| 2025 | COLING | Enhancing Causal Relationship Detection Using Prompt Engineering and Large Language Models. | Pulkit Chatwal, Amit Agarwal, Ankush Mittal |
| 2022 | ICDCIT | Deep Learning and Linguistic Feature Based Automatic Multiple Choice Question Generation from Text. | Rajat Agarwal, Vaishnav Negi, Akshat Kalra, Ankush Mittal |
| 2021 | AI | Eye-focused Detection of Bell's Palsy in Videos. | Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal, Ankush Mittal |
| 2020 | MMSP | Detection of Gait Abnormalities caused by Neurological Disorders. | Daksh Goyal, Koteswar Rao Jerripothula, Ankush Mittal |
| 2019 | CIT | Classification of Lesions in Retinal Fundus Images for Diabetic Retinopathy Using Transfer Learning. | Siddharth Gupta, Avnish Panwar, Silky Goel, Ankush Mittal, Rahul Nijhawan, Amit Kumar Singh |
| 2018 | WWW | Combining Neural, Statistical and External Features for Fake News Stance Identification. | Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, Ankush Mittal |
| 2016 | ICDCIT | Language Identification and Disambiguation in Indian Mixed-Script. | Bhumika Gupta, Gaurav Bhatt, Ankush Mittal |
| 2012 | ICDCIT | Parallelization of PageRank on Multicore Processors. | Tarun Kumar, Parikshit Sondhi, Ankush Mittal |
| 2009 | ACIVS | Parallel Blob Extraction Using the Multi-core Cell Processor. | Praveen Kumar, Kannappan Palaniappan, Ankush Mittal, Guna Seetharaman |
| 2007 | CIT | A Time Series Approach for Identification of Exons and Introns. | Ravi Gupta, Ankush Mittal, Kuldip Singh, Prateek Bajpai, Suraj Prakash |
| 2007 | CIT | Identification of Nuclear Receptors and Its Family Using Wavelet Variance Features. | Ravi Gupta, Ankush Mittal, Kuldip Singh, Piyush Sharma, Ankit Sharma |
| 2007 | IGARSS | Harmonic analysis of time-series NOAA/AVHRR images for hotspot detection and land features classification. | Rohit Singh Gautam, Dharmendra Singh, Ankush Mittal, Sumit Bhatia |
| 2007 | IGARSS | Fusion of MODIS, AVHRR and ASTER data using curvelet transform for land cover classification. | Harish Kumar, Dharmendra Singh, Ankush Mittal |
| 2006 | ACCV | High Quality Compression of Educational Videos Using Content-Adaptive Framework. | Ankush Mittal, Ankur Jain, Sourabh Jain, Sumit Gupta |
| 2006 | ICTAI | LocalMotif - An In-Silico Tool for Detecting Localized Motifs in Regulatory Sequences. | Vipin Narang, Wing-Kin Sung, Ankush Mittal |
| 2005 | ICDCIT | A Classification Based Approach for Root Unknown Phylogenetic Networks Under Constrained Recombination. | M. A. H. Zahid, Ankush Mittal, Ramesh Chandra Joshi |
| 2004 | ECAI | Gene Network Modeling through Semi-Fixed Bayesian Network. | Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal |
| 2004 | ICTAI | Learning Multi-Time Delay Gene Network Using Bayesian Network Framework. | Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal |
| 2004 | PSB | Protein Structure and Fold Prediction Using Tree-Augmented Bayesian Classifier. | Arunkumar Chinnasamy, Wing-Kin Sung, Ankush Mittal |
| 2003 | CAIP | Video Retrieval by Context-Based Interpretation of Time-to-Collision Descriptors. | Ankush Mittal, Wing-Kin Sung |
| 2003 | MMM | Contextual Information Extraction for Video Data. | Ankush Mittal, Edward Altman |
| 2002 | ICDM | Employing Discrete Bayes Error rate for discretization and feature selection. | Ankush Mittal, Loong Fah Cheong |
| 2002 | ICIP | Robust identification of gradual shot-transition types. | Ankush Mittal, Loong Fah Cheong, Leung Tung Sing |
| 2001 | CVPR | Dynamic bayesian framework for extracting temporal structure in video. | Ankush Mittal, Loong Fah Cheong, Leung Tung Sing |
| 2001 | VCIP | Developing an integrated video analysis system. | Ankush Mittal, Loong Fah Cheong |