Dr. Farhad Vahid | Structural Health Monitoring | Best Researcher Award

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Dr. Farhad Vahid | Structural Health Monitoring | Best Researcher Award

Dr at Nutrition and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, Luxembourg. 

Farhad Vahid is a skilled nutrition scientist with extensive experience in research and academia. Currently, he serves as a Postdoctoral Researcher at the Luxembourg Institute of Health (LIH). He holds a Ph.D. in Nutrition Sciences from Shahid Beheshti University of Medical Sciences, Tehran, Iran. His research focuses on nutrition and inflammation, nutritional epidemiology, and cardiometabolic disorders. He has published over 100 peer-reviewed articles and has an H-index of 24. Vahid has also supervised several graduate students and participated in various research projects. He is a member of the editorial board of “Nutrition and Metabolism” and has reviewed articles for several journals. 🌟

Professional Profile

ORCID

Education🎓

– Ph.D. in Nutrition Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (2017)- Master of Sciences ((link unavailable)) in Nutrition Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (2012)- Bachelor of Sciences ((link unavailable)) in Nutrition Sciences, Tabriz University of Medical Sciences, Tabriz, Iran (2008)- Pharmacy Technician Short Learning Programme, Shahid Beheshti University of Medical Sciences, Tehran, Iran (2011)

Experience 💼

– Postdoctoral Researcher, Nutrition and Health Research Group, Department of Precision Health, Luxembourg Institute of Health (LIH), Luxembourg (2020-present)- Assistant Professor in Nutrition Sciences, Faculty Member at Arak University of Medical Sciences, Arak, Iran (2018-2020)- Visiting Researcher, Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada (2024

Research Interests🔍

– Nutrition and inflammation- Nutritional epidemiology- Cardiometabolic disorders (obesity, metabolic syndrome)- Nutrition and cancer- Macro and micro (non)nutrients metabolism and biochemistry- Molecular cell biology

Awards🏆

– Grant recipient, Luxembourg National Research Fund (FNR) (2023)- Young researchers Grant, Iran’s Health and Medical Education Ministry (2019)- Assistantship Grant, Arak University of Medical Sciences (2017)- Ph.D. scholarship, Shahid Beheshti University of Medical Sciences (2014)

Top Noted Publications📄

1. Thermal, structural, and mechanical properties of carbon fiber reinforced PLA composites: Influence of FDM print speed and comprehensive analysis. 📰
2. Anodization of Ni-rich NiTi SMA for enhancing green hydrogen production. 💡

 

Assoc. Prof. Dr Besey Ören | Structural Health Monitoring | Best Researcher Award

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Assoc. Prof. Dr Besey Ören | Structural Health Monitoring | Best Researcher Award 

Istanbul, University of health Science, Turkey

Assoc. Prof. Dr. Besey Ören is a distinguished academic and healthcare professional with a strong background in internal medicine nursing, intensive care nursing, emergency nursing, nephrology nursing, and cardiology nursing. With over three decades of experience, Ören has established herself as a leader in her field, serving as a faculty member, department head, and editor. Her dedication to nursing education and research has earned her numerous awards and honors, including the title of Associate Professor in Internal Medicine Nursing.

Profile

scopus

🎓 Education

Ören graduated with honors from Florence Nightingale School of Nursing in 1990. She completed her master’s degree in 1997 and her doctorate in 2010. Ören received the title of Assistant Professor in 2014 and Associate Professor in 2021. Her educational background has provided a solid foundation in nursing principles and prepared her for a career in research and education. Ören has also participated in various certificate programs, including Intensive Care Nursing courses in the USA.

👨‍🔬 Experience

Ören has accumulated extensive experience in nursing education, research, and practice. She has worked as a nurse, head nurse, faculty member, and department head at various institutions, including Istanbul University and Health Sciences University. Ören has served as the President of the Turkish Intensive Care Nurses Association and has been involved in numerous professional associations. Her experience has equipped her with a deep understanding of nursing principles and practices.

🔍 Research Interest

Ören’s research focus lies in internal medicine nursing, intensive care nursing, emergency nursing, nephrology nursing, and cardiology nursing. She has published numerous papers and book chapters on these topics and has presented at international and national conferences. Ören’s research aims to improve nursing practices and patient outcomes.

Awards and Honors 🏆

Ören has received numerous awards and honors for her contributions to nursing education and research. She has been recognized for her expertise in intensive care nursing and has served as an editor and scientific board member for various journals. Ören has also received scholarships for her research and has been involved in various projects and grants.

📚 Publications

“Investigation of the Effect of Sleep Hygiene Training on Obstructive Sleep Apnea Symptoms, Fatigue, and Sleep Quality In Patients With Atrial Fibrillation”

Conclusion

Assoc. Prof. Dr. Besey Ören’s extensive experience, leadership roles, research productivity, editorial and scientific contributions, and professional service make her a strong candidate for the Best Researcher Award. While there are areas for improvement, Ören’s achievements and contributions to nursing education and research demonstrate her qualifications for this award.

Zicheng Xin | intelligentialization | Best Researcher Award

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Dr. Zicheng Xin | intelligentialization | Best Researcher Award

postdoctor, University of Science and Technology Beijing, China

Zicheng Xin is a renowned researcher and visiting professor at the Korea Invention Academy. He is affiliated with the University of Science and Technology Beijing (USTB) and has made significant contributions to the field of metallurgical engineering. His research focuses on metallurgical process engineering, intelligence, and simulation.

Profile

scopus

Education 🎓

Ph.D. in Metallurgical Engineering, State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB) (2018-2022)

Experience 🧪

Visiting Professor, Korea Invention Academy (current)  Researcher, State Key Laboratory of Advanced Metallurgy, USTB (current)

Awards & Honors🏆

“Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award — Golden Scientist Grand Award (Second Place, International Federation of Inventors’ Associations, 2023) “Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award— Science & Technology Grand

Research Focus 🔍

Metallurgical process engineering and intelligence  Simulation and optimization of metallurgical process

Publications📚

1. Analysis of multi-zone reaction mechanisms in BOF steelmaking and comprehensive simulation [J]. Materials, 2025, 18(5): 1038. – Zicheng Xin, Qing Liu, Jiangshan Zhang, et al.
2. Modeling of LF refining process: a review [J]. Journal of Iron and Steel Research International, 2024, 31(2): 289-317. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
3. Explainable machine learning model for predicting molten steel temperature in LF refining process [J]. International Journal of Minerals, Metallurgy and Materials, 2024, 31(12): 2657-2669. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
4. Predicting temperature of molten steel in LF refining process using IF-ZCA-DNN model [J]. Metallurgical and Materials Transactions B, 2023, 54(3): 1181-1194. – Zicheng Xin, Jiangshan Zhang, Junguo Zhang, et al.
5. Predicting the alloying element yield in a ladle furnace using principal component analysis [J]. … – Zicheng Xin, Jiangshan Zhang, Yu Jin, et al.

Conclusion

Zicheng Xin’s academic excellence, research focus, and international recognition make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make significant contributions to the field of metallurgy.

Farhad Bayat | fault-tolerant control | Best Researcher Award

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Dr. Farhad Bayat | fault-tolerant control | Best Researcher Award

University professor, university of Zanjan, Iran

Farhad Bayat is a renowned Iranian researcher and academician in the field of control systems and electrical engineering. He has made significant contributions to the development of control systems, particularly in the areas of model predictive control, nonlinear control systems, and renewable energy systems. His work has been widely published in top-tier journals and conferences.

Profile

scopus

Education 🎓

Farhad Bayat received his B.S. in Electrical Engineering from Zanjan University (1999-2003). He then pursued his MSc in Electrical Engineering at Iran University of Science & Technology (2003-2006). Bayat completed his Ph.D. in Electronic Engineering at Iran University of Science & Technology (2006-2011). His academic excellence earned him top ranks in his undergraduate and graduate studies.

Experience 🧪

Farhad Bayat has accumulated extensive research experience in various institutions. He worked at Iran Tele Communication Research Center and Iran University of Science & Technology (2005-2006). Bayat was involved in designing a hybrid simulator for hardware-in-the-loop simulations of satellite attitude determination and control subsystems. He has also contributed to projects on wind turbine control, automotive control systems, and aerospace systems.

Awards & Honors🏆

Farhad Bayat has received numerous awards and honors for his outstanding contributions to science and engineering. Some notable recognitions include being selected as one of the top 2% of scientists in the world in 2024, assessed by Stanford University. He also received the Award for the best researcher in the field of engineering in Zanjan province in 2020.

Research Focus 🔍

Farhad Bayat’s research focuses on control systems, particularly in model predictive control, nonlinear control systems, and renewable energy systems. His work explores the development of novel control strategies for complex systems, including wind turbines, automotive systems, and aerospace systems. Bayat’s research aims to improve the efficiency, stability, and reliability of these systems.

Publications📚

1. 📊 An MPC-based fault tolerant control of wind turbines in the presence of simultaneous sensor and actuator faults.
2. 🚀 Robust non-aggressive three-axis attitude control of spacecraft: Dynamic sliding mode approach.
3. 💻 Optimal congestion management in network routers subject to constraints, disturbances, and noise using the model predictive control approach.
4. 🤖 LMI-based Luenberger observer design for uncertain nonlinear systems with external disturbances and time-delays.
5. 🦾 A nonsingular terminal sliding algorithm for swing and stance control of a prosthetic leg robot.
6. 💡 Sample-data output-feedback parameter variable control of glucose for type 1 diabetes mellitus patients.
7. 💻 Sampled-Data Linear Parameter Variable Approach for Voltage Regulation of DC–DC Buck Converter.
8. 🤖 Barrier function-based adaptive nonsingular terminal sliding mode control technique for a class of disturbed nonlinear systems.
9. 🚀 Nonsingular terminal sliding mode control for micro-electromechanical gyroscope based on disturbance observer: Linear matrix inequality approach.
10. 🚗 Robust Performance Improvement of Lateral Motion in Four-Wheel Independent-Drive Electric Vehicle.
11. 📊 Model Predictive Control: Theory and Applications.
12. 📚 Theory of automatic control systems.
13. 🤖 Toolbox developed for MATLAB: MPC3S: MPC in 3 Steps Toolbox.
14. 📊 Model Predictive Sliding Control for Finite-Time Three-axis Spacecraft Attitude Tracking.
15. 🤖 Composite Nonlinear Feedback Design for Discrete-Time Switching Systems with Disturbances and Input Saturation.
16. 📊 Constrained Linear Parameter-Varying Control using Approximate Multi-Parametric Programming.
17. 📊 Optimal Observer Designing for eMPC.
18. 📊 Two-Stage Observer Based Offset-Free MPC.
19. 📊 On the Performance of Observer-Based Explicit Model Predictive Control.
20. 📊 Design of explicit model predictive control for constrained linear systems with disturbances.
21. 🤖 Flexible Piecewise Function Evaluation Methods Based on Truncated Binary Search Trees and Lattice Representation in Explicit MPC.
22. 📊 Managing time-storage complexity in point location problem: Application to Explicit Model Predictive Control.
23. 📊 Comments on Analytical expression of explicit MPC solution via lattice piecewise-affine function.
24. 📊 Using hash tables to manage time-storage complexity in point location problem: Application to Explicit MPC.
25. 🚀 Global Stabilizing Magnetic Controller for Satellite Attitude Detumbling and Hardware In the Loop Implementation.
26. 📊 Optimal Control of Linear Constrained Systems: Multi-Parametric Programming Approach.
27. 🚀 Artificial Missile Guidance Using On-Line Adaptive Neural Networks.
28. 🤖 An Efficient Algorithm for Clustering of Convex and Non-Convex Data.
29. 🚀 Attitude Control Of Spinning Satellite Subject To Actuators

Conclusion

Dr. Farhad Bayat’s impressive academic background, research excellence, interdisciplinary approach, and leadership skills make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Shangjun Ma | Structural Health Monitoring | Best Researcher Award

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Prof. Shangjun Ma | Structural Health Monitoring | Best Researcher Award

Laboratory director,Northwestern Polytechnical University, China

Shang-Jun Ma is a researcher at Northwestern Polytechnical University, China. Born in 1980, he has made significant contributions to the field of electromechanical actuators and planetary roller screw mechanisms. With over 100 academic papers and 35 invention patents, he is a leading expert in his field.

Profile

scopus

Education 🎓

Shang-Jun Ma received his Ph.D. degree from Northwestern Polytechnical University, China, in 2013. His academic background has provided a solid foundation for his research and professional endeavors.

Experience 🧪

Shang-Jun Ma is currently a researcher at Northwestern Polytechnical University, China. He has undertaken more than 20 national projects, demonstrating his expertise and commitment to his field.

Awards & Honors �

Shang-Jun Ma has won one provincial second prize for technological invention. He has also published the first monograph on “planetary roller screw meshing principle” in the world, showcasing his leadership in his field.

Research Focus 🔍

Electromechanical Actuator (EMA): Investigating the design, development, and application of EMA systems. Planetary Roller Screw Mechanism (PRSM): Exploring the principles, design, and application of PRSM systems.

Publications📚

1. Design and Development of Electromechanical Actuators for Aerospace Applications” 🚀
2. “Planetary Roller Screw Meshing Principle: A Comprehensive Review” 📚
3. “Investigation of PRSM Systems for Industrial Automation” 🤖
4. “Optimization of EMA Systems for Energy Efficiency” 💡
5. “Experimental Study on the Performance of PRSM Systems” 🔧

Conclusion 🏆

Shang-Jun Ma’s impressive academic and research experience, research output, national and international recognition, and interdisciplinary research approach make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Sabum Jung | Smart factory | Best Researcher Award

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Mr. Sabum Jung | Smart factory | Best Researcher Award

Research engineer, Lg energy solution,South Korea

Sabum Jung is a seasoned Data Scientist and Machine Learning Engineer with over 23 years of expertise in predictive modeling, deep learning, and AI-driven optimization. His career spans LG Energy Solution, SK Holdings, and LG Production Engineering Research Institute, where he pioneered AI applications in high-tech manufacturing, including semiconductor, battery, and display industries. A former Military Intelligence Analyst for the U.S. Army, he has authored research papers and books on AI, machine learning, and Industry 4.0. Fluent in English, Korean, and Japanese, he continues to drive AI innovations in industrial applications.

Profile

🎓 Education

Sabum Jung holds a B.A. (3.9/4.5) and an M.S. (4.2/4.5) in Industrial Engineering from Sung Kyun Kwan University, South Korea. His academic journey focused on advanced analytics, AI-driven optimization, and industrial process improvements. His research contributions in artificial intelligence, reliability engineering, and digital transformation have shaped his expertise in machine learning, deep learning, and predictive modeling, positioning him as a leader in AI applications for manufacturing and industrial systems.

💼 Experience

Currently a Data Scientist at LG Energy Solution, Sabum Jung leads AI-driven innovations in virtual metrology, predictive maintenance, and defect analysis. Previously at SK Holdings, he optimized renewable energy predictions, semiconductor material discovery, and AI-powered industrial operations. His 20-year tenure at LG Production Engineering Research Institute saw groundbreaking work in machine learning for smart appliances, battery systems, and industrial automation. His early career as a Military Intelligence Analyst in the U.S. Army honed his analytical prowess, setting the foundation for his AI-driven problem-solving approach.

🏆 Awards & Honors

Sabum Jung has been recognized for his contributions to AI, machine learning, and industrial automation. His accolades include leadership in AI-driven manufacturing optimization, predictive maintenance, and reinforcement learning applications. He has received industry recognition for his research and innovation in deep learning, active learning, and process optimization in high-tech sectors, further cementing his influence in AI-driven industrial advancements.

🔬 Research Focus:

Sabum Jung specializes in AI applications for high-tech manufacturing, focusing on predictive maintenance, virtual metrology, and defect detection. His research spans deep learning, reinforcement learning, and AI-driven industrial process optimization. Notable contributions include renewable energy prediction, semiconductor material discovery, and advanced statistical modeling. His expertise in machine learning has been instrumental in developing AI solutions for smart manufacturing, Industry 4.0, and digital transformation.

Publications

Recent progress of LG PDP: High efficiency & productivity technologies Citations1

Conclusion

Sabum Jung is a strong candidate for the Best Researcher Award, given his vast industry experience, research excellence, and technological contributions to AI and machine learning in manufacturing. Enhancing academic collaborations and increasing research dissemination could further elevate his impact and recognition.

Jianzhi Li | Fiber sensing | Best Researcher Award

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Prof. Jianzhi Li | Fiber sensing | Best Researcher Award

 professor at Shijiazhuang Tiedao University,  china

Jianzhi Li is a Professor at the Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University, specializing in fiber sensing technology and structural health monitoring. 🌉 She earned her Ph.D. from Beijing Jiaotong University and later held an academic post at Osaka University, Japan. 🚄 Her work focuses on enhancing railway infrastructure safety through innovative sensing techniques. 📚 Jianzhi has published numerous SCI papers and authored several books. 🚀 Her groundbreaking contributions in the field have earned her multiple awards, cementing her status as a leading researcher in fiber optics and structural health.

Publication Profile

orcid

Education 🎓

Jianzhi Li earned her Ph.D. in Structural Diagnosis and Optimization from Beijing Jiaotong University in 2009. 📚 Her doctoral studies focused on identifying and solving complex structural challenges in engineering. 🌏 She further broadened her academic horizons by serving as an Associate Professor at Osaka University in Japan between 2014 and 2015. 🏛️ This role allowed her to collaborate internationally and enhance her expertise in fiber optic sensing technology. ✨ Throughout her education, she gained deep insights into the intersections of structural health and smart material technologies, which now form the cornerstone of her research endeavors.

Experience 🏢 

Jianzhi Li currently serves as a Professor at Shijiazhuang Tiedao University’s Key Laboratory of Structural Health Monitoring and Control. 🚇 She has led several high-impact projects, particularly in fiber optic sensing and structural health monitoring for railways and bridges. 🌉 During 2014–2015, she was an Associate Professor at Osaka University, contributing to international collaborations. 📊 With over 20 patents to her name and numerous published works in prestigious journals, her experience spans industry-relevant research and cutting-edge academic advancements. 💼 She also leads the China National Key Research and Development Program, contributing to the enhancement of railway infrastructure safety.

Awards and Honors  🏆

Jianzhi Li has received numerous awards, including the First Prize for Technological Invention in Hebei Province. 🌟 She was recognized with the “Best Paper” award at the 6th International Conference on Optoelectronic Sensing. 🎖️ Her outstanding research contributions have earned her prestigious honors such as the Hebei Outstanding Youth Talent Award and a place in the Hebei 333 Talent Program. 📜 She has authored three books, including an internationally recognized English-language textbook, and her innovative work in fiber sensing and structural health has placed her among the top researchers in China. 🌍 Her membership in the Chinese Optical Society and other professional groups reflects her impact on the scientific community.

Research Focus🔬

Jianzhi Li’s research is centered on fiber optic sensing technologies and structural health monitoring. 🚇 Her work addresses critical infrastructure challenges, including heavy-duty railway bridges and roadbeds. 🔧 She has been instrumental in advancing fiber-based sensing systems for monitoring railway hazards and enhancing safety through predictive detection. 🛰️ Her research extends to smart materials and their applications in dynamic environments, focusing on the early detection of structural anomalies. 🚀 Jianzhi’s contributions are practical and forward-looking, pushing the boundaries of electromagnetic and optical sensing in engineering, leading to the development of more robust and resilient civil structures.

Publication  Top Notes

Evaluation of Concrete Carbonation Based on a Fiber Bragg Grating Sensor
📅 Published: December 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi15010029
Contributors: Jianzhi Li, Haiqun Yang, Handong Wu

This paper introduces a novel approach for monitoring concrete carbonation using Fiber Bragg Grating (FBG) sensors, a crucial method for assessing structural durability.

A Long-Term Monitoring Method of Corrosion Damage of Prestressed Anchor Cable
📅 Published: March 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi14040799
Contributors: Jianzhi Li, Chen Wang, Yiyao Zhao

This research presents a long-term monitoring technique for detecting corrosion in prestressed anchor cables, improving infrastructure safety and longevity.

A Combined Positioning Method Used for Identification of Concrete Cracks
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121479
Contributors: Jianzhi Li, Bohao Shen, Junjie Wang

This paper discusses a hybrid method for accurately identifying concrete cracks, advancing structural health monitoring.

A Spiral Distributed Monitoring Method for Steel Rebar Corrosion
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121451
Contributors: Jianzhi Li, Yiyao Zhao, Junjie Wang

Conclusion

Professor Jianzhi Li stands out as a strong candidate for the Best Researcher Award due to her exemplary research contributions, innovative spirit, and recognized leadership in the field of fiber sensing and structural health monitoring. Her achievements reflect not only her commitment to advancing science and technology but also her potential to further influence the field. With targeted improvements in professional engagement and industry collaboration, she could amplify her impact even more.

Dr James Brasic | Structural Health Monitoring | Best Researcher Award

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Dr James Brasic | Structural Health Monitoring | Best Researcher Award

Dr James Brasic, Johns Hopkins University School of Medicine, United States

Dr. James Brasic is a renowned figure in the field of psychiatry and neurology. He is affiliated with the Johns Hopkins University School of Medicine, where he has contributed significantly to research and clinical practice. Dr. Brasic’s expertise lies in the intersection of psychiatry, neurology, and imaging sciences, particularly in the areas of neurodegenerative disorders and addiction. His work has been instrumental in advancing our understanding of the brain’s mechanisms in these complex conditions, leading to improved diagnostic and treatment approaches. Dr. Brasic is widely respected for his comprehensive approach to patient care, integrating cutting-edge research findings with compassionate clinical practice. His dedication to advancing the field of psychiatry and neurology has made him a respected leader and mentor in his field.

 

Professional Profiles:

 

Education:

Dr. James Brasic is a highly accomplished individual with a diverse educational background spanning multiple disciplines. He earned his Bachelor of Arts cum laude in Medical Science from Boston University, followed by a Doctor of Medicine in Medicine from the same institution. Dr. Brasic then pursued his passion for music, obtaining a Master of Arts in Music (composition) from Washington University in St. Louis, MO. His academic journey continued with a Master of Public Health in Sociomedical Sciences and a Master of Science in Biostatistics, both from Columbia University in New York, NY. Dr. Brasic further honed his expertise with a Master of Arts in Statistics, also from Columbia University. His dedication to learning led him to pursue post-baccalaureate study in Mathematics at New York University. Dr. Brasic has also engaged in professional development, completing training in Advanced Grant Writing through the Radiological Society of North America and the Mid-Atlantic Region NSF I-Corps Hub through Johns Hopkins Technology Ventures. This diverse educational and training background speaks to Dr. Brasic’s deep commitment to academic excellence and interdisciplinary knowledge.

Postdoctoral Training:

Dr. James Brasic has an extensive and varied professional background in the medical field, with a focus on neurology, psychiatry, and radiology. He began his career as a Straight Medicine Intern in Internal Medicine at the University of Alabama Hospital in Birmingham, AL, followed by residencies in Neurology at the Los Angeles County+University of Southern California Medical Center in Los Angeles, CA, and Psychiatry at Barnes-Jewish Hospital in St. Louis, MO. Dr. Brasic further specialized in Child Psychiatry with a residency at New York-Presbyterian/Columbia University Irving Medical Center in New York, NY. Throughout his career, he has held positions as a Faculty Research Fellow in Psychiatry/Clinical Developmental Neurobiology at Mount Sinai Hospital and New York University Langone Health in New York, NY. Dr. Brasic’s expertise also extends to Radiology and Radiological Science/Nuclear Medicine and Molecular Imaging, where he served as a Clinical and Research Fellow at Johns Hopkins University School of Medicine in Baltimore, MD, from 1999 to 2007. This rich and diverse professional experience underscores Dr. Brasic’s dedication to advancing medical knowledge and his commitment to providing comprehensive care in multiple specialties.

Teaching Activities:

Dr. James Brasic’s dedication to education and teaching is evident throughout his career, where he has played a significant role in shaping the knowledge and skills of medical students, fellows, and researchers. His teaching experience spans various prestigious institutions and covers a wide range of topics, including medical school curriculum, neuropsychiatric evaluation, and brain positron emission tomography research. Dr. Brasic has been involved in teaching at the Boonshoft School of Medicine, the Developmental Neurobiology Unit at NYCHH/Bellevue and New York University Langone Health, New York-Presbyterian/Columbia University Irving Medical Center, and Johns Hopkins University School of Medicine. His commitment to education extends beyond traditional classroom settings, as seen in his mentorship of projects such as wearable sensors for diagnosing Parkinson’s disease at Johns Hopkins University School of Medicine. Dr. Brasic’s passion for teaching and research has made a lasting impact on the next generation of medical professionals and underscores his status as a respected educator in his field.

Award and Honor:

Dr. James Brasic’s exceptional academic and professional achievements reflect his commitment to excellence and leadership in multiple fields. He completed an Honors Accelerated Six-Year Program in Liberal Arts and Medical Education at Boston University, where he also earned his A.B. cum laude from the College of Arts and Sciences. Throughout his career, he has received numerous awards and recognitions, including the Phi Delta Epsilon Scholarship Loan from Boston University School of Medicine and Faculty Recognition Awards for superior teaching performance in psychiatry from the Department of Psychiatry at Wright State University School of Medicine. Dr. Brasic’s commitment to leadership and diversity is evident in his participation in the Junior Faculty Leadership Program Cohort #3 at Johns Hopkins University School of Medicine and his receipt of the Johns Hopkins Diversity Recognition Award. His contributions extend beyond academia, as seen in his achievements in the arts, including awards for filmmaking and recognition from the Missouri State Council of the Arts and the Music Performance Trust Fund. Dr. Brasic’s dedication to scholarship and professional development is further highlighted by his accolades from prestigious organizations such as the American Academy of Child and Adolescent Psychiatry, the Society of Nuclear Medicine, and Toastmasters International. His ongoing commitment to excellence is demonstrated by his recent Best Paper Award at the International Electronic Conference on Clinical Medicine and his membership in Sigma Xi from 2023 to 2028, showcasing his continuous pursuit of knowledge and achievement.

Publications Top Notes:

  • Istaroxime for Patients with Acute Heart Failure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

    Corrigendum to “Feasibility of virtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson’s disease” [MethodsX 11 (2023) 102230](S2215016123002273)(10.1016/j.mex.2023.102230)

    Feasibility of virtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson’s disease

    A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments

    Dataset of quality assurance measurements of rhythmic movements