Faculty

Core Research Domains:

• Artificial Intelligence and Machine Learning

Research Focus:

PhD Problem Statement on: ” Detection and Analysis of Chest-Xray based Lung Cancer Disease using metaheuristic optimization based Deep learning techniques.”.

Journals and Conferences:

• The paper “Lane Detection on Roads Using Computer Vision” was published in the International Journal of Engineering Technology and Management Sciences in 2022 with DOI: 10.46647/ijetms.2022.v06i04.002.
• The paper “Gray Scale Image Captioning Using CNN and LSTM” was published in the International Journal for Research in Applied Science & Engineering Technology in April 2022.
• The paper “Trust Assessment in Online Social Networks” appeared in the International Journal of Progressive Research in Engineering Management and Science, Vol. 04, Issue 04, April 2024, pp. 1796-1806.
• The paper “Multi-Optimized Approach for Classifying Food Images Using Faster RCNN” was published in the International Journal of Scientific Development and Research in May 2022 (UGC Approved Journal).
• The paper “Deep Neural Network Based Forgery Identification by Object Detection in Images” was presented at the AICTE Sponsored National Conference on Engineering Applications of Artificial Intelligence (NCEAAI – 2022) in February 2022 (UGC Approved Journal).
• The paper “Investigation and Use of ML Methods for Predicting Employees Performance” was published in the International Journal of Engineering Inventions on 28 June 2023 (UGC Approved Journal).
• The paper “Crime Data Storage Using Cryptography-Based Security System” was presented at the 1st National Conference on Design Thinking: Trans-Disciplinary Challenges & Opportunities (NCDT 2023) in 2023 (UGC Approved Journal).
• The paper “Pulmonary Fibrosis Progression” was published in the International Journal of Research Publication and Reviews in June 2023 (UGC Approved Journal).
• The paper “Intelligent Forest Assessment: Advanced Tree Detection and Enumeration with AI” was published in the International Journal of Research Publication and Reviews in May 2024 (UGC Approved Journal).
• The paper “AI-Powered Forest Inventory: Advancing Tree Detection and Enumeration” appeared in the International Journal of Progressive Research in Engineering Management and Science in April 2024 (UGC Approved Journal).
• The paper “IoT Based Pet Day Care Robot” was published in the International Journal of Progressive Research in Engineering Management and Science in May 2024 (UGC Approved Journal).
• The paper “Advanced Product Helpfulness Detection Using BERT & LSTM” was published in the International Journal of Scientific Research in Engineering and Management in June 2025 (UGC Approved, Google Scholar, DOI: 10.55041/IJSREM50318).
• The paper “Number Plate Detection Using OpenCV” was published in the International Journal of Advanced Research in Science, Communication and Technology in June 2025 (DOI: 10.48175/IJARSCT28045).
• The paper “Lung Cancer Detection Using Machine Learning” was published in the International Journal of Leading Research Publication in June 2025 (UGC Approved, Google Scholar).
• The paper “Deep Learning for Heart Disease Prediction with Improved Normalization Techniques” was published in the International Journal for Research in Applied Science & Engineering Technology (IJRASET) in June 2025 (UGC Approved Journal).
• The paper “Deep Neural Network Based Forgery Identification by Object Detection in Images” was also presented at the AICTE Sponsored National Conference on Engineering Applications of Artificial Intelligence (NCEAAI – 2022) in February 2022,

Patents:

• Artificial Intelligence Protection Measures Against Artificial Intelligence (2024)

Certified Courses:

• NPTEL “Research Methodology and Statistical Analysis”.

• NPTEL “Programming in JAVA”.
• NPTEL “programming for problem solving using C” .
• NPTEL “ Joy of computing using Python”.

FDPs & Workshops Attended:

More than 20+ FDPs and workshops, including:

• NPTEL FDPs on Data Science, Python, JAVA
• UGC-NEP Orientation
• ICT Academy, AICTE workshops & FDPs
• Yoga