Dr. Shahid Mohammad Ganie | Computer Science | Best Researcher Award
AI Research Centre, Woxsen University, India
Author Profile
Early Academic Pursuits 🎓✨
Dr. Shahid Mohammad Ganie’s academic journey is a testament to his dedication to excellence. He began his higher education by earning a Bachelor’s degree in Mathematics (B.Sc) from the prestigious University of Kashmir, laying a strong foundation in analytical and logical reasoning. He further pursued a Master’s degree in Computer Applications (MCA) from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir, where he excelled as a Gold Medalist, showcasing his commitment to academic brilliance.
Dr. Ganie’s passion for innovation and technology led him to complete his Ph.D. in Healthcare Informatics from the same institution. During his doctoral research, he focused on the intersection of artificial intelligence and healthcare, a domain that continues to define his professional endeavors and contributions.
Professional Endeavors 💼💡
Currently serving as an Assistant Professor and Research Scientist at the AI Research Centre, Woxsen University, Hyderabad, Dr. Ganie has amassed over 2 years of teaching experience at both undergraduate and postgraduate levels. His dual role as an academic and researcher enables him to bridge theoretical knowledge with practical applications, particularly in cutting-edge fields like Explainable AI, Data Analytics, and Machine Learning.
Dr. Ganie also leads as the Program Director of MBA (BA, AI & ML) at Woxsen University. His leadership in this interdisciplinary program emphasizes integrating business acumen with technological advancements, preparing students to thrive in the AI-driven future.
As a Technology Advisory Board member of the AI Research Centre, he actively contributes to shaping the institution’s strategic direction, fostering innovation, and enhancing industry-academia collaboration.
Contributions and Research Focus 🔍🧠
Dr. Ganie’s research interests are diverse and impactful, encompassing Data Analytics, Explainable AI, Machine Learning, Deep Learning, Healthcare Informatics, and Medical Image Computing. His dedication to advancing these fields is evident through his extensive body of work:
- Publications: Over 30 research articles in refereed journals, edited books, and renowned international conferences, highlighting his thought leadership in AI and healthcare informatics.
- Patents: Holder of 2 patents in the healthcare domain, underscoring his innovative contributions to improving medical technologies.
- Books: Editor of 2 books, published by reputed publishers like Elsevier and Taylor and Francis, further cementing his expertise and influence in the academic community.
His focus on Explainable AI ensures that AI systems remain transparent, interpretable, and trustworthy, particularly in healthcare informatics, where patient safety and ethical considerations are paramount.
Accolades and Recognition 🏆🌟
Dr. Ganie’s exemplary contributions have been recognized through numerous awards and honors:
- Best Researcher Awards: He was bestowed with the Best Researcher Awards by the School of Business at Woxsen University for consecutive academic years, 2023 and 2024, in recognition of his outstanding research output.
- Research Grants: Recipient of prestigious research grants that have enabled him to undertake groundbreaking projects in AI and healthcare.
These accolades are a testament to his relentless pursuit of excellence and his ability to inspire and lead within the academic and research community.
Impact and Influence 🌍🔗
Dr. Ganie’s work has far-reaching implications across academia and industry. As a mentor and Chair Professor, he nurtures the next generation of scholars, encouraging them to explore innovative solutions to real-world challenges. His role as a Technology Advisory Board member ensures that his insights shape institutional strategies, fostering growth and innovation.
His emphasis on AI-driven innovations in healthcare has the potential to revolutionize patient care by making diagnostic tools more accurate, accessible, and ethical.
Legacy and Future Contributions 🚀📚
Looking ahead, Dr. Ganie aims to continue advancing the fields of Data Analytics, Machine Learning, and Healthcare Informatics, driving AI innovations that benefit society. His ongoing projects, combined with his leadership roles, ensure that his impact will resonate for years to come.
As a dedicated mentor, he strives to inspire his students to become leaders in their respective fields. His commitment to bridging academia and industry is pivotal in fostering collaboration and ensuring the practical relevance of academic research.
Citations
A total of 187 citations for his publications, demonstrating the impact and recognition of his research within the academic community.
- Citations 187
- h-index 23
- i10-index 08
Notable Publications
- Title: An Investigation of Ensemble Learning Techniques for Obesity Risk Prediction Using Lifestyle Data
Authors: Ganie, S.M., Reddy, B.B., K, H., Rege, M.
Journal: Decision Analytics Journal
Year: 2025. - Title: Improved Liver Disease Prediction from Clinical Data through an Evaluation of Ensemble Learning Approaches
Authors: Ganie, S.M., Dutta Pramanik, P.K., Zhao, Z.
Journal: BMC Medical Informatics and Decision Making
Year: 2024. - Title: Correction to: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
Authors: Saha, A., Ganie, S.M., Dutta Pramanik, P.K., Mallik, S., Zhao, Z.
Journal: BMC Medical Imaging
Year: 2024. - Title: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
Authors: Saha, A., Ganie, S.M., Pramanik, P.K.D., Mallik, S., Zhao, Z.
Journal: BMC Medical Imaging
Year: 2024. - Title: A Comparative Analysis of Boosting Algorithms for Chronic Liver Disease Prediction
Authors: Ganie, S.M., Dutta Pramanik, P.K.
Journal: Healthcare Analytics
Year: 2024.