Assoc. Prof. Dr. Aydan Orscelik | Medicine | Best Researcher Award

Posted on by Academic achievements

Assoc. Prof. Dr. Aydan Orscelik | Medicine | Best Researcher Award

Assoc. Prof. Dr. Aydan Orscelik | Medicine – Saglik Bilimleri University, Turkey

Dr. Aydan Örsçelik is a committed academic and clinical researcher in the field of sports medicine, with a particular focus on regenerative therapies and non-invasive treatments for musculoskeletal conditions. He currently serves at the Gülhane Faculty of Medicine, University of Health Sciences, Turkey. Known for his hands-on approach in both clinical practice and academic mentorship, Dr. Örsçelik’s work bridges the gap between research and patient care. His research is particularly focused on prolotherapy, platelet-rich plasma treatments, and the rehabilitation of chronic joint and spine-related conditions, contributing steadily to advancements in his field.

Profile:

Orcid | Scopus | Google Scholar

Education:

Dr. Örsçelik completed his foundational medical education in Turkey and further specialized in sports medicine, focusing on movement disorders and non-operative injury management. His educational pathway reflects a commitment to lifelong learning and evidence-based practice. This academic journey enabled him to establish a research identity that combines biomechanics, rehabilitation, and molecular regenerative therapies, particularly in musculoskeletal health.

Experience:

Over the years, Dr. Örsçelik has accumulated considerable experience as both a practicing sports medicine physician and an academic researcher. He has worked in multidisciplinary settings, collaborating with orthopedic surgeons, physiatrists, and rehabilitation specialists. In his academic role, he has contributed to curriculum development, supervised students, and participated in several clinical trials. His experience in both research and real-world practice gives him a balanced perspective on the development and application of innovative medical treatments.

Research Interests:

Dr. Örsçelik’s main research interests include regenerative injection therapies such as prolotherapy using hypertonic dextrose, platelet-rich plasma (PRP), and extracorporeal shock wave therapy (ESWT). His work primarily targets chronic musculoskeletal disorders, sports injuries, and post-surgical recovery failures. He is also interested in athlete performance metrics, obesity-related functional decline, and the broader effects of lifestyle interventions in musculoskeletal health. His research frequently explores biologically compatible treatments aimed at minimizing surgical intervention.

Awards & Recognition:

While formal awards are not explicitly listed, Dr. Örsçelik’s academic impact is demonstrated through a solid citation record and sustained co-authorship in clinical and academic publications. With nearly 300 citations and an h-index of 10, his work is gaining increasing visibility in both national and international platforms. His collaborative studies and clinical insights are frequently cited in research concerning prolotherapy and sports rehabilitation, reflecting his reputation as a credible and reliable contributor in his field.

Selected Publications:

📘 Dextrose injections for failed back surgery syndrome: a consecutive case series – European Spine Journal, 2019 — Cited by 35

🧪 Dextrose solution used for prolotherapy decreases cell viability and increases gene expressions of angiogenic and apoptotic factors – Gülhane Medical Journal, 2018 — Cited by 29

🏃 The effects of prolotherapy in recreational athletes with patellofemoral pain syndrome – Journal of Experimental & Integrative Medicine, 2016 — Cited by 29

🦴 Treatment of osteoarthritis secondary to developmental dysplasia of the hip with prolotherapy vs. exercise control – Medical Science Monitor, 2020 — Cited by 19

💥 The Efficacy of Extracorporeal Shock Wave Therapy for Chronic Coccydynia – Medical Principles and Practice, 2020 — Cited by 17

💉 The effectiveness of prolotherapy on failed rotator cuff repair surgery – Turkish Journal of Physical Medicine & Rehabilitation, 2019 — Cited by 15

🧍 Is 5% dextrose prolotherapy effective for radicular low back pain? – Gülhane Tıp Dergisi, 2019 — Cited by 14

Conclusion:

Dr. Aydan Örsçelik is a promising and impactful researcher in the area of regenerative and non-surgical treatments in sports medicine. His academic consistency, growing citation metrics, and practical experience make him a well-rounded candidate for the Best Researcher Award. Through his contributions to prolotherapy and pain management, he is actively shaping clinical practices and improving patient outcomes in musculoskeletal health. With further international collaborations and high-impact publications, Dr. Örsçelik has the potential to become a leading global voice in his domain.

 

 

Revathi | Healthcare | Best Researcher Award

Posted on by Academic achievements

Dr. Revathi | Healthcare | Best Researcher Award

Assistant Professor at Sona College of Technology, India

Dr. Revathi T.K. is an Assistant Professor in the Department of Computer Science and Engineering at Kongunadu College of Engineering and Technology, affiliated with Anna University, Chennai. With a deep-rooted interest in Information and Communication Engineering (ICE), Dr. Revathi completed her Ph.D. from Sona College of Technology, Salem, under the supervision of Dr. B. Sathiyabhama. Over the years, she has made significant contributions to the field, specializing in machine learning, cardiovascular disease prediction, and deep learning. Her academic journey has been marked by several accolades and a strong research portfolio.

Profile:

Google Scholar

Education:

Dr. Revathi T.K. holds a Ph.D. in Information and Communication Engineering (ICE) from Sona College of Technology, Salem, where her research was supervised by Dr. B. Sathiyabhama, with the thesis focusing on advanced machine learning techniques in healthcare. She completed her Master of Engineering (M.E.) in Computer Science and Engineering from Muthayammal Engineering College, Rasipuram, with distinction and a CGPA of 9.01. Prior to that, she earned her Bachelor of Engineering (B.E.) degree in the same field from Muthayammal Engineering College, achieving 81%. She also completed her schooling at Government Higher Secondary School, Namagiripettai, with top marks in both the HSC and SSLC exams, which laid a strong foundation for her academic pursuits.

Experience:

Dr. Revathi’s professional career spans over a decade, beginning as a Lecturer at Muthayammal Engineering College from June 2010 to May 2013. She then served as an Assistant Professor at Kongunadu College of Engineering and Technology from June 2013 to May 2018. Since August 2020, Dr. Revathi has been an Assistant Professor at Kongunadu College of Engineering and Technology, continuing to contribute to the field of engineering education and research. Her roles have included teaching core subjects, mentoring students, and guiding research, with an emphasis on integrating industry-relevant skills and technological advancements into the curriculum.

Research Interests:

Dr. Revathi’s research interests lie primarily in the domains of machine learning, deep learning, and healthcare applications, particularly in predictive models for cardiovascular diseases and other health-related issues. She has worked extensively on applying deep learning techniques to medical imaging, especially in retinal fundus images and coronary angiography, to diagnose conditions like cardiovascular disease and Parkinson’s disease. Her work also extends to the development of intelligent models for disease prediction, with a focus on improving diagnostic accuracy and efficiency using state-of-the-art techniques in artificial intelligence.

Awards:

Dr. Revathi has been recognized for her outstanding contributions to both academia and research. She was honored as a ‘Wipro Certified Faculty’ in 2019 by Wipro Technologies and received multiple awards for exceptional academic performance, including the Exceptional Performer Award for achieving 95% in the subject ‘Design and Analysis of Algorithms’. Furthermore, she has been acknowledged for her contributions to achieving 100% academic results in various subjects like ‘Software Quality Assurance’ and ‘User Interface Design’. Dr. Revathi was also awarded the Muthayammal Academic Award for excellent performance in the ‘Client Server Computing’ subject, and the Discipline Star Award from NPTEL.

Publications:

Dr. Revathi has authored several impactful research publications, including notable works such as:

  1. Revathi, T.K., Sathiyabhama, B., Kaliraj, S. et al. Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using Improvised Deep Belief Network (IDBN), BMC Cardiovascular Disorders, 2025.

  2. A Machine Learning Approach for Predicting Parkinson’s Disease Using Big Data, Harish Reddy Gantla et al., Recent Advances in Management and Engineering, CRC Press, 2024.

  3. Revathi, T.K., Sathiyabhama, B., Vidhushavarshini S., and Seshathiri D. An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction, Diagnostics, 2024.

  4. Revathi, T.K., Sathiyabhama, B., Sankar, S. et al. Diagnosing Cardiovascular Disease (CVD) using Generative Adversarial Network (GAN) in Retinal Fundus Images, Annals of the Romanian Society for Cell Biology, 2021.

  5. Revathi, T.K., Sathiyabhama, B., Sankar, S. A Deep Learning based Approach for Diagnosing Coronary Inflammation, Annals of the Romanian Society for Cell Biology, 2021.

Conclusion:

Dr. Revathi T.K. stands as a prominent academician and researcher in the field of Computer Science and Engineering, with a strong focus on artificial intelligence applications in healthcare. Her work has earned her several prestigious awards, and she has a proven track record of publishing in high-impact journals and contributing to the academic community. Dr. Revathi’s dedication to advancing both her students’ education and her research in machine learning for healthcare continues to inspire and lead by example, reinforcing her commitment to bridging the gap between technology and medical sciences for societal benefit.

Julien Delaunay | Healthcare | Best Researcher Award

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Dr. Julien Delaunay | Healthcare | Best Researcher Award

Dr. Julien Delaunay | Healthcare -Researcher in AI at Top Health Tech, Spain

Delaunay Julien is an accomplished researcher in the field of computer science, particularly known for his contributions to artificial intelligence (AI) and explainable machine learning models. His academic and professional journey spans multiple prestigious institutions across Europe and Canada. With a keen interest in making complex AI systems more interpretable, Julien has established himself as an expert in developing techniques that aim to enhance the transparency and trustworthiness of AI models, especially in natural language processing (NLP). His expertise is recognized globally through his publications, conference talks, and contributions to peer-reviewed journals. As an advocate for responsible AI, Julien actively engages in teaching, mentoring, and collaborative projects that bridge the gap between AI research and real-world applications. His passion for the field, combined with a commitment to advancing the next generation of AI researchers, makes him a leading figure in his area of study.

Profile:

Orcid

Education:


Julien’s academic background reflects his dedication to mastering and advancing the field of computer science. He completed his Ph.D. in Computer Science from Inria and Rennes 1 University in France (2020–2023), with guidance from renowned advisors in the field. His research during this time focused on AI explainability, particularly the development of novel counterfactual explanation techniques. Prior to his Ph.D., Julien completed both his Master’s in Computer Science at Rennes 1 University and Sherbrooke University in Canada, where he specialized in artificial intelligence, data mining, and parallel programming. His undergraduate education at Rennes 1 University further solidified his foundation in object-oriented programming and web technologies. Through this extensive educational journey, Julien has developed a robust understanding of both the theoretical and practical aspects of computer science, making him an expert in machine learning and its interpretability.

Experience:


Julien has accumulated a wealth of professional experience in both academic and research settings, with key roles at prestigious institutions across Europe. His most recent position is as a researcher in computer science at the Top Doctors Group in Barcelona, Spain (2024–Present), where he continues his work on AI explainability. Prior to this, he held various academic positions, including graduate teaching assistant at Rennes 1 University and Institut Agro in France, and visiting researcher at Aalborg University in Denmark (2022–2023). His professional career began with multiple internships at Inria in Rennes, where he explored the intersection of machine learning and AI transparency. In addition to his academic roles, Julien has been actively involved in mentoring students and has presented at various international conferences, further establishing his reputation as a leader in the field.

Research Interest:


Julien’s research focuses on the development and enhancement of AI explainability techniques, particularly for complex machine learning models in natural language processing. He is passionate about making AI systems more transparent and understandable to both experts and non-experts alike. His work includes the development of novel counterfactual explanation techniques and model-agnostic frameworks that allow users to understand the decision-making processes of AI models better. Julien’s interests extend beyond technical innovations; he is deeply engaged in studying the impact of these explanation techniques on users’ trust and comprehension of AI. This research is crucial for promoting ethical AI and ensuring that AI models can be deployed responsibly in real-world applications. His ongoing work explores the adaptation of explanation methods for different user roles, ensuring that AI systems cater to diverse needs in various domains.

Award:


Delaunay Julien’s work has been recognized globally through various awards and nominations, reflecting the significance and impact of his contributions to AI research. His innovative approaches to explainability and interpretability have positioned him as a leading researcher in his field. His research has not only advanced the academic understanding of AI transparency but also contributed to practical applications, making him a strong candidate for the Best Researcher Award. His ability to develop new frameworks and methods in machine learning, alongside his academic leadership and outreach efforts, makes him an exemplary figure deserving of recognition. Julien’s commitment to improving AI accessibility, as well as his dedication to educating and mentoring future generations of researchers, strengthens his eligibility for prestigious awards in the domain of computer science and AI.

Publication:


Julien has authored and co-authored several notable publications, many of which have been well-received by the AI and machine learning research community. His works are frequently cited, contributing to the growing body of literature on AI transparency and explainability. Here are some of his key publications:

  1. Delaunay J., Galárraga L., Largouët C. (2024). Does It Make Sense to Explain a Black Box With Another Black Box? Journal TAL: Explicabilité des modèles de TAL.
    • This paper compares and categorizes counterfactual explanation techniques for textual data, providing a deeper understanding of different counterfactual approaches.
      📘 Cited by: 25+ articles
  2. Delaunay J., Chaffin A. (2023). “Honey, Tell Me What’s Wrong”, Global Explainability of NLP Models through Cooperative Generation. Workshop on Analyzing and Interpreting Neural Networks for NLP at EMNLP 2023.
    • In this publication, Julien validated a novel global model-agnostic explanation technique for textual data.
      📘 Cited by: 15+ articles
  3. Delaunay J., Galárraga L., Largouët C., Van Berkel N. (2023). Adaptation of AI Explanations to Users’ Roles. Workshop on Human-Centered Explainable AI at CHI 2023.
    • This study explores how AI explanations can be adapted based on different user roles, contributing significantly to user-centered AI design.
      📘 Cited by: 10+ articles
  4. Wester J., Delaunay J., De Jong S., Van Berkel N. (2023). On Moral Manifestations in Large Language Models. Workshop on Moral Agent at CHI 2023.
    • The paper investigates the potential misinterpretation of large language models like ChatGPT as moral agents.
      📘 Cited by: 8+ articles
  5. Delaunay J., Galárraga L., Largouët C. (2022). When Should We Use Linear Explanations? International Conference on Information and Knowledge Management (CIKM).
    • This paper introduces the APE framework, which helps determine when linear explanations best approximate the decision boundaries of complex models.
      📘 Cited by: 12+ articles

Conclusion:


Delaunay Julien’s work exemplifies innovation, leadership, and dedication in the field of computer science, specifically in AI explainability. His research has not only advanced theoretical knowledge but also addressed practical challenges in the deployment of AI systems. Julien’s ability to develop novel techniques that enhance the transparency of complex machine learning models has positioned him as a leading figure in his field. His numerous publications, contributions to major conferences, and mentorship roles highlight his influence in shaping the future of AI. Despite opportunities for growth in terms of broader public engagement and application-driven research, Julien’s contributions make him a highly deserving nominee for the Best Researcher Award. His career trajectory shows immense promise, and he is set to continue influencing the AI research landscape for years to come.

Chien-Lung Hsu | Healthcare | Best Researcher Award

Posted on by Academic achievements

Prof. Chien-Lung Hsu | Healthcare | Best Researcher Award

Professor at Chang-Gung University (CGU), Taiwan.

Dr. Chien-Lung Hsu is a distinguished Professor in the Department of Information Management at Chang Gung University (CGU), Taiwan. Additionally, he serves as a Professor at the Graduate Institute of Business and Management and an Adjunct Professor at both Ming-Chi University of Technology and Chang-Gung Memorial Hospital. He received his Ph.D. in Information Management from National Taiwan University of Science and Technology in 2002. Dr. Hsu is the Director of the Ubiquitous Security and Applications Lab and has contributed significantly to research areas such as cryptography, information security, mobile commerce, and IoT. His notable achievements include leading international projects, such as Taiwan-Japan collaborative research on lightweight cryptosystems for IoT-based eHealth. With over 100 international journal publications and several best paper awards, Dr. Hsu is highly regarded in his field. He also holds multiple certifications in cybersecurity, demonstrating expertise as an educator and practitioner in the domain.

Profile Verification

Scopus 

Education

Dr. Chien-Lung Hsu holds a Ph.D. in Information Management from the National Taiwan University of Science and Technology, which he earned in 2002. He also completed an M.S. in Information Management at the same institution in 1997 and received his B.S. in Business Administration in 1995. Dr. Hsu’s academic journey uniquely combines the fields of information management and business administration, providing him with a versatile and interdisciplinary foundation. His doctoral research delved into secure information systems, focusing on developing innovative solutions in cryptography and information security. This work laid the groundwork for his prolific academic and professional career, where he has contributed significantly to advancements in cybersecurity, mobile commerce, digital forensics, and big data technologies. In addition to his studies, Dr. Hsu has mentored numerous students and collaborated on transformative projects that integrate business acumen with cutting-edge information management systems. His educational background continues to influence his impactful research and teaching endeavors.

Experience

Dr. Hsu’s career spans academia, research, and industry collaboration. At Chang Gung University, he has held pivotal roles, including directing advanced programs in IoT, big data, and medical applications. Between 2012 and 2013, he served as a Visiting Professor in the Department of Electrical Engineering and Computer Science at the University of Central Florida (UCF). Dr. Hsu’s leadership includes being a Director of the Chinese Cryptology (CCISA) and Chair of its Membership and Education Promotion Committees. His professional activities also encompass organizing international conferences and symposia, such as the International Security Conference (ISC) and Medical Informatics Symposium in Taiwan. He actively collaborates with Taiwan’s Ministry of Science and Technology, leading cutting-edge research projects in information security and healthcare. His multidisciplinary roles reflect his commitment to integrating technological innovation into societal benefits.

Research Interests

Dr. Chien-Lung Hsu’s research encompasses a wide array of domains, each contributing significantly to the advancement of technology and security. His work in cryptography 🔐 and information security 🛡️ ensures robust mechanisms for safeguarding data across platforms. In mobile commerce 📱 and digital forensics 🔍, he explores innovative solutions to enhance transaction security and forensic investigation methodologies. Dr. Hsu’s focus on healthcare informatics 🏥 integrates secure and efficient data systems to support medical applications. Additionally, his expertise in big data analytics 📊 and the Internet of Things (IoT) 🌐 drives the development of scalable, intelligent, and secure networks for industrial and healthcare use. One of his hallmark contributions is the Taiwan-Japan joint project on lightweight cryptosystems for IoT-based eHealth environments, which emphasizes data integrity and scalability. By adopting an interdisciplinary approach, Dr. Hsu addresses pressing cybersecurity challenges, fostering safer and more reliable digital ecosystems.

Awards and Honors

Dr. Chien-Lung Hsu has received numerous accolades throughout his distinguished career, highlighting his expertise and contributions to the fields of information security and healthcare research. He was honored with the Distinguished Research Award from the Taiwan Ministry of Science and Technology, a testament to his impactful academic and scientific endeavors. Dr. Hsu has also earned multiple Best Paper Awards, including those from eCASE 2010, CISC 2010, JCMIT 2015, and MMHS 2015, showcasing his ability to produce cutting-edge research in highly competitive fields. His dedication and innovation have been further recognized with Research Rewards from Chang Gung University and Chang Gung Memorial Hospital. As a senior member of professional organizations and a certified cybersecurity expert, Dr. Hsu continues to play a pivotal role in advancing Taiwan’s technological landscape. His contributions to academia and industry remain influential and widely celebrated.

Publications

A Hierarchical Blockchain System for Social Economy Services

Authors: Chin, Y.-C.; Hsu, C.-L.; Lin, T.-W.; Tsai, K.-Y.

Year: 2024

Citations: 0

Design and Evaluation of Device Authentication and Secure Communication System with PQC for AIoT Environments

Authors: Chen, Y.-J.; Hsu, C.-L.; Lin, T.-W.; Lee, J.-S.

Year: 2024

Citations: 0

Technological Empowerment for Aging Workforce in Elderly Care Programs: Service Model Design and Development of an Elderly Care Shared Service Platform

Authors: Tsai, T.-H.; Lo, H.-Y.; Wu, S.-L.; Chen, Y.-P.; Hsu, C.-L.

Year: 2024

Citations: 0

ID-Based Deniable Authentication Protocol with Key Agreement and Time-Bound Properties for 6G-Based WBAN Healthcare Environments

Authors: Hsu, C.-L.; Nguyen, A.-T.; Cheng, G.-L.

Year: 2023

Citations: 0

Developing the “Healthcare CEO App” for Patients with Type 1 Diabetes Transitioning from Adolescence to Young Adulthood: A Mixed-Methods Study

Authors: Chiang, Y.-T.; Chang, C.-W.; Yu, H.-Y.; An, C.; Moons, P.

Year: 2023

Citations: 2

BONE+: An AI-Driven Chatbot Platform for Promoting Behavior Change in Bone Health and Osteoporosis Prevention

Authors: Tsai, T.-H.; Hsieh, Y.-S.; Ho, C.-S.; Pei, Y.-C.; Hsu, C.-L.

Year: 2023

Citations: 0

Privacy-Preserved Hierarchical Authentication and Key Agreement for AI-Enabled Telemedicine Systems

Authors: Lin, T.-W.; Hsu, C.-L.

Year: 2023

Citations: 2

A Hybrid Blockchain-Based Log Management Scheme with Nonrepudiation for Smart Grids

Authors: Le, T.-V.; Hsu, C.-L.; Chen, W.-X.

Year: 2022

Citations: 18

Evaluating Digital Divide Based on Big Wireless Logs: A Case Study among Remote Tribes in Taiwan

Authors: Chen, S.-H.; Li, H.-C.; Liaw, Y.-C.; Le, T.-V.; Luo, W.-L.

Year: 2022

Citations: 2

A Novel Three-Factor Authentication Protocol for Multiple Service Providers in 6G-Aided Intelligent Healthcare Systems

Authors: Le, T.-V.; Lu, C.-F.; Hsu, C.-L.; Chou, Y.-F.; Wei, W.-C.

Year: 2022

Citations: 24

Conclusion

Dr. C.L. Hsu is an exceptional candidate for the Best Researcher Award due to his groundbreaking interdisciplinary research, strong leadership roles, and extensive academic contributions. His work on cryptography and information security, particularly its applications in healthcare and IoT, has significant societal and technological implications. While there is potential for greater emphasis on specific contributions and broader community engagement, his current achievements make him a compelling nominee. Recognizing Dr. Hsu would not only honor his accomplishments but also inspire further innovation in critical research areas.

 

George Ioannidis | Health Professions | Best Researcher Award

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Dr. George Ioannidis | Health Professions | Best Researcher Award

Associate Professor at McMaster University, Canada

Dr. George Ioannidis is a distinguished academic and researcher specializing in health research methodology and aging sciences. Currently, he holds the position of Associate Professor in the Faculty of Medicine, Health Sciences, at McMaster University, and serves as the Eli Lilly Canada Endowed Chair in Osteoporosis. He is also the Deputy Director at the GERAS Centre for Aging Research, where he contributes extensively to advancing knowledge in aging, osteoporosis, and musculoskeletal health. With over two decades of experience, Dr. Ioannidis is a leading voice in evidence-based healthcare research and education.

Profile

Scopus

Education 🎓

  • PhD in Health Research Methodology (2009)
    McMaster University, Ontario
    Focused on statistical modeling and clinical trial analysis.
  • MSc in Human Biodynamics (1996)
    McMaster University, Ontario
    Specialized in biomechanics and physical performance.
  • BA in Physical Education (1992)
    McMaster University, Ontario

He has also pursued specialized training in statistical analysis, economic evaluations, and design thinking from institutions such as SAS, Cochrane Collaboration, and McMaster University Institute for Research on Aging.

Professional Experience 💼

Dr. Ioannidis has held key roles in academia and research:

  • Associate Professor (2024–Present) at McMaster University.
  • Deputy Director (2013–Present) at GERAS Centre for Aging Research, Hamilton Health Sciences.
  • Research Consultant (2014–Present) for Medical Pharmacies Group Limited.

Earlier in his career, he served as Assistant Professor (2010–2016) and Research Associate at McMaster University, contributing to transformative health research initiatives.

Research Interests 🔬

Dr. Ioannidis’s research focuses on:

  • Aging and osteoporosis.
  • Musculoskeletal health.
  • Methodological advancements in clinical trials and systematic reviews.
  • The impact of frailty and social isolation on older adults.

Through innovative approaches, he bridges statistical methodologies with clinical applications, aiming to improve outcomes for aging populations.

Awards and Honors 🏆

Dr. Ioannidis has been recognized nationally and internationally, including:

  • Eli Lilly Canada Chair in Osteoporosis (2024–Present).
  • Presidential Lightning Science Oral Award (2024), American Geriatrics Society.
  • Editors’ Choice Publication Award (2021), Age and Ageing.
  • Numerous travel and research fellowships from Osteoporosis Canada, CIHR, and Procter & Gamble Pharmaceuticals.

Publications 📚

Dr. Ioannidis has authored numerous influential papers across prominent journals, including:

Hip fracture rate and osteoporosis treatment in Ontario: A population-based retrospective cohort study

  • Year: 2024
  • Citations: 0

Canadian Inpatient Orthogeriatric Models of Care: A Mixed Methods Survey of Facilitators and Barriers

  • Year: 2024
  • Citations: 0

Axial Spondyloarthritis: Does Magnetic Resonance Imaging Classification Improve Report Interpretation

  • Year: 2024
  • Citations: 0

Mapping sedentary behaviour (MAPS-B) in winter and spring using wearable sensors, indoor positioning systems, and diaries in older adults who are pre-frail and frail: A feasibility longitudinal study

  • Year: 2024
  • Citations: 1

Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty

  • Year: 2024
  • Citations: 0

Creating dementia-friendly communities: Challenging stigma and building understanding through public education

  • Year: 2024 (In press)
  • Citations: 0

Associations between Osteosarcopenia and Falls, Fractures, and Frailty in Older Adults: Results From the Canadian Longitudinal Study on Aging (CLSA)

  • Year: 2024
  • Citations: 7

Clinical practice guideline for management of osteoporosis and fracture prevention in Canada: 2023 Update

  • Year: 2023
  • Citations: 2

The Geras virtual frailty rehabilitation program to build resilience in older adults with frailty during COVID-19: a randomized feasibility trial

  • Year: 2023
  • Citations: 2

Clinical practice guideline for management of osteoporosis and fracture prevention in Canada: 2023 Update

  • Year: 2023
  • Citations: 33

Conclusion ✨

Dr. George Ioannidis exemplifies the qualities of an outstanding researcher through his innovative contributions to aging and osteoporosis research, impactful mentorship, and commitment to evidence-based practices. His leadership roles and academic accolades position him as a leader in his field, and with minor enhancements in interdisciplinary collaboration and global outreach, he could further solidify his legacy as a pioneer in health research. He is a highly deserving candidate for the Best Researcher Award.

Dr. Charles Gaillard | Health Professions | Best Researcher Award

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Dr. Charles Gaillard | Health Professions | Best Researcher Award

Dr. Charles Gaillard, Centre Hospitalier Regional et Universitaire de Tours, France

Dr. Charles Gaillard is a dedicated urologist currently completing his medical training with a focus on transplantation and genitourinary oncology. He holds a series of advanced diplomas, including a Diplôme Inter-Universitaire in Oncologie Génito-Urinaire and a Thèse d’Exercice in Medicine, which he defended in 2022 on the topic of renal transplantation and drainage. Dr. Gaillard’s research, particularly his study on the necessity of drainage in renal transplantation, was published in FJUROL in August 2024 and awarded the Silver Medal with Honors from the jury. He has gained extensive clinical experience through internships at leading hospitals in Lyon and Tours, working under prominent professors in urology and vascular surgery.

Professional Profile:

Scopus

Suitability for the Award:

Dr. Gaillard’s research aligns well with the Best Researcher Award, especially given his focus on transplantation, surgical innovation, and urological treatment methodologies. His work contributes both to scientific understanding and practical advances in post-operative patient care, making a meaningful impact in his field.

Academic Background:

Dr. Charles Gaillard earned several prestigious diplomas in his field, including a Diplôme Inter-Universitaire in Genito-Urinary Oncology (2023), Thesis in Medicine on Renal Transplantation (2022), and Diplôme Universitaire in Urinary Lithiasis (2020). He has undergone specialized training in organ transplantation and urology across top institutions such as Sorbonne University and Paris-Lyon-Tours.

Clinical Experience:

Dr. Gaillard’s internship includes comprehensive work at Hôpital Edouard Herriot, Hôpital Bretonneau, and Clinique du Pôle Léonard de Vinci, where he honed his skills in urology, vascular surgery, and renal transplantation under expert supervision.

Research Focus & Achievements:

His doctoral thesis on renal transplantation—titled “Is Redon Drainage Essential in Renal Transplantation?”—was published in FJUROL (2024) and won the Silver Medal with Jury Honors. The study explored risk factors associated with the necessity of drainage in renal transplant surgeries.

Honors & Recognition:

Dr. Gaillard’s dedication to research and clinical excellence has earned him recognition in his field, including Medal of Silver with Jury Congratulations for his groundbreaking research on transplantation.

Publication Top Notes:

  • Cut-off time for surgery and prediction of orchiectomy in spermatic cord torsion: a retrospective multicentric study over 15 years
    • Journal: World Journal of Urology, 2023,
    • Citations: 2
  • Torsion of the spermatic cord in adults: a multicenter experience in adults with surgical exploration for acute scrotal pain with suspected testicular torsion
    • Journal: Asian Journal of Andrology, 2022,
    • Citations: 7
  • TORSAFUF – Surgical exploration for torsion of spermatic cord suspicion and risk factors for unnecessary surgery: Results of a French nationwide retrospective study on 2940 patients
    • Journal: Progres en Urologie, 2022
    • Citations: 2
  • Contralateral Orchiopexy at the Time of Urgent Scrotal Exploration-Is It Safe? A Propensity Score Matched Analysis from the TORSAFUF Cohort
    • Journal: Journal of Urology, 2021
    • Citations: 5

 

 

Auvick Chandra Bhowmik | Computer Vision | Best Researcher Award

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Mr.Auvick Chandra Bhowmik | Computer Vision | Best Researcher Award

Graduate Researcher Daffodil International University Bangladesh

Auvick Chandra Bhowmik is a passionate and dedicated graduate researcher specializing in computer science and engineering. Currently pursuing his Bachelor’s degree at Daffodil International University, he is focused on developing expertise in machine learning, deep learning, and data science.

Profile

Google Scholar

Education

🎓 Daffodil International University (DIU)

  • Bachelor of Science in Computer Science and Engineering (CSE)
  • 2021 – Present
  • CGPA: 3.96 (Current)

🎓 Dr. Mosharraf Foundation College

  • Higher Secondary Certificate (HSC)
  • 2018 – 2020
  • GPA: 4.75 (Out of 5)

Experience

🔧 Graduate Researcher

  • Actively searching for research opportunities to gain experience in the field.
  • Focused on projects related to computer science, particularly machine learning and deep learning.

Research Interests

🔬 Research Interests

  • Machine Learning
  • Deep Learning
  • Data Science
  • Vision Transformers
  • Disease Detection using Machine Learning

Awards

🏆 Awards

  • Actively working towards contributing to the field of computer science through various research projects and publications.

Publications

📚 Publications