Mayank Agarwal

110 papers A* 12A 5B 3C 2Misc 4Journal 61Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	How Good Are LLMs at Processing Tool Outputs? EACL (Volume 1: Long Papers) Kiran Kate, Yara Rizk, Poulami Ghosh, Ashu Gulati, Tathagata Chakraborti, Zidane Wright, Mayank Agarwal
2025	J	`jnl`	A multi-level DDoS defense mechanism in container based cloud environment. Clust. Comput. Anmol Kumar, Mayank Agarwal
2025	J	`jnl`	AEJaya+DE: a hybrid feature selection method for machine learning-based network intrusion detection on cybersecurity datasets. Int. J. Mach. Learn. Cybern. Fawzia Omer Albasheer, Ezhil Kalaimannan, Mayank Agarwal
2025	J	`jnl`	An Optimized IDS Framework for Big Data Environments: Integrating Gravitational Search and SMOTE-IPF Data Balancing for High-Accuracy IDS. SN Comput. Sci. Manisha Kumari, Neha Pramanick, Mayank Agarwal, Ebenezer Esenogho
2025	J	`jnl`	Anomaly-based intrusion detection system based on SMOTE-IPF, Whale Optimization Algorithm, and ensemble learning. Intell. Syst. Appl. Tibebu Bekele Shana, Neetu Kumari, Mayank Agarwal, Samrat Mondal, Upaka Rathnayake
2025	J	`jnl`	Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context. CoRR Utsav Kumar Nareti, Divyansh Gupta, Chandranath Adak, Soumi Chattopadhyay, Emma Riese, Tanujit Chakraborty, Mayank Agarwal, Satendra Kumar
2025	J	`jnl`	Design a metamaterial based applicator for hyperthermia cancer treatment. Biomed. Signal Process. Control. Nitika Sharma, Hari Shankar Singh, Rajesh Khanna, Amanpreet Kaur, Mayank Agarwal
2025	J	`jnl`	Design and development of SIW based H-plane horn applicator for sustainable agriculture applications. Comput. Electr. Eng. Kiran Kumari, Mayank Agarwal, Hari Shankar Singh, Rajesh Khanna
2025	J	`jnl`	How Good Are LLMs at Processing Tool Outputs? CoRR Kiran Kate, Yara Rizk, Poulami Ghosh, Ashu Gulati, Tathagata Chakraborti, Zidane Wright, Mayank Agarwal
2025	J	`jnl`	LongFuncEval: Measuring the effectiveness of long context models for function calling. CoRR Kiran Kate, Tejaswini Pedapati, Kinjal Basu, Yara Rizk, Vijil Chenthamarakshan, Subhajit Chaudhury, Mayank Agarwal, Ibrahim Abdelaziz
2025	A*	`conf`	NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. EMNLP Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi
2025	J	`jnl`	OptiXID: An optimized and eXplainable AI framework for intrusion detection in IoT networks. Clust. Comput. Fawzia Omer Albasheer, Mayank Agarwal
2025	J	`jnl`	Reducing Internal Collateral Damage From DDoS Attacks Through Micro-Service Cloud Architecture. IEEE Trans. Inf. Forensics Secur. Anmol Kumar, Mayank Agarwal
2025	Misc	`conf`	SANVector: SBERT-APTNet Vector Framework for Cyber Threat Attack Attribution Using Diversified CTI Logs. ICISS Sougata Dolai, Annu Kumari, Mayank Agarwal
2025	J	`jnl`	Standalone and Hybrid machine learning approaches to predict sediment load in an alluvial channel. Eng. Appl. Artif. Intell. Sanjit Kumar, Vishal Deshpande, Mayank Agarwal
2025	J	`jnl`	TROPE: Triplet-Guided Feature Refinement for Person Re-Identification. IEEE Trans. Emerg. Top. Comput. Intell. Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind
2025	J	`jnl`	ToolRM: Outcome Reward Models for Tool-Calling Large Language Models. CoRR Mayank Agarwal, Ibrahim Abdelaziz, Kinjal Basu, Merve Unuvar, Luis A. Lastras, Yara Rizk, Pavan Kapanipathi
2024	J	`jnl`	A Novel IDS Based on Jaya Optimizer and Smote-ENN for Cyberattacks Detection. IEEE Access Fawzia Omer Albasheer, Raghavendra Ramesh Haibatti, Mayank Agarwal, Seung Yeob Nam
2024	—	`conf`	Aligners: Decoupling LLMs and Alignment. EMNLP (Findings) Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	—	`conf`	Aligners: Decoupling LLMs and Alignment. Tiny Papers @ ICLR Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	J	`jnl`	Aligners: Decoupling LLMs and Alignment. CoRR Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	A*	`conf`	An Investigation of Representation and Allocation Harms in Contrastive Learning. ICLR Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
2024	J	`jnl`	Comparing HAProxy Scheduling Algorithms During the DDoS Attacks. IEEE Netw. Lett. Anmol Kumar, Gaurav Somani, Mayank Agarwal
2024	J	`jnl`	Enhanced IDS Using BBA and SMOTE-ENN for Imbalanced Data for Cybersecurity. SN Comput. Sci. Neha Pramanick, Shourya Srivastava, Jimson Mathew, Mayank Agarwal
2024	J	`jnl`	Fusion of Wavelet Decomposition and N-BEATS for Improved Stock Market Forecasting. SN Comput. Sci. Neha Pramanick, Vatsal Singhal, Neeraj, Jimson Mathew, Mayank Agarwal
2024	J	`jnl`	Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Syed Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
2024	—	`conf`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
2024	J	`jnl`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
2024	J	`jnl`	PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review. Int. J. Digit. Libr. Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
2024	J	`jnl`	Performance evaluation of machine learning algorithms for the prediction of particle Froude number (Frn) using hyper-parameter optimizations techniques. Expert Syst. Appl. Deepti Shakya, Vishal Deshpande, Mir Jafar Sadegh Safari, Mayank Agarwal
2024	J	`jnl`	Please be polite to your peers: a multi-task model for assessing the tone and objectivity of critiques of peer review comments. Scientometrics Prabhat Kumar Bharti, Mayank Agarwal, Asif Ekbal
2024	J	`jnl`	PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews. Lang. Resour. Evaluation Prabhat Kumar Bharti, Meith Navlakha, Mayank Agarwal, Asif Ekbal
2024	J	`jnl`	Quick service during DDoS attacks in the container-based cloud environment. J. Netw. Comput. Appl. Anmol Kumar, Mayank Agarwal
2024	J	`jnl`	Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models. CoRR Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen
2023	J	`jnl`	An Investigation of Representation and Allocation Harms in Contrastive Learning. CoRR Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
2023	J	`jnl`	DLIRIR : Deep learning based improved Reverse Image Retrieval. Eng. Appl. Artif. Intell. Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind
2023	Misc	`conf`	Dialogue System with Missing Observation. ICASSP Djallel Bouneffouf, Mayank Agarwal, Irina Rish
2023	J	`jnl`	Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations. CoRR Zilu Tang, Mayank Agarwal, Alex Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
2023	—	`conf`	Explain-then-translate: an analysis on improving program translation with self-generated explanations. EMNLP (Findings) Zilu Tang, Mayank Agarwal, Alexander Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
2023	A*	`conf`	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CHI Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
2023	J	`jnl`	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CoRR Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
2023	J	`jnl`	Geometry-biased Transformers for Novel View Synthesis. CoRR Naveen Venkat, Mayank Agarwal, Maneesh Kumar Singh, Shubham Tulsiani
2023	J	`jnl`	Indoor dataset for Person Re-Identification: Exploring the impact of backpacks. J. Vis. Commun. Image Represent. Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind
2023	J	`jnl`	Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques. Expert Syst. Appl. Sanjit Kumar, Bimlesh Kumar, Vishal Deshpande, Mayank Agarwal
2023	J	`jnl`	Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models. Artif. Intell. Rev. Deepti Shakya, Vishal Deshpande, Bimlesh Kumar, Mayank Agarwal
2023	C	`conf`	Preserving Service Availability Under DDoS Attack in Micro-Service Based Cloud Infrastructure. SIN Anmol Kumar, Mayank Agarwal
2023	—	`conf`	Recursive Feature Selection and Intrusion Classification in NSL-KDD Dataset Using Multiple Machine Learning Methods. CoCoLe Subrat Mohanty, Mayank Agarwal
2022	—	`conf`	A Method for Automatically Estimating the Informativeness of Peer Reviews. ICON Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
2022	A	`conf`	Better Together? An Evaluation of AI-Supported Code Translation. IUI Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards
2022	J	`jnl`	Better Together? An Evaluation of AI-Supported Code Translation. CoRR Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards
2022	B	`conf`	BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments. TPDL Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
2022	—	`conf`	Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. IUI Workshops Michael J. Muller, Steven I. Ross, Stephanie Houde, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz
2022	A	`conf`	Investigating Explainability of Generative AI for Code through Scenario-based Design. IUI Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
2022	J	`jnl`	Investigating Explainability of Generative AI for Code through Scenario-based Design. CoRR Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
2022	—	`conf`	Opportunies for Generative AI in UX Modernization 81-91. IUI Workshops Stephanie Houde, Steven I. Ross, Michael J. Muller, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz
2022	—	`ch.`	Personalization in Federated Learning. Federated Learning Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
2022	J	`jnl`	Standalone and ensemble-based machine learning techniques for particle Froude number prediction in a sewer system. Neural Comput. Appl. Deepti Shakya, Vishal Deshpande, Mayank Agarwal, Bimlesh Kumar
2021	J	`jnl`	COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India. CoRR Mayank Agarwal, Tathagata Chakraborti, Sachin Grover
2021	—	`conf`	DES Based IDS for detection Minimal De-authentication DoS Attack in 802.11 Wi-Fi Networks. ANTS Mayank Agarwal
2021	—	`conf`	How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. IUI Workshops Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang
2021	J	`jnl`	NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands. CoRR Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
2021	A*	`conf`	On sensitivity of meta-learning to support data. NeurIPS Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
2021	J	`jnl`	On sensitivity of meta-learning to support data. CoRR Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
2021	A	`conf`	Perfection Not Required? Human-AI Partnerships in Code Translation. IUI Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula
2021	J	`jnl`	Perfection Not Required? Human-AI Partnerships in Code Translation. CoRR Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula
2021	Misc	`conf`	Toward Skills Dialog Orchestration with Online Learning. ICASSP Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish
2021	J	`jnl`	Using Document Similarity Methods to create Parallel Datasets for Code Translation. CoRR Mayank Agarwal, Kartik Talamadupula, Fernando Martinez, Stephanie Houde, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz
2020	J	`jnl`	CLAI: A Platform for AI Skills on the Command Line. CoRR Mayank Agarwal, Jorge J. Barroso, Tathagata Chakraborti, Eli M. Dow, Kshitij P. Fadnis, Borja Godoy, Kartik Talamadupula
2020	J	`jnl`	IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
2020	—	`conf`	NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands. NeurIPS (Competition and Demos) Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
2020	J	`jnl`	Online Semi-Supervised Learning with Bandit Feedback. CoRR Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf
2020	J	`jnl`	Quality Estimation & Interpretability for Code Translation. CoRR Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz
2020	A*	`conf`	TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets. AAAI Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni
2019	J	`jnl`	A Bandit Approach to Posterior Dialog Orchestration Under a Budget. CoRR Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni
2019	A*	`conf`	Bayesian Nonparametric Federated Learning of Neural Networks. ICML Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni
2019	J	`jnl`	Bayesian Nonparametric Federated Learning of Neural Networks. CoRR Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni
2019	A*	`conf`	CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. AAAI Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
2019	J	`jnl`	Discrete event system framework for fault diagnosis with measurement inconsistency: case study of rogue DHCP attack. IEEE CAA J. Autom. Sinica Mayank Agarwal, Santosh Biswas, Sukumar Nandi
2019	J	`jnl`	Machine Translation: A Literature Review. CoRR Ankush Garg, Mayank Agarwal
2019	B	`conf`	Rogue Twin Attack Detection: A Discrete Event System Paradigm Approach. SMC Mayank Agarwal
2019	A*	`conf`	Statistical Model Aggregation via Parameter Matching. NeurIPS Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang
2019	J	`jnl`	Statistical Model Aggregation via Parameter Matching. CoRR Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang
2018	A	`conf`	3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. BMVC Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, Venkatesh Babu Radhakrishnan
2018	J	`jnl`	3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. CoRR Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, R. Venkatesh Babu
2018	J	`jnl`	An Efficient Scheme to Detect Evil Twin Rogue Access Point Attack in 802.11 Wi-Fi Networks. Int. J. Wirel. Inf. Networks Mayank Agarwal, Santosh Biswas, Sukumar Nandi
2018	Misc	`conf`	Anti-forensic = Suspicious: Detection of Stealthy Malware that Hides Its Network Traffic. SEC Mayank Agarwal, Rami Puzis, Jawad Haj-Yahya, Polina Zilberman, Yuval Elovici
2018	J	`jnl`	CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision. CoRR Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
2017	J	`jnl`	Intrusion detection system for PS-Poll DoS attack in 802.11 networks using real time discrete event system. IEEE CAA J. Autom. Sinica Mayank Agarwal, Sanketh Purwar, Santosh Biswas, Sukumar Nandi
2016	J	`jnl`	Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization. Int. J. Mach. Learn. Cybern. Mayank Agarwal, Dileep Pasumarthi, Santosh Biswas, Sukumar Nandi
2015	J	`jnl`	Advanced Stealth Man-in-The-Middle Attack in WPA2 Encrypted Wi-Fi Networks. IEEE Commun. Lett. Mayank Agarwal, Santosh Biswas, Sukumar Nandi
2015	B	`conf`	Detection of De-Authentication DoS Attacks in Wi-Fi Networks: A Machine Learning Approach. SMC Mayank Agarwal, Santosh Biswas, Sukumar Nandi
2015	—	`conf`	I MED Mayank Agarwal, Santosh Biswas, Sukumar Nandi
2014	J	`jnl`	Compact Planar Monopole Antenna with Dual Band Notched Characteristics Using T-Shaped Stub and Rectangular Mushroom Type Electromagnetic Band Gap Structure for UWB and Bluetooth Applications. Wirel. Pers. Commun. Rajesh Singh, Gaurav Kumar Pandey, Mayank Agarwal, Hari Shankar Singh, Pradutt Kumar Bharti, Manoj Kumar Meshram
2012	—	`conf`	Cohort Selection through Content-Based Image Retrieval: vfM A Case Study. HISB Mayank Agarwal, Javed Mostafa
2011	C	`conf`	Content-based image retrieval for Alzheimer's disease detection. CBMI Mayank Agarwal, Javed Mostafa
2011	J	`jnl`	Convexity and convex approximations of discrete-time stochastic control problems with constraints. Autom. Eugenio Cinquemani, Mayank Agarwal, Debasish Chatterjee, John Lygeros
2011	—	`conf`	Mitigating denial of service attack using CAPTCHA mechanism. ICWET Mahendra Mehra, Mayank Agarwal, R. Pawar, Deven Shah
2011	—	`conf`	Secure authentication using dynamic virtual keyboard layout. ICWET Mayank Agarwal, Mahendra Mehra, R. Pawar, Deven Shah
2010	—	`conf`	Face Recognition Using Principle Component Analysis, Eigenface and Neural Network. ICSAP Mayank Agarwal, Himanshu Agrawal, Nikunj Jain, Manish Kumar
2009	—	`—`	Identifying, Quantifying, Extracting and Enhancing Implicit Parallelism Mayank Agarwal
2009	—	`conf`	Image Retrieval for Alzheimer's Disease Detection. MCBR-CDS Mayank Agarwal, Javed Mostafa
2009	—	`conf`	On convexity of stochastic optimization problems with constraints. ECC Mayank Agarwal, Eugenio Cinquemani, Debasish Chatterjee, John Lygeros
2009	—	`conf`	Protecting Global SOA from DoS and Other Security Threats. ISA Deven Shah, Ashish Mangal, Mayank Agarwal, Mahendra Mehra, Tushar Dave, Dhiren R. Patel
2009	—	`conf`	SPARTAN: A software tool for Parallelization Bottleneck Analysis. IWMSE@ICSE Mayank Agarwal, Matthew I. Frank
2008	J	`jnl`	BlogWall: Social and Cultural Interaction for Children. Adv. Hum. Comput. Interact. Adrian David Cheok, Owen Noel Newton Fernando, Imiyage Janaka Prasad Wijesena, Abd-ur-Rehman Mustafa, Ramkumar Shankar, Anne-Katrin Barthoff, Naoko Tosa, Yongsoon Choi, Mayank Agarwal
2008	A*	`conf`	Branch-mispredict level parallelism (BLP) for control independence. HPCA Kshitiz Malik, Mayank Agarwal, Sam S. Stone, Kevin M. Woley, Matthew I. Frank
2008	A*	`conf`	Fetch-Criticality Reduction through Control Independence. ISCA Mayank Agarwal, Nitin Navale, Kshitiz Malik, Matthew I. Frank
2008	A*	`conf`	PaCo: Probability-based path confidence prediction. HPCA Kshitiz Malik, Mayank Agarwal, Vikram Dhar, Matthew I. Frank
2007	A*	`conf`	Exploiting Postdominance for Speculative Parallelization. HPCA Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam S. Stone, Matthew I. Frank
2005	A	`conf`	SMPS: an FPGA-based prototyping environment for multiprocessor embedded systems (abstract only). FPGA Ankit Mathur, Mayank Agarwal, Soumyadeb Mitra, Anup Gangwar, M. Balakrishnan, Subhashis Banerjee