| Gitanjali Gupta |
Designing co-operative Driving environmnets in CARLA and Implementation of Causal RL techniques for Antenna Beamforming in 5G Networks |
2024 |
| Prerit Paliwal |
Safe MARL with CBF in Gazebo Simulator |
2024 |
| Ganjikunta Vijay Kumar |
Transfer Learning for Safe RL |
2024 |
| Digvijay Singh Thakur |
Scenario generation for aggressive driving in traffic scenario |
2024 |
| Kartik Khanna |
AI based Attack Generation and Detection |
2024 |
| Vivek Loya |
RL Based Attack Detection and Mitigation |
2024 |
| Shivam Kumar Pandey |
Schedule based attack detection and Mitigation |
2024 |
| Smruti Ranjan Malla |
Implementation of AoI-aware CACC-based platooning on CPS test-bed |
2024 |
| Anurag Vaibav |
Computer Vision for Cyber Physical Systems |
2024 |
| Kunal Gupta |
Object Detection andTracking for Autonomous Vehicles |
2024 |
| Aditya Kumar Jha |
Perception Based Robust Control for Automotive with Secure Sensor Fusion |
2024 |
| Satyam Kumar |
Safe And Secure Control Design for UAVs |
2024 |
| Abhiraj Ranajay Singh |
Evaluation of automotive control loops under application level FDI attacks in V2V communications |
2024 |
| Laleet Sunil Borse |
Bus-off attack implementation of CAN-FD |
2024 |
| Tanishq Agarwal |
Learning based attack estimation and mitigation for CPS |
2024 |
| Tanay Ankush Pokharkar |
Attack Prediction and Mitigation Tool Development |
2024 |
| Aryan Gupta |
Development of Vulnerability Analysis and Visualization Framework for Connected Vehicles |
2024 |
| Prateek Kumar |
Collaborative computing in Connected and Autonomous Vehicles |
2024 |
| Aman Kumar |
Resource management in automotive vehicles |
2024 |
| Ayan Murmu |
Different CNN building and Validation, Optimization |
2024 |
| Hare Krishna Agarwal |
(Intel) Learning based Thermal-aware Core mapping in Heterogeneous Multicores |
2023 |
| Arsh Agarwal |
GPU on autonomous vehicle |
2023 |
| Devendra Sanklecha |
Implementation of CAN attack |
2023 |
| Gurram Manoj Reddy |
Implementation of PPO based RL-agent for thermal load aware dynamic task mapping |
2023 |
| Gunjan Turkar |
Safe Reinforcement learning using Barrier Function |
2022 |
| Pamu Samanvitha |
A differentially private approach to traffic monitoring |
2022 |
| Sajal Chhamunya |
Optimised OpenCL benchmark creation for CNN pipelines
on heterogeneous platforms |
2022 |
| Ishan Sharma |
Designing HPC Job Schedulers of the future: A Reinforcement Learning based approach |
2022 |
Archisman Pathak |
A Learning-based attack detection system for automated connected vehicles |
2022 |
| Rudrajyoti |
Learning-based thermal Load Aware Dynamic Task Scheduling |
2022 |
| Sandeep Reddy |
Automotive attack implementation |
2022 |
| P S Monik Reddy |
RL framework design |
2022 |
| SaiKumar Joru |
A Simulator for Intelligent Scheduling of Data Parallel Workloads on Heterogeneous Platforms |
2021 |
| Kshitij Agrawal |
Adaptive Deep Learning Inference Engines for Video Streaming Applications |
2021 |
| Prabhpreet Singh Sodhi |
Adaptive Deep Learning Inference Engines for Video Streaming Applications |
2021 |
| Uday Kiran Ghadiyaram |
Effect of false data injection attack on lateral dynamics of a vehicle |
2021 |
| Anirban Majumder |
Attack systhesis against state-of-the art anomaly detectors in CPS |
2021 |
| Ambati Srujitha Reddy |
Attack demonstration on vehicle dynamics using Carmaker and Labcar |
2021 |
| Vibhor Jain |
Design and analysis of Automotive Control Systems |
2020 |
| Arijit Kar |
Intelligent Orchestration of ADAS Pipelines on Next Generation Automotive Architectures |
2020 |
| Sayan Sinha |
Deep Reinforcement Learning based controller for HVAC systems |
2020 |
| T Karthik Priyatham |
Scheduling OpenCl Kernel Directed Acyclic Graphs Using Kernel Fusion And Various Fusion Policies |
2018 |
| Geetanjali Talluri |
Automated Fault injection and Robustness Analysis on Multi-Hop Network Control System Testbed |
2018 |
| Gugloth Niharika |
Automated Fault injection and Robustness Analysis on Multi-Hop Network Control System Testbed |
2018 |
| Mayank Roy |
Acceleration of Feature Extraction for an ASR Framework Using a Combined CPU-GPU System |
2017 |
| Supradeep Allu |
Accelerating an ASR using a Combined CPU-GPU System |
2017 |
| Akash Mondal |
Reliability aware resource constraint scheduling in embedded control systems |
2016 |
| Dunaboyina Anudeep |
A tool for Probabilistic Failure Analysis of Behavioral Specifications |
2016 |
| Lokesh Dokara |
Scheduling OpenCL tasks on Heterogeneous Systems |
2016 |
| Kuchibhotla Shashank |
Planning based approach for Coverage Verification of Micro-architectural Bug Fix |
2016 |
| Rahul Anishetty |
Machine Learning based Partition Class prediction for OpenCL Workload on GPGPU |
2015 |
| K. Srikrishna |
Semi-Automated Synthesis of OpenCL program partitions for GPGPU Systems |
2015 |
| Manoj Kumar Yaramsetty |
Counter Example Guided Reliability Refinement of Reliability Spefications |
2015 |
| Rhitottam De |
Machine Learning based Compiler Optimizations for GPGPU |
2015 |
| Sandeep Kumar Sahu |
Parallelization of Automatic Speech Recognition Algorithms |
2014 |