Rate My Professor Baijnath Kaushik

Dr. Kaushik has supervised seven Ph.D. theses, six of which have been awarded as of 2024, covering topics like IoV security, suicidal ideation prediction, Alzheimer’s detection, anticancer drug response, and RFID authentication. He serves as Principal Investigator for the High-End Computing AI and Deep Learning Lab funded by the Jammu and Kashmir Higher Education Department (₹1.65 crore, 2021–2025) and Co-Principal Investigator for the Trans-disciplinary Research and Innovation Hub (₹1 crore). His patented innovations include "A Novel Machine Learning Based Data-driven Device for Precision Agriculture" (Patent No. 6323441) and "Digital Antibiotic Vials Auger Filling Machine" (UK Design Patent No. 6319100). Select publications encompass "A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification" (IEEE Access, 2024), "Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection" (Computers, Materials & Continua, 2024), "CTDN: An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction" (Computational Biology and Chemistry, 2023), "Performance Evaluation of Deep Dense Layer Neural Network for Diabetes Prediction" (Computers, Materials & Continua, 2023), and "Takri Touching Text Segmentation Using Statistical Approach" (Sādhanā, 2023). He has delivered over 20 invited talks on AI, machine learning, and data science at institutions including IIT Roorkee, Jammu University, and MIET Jammu. Awards include the Research Excellence Award 2023 from Vishwa Intellectual Property Conclave, Pune, alongside outstanding performance appraisals from SMVDU.