Waltraud Kriven | Geopolymers | Best Researcher Award

Prof. Waltraud Kriven | Geopolymers | Best Researcher Award

Professor at University of Illinois at Urbana-Champaign, United States

Waltraud M. Kriven is a distinguished Full Professor of Material Science and Engineering at the University of Illinois at Urbana-Champaign. Born in Eisenstadt, Austria, she holds dual citizenship in Australia and the United States. With extensive research experience in advanced ceramics, geopolymers, and bioceramics, Kriven has made significant contributions to the field, particularly in the synthesis and characterization of ceramic composites. Her research spans high-temperature phase transformations, synchrotron studies, and innovative material solutions for environmental and medical applications. A renowned expert, she has received several prestigious awards, including Fellow status in the American and Australian Ceramic Societies and the World Academy of Ceramics. Kriven’s work is characterized by a strong commitment to advancing sustainable materials and cutting-edge technology. She has also published numerous patents and research papers, cementing her as a leading figure in materials science.

professional profiles📖

Google scholar

ORCID

Education 🎓

Waltraud M. Kriven’s academic journey is rooted in a strong foundation in chemistry and materials science. She completed her Ph.D. in Solid State Chemistry in 1976 from the University of Adelaide, South Australia, under the supervision of Dr. S. W. Kennedy. Prior to that, she earned a Bachelor of Science (Honours) degree in Physical and Inorganic Chemistry from the University of Adelaide in 1971. Her academic background also includes a Bachelor of Science in Physical and Inorganic Chemistry and Biochemistry from the same institution, obtained in 1970. Kriven’s early education at St. Joseph’s Girls High School in Adelaide, South Australia, completed her matriculation in 1966. Throughout her career, Kriven has integrated her deep knowledge of chemistry into her groundbreaking work in material science and engineering, influencing both academia and industry through her contributions.

work Experience💼

Waltraud M. Kriven’s career spans over two decades in academia and research. Since 1995, she has been a professor in the Department of Materials Science and Engineering at the University of Illinois at Urbana-Champaign. Her research covers a wide range of topics, from high-temperature synchrotron studies of phase transformations to the synthesis and characterization of advanced ceramics, geopolymers, and bioresorbable ceramics. In addition to her role at the University of Illinois, Kriven has contributed to several professional organizations, serving as an Academician in the World Academy of Ceramics and a Fellow in the American and Australian Ceramic Societies. Her work has been recognized globally, and she has mentored numerous graduate students and researchers. Kriven’s leadership and research have significantly impacted the fields of materials science, sustainability, and bioceramics, making her a highly respected figure in her domain.

Awards and Honors

Waltraud M. Kriven has received numerous prestigious awards and honors throughout her career in recognition of her pioneering work in materials science. She became a Fellow of the American Ceramic Society in 1995 and was named an Academician in the World Academy of Ceramics in 2004. In 2008, she was inducted as a Fellow of the Australian Ceramic Society. Her remarkable achievements also earned her membership in the European Union Academy of Sciences in 2020. Kriven’s research excellence has been recognized by the American Ceramic Society’s Brunauer Award (1988, 1991) for Best Paper of the Year. Additionally, she received the James I. Mueller Award in 2017 for her advancements in ceramics. In 2022, her article was recognized as the Wiley Top Downloaded Article in the International Journal of Applied Ceramic Technology. Kriven’s high impact in materials science is evident through her consistent recognition and contributions.

Research Focus

Waltraud M. Kriven’s research focus lies at the intersection of advanced materials, ceramics, and sustainability. She specializes in in situ high-temperature synchrotron studies, exploring phase transformations and thermal expansions in ceramics. Her work in geopolymers and geopolymer-derived ceramics addresses innovative and low-energy methods for synthesizing ceramic powders and composites. Kriven is dedicated to advancing structural ceramic composites, bioceramics, and biocompatible materials for drug and gene delivery applications. Additionally, she explores ferroelasticity, martensitic transformations, and the design and characterization of bioresorbable nanoceramics. Through her interdisciplinary approach, Kriven aims to create sustainable materials and address complex environmental and technological challenges. Her research contributes to new materials for medical, environmental, and energy-efficient applications, helping to shape the future of materials science. Kriven’s research output is marked by collaborations with global experts, resulting in multiple patents and innovations in ceramics and materials engineering.

 

Conclusion✅

Waltraud M. Kriven is an ideal candidate for the Research for Best Researcher Award. Her contributions to materials science, particularly in high-temperature ceramics, geopolymers, and bioceramics, demonstrate her scientific excellence. The strength of her innovations, extensive research impact, and numerous accolades speak to her distinguished career and forward-looking contributions to material science and engineering. However, expanding her influence to broader interdisciplinary areas and enhancing public and industrial collaborations would further amplify the societal impact of her work.

 

📚Publications to Noted

Understanding the relationship between geopolymer composition, microstructure and mechanical properties

Authors: P Duxson, JL Provis, GC Lukey, SW Mallicoat, WM Kriven, …

Citations: 2027

Year: 2005

The effect of alkali and Si/Al ratio on the development of mechanical properties of metakaolin-based geopolymers

Authors: P Duxson, SW Mallicoat, GC Lukey, WM Kriven, JSJ Van Deventer

Citations: 1057

Year: 2007

Stability of Tetragonal ZrO2 Particles in Ceramic Matrices

Authors: AH Heuer, N Claussen, WM Kriven, M Ruhle

Citations: 749

Year: 1982

Iron release from corroded iron pipes in drinking water distribution systems: effect of dissolved oxygen

Authors: P Sarin, VL Snoeyink, J Bebee, KK Jim, MA Beckett, WM Kriven, …

Citations: 495

Year: 2004

Physico-chemical characteristics of corrosion scales in old iron pipes

Authors: P Sarin, VL Snoeyink, J Bebee, WM Kriven, JA Clement

Citations: 391

Year: 2001

Iron corrosion scales: model for scale growth, iron release, and colored water formation

Authors: P Sarin, VL Snoeyink, DA Lytle, WM Kriven

Citations: 389

Year: 2004

Microstructure and microchemistry of fully-reacted geopolymers and geopolymer matrix composites

Authors: WM Kriven, JL Bell, M Gordon

Citations: 360

Year: 2003

Formation of ceramics from metakaolin-based geopolymers. Part II: K-based geopolymer

Authors: JL Bell, PE Driemeyer, WM Kriven

Citations: 325

Year: 2009

Polymerized organic-inorganic synthesis of mixed oxides

Authors: MA Gülgün, MH Nguyen, WM Kriven

Citations: 270

Year: 1999

Ceramic coatings by anodic spark deposition

Authors: GP Wirtz, SD Brown, WM Kriven

Citations: 228

Year: 1991

 

 

Ajoy Kumar Bauri | Isolation | Best Researcher Award

Dr. Ajoy kumar Bauri | Isolation | Best Researcher Award

Scientific Officer at Bhabha Atomic Research Centre, Trombay, Mumbai , India

Dr. Ajoy Kumar Bauri is a Senior Scientist (SO ‘F’) at the Bio-Organic Division, Bhabha Atomic Research Centre (BARC), Mumbai, Dr. Bauri’s primary research interests lie in the investigation of bioactive secondary metabolites from medicinal plants, marine organisms, and microorganisms. He is a specialist in isolating and characterizing natural products that serve as potential pharmaceutical agents. His work focuses on developing safer, more potent drugs from natural resources such as medicinal herbs and marine organisms, contributing significantly to the fields of pharmacology and biotechnology. Through his groundbreaking research, Dr. Bauri is advancing the development of novel agents with anti-cancer, anti-inflammatory, and anti-microbial properties, aiming to improve global healthcare.

professional profiles📖

Education 🎓

Dr. Ajoy Kumar Bauri holds a Ph.D. in Science, specializing in the isolation and characterization of bioactive natural products, particularly secondary metabolites from medicinal plants and marine organisms. His educational background laid a strong foundation for his scientific career, enabling him to develop a deep understanding of bio-organic chemistry and pharmacology. His focus on medicinal plants, natural product chemistry, and molecular pharmacology stems from his academic pursuits, during which he gained expertise in advanced chromatographic techniques, spectroscopy, and the structural elucidation of bioactive compounds. He continuously strives to stay updated with the latest advancements in his field, ensuring his work remains at the cutting edge of bio-organic and pharmaceutical research.

work Experience💼

Dr. Ajoy Kumar Bauri has over three decades of research experience at Bhabha Atomic Research Centre (BARC), Mumbai. During his tenure, he has specialized in investigating bioactive secondary metabolites from traditional medicinal plants, marine organisms, and microorganisms. Dr. Bauri has extensive experience in utilizing advanced chromatographic techniques, including column chromatography, high-performance liquid chromatography, and thin-layer chromatography to isolate bioactive compounds. His expertise also extends to spectroscopic analysis, employing various techniques such as NMR, mass spectrometry, IR spectroscopy, and X-ray diffraction to elucidate the structures of isolated compounds. In addition to his laboratory work, Dr. Bauri has studied the potential biomedical applications of these compounds, including their anti-cancer, anti-ulcer, anti-inflammatory, and anti-microbial activities. He has also explored the biosynthetic and biotransformation processes of these compounds, using bacterial and fungal cultures to produce novel analogues for further study.

Awards and Honors

Dr. Ajoy Kumar Bauri’s contributions to the field of bioactive natural products have earned him recognition in various scientific circles. Although specific awards and honors are not detailed in the provided information, his work is widely acknowledged in the scientific community for its potential impact on pharmaceutical research. His focus on isolating bioactive compounds from natural sources and contributing to drug development, especially in the areas of anti-cancer, anti-inflammatory, and anti-microbial therapies, has made him a valuable member of the Bhabha Atomic Research Centre (BARC). He has also been instrumental in the exploration of marine organisms and microorganisms as sources of novel bioactive molecules. Dr. Bauri’s research continues to influence future drug development, and his scientific excellence makes him a candidate for recognition in national and international research awards in pharmaceutical science and bio-organic chemistry.

Research Focus

Dr. Ajoy Kumar Bauri’s primary research focus is on the investigation of bioactive secondary metabolites derived from medicinal plants, marine organisms, and microorganisms. He isolates and characterizes new pharmaceutical agents, especially those used in traditional herbal and Ayurvedic systems. Dr. Bauri’s work emphasizes the exploration of natural products as a safer and more potent alternative to synthetic drugs, focusing on their potential in treating diseases like cancer, infections, ulcers, and inflammation. His research spans the isolation of compounds using advanced chromatographic techniques, followed by detailed structural characterization through various spectroscopic methods such as NMR, mass spectrometry, and X-ray diffraction. Additionally, Dr. Bauri investigates the biosynthesis and biotransformation of these compounds to create novel analogues, contributing to the development of new, more effective therapeutics. His research is aimed at the biomedical applications of these compounds, with an emphasis on their pharmacological activities and overall therapeutic potential.

Skills

Dr. Ajoy Kumar Bauri possesses an extensive skill set that enables him to carry out advanced research in the field of bioactive natural products. His technical skills include proficiency in chromatographic techniques such as column chromatography, high-performance liquid chromatography (HPLC), and thin-layer chromatography (TLC), which he uses to isolate bioactive compounds. He is highly skilled in spectroscopic methods such as one-dimensional and two-dimensional NMR, mass spectrometry, infrared spectroscopy, and single-crystal X-ray diffraction, allowing him to accurately characterize the structure of isolated compounds. Additionally, Dr. Bauri has expertise in testing the pharmacological properties of natural products, including anti-cancer, anti-ulcer, anti-inflammatory, and anti-microbial activities. His ability to explore biosynthesis and biotransformation pathways using microbial cultures adds depth to his research, contributing to the creation of novel drug analogues. His comprehensive approach to natural product chemistry, coupled with his biomedical focus, ensures the applicability of his research in pharmaceutical development.

Conclusion✅

Dr. Ajoy Kumar Bauri’s exceptional contributions to the field of bioactive natural products, his innovative research methodologies, and his focus on the biomedical applications of his findings position him as a strong candidate for the Best Researcher Award. His work addresses crucial health challenges, particularly in oncology, infectious diseases, and inflammation, through the development of pharmaceutical agents derived from nature. By expanding his outreach and fostering collaborations, Dr. Bauri could further amplify the global impact of his research.

📚Publications to Noted

Exhibition of Förster resonance energy transfer from CdSe/ZnS quantum dot to zinc porphyrazine studied in solution.
J. Mol. Liq., 276, 770-778 (2019)
Year: 2019
Author: Ajoy Bauri

Analysis of Chemical constituents of Steam Distillate of Trachyspermum roxburghianum
Am. J. Food Sci. & Nutrition, 5(4), 76-81 (2018)
Year: 2018
Author: Ajoy Bauri

Anti-proliferative Active Flavones from the Methanol Extract of Indian Herb Artemisia reticulata.
Am. J. Pharma & Pharmacol. 5(4), 27-32 (2018)
Year: 2018
Author: Ajoy Bauri

Anti-proliferative Allyl phenol from the Methanol Extract of Piper betle.
Am. J. Pharma & Pharmacol. 5(3), 13-18 (2018)
Year: 2018
Author: Ajoy Bauri

Molecular assembly of PC70BM with a designed monoporhyrin: Spectroscopic investigation in solution and theoretical calculations.
J. Mol. Liq., 272, 137-150 (2018)
Year: 2018
Author: Ajoy Bauri

Study of Chemical Physics on Energy Transfer Phenomenon between Quantum Dots and Designed Diporphyrin in Solution.
J. Mol. Liq., 263, 64-71 (2018)
Year: 2018
Author: Ajoy Bauri

Synthesis and Evaluation of Polyphenolic Malabaricones for their Anti-cancer Potential.
BARC NEWSLETTER Research Article, September-October 2018
Year: 2018
Author: Ajoy Bauri

The spice-derived phenolic, malabaricone B induces mitochondrial damage in A549 cells via p53-independent pathway.
Food & Function, 14:9(11), 5715-5727 (2018)
Year: 2018
Author: Ajoy Bauri

Crystal structure of tetrahydro seselin, an angular pyranocoumarin.
Acta Cryst. E, 2017-06-21
Year: 2017
DOI: 10.1107/S205698901700932X
Author: Ajoy Bauri

(10R,13R)-17-(6-Hydroxy-5-methylheptan-2-yl)10,13-dimethyl-2,3,4,7,10,11,12,13,14,15,16,17,-tetradecahydro-1H cyclopenta[a] phenanthre-3-ol hemihydrate: a bioactive steroid isolated from the Indian herb Artemisia reticulata.
Year: 2017
Author: Ajoy Bauri

Crystal structure of a photobiologically active brominated angular pyranocoumarin: bromo hydroxyl seselin.
Acta Cryst (2017). E73, 453-455
Year: 2017
Author: Ajoy Bauri

Crystal structure of dibromomethoxy seselin, a photobiologically active pyranocoumarin.
Acta Cryst (2017). E73, 774-776
Year: 2017
Author: Ajoy Bauri

Crystal structure of tetrahydro seselin, an angular pyranocoumarin.
Acta Cryst (2017). E73, 1117-1120
Year: 2017
Author: Ajoy Bauri

Identification of GTP binding nuclear protein Ran as an upregulation target in acetoin glycoside mediated plant growth enhancement.
Natural Product Journals, 7, 1-7 (2017)
Year: 2017
Author: Ajoy Bauri

Crystal structure of Bergapten, a photomutagenic and photobiologically active furanocoumarin.
Acta Cryst. E, 2016-07
Year: 2016
Author: Ajoy Bauri

Crystal structure of bergapten: a photomutagenic and photobiologically active furanocoumarin.
Cryst. Acta. E72, 1194-1196 (2016)
Year: 2016
Author: Ajoy Bauri

 

Fereshte Azarkhordad | Archaeology | Best Researcher Award

Mrs. Fereshte Azarkhordad | Archaeology  | Best Researcher Award

ph. D student at Mazandaran University ,Iran

Fereshte Azarkhordad, a distinguished scholar in Islamic and digital archaeology, hails from Iran. With a Bachelor’s degree in Archaeology from the University of Birjand, a Master’s degree in Islamic Archaeology, and a Ph.D. in Digital Archaeology from the University of Mazandaran, she has devoted her career to understanding and preserving historical architecture. Her doctoral research utilizes artificial neural networks to analyze the historic city of Zuzan. Alongside her academic pursuits, Fereshte has gained hands-on experience through archaeological excavations and museum content development. She is currently an instructor at the University of Birjand, focusing on advancing archaeological research through digital tools. Her prolific contributions include journal articles, book reviews, and conference presentations, highlighting her expertise in Timurid architecture and computational archaeology. Proficient in GIS, AutoCAD, Python, and Metashape, Fereshte Azarkhordad is an accomplished researcher, educator, and innovator in her field.

Professional profiles📖

Education 🎓

Mrs. Fereshte Azarkhordad’s academic journey reflects her deep commitment to advancing archaeological and cultural studies. She earned a Bachelor’s Degree in Archaeology from the University of Birjand (2011–2014), where she gained foundational knowledge in archaeological methodologies and practices. Continuing her studies at the same institution, she completed a Master’s Degree in Islamic Archaeology (2015–2017). Her thesis, titled “Recognition and Analysis of Geometric Proportions in Timurid Architecture”, scored an impressive 19/20 and won her the Outstanding Thesis Award in 2017. Currently, she is pursuing a Ph.D. in Digital Archaeology (2020–Present) at the University of Mazandaran, with her research focusing on the application of artificial neural networks in the archaeological analysis of Zuzan. As part of her doctoral program, she is undertaking a sabbatical (2024–2025) at the Universitat Autònoma de Barcelona (UAB), receiving specialized training in advanced digital methodologies.

Work Experience💼

Mrs. Azarkhordad has amassed valuable professional experience in diverse roles. In 2018, she served as Trench Manager during the archaeological excavation of Shirvan Tepe Arg, collaborating with the Iran-China joint board (Nanjing University). From 2018 to 2020, she worked as a Content Development Specialist at the Great Museum of Khorasan in Mashhad, where she was responsible for curatorial tasks and developing content for historical objects. Since 2020, she has been a University Instructor at the Faculty of Art, University of Birjand, teaching courses on Archaeology and Islamic Architecture. Her academic contributions include numerous peer-reviewed articles and conference presentations focused on applied geometry and digital techniques in archaeology.

Awards and Honors

Mrs. Azarkhordad’s dedication to excellence has been recognized through several awards and honors. She received the Outstanding Thesis Award (2017) for her exceptional master’s thesis on Timurid architecture. In 2020, she was awarded a prestigious Ph.D. Scholarship by the University of Mazandaran, acknowledging her innovative research in digital archaeology. Furthermore, in 2024, she secured an International Collaboration Grant, enabling her to undertake a sabbatical at the Universitat Autònoma de Barcelona (UAB) and gain advanced training in digital archaeological methodologies.

Research Focus

Mrs. Azarkhordad’s research spans multiple interconnected domains within archaeology. Her primary focus is on Digital Archaeology, where she leverages artificial neural networks and deep learning technologies to analyze historical artifacts and sites. Her work on Timurid Architecture explores the intricate use of applied geometry in Islamic-era structures. Additionally, she delves into Islamic Archaeology, investigating the evolution of cultural heritage during the Islamic period, offering fresh insights into historical architectural practices and preservation.

Skills

Mrs. Azarkhordad possesses a broad range of technical and analytical skills. She is proficient in GIS (ArcMap) for spatial analysis and mapping, AutoCAD for designing and analyzing architectural layouts, and Python for applying machine learning and data analysis in archaeology. Her expertise also extends to Metashape, enabling her to perform photogrammetry and 3D reconstructions. Linguistically, she is fluent in Farsi (native) and has an advanced command of English, facilitating international collaboration and academic publication.

Conclusion✅

Fereshte Azarkhordad is an outstanding candidate for the Research for Best Researcher Award. Her blend of academic rigor, innovative use of technology, and a strong publication record positions her as a leader in digital and Islamic archaeology. Addressing areas like interdisciplinary collaboration and community engagement can further amplify her contributions to the research community. Overall, her achievements and potential make her a deserving contender for this prestigious recognition.

📚Publications to Noted

Detecting Archaeological Phenomena Using Deep Learning in the Study of the Old Aerial Images of the Historical City of Zuzan

Authors: F. Azarkhordad, H.H. Zarajabad, et al.

Publication: Archaeological Studies

Publisher: Wiley Online Library

Year: 2024

Citations: Not available yet (2024 publication).

 

Qing Liu | Metallurgy | Best Researcher Award

Prof. Dr. Qing Liu | Metallurgy | Best Researcher Award

Former Deputy Director at University of Science and Technology Beijing, China

Prof. Dr. Qing Liu is a renowned metallurgical engineer and professor at the University of Science and Technology Beijing (USTB), where he also serves as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. A leader in the field of steelmaking and metallurgical engineering, he has made significant contributions to process optimization, quality control, and intelligent manufacturing in steel production. Dr. Liu has earned multiple prestigious awards, including the National Business Science and Technology Progress Award and the World Scientist Grand Award. His extensive academic and research career, paired with numerous leadership roles, solidifies his status as an influential figure in the global metallurgy community. As a visiting professor and member of several international associations, his work bridges global collaborations with advanced metallurgical practices. 🌍🏅

professional profiles📖

Scopus Profile

Education 🎓

Prof. Dr. Qing Liu completed his Bachelor’s degree in Metallurgical Engineering at USTB in 1989. He continued his academic journey with a Master’s degree in Metallurgical Engineering from USTB (1995) and later earned a Ph.D. in Metallurgical Engineering from the same university in 2002. He expanded his global academic exposure as a visiting scholar at Latrobe University in Australia in 2005. His education laid the foundation for his successful career in metallurgical research and engineering. Liu’s expertise spans across steelmaking, continuous casting processes, and metallurgical process optimization, contributing significantly to the advancements in the industry. 📚

work Experience💼

Prof. Dr. Qing Liu has held several prestigious positions at USTB. Since 2007, he has been a professor, and from 2013 to 2019, he served as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. His administrative experience includes roles such as Deputy Director of the Office of Scientific Research and Development at USTB and Vice Dean of the School of Metallurgical Engineering. Additionally, he has served as a lecturer and teaching assistant during the earlier years of his career. Liu’s leadership extends to numerous influential committees in metallurgical technology, such as the Continuous Casting Committee of the Chinese Society for Metals, highlighting his wide-reaching impact on the field. 👨‍🏫

Awards and Honors

Prof. Dr. Qing Liu has received numerous accolades for his groundbreaking work in the field of metallurgy. In 2024, he was awarded the National Business Science and Technology Progress Award (First Place) for the development and application of intelligent smelting technology. He also received the National Metallurgical Science and Technology Award (First Place, Second Class) for advancements in solidification cooling processes in continuous casting. Liu’s expertise has earned him the 60th Advanced Materials Congress Scientist Medal Award and the World Scientist Grand Award (Golden Scientist Grand Award), both of which recognize his contributions to the optimization of steelmaking technologies. These honors reflect his leadership and innovation in metallurgical research. 🏅

Research Focus

Prof. Dr. Qing Liu’s research interests primarily revolve around the optimization of metallurgical processes, focusing on steelmaking and continuous casting technologies. He is particularly passionate about enhancing quality control and efficiency in steel production through intelligent manufacturing systems. His work in multiscale modeling and simulation aims to improve the sustainability and high-efficiency utilization of metallic resources. Liu also explores collaborative manufacturing strategies that integrate advanced technologies for quality steel production, paving the way for smarter, more resource-efficient metallurgical processes. His research continues to shape the future of metallurgical engineering. 🔧

Skills

Prof. Dr. Qing Liu possesses a diverse skill set in metallurgy, process optimization, and industrial engineering. His expertise includes advanced simulation and modeling techniques, intelligent manufacturing systems, and the optimization of continuous casting processes. Additionally, he has extensive leadership and project management skills, honed through years of administrative roles and research direction. Liu is also proficient in fostering international collaborations and mentoring the next generation of metallurgists. His broad technical skills and academic leadership make him a prominent figure in the field of metallurgical engineering. 🛠️

Conclusion✅

Prof. Dr. Qing Liu is a highly accomplished researcher and a deserving candidate for the Best Researcher Award. His pioneering contributions to metallurgical engineering, particularly in steelmaking intelligence and process optimization, demonstrate an exceptional commitment to advancing science and technology. Recognized globally for his expertise and leadership, Prof. Liu’s work has a lasting impact on both academia and industry. Addressing the areas for improvement—such as enhancing public outreach and diversifying research applications—could further solidify his position as a leading figure in his field.

 

📚Publications to Noted

Large eddy simulation of novel EMBr effect on flow pattern in thin slab casting mold with multi-port SEN and ultra-high casting speed

Authors: Cui, H., Sun, J., Zhang, J., Wang, G., Liu, Q.

Citations: 0

Year: 2025

Journal: Journal of Manufacturing Processes

Study on Influencing Factors and Their Combined Effects on Multiphase Behavior in Tundish Pouring Zone

Authors: Qin, B., Zhang, J., Yang, C., Yang, S., Liu, Q.

Citations: 0

Year: 2025

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Prediction of Ladle Furnace Refining Endpoint Temperature Based on Particle Swarm Optimization Algorithm and Long Short-Term Memory Neural Network

Authors: Wang, H., Wang, M., Liu, Q., Yang, Z., Xing, L.

Citations: 0

Year: 2025

Journal: JOM

Explainable machine learning model for predicting molten steel temperature in the LF refining process

Authors: Xin, Z., Zhang, J., Peng, K., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: International Journal of Minerals, Metallurgy and Materials

Effect of Deoxidation Sequence on Inclusions in Oriented Silicon Steel

Authors: Liu, Q., Wang, M., Pang, W., Xing, L., Bao, Y.

Citations: 0

Year: 2024

Journal: JOM

Numerical Modeling and Plant Trial on the Optimization of SEN Designs in a Large Round Billet Mold

Authors: Qin, B., Zhang, J., Yang, S., Zuo, X., Liu, Q.

Citations: 0

Year: 2024

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost

Authors: Xu, J., Xin, Z., Lan, M., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Steelmaking–Continuous Casting Scheduling Model Based on Grey Wolf Algorithm with “Furnace–Caster Matching” Mode

Authors: Chen, B., Shao, X., Zhang, J., Li, H., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Preparation and Properties of Thick Tungsten Coating Electrodeposited from Na2WO4-WO3-KCl-NaF Molten Salt System

Authors: Li, Y., Dong, X., Liu, Q., Gao, Z., Zhang, Y.

Citations: 0

Year: 2024

Journal: Coatings

Microstructure and high temperature tribological behavior of nickel-based superalloy with addition of revert

Authors: Zhang, K., Zhang, J., Zhao, P., Liu, Q., Yang, S.

Citations: 2

Year: 2024

Journal: Journal of Materials Research and Technology

 

 

Huisheng Wang | Metallurgical Engineering | Best Researcher Award

Dr. Huisheng Wang | Metallurgical Engineering | Best Researcher Award

MD-PhD student at University of Science and Technology Beijing, China

🌟 Dr. Huisheng Wang is an accomplished metallurgical engineer and an MD-PhD student at the University of Science and Technology Beijing. His expertise lies in advancing continuous casting processes through cutting-edge research in cooling control technologies and quality optimization for steel casting blanks. With a robust academic foundation and industry collaboration, Dr. Wang has made significant contributions to the metallurgical field, evidenced by his national awards, impactful publications, and numerous patents. He is dedicated to pushing the boundaries of metallurgical science and technology, cementing his status as a rising star in his domain.

professional profiles📖

Scopus Profile

Education 🎓

🎓 Dr. Huisheng Wang began his academic journey at Taiyuan University of Technology, earning a Bachelor’s degree in Metallurgical Engineering in 2018. He further advanced his education by enrolling in the prestigious University of Science and Technology Beijing, where he has been pursuing an MD-PhD in Metallurgical Engineering since 2018. His education has been a cornerstone of his expertise, equipping him with the knowledge and skills to excel in his research and professional endeavors.

work Experience💼

🔬 Throughout his academic and professional career, Dr. Huisheng Wang has actively contributed to the development of innovative solutions in metallurgical engineering. His work focuses on numerical simulations and control strategies for continuous casting processes, enhancing steel manufacturing efficiency and quality. Collaborating with industry and academic institutions, he has applied his expertise to solve practical challenges in the steelmaking sector, demonstrating his ability to bridge the gap between research and real-world applications.

Awards and Honors

🏆 Dr. Wang’s exceptional contributions to metallurgical science have been recognized through prestigious awards. In 2024, he received the National Metallurgical Science and Technology Award (Second Class) for his work on lean manufacturing technologies in steel casting. In 2022, he earned the Third Class National Metallurgical Science and Technology Award for innovations in automotive special steel processes, along with the Metallurgical Science Progress Award for his advancements in the surface microstructure of low-carbon steel casting blanks. These accolades highlight his significant impact on the metallurgical field.

Research Focus

🔍 Dr. Wang’s research interests center on advancing the continuous casting process. He focuses on multi-mode cooling control technologies, quality control for steel blanks, and numerical simulation techniques for process optimization. His work aims to enhance the efficiency, quality, and sustainability of steel production, making him a leading innovator in this vital industrial sector.

Skills

💡 Dr. Wang is highly skilled in metallurgical process simulations, advanced continuous casting technologies, and developing innovative manufacturing techniques. His expertise extends to solving complex industrial challenges, optimizing cooling systems, and enhancing the quality of steel products. With a strong analytical mindset and a commitment to innovation, he excels in driving progress in metallurgical engineering.

Conclusion✅

Dr. Huisheng Wang is a strong contender for the Best Researcher Award, given his impactful contributions to metallurgical engineering, innovative research outputs, and impressive patent portfolio. His achievements showcase a clear commitment to advancing the field through applied research and technological development. Addressing areas like global visibility and leadership in grant acquisition could further elevate his profile. Overall, Dr. Wang’s track record demonstrates both academic rigor and industrial relevance, making him a deserving candidate for this prestigious recognition.

📚Publications to Noted

Prediction and Optimization of Water Flux Distribution for Flat Nozzles in Slab Continuous Casting

Authors: Wang, H.; Zhang, J.; Tao, B.; Guan, M.; Liu, Q.

Citations: 0

Year: 2024

Study on Secondary Phase Precipitation Behavior of Ship Plate Steel Slab Under Different Cooling Rates in Continuous Casting Process

Authors: Wang, H.; Liu, Q.; Tao, B.; Guan, M.; Huang, W.

Citations: 0

Year: 2024

Analysis and Control of the Slab Hot Ductility Behaviors Based on Nozzle Arrangement during Continuous Casting

Authors: Wang, H.; Zhang, J.; Wang, C.; Guan, M.; Liu, Q.

Citations: 2

Year: 2024

Effect of Rare Earth Cerium Replacement of Nickel on Cryogenic Toughness of 7Ni Steel

Authors: Wu, L.; Huang, J.; Liu, Q.; Zhi, J.; Wang, H.

Citations: 1

Year: 2023

 

 

Karri chiranjeevi | Image | Best Researcher Award

Prof. Dr. Karri chiranjeevi | Image | Best Researcher Award 

Professor at AU college Of Engineering, India 

Dr. Karri Chiranjeevi is a seasoned researcher specializing in machine learning, deep learning, and data science applications in health, autonomous driving, and environmental systems. With over 34 international journal publications, including eight SCI-indexed works, his innovative research has significantly advanced breast cancer detection, secure robot face recognition, and satellite image processing. Currently a Senior Postdoctoral Researcher at the University of Pompeu Fabra, Spain, he leads groundbreaking studies in scalable systems modeling of non-communicable diseases. Dr. Chiranjeevi’s expertise extends to autonomous driving, where his contributions at the University of Porto and University of Malta have paved the way for enhanced perception in automated vehicles. Holding numerous accolades, he is dedicated to bridging technology and societal impact.

professional profiles📖

Education 🎓

Dr. Karri Chiranjeevi has built an exemplary academic foundation. He earned his Senior Postdoctoral Fellowship at the University of Pompeu Fabra, Spain, focusing on scalable modeling of non-communicable diseases through machine learning. Previously, he was a Postdoctoral Fellow at the University of Porto, Portugal, where he contributed to cutting-edge research on automated perception driving and 3D object detection in autonomous systems. At the University of Malta, he worked on detecting illegal waste dumps using Sentinel-2 satellite imagery and machine learning. Earlier roles include postdoctoral research on radiomics signatures for cancer detection at the Champalimaud Foundation, Lisbon, Portugal. With his advanced training in data science, deep learning, and Python programming, Dr. Chiranjeevi has authored influential works in top-tier international journals and conferences.

work Experience💼

Dr. Karri Chiranjeevi brings extensive experience in interdisciplinary research across Europe. As a Senior Postdoctoral Researcher at the University of Pompeu Fabra, Spain, he models complex systems for non-communicable disease simulations. At the University of Porto, Portugal, he contributed to THEIA, enhancing automated driving perception systems using 3D object detection. His tenure at the University of Malta focused on environmental sustainability, employing satellite data for illegal dump detection. Dr. Chiranjeevi’s earlier projects include innovations in radiomics for cancer detection at the Champalimaud Foundation. With expertise in Python, data science, and machine learning, he has authored 34 international journal articles, shaping fields like autonomous systems, secure robotics, and environmental imaging.

Awards and Honors

Dr. Karri Chiranjeevi has received numerous accolades for his contributions to data science, machine learning, and environmental systems. He is recognized for his influential publications, with eight SCI-indexed articles among 34 journal papers. His achievements include pioneering research on breast cancer detection using radiomics, automated perception for autonomous vehicles, and innovative image processing solutions. Dr. Chiranjeevi has been invited to prestigious international conferences like IEEE and Springer events, showcasing his impactful work. He has contributed to groundbreaking projects funded by leading European universities and institutions, earning respect as a thought leader in his domain.

Research Focus

Dr. Karri Chiranjeevi’s research spans machine learning, deep learning, and data science with applications in healthcare, autonomous systems, and environmental sustainability. His work on breast cancer detection using radiomics and MRI image segmentation has advanced early diagnosis methods. In autonomous systems, he has explored LiDAR-based perception and 3D object detection, enhancing safety in automated driving. His environmental research includes satellite image analysis for illegal waste management. Dr. Chiranjeevi integrates cutting-edge tools like Python and scalable modeling to tackle real-world challenges, contributing to over 34 publications that bridge technology with societal impact.

Skills 

Dr. Karri Chiranjeevi’s expertise lies in advanced machine learning, deep learning, and data science. Proficient in Python and scalable system modeling, he excels in designing innovative algorithms for healthcare, environmental imaging, and autonomous driving. His technical toolkit includes radiomics for cancer detection, 3D object detection for self-driving cars, and satellite data analysis. Dr. Chiranjeevi’s cross-disciplinary approach combines research, software development, and data analytics, enabling impactful solutions to complex problems. He is a skilled collaborator, contributing to European research projects and mentoring students in cutting-edge technologies.

Conclusion✅

Dr. Karri Chiranjeevi is a strong candidate for the Best Researcher Award due to his extensive contributions to interdisciplinary research, impactful publications, and innovative problem-solving in critical fields such as healthcare and autonomous systems. With his technical expertise, collaborative approach, and commitment to addressing global challenges, he embodies the qualities of a leading researcher. Strengthening his leadership in grant acquisition and enhancing his global presence could elevate his profile even further, making him a formidable contender for this prestigious recognition.

📚Publications to Noted

SAR Image Compression Using Adaptive Differential Evolution and Pattern Search-Based K-Means Vector Quantization
Citations: N/A | Year: 2018
DOI: 10.5566/ias.1611

A Novel Optimization Algorithm for Otsu’s Entropy-Based Multi-Level Thresholding for Image Segmentation
Citations: N/A | Year: 2024
DOI10.37256/rrcs.3220244958

Key Indicators to Assess the Performance of LiDAR-Based Perception Algorithms: A Literature Review
Citations: N/A | Year: 2023
DOI10.1109/ACCESS.2023.3321912

Design of a Gabor Filter-Based Image Denoising Hardware Model
Citations: N/A | Year: 2022
DOI10.3390/electronics11071063

Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study
Citations: N/A | Year: 2021
DOI10.3390/app11146522

Secure Robot Face Recognition in Cloud Environments
Citations: N/A | Year: 2021
DOI10.1007/s11042-020-10253-5

Image Compression Based on Vector Quantization Using Cuckoo Search Optimization Technique
Citations: N/A | Year: 2018
DOI10.1016/j.asej.2016.09.009

Implementation of Humon with Human Intelligence
Citations: N/A | Year: 2018
EID: 2-s2.0-85054008403

Shannon and Fuzzy Entropy Based Evolutionary Image Thresholding for Image Segmentation
Citations: N/A | Year: 2018
DOI: 10.1016/j.aej.2017.05.024

Hybrid Cuckoo Search Based Evolutionary Vector Quantization for Image Compression
Citations: N/A | Year: 2017
DOI: 10.1007/978-3-319-46245-5_7

Hybrid Gravitational Search and Pattern Search–Based Image Thresholding by Optimizing Shannon and Fuzzy Entropy for Image Compression
Citations: N/A | Year: 2017
DOI: 10.1080/19479832.2017.1338760

Image Compression Using Shannon Entropy-Based Image Thresholding
Citations: N/A | Year: 2017
DOI: 10.1007/978-981-10-3874-7_10

Modified Firefly Algorithm (MFA) Based Vector Quantization for Image Compression
Citations: N/A | Year: 2016
DOI: 10.1007/978-81-322-2731-1_35

Comparative Study of Image Compression
Citations: N/A | Year: 2015
DOI: 10.1109/EESCO.2015.7253947

Comparative Study of Image Texture Classification Techniques
Citations: N/A | Year: 2015
DOI: 10.1109/EESCO.2015.7253732

 

 

Seyed Morteza Banihashemy | Electrical Machines | Best Researcher Award

 

Mr. Seyed Morteza Banihashemy | Electrical Machines | Best Researcher Award 

ph. d student  at Semnan University, Iran

S. Morteza Banihashemi is an accomplished professional in electrical engineering, specializing in electrical machines and drives. With a Ph.D. in Electrical Machines and Drives, Morteza has dedicated his career to advancing the field through innovative research, teaching, and industry contributions. He is the founder of Electro20, showcasing entrepreneurial prowess and technical expertise. His research focuses on torque ripple reduction, coilgun simulations, and other groundbreaking projects that push the boundaries of engineering. Morteza’s teaching experience spans multiple institutions, reflecting his passion for sharing knowledge and mentoring future engineers. A skilled user of advanced engineering tools like Ansoft Maxwell, MATLAB, and Psim, he seamlessly bridges the gap between theoretical concepts and practical applications. Morteza’s achievements highlight his commitment to excellence, innovation, and impactful contributions to the field of electrical engineering.

Professional profiles📖

Google Scholar

Education 🎓

S. Morteza Banihashemi’s academic journey is marked by exceptional achievements in electrical engineering. He holds a Bachelor’s, Master’s, and Ph.D. in Electrical Machines and Drives, which form the cornerstone of his expertise. His undergraduate education provided a solid foundation in engineering principles, while his master’s degree allowed him to delve deeper into specialized areas of electrical machines. His doctoral research showcased innovative solutions to complex challenges, such as torque ripple reduction and advanced coilgun simulations. This comprehensive academic background not only demonstrates his intellectual rigor but also equips him with the knowledge to tackle real-world engineering problems. Morteza’s commitment to lifelong learning is evident in his continuous pursuit of excellence, and his academic qualifications serve as a testament to his dedication to the field.

Work Experience💼

S. Morteza Banihashemi boasts a rich professional background encompassing academia and industry. As the founder of Electro20, he has demonstrated entrepreneurial vision and technical leadership, driving projects that blend innovation with practical engineering solutions. His teaching roles at multiple institutions highlight his commitment to knowledge dissemination, where he has mentored students in electrical machines and advanced engineering concepts. In the industry, he has worked on diverse projects, contributing to the design, simulation, and optimization of electrical drives and machines. Proficiency in cutting-edge tools like MATLAB, Psim, and Ansoft Maxwell underscores his technical adaptability. His ability to bridge theoretical understanding with hands-on application has been instrumental in solving complex engineering challenges. Morteza’s diverse experiences reflect a dynamic career dedicated to advancing electrical engineering while fostering collaboration between academic and industrial domains.

Awards and Honors

S. Morteza Banihashemi’s career is adorned with numerous accolades that highlight his contributions to electrical engineering. He has received recognition for his innovative research, including awards for projects like torque ripple reduction and advanced coilgun simulations. His role as the founder of Electro20 earned him accolades for entrepreneurial excellence and leadership in driving technological advancements. Additionally, his teaching achievements have been acknowledged with commendations for his impactful mentorship and dedication to student success. Morteza’s expertise in simulation tools and modern engineering practices has earned him industry accolades, further validating his technical proficiency. While his recognition is noteworthy, he aspires to elevate his profile by pursuing international awards and collaborations, ensuring his contributions reach a global audience. These honors underscore Morteza’s dedication to advancing engineering and inspiring others in the field.

Research Focus

S. Morteza Banihashemi’s research focuses on the cutting-edge advancements in electrical machines and drives. Key areas include torque ripple reduction, coilgun simulation, and the optimization of motor performance, reflecting his commitment to solving complex engineering challenges. His work integrates innovative methodologies and advanced tools like MATLAB, Psim, and Ansoft Maxwell to enhance the efficiency and reliability of electrical systems. Morteza’s research bridges the gap between theory and application, ensuring practical relevance in modern engineering contexts. His contributions are geared toward reducing energy consumption, improving operational performance, and developing sustainable engineering solutions. Morteza’s research extends beyond technical innovation, aiming to impact the industry by providing scalable and cost-effective solutions. Through interdisciplinary collaborations and global dissemination, his work strives to advance the field of electrical engineering while addressing real-world challenges.

Conclusion✅

S. Morteza Banihashemi is a strong contender for the Best Researcher Award. Their rich blend of academic credentials, industry expertise, and innovative contributions to electrical engineering positions them as a leading figure in their field. Enhancing global collaborations and publishing in high-impact journals will further solidify their standing as a top researcher.

📚Publications to Noted

“Torque ripple reduction using adaptive gain model predictive control for induction motor drives”
Authors: SM Banihashemy, YA Bromi
Citation Year: 2024

“Inductance variations on performance of linear reluctance accelerators and appropriate selecting of projectile to increase launcher performance”
Authors: SA Fazljoo, M Besmi, SA Fazljoo, SM Banihashemi, M Besmi
Citation Year: 2016

MattiaLoppini | Orthopaedics | Best Researcher Award

Assoc. Prof. Dr Mattia Loppini | Orthopaedics | Best Researcher Award

Associate Professor  at Humanitas University/IRCCS Humanitas Research Hospital, Italy

Dr. Mattia Loppini is an accomplished Associate Professor at Humanitas University and IRCCS Humanitas Research Hospital in Milan, Italy. A medical doctor with a PhD in Oncology Orthopaedics, he specializes in hip and knee surgeries, particularly joint replacement procedures. With a strong academic and clinical foundation, Dr. Loppini has dedicated his career to advancing orthopaedic care through teaching, research, and patient care. He has served in progressive academic roles, from Assistant Professor to his current position, and is actively involved in mentoring PhD candidates in applied clinical research. His teaching contributions span undergraduate, graduate, and professional programs, making him a key figure in medical education. Dr. Loppini’s commitment to innovation and excellence in orthopaedics is matched by his dedication to shaping the future of the field through research and mentorship.

Professional profiles📖

ORCID

Scopus Profile

Google Scholar

Education 🎓

Dr. Mattia Loppini’s educational journey exemplifies excellence and dedication to orthopaedics and trauma surgery. He earned his Medical Degree from the University Campus Bio-Medico of Rome in 2009, followed by completing his residency in Orthopaedic and Trauma Surgery in 2015. From 2012 to 2015, he pursued a Doctor of Philosophy (PhD) in Oncology Orthopaedics at the same institution. Dr. Loppini further advanced his expertise by completing an Advanced Training Course in Clinical Epidemiology at Humanitas University in 2017. He began his academic career as an Assistant Professor in 2017, advancing to Associate Professor in 2024. He also obtained the prestigious Scientific National Abilitation for Full Professorship in Locomotor Apparatus Diseases and Rehabilitative Medicine in 2022. Dr. Loppini’s academic qualifications underscore his commitment to advancing knowledge and expertise in orthopaedic medicine.

Work Experience💼

Dr. Mattia Loppini boasts a distinguished career in orthopaedics, combining clinical expertise with academic excellence. Currently, he serves as an Associate Professor in the Department of Orthopaedics and Trauma Surgery at Humanitas University, where he specializes in hip diseases and joint replacement surgery. Since 2017, Dr. Loppini has held various teaching and research positions, including Professor of Orthopaedics and Trauma Surgery and Clinical PhD Supervisor. His role as a tutor in orthopaedics and human anatomy has shaped countless medical professionals. Dr. Loppini has also contributed to the Master’s Degree Program in Nursing and Midwifery Science and the MEDTEC Degree Course. Beyond academia, his clinical practice focuses on advanced hip and knee surgical procedures. A personal tutor since 2008, his career reflects his dedication to mentoring and fostering medical talent.

Awards and Honors

Dr. Mattia Loppini’s dedication to education and clinical excellence has earned him several accolades. Among his notable recognitions is his inclusion in the “Top Teachers” platform, acknowledging his outstanding teaching contributions at Humanitas University. He has also achieved the Scientific National Abilitation for Full Professorship in Locomotor Apparatus Diseases and Rehabilitative Medicine, highlighting his academic and research prowess. Dr. Loppini’s consistent performance as a teacher and mentor has cemented his reputation as a leader in medical education. His work in orthopaedics, particularly in hip and knee surgeries, has garnered respect among peers and students alike. While his awards primarily emphasize teaching, his influence on clinical practices and research is evident, showcasing his holistic impact on the field of orthopaedics.

Research Focus

Dr. Mattia Loppini’s research focuses on advancing surgical techniques and clinical outcomes in hip and knee diseases, with a special interest in joint replacement surgery. His work integrates clinical epidemiology to improve patient care and outcomes in orthopaedic surgeries. During his PhD in Oncology Orthopaedics, Dr. Loppini explored cutting-edge methodologies to address complex orthopaedic conditions. His research contributions extend to applied clinical research, where he supervises PhD candidates in developing innovative solutions for musculoskeletal disorders. He also investigates the role of physical and rehabilitative medicine in improving postoperative recovery. By bridging clinical practice with academic inquiry, Dr. Loppini aims to optimize surgical protocols and rehabilitation strategies. His multidisciplinary approach ensures that his research remains relevant, impactful, and patient-centered.

Conclusion✅

Dr. Mattia Loppini is a highly suitable candidate for the Best Researcher Award, given his strong academic foundation, extensive teaching experience, and significant contributions to clinical and academic orthopaedics. While he has achieved remarkable success, addressing areas such as enhancing research output and global collaborations could further solidify his standing as a leader in his field. His commitment to education, research, and clinical excellence makes him an ideal nominee for this prestigious recognition.

📚Publications to Noted

Identification of preoperative predictive markers of periprosthetic joint infection in presumed aseptic revisions of total hip arthroplasty: a retrospective observational study

Authors: Loppini, M., Bella, L.L., Rocchi, C., Rusconi, R., Grappiolo, G.

Citations: 0

Year: 2025

The international Hip Outcome Tool 12 questionnaire (iHOT-12): an Italian language cross-cultural adaptation and validation

Authors: Randelli, F., Fioruzzi, A., Clemente, A., Di Martino, A., Rivera, F.

Citations: 0

Year: 2024

Leveraging transfer learning for predicting total knee arthroplasty failure from post-operative radiographs

Authors: Corti, A., Galante, S., Rauch, R., Corino, V., Loppini, M.

Citations: 0

Year: 2024

Mid-Term Clinical and Radiographic Results of Complex Hip Revision Arthroplasty Based on 3D Life-Sized Model: A Prospective Case Series

Authors: La Camera, F., Di Matteo, V., Pisano, A., Grappiolo, G., Loppini, M.

Citations: 0

Year: 2024

Machine Learning Prediction Model to Predict Length of Stay of Patients Undergoing Hip or Knee Arthroplasties: Results from a High-Volume Single-Center Multivariate Analysis

Authors: Di Matteo, V., Tommasini, T., Morandini, P., Grappiolo, G., Loppini, M.

Citations: 0

Year: 2024

A new classification to characterize and predict treatment of acetabular bone defects

Authors: Loppini, M., Guazzoni, E., Gambaro, F.M., Morenghi, E., Grappiolo, G.

Citations: 0

Year: 2024

Interleukin-1β Polymorphisms Are Genetic Markers of Susceptibility to Periprosthetic Joint Infection in Total Hip and Knee Arthroplasty

Authors: Granata, V., Strina, D., Possetti, V., Sobacchi, C., Inforzato, A.

Citations: 1

Year: 2024

Clinical and Radiographic Outcomes of Hip Revision Surgery and Cerclage Wires Fixation for Vancouver B2 and B3 Fractures: A Retrospective Cohort Study

Authors: Di Matteo, V., La Camera, F., Carfì, C., Grappiolo, G., Loppini, M.

Citations: 0

Year: 2024

Results of Utilizing Cerclage Wires in the Management of Intraoperative Vancouver B1 Fractures in Primary Total Hip Arthroplasties: A Retrospective Cohort Investigation into Clinical and Radiographic Outcomes

Authors: Rocchi, C., Di Matteo, V., Chiappetta, K., Grappiolo, G., Loppini, M.

Citations: 0

Year: 2024

AI-based hip prosthesis failure prediction through evolutional radiological indices

Authors: Bulloni, M., Gambaro, F.M., Chiappetta, K., Corino, V., Loppini, M.

Citations: 0

Year: 2024

Alexander S. Ovsyannikov | Supramolecular | Best Researcher Award

Samuel Ogundahunsi | Energy Systems Engineering | Best Researcher Award