About
Dr. Mrinmoy Roy is an Associate Professor in the MBA Department at NSB Academy, Bangalore, India, and a Post-Doctoral Fellow in Applied Business Research at Texas State University, USA. He holds a Ph.D. in Management (Operations domain) from the Mittal School of Business, Lovely Professional University, with distinction (CGPA 10/10), where his doctoral research focused on the adoption of Artificial Intelligence (AI)-based interventions in healthcare diagnostics.
With over 17 years of combined academic and industry experience, Dr. Roy specializes in Artificial Intelligence, Business Analytics, Operations Research, Applied Statistics, and quantitative decision-making. His teaching portfolio spans undergraduate and postgraduate programs, covering courses such as Operations Research, Business Forecasting, Quantitative Techniques, Data Analytics, Big Data Analytics, Social Media Analytics, and Database Management Systems (SQL). He is known for integrating statistical modelling, machine learning, and real-world applications to foster analytical thinking and data-driven decision-making among students.
Dr. Roy has held several prominent academic positions, including Associate Professor at PES University, Bangalore, and Assistant Professor at IIHMR Bangalore in Pharma & Health IT Management. He has also served as Adjunct Faculty at Ramaiah Institute of Management, and Visiting/Guest Faculty at institutions such as NMIMS Mumbai and Vivekananda College of Pharmacy, contributing to interdisciplinary teaching in analytics, marketing, and healthcare management. In addition, he has actively contributed to institutional development through roles in placements, admissions, academic coordination, and research initiatives, including membership in the ADMIRE (Advancing Digital Healthcare, Management, Innovation, Research, and Entrepreneurship) initiative.
His research contributions lie at the intersection of healthcare analytics, AI adoption, predictive modelling, and technology acceptance frameworks (TAM and UTAUT). Dr. Roy has published extensively in reputed journals indexed in Scopus (Q1–Q3), Web of Science (ESCI), and ABDC-ranked outlets. His work includes publications in journals such as Hospital Topics, International Journal of Pharmaceutical and Healthcare Marketing, and Journal of Public Health, along with contributions to edited volumes by international publishers such as IGI Global and Wiley. His research emphasizes hybrid frameworks that combine behavioural modelling with machine learning techniques to address complex healthcare and business problems.
Dr. Roy has also led and contributed to multiple applied research projects in healthcare analytics, including patient journey mapping, hospital readmission prediction using machine learning, telehealth demand forecasting, and pharmacy supply chain optimization using predictive analytics. His work integrates tools such as Python, R, SQL, Tableau, and Power BI to develop scalable, data-driven solutions. He has filed patents and intellectual property in AI-enabled healthcare systems, including remote patient monitoring and diabetes management frameworks.
Beyond academia, Dr. Roy has substantial industry experience across leading pharmaceutical and healthcare organizations, including AstraZeneca, Glenmark Pharmaceuticals, Lupin, Cipla, and international roles in the Philippines. His industry expertise spans product management, strategic account management, marketing analytics, and healthcare operations, providing him with a strong applied perspective that informs his research and teaching.
He has been actively involved in executive education and training, delivering Management Development Programs (MDPs) and certification courses in digital health, clinical research, and analytics. He has received advanced training from premier institutions such as IIM Bangalore and Purdue University in areas including machine learning, generative AI, and research methodology.
Dr. Roy’s contributions have been recognized through several national and international awards, including the “Pride of Indian Education Award” (2024), “Outstanding Contribution in Healthcare Management Education” (2024), and “Most Distinguished Professor of Business Management” (2024). He is also an active reviewer for peer-reviewed journals and contributes to academic and professional communities through conferences, workshops, and consulting engagements.
His current research focuses on human-centric AI, explainable AI (XAI), rare event modelling, and the integration of behavioural science with advanced analytics to enhance decision-making in healthcare and business ecosystems.
Employment
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NSB Academy Associate Professor2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (6)
- A Collaborative AI Framework for Rare Event Modelling in Early Alzheimer's Detection Save
- Physicians behavioural intentions towards AI-based diabetes diagnostic interventions in India Save
- Synergizing EEG and MRI for Autism Classification: Exploring the Feasibility of Machine Learning Models Save
- AI Intervention in Education Systems of India: An Analysis Save
- An Overview of Artificial Intelligence (AI) Intervention in Indian Healthcare System Save
- A Concept based Smart Healthcare Project for patients with Non Communicable Disease according to ‘New Normal’ post COVID-19 (SHP-NCD) Save