Faculty

Core Research Domains:

• Data Mining
• Machine Learning
• Deep Learning

• Atul Kumar Ramotra, Amit Mahajan, Vibhakar Mansotra, “Sparse Autoencoder and Deep Learning Based Framework for Multi-label Classification of Chronic Diseases”, In Book, Rising Threats in Expert Applications and Solutions, July 2022.
• Atul Kumar Ramotra, Vibhakar Mansotra, “Feature Raking and Stacked Sparse Autoencoder based Framework for the Prediction of Breast Cancer”, International Journal of Engineering Trends and Technology, Volume 70, Issue 5, Pages 103-110, May 2022.
• Atul Kumar Ramotra, Vibhakar Mansotra, “A Hybrid Cluster and PCA-Based Framework for Heart Disease Prediction Using Logistic Regression”, In Book, Rising Threats in Expert Applications and Solutions, October 2020.
• Atul Kumar Ramotra, Vibhakar Mansotra, “Comparative Analysis of Data Mining Classification Techniques for Prediction of Heart Disease Using the Weka and SPSS Modeler Tools”, In Book, Smart Trends in Computing and Communications, Dec. 2019.
• Atul Kumar Ramotra, Vibhakar Mansotra, “Hybrid Type-2 Diabetes Prediction Model Using SMOTE, Kmeans Clustering, PCA, and Logistic Regression”, Asian Pacific Journal of Health Sciences, Vol. 8, July 2021.
• Atul Kumar Ramotra, Vibhakar Mansotra, “Predictive Analysis of Type-2 diabetes using data mining classification techniques”, Twenty-Seventh International conference of forum for interdisciplinary mathematics in conjunction with third convention of IARS held at Dept. of Statistics, University of Jammu.
• Atul Kumar Ramotra, Vibhakar Mansotra, “Application of Various Decision Tree Algorithms for Prediction of Heart Disease”, Emerging Trends in Quality Assurance and Enhancement in Software Development, Conference held at Dept. of CS&IT University of Jammu.
• Amit Mahajan, Atul Kumar Ramotra, Vibhakar Mansotra, “An Automated Framework to Uncover Malicious Traffic for University Campus Network”, In Book, Smart Trends in Computing and Communications, 2019. 
• R Kumar, Atul Kumar Ramotra, A Mahajan, V Mansotra, “Design and implementation of rule-based hindi stemmer for hindi information retrieval”, In Book, Smart Trends in Computing and Communications, Dec. 2019.
• Atul Kumar Ramotra, Anju Bala, “Task Level Scheduling in Cloud Computing Using X-Bar Chart”, International Journal of Advance Research in Computer Science and Software.
• Lalit Damahe, Ganesh Yenurkar, Sulakshana Mane, Atul Kumar Ramotra, Goldi Jarbais & Vincent O. Nyangaresi, “Optimizing image retrieval by leveraging YCbCr colour space quadtree segmentation and deep learning models for enhanced accuracy and efficiency”, The Imaging Science Journal. March 2025 (SCIE).

• Book Publication :

• “Machine Learning and Deep Leaning techniques using Python”, ISBN-978-81-980512-26, Swastik International Publication, November, 2024.

• Patents:

1. “Smart medical image processing system using Deep learning”, July 2024.

• Papers Reviewed:

• Reviewer for 5th IEEE India Council International Subsections Conference, held at PEC Chandigarh, August 2024.  

•  WORKSHOPS/FDP/WEBINARS ATTENDED:

• Workshop “Machine Learning and Its Applications” from 18th to 20th April 2018 held at IIT Roorkee. 
• Workshop “Research Methodology Course”, from 24th to 25thMay 2018 held at University of Jammu. 
• Workshop “Data Analytics and Data Science”, from 10th to 15th Sep. 2018 held at University of Jammu. 
• Workshop “Artificial Intelligence & Deep Learning”, from 29th Sep. to 1st Oct. 2018 held at MIET Jammu. 
• FDP on “Machine learning and Deep learning: The subfields of Artificial Intelligence”, from 18th to 22nd Nov. 2019 held at Central University of Jammu. 
• One day Webinar on “Diabetes Prediction using Machine Learning”, on 30th of Sep. 2020, organized by Computer Society of India. 
• Webinar on “Future aspects in Artificial Intelligence Machine Learning and Big Data Analytics”, by DIT University, held on 24th April 2021.
• One week FDP on “Deep Learning and IOT Driven Smart Applications” from 24th to 29th June, 2024, organized by MLRIT college, Hyderabad.

• Two week STTP on “Research Writing, Funding Proposal Development, and Patent Drafting” from 8th to 20th July, 2024 organized by Vidya Vihar Institute of Technology, Purnea, Bihar, India & RSP Science Hub, Coimbatore, Tamil Nadu. 
• One week FDP on “UI-Design Flutter” from 22nd to 27th July 2024, organized by GNITC institute.

ACADEMIC ACHIEVEMENTS: 

• National Level Eligibility Test for Assistant Professor (NET) Qualified. 
• State Level Eligibility Test for Assistant Professor (JK- SET/SLET) Qualified. 
• GATE Qualified. 
• Cleared J&K Common Entrance Test to secure engineering (B.Tech) seat in State Govt. Engineering College. 
• TEACHING EXPERIENCE: 
• Five years of total teaching experience.