Haleh Ayatollahi | Public Health Informatics | Research Excellence Award

Dr. Haleh Ayatollahi | Public Health Informatics | Research Excellence Award

Iran University of Medical Sciences | Iran

Haleh Ayatollahi is a Professor of Medical Informatics with extensive experience in health information management, digital health, and health technology assessment. She holds a PhD in Health Informatics from the University of Sheffield (UK), an MSc and BSc in Medical Records from Iran University of Medical Sciences, and an associate degree in the same field. She has held several senior academic and executive roles, including Director of the Deputy of Research and Technology at both the School of Health Management and Information Sciences and the Health Management and Economics Research Centre, and membership on the Medical Informatics Evaluation and Examination Board. Her academic career spans teaching, research leadership, postgraduate administration, and international collaboration. Her research focuses on telemedicine, mobile health, clinical decision support systems, artificial intelligence in healthcare, digital health evaluation, health information systems, patient safety, and technology adoption, with strong contributions to policy briefs and global health studies, including the Global Burden of Disease projects. She has authored 108 peer-reviewed documents with 6,293 citations across 5,499 citing documents and an h-index of 21, reflecting sustained scholarly impact. She has contributed to high-impact journals such as The Lancet, BMC series, Digital Health, and PLOS ONE, and has received multiple academic and research recognitions for excellence in education, research productivity, and leadership in medical informatics.

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Featured Publications


Clinicians’ Knowledge and Perception of Telemedicine Technology

Perspectives in Health Information Management, 2015

Peng Wang | Public Health Analytics | Best Research Article Award

Dr. Peng Wang | Public Health Analytics | Best Research Article Award

Xizang university | China

Dr. Peng Wang is an emerging scholar in the field of plateau health ecology, with a strong academic foundation in forensic medicine and basic medicine. His academic journey demonstrates a steady progression from undergraduate studies to advanced doctoral research, marked by a focus on health challenges unique to high-altitude populations. He has consistently engaged in scientific research, academic exchanges, and collaborative projects, contributing valuable insights into the intersection of medicine, ecology, and machine learning applications in healthcare. Through his publications, participation in symposia, and leadership in talent training programs, Dr. Wang has positioned himself as a promising researcher dedicated to advancing healthcare in plateau regions.

Professional Profile

Scopus

Education

Dr. Wang completed his undergraduate studies in forensic medicine at Henan University of Science and Technology, where he gained a solid grounding in medical science and evidence-based approaches to health-related issues. He further pursued a master’s degree in basic medicine at Tibet University, where his academic focus deepened toward the foundational aspects of medical research. Building on these experiences, he embarked on a doctoral program in plateau health ecology at Tibet University, dedicating his research to understanding the physiological, environmental, and social factors affecting populations living at high altitudes. This educational progression has provided him with multidisciplinary expertise, equipping him to address complex health issues in unique ecological environments.

Experience

Dr. Wang’s academic and professional experiences reflect his active involvement in both research and academic communities. He has participated in significant scholarly gatherings, such as the First and Second Plateau Medicine Symposia at Tibet University, where he contributed to discussions on health and medicine in high-altitude regions. His experience extends beyond attending conferences; he has taken leadership roles in postgraduate and doctoral-level training programs, serving as the first host for the “High-level Talent Training Program.” These initiatives highlight his ability to mentor, guide, and collaborate with fellow researchers and students, fostering an environment of academic growth and innovation.

Research Interest

Dr. Wang’s primary research interests lie at the intersection of plateau health ecology, medical science, and data-driven healthcare solutions. His work emphasizes understanding how high-altitude environments affect human physiology, health risks, and disease prevalence. A notable example is his research on osteoporosis prediction in Tibetan middle-aged and elderly women, where he applied and compared machine learning models to improve diagnostic accuracy. This reflects his growing interest in integrating computational methods with medical research, demonstrating the potential of artificial intelligence to enhance healthcare outcomes in underserved regions. His broader interests include preventive medicine, ecological health, and the development of strategies tailored to the unique challenges faced by populations in plateau regions.

Awards

Throughout his academic journey, Dr. Wang has received multiple scholarships in recognition of his academic excellence and research contributions. These honors from Tibet University reflect not only his strong performance but also his dedication to advancing knowledge in health sciences. His recognition underscores the value of his contributions and affirms his commitment to rigorous academic pursuits and innovative research. Such achievements serve as milestones that highlight his growing impact within the medical and scientific community.

Publications

Wang, P. (2025). “Comparing Machine Learning Models for Osteoporosis Prediction in Tibetan Middle-Aged and Elderly Women.” Scientific Reports, 15(1), 10960.

Wang, P., et al. (2025). “Influencing Factors on Bone Mass Abnormalities in Tibetan Adult Females from a Socioeconomic Perspective.” BMC Women’s Health.

Conclusion

Dr. Peng Wang exemplifies the qualities of a dedicated researcher and academic professional with a focus on plateau health ecology and medical research. His educational background, spanning forensic medicine, basic medicine, and specialized doctoral training, has equipped him with a comprehensive perspective on health sciences. Through his scholarly publications, active participation in academic symposia, leadership in training programs, and recognition through awards, he has demonstrated both academic excellence and a commitment to addressing pressing healthcare issues in high-altitude populations. His research, particularly the integration of machine learning in medical prediction models, reflects a forward-looking vision that combines traditional health science with modern computational approaches. With a strong foundation and growing expertise, Dr. Wang continues to make meaningful contributions to the advancement of health research and medical innovation in challenging ecological contexts.

Ch Rajyalakshmi | Deep learning using medical image data | Best Researcher Award

Mrs Ch Rajyalakshmi - B V Raju Institute of Technology - Deep learning using medical image data

Mrs Ch Rajyalakshmi : Deep learning using medical image data

Professional profile:

Early Academic Pursuits:

Mrs. Ch. Rajyalakshmi's academic journey commenced with a Bachelor's degree in Computer Science and Information Technology from NEC, Narsaraopeta, in 2004. This laid the foundation for her pursuit of a Master's degree in Computer Science and Engineering at AVIET, Narsipatnam, in 2011. Building on her academic prowess, she is currently pursuing a Ph.D. at JNTU Kakinada, with her thesis focusing on "HIGH SPECTRAL SATELLITE IMAGE SEGMENTATION WITH DEEP LEARNING UNET BASED TECHNIQUES FOR GENERATING FLOOD INUNDATION."

Professional Endeavors:

With a teaching experience spanning 18 years, Dr. Rajyalakshmi has played pivotal roles in various academic institutions. She has been an Associate Professor at BVRIT, Narsapur, since 2011, following roles as an Assistant Professor at CMRIT Engg College, Hyderabad, and a Lecturer at Narsaraopeta Engineering College, Narsaraopeta, earlier in her career.

Contributions and Teaching Experience:

Mrs. Rajyalakshmi's expertise in computer science is evident through the diverse range of courses she has taught. From Artificial Intelligence and Machine Learning to Database Design and Operating Systems, she has contributed significantly to the education of students. Her teaching extends to areas such as Computer Networks, Software Engineering, Multimedia and Design, and Human-Computer Interaction.

Research Focus and Publications:

Mrs. Rajyalakshmi's research interests primarily revolve around the application of Deep Learning architectures for spatial data, particularly in processing high spectral satellite images for water body identification. Her publications in renowned journals and conferences reflect the depth of her contributions to the field. Some notable publications include works on satellite image data extraction using classification techniques and the detection of active attacks in Mobile Ad Hoc Networks (MANETs).

Accolades and Recognition:

Mrs. Rajyalakshmi's academic achievements include being FET Qualified in 2011 and GATE Qualified in 2006. Her commitment to excellence is also evident in her completion of various NPTEL courses and Coursera certifications, covering topics such as Machine Learning, Database Management Systems, Deep Learning, and Artificial Intelligence.

Impact and Influence:

Through her research and teaching endeavors, Mrs. Rajyalakshmi has made a significant impact on the academic community. Her publications and patents attest to her dedication to advancing knowledge in computer science and related domains.

Legacy and Future Contributions:

As a seasoned educator and researcher, Mrs. Rajyalakshmi continues to shape the academic landscape. Her administrative responsibilities, including course coordination, involvement in accreditation processes, and leadership roles in various committees, showcase her commitment to the holistic development of educational institutions. With an ongoing Ph.D. pursuit and an impressive list of publications and patents, she is poised to leave a lasting legacy in the realms of computer science, education, and research. Her multifaceted contributions highlight a career marked by continuous growth, learning, and impactful contributions to academia.

Notable Publications: