Shikhar Vashistha and Neetesh Kumar, DAGGER: Dynamic Agentic Graph-Guided Efficient Reasoner for Container Image Dependency Optimization , 41st IEEE/ACM International Conference on Automated Software Engineering (ASE 2026), to be held in Munich, Germany, October 2026, Core Rank A*, Publisher: ACM/IEEE.

Vibha Bharilya and Neetesh Kumar, HATS: Hierarchical Adaptive Topology-aware Scene Encoding with Focal-conditioned Lane Scoring for Trajectory Forecasting , Workshop on Women in Computer Vision (WiCV) @ European Conference on Computer Vision (WiCV @ ECCV 2026), Core Rank A*, Accepted August 2026.

Shikhar Singh Lodhi, Neetesh Kumar, and Teena Sharma, Deep Deterministic Policy Gradient Method for Autonomous Vehicle Maneuvering through Multimodal LiDAR and RADAR Sensor Fusion , IEEE Intelligent Vehicles Symposium (IEEE-IV 2025), to be held in Romania, June 2025, Core B, Accepted March 2025, Flagship Conference.

Shikhar Singh Lodhi, Neetesh Kumar, and P. K. Pandey, Option Policies for Obstacle Avoidance in Safety Critical Scenarios using Hierarchical Deep Reinforcement Learning , IEEE Intelligent Vehicles Symposium (IEEE-IV 2025), to be held in Romania, June 2025, Core B, Accepted March 2025, Flagship Conference.

I. Mani Varma and Neetesh Kumar, Periodic Identity Verification of RSU using Fiat-Shamir Non-Interactive ZKP in SDVN , IEEE International Conference on Communications (ICC 2025), Accepted, Core B, Qualis A1, Flagship.

Shikhar Vashistha and Neetesh Kumar, Dynamic Graph Learning for Systems using Selective State Focused Attention Networks , CCGrid 2025, Core A, Accepted 17 February 2025 (Acceptance Rate < 25%).

Neetesh Kumar, Shubhangi Batra, Shikhar Vashistha, Tippana Rajesh, Bolla Nikitha, P. K. Pandey, Atluri Guna Sai, eCharge: Deep Reinforcement Learning Framework for Multi-Objective Electric Vehicle Charging Route Planning , CCGRID 2025, Core Rank A, Accepted.

Mohammed Swaned, Sajid Javid, Shreyali Humaney, Anuj Sachan, Nisha Singh Chauhan and Neetesh Kumar, Enhancing Traffic Management Through Advanced Vehicle Detection for Congestion Prevention , 6th IEEE MASS Workshop, 21st IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2024), September 23-25, 2024, Seoul, South Korea, Core and ERA Rank B, Qualis Rank B1, Accepted.

Vibha Bharilya and Neetesh Kumar, TrajAngleNet: Transformer-based Trajectory Prediction through Multi-Task Learning with Angle Prediction , 31st International Conference on Neural Information Processing (ICONIP 2024), University of Auckland, New Zealand, Core Rank B, ERA Rank A, Accepted.

Anuj Sachan, Nisha Singh Chauhan and Neetesh Kumar, Real-time Data-driven Smart Traffic Light Co-operative Framework for E-SIOV Mobility Management , IEEE 100th Vehicular Technology Conference (VTC 2024-Fall), Washington DC, USA, October 2024, Core Rank B, Flagship, Accepted.

Anuj Sachan, Yash Daultani and Neetesh Kumar, S-Edge: Smart Edge Computing Framework for Real-time Heterogeneous Vehicular Network , 15th International Conference on Knowledge and Smart Technology (KST 2023), Accepted.

Anuj Sachan, Nisha Singh Chauhan and Neetesh Kumar, Congestion Minimization using Fog-deployed DRL-Agent Feedback Enabled Traffic Light Cooperative Framework , CCGRID 2023, Core Rank A, Accepted.

I. Mani Varma and Neetesh Kumar, ZKP-based Lightweight Authentication Protocol during Handovers in Vehicular Networks , IEEE GLOBECOM 2023, Core B, Qualis A1, Flagship Conference, Accepted.

Ravjot Singh, Naman Jain, Prakhar Gupta, Neetesh Kumar, Pravendra Singh A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines , IEEE GLOBECOM 2023, Core B, Qualis A1, Flagship Conference, Accepted.

Vibha Bharilya and Neetesh Kumar, A Survey of the State-of-the-art Reinforcement Learning-Based Techniques for Autonomous Vehicle Trajectory Prediction , IEEE International Conference on Electrical, Electronics, Communication and Computers (IEEE ELEXCOM 2023), Accepted.

Dinesh Soni and Neetesh Kumar, GWO-Based Workflow Scheduling in Cloud-Fog Environments , IEEE International Conference on Electrical, Electronics, Communication and Computers (IEEE ELEXCOM 2023), Accepted.

Nisha Singh Chauhan and Neetesh Kumar, Traffic Flow Forecasting using Attention Enabled Bi-LSTM and GRU Hybrid Model , 29th International Conference on Neural Information Processing (ICONIP 2022), Core Rank B, ERA Rank A, Accepted.

Pooja Mishra, W. Wilfred Godfrey and Neetesh Kumar, Fault-tolerance Aware Green Computing Scheme in Software-Defined Vehicular Social Network , IEEE Conference on Information and Communication Technology (IEEE CICT 2022), Accepted.

Pooja Mishra, W. W. Wilfred Godfrey and Neetesh Kumar, A Meta-heuristic-based Green Routing Algorithm in Software Defined Wireless Sensor Network , ICICT 2021, Presented, 20-22 January 2021.

Pooja Mishra, W. W. Wilfred Godfrey and Neetesh Kumar, A Green Computing-based Algorithm in Software Defined Network with Enhanced Performance , ICCCIS 2021, Accepted, 14 December 2020.

Pooja Mishra, Neetesh Kumar and W. Wilfred Godfrey, A Hybrid Meta-heuristic Solution for Energy-Efficient Routing in Software-Defined Wireless Sensor Network , Published.

Anuj Sachan and Neetesh Kumar, Intelligent Traffic Control System for Emergency Vehicles , ICWSNUCA 2021, DOI: 10.1007/978-981-16-2919-8.

Vaibhav Garg, Anuj Sachan, Neetesh Kumar and Sarthak Mittal, Congestion Control utilizing Software Defined Control Architecture at the Traffic Light Intersection , IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS 2021), Core and ERA Rank B, Qualis Rank B1, Published.

Rajni Jindal, Neetesh Kumar and Hitesh Nirwan, MTFCT: A Task Offloading Approach for Fog Computing and Cloud Computing , IEEE Confluence 2020, Presented.

R. Jindal, Neetesh Kumar and S. Patidar, IoT Stream Data Compression using LDPC Coding , International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), Presented.

Aishwarya Karmarkar, Prasenjit Chanak and Neetesh Kumar, An Optimized SVM-Based Fault Diagnosis Scheme for Wireless Sensor Networks , IEEE SCEECS 2020, Accepted.

Sanjay Patidar, Rajni Jindal and Neetesh Kumar, Streamed Covid-19 Data Analysis using LSTM: A Deep Learning Technique , 10th International Conference on Soft Computing for Problem Solving (SocProS 2020), IIT Indore, Best Paper Award.

Anuj Sachan and Neetesh Kumar, Light Weighted Mutual Authentication and Dynamic Key Encryption for IoT Device Applications , International Conference on Issues and Challenges in Intelligent Computing, 2019, Published.

Neetesh Kumar and S. Rahman, Deep Reinforcement Learning with Vehicle Heterogeneity Based Traffic Light Control for Intelligent Transportation System , IEEE ICII 2019, Orlando, USA, Presented.

Pratyush Ranjan, Shubhanker Srivastava, Vidit Gupta, Shashikala Tapaswi and Neetesh Kumar, Decentralized and Distributed System for Organ/Tissue Donation , IEEE CICT 2019, IIIT Allahabad, Presented.

Swarup Padhy, Juhi Tiwari, Shivam Rathore and Neetesh Kumar, Emergency Signal Classification for the Hearing Impaired using Multi-channel Audio , IEEE CICT 2019, IIIT Allahabad, Best Paper Award.

Rashika Bangroo, Neetesh Kumar and Reya Sharma, A Model for Multi-Processor Task Scheduling Problem using Quantum Genetic Algorithm , Hybrid Intelligent Systems, 2018, Published.

Y. Lu, L. Yang, V. C. Bhavsar and Neetesh Kumar, Tree-Structured Data Processing on GPUs , 7th IEEE International Conference on Cloud Computing, Data Science and Engineering (Confluence), 2017, Published.

Reya Sharma, Rashika Bangroo, Manoj Kumar and Neetesh Kumar, A Model for Resource Constraint Project Scheduling Problem using Quantum Inspired PSO , NGCT 2017, Published.

Neetesh Kumar and Chandresh Kumar Maurya, DR: A Novel and Practical Non-Comparison Based Sorting Algorithm , Research Colloquia, XRCI Open 2016, Poster Presentation, Special Mention Award.