Computer Science & Engineering and Information Technology (CSE&IT)

Dr. Aman Sharma is an Associate Professor in the Department of Computer Science & Engineering and Information Technology at Jaypee University of Information Technology (JUIT), Waknaghat, Solan. He joined JUIT in July 2019 as Assistant Professor (Grade-II), was promoted to Assistant Professor (Senior Grade) in March 2021 and became Associate Professor in September 2026. His work spans machine learning, deep learning, generative AI and natural language processing, with applications in healthcare, agriculture, education and decision-making.

Dr. Sharma holds a Ph.D. (2019) and a Master of Engineering in Computer Science & Engineering (9 CGPA) from Thapar Institute of Engineering and Technology, Patiala, and a B.Tech in Computer Science & Engineering (85%) from Rayat and Bahra Institute of Engineering and Biotechnology, Mohali. He began his teaching career at Thapar Institute as a Teaching Assistant, and later served as Research Teaching Associate and Non-Tenure Lecturer. At JUIT he teaches Data Structures & Algorithms, Data Mining & Data Warehousing, and Artificial Intelligence & Machine Learning, and has earlier taught Python, Object Oriented Programming and Advanced Algorithms.

His research began with machine learning frameworks for cancer genomics and drug discovery (KSRMF, BE-DTI’ and C-HMOSHSSA), and has since grown into ensemble and deep learning for medical diagnosis and precision agriculture, transformer-based sentiment analysis, federated learning in healthcare, and fuzzy multi-criteria decision-making. His current interests include large language models, prompt engineering and optimisation, retrieval-augmented generation, agentic AI and responsible AI. He has authored 25 journal papers, 20 conference papers and 11 book chapters, and co-edited books on federated learning published by Springer and by Taylor & Francis (CRC Press).

Innovation is central to his work. He has 11 patent and design filings across India, Australia and Germany, including two Indian patents granted in 2026 (Nos. 581461 and 584744), an Indian design patent and a registered copyright application, spanning AI-based diagnosis, IoT health monitoring, road safety, agriculture, robotics and mental-health chatbots. He is Principal Investigator of two industry-funded projects supported by Kanpur Fertilizers & Chemicals Limited (KFCL) worth Rs. 11 lakhs in total, and has mentored student-led startups such as JOIE and POCKETRAVEL. He has co-supervised a Ph.D. scholar to completion (2025) and guides M.Tech dissertations.

Dr. Sharma is an active academic leader. He has served as Conference Co-Chair of ICIIP-2021 and PDGC-2024, Organizing Chair of ICIIP-2025, and organised special sessions at PDGC-2020 and ISPCC-2025. He was Guest Editor of a special issue of Scalable Computing: Practice and Experience, is on the editorial boards of two journals, and reviews for leading journals and conferences. At JUIT he is Faculty Coordinator of the Placement Cell, the Enkindle Club (the official CSE & IT student club) and the IPR Cell, and has organised workshops and faculty development programmes on robotics, drones, ROS 2 and data analytics. Outside academia he enjoys reading, cooking, volleyball and badminton.

RESEARCH INTERESTS:

Emerging focus

• Agentic AI: LLM-based agents and multi-step, tool-using AI workflows.
• Prompt Engineering, Prompt Optimisation and Context Engineering: designing, evaluating and refining prompts and context for reliable LLM behaviour.
• Retrieval-Augmented Generation (RAG) and Vector Databases: grounding language models in domain knowledge.
• Generative AI and Responsible AI: LLM ethics (integrating Indian knowledge traditions), deepfake detection, and AI for spiritual intelligence and employee well-being.
• Conversational AI: healthcare and mental-health chatbots and voice bots using natural language processing.

Core areas

• Natural Language Processing: transformer-based and multimodal aspect-based sentiment analysis.
• Federated Learning: privacy-preserving learning for healthcare and the Industrial Internet of Everything.
• Ensemble and Deep Learning: medical diagnosis (lung, breast, cardiovascular, Alzheimer’s, Parkinson’s) and plant disease detection.
• Fuzzy Set Theory and Multi-Criteria Decision-Making: T-spherical fuzzy hypersoft sets with applications in energy and safety.
• Bioinformatics: machine learning for cancer classification and anti-cancer drug response prediction.
• IoT, Drones and Robotics: smart agriculture, structural monitoring and ROS 2 based systems.

PATENTS / COPYRIGHT:

Summary: 11 patents and designs (5 granted, 4 published, 2 filed) and 1 copyright application.

INDUSTRIAL PROJECTS / CONSULTANCY:

Funding agency: Kanpur Fertilizers & Chemicals Limited (KFCL) and the Jaypee Group. Total funding: Rs. 11 lakhs.

RESEARCH SUPERVISION:

PUBLICATION AND RESEARCH STATISTICS: