Faculty at School of Engineering

Professor Rajeev Kumar Singh

Professor Rajeev Kumar Singh

Dean & Professor

School of Engineering


Contact Information

Professor Rajeev Kumar Singh is a distinguished academic, researcher, and institution builder whose work spans the frontiers of computer science, artificial intelligence, and the broader societal implications of emerging technologies.

He holds a PhD in Computer Science & Technology from Jawaharlal Nehru University (JNU), New Delhi, and has built a research portfolio that bridges technical depth with real-world impact. His scholarly interests encompass Communication Networks and the application of Machine Learning across Computer Vision, Healthcare, and Computational Drug Discovery.

Beyond his research contributions, Professor Singh is currently authoring a forthcoming book tentatively titled Dynamics of AI: Pleasure, Politics and Programming , a substantive engagement with the societal, technological, and strategic dimensions of artificial intelligence that signals his commitment to thinking about AI not merely as an engineering problem, but as a civilisational one.

As an educator, Professor Singh has taught extensively at both the undergraduate and doctoral levels, earning recognition for the collaborative academic culture he nurtures among students and faculty alike. He is known for mentoring diverse faculty teams and championing interdisciplinary initiatives, complemented by active participation in international academic collaborations.

At Shiv Nadar Institution of Eminence, he has held several pivotal leadership roles including Dean of International Programs, Associate Dean Academics, and Chair of Admissions, in addition to his position as Professor of Computer Science and Engineering. Currently, he is the Dean of the School of Engineering and spearheading the school to the next level of progress.

Communication Networks and the application of Machine Learning across Computer Vision, Healthcare, and Computational Drug Discovery.

Ph.D., Computer Science & Technology, Jawaharlal Nehru University

M.Tech., Computer Science & Technology, Jawaharlal Nehru University

Bachelor of Information Science, Delhi University

Administrative Leadership

  • Dean – School of Engineering (June 1, 2026 onwards)
  • Dean – International Programs (July 1, 2024 – Present)
  • Chairperson – Admissions, Shiv Nadar University (November 1, 2023 – Present)
  • Associate Dean – Academics (August 2, 2021 – October 30, 2023)
  • Dean of Students, Shiv Nadar University (June 1, 2022 – October 31, 2022)
  • Associate Dean – Undergraduate Studies (July 1, 2019 – August 1, 2021)
  • Assistant Dean – Undergraduate Studies (March 16, 2016 – June 30, 2019)
  • UG Advisor, Department of CSE (2014 – 2016)
  • Coordinator of the Department of CSE (Equivalent to HoD) (2011 – 2014)

Academic Positions

Professor, CSE and Dean – School of Engineering  (2026 onwards)

Associate Professor Computer Science and Engineering (2019-2023),

Assistant Professor, Computer Science and Engineering (2011–2019)

Outstanding Teaching Award – Shiv Nadar University, 2021 Outstanding Service Award – Shiv Nadar University, 2014

Cognizant Technologies Outstanding Faculty Award – 2015
National and International Recognition:
Memberships (if any): ACM, IEEE

1) Srivastava, S. P., Gorantla, R., Chundru, S. K., Winkelman, C. J., Mey, A. S., & Singh, K. Explainable active learning framework for ligand binding affinity prediction, Digital Discovery 2026.

2) Deb, S., Rathod, M., Balamurugan, R., Ghosh, S. K., Singh, R. K., & Sanyal, S. Evaluating Conditional handover for 5G networks with dynamic obstacles, Computer Communication,Elsevier 2026.

3) Tiwari, A., Singh, R. K., & Shigwan, S. SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data, Neural Computing & Applications

4) Tiwari, A., Singhal, A., Shigwan, S. J., & Singh, R. K. (2024). Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures, Proceedings of the 15th Asian Conference on Machine Learning (PMLR)

5) Tiwari, A., Singhal, A., Shigwan, S. J., & Singh, R. K. Deep Learning Framework Using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia, Proceedings of the IEEE/CVF ICCV Workshops, 2023

6) Aja-Fern ́andez, S.,  Singh, R. K. et al. Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies, NeuroImage: Clinical

7) Panwar, E., Deb, S., Ghosh, S. K., & Singh, R. K. Analysing Blackout Probability for RIS Assisted cellular network, Proceedings of IEEE FNWF 2023.

8) Deb, S., Rathod, M., Balamurugan, R., Ghosh, S. K., Singh, R. K., & Sanyal, S. Evaluating Conditional handover for 5G networks with dynamic obstacles, Computer Communication

9) Tiwari, A., & Singh, R. K. ICVGIP ’22: Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing, December 2022.

10) Singh, R. K., et al. SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability, Plos one

11) Singh, R. K., et al. SHEG: summarization and headline generation of news articles using deep learning, Neural Computing and Applications.

12) Singh, R. K., Pandey, R., & Babu, R. N. COVIDScreen: explainable deep learning frame-work for differential diagnosis of COVID-19 using chest X-rays, Neural Computing and Applications.

13) Singh, R. K., & Gorantla, R. DMENet: diabetic macular edema diagnosis using hierarchical ensemble of CNNs, Plos one .

14) Gorantla, R., Singh, R. K., et al. Cervical cancer diagnosis using cervixnet-a deep learn-ing approach, IEEE 19th International Conference on Bioinformatics and Bioengineering

(BIBE), 2019.

15) Singh, R. K., Kumar, S., & Karmeshu. New approximation for pdf of K-distribution: ana-lytical study of QoS parameters in free space optical communication, IET Communications

16) Singh, R. K. Exact analytical BER expression in FSO using α-μ distribution proposed as an approximation of gamma-gamma PDF, 27th Wireless and Optical Communication Conference (WOCC), 2018.

17) Kumar, S., Singh, R. K., & Karmeshu. Exact distributions for bit error rate and channel capacity in free-space optical communication, IET Communications .

18) Singh, R. K., & Kumar, S. A novel approximation for K distribution: closed-form BER using DPSK modulation in free-space optical communication, IEEE Photonics Journal .

19) Kumar, T., & Singh, R. K. Analysis of compiler optimization techniques by using feature mining technique, 39th National Systems Conference (NSC), 2015.

20) Rastogi, K., Megha, K. B., Ghosh, S. K., & Singh, R. K. Evaluating DMM Based Handover Solutions Towards Serving uRLLc in Heterogeneous Networks, International Conference on Broadband Communications, Networks and Systems, 2024.