Vyom Kulshreshtha

About

Mr. Vyom Kulshreshtha is a highly experienced academician with over 18 years of experience in teaching and research. He is currently serving as Training and Placement Coordinator (ASET). He has made significant contributions through high-impact SCI/Scopus publications, and national and international patents. His core expertise lies in Artificial Intelligence, Machine Learning, Digital Image Processing and Cyber Security. Mr. Vyom Kulshreshtha is life time member (MIE) of Institution of Engineers (India). He is also a member of the International Association of Engineers (IAENG).

Experience

18+ Years

Qualification

PhD CSE (Pursuing), M.Tech CSE, B.Tech IT

Research

Research Papers in SCOPUS/SCI:
 1. “Optimized Multi-Task Evolutionary Artificial Neural Network Fostered Crypto-Ransomware Prevention in File-Sharing Scenarios with Encrypted Traffic”, Engineering, Technology and Applied Science Research, Vol 15, Issue 6, pp 30663-30668, December 2025. https://doi.org/10.48084/etasr.11023

2.    “Enhancing Ransomware Detection Accuracy through Data-Driven Incremental Machine Learning Models for Predictive Analysis”, 2nd International Conference on Multidisciplinary Research and Innovations in Engineering (MRIE-2025), pp. 727-732, July 2025. DOI: 10.1109/MRIE66930.2025.11156558

3.    “Multiple Feature-Based Recurrent Neural Network for Highly Accurate Ransomware Detection in Android Devices”, Fusion: Practice and Application, Vol 19, Issue 1, pp. 75-83, April 2025. DOI: https://doi.org/10.54216/FPA.190107

4.    “Optimization of flexible antenna parameters through artificial neural network learning with multilayer perceptron feed forward back propagation”, Book chapter in Integrated Technologies in Electrical, Electronics and Biotechnology Engineering, Edition 1,Taylor & Francis, 2025.

5.    “Machine Learning Based Intrusion Detection System For Enhancing Network Security For IoT Environment”, 3rd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2024), pp. 489-503, September 2024, DOI: https://doi.org/10.1007/978-981-96-5370-6

6.    “An Efficient Crypto Based Ransomware Prevention Method in Android Platform”, IEEE World Conference on Applied Intelligence and Computing (AIC 2024), pp. 1322-1330, July 2024. DOI: 10.1109/AIC61668.2024.10730872.

7.    “A study of Crypto-ransomware using Detection Techniques for Defense Research”, Congress on Intelligent Systems (CIS-2022), Christ Deemed to be University, Bengaluru, September 2022. https://doi.org/10.1007/978-981-19-9379-4_11
8.    “Deep Learning Algorithms in EEG Signal Decoding Application: A Review”, IEEE Access, 2021. DOI: 10.1109/ACCESS.2021.3105917 
 

Patents
1.    Granted a UK patent for the design of  “Smart Integrated Healthcare and Home Automation Computing Device with Predictive AI Capabilities”. Design no. 6505778, February 2026.
2.    Granted a Patent for the design of  “Automated Pest Controller for Smart Agriculture”. Design no. 473468-001, January 2026.

3.    Published a Patent for the design of “AI based Table Calendar cum Wireless Speaker”. Application no. 435094-001, October 2024.
4.    Granted a patent for the design of  “Air Purify Cum Smart Wall Clock”. Design no. 396361-001, September 2023.

Area of Interest

• Artificial Intelligence and Machine Learning
• Digital Image Processing
• Cyber Security