Assistant Professor(Selection Grade) Department of Computer and Communication Engineering
siddhanta.singh@jaipur.manipal.edu
9413144882
PHD, MODY UNIVERSITY, 2023
M.TECH., JAGANNATH UNIVERSITY, 2015
B.E., JORHAT ENGINEERING COLLEGE
, 1994
AIML
OBDII
Awarded Best Paper award at International Conference on Emerging Trends in Communication, Control, and Computing (ICONC3), February 2020, Mody University, Lakshmangarh.
Sun Certified Programmer for the Java Platform (SCJP), SE 5.0 from Sun Microsystems.
Microsoft Certified Technology Specialist (MCTS) from Microsoft.
Microsoft Certified Professional Developer (MCPD) from Microsoft
KPI team
Mentor
TG
Section Coordinator
IEEE membership
Siddhanta Kumar Singh, Anushka Tiwari, Antara Chakrabarti and Khushi Kinra, Performance Analysis of Customer Attrition Trend in Telecommunication Sectors using Machine Learning and Deep Learning, 6th International Conference of Emerging Technologies (INCET-2025), IEEE Xplore, 2025.
Siddhanta Kumar Singh and Anand Sharma, A Comprehensive Study of On-Board Diagnostics (OBD II) Systems in Internal Combustion Engine (ICE) and Electric Vehicle (EV)Vehicles: Structure, Data Management, Parameter IDs, 4th International Conference on Computational Intelligence in Machine Learning (Spinger), Dec 2024
Vijay Shankar Sharma, Siddhanta Kumar Singh, Atul Srivastava and Kamlesh Kumar Singh, Performance Analysis of Machine Learning Algorithms for Breast Cancer Prediction in Medical Sectors, 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES), IEEE Xplore, Feb 2025.
Siddhanta Kumar Singh, Vinod Mann and Ajay Kumar Singh, OBD II based performance analysis based on the fuel usage of vehicles, International Conference on Emerging Trends in Expert Applications & Security (ICE-TEAS 2023, Springer, Scopus Indexed). Vol 682, pp 159-168, June 2023.
Siddhanta Kumar Singh, Ajay Kumar Singh, and Anand Sharma, OBD - II based Intelligent Vehicular Diagnostic System using IoT, International Semantic Intelligence Conference 2021 CEUR-workshop proceedings (Scopus), vol. 2786, pp. 511-515, Feb 2021.
Siddhanta Kumar Singh, Ajay Kumar Singh, and Anand Sharma, Driving analysis for load and fuel consumption using OBD II diagnostics, International Conference on Advances in Information Communication Technology & Computing" (AICTC - 2021) Springer Nature (Scopus), Vol.392, pp 121-131, May 2021
Siddhanta Kumar Singh, Ajay Kumar Singh, and Anand Sharma, Intelligent Vehicular Diagnostic system based on IoT, International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), Feb 2020.
Siddhanta Kumar Singh and Anand Sharma, Revving Up Insights: Machine Learning-Based Classification of OBD II Data and Driving Behavior Analysis Using G-Force metrics, Bulletin of Electrical Engineering and Informatics, Vol. 14, No. 3, pp. 2188~2197, Jun 2025.
Siddhanta Kumar Singh, Vijay Shankar Sharma, Sandeep Kumar Sharma, Atul Srivastava and Anuradha Pillai, Securing OBD II Sensor Technology using Cryptographic Method in Safety-based Driver Behavior Analysis, Journal of Information and Optimization Sciences, Vol. 46, Issue 4A, pp. 949-956, May 2025.
Siddhanta Kumar Singh, Ajay Kumar Singh, Driving pattern analysis to determine driver behaviors for a local authority based on the cloud using OBD II, International Journal of Electrical and Computer Engineering Systems (Scopus), Vol. 3, No. 10, pp. 839-846, December 2022.
Siddhanta Kumar Singh, Ajay Kumar Singh, Vehicular impact analysis of driving for accidents using on-board diagnostic II, Bulletin of Electrical Engineering and Informatics (Scopus), Vol. 11, No. 5, pp. 2696-2704, Oct 2022.
Siddhanta Kumar Singh, Vijay Shankar Sharma, Hemlata Parmar, and Harpreet Kaur Channi, Comparative Analysis of Traditional vs. Deep Learning-Based Steganography Techniques, IGI Global Scientific Publishing, 2024 (doi:10.4018/979-8-3693-2223-9.ch011)
Hemlata Parmar, Vijay Shankar Sharma, and Siddhanta Kumar Singh, Blockchain and Steganography: A Deep Learning Approach for Enhanced Security, IGI Global Scientific Publishing, 2024 (doi:10.4018/979-8-3693-2223-9.ch012)
OBD-II Integrated Regenerative Braking Optimization System based on SoC and driving conditions (Patent published, 2025, Application No 202511060670)
System for Real-Time OBDII Data Compression and Transmission Using Neural Networks for Edge Devices (Patent published, 2025, Application No. 202511043188).
Adaptive Neural Network Architecture for Vehicles using Edge Computing (Patent published, 2025, Application No. 202511025630).
Method and System for Local Traffic Regulation (Patent published, 2024, Application No. 202411084366).
Diagnostics, Repair Recommendations and Predictive Maintenance For Vehicles Based On OBD II (Patent published, 2024. Application No. 202411089086).