Award. These accolades highlight a career grounded in scientific rigor, ethical responsibility, and collaborative impact across academic, corporate, and professional communities.

Research Focus

Dr. Novick’s research bridges statistical theory and pharmaceutical application, focusing on preclinical and CMC biostatistics. His core interests include Bayesian inference, assay development, experimental design, dose-response modeling, and drug combination analysis. He is a pioneer in Bayesian methods for analytical similarity and assay validation and has authored foundational work on robust outlier detection and statistical reproducibility in drug discovery. He contributed to industry guidance on the use of p-values and led initiatives on Quality by Design in preclinical assay development. Dr. Novick also mentors statisticians in Bayesian modeling, machine learning, and regulatory science. Through his leadership in ASA-BIOP, he has championed scientific workstreams that yield real-world regulatory and industry tools. His scholarship and consulting underscore the power of statistical thinking to transform pharmaceutical R&D—from experimental rigor to regulatory compliance and ethical decision-making.

Conclusion

Dr. Steven J. Novick exemplifies the ideal candidate for the Research for Best Researcher Award. His prolific research, sustained leadership, strategic impact in biostatistics, and dedication to mentorship and innovation underscore his outstanding contributions to science and industry. He not only meets but significantly exceeds the typical criteria for this prestigious honor.

Publications to Noted

Jones J., Zhang B., Zhang X., Konings P., Hansson P., Backmark A., Serrano A., Künzel U., Novick S. (2025). Quality by Design for Preclinical In Vitro Assay Development. Pharmaceutical Statistics, 24(1).

Novick S., Zhang T. (2025). Strategy for Designing In Vivo Dose–Response Comparison Studies. Pharmaceutical Statistics, 24(1).

Zhang T., Novick S. (2023). A Comparison of Statistical Methods for Animal Oncology Studies. Pharmaceutical Statistics, 23(1).

Novick S., Zhang T. (2021). Mean Comparisons and Power Calculations to Ensure Reproducibility in Preclinical Drug Discovery. Statistics in Medicine, 40(6), 1345–1358.

Miranda E., Roberts J., Novick S., Lapointe J-M., Bruijnzeel-Koomen C., Thijs J.L., Sleeman M.A., May R.D., Hijnen D.J., Strickland I. (2021). Immunohistochemical Characterization of the IL-13:IL-4 Receptor α Axis in the Skin of Adult Patients with Moderate to Severe Atopic Dermatitis and Healthy Controls. Journal of Investigative Dermatology, 141(2), 382–392.

Novick S.J., Christian E., Farmer E., Tejada M. (2020). A Bayesian Statistical Approach to Continuous Qualification of a Bioassay. PDA Journal of Pharmaceutical Science and Technology, 74(5), 499–512.

Sondag P., Zeng L., Yu B., Yang H., Novick S. (2020). Comparisons of Outlier Tests for Potency Bioassays. Pharmaceutical Statistics, 19(3), 230–242.

Zhao W., Vicini P., Novick S., Anderton J., Davies G., D’Angelo G., O’Day T., Yu B., Harper J., Narwal R. (2019). Detecting Bliss Synergy in In Vivo Combination Studies with a Tumor Kinetic Model. Pharmaceutical Statistics, 18(6), 688–699.

Xu Enwei | Digital Education | Best Researcher Award

Published on 11/06/202511/06/2025 by TOT Awards

Assist. Prof. Dr. Xu Enwei | Digital Education | Best Researcher Award

Associate Professor at Xinjiang Normal University, China.

Dr. Xu Enwei is an Associate Professor and Master’s Supervisor at the School of Education Science, Xinjiang Normal University, China. A prominent scholar in the realm of educational technology, he holds a Ph.D. in Education from Xinjiang Normal University and has been honored with the Excellent Doctoral Dissertation Award in the Xinjiang Uygur Autonomous Region. Recognized as a key experimental researcher in Mental Development and Learning Science, he is a member of the elite “Tianchi Talents – Young PhDs” program. His academic pursuits focus on artificial intelligence in education and technology-supported collaborative learning (TSCL). Dr. Xu has extensive teaching and research experience, contributing significantly to the innovation and integration of intelligent technologies in pedagogical practices. With a deep commitment to fostering inclusive, future-ready education, he actively collaborates in multi-disciplinary research and regional academic development initiatives.

Professional profile

Education

- 📍 Xinjiang Normal University, Ürümqi, CN (2019–2023)
- Ph.D. in Education
- 🏅 Provincial & University-Level Excellent Doctoral Dissertation
  📍 Beijing Normal University, Beijing, CN (2014–2016)
- Master’s in Education
- 🏆 First-Class Scholarship
  📍 Beijing Normal University, Beijing, CN (2009–2013)
- Bachelor’s in Education
- 🌟 Excellent Undergraduate Graduate
- 📜 Excellent Undergraduate Thesis

Dr. Xu Enwei’s educational journey reflects a consistent record of excellence at top Chinese institutions, marked by numerous distinctions. His advanced studies integrated educational theory, learning psychology, and technological innovation, which laid a strong foundation for his future research in AI-supported pedagogy and collaborative learning.

Work Experience

📌 Associate Professor, Xinjiang Normal University (2024–Present)
📌 Lecturer, Xinjiang Normal University (2023–2024)
Dr. Xu began his academic career at Xinjiang Normal University, where he steadily rose from Lecturer to Associate Professor. As a full-time faculty member in the School of Education Science, he supervises postgraduate research, lectures on educational innovation, and develops collaborative learning modules supported by AI. His professional efforts emphasize the application of emerging technologies to create interactive and inclusive learning environments. With an active role in faculty development and curriculum innovation, he is deeply involved in shaping educational policy and digital transformation in western China. He also serves as a principal investigator in research projects on mental development and learning science, mentoring early-career educators and fostering partnerships with regional institutions.

Research Focus

Dr. Xu Enwei’s primary research interests lie in the integration of artificial intelligence in education 🤖 and technology-supported collaborative learning (TSCL) 💻. His work explores how intelligent systems can personalize and optimize learning pathways, encourage active participation, and improve student motivation and retention. As a key researcher in mental development and learning sciences 🧠, he examines how cognitive processes are enhanced through digital environments and AI tools. Dr. Xu also investigates the role of AI in assessment, feedback mechanisms, and teacher support systems. His interdisciplinary approach bridges psychology, pedagogy, and data science to inform educational strategies that address the needs of diverse learners in Xinjiang and beyond. Through publications, project leadership, and student mentorship, he is advancing the frontiers of AI-augmented learning environments, aiming to shape inclusive, efficient, and sustainable educational systems.

Conclusion

Dr. Xu Enwei stands out as a highly deserving nominee for the Best Researcher Award. His advanced work at the intersection of AI and education, combined with rapid academic progression, key regional awards, and strong supervisory roles, reflect his leadership and impact in the research community. With slight strategic enhancements in internationalization and broader dissemination of his work, he is poised to become a leading figure in educational innovation and research.

Publications to Noted

The relationship between preschool inclusive teachers’ perception of traditional culture and digital literacy: The chain mediating role of technology acceptance and job insecurity
Authors: Xuezhen Feng; Wenjun Guan; Enwei Xu
Year: 2025

Research on the mechanism of the influence of family socioeconomic status on the Cardinal principle of young children
Authors: Huanhuan Li; Bingyu Duan; Mengzhen Luo; Mingci Chen; Enwei Xu
Year: 2025

A meta-analysis of the effectiveness of programming teaching in promoting K-12 students’ computational thinking
Authors: Enwei Xu; Wei Wang; Qingxia Wang
Year: 2023

The effectiveness of collaborative problem solving in promoting students’ critical thinking: A meta-analysis based on empirical literature
Authors: Enwei Xu; Wei Wang; Qingxia Wang
Year: 2023

Cui Yongpeng | Electrochemical | Best Researcher Award

Published on 10/06/202510/06/2025 by TOT Awards

Prof. Cui Yongpeng | Electrochemical | Best Researcher Award

Professor at China University of Petroleum (Beijing), China

Dr. Yongpeng Cui is an Associate Professor at the School of Materials Science and Engineering, China University of Petroleum (UPC), Qingdao, and a researcher at the State Key Laboratory of Heavy Oil Processing. Dr. Cui has demonstrated exceptional capabilities in materials science and electrochemical energy storage. With a strong academic background and prolific research contributions, he has established himself as an expert in developing advanced electrode materials for lithium, sodium, and potassium ion batteries, as well as hybrid capacitors and electrocatalysts. His academic journey and scientific impact have been acknowledged with several provincial and national-level awards. Dr. Cui’s work reflects a fine balance of innovation and application, particularly in the development of two-dimensional materials such as MXene and TMDs. He is actively involved in numerous national-level projects and has successfully translated research into industrial applications, further solidifying his role in China’s next-generation energy materials research.

professional profile

Education

Dr. Yongpeng Cui holds a Ph.D. in Materials Science from the Ocean University of China (2015–2020), where his research focused on the design and preparation of porous carbon materials using salt crystal templates and the synthesis of electrode materials for various energy storage systems, under the guidance of Professors Wei Liu and Huanlei Wang. Prior to his doctoral studies, he earned a Bachelor’s degree in Materials Engineering from Qingdao University of Science and Technology (2011–2015), working on zinc oxide nanowires and their applications in solar cells under Prof. Lifeng Dong. Throughout his academic career, Dr. Cui has been immersed in a blend of theoretical learning and hands-on experimentation. His educational foundation has been pivotal in shaping his ability to conduct high-impact research in emerging areas of energy storage, nanomaterials, and electrocatalysis. The combination of a solid theoretical framework and applied skills has positioned him at the forefront of the materials science field.

Work Experience

Since November 2021, Dr. Yongpeng Cui has served as an Associate Professor at the China University of Petroleum, Qingdao, where he also completed a two-year postdoctoral fellowship (2020–2022). His academic journey began with a focus on materials design and advanced carbon-based systems. As a postdoctoral researcher, he worked closely with Professors Qingzhong Xue and Xing Wei, contributing to pioneering work on potassium-ion batteries, hybrid capacitors, and two-dimensional materials. During his tenure, he has not only mentored students but also led key national and provincial research projects. Dr. Cui’s professional timeline demonstrates a consistent dedication to scientific innovation, with direct contributions to fundamental discoveries and practical implementations. His involvement in technology transfer and commercialization efforts, including a successful hard carbon material project, highlights his commitment to bridging the gap between laboratory discoveries and real-world energy solutions. His experience makes him a dynamic force in the electrochemical energy storage research community.

🏆 Awards and Honors

Dr. Yongpeng Cui has received numerous accolades recognizing his scientific excellence and academic contributions. Notably, he was awarded the Second Prize of Science and Technology Award by the China Petroleum and Chemical Industry Federation in 2022. He is also the sole recipient from the materials discipline of the Shandong Postdoctoral Innovative Talent Support Program (2022). His doctoral work earned the Excellent Doctoral Dissertation of Shandong Province award in 2021 and a Third Prize for Graduate Student Achievements in 2020. He previously won a National Doctoral Scholarship (2018) and the Outstanding Graduate Student Award from the Ocean University of China. Dr. Cui’s growing list of honors reflects both the depth and innovation of his work. These awards validate not only his technical achievements but also his potential for continued leadership in the field of advanced materials and energy research. His recognition by academic and governmental bodies underscores his influence in China’s scientific landscape.

Research Focus

Dr. Yongpeng Cui’s research centers on the development of advanced electrode materials for high-performance electrochemical energy storage systems, including lithium-, sodium-, and potassium-ion batteries, hybrid capacitors, and supercapacitors. A key component of his work involves the design of multifunctional electrocatalysts for next-generation K-S and K-Se batteries that offer high energy density and long cycle life. He is particularly known for pioneering two-dimensional materials like MXene and TMDs, using step-by-step organic molecule intercalation techniques. His work integrates carbon-based anodes, MoS₂, FeS₂, and novel hybrid systems for enhanced performance. Dr. Cui also specializes in salt-crystal templated synthesis, which enables precision pore-structure control in porous carbon materials. Through a combination of structural design, surface chemistry regulation, and functionalization, he aims to solve core limitations in existing energy storage systems. His research bridges materials innovation and real-world energy applications, contributing significantly to the field’s advancement and the energy sustainability agenda.

🧠 Skills

Dr. Yongpeng Cui possesses a broad and deep skill set in materials science, nanotechnology, and electrochemical engineering. His core competencies include the design and synthesis of two-dimensional materials (MXenes, TMDs), and porous carbon using salt crystal-templating techniques. He is proficient in battery assembly and electrochemical testing (e.g., CV, EIS, GCD), as well as structural characterization techniques such as SEM, TEM, XRD, Raman, and BET analysis. Dr. Cui is skilled in project management, having led multiple national-level and provincial research projects. He also brings hands-on experience in technology transfer, with successful commercialization of sodium storage materials. His research is enhanced by his ability to apply scientific computing tools for data analysis and simulation. Equally adept at grant writing, publication preparation, and academic mentoring, Dr. Cui’s diverse technical and soft skills make him a multifaceted researcher and an invaluable asset in collaborative and interdisciplinary scientific environments.

Conclusion

Dr. Yongpeng Cui exemplifies a top-tier, high-impact researcher in life sciences and materials engineering, with clear alignment to the Research for Best Researcher Award. His innovations in energy storage, high citation potential, consistent funding success, and award recognition highlight his commitment to scientific advancement. With further emphasis on internationalization and broader societal engagement, he stands as a model candidate poised to shape the future of sustainable energy technologies.

Publications to Noted

📄 “Modulating dual-active sites within one ruthenium nanocluster by engineering electronic metal-support interactions for efficient hydrogen electro-oxidation”

Journal: Chemical Engineering Journal

DOI: 10.1016/j.cej.2024.155107

Published: October 2024

Authors: Weiyue Luo, Xiaoning Wang, Lianming Zhao, Yanfu Tong, Yuchao Zhen, Yongpeng Cui, Pengyun Liu, Tonghui Cai, Zifeng Yan, Qingzhong Xue, Saad G. Mohamed, Xuejin Li, Xun Yuan, Wei Xing (14 authors total)

Citations: 2

📄 “Mitigating the Kinetic Hysteresis of Co‑free Ni‑rich Cathodes via Gradient Penetration of Nonmagnetic Silicon”

Journal: Angewandte Chemie International Edition

DOI: 10.1002/anie.202409764

Published: September/October 2024 (published online Sept 2, formally Oct 25, 2024)

Authors: Yijun Song, Yongpeng Cui, Bo Wang, Lina Ge, Li Zhou, Zhijian Qiu, Zhipeng Xie, Debin Kong, Xiaofang Li, Jianqiang Zhang, Lei Zhu, Pengyun Liu, Xuejin Li, Zifeng Yan, Qingzhong Xue, Yongfu Tang, Wei Xing (17 authors total) Citations: 6

📄 “Defect‑engineered TiNO catalyst targeted to activate rate-determining step for highly efficient K–SeS2 batteries”

Journal: Energy Storage Materials

DOI: 10.1016/j.ensm.2024.103669

Published: September 2024

Authors: Li Zhou, Yongpeng Cui, Yanfu Tong, Haoyu Hu, Bingyu Li, Shihao Liang, Xuejin Li, Debin Kong, Zifeng Yan, Qingzhong Xue, Wei Xing (12 authors total)

Citations: 1

📄 “Rare‑earth ions induced pre‑excitation of intercalation‑conversion anode to achieve fast potassium‑ion storage”

Journal: Energy Storage Materials

DOI: 10.1016/j.ensm.2024.103425

Published: May 2024

Authors: Lina Ge, Wenting Feng, Li Zhou, (plus additional co-authors including Y. Cui, P. Liu, X. Li, D. Kong; total count not specified but likely similar ~8–12 authors) .

Liquid‐State Templates for Constructing B, N, Co‐Doping Porous Carbons with a Boosting of Potassium‐Ion Storage Performance

Advanced Energy Materials

2021-01 | Journal article

Contributors: Wenting Feng; Nianyun Feng; wei Liu; Yongpeng Cui; Chen Chen; Tiantian Dong; Shuang Liu; Weiqiao Deng; Huanlei Wang; Yongcheng Jin

Abduljabbar S. Ba Mahel | Biomedical | Best Researcher Award

Published on 10/06/202510/06/2025 by TOT Awards

Dr. Abduljabbar S. Ba Mahel | Biomedical | Best Researcher Award

PhD Student at University of Electronic Science and Technology of China, China

Abduljabbar Salem Saeed Seror Ba Mahel is a dedicated researcher and Ph.D. candidate in Biomedical Engineering at the University of Electronic Science and Technology of China, Chengdu. His academic and research journey is driven by a passion for integrating artificial intelligence with healthcare, particularly in cardiac signal processing and medical image analysis. He has published extensively in top-tier journals and conferences, contributing innovative deep learning models for disease diagnosis, including arrhythmia detection, wound monitoring, and cancer classification. Abduljabbar’s research leverages convolutional neural networks (CNNs), recurrent units (GRUs), and transfer learning to build explainable, efficient AI tools for clinical decision support. His collaborative work spans international teams and multidisciplinary domains, underscoring his adaptability and leadership in emerging biomedical technologies. Through his work, he aims to bridge gaps in global health technology and enhance the accessibility and accuracy of diagnostic systems.

professional profile

Education

Abduljabbar Ba Mahel’s educational path reflects his commitment to academic excellence and innovation. He is currently pursuing a Ph.D. in Biomedical Engineering at the School of Life Science and Technology, University of Electronic Science and Technology of China, focusing on medical AI applications. He holds a Master of Science in Biomedical Engineering from Petersburg State Electrotechnical University, Russia, where he gained hands-on experience in neural network design for cardiac diagnostics and began contributing to scholarly research. He also completed his Bachelor of Science in Electronic Engineering at the same institution, grounding him in core electronics, signal processing, and computational tools. His interdisciplinary academic training across engineering and medical informatics provides a robust foundation for his work at the intersection of machine learning, healthcare, and signal analysis. This academic trajectory has equipped him with the skills to tackle complex biomedical challenges using advanced algorithms and cutting-edge technologies.

Work Experience

Abduljabbar Ba Mahel has cultivated a strong research-oriented career across both academic and industrial domains. As a doctoral researcher in China, he is actively engaged in multidisciplinary projects involving deep learning for ECG analysis, chronic wound monitoring, and breast cancer detection. His early research, initiated during his Master’s and Bachelor’s studies in Russia, led to contributions at IEEE conferences and collaborations with global researchers. He has also co-developed models that combine CNNs, GRUs, and attention mechanisms, many of which are now published in Frontiers in Physiology, IEEE Access, and SPIE Proceedings. With experience using platforms like TensorFlow, Keras, and PyTorch, he brings computational efficiency and clinical relevance to his work. Abduljabbar has collaborated with international teams from UAE, Russia, and Saudi Arabia, broadening his expertise in medical imaging, healthcare diagnostics, and smart health systems. He continues to push the boundaries of biomedical AI research for global health betterment.

Research Focus

Abduljabbar Ba Mahel’s research centers on the intersection of deep learning and biomedical engineering, with an emphasis on healthcare applications. His primary focus lies in developing robust AI models for ECG-based arrhythmia detection, chronic wound monitoring, and breast cancer diagnosis through medical image segmentation and signal analysis. He is deeply interested in leveraging transfer learning, domain adaptation, and attention-based architectures to improve diagnostic accuracy in real-world, imbalanced datasets. His work frequently combines CNNs, GRUs, and hybrid architectures for multi-scale feature extraction and classification. Additionally, he explores explainable AI (XAI) to enhance transparency in clinical decision-making. His contributions reflect a commitment to transforming traditional diagnostics into intelligent, automated systems that can be deployed in both high-tech hospitals and resource-limited settings. His collaborative projects span across China, Russia, and the Middle East, contributing to a globally relevant, scalable healthcare innovation portfolio.

🧠 Skills

Abduljabbar Ba Mahel possesses a rich and diverse skill set essential for modern biomedical research and AI model development. He is proficient in Python, MATLAB, R, and C++, and frequently uses frameworks such as TensorFlow, Keras, and PyTorch to implement and optimize deep learning algorithms. For scientific workflows, he is adept in Docker, Git, Jupyter, and LaTeX, enabling reproducibility and collaboration. In the medical imaging domain, he works with tools like DICOM, ITK-SNAP, and 3D Slicer for preprocessing and visualization of radiological data. He also employs statistical tools like SPSS and advanced functions in MATLAB for signal processing and hypothesis testing. His domain-specific expertise spans ECG signal classification, image segmentation, transfer learning, and synthetic data generation. With both technical and analytical strengths, Abduljabbar bridges the gap between engineering innovation and clinical application, creating end-to-end solutions for smart diagnostics and digital health systems.

Conclusion

Abduljabbar Salem Ba Mahel is a highly promising candidate for the Best Researcher Award. His body of work stands out for its depth in artificial intelligence applications in biomedical engineering and its relevance to global health challenges. With a strategic focus on integrating deep learning with medical diagnostics, he contributes to advancing digital healthcare solutions. Given his technical mastery, scholarly output, and potential for leadership in the field, he is well-suited for recognition, while also benefiting from future growth in translational impact and academic service. He embodies the spirit of innovation, making him a worthy nominee for this prestigious accolade.

Publications to Noted

Title: Recognition of life-threatening arrhythmias by ECG scalograms
Authors: A.P. Nemirko, A.S. Ba Mahel, L.A. Manilo
Citations: 8
Year: 2024

Title: Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds
Authors: M. Alabdulhafith, A.S. Ba Mahel, N. Abdel Samee, N.F. Mahmoud, R. Talaat, M.S. Muthanna, T.M. Nassef
Citations: 6
Year: 2024

Title: Arrhythmia classification using AlexNet model based on orthogonal leads and different time segments
Authors: A.S.B. Mahel, N. Harold, H. Solieman
Citations: 6
Year: 2022

Title: Classification of cardiac cycles using a convolutional neural network
Authors: A.S.B. Mahel, A.N. Kalinichenko
Citations: 6
Year: 2022

Title: Advanced integration of 2DCNN-GRU model for accurate identification of shockable life-threatening cardiac arrhythmias: a deep learning approach
Authors: A.S. Ba Mahel, S. Cao, K. Zhang, S. Chelloug, R. Alnashwan, M.S. Muthanna
Citations: 5
Year: 2024

Title: Classification of arrhythmia using parallel channels and different features
Authors: A.S.B. Mahel, A.N. Kalinichenko
Citations: 5
Year: 2024

Title: The role of synthetic data in mitigating imbalance in deep-learning-based arrhythmia classification: a comparative study
Authors: A.S.B. Mahel, F.M.G. Alotaibi, N. Rao
Citations: 1
Year: 2024

Title: Распознавание опасных аритмий по скалограммам ЭКГ
Authors: А.П. Немирко, А.С. Ба Махел, Л.А. Манило
Citations: 1
Year: 2024

Title: Optimizing Monkeypox Lesions Detection with a Lightweight Hybrid Model
Authors: M.S.A.M. Al-Gaashani, R. Alkanhel, D.S.M. Hassan, A.S.B. Mahel, A. Aziz, M.M. Khayyat, A. Muthanna
Citations: 0 (recent)
Year: 2025

Title: A multi-scale deep learning framework combining MobileViT-ECA and LSTM for accurate ECG analysis
Authors: A.S.B. Mahel, M.S.A.M. Al-Gaashani, R.I. Alkanhel, D.S.M. Hassan, A. Muthanna, A. Aziz
Year: 2025

Elsadig Musa Ahmed | Technology Acceptance | Best Researcher Award

Published on 09/06/202509/06/2025 by TOT Awards

Prof. Dr. Elsadig Musa Ahmed | Technology Acceptance | Best Researcher Award

Professor at Multimedia University, Malaysia.

Prof. Dr. Elsadig Musa Ahmed Mohammed is a globally recognized scholar in Development Economics, currently serving as Professor at the Faculty of Business, Multimedia University, Malaysia. Born in Elrank, Sudan, in 1965, he has over two decades of academic and research experience. His name proudly features on Stanford University’s 2024 list of the World’s Top 2% Scientists, and his research appears in leading 1% and 10% global journals. He is renowned for his work on green productivity, knowledge-based economies, and economic-technology interfaces. A mentor, educator, and thought leader, he has supervised numerous doctoral theses and participated in collaborative projects across Malaysia, Sudan, and Saudi Arabia. Prof. Ahmed also actively contributes to university governance, curriculum development, and research policy evaluation.

professional profile

Education

Prof. Ahmed earned his Ph.D. in Development Economics from Universiti Putra Malaysia in 2004, with a thesis titled “Impact of Air and Water Pollutant Emissions on Malaysia’s Manufacturing Sector Productivity Growth.” He completed his MSc, also from Universiti Putra Malaysia, in 1998, focusing on “Productivity and Performance of Malaysian Food Manufacturing Industry.” His academic journey began with a BSc in Agricultural Economics from Al-Azhar University, Cairo, Egypt, in 1992. He completed his High School Certificate in Sudan, completing 12 years of pre-university education. This extensive academic foundation laid the groundwork for his special focus on economic development, sustainability, and productivity, enabling him to teach and guide postgraduate and undergraduate students for more than two decades.

Work Experience

With over 20 years of teaching and research experience, Prof. Ahmed began his academic career at Multimedia University in 2004. Rising through the ranks from Lecturer to Professor, he has taught Economics and Business subjects at both undergraduate and postgraduate levels. His courses span topics such as International Economics, Macroeconomics, and the Knowledge Economy. As a doctoral supervisor, he has guided many Ph.D., DBA, and MBA candidates. His responsibilities also include internal examination, curriculum development, and administration. Prior to academia, he worked as a Research Assistant at Universiti Putra Malaysia and earlier as a Storekeeper at Kenana Sugar Company, Sudan. He has held significant leadership roles such as Coordinator of Postgraduate Programs and Chairperson of the Center for Globalization and Sustainability Research.

Research Focus

Prof. Ahmed’s research lies at the intersection of development economics and environmental sustainability. His work explores productivity analysis, technology transfer, digital and knowledge-based economies, and the bioeconomy. He also investigates the dynamics of green productivity and the relationship between economic growth and environmental performance. Recently, his work has expanded into tourism economics, microfinance, and the digital economy’s role in national transformation strategies such as Saudi Vision 2030. His interdisciplinary approach blends economics with technology management, contributing valuable insights to academia, policymakers, and international development bodies. His supervision of postdoctoral and doctoral scholars further amplifies his research influence across Africa, Asia, and the Middle East.

Conclusion

Dr. Elsadig Musa Ahmed Mohammed stands out as a highly suitable candidate for the Research for Best Researcher Award. His robust portfolio—marked by scholarly excellence, global citation rankings, research innovation, and educational impact—meets and exceeds the award’s benchmarks. His strategic contributions to sustainable development, digital transformation, and economic policy-making are not only theoretically significant but have practical implications for shaping resilient economies. With a well-rounded academic footprint and leadership in multiple capacities, Dr. Elsadig deserves strong endorsement for this prestigious recognition.

Publications to Noted

Are the FDI inflow spillover effects on Malaysia’s economic growth input driven?
Author(s): EM Ahmed
Citations: 201
Year: 2012

The impact of CO₂ on economic growth in ASEAN 8
Author(s): H Borhan, EM Ahmed, M Hitam
Citations: 152
Year: 2012

Factors influencing Sudanese microfinance intention to adopt mobile banking
Author(s): A Ammar, EM Ahmed
Citations: 123
Year: 2016

The impact of ICT on East Asian economic growth: panel estimation approach
Author(s): EM Ahmed, R Ridzuan
Citations: 123
Year: 2013

Green TFP intensity impact on sustainable East Asian productivity growth
Author(s): EM Ahmed
Citations: 109
Year: 2012

ICT and human capital spillover effects in achieving sustainable East Asian knowledge-based economies
Author(s): EM Ahmed
Citations: 93
Year: 2017

Polyhydroxybutyrate and its copolymer with polyhydroxyvalerate as biomaterials: influence on progression of stem cell cycle
Author(s): T Ahmed, H Marçal, M Lawless, NS Wanandy, A Chiu, LJR Foster
Citations: 91
Year: 2010

Impact of the relationship between transformational and traditional leadership styles on Iran’s automobile industry job satisfaction
Author(s): A Yaghoubipoor, O Puay Tee, E Musa Ahmed
Citations: 81
Year: 2013

Factors influencing Malaysian small and medium enterprises adoption of electronic government procurement
Author(s): KK Soong, EM Ahmed, KS Tan
Citations: 80
Year: 2020

Does tourism contribute significantly to the Malaysian economy? Multiplier analysis using IO technique
Author(s): MNH Mazumder, EM Ahmed, AQ Al-Amin
Citations: 80
Year: 2009

Mohammad Hossein Morowvat | Life Sciences | Best Researcher Award

Published on 06/06/202510/06/2025 by TOT Awards

Assoc. Prof. Dr. Mohammad Hossein Morowvat | Life Sciences | Best Researcher Award

Research and Technology Deputy at Shiraz University of Medical Sciences, Iran.

Dr. Mohammad Hossein Morowvat, in Neyriz, Fars Province, Iran, is a distinguished Iranian pharmaceutical biotechnologist. Currently serving as an Associate Professor at the Department of Pharmaceutical Biotechnology, School of Pharmacy, Shiraz University of Medical Sciences, he has made significant contributions to the fields of microalgal biotechnology, recombinant protein production, and metabolic engineering. Fluent in Persian, English, German, and French, Dr. Morowvat is recognized for his interdisciplinary approach, integrating biotechnology with environmental sustainability. His work has been instrumental in advancing therapeutic and cosmetic bioproducts, and he actively participates in various scientific committees and editorial boards.

professional profile

Education

Ph.D. in Pharmaceutical Biotechnology (2008–2014)
Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Thesis: Study of the effects of ackA and pta inhibition by antisense RNA on acetate excretion and recombinant beta interferon expression in Escherichia coli.
Pharm.D. in Pharmaceutical Sciences (2001–2008)
Shiraz University of Medical Sciences, Shiraz, Iran.
Thesis: PCR amplification of 18S rRNA, Single Cell Protein production, and fatty acid evaluation of some naturally isolated microalgae.

Work Experience

Dr. Morowvat has held various roles in both academic and industrial settings:

Academic Positions:
- Associate Professor, Department of Pharmaceutical Biotechnology, Shiraz University of Medical Sciences (2014–Present).
Industrial Roles:
- Technical Assistant at Sina Darou Pharmaceutical Company.
- Visiting Researcher at CinnaGen and Zist Darou Danesh Pharmaceutical Biotechnology Companies.
- Novel Technologies Advisor at Shafa Pharmed Pharmaceutical Biotechnology Company.
- Scientific Advisor at Iranian Green Future (Algomed®) Pharmaceutical Company.

Research Focus

Dr. Morowvat’s research encompasses:

Metabolic and Bioprocess Engineering of Escherichia coli.
Systems and Synthetic Biology.
Microalgal Biotechnology for bioactive compound extraction.
Pharmaceutical Biotechnology, focusing on monoclonal antibodies and recombinant proteins.
Development of cosmeceuticals and biocosmetics from microalgal extracts.

🏆 Awards and Honors

Dr. Morowvat’s excellence has been recognized through several prestigious awards:

Best Elite Researcher, 4th Congress of Iran’s National Elites (2010).
Best Researcher Student, 15th Razi Research Festival on Medical Sciences (2010).
Best Researcher Student, Shahid Beheshti University of Medical Sciences (2008).
Best Poster Presentation, 11th Seminar of Iranian Pharmacy Students (2005).

Conclusion

Dr. Mohammad Hossein Morowvat exemplifies the ideal profile of a “Best Researcher Award” recipient, with a demonstrated commitment to scientific innovation, education, and interdisciplinary collaboration. His contributions to biotechnology and pharmacy education are noteworthy and have had a measurable impact both in academia and the pharmaceutical industry. While there are opportunities for further global engagement and innovation visibility, his current achievements make him a highly suitable and deserving candidate for the award.

Publications to Noted

1. Stability and Functional Consequences of Disulfide Bond Engineering in Aspergillus flavus Uricase

Authors: Rahbar M.R., Nezafat N., Morowvat M.H., Hajizade M.S., Ghasemi Y.
Journal: Scientific Reports
Year: 2025

2. Microalgae-Based Sunscreens as Green and Sustainable Cosmetic Products (Review)

Authors: Najafi A., Heidary M., Martinez R.M., Baby A.R., Morowvat M.H.
Year: 2025
Citations: 1

3. Green Biosynthesized Selenium Nanoparticles Using Whole Cell and Cell Lysate of Spirulina platensis: Characterizations and In Vitro Wound Healing Studies

Authors: Sadeghi M.M., Alipour S., Morowvat M.H., Das S.S., Dehshahri A.
Journal: Bionanoscience
Year: 2025

4. Emerging Methods in the Identification of Bacterial Respiratory Tract Pathogens (Review)

Authors: Kiaghobadi F., Dehshahri A., Ghasemi Y., Morowvat M.H.
Year: 2025
Citations: 1

5. Assessment of Exoelectrogenic Potential of Microbial Consortia of Sewage Sludge for Bioelectricity Generation

Authors: Mirza S.S., Abbas A.S., Mansoor D., Ur-Rehman H., Fatima A.
Journal: International Journal of Environmental Science and Technology
Year: 2025

6. Nutritional Health Connection of Algae and its Pharmaceutical Value as Anticancer and Antioxidant Constituents of Drugs (Review)

Authors: Mirza S.S., Akbar S., Ijaz M.U., Ishaque A., Fatima K.
Year: 2025
Citations: 1

7. Potential Glycerol Production Inducers in Saccharomyces cerevisiae Identified by In Silico Approaches

Authors: Pakrouh Z., Ranjbar S., Ghasemi Y., Morowvat M.H., Negahdaripour M.
Journal: Food Biotechnology
Year: 2025

8. Structural Insight into Wild Type of Arginine Deiminase Protein and its Three Mutated Versions in Complex with Arginine Molecule: A Computational Approach

Authors: Abdollahi S., Eslami M., Morowvat M.H., Ghasemi Y.
Journal: Current Proteomics
Year: 2025

9. Studying the Effect of Magnetic Fields on Biological Activity of Phycocyanin Extracted from Desmonostoc alborzicum

Authors: Saraei Z.P., Nowruzi B., Morowvat M.H.
Journal: Microbe Netherlands
Year: 2024

10. Optimization of Spore Production in Bacillus coagulans Using Response Surface Methodology Approach

Authors: Mirmajidi S.H., Irajie C., Savardashtaki A., Morowvat M.H., Ghasemi Y.
Journal: Applied Biochemistry and Biotechnology
Year: 2024

Ying Zhang | Decision Sciences | Best Researcher Award

Published on 06/06/202506/06/2025 by TOT Awards

Prof. Ying Zhang | Decision Sciences
| Best Researcher Award

Researcher at Yunnan University of Finance and Economics, China.

Professor Ying Zhang, born in 1980 (Bai nationality, Australian PR), is a tenured professor at Yunnan University of Finance & Economics since 2019. Her expertise spans International Human Resource Management (IHRM), Organizational Behavior (OB), cultural intelligence, expatriation, and management science. With over 30 peer-reviewed papers—14 in JCR Q1 and 5 in Q2 journals—and seven authored books, her cumulative impact factor exceeds 280. She has led multiple national and international research projects and received 12 prestigious awards. Renowned for mentoring postgraduate students from minority backgrounds in mountainous regions, she guided SSCI-published research and earned China’s First Prize for National Master Thesis Instruction, highlighting her impact in both research excellence and inclusive education.

professional profile

Scopus

Education

Professor Ying Zhang earned her Ph.D. in Management from Charles Sturt University (CSU), Australia, in 2014, with a focus on international management and human resource development. She holds a Master of Education from the University of Melbourne (2004), where she specialized in cross-cultural and curriculum studies. Her undergraduate studies were completed at Yunnan University (1998–2002), majoring in Foreign Languages, which laid the foundation for her bilingual teaching and international orientation. Her academic trajectory reflects a strong blend of management, education, and cultural fluency—qualities that fuel her interdisciplinary research and global collaborations. Her diverse academic background empowers her to bridge Western and Eastern educational philosophies and manage research projects with international relevance and impact.

Work Experience

Since 2015, Professor Ying Zhang has served as a professor at the International Business School, Yunnan University of Finance & Economics, a CSU partner institution. She teaches across undergraduate to doctoral levels, delivering courses in English and bilingual formats, such as HRM, Strategic Marketing, Global Business, and Cross-cultural Management. She supervises master’s and Ph.D. students in management science, engineering, and international business. Her practical experience includes leading international collaborations, including three Sino-Australian projects. She has also been actively involved in academic research, project management, and community outreach. Her dual role as a scholar and mentor demonstrates a well-rounded professional commitment to teaching, research, and inclusive academic development in diverse regions.

Research Focus

Professor Ying Zhang’s research concentrates on International Human Resource Management (IHRM), Organizational Behavior (OB), cultural intelligence, and expatriation management. Her work critically examines how culture influences management practices, employee behavior, and global business operations. She explores the dynamics of expatriate adaptation, leadership development in multicultural contexts, and organizational strategies for global talent retention. With a focus on evidence-based analysis and cross-cultural applicability, she integrates qualitative and quantitative methodologies to drive innovation in management science. Her projects often intersect with real-world policy, addressing economic development in remote and minority communities. Her research not only advances theoretical frameworks but also provides practical models for effective intercultural engagement in today’s globalized business environment.

Conclusion

Ying Zhang is highly suitable for the Research for Best Researcher Award. Her academic profile, research leadership, international collaborations, and exceptional teaching contributions collectively make her a top-tier candidate. Minor advancements in global visibility and applied impact would further elevate her candidacy, but she already demonstrates an outstanding record worthy of high recognition.

Publications to Noted

📄 An investigation of the impact of intellectual capital on entrepreneurial performance
Year: 2024 | 🔍 Journal of International Management (JCR Q1, IF=6.200, ABDC-A) | 📚

📄 Knowledge management of MNCs in the post-COVID Era: The role of cultural intelligence and knowledge-oriented leadership
Year: 2024 | 🔍 Journal of Knowledge Management (JCR Q1, IF=9.961, ABDC-A) | 📚

📄 Team Psychological Resource as A Critical Enabler for Innovation and Knowledge Creation
Year: 2023 | 🔍 Journal of Industrial Integration and Management (ESCI Q1, IF=9.000) | 📚

📄 Modelling the Influence of Individual Differences on Knowledge Hiding
Year: 2022 | 🔍 Journal of Knowledge Management (JCR Q1, IF=9.961, ABDC-A) | 📚

📄 Exploring the longitudinal effects of emotional and cultural intelligence on knowledge management processes
Year: 2022 | 🔍 Asia Pacific Journal of Management (JCR Q2, IF=6.721, ABS***, ABDC-A) | 📚

Md. Masum Sarker | Plasma physics | Young Researcher Award

Published on 05/06/202505/06/2025 by TOT Awards

Md. Masum Sarker | Plasma physics | Young Researcher Award

Lecturer at Noakhali Science and Technology University, Bangladesh

Mr. Md. Masum Sarker is a passionate and dedicated academician currently serving as a Lecturer in the Department of General Educational Development at Daffodil International University, Bangladesh. With a solid foundation in Physics and specialization in Nuclear Power Engineering and Thermal Physics, he bridges the domains of theoretical research and applied science. His scholarly path began at Jahangirnagar University and took a global turn with his M.Sc. in Russia at the prestigious National Research Nuclear University MEPhI. Masum has contributed to international journals, focusing on plasma physics and space sciences. He’s also been actively involved in educational practice and nuclear research. His approach integrates academic rigor, innovative pedagogy, and futuristic scientific vision to inspire the next generation of learners.

professional profile

Education

Mr. Masum Sarker holds two master’s degrees—one in Nuclear Power Engineering and Thermal Physics from National Research Nuclear University MEPhI, Russia (2020), obtained through a fully-funded government scholarship, and another in Physics from Jahangirnagar University (2017). He completed his Bachelor’s in Physics from the same university in 2016. These academic pursuits have shaped his interdisciplinary focus, allowing him to master both theoretical and applied physics. His international training has equipped him with unique perspectives on nuclear systems, thermodynamics, and advanced diagnostics in reactor technologies. His education, both national and international, emphasizes a balance between foundational sciences and applied research in nuclear energy and space plasma physics.

Work Experience

Mr. Sarker began his full-time academic career as a Lecturer at Daffodil International University in September 2022, where he teaches and mentors students in the General Educational Development department. Before this, he undertook a pivotal educational practice in the Rosatom Corporation Resource Center in Volgodonsk, Russia (2020), under NRNU MEPhI, where he engaged in research related to the VVER-1200 nuclear reactor. This hands-on exposure enriched his expertise in nuclear safety, control systems, and diagnostics. His academic experience is marked by commitment, research integration, and learner-centered approaches in both classroom instruction and lab supervision.

Research Focus

Mr. Sarker’s research primarily revolves around space plasma physics, magnetized electron-positron-ion plasma, and electrostatic wave propagation. He is particularly interested in the solitary potential dynamics, bi-kappa distributed electrons, and non-linear wave theory in complex plasma environments. His studies contribute to better understanding astrophysical phenomena and enhance simulation models in theoretical physics. During his time in Russia, he also worked on monitoring and diagnostic systems for next-generation VVER nuclear reactors, linking his theoretical expertise with applied nuclear engineering. His future research aims to explore the integration of nuclear diagnostics and plasma behavior for sustainable energy systems.

Conclusion

Masum Sarker is a strong candidate for the Young Researcher Award, particularly in the fields of theoretical physics and nuclear energy education. His international academic training, early research output, and engagement in cutting-edge scientific areas align well with the objectives of this award. However, bolstering his recent research productivity, enhancing his professional affiliations, and showcasing broader impact through mentorship or collaboration would make his candidacy even more compelling.

Publications to Noted

Title: Oblique Propagation of Electrostatic Waves in a Magnetized Electron-Positron-Ion Plasma in the Presence of Heavy Particles
Authors: M. Sarker, M.R. Hossen, M.G. Shah, B. Hosen, A.A. Mamun
Journal: Zeitschrift für Naturforschung A, 73(6), pp. 501–509
Citations: 3
Year: 2018

Title: Solitary Potential in a Space Plasma Containing Dynamical Heavy Ions and Bi-Kappa Distributed Electrons of Two Distinct Temperatures
Authors: M. Sarker, B. Hosen, M.R. Hossen, A.A. Mamun
Journal: Communications in Theoretical Physics, 69(1), p. 107
Citations: 3
Year: 2018

Title: Electroacoustic Waves in a Collision-Free Magnetized Superthermal Bi-Ion Plasma
Authors: M. Sarker, M.R. Hossen, M.G. Shah, B. Hosen, A.A. Mamun
Journal: Plasma Physics Reports, 45, pp. 481–491
Year: 2019

Title: Oblique Propagation of Electrostatic Waves in a Magnetized Electron-Positron-Ion Plasma in the Presence of Heavy Particles
Authors: M.R. Hossen, A.A. Mamun, M. Sarker, B. Hosen, M.G. Shah
Journal: De Gruyter
Year: 2018

Title: Oblique Propagation of Electrostatic Waves in a Magnetized EPI Plasma
Authors: M. Sarker, B. Hosen, M.G. Shah, M.R. Hossen, A.A. Mamun
Platform: arXiv preprint, arXiv:1711.06975
Year: 2017

Title: Solitary Potentials in a Three Component Space Plasma
Authors: M. Sarker, B. Hosen, M.R. Hossen, A.A. Mamun
Platform: arXiv preprint, arXiv:1707.05571
Year: 2017

Mohamad Hatami Nejad | Psychology | Best Research Article Award

Published on 05/06/202505/06/2025 by TOT Awards

Mr. Mohamad Hatami Nejad | Psychology | Best Researcher Award

PhD Candidate at University of Tehran, Iran

Mr. Mohamad Hatami Nejad is a Ph.D. candidate in Clinical Psychology at the University of Tehran, admitted in 2024 as a distinguished talent. With academic roots in Lorestan University, he earned both his Bachelor’s and Master’s degrees in Psychology with top ranks and honors. His passion lies in understanding addiction, emotion regulation, and psychopathology through a structural and statistical lens. Mohamad has authored over 20 scholarly articles in national and international journals and has received multiple awards, including the Outstanding Student Award and recognitions from Iran’s National Elites Foundation. He actively contributes to scientific conferences, student leadership bodies, and research projects on psychological readiness, trauma, and youth resilience. His research rigor, leadership roles, and commitment to evidence-based psychological practice place him at the forefront of mental health scholarship in Iran. 🧠📘🎓

professional profile

Education

Mohamad Hatami Nejad began his academic journey with a B.Sc. in Psychology at Lorestan University (2017–2021), where he built a strong foundation in mental health and behavioral sciences. He pursued an M.Sc. in General Psychology (2021–2023) from the same university, graduating with honors and a thesis titled: “Investigating the Mediating Role of Self-Efficacy in the Relationship Between Sensation Seeking, Anxiety Sensitivity, and Negative Affectivity with Readiness for Substance Use.” In 2024, he was admitted as a Distinguished Talent into the Ph.D. program in Clinical Psychology at the University of Tehran, where he now engages in coursework and advanced psychological research. His academic track is marked by academic excellence, interdisciplinary learning, and an applied focus on substance use, emotion regulation, and youth resilience. 🎓📊📚

Work Experience

Mohamad has served as a research assistant, project leader, and internal manager in various clinical and academic institutions. Between 2021 and 2022, he worked as a psychologist at the Lorestan Article 16 Center, aiding substance-affected populations. He has been a committee chair, executive organizer, and review panel member for academic and national projects, including those at the Iranian Psychological Association and National Elites Foundation. His research roles span clinical trials, public health studies, and university-wide assessments of academic burnout, trauma, and emotional intelligence. Currently, he is project manager for a psychological readiness model at Baqiyatallah University of Medical Sciences. He also holds multiple leadership roles in ACECR, Lorestan University, and Jahad Daneshgahi. 🧑‍⚕️📝📈

Research Focus

Mr. Hatami Nejad’s research explores the psychological mechanisms underpinning addiction, emotional dysregulation, anxiety, and impulsivity. Using structural equation modeling, he investigates how factors like sensation seeking, anxiety sensitivity, and self-efficacy predict readiness for substance use and social anxiety. His work incorporates both clinical interventions (e.g., transcranial stimulation, therapy comparisons) and preventive models for vulnerable groups like youth, students, and divorced women. He also examines executive functions, borderline personality traits, and academic burnout. His emerging focus includes spiritual intelligence, resilience, and the impact of perfectionism on mental health. With over 20 articles in Scopus and ISC journals, his multi-dimensional approach bridges neuroscience, therapy, and educational psychology. 🧬🧘‍♂️🧪

Conclusion

Mohamad Hatami Nejad is highly deserving of the Best Researcher Award. His achievements in clinical and behavioral psychology, his substantial contributions to addiction research and emotional regulation, and his leadership roles in academic and community organizations distinguish him as a future leader in psychological sciences. His work not only demonstrates intellectual rigor but also aligns closely with societal needs and mental health advocacy. By fostering deeper international ties and integrating more applied research outcomes, he is poised to make a transformative global impact. 🧠🌐🏆

Publications to Noted

Investigating the relationships between sensation-seeking and addiction with accident risk among professional drivers with structural equation modeling approach

Authors: M. Hatami Nejad, H. Akbari, K. Amraei, P. Khaleghi Dehabadi, …

Journal: Archives of Trauma Research, 12(3), 150-158

Citations: 6

Year: 2023

The effectiveness of psychodrama group therapy and cognitive behavioral play therapy on executive functions…

Authors: M. Noroozi Homayoon, M. Hatami Nejad, E. Sadri Damichi

Journal: Neuropsychology, 9(35), 1–17

Citations: 5

Year: 2024

Development of a student social anxiety model based on uncompromising perfectionism and experiential avoidance…

Authors: M. Hatami Nejad, M. Noroozi Homayoon, M. Sadeghi, E. Sadri Damirchi

Journal: Journal of Applied Psychological Research

Citations: 4

Year: 2024

Modeling the Role of Parent-Child Conflict in Predicting Social Anxiety…

Authors: M. Hatami Nejad, N. Mikaeili, E. Sadeghi Niri

Journal: Journal of Family Relations Studies, 4(14), 4-13

Citations: 4

Year: 2024

Structural Relationships of Anxiety Sensitivity and Sense of Coherence…

Authors: M. Hatami Nejad, F. Mirderikvand, M. Sepahvandi

Journal: Scientific Quarterly Research on Addiction, 17(70), 149–174

Citations: 4

Year: 2024

Comparing the effectiveness of transcranial direct current stimulation and repeated Transcranial Magnetic Stimulation…

Authors: M. Noroozi Homayoon, M. Almasi, E. Sadri Damirchi, M. Hatami Nejad

Journal: Neuropsychology, 8(31), 1–19

Citations: 4

Year: 2023

Comparing the Efficacy of Emotion-Focused Therapy and Transcranial Direct Current Stimulation…

Authors: M.N. Homayoon, Z.A. Samarein, M. Sadeghi, M. Hatami Nejad

Journal: Journal of Research in Psychopathology, 6(1), 33–42

Citations: 3

Year: 2024

Investigating the relationships between problem-solving ability, resilience and academic burnout…

Authors: M. Khoshgoftar, F. Karamali, M.Z. Nasrabadi, M. Hatami Nejad

Journal: Psychological Science and Education, 28(4), 134–144

Citations: 2

Year: 2023

Developing a Model of Experiential Avoidance Based on Childhood Trauma and Victimization…

Authors: M. Hatami Nejad, E. Sadri Damirchi, M. Sadeghi, M. Noroozi Homayoon

Journal: European Journal of Trauma & Dissociation

Citations: 1

Year: 2025

Comparing the Effectiveness of Cognitive-Emotional Regulation Training and Transcranial Direct Current Stimulation…

Authors: M. Noroozi Homayoon, E. Sadri Damirchi, M. Sadeghi, M. Hatami Nejad

Journal: Women’s Health Bulletin, 12(1), 21–29

Citations: 1

Year: 2025

Esmail M. El-Fakharany | Antiviral | Best Researcher Award

Published on 04/06/202504/06/2025 by TOT Awards

Prof. Dr. Esmail M. El-Fakharany | Antiviral | Best Researcher Award

Researcher at city of scientific research and technological applications, Egypt

Prof. Dr. Esmail Mohammed El-Fakharany is a distinguished Egyptian scientist in microbiology and biotechnology, currently serving as Professor in the Protein Research Department at the Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications. With a career dedicated to exploring the therapeutic applications of natural and recombinant proteins, he has made significant contributions in antiviral and anticancer research. Dr. El-Fakharany has published extensively in high-impact journals, including Scientific Reports – Nature, and has authored multiple book chapters. He is also an active mentor for MSc and Ph.D. students, a regular contributor to international conferences, and a patent innovator with numerous submissions to the Egyptian Patent Office. His research and mentorship have impacted various fields, including biotechnology, immunology, and molecular biology. Through teaching, research, and public engagement, he continues to foster innovation and scientific excellence both nationally and internationally. 🧬📚🦠

professional profile