Dr. Deependra Rastogi

About

Dr. Deependra Rastogi is a distinguished Associate Professor in the Department of Computer Science and Application, Sharda School of Computing Science and Engineering, Sharda University, Greater Noida. He has previously served at IILM University, Greater Noida, Galgotias University, Teerthanker Mahaveer University, Shree K. P. Dholakiya Infotech Mahila College, and IGNOU, where he made significant contributions to teaching, research, academic administration, and industry-oriented training. He holds a Ph.D. in Computer Science and Engineering from Galgotias University, an M.Tech. in Computer Science and Engineering from Uttarakhand Technical University, and an MCA from Uttar Pradesh Technical University. His doctoral research focused on applying deep learning and advanced computational techniques for brain tumor detection, segmentation, and survival prediction. With over 18 years of academic and research experience, Dr. Rastogi has established expertise in Artificial Intelligence, Machine Learning, Deep Learning, Medical Image Analysis and Computer Vision. He has published 18+ journal papers, 37+ international conference papers, 3 book chapters, and holds 7 patents, with his research appearing in leading SCI/SCIE, ESCI, and Scopus-indexed journals. His research has gained significant academic recognition, with an h-index of 10, and an i10-index of 11.

Experience

• 18+ years of teaching, research, and academic administration experience.

Qualification

• Ph.D. in Computer Science & Engineering, Galgotias University, Greater Noida.
• M.Tech. in Computer Science & Engineering, Uttarakhand Technical University, Dehradun.
• MCA, U.P. Technical University, Lucknow.
• B.Sc. (PCM), Rohilkhand University, Bareilly.

Award & Recognition

• Best Research Paper Award from UPCON-2025.
• Second Position in the Advanced Technology Certified Faculty (ATCF) Project Challenge on Artificial Intelligence and Machine Learning.

Membership

• IEEE Professional Member

Total Recognitions: 10+ (including Wipro Certifications, Certificates of Excellence, Session Chair Recognition, Appreciation Awards, and Faculty Achievement Awards).

• Secured Second Position in the Advanced Technology Certified Faculty (ATCF) Project Challenge on Artificial Intelligence and Machine Learning, organized under the Wipro TalentNext Advanced Technology Program.
• Wipro Certified Faculty under the Digital Skills Readiness Program, successfully completing certification and project-based learning in Java J2EE and Advanced Technologies.
• Certificate of Excellence awarded under the TalentNext Advanced Technology Certified Faculty Program for successful completion of the Artificial Intelligence project (November 2022 – March 2023).
• Certificate of Appreciation for outstanding contribution as Session Chair during the 6th International Conference on System Modeling & Advancement in Research Trends (SMART 2017).
• Certificate of Appreciation for outstanding contribution to KHOJ-9 (2K18) organized by the College of Computing Sciences and Information Technology (CCSIT), Teerthanker Mahaveer University.

Research

Total: 73+ Research Contributions (Including Journal Publications, International Conference Publications, National Conference Publications, Book Chapters, Patents)

Publications:

• Rastogi, D., Johri, P., Kadry, S., et al. XcepFusion for Brain Tumor Detection Using a Hybrid Transfer Learning Framework with Layer Pruning and Freezing. Scientific Reports (Nature), 2025. (SCIE, Q1, IF: 3.9).
• Rastogi, D., Johri, P., Donelli, M., Kumar, L., et al. Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks. Life, 2025, 15(3), 327. (SCIE, Q1, IF: 3.4).
• Rastogi, D., Johri, P., Donelli, M., et al. Deep Learning-Integrated MRI Brain Tumor Analysis: Feature Extraction, Segmentation, and Survival Prediction Using Replicator and Volumetric Networks. Scientific Reports (Nature), 2025. (SCIE, Q1, IF: 3.9).
• Rastogi, D., Johri, P., Tiwari, V., & Elngar, A. A. Multi-Class Classification of Brain Tumour Magnetic Resonance Images Using Multi-Branch Network with Inception Block and Five-Fold Cross Validation Deep Learning Framework. Biomedical Signal Processing and Control, 2024, 88, 105602. (SCIE, Q1, IF: 4.9).
• Dhanda, S. S., Panwar, D., Lin, C., Sharma, T. K., Rastogi, D., et al. Advancement in Public Health Through Machine Learning: A Narrative Review of Opportunities and Ethical Considerations. Journal of Big Data, 2025. (SCIE, Q1, IF: 6.4).

Certifications

• Wipro Certified Java Faculty

Area of Interest

• Java Programming, Machine Learning, Deep Learning, Image Processing