| 2026 | AAAI | Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge. | Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Tapan K. Gandhi, Jayadeva |
| 2026 | ACL | When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews. | Sandeep Kumar, Yash Kamdar, Abid Hossain, Bharti Kumari, Tanik Saikh, Asif Ekbal |
| 2026 | ACL | BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning. | Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora, Nitin Kumar, Prathosh AP, Sandeep Kumar |
| 2026 | ENASE | Client-Driven Greedy STOMP Connection Rebalancing Using Server-Reported Subscription Load for Adaptive Load Balancing. | Manish Agrawal, Sandeep Kumar, Subham Kumar, Ashok Shukla, Nandgopal Srinivasan |
| 2026 | ENASE | Towards Interpretable Ensemble Learning for Software Effort Estimation. | Karishma Doshi, Suyash Shukla, Sandeep Kumar |
| 2026 | ENASE | An Encoder-Flexible Semantic Hypergraph Framework for API Recommendation in Mashup Development. | Abhinav Jamwal, Dipender Singh, Manish Agrawal, Sandeep Kumar |
| 2026 | ENASE | An Extensive Empirical Investigation of Ensemble Learning for Software Defect Prediction. | Megha Jayakumar, Suyash Shukla, Sandeep Kumar |
| 2026 | ENASE | Reinforcement Learning-Based Software Metric Selection for Defect Prediction. | Dipender Singh, Abhinav Jamwal, Manish Agrawal, Sandeep Kumar |
| 2026 | EuroSys | TierScape: Harnessing Multiple Compressed Tiers to Tame Server Memory TCO. | Sandeep Kumar, Aravinda Prasad, Sreenivas Subramoney |
| 2026 | ICPR | CONNECT-PD: Parkinson's Disease Detection Using Temporal Connectivity Graphs from Gait Data. | Ekta Srivastava, Siddhant Ujjain, Tapan Kumar Gandhi, Sandeep Kumar |
| 2026 | SANER | AMF-GR: Adaptive Matrix Factorization and Graph Fusion for Android Library Recommendation. | Abhinav Jamwal, Sandeep Kumar |
| 2025 | AAAI | HyperDefender: A Robust Framework for Hyperbolic GNNs. | Nikita Malik, Rahul Gupta, Sandeep Kumar |
| 2025 | ACL | CourtEval: A Courtroom-Based Multi-Agent Evaluation Framework. | Sandeep Kumar, Abhijit A. Nargund, Vivek Sridhar |
| 2025 | DSAA | REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation. | Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Jayadeva |
| 2025 | EASE | Bridging AI and Human Knowledge: Towards a Deeper Understanding of Stack Overflow and ChatGPT. | Aman Swaraj, Sandeep Kumar |
| 2025 | EMNLP | Can Large Language Models Unlock Novel Scientific Research Ideas? | Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal |
| 2025 | EMNLP | Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus. | Pooja Singh, Shashwat Bhardwaj, Vaibhav Sharma, Sandeep Kumar |
| 2025 | ENASE | Third-Party Library Recommendations Through Robust Similarity Measures. | Abhinav Jamwal, Sandeep Kumar |
| 2025 | ENASE | Towards an Approach for Project-Library Recommendation Based on Graph Normalization. | Abhinav Jamwal, Sandeep Kumar |
| 2025 | ENASE | VP-IAFSP: Vulnerability Prediction Using Information Augmented Few-Shot Prompting with Open Source LLMs. | Mithilesh Pandey, Sandeep Kumar |
| 2025 | ICASSP | ArtTwin: A Novel Concept of Developing Digital Twin of Human Arterial System. | Akasapu Hemanthika, Dinu S. Chandran, Sandeep Kumar, Sitikantha Roy |
| 2025 | ICDM | A Comparative Study of Classical and Quantum Support Vector Machines for Multimodal Oral Cancer Detection. | Nipun Joshi, Sanchit Baweja, Sandeep Kumar, Vikrant Shokeen, Amit Sharma, Vijeet Gahlawat |
| 2025 | ICONIP | Coarse-and-Learn: Efficient Online Node Labeling. | Subhanu Halder, Manoj Kumar, Yifan Sun, Sandeep Kumar |
| 2025 | IJCNLP | GARuD: Guided Alignment of Representations using Distillation for Ultra-Low-Resource Languages. | Debarchan Basu, Shashwat Bhardwaj, Vaibhav Sharma, Pooja Singh, Sandeep Kumar |
| 2025 | NAACL | MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews. | Sandeep Kumar, Samarth Garg, Sagnik Sengupta, Tirthankar Ghosal, Asif Ekbal |
| 2025 | WWW | Multi-Component Coarsened Graph Learning for Scaling Graph Machine Learning. | Subhanu Halder, Manoj Kumar, Sandeep Kumar |
| 2025 | VLSID | A Tug-of-War Between Static and Dynamic Memory in Intel SGX. | Sandeep Kumar, Abhisek Panda, Advait Nerlikar, Smruti R. Sarangi |
| 2025 | SANER | DATSO: A Difficulty Assessment Tool for Stack Overflow Questions. | Aman Swaraj, Neha Gujar, Manashree Kalode, Bhoomi Bonal, Krishna Agarwal, Sandeep Kumar |
| 2024 | AAAI | No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation. | Nimesh Agrawal, Anuj Kumar Sirohi, Sandeep Kumar, Jayadeva |
| 2024 | COLING | Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles. | Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal |
| 2024 | COMAD | Unveiling Graph Structures for Machine Learning: Learning, Structuring, and Coarsening. | Manoj Kumar, Sandeep Kumar |
| 2024 | EMNLP | 'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews. | Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal |
| 2024 | IGARSS | Enhancing Crop Type Classification from Multi-Frequency Dual-Pol SAR Data by Probabilistic Fusion of Gaussian Processes. | Swarnendu Sekhar Ghosh, Sandeep Kumar, Avik Bhattacharya, Dipankar Mandal, Biplab Banerjee, Narayanarao Bhogapurapu, Paul Siqueira |
| 2024 | IGARSS | Crop Residue Burning and its Impact on air Quality: A Case Study on Northern India. | Sandeep Kumar, Ashmitha Nihar, Abhinav Verma, Swarnendu Sekhar Ghosh, Avik Bhattacharya |
| 2024 | MICCAI | HistoGraphCoarse: Strategizing Graph Coarsening Techniques for Efficient Analysis of Gigapixel Histopathological Images. | Ekta Srivastava, Syed Mohammed Danish, Kumar Arjun, Manoj Kumar, Mohit Kataria, Syed Farhan Abbas, Ishaan Gupta, Sandeep Kumar |
| 2024 | UAI | Optimization Framework for Semi-supervised Attributed Graph Coarsening. | Manoj Kumar, Subhanu Halder, Archit Kane, Ruchir Gupta, Sandeep Kumar |
| 2024 | USENIX | Telescope: Telemetry for Gargantuan Memory Footprint Applications. | Alan Nair, Sandeep Kumar, Aravinda Prasad, Ying Huang, Andy Rudoff, Sreenivas Subramoney |
| 2023 | DATE | Perspector: Benchmarking Benchmark Suites. | Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi |
| 2023 | EMNLP | When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. | Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal |
| 2023 | ENASE | Towards Automated Prediction of Software Bugs from Textual Description. | Suyash Shukla, Sandeep Kumar |
| 2023 | ENASE | Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN. | Aman Swaraj, Sandeep Kumar |
| 2023 | ICASSP | Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting. | Hugo Brehier, Arnaud Breloy, Mohammed Nabil El Korso, Sandeep Kumar |
| 2023 | ICASSP | Estimating Normalized Graph Laplacians in Financial Markets. | Jos Vincius de Miranda Cardoso, Jiaxi Ying, Sandeep Kumar, Daniel P. Palomar |
| 2023 | ICML | Featured Graph Coarsening with Similarity Guarantees. | Manoj Kumar, Anurag Sharma, Shashwat Saxena, Sandeep Kumar |
| 2023 | Tencon | Compact Dual-Band Implantable Asymmetric Multi-Slot Patch Antenna for WMTS and ISM Applications. | Inemella Sai Bharadwaj, Sandeep Kumar, Vijay Kumar |
| 2023 | Tencon | High Gain Ultra-Low NF Wideband CMOS Low Noise Amplifier Design Using 2-Stage Series-Parallel LC Matching Network. | PVCS Sudhanva, Birlangi Yugandhar, Sandeep Kumar, Kunal Kumar, Kalpana G. Bhat |
| 2022 | AAAI | ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions. | Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey |
| 2022 | COLING | Team AINLPML @ MuP in SDP 2021: Scientific Document Summarization by End-to-End Extractive and Abstractive Approach. | Sandeep Kumar, Guneet Singh Kohli, Kartik Shinde, Asif Ekbal |
| 2022 | COMAD | Network Enhancement using Spectral Properties. | Abhishek Roy, Sandeep Kumar |
| 2022 | CVPR | Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique. | Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey |
| 2022 | ECCV | SAU: Smooth Activation Function Using Convolution with Approximate Identities. | Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey |
| 2022 | ICSoft | A Methodology for Detecting Programming Languages in Stack Overflow Questions. | Aman Swaraj, Sandeep Kumar |
| 2022 | ISPASS | SGXGauge: A Comprehensive Benchmark Suite for Intel SGX. | Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi |
| 2022 | Middleware | SecureLease: Maintaining Execution Control in The Wild using Intel SGX. | Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi |
| 2021 | AAAI | Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone. | Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey |
| 2021 | ENASE | An Extreme Learning Machine based Approach for Software Effort Estimation. | Suyash Shukla, Sandeep Kumar |
| 2021 | ENASE | A Stacking Ensemble-based Approach for Software Effort Estimation. | Suyash Shukla, Sandeep Kumar |
| 2021 | FlAIRS | Cross-Device Identity Resolution using Machine Learning: A Scalable Device Graph Approach. | Manasa Priya Koduri, Pei Xuan Lim, Zhen Li, Sandeep Kumar, Muhammad Aamir Saleem, Roger Moy |
| 2021 | ICANN | EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance. | Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey |
| 2021 | ICANN | Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data. | Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey |
| 2021 | ICASSP | Parameter Estimation for Student's t VAR Model with Missing Data. | Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar |
| 2021 | RAID | SecureFS: A Secure File System for Intel SGX. | Sandeep Kumar, Smruti R. Sarangi |
| 2020 | ICDCIT | Identifying Reduced Features Based on IG-Threshold for DoS Attack Detection Using PART. | Deepak Kshirsagar, Sandeep Kumar |
| 2020 | IGARSS | Identifying Settlements Using SVM and U-Net. | Guneet Mutreja, Sandeep Kumar, Divyansh Jha, Abhra Singh, Rohit Singh |
| 2020 | IJCNN | Isolation Forest Based Multi-Source Unsupervised Transfer Learning for Missing GDP Prediction. | Sandeep Kumar, Amit K. Shukla, Pranab K. Muhuri |
| 2020 | WACV | Deep Bayesian Network for Visual Question Generation. | Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri |
| 2019 | ACSSC | Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors. | Sandeep Kumar, Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2019 | HiPC | Replaceability Based Web Service Selection Approach. | Lalit Purohit, Sandeep Kumar |
| 2019 | ICWS | Clustering Based Approach for Web Service Selection Using Skyline Computations. | Lalit Purohit, Sandeep Kumar |
| 2019 | IGARSS | Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data. | Ankush Agarwal, Sandeep Kumar, Dharmendra Singh |
| 2019 | SERVICES | Applicability of Neural Network Based Models for Software Effort Estimation. | Suyash Shukla, Sandeep Kumar |
| 2019 | SERVICES | Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation. | Suyash Shukla, Sandeep Kumar, Pravas Ranjan Bal |
| 2018 | COLING | Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator. | Badri Narayana Patro, Vinod Kumar Kurmi, Sandeep Kumar, Vinay P. Namboodiri |
| 2018 | EMNLP | Multimodal Differential Network for Visual Question Generation. | Badri Narayana Patro, Sandeep Kumar, Vinod Kumar Kurmi, Vinay P. Namboodiri |
| 2018 | ICASSP | Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data. | Junyan Liu, Sandeep Kumar, Daniel P. Palomar |
| 2018 | IJCNN | Interval Type-2 Fuzzy weighted Extreme Learning Machine for GDP Prediction. | Amit K. Shukla, Sandeep Kumar, Rishi Jagdev, Pranab K. Muhuri, Q. M. Danish Lohani |
| 2018 | ICSoft | Extreme Learning Machine based Linear Homogeneous Ensemble for Software Fault Prediction. | Pravas Ranjan Bal, Sandeep Kumar |
| 2018 | ICSoft | Cross Project Software Defect Prediction using Extreme Learning Machine: An Ensemble based Study. | Pravas Ranjan Bal, Sandeep Kumar |
| 2018 | ICSoft | Investigating the Effect of Software Metrics Aggregation on Software Fault Prediction. | Deepanshu Dixit, Sandeep Kumar |
| 2018 | ICSoft | Analysis of Ensemble Models for Aging Related Bug Prediction in Software Systems. | Shubham Sharma, Sandeep Kumar |
| 2018 | PERCOM | Real Time Building and Maintaining Causal Congestion Graph for Intelligent Traffic Management. | Viral Kapoor, Divya Saxena, Vaskar Raychoudhury, Sandeep Kumar |
| 2016 | IGARSS | Class wise optimal feature selection for land cover classification using SAR data. | Shruti Gupta, Sandeep Kumar, Akanksha Garg, Dharmendra Singh, N. S. Rajput |
| 2016 | WWW | Learning Web Queries for Retrieval of Relevant Information about an Entity in a Wikipedia Category. | Vikrant Yadav, Sandeep Kumar |
| 2015 | CICLING | Summarizing Customer Reviews through Aspects and Contexts. | Prakhar Gupta, Sandeep Kumar, Kokil Jaidka |
| 2015 | IGARSS | An efficient use of random forest technique for SAR data classification. | Shruti Gupta, Dharmendra Singh, Keshava P. Singh, Sandeep Kumar |
| 2014 | IGARSS | Parallel approach to expedite morphological feature extraction of remote sensing images for CBIR system. | Sandeep Kumar, Swati Jain, Tanish Zaveri |
| 2014 | VTS | Accelerating capture of infrequent errors on ATE for silicon TV tuners. | Yongquan Fan, Anant Verma, David S. Trager, Ramin K. Poorfard, John Janney, Sandeep Kumar |
| 2013 | ICMLA | Hindi Language Graphical User Interface to Database Management System. | Mohit Dua, Sandeep Kumar, Zorawar Singh Virk |
| 2012 | ICGSE | An Approach to Effectively Transfer Knowledge and Accelerate the Movement of Software Services Offshore. | Sandeep Kumar, Ajit Krishna, V. S. Mani, B. K. Kulkarni, Carlos Arglebe |
| 2012 | ICSE | Inferring class level specifications for distributed systems. | Sandeep Kumar, Siau-Cheng Khoo, Abhik Roychoudhury, David Lo |
| 2011 | FlAIRS | Optimizing Hidden Markov Models for Ocean Feature Detection. | Sandeep Kumar, Sergio Jimnez Celorrio, Frederic Py, Deepak Khemani, Kanna Rajan |
| 2011 | ICSE | Specification mining in concurrent and distributed systems. | Sandeep Kumar |
| 2011 | ICSE | Specification mining in concurrent and distributed systems. | Sandeep Kumar |
| 2011 | ICSE | Mining message sequence graphs. | Sandeep Kumar, Siau-Cheng Khoo, Abhik Roychoudhury, David Lo |
| 2006 | ITC | An Accelerated Jitter Tolerance Test Technique on Ate for 1.5GB/S and 3GB/S Serial-ATA. | Yongquan Fan, Yi Cai, Liming Fang, Anant Verma, William Burchanowski, Zeljko Zilic, Sandeep Kumar |
| 2005 | ACSAC | Using Continuous Biometric Verification to Protect Interactive Login Sessions. | Sandeep Kumar, Terence Sim, Rajkumar Janakiraman, Sheng Zhang |
| 2005 | WACV | Using Continuous Face Verification to Improve Desktop Security. | Rajkumar Janakiraman, Sandeep Kumar, Sheng Zhang, Terence Sim |
| 2000 | ACSAC | Virtual Enterprise Networks: The Next Generation of Secure Enterprise Networking. | Germano Caronni, Sandeep Kumar, Christoph L. Schuba, Glenn Scott |
| 1997 | ICPP | Precise Call Graph Construction for OO Programs in the Presence of Virtual Functions. | Deepankar Bairagi, Dharma P. Agrawal, Sandeep Kumar |
| 1992 | ACSAC | A generic virus scanner for C++. | Sandeep Kumar, Eugene H. Spafford |