Varun Kumar - RankMe

97 papers A* 5A 4B 2C 4Journal 47Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A digital twin for diesel engines: Operator-infused physics-informed neural networks with transfer learning for engine health monitoring. Eng. Appl. Artif. Intell. Kamaljyoti Nath, Varun Kumar, Daniel J. Smith, George Em Karniadakis
2026	J	`jnl`	CodeScout: Contextual Problem Statement Enhancement for Software Agents. CoRR Manan Suri, Xiangci Li, Mehdi Shojaie, Songyang Han, Chao-Chun Hsu, Shweta Garg, Aniket Anand Deshmukh, Varun Kumar
2026	J	`jnl`	Fusion-DeepONet: A data-efficient neural operator for geometry-dependent hypersonic and supersonic flows. J. Comput. Phys. Ahmad Peyvan, Varun Kumar, George Em Karniadakis
2026	J	`jnl`	TRAJEVAL: Decomposing Code Agent Trajectories for Fine-Grained Diagnosis. CoRR Myeongsoo Kim, Dingmin Wang, Siwei Cui, Farima Farmahinifarahani, Shweta Garg, Baishakhi Ray, Terry Yue Zhuo, Rajdeep Mukherjee, Varun Kumar
2025	J	`jnl`	Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks. CoRR Shoumik Saha, Jifan Chen, Sam Mayers, Sanjay Krishna Gouda, Zijian Wang, Varun Kumar
2025	J	`jnl`	CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance. CoRR Myeongsoo Kim, Shweta Garg, Baishakhi Ray, Varun Kumar, Anoop Deoras
2025	J	`jnl`	Cyber-Zero: Training Cybersecurity Agents without Runtime. CoRR Terry Yue Zhuo, Dingmin Wang, Hantian Ding, Varun Kumar, Zijian Wang
2025	J	`jnl`	Empowering Multi-Turn Tool-Integrated Reasoning with Group Turn Policy Optimization. CoRR Yifeng Ding, Hung Le, Songyang Han, Kangrui Ruan, Zhenghui Jin, Varun Kumar, Zijian Wang, Anoop Deoras
2025	J	`jnl`	Energy efficient resource allocation and trajectory optimization method for secure digital twin-enabled UAV-assisted MEC in 6G networks. Comput. Networks Varun Kumar, Ishan Budhiraja, Akansha Singh, Sahil Garg, Georges Kaddoum, Mohammad Mehedi Hassan
2025	J	`jnl`	Fusion DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic Flows on Arbitrary Grids. CoRR Ahmad Peyvan, Varun Kumar
2025	J	`jnl`	Learning Nonlinear Responses in PET Bottle Buckling with a Hybrid DeepONet-Transolver Framework. CoRR Varun Kumar, Jing Bi, Cyril Ngo Ngoc, Victor Oancea, George Em Karniadakis
2025	—	`conf`	On Mitigating Code LLM Hallucinations with API Documentation. SEIP@ICSE Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
2025	A*	`conf`	Planning-Aware Code Infilling via Horizon-Length Prediction. EMNLP Yifeng Ding, Hantian Ding, Shiqi Wang, Qing Sun, Varun Kumar, Zijian Wang
2025	J	`jnl`	SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion. CoRR George Ma, Anurag Koul, Qi Chen, Yawen Wu, Sachit Kuhar, Yu Yu, Aritra Sengupta, Varun Kumar, Murali Krishna Ramanathan
2025	J	`jnl`	Synergistic learning with multi-task DeepONet for efficient PDE problem solving. Neural Networks Varun Kumar, Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis
2025	J	`jnl`	Toward Autonomous Engineering Design: A Knowledge-Guided Multi-Agent Framework. CoRR Varun Kumar, George Em Karniadakis
2025	—	`conf`	Towards an Algorithm-based Approach for Soft Error Tolerance using Interval Arithmetic. HPEC Larry Tang, Varun Kumar, Matthew Ngaw, Siddharth Singh, Devdutt Nadkarni, Lohith Tummala, Ken Mai, Franz Franchetti
2025	J	`jnl`	Training Language Model Agents to Find Vulnerabilities with CTF-Dojo. CoRR Terry Yue Zhuo, Dingmin Wang, Hantian Ding, Varun Kumar, Zijian Wang
2024	J	`jnl`	A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring. CoRR Kamaljyoti Nath, Varun Kumar, Daniel J. Smith, George Em Karniadakis
2024	C	`conf`	Custom ANN: An Approach for Efficient Modulation Classification. TENCON Varun Kumar, Deepika Gupta
2024	A*	`conf`	Fewer Truncations Improve Language Modeling. ICML Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto
2024	J	`jnl`	Fewer Truncations Improve Language Modeling. CoRR Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto
2024	J	`jnl`	Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning. CoRR Yifeng Ding, Hantian Ding, Shiqi Wang, Qing Sun, Varun Kumar, Zijian Wang
2024	A*	`conf`	LeDex: Training LLMs to Better Self-Debug and Explain Code. NeurIPS Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2024	J	`jnl`	Learning Code Preference via Synthetic Evolution. CoRR Jiawei Liu, Thanh Nguyen, Mingyue Shang, Hantian Ding, Xiaopeng Li, Yu Yu, Varun Kumar, Zijian Wang
2024	J	`jnl`	On Mitigating Code LLM Hallucinations with API Documentation. CoRR Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
2024	J	`jnl`	Real-time prediction of gas flow dynamics in diesel engines using a deep neural operator framework. Appl. Intell. Varun Kumar, Somdatta Goswami, Daniel Smith, George Em Karniadakis
2024	A*	`conf`	Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. EMNLP Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
2024	J	`jnl`	Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
2024	J	`jnl`	Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving. CoRR Varun Kumar, Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis
2024	J	`jnl`	Training LLMs to Better Self-Debug and Explain Code. CoRR Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2023	—	`conf`	A Static Evaluation of Code Completion by Large Language Models. ACL (industry) Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2023	J	`jnl`	A Static Evaluation of Code Completion by Large Language Models. CoRR Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2023	—	`conf`	An Integrated Approach to Point Labeling Problem. ICCCNT Simranjeet Singh, Varun Kumar, Subhasis Bhattacharjee
2023	J	`jnl`	CrunchGPT: A chatGPT assisted framework for scientific machine learning. CoRR Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis
2023	—	`conf`	Energy-Efficient THz NOMA-Enabled Small Cells Underlaying Macrocell Using Reinforcement Learning. ANTS Varun Kumar, Ishan Budhiraja, Akansha Singh, Rajat Chaudhary, Srinivas Aluvala
2023	J	`jnl`	Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
2023	A*	`conf`	Multi-lingual Evaluation of Code Generation Models. ICLR Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati
2023	—	`conf`	ReCode: Robustness Evaluation of Code Generation Models. ACL (1) Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
2023	—	`conf`	Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023	—	`conf`	Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
2023	B	`conf`	Validating a virtual human and automated feedback system for training doctor-patient communication skills. ACII Kurtis Haut, Caleb Wohn, Benjamin Kane, Thomas Carroll, Catherine Giugno, Varun Kumar, Ronald M. Epstein, Lenhart K. Schubert, Mohammed Ehsan Hoque
2023	J	`jnl`	Validating a virtual human and automated feedback system for training doctor-patient communication skills. CoRR Kurtis Haut, Caleb Wohn, Benjamin Kane, Thomas Carroll, Catherine Giugno, Varun Kumar, Ronald M. Epstein, Lenhart K. Schubert, Ehsan Hoque
2023	J	`jnl`	Wind farm Integrated fuzzy Logic-based Facts controlled Power System stability Analysis. Mechatron. Syst. Control. Amit Kumar Yadav, Varun Kumar, Ajay Shekhar Pandey, Saurabh Mani Tripathi, Abhishek Kumar
2022	—	`conf`	An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022	J	`jnl`	An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. CoRR Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022	J	`jnl`	Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022	—	`conf`	Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022	J	`jnl`	Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022	J	`jnl`	Multi-lingual Evaluation of Code Generation Models. CoRR Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2022	—	`conf`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022	J	`jnl`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022	J	`jnl`	ReCode: Robustness Evaluation of Code Generation Models. CoRR Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
2022	J	`jnl`	SEER: Sustainable E-commerce with Environmental-impact Rating. CoRR Md. Saiful Islam, Adiba Mahbub, Caleb Wohn, Karen Berger, Serena Uong, Varun Kumar, Katrina Smith Korfmacher, Ehsan Hoque
2021	—	`conf`	BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. FAccT Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021	J	`jnl`	BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. CoRR Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021	—	`conf`	CMOS image sensor with adaptive readout scheme for low power applications. MWSCAS Varun Kumar, Bibhudatta Satapathy, Wilfred Kisku, Amandeep Kaur, Deepak Mishra
2021	—	`conf`	Heuristics for the Generalized Graph Coloring Problem. ICCCNT Anjeneya Swami Kare, Varun Kumar
2021	—	`conf`	Industry Scale Semi-Supervised Learning for Natural Language Understanding. NAACL-HLT (Industry Papers) Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu
2021	J	`jnl`	Industry Scale Semi-Supervised Learning for Natural Language Understanding. CoRR Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu
2021	J	`jnl`	ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification. CoRR Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
2021	—	`conf`	Protoda: Efficient Transfer Learning for Few-Shot Intent Classification. SLT Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
2020	J	`jnl`	Data Augmentation using Pre-trained Transformer Models. CoRR Varun Kumar, Ashutosh Choudhary, Eunah Cho
2020	A	`conf`	Digging into user control: perceptions of adherence and instability in transparent models. IUI Alison Smith-Renner, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
2020	J	`jnl`	Heart Disease Prediction Using CNN Algorithm. SN Comput. Sci. VirenViraj Shankar, Varun Kumar, Umesh Devagade, Vinay Karanth, K. Rohitaksha
2020	J	`jnl`	Mean-based reciprocity calibration in TDD massive MIMO system. IET Commun. Varun Kumar, Sarat Kumar Patra, Poonam Singh
2020	—	`conf`	Performance Analysis of RZF precoding and Mean based Calibration for Channel Reciprocity. ICCCS Prabhat Kumar, Poonam Singh, Varun Kumar
2019	—	`conf`	A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. DeepLo@EMNLP-IJCNLP Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell
2019	J	`jnl`	A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. CoRR Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell
2019	C	`conf`	Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. ASRU Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
2019	J	`jnl`	Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. CoRR Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
2019	—	`conf`	Rapid Identification of Shared Memory in Multithreaded Embedded Systems with Static Scheduling. ICPP Workshops Jasmin Jahic, Varun Kumar, Matthias Jung, Gerhard Wirrer, Norbert Wehn, Thomas Kuhn
2019	A	`conf`	Testing the Implementation of Concurrent AUTOSAR Drivers Against Architecture Decisions. ICSA Jasmin Jahic, Varun Kumar, Pablo Oliveira Antonino, Gerhard Wirrer
2019	—	`conf`	Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. ACL (1) Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
2019	J	`jnl`	Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. CoRR Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
2018	A	`conf`	Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System. IUI Alison Smith, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
2017	—	`conf`	Achievable rate and power efficiency in uplink massive MIMO system under antenna correlation. ANTS Varun Kumar, Sudhansu Arya, Sarat Kumar Patra
2017	J	`jnl`	Narrow-core hollow optical waveguide with nanostructured SOI as ultra-low loss platform for efficient photodetection. Photonic Netw. Commun. Varun Kumar, Harpinder Kaur, Mukesh Kumar
2016	—	`conf`	Frequency modulated electrostatically coupled resonators for sensing applications. IEEE SENSORS Alireza Ramezany, Vahid Qaradaghi, Varun Kumar, Siavash Pourkamali
2016	—	`conf`	Frequency output MEMS resonator on membrane pressure sensors. IEEE SENSORS Vahid Qaradaghi, Mohammad Mahdavi, Varun Kumar, Siavash Pourkamali
2016	—	`conf`	Hybrid SOMA: A Tool for Optimizing TMD Parameters. SocProS (1) Shilpa Pal, Dipti Singh, Varun Kumar
2016	—	`conf`	Mining Shapes of Expertise in Online Social Q&A Communities. CSCW Companion Varun Kumar, Niranjan Pedanekar
2016	—	`conf`	Nano-precision micromachined frequency output profilometer. IEEE SENSORS Amin Abbasalipour, Mohammad Mahdavi, Varun Kumar, Siavash Pourkamali, Soheil Daryadel, Majid Minary
2016	—	`conf`	Testing of Micro-optics using Digital Holographic Interferometric Microscopy. PHOTOPTICS Varun Kumar, Chandra Shakher
2016	—	`conf`	The GW/UMD CLPsych 2016 Shared Task System. CLPsych@HLT-NAACL Ayah Zirikly, Varun Kumar, Philip Resnik
2015	C	`conf`	Automatically augmenting learning material with practical questions to increase its relevance. FIE Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar
2015	B	`conf`	Stickipedia: A Search Engine and Repository for Explanatory Analogies. ICALT Varun Kumar, Savita Bhat, Niranjan Pedanekar
2014	—	`conf`	Assessing the Need of Augmenting Video Lectures with Supporting Information. HCI (14) Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar
2014	A	`conf`	Automatically Retrieving Explanatory Analogies from Webpages. ECIR Varun Kumar, Savita Bhat, Niranjan Pedanekar
2014	J	`jnl`	Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach. Appl. Soft Comput. Saurabh Vats, Gaurav Vats, Rahul Vaish, Varun Kumar
2014	—	`conf`	Static hand gesture recognition using stacked Denoising Sparse Autoencoders. IC3 Varun Kumar, Gora Chand Nandi, Rahul Kala
2014	C	`conf`	Which hat are you wearing today? Enabling perspectives while learning computer science. FIE Abhay Doke, Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar
2013	—	`conf`	PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks. APCHI Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish S. Karande, Vijayanand Banahatti, Niranjan Pedanekar
2010	—	`conf`	Kaal - A Real Time Stream Mining Algorithm. HICSS Rajanish Dass, Varun Kumar
2009	—	`conf`	Click to Zoom-Inside Graphical Authentication. ICDIP Varun Kumar, M. K. Gupta, Ashish Chaturvedi, Anuj Bhardwaj, Manu Pratap Singh
2006	—	`conf`	Multiresolution Estimates of Classification Complexity and Multiple Subspace Classifiers for Understanding and Solving Complex Recognition Tasks. SPPRA Peng Wang, Varun Kumar, Maneesha Singh
2005	—	`conf`	Safety-Automation of Cars Using Embedded Microcontrollers. CIMCA/IAWTIC Abhinav Ray, Varun Kumar