0000-0001-5349-4874 About
Introduction
Mr. Anil Kumar is currently working as an Associate Professor in the Department of Computer Science at Deen Dayal Upadhyaya College, University of Delhi, India. He received his bachelor’s degree in computer application from the University of Delhi and a master’s degree in computer application from IIT, Roorkee in the year 2000 and 2003 respectively, and the M.Tech degree in Computer Science and Engineering in the year 2007. He also qualified National Eligibility Test (UGC-NET) in the year 2005. He acquired his first-class degree of LLB (Bachelor of Law) from the University of Delhi in the year 2015. He is a distinguished academician with extensive teaching and research experience in Computer Science and Information Technology and contributed to the field through publications, curriculum development, and active participation in academic and institutional governance. He served as the Secretary of the Delhi University Teachers’ Association (DUTA) during 2023-2025. Mr. Kumar is deeply engaged in issues concerning higher education, teachers’ welfare, and academic reforms within the University of Delhi.
Work Experience
Deen Dayal Upadhyaya College, University of Associate Professor since June,2021.
Delhi Assistant Professor April 2009-June 2021
Netaji Subhash Institute of Technology, New Assistant Professor July,2008-April,2009
Delhi
Hierank Business School, Noida, Uttar Pradesh Assistant Professor Aug. 2007 to June 2008
Apeejay Institute of Technology, Greater Noida Assistant Professor March, 2004- Aug. 2007
Education
Degree Institution Year
B.C.A. University of Delhi. 2000
M.C.A. IIT Roorkee 2003
MTech (CS) JRN University 2007
LL.B. University of Delhi 2015
Ph.D. (CS), continuing.. Galgotias University 2021
Publications
(1) "Evaluation of Mobile-Based Digital Payments and Challenges: An Indian Context," Jitendra Singh, Anil Kumar, Kamlesh kumar, International Journal of Digital Literacy and Digital Competence (IJDLDC) 2021, Volume 12, Issue 1: 15-29. doi: 10.4018/IJDLDC.2021010102
(2) S. Wadhera, D. Kamra, A. Kumar, A. Jain and V. Jain, "A systematic Review of Big data tools and application for developments," 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM), 2021, pp. 561-566, doi:0.1109/ICIEM51511.2021.9445326
(3) Swagat Rameshchandra Barot, Subhanshu Goyal, and Anil Kumar Book Chapter on “Internet of Things: Inception and Its Expanding Horizon” in 2019 Handbook of IoT and Big Data. ISBN 13: 978- 1-1385-8420-4(CRC Press, Taylor & Francis Group)
(4) S. K. Verma, G. Kaur and A. Kumar, "Entropy Based ROI Extraction and Modified Contour Model for Image Segmentation," 2016 IEEE 6th International Conference on Advanced Computing (IACC), 2016, pp. 326-331.doi: 10.1109/IACC.2016.68
(5) Rakesh Kumar and Anil Kumar, Book Chapter on Digitalization in Rural India: A Step Towards Socio-Economic Transformation Amid the Pandemic in 2022 Handbook of Research on Digital Transformation Management and Tools, p. 284-298, IGI Global 10.4018/978-1-7998-9764-4.ch013
(6) Kumar, Anil, and Subhanshu Goyal. "Inclusiveness and sustainability of teaching and learning technologies amidst the COVID-19 pandemic in higher education: An Indian perspective." The role of sustainability and artificial intelligence in education improvement. Chapman and Hall/CRC, 2023. 133-150. https://doi.org/10.1201/9781003425779
(7) Anil Kumar, Shiv Kumar Verma and Subhanshu Goyal, “Traffic Accident Modelling and Prediction Algorithm using Convolutional Recurrent Neural Networks” ICAISA '23: Proceedings of the International Conference on Advances in IoT and Security with Computational Intelligence
https://doi.org/10.1007/978-981-99-5088-1_30
(8) Anil Kumar and Raju Ranjan, “Intelligent Traffic Identification System Powered by Convolutional Neural Networks” ICIMMI '23: Proceedings of the 5th International Conference on Information Management & Machine Intelligence https://doi.org/10.1145/3647444.3652469
(9) Verma, Shiv Kumar, Anil Kumar, and Raju Ranjan. "Machine Learning-Based Multimodal Traffic Congestion Prediction and Comparative Model Evaluation for Urban Mobility Optimization." 2025 IEEE 7th International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2025. 10.1109/ICCCA66364.2025.11325430
(10) Singh, Vanshika, et al. "Frequency-attention based Non-autoregressive Transformer (FANT) for long-sequence time series forecasting." Journal of Integrated Science and Technology 14.4 (2026): 1552-1552.
(11) Kumar, Anil, Shiv Kumar Verma, and Raju Ranjan. "Deep Learning Approach with Attention Mechanism for Multivariate Mixed Traffic Flow Prediction." Advances in Data Science and Adaptive Analysis (2026): 2650009.
(12) Modulation of Magnetic Properties in CsPbBr$_3$ Perovskite Quantum Dots by Reduced Graphene Oxide Interfacing (submitted)
Employment
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Deen Dayal Upadhyaya College Associate Professor2009 - Present
Education
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University of Delhi LLB2012 - 2015
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IIT MCA2000 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Deep Learning Approach with Attention Mechanism for Multivariate Mixed Traffic Flow Prediction Save
- Frequency-attention based Non-autoregressive Transformer (FANT) for long-sequence time series forecasting Save
- Machine Learning-Based Multimodal Traffic Congestion Prediction and Comparative Model Evaluation for Urban Mobility Optimization Save
- Intelligent Traffic Identification System Powered byConvolutional Neural Networks Save
- The Role of Sustainability and Artificial Intelligence in Education Improvement Save
- Advances in IoT and Security with Computational Intelligence Save
- Digitalization in Rural India Save
- A systematic Review of Big data tools and application for developments Save
- Evaluation of Mobile-Based Digital Payments and Challenges Save
- Handbook of IoT and Big Data [1-138-58420-7; 0-429-62493-X] Save