Kapil Kumar Gupta
A.0 GENERAL , B.4 INPUT/OUTPUT AND DATA COMMUNICATIONS, D.0 GENERAL , G.3 PROBABILITY AND STATISTICS , H.2 DATABASE MANAGEMENT , I.4 IMAGE PROCESSING AND COMPUTER VISION , I.5 PATTERN RECOGNITION , E.4 CODING AND INFORMATION THEORY , F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY Machine Learning, Artifical Intelligence, Medical Image Processing input/output and data communications probability and statistics database management image processing and computer vision pattern recognition coding and information theory analysis of algorithms and problem complexity Insurance and Financial Risk Management Text and Document Classification Technologies Image Retrieval and Classification Techniques Stock Market Forecasting Methods Explainable Artificial Intelligence (XAI) Machine Learning in Healthcare Time Series Analysis and Forecasting Radiomics and Machine Learning in Medical Imaging Artificial Intelligence in Healthcare and Education Medical Image Segmentation Techniques Electronic health record Electronic Health Records Systems Machine Learning and ELM Deep learning Artificial Intelligence Civil and Structural Engineering Computer Vision and Pattern Recognition Economics and Econometrics Health Informatics Health Information Management Management Science and Operations Research Radiology, Nuclear Medicine and Imaging Signal Processing

Bio

Kapil Kumar Gupta is an accomplished academic and researcher currently serving as an Assistant Professor in the Department of Computer Science and Engineering at the University of Lucknow, India. With a Master of Technology in Computer Science, he has previously held faculty positions at Shri Ramswaroop Memorial University, Asian Institute of Technology, and Amity University. His research expertise spans text summarization, machine learning, data communications, image processing, and pattern recognition. Kapil has published 52 works, accumulating over 454 citations, with an h-index of 6 and an i10-index of 5. He is an active member of IEEE and has been recognized with a Best Paper Award at the 8th International Conference on Smart Computing and Informatics. He is also leading a funded project on enhancing farmer crop yield using generative AI and geospatial data, supported by the Council of Science and Technology, U.P. His work continues to contribute significantly to the fields of computer science and artificial intelligence.

Educational Journey

Master of Technology in Computer Science • Computer Science

Experience

ASSISTANT PROFESSOR

2022 - Present • COMPUTER SCIENCE AND ENGINEERING

Assistant Professor

2016 - 2022 • CS

Asian Institute of Technology

Assistant Professor

2010 - 2016 • CS
Show all 4 experience

Affiliations

IEEE

Student

Member since 0

Grants and Awards

GRANT

Enhancing Farmer Corp Yield and Reducing Cost Through Generative AI and Geosptial Data

Council of Science and Technology, U.P.

2025
GRANT

BEST PAPER AWARD in 8th International Conference on Smart Computing and Informatics (SCI-2026)

Swinburne Vietnam, Hanoi Location, Vietnam

Research

No publications found.