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Rishi Raj

Information Systems

Assistant Professor

rishi[dot]raj[at]iimv[dot]ac[dot]in

About

  • Current Position: Assistant Professor, Information Systems, Indian Institute of Management Visakhapatnam 

  • Highest Qualification: PhD, Computer Science and Engineering, Indian Institute of Technology Patna, 2024 

  • Total Experience: 3 years (Academia: 1.5 | Industry/Other: 1.5) 

  • Research Interests: Artificial Intelligence, Computer Vision, Healthcare Systems 

  • Teaching Areas: Management Information Systems, Healthcare Information Systems and Analytics 

  • Academic Profile (1–2 lines): Current research interest lies in Generative AI with a special focus on Large Language Models and AI integration in IT Systems. 

Teaching

PGP/MBA (Graduate) 

  • Management Information Systems | Role: Core | Term/Year(s): Term 3, 2024–26 

  • Management Information Systems | Role: Core | Term/Year(s): Term 3, 2025–27 

  • Healthcare Information Systems and Analytics | Role: Elective | Term/Year(s): Term 5, 2024–26 

PhD/Doctoral 

  • [Course/Seminar Title] | Year(s): [ ] | Role: [Instructor/Co-Instructor] 

Executive Education / MDP / FDP 

  • Senior Management Program | Audience/Organisation: [+10y Work Ex ] | Dates/Duration: 9 hours | Role: Faculty 

  • Leadership with AI | Audience/Organisation: [+10y Work Ex ] | Dates/Duration: 20 hours | Role: Faculty 

Research & Publications

Journal Articles 

  • Paul, Anuruddha; Raj, Rishi; Gourisaria, Mahendra Kumar; Jha, Amitkumar V; Bizon, Nicu; 2026. “YOLO-HARVEST: A hybrid ViT architecture with locality-enhanced attention for automated wildlife species classification.” Ecological Informatics, 103605 (SCIE, SCOPUS) 

  • Paul, Anuruddha; Raj, Rishi; Gourisaria, Mahendra Kumar; Jha, Amitkumar V; Bizon, Nicu; 2026. “HARVEST: A Locality‐Enhanced Vision Transformer for Efficient Multi‐Level Grocery Classification.” Engineering Reports, Vol. 8.0(1.0), Page70534 (SCIE, SCOPUS) 

  • Zope, Mukesh Kumar; Patil, Deepali; Raj, Rishi; Devi, Seema; Madhawi, Richa; . 2025. “Anatomical Parameter-driven Volumetric Modulated Arc Therapy Optimization in Left-sided Breast Cancer: A Machine Learning Framework for Lung Dose Prediction.” Journal of Medical Physics, Vol. 50.0(2.0), Page 257-268 (PubMed) 

  • Zope, Mukesh Kumar; Patil, Deepali; Raj, Rishi; Ansari, Shahanawaj; Madhawi, Richa; Kumar, Abhishek; Devi, Seema; Sinha, Dinesh; Singh, Rajesh; Singh, Devraj; 2025. “Analytical study of radiotherapy techniques in left-sided breast irradiation using integrated scoring and risk assessment method.” Journal of Radiotherapy in Practice, Vol. 24.0, Page 26 (PubMed) 

  • Patil, Deepali; Zope, Mukesh Kumar; Raj, Rishi; Devi, Seema; . 2025. “Predicting heart dose in left-sided breast cancer patients using volumetric modulated arc therapy: an anatomical feature-driven machine learning model.” Journal of Radiotherapy in Practice, Vol. 24.0, Page 13 (PubMed) 

  • Patnaik, Nitesh; Raj, Rishi; Misra, Indranil; Kumar, Vinod; 2025. “Demystifying SAR with attention.” Expert Systems with Applications, Vol. 276.0, Pages 127182 (SCIE, SCOPUS, ABDC-C) 

  • Raj, Rishi; Pruthviraja, Dayananda; Gupta, Ayush; Mathew, Jimson; Kannath, Santhosh Kumar; Prakash, Adity; Rajan, Jeny; 2024. “Multilevel Multimodal framework for automatic collateral scoring in brain stroke.” IEEE Access, Vol. 12.0, Pages 33730-33748 (SCIE, SCOPUS) 

  • Raj, Rishi; Kannath, Santhosh Kumar; Mathew, Jimson; Sylaja, PN; 2023. “AutoML accurately predicts endovascular mechanical thrombectomy in acute large vessel ischemic stroke.” Frontiers in Neurology, Vol. 14.0, Pages 1259958 (SCIE, SCOPUS) 

  • Raj, Rishi; Mathew, Jimson; Kannath, Santhosh Kumar; Rajan, Jeny; 2023. “StrokeViT with AutoML for brain stroke classification.” Engineering Applications of Artificial Intelligence, Vol. 119.0, Pages 105772 (SCIE, SCOPUS) 

  • Raj, Rishi; Mathew, Jimson; Kannath, Santhosh Kumar; Rajan, Jeny; 2022. “Crossover based technique for data augmentation.” Computer Methods and Programs in Biomedicine, Vol. 218.0, Pages 106716. (SCIE, SCOPUS) 

 

Conference Papers (Peer-reviewed) 

  • Mahapatra, Shreekara; Raj, Rishi; Singhal, Divyansh; Agrawal, Sarang; . 2025. “Feedback-Driven Continuous Learning in Retrieval-Augmented Generation Systems.” International Conference on Information Systems and Management Science, 577-588, NIT Kuruksetra  

  • Sharma, Archit; Raj, Rishi; Taori, Alekh; Mathew, Jimson; . 2025. “Towards Interpretable Deep Reinforcement Learning for Portfolio Optimization.” International Conference on Information Systems and Management Science, 697-709.', NIT Kurukshetra 

  • Raj, Rishi; Raut, Priyadrasta; Zope, Mukesh Kumar; Mathew, Jimson; Kannath, Santhosh Kumar; Rajan, Jeny; . 2024. “Resident Vision Transformer: Lightweight Deep Learning Model for Disease Diagnosis on Edge Devices.” 2024 10th International Conference on Smart Computing and Communication (ICSCC), 349-355, Malaysia 

 

 

 

Services

Institutional Administrative Roles 

  • [Role], [Institute] — [From–To] (Key responsibilities: [2–3 phrases]) 

Committees / Academic Governance 

  • [Library Advisory Committee] [Member] | [2025] 

  • [Anti-Ragging Committee] [Member] | [2025] 

 

Academic Service (External) 

  • Reviewer: IEEE Transactions on Medical Imaging, Engineering Applications of Artificial Intelligence 

  • Session Chair/Track Chair/Board/Panel roles: [International Management Perspective Conference (IMPeC 2025] | [2025] 

Award And Recognition

  • Patents Granted: ARTIFICIAL INTELLIGENCE POWERED SURVEILLANCE EQUIPMENT FOR TRANSPORT SAFETY Authority: Intellectual Property Office, Government of the United Kingdom 
    Reference Number: 6374431 [2024] 

  • Patents Published: SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE BASED AUTOMATED DIAGNOSIS FOR BRAIN STROKE ON RADIOGRAPHIC FILMS 
    Authority: The Office of the Controller General of Patents, Designs & Trade Marks, Govt. of India Reference Number: 6374431 [2024]  

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