Dr. Nipun Bansal

Qualification:-  B.Tech (DCE), M.Tech (IIIT Delhi), Ph.D. (DTU)

Office: Room No. 215B, Academic Building 4 (AB-4), DTU

I have been serving as an Assistant Professor in the Department of Computer Science and Engineering at Delhi Technological University (DTU) for the past 10 years. I am seeking exceptionally motivated students who are committed to rigorous research, publishing in Tier-1 international conferences and IEEE Transactions, and pursuing graduate studies at world-leading universities. I currently collaborate with DRDO through sponsored research projects on research spanning Biometric Security, Time Series Analysis and Forecasting, employing state-of-the-art Artificial Intelligence and Machine Learning techniques to solve challenging real-world problems.
I am also Cordinator for Information Security and CyberIntelligence (ISCI) Lab at AB3-706 for research and projects. 

Assistant Professor in the Department of Computer Science and Engineering in DTU since October 2016. 

Machine Learning
Object-Oriented Programming 
Database Management System
Operating Systems
Information Security
Big Data Analytics

Journal Publications

1. Adaptive Weighted Graph Approach to Generate Multimodal Cancelable Biometric Templates
   Journal: IEEE Transactions on Information Forensics and Security, 2020.
2. Unified Graph-Based Multicue Feature Fusion for Robust Visual Tracking
   Journal: IEEE Transactions on Cybernetics, 2020.
3. Computation of Energy Across the Type-C Piano Key Weir Using Gene Expression Programming and Extreme Gradient Boosting (XGBoost) Algorithm
   Journal: Energy Reports, 2023.
4. Prediction of Aeration Performance of Different Types of Piano Key Weirs Using Different Machine Learning Models
   Journal: Journal of Water and Climate Change, 2024.
5. Prediction of Inlet-to-Outlet Width Ratio of Type-A Piano Key Weir Using Fuzzy Neural Network (FNN)
   Journal: Journal of Water and Climate Change, 2024.
6. FuzzyBandit: An Autonomous Personalized Model Based on Contextual Multi-Arm Bandits Using Explainable AI
   Journal: Defence Science Journal, 2024.
7. Hybrid-Neuro Bandit: A Bandit Model for Online Recommendation
   Journal: Defence Science Journal, 2024.
8. Extrapolating Wind-Induced Interference on Mono-Slope Roof of Low-Rise Buildings: CFD Simulation vs XGBoost Algorithm
   Journal: Journal of Vibration Engineering & Technologies, 2026.

Conference Publications

1. Renewable Energy and Load Demand Forecasting Using Multivariate Time Series Foundation Model
   N. Bansal, S. Pai, Y. Bansal
   2025 IEEE 4th International Conference on Smart Technologies for Power, 2025.
2. Enhancing DG Hosting in Renewable-Integrated Distribution Networks Using Dynamic Reconfiguration
   Y. Kamal, Y. Bansal, N. Bansal
   2025 12th International Conference on Electrical and Electronics Engineering, 2025.
3. From Natural Language to SQL: A Survey on LLM-Based Text-to-SQL Research and Applications
   R.G. Soni, N. Bansal
   International Conference on Next-Generation Networks and Deployable Intelligence, 2025.
4. ContextPOI: A Contextually-Enhanced Embedding Framework for Point of Interest Category Recommendation Using Large Language Models and BERT Embeddings
   N. Bansal, K. Poddar, H. Goyal, K. Singhal
   2025 International Conference on Engineering Innovations and Technologies, 2025.
5. Web Personalization with Large Language Models: Challenges and Future Trends
   N. Bansal, M. Bala, K. Sharma
   International Conference on Paradigms of Communication, Computing and Data Sciences, 2025.
6. A Comparative Study on Clickbait Detection Using Machine Learning Based Methods
   K.K. Yadav, N. Bansal
   2023 International Conference on Disruptive Technologies (ICDT), 2023.
7. Clickbait Detection Using Bi-LSTM Model
   K.K. Yadav, N. Bansal
   2023 International Conference on Computational Intelligence for Information Systems, 2023.
8. Comparative Study of Seq2Seq and Transformer Model for Chat Bot
   N. Bansal, A.K. Singh, A. Kumar, A. Tyagi
   2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence, 2023.
9. Automating Error Identification and Evaluating Web Accessibility for Differently Abled Users
   N. Bansal, Siddharth, B. Jain, S. Patel
   International Conference on Data Analytics & Management (ICDAM 2023), 2023.
10. A Systematic Review on Web Personalization Recommendation System
    N. Bansal, M. Bala, K. Sharma
    KILBY 100 – 7th International Conference on Computing Sciences, 2023.
11. Grade Classification of Breast Cancer Using Deep Learning
    K. Rajak, N. Bansal, R. Anand
    2023 3rd International Conference on Pervasive Computing and Social Networking, 2023.
12. High Security Network for IoT Using Edge Computing
    N. Bansal, Y. Singh
    KILBY 100 – 7th International Conference on Computing Sciences, 2023.
13. Enhancing Supply Chain Management Using Blockchain Technology
    K. Gupta, L. Goel, M. Gupta, N. Bansal
    2022 2nd International Conference on Intelligent Technologies (CONIT), 2022.
14. A Comparative Analysis on Web Personalization Techniques
    N. Bansal, S. Choudhary, U. Patiyal
    RACCCS 2021 – Ambient Communications and Computer Systems, 2022.
15. EvilPi: Exploiting Public Wi-Fi Using Raspberry Pi and Prevention Techniques
    S. Sinha, B. Jain, S. Patel, N. Bansal, K. Sharma
    International Conference on Innovative Computing and Communications, 2022.
16. Detecting Hate Speech and Offensive Language Using Transformer Techniques
    M. Bindra, B. Sharma, N. Bansal
    International Conference on Micro-Electronics and Telecommunication Engineering, 2021.
17. Lung Cancer Prediction Using Machine Learning Techniques with Statistical Approach for Gene Selection
    M. Anand, N. Bansal
    3rd International Conference on Soft Computing and Signal Processing (ICSCSP), 2021.
18. Understanding and Analyzing Consensus Algorithms for Blockchain
    N. Bansal, M. Singhal, M. Rastogi, L. Arora
    Conference Proceedings, 2021.
19. Breaking Audio Captchas for IRCTC Booking Automization
    N. Bansal, M. Sachdeva, T. Mittal
    Proceedings of International Academic Conferences, 2018.
20. Design of Smart Cooling System for Data Centres
    M. Kumar, N.R. Bansal
    Conference Proceedings, 2015.