Sumit Kumar Pushkar

About

Sumit Kumar Pushkar is an Assistant Professor in the Department of Computer Applications at Sharda University. He completed his M.Tech. in Computer Science and Technology with a specialization in Cyber Security from the Central University of Punjab, Bathinda, in 2025. He earned his B.Tech. from B. P. Mandal College of Engineering, Madhepura, Bihar, affiliated with Bihar Engineering University, Patna. He has a year of teaching experience, and his research interests include Machine Learning, Deep Learning Techniques, Cybersecurity, and Big Data Analytics.

Experience

01+ Years

Qualification

• M. Tech in Computer Science & Technology (Cyber Security) in 2025,
• B. Tech in CSE in 2023

Award & Recognition

Awarded Two Gold Medals during M. Tech:

1. University Gold Medal: Secured Rank 1 in M. Tech Computer Science & Technology (Cyber Security) at the Central University of Punjab.
2. Sitaram Jindal Foundation Gold Medal: Awarded the prestigious medal for outstanding overall academic excellence during post-graduation.
3. Elected for Constitution of Students Council 2023-24 in Central University of Punjab as per provision given in Statue 36 (2nd Schedule) of the Central Universities Act 2009 and the approval of the Competent Authority.

Research

1. Title: Enhancing Image Classification Accuracy Using Transfer Learning with Pretrained CNNs
   • Description:This study conducts a detailed investigation on the improvement of image classification performance using transfer learning methods with pre-trained convolutional neural networks (CNNs). The goal of this research is to improve reliability and efficiency of models trained on various datasets, with adaptive fine-tuning methods.
2. Title: Hybrid Swarm Intelligence and Deep Neural Network Framework for Non-Contact Heart Rate Classification from Facial Video Streams.

Certifications

• Machine Learning Using MATLAB
• AI RESEARCH WITH MATLAB & SIMULINK
• 7 Days Advanced Hacking Workshop
• 12 Days FDP on Artificial Intelligence

Area of Interest

Machine Learning, Deep Learning Techniques, Cybersecurity, IoT, and Big Data Analytics.