Brief Profile

• 14 years of teaching experience in the field of IT at both UG and PG level.

• Proficient in developing new lessons and activities to expand learning opportunities.

• Worked as NAAC criteria coordinator for UGC Inspection.

• Worked as project guide for various projects at both UG and PG Level.

Areas of interest in Teaching

•  Programming in C/C++/Java/Data Analytics Using Python

•  Data Structures & Algorithms, Data Analytics Using Python, Database Management Systems,  Software Engineering, Operating Systems, Microprocessors, System Software, Machine Learning

Areas of interest in Research

Artificial Intelligence, Image Processing, Computer Vision, Machine Learning, Deep Learning, and Steganography

Research Work and Publications

• P. Shrivastav and A. K. Thavani Andu, “Uncertainty-Aware Confidence Calibration for Reliable Object Detection,” in Proc. 9th Int. Conf. on Trends in Electronics and Informatics (ICOEI), IEEE, 2026, pp. 1864–1869.

• P. Shrivastav and A. K. Thavani Andu, “Unified Enhancement–Detection Frameworks for Higher Precision in Low-Light Object Recognition,” International Journal of Intelligent Engineering and Systems, vol. 19, no. 7, pp. 537–557, 2026, doi: 10.22266/ijies2026.0731.32.

• P. Shrivastav and A. K. Thavani Andu, “Enhancing Object Detection in Low-Light Conditions using Synthetic Data Augmentation,” in Proc. 3rd Int. Conf. on Emerging Applications of Material Science and Technology (ICEAMST), IEEE, 2025, pp. 708–713.

• P. Shrivastav and A. Srivastava, “Real-Time Facial Expression-Based Multimedia Recommendation System Using Deep Learning,” in Proc. Int. Conf. on Artificial Intelligence and Smart Energy, Springer Nature, 2025, pp. 423–434.

•  P. Shrivastav, S. Mishra, and S. Kumar, “AI-Powered Multimodal Approach for Secure Online Examinations,” in Proc. 4th Int. Conf. on Innovative Mechanisms for Industry Applications (ICIMIA), IEEE, 2025, pp. 1520–1525.

• P. Shrivastav and A. Srivastava, “Interpretable Machine Learning Approaches for Balanced Credit Card Fraud Detection,” in Proc. 5th Int. Conf. on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN), IEEE, 2025, pp. 441–446.

• V. Vijayalakshmi, P. Shrivastav, and G. Thiyagarajan, “Facial Expression-Based AI System for Personalized Music Recommendations,” in Proc. Int. Conf. on Advances and Applications in Artificial Intelligence (ICAAAI), Atlantis Press, 2025, pp. 273–285.

• G. Rakshitha, I. M. Rozana, R. B. Patil, and P. Shrivastav, “Efficient Handwritten Text Recognition Using Residual Networks and BiLSTM,” in Proc. Int. Conf. on Innovations and Advances in Cognitive Systems, Springer Nature, 2025, pp. 47–59.

• M. Sadasivan and P. Shrivastav, “Enhancing Breast Cancer Diagnosis Through Machine Learning and Explainable AI: A Transparent and Interpretable Method for Clinical Decision,” in Proc. Int. Conf. on Web Intelligence and Human-Machine Interaction, Springer Nature, 2025, pp. 771–788.

• E. Sathyamurthy, P. Shrivastav, S. Sabarinath, and D. C. Sagar, “A Systematic Method for Identifying Forged Brand Logos,” in Proc. Int. Conf. on Computational Innovations and Sustainable Technologies (ICCIST), IEEE, 2025, pp. 1–6.

• P. Shrivastav and A. K. Thavani Andu, “Integrated Approach for Real-Time Human Counting, Tracking, and Direction Estimation using Advanced Algorithms,” in Proc. 15th Int. Conf. on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, pp. 1–6.

• P. Shrivastav, “Advancements and Challenges in Low-Light Object Detection,” in Proc. 2nd Int. Conf. on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), IEEE, 2024, pp. 1351–1356.

• P. Shrivastav, “A Real-Time Crowd Detection and Monitoring System using Machine Learning,” in Proc. Int. Conf. on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), IEEE, 2023, pp. 383–388.

• P. Shrivastav and M. Sadasivan, “Blockchain-Based System for Secure Data Sharing in Cloud using Machine Learning: Current Researches and Challenges,” in Proc. Int. Conf. on Innovative Data Communication Technologies and Application (ICIDCA), IEEE, 2023, pp. 1078–1084.

• P. Shrivastav and A. Srivastava, “Exploring the Dynamics and Implications of Offline Peer-to-Peer Payments,” in Proc. 14th Int. Conf. on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2023, pp. 1–5.

• Presented a paper titled ‘Triangular Fuzzy Shortest Path using Ranking Methods’ at the International Conference on ‘Information & Communication Engineering (ICICE-2013)’ at Dr. Ambedkar Institute of Technology, Bangalore.

• Research work  on 'Steganography and its Implementation Techniques '

• Published a reference book on Database Management Systems for MCA students.

Patents Published

• Lashbot- A Robotic Eyeliner (2023)

• MoodAura Neckband-Your Personal Emotional Companion (2024)

• AI-integrated Personalized Monitoring for Migraine Management (2025)

• Sustainable Solar-Integrated Gravity-based Water management system with IoT Monitoring (2025)

• Explainable AI-Driven Wearable System for Real-Time Predictive Fall Prevention Based on Dynamic LOG (2026)