Vinay R Srihari

@iihmrbangalore.edu.in

Assistant Professor
Institute of Health Management Research, Bangalore

My name is Vinay R Srihari, and I am currently working as an Assistant Professor at IIHMR, Bangalore from July 2023. I have completed my Masters in Machine Learning from MSRUAS, Bangalore. My work at IIHMR includes teaching Business Analytics, Machine Learning and working on NLP related research project for ADMIRE – Centre for Advancing Digital Healthcare at IIHMR, Bangalore. My previous work experience includes working as a Data Scientist at the Public Affairs Centre with 3 years of experience in the data science field related to optimization models and forecasting tools. Throughout my career, I have gained valuable expertise in the application of machine learning, optimization models, building dashboards, MLOPs and data pipeline development.

EDUCATION

Masters in Machine Learning and Intelligent Systems

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Science
52

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Development and Validation of a Predictive AI Framework for Diabetic Foot Ulcer Monitoring and Severity Assessment: A Step towards Self-monitoring and Primary Care Integration
    SS Satheesh, A Rayampalli, AG Prabhune, VRS Hari
    Healthcare Informatics Research 32 (1), 69-76 , 2026
    2026
  • Development and validation of an AI-based application for early detection and risk stratification of oral potentially malignant disorders
    AG Prabhune, VR Srihari, S Shree, M Katiyar, V Thampi
    Journal of Oral Biology and Craniofacial Research 15 (6), 1806-1812 , 2025
    2025
    Citations: 3
  • A web-based platform for optimizing healthcare resource allocation and workload management using agile methodology and WISN theory
    AG Prabhune, PSK Priya, R Chandra, A Thakur, VR Srihari, SS Bhat
    BMC Health Services Research 25 (1), 400 , 2025
    2025
    Citations: 8
  • Utilising consumer reviews for passive surveillance of foodborne illnesses: insights and challenges from the Indian restaurant
    A Prabhune, VS Hari, NK Sethiya, M Gauniyal
    International Journal of Public Health 14 (1), 479-492 , 2025
    2025
    Citations: 1
  • Developing Causality and Severity Assessment Frameworks for Food Safety Signals Using Social Media Reviews: A Technical Report Based on Data From an Urban Indian Suburb
    A Prabhune, VS Hari, NK Sethiya, M Gauniyal, VR Srihari
    Cureus 16 (7) , 2024
    2024
    Citations: 2
  • Agile fusion: developing eat at right place sentiment analysis tool
    A Prabhune, VR Srihari, NK Sethiya, M Gauniyal
    IJEECS 34 (1), 602 , 2024
    2024
    Citations: 4
  • Enhancing Accessibility to Primary Healthcare Centres through the Development and Validation of a Machine Learning-based Gravity Model: Strengthening Public Health Coverage
    A Prabhune, VR Srihari, AB Bidrohi, A Reddy, A Mallawaram
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024
    Citations: 1
  • Improving manpower allocation at primary healthcare facilities: development and validation of a machine learning quadratic model to strengthen public health service availability
    SS Bhat, VR Srihari, A Prabhune, A Mallawaram, AB Bidrohi
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024
    Citations: 5
  • Optimizing medication access in public healthcare centers: a machine learning stochastic model for inventory management and demand forecasting in primary health services
    SS Bhat, VR Srihari, A Prabhune, SS Satheesh, AB Bidrohi
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024
    Citations: 20
  • Adaptation of a BERT model to the India restaurant data using rule-based approach for aspect-based sentiment analysis
    AG Prabhune, VRS Hari, NK Sethiya
    2023 Second International Conference On Smart Technologies For Smart Nation … , 2023
    2023
    Citations: 6
  • Evaluation of COVID-19 vaccination websites using DISCERN and Quality Evaluation Scoring (QUEST) Tools
    AG Prabhune, A Mallawaram, SS Bhat, S Pandey, A Reddy
    2021
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Optimizing medication access in public healthcare centers: a machine learning stochastic model for inventory management and demand forecasting in primary health services
    SS Bhat, VR Srihari, A Prabhune, SS Satheesh, AB Bidrohi
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024
    Citations: 20
  • A web-based platform for optimizing healthcare resource allocation and workload management using agile methodology and WISN theory
    AG Prabhune, PSK Priya, R Chandra, A Thakur, VR Srihari, SS Bhat
    BMC Health Services Research 25 (1), 400 , 2025
    2025
    Citations: 8
  • Adaptation of a BERT model to the India restaurant data using rule-based approach for aspect-based sentiment analysis
    AG Prabhune, VRS Hari, NK Sethiya
    2023 Second International Conference On Smart Technologies For Smart Nation … , 2023
    2023
    Citations: 6
  • Improving manpower allocation at primary healthcare facilities: development and validation of a machine learning quadratic model to strengthen public health service availability
    SS Bhat, VR Srihari, A Prabhune, A Mallawaram, AB Bidrohi
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024
    Citations: 5
  • Agile fusion: developing eat at right place sentiment analysis tool
    A Prabhune, VR Srihari, NK Sethiya, M Gauniyal
    IJEECS 34 (1), 602 , 2024
    2024
    Citations: 4
  • Development and validation of an AI-based application for early detection and risk stratification of oral potentially malignant disorders
    AG Prabhune, VR Srihari, S Shree, M Katiyar, V Thampi
    Journal of Oral Biology and Craniofacial Research 15 (6), 1806-1812 , 2025
    2025
    Citations: 3
  • Developing Causality and Severity Assessment Frameworks for Food Safety Signals Using Social Media Reviews: A Technical Report Based on Data From an Urban Indian Suburb
    A Prabhune, VS Hari, NK Sethiya, M Gauniyal, VR Srihari
    Cureus 16 (7) , 2024
    2024
    Citations: 2
  • Evaluation of COVID-19 vaccination websites using DISCERN and Quality Evaluation Scoring (QUEST) Tools
    AG Prabhune, A Mallawaram, SS Bhat, S Pandey, A Reddy
    2021
    Citations: 2
  • Utilising consumer reviews for passive surveillance of foodborne illnesses: insights and challenges from the Indian restaurant
    A Prabhune, VS Hari, NK Sethiya, M Gauniyal
    International Journal of Public Health 14 (1), 479-492 , 2025
    2025
    Citations: 1
  • Enhancing Accessibility to Primary Healthcare Centres through the Development and Validation of a Machine Learning-based Gravity Model: Strengthening Public Health Coverage
    A Prabhune, VR Srihari, AB Bidrohi, A Reddy, A Mallawaram
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024
    Citations: 1
  • Development and Validation of a Predictive AI Framework for Diabetic Foot Ulcer Monitoring and Severity Assessment: A Step towards Self-monitoring and Primary Care Integration
    SS Satheesh, A Rayampalli, AG Prabhune, VRS Hari
    Healthcare Informatics Research 32 (1), 69-76 , 2026
    2026