FACULTY PROFILE

Dr Narendra Singh completed his M Tech and PhD from the Indian Institute of Technology (IIT) Patna, India. His research focuses on leveraging Artificial Intelligence for early-stage malware detection through static and dynamic analysis techniques, contributing to the development of intelligent and robust cybersecurity solutions.

He has actively contributed to several cybersecurity research initiatives, including the Centre of Excellence in Cyber Crime Prevention against Women and Children Safety, a prestigious project sponsored by the Ministry of Home Affairs, Government of India. His research interests include Artificial Intelligence, Machine Learning, Malware Analysis, Cyber Threat Detection, and Cybersecurity.

Education
PhD 2025 Indian Institute of Technology Patna
M Tech 2020 Indian Institute of Technology Patna 
Experience
July 2026 – Till Date Assistant Professor, Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi
July 2025 - June 2026 SRM University, Andra Pradesh
Oct 2022 - Aug 2023  FET Jain  University, Bangalore
Aug 2020 – March 2022 Project Fellow, IIT Patna Research and Development Unit

AIMLDL Application (CS361)

Research Interest
Malware Analysis and Detection, 
Intrusion Detection System, 
Quantum Machine Learning for Security, 
Quantum Threat Modeling

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Journals: 

1. Narendra Singh and Somanath Tripathy (2025), Unveiling the veiled: An early stage detection of fileless malware, Computers & Security, 150 (2025) 104231.

 2. Narendra Singh and SomanathTripathy(2024), It’s too late if exfiltrate: Early stage Android ransomware detection, Computers & Security, 141 (2024), 103819. 

3. Narendra Singh and Somanath Tripathy, FedShield: Federated Learning based Robust Online Payment Fraud Detection, The Journal of Supercomputing 81.13 (2025): 1289.

4. Narendra Singh and Somanath Tripathy, TraceX: Early-Stage Advanced Persistent Threat Detection Framework Using Semantic Network Traffic Analysis, Computer Network, 282 (2026), 112288. 

5. Sanaya Malik , Narendra Singh and Somanath Tripathy, Semantic characterization of android malware through runtime system call analysis, Journal of Information Security and Applications, 98 (2026), 104406 

 

Conferences: 

1. Narendra Singh and Somanath Tripathy (2023), MDLDroid: Multimodal Deep Learning based Android Malware Detection, 19th International Conference on Information Systems Security- ICISS 2023, 

https://link.springer.com/chapter/10.1007/978-3-031-49099-6_10

 2. Narendra Singh and Somanath Tripathy and Bruhadeshwar Bezawada (2023), SHIELD: A Multimodal Deep Learning Framework For Android Malware Detection, 18th International Conference on Information Systems Security- ICISS 2022, https://link.springer.com/chapter/10.1007/978-3-031-23690-7_4 

3. Somanath Tripathy, Narendra Singh and Divyanshu N Singh, ADAM: Automatic Detection of Android Malware, 14th International Conference on Security for Information Technology and Communications– SECITC 2021, 

https://link.springer.com/chapter/10.1007/978-3-031-17510-7_2

4. Narendra Singh and Somanath Tripathy, Collaborative learning based effective malware detection system, Work shops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD2020), https://link.springer.com/chapter/10.1007/978-3-030-65965-3_13

 

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1. Selected for a Research Internship at Telecom Paris  (43rd QS World University Rankings), France, under the supervision of Prof. Msahli, for the period March 1, 2022 - August 29, 2022.

2. Second position in “the VJ Hackathon on problem statement Crop Nutrient Disasters”, organized by Valluru-
palli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Telangana, India
 

Intelligent Threat Analytics and Quantum Security Lab (ITAQS Lab)

Dr Narendra Singh

Assistant Professor
Computer Science and Engineering
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