Construction of Capacity Achieving (M, d, infty) Constrained Codes With Least Decoder Window Length. - Ashwin Kumar; Kees A. Schouhamer Immink (IEEE Trans. Inf. Theory, 2008)

Design of close-to-capacity constrained codes for multi-level optical recording. - Ashwin Kumar; Kees A. Schouhamer Immink (IEEE Trans. Commun., 2009)

Great War stories told by the people - Crowdsourced cultural heritage in digital museums. - Ingo Frommholz; David Graves; Haiming Liu 002; Ashwin Kumar; Gordon Brady (JCDL, 2014)

Evaluating Network Stacks for the Virtualized Mobile Packet Core. - Ashwin Kumar; Priyanka Naik; Sahil Patki; Pranav Chaudhary; Mythili Vutukuru (APNet, 2021)

Automated detection of surgical wounds in videos of open neck procedures using a mask R-CNN. - Tingyan Deng; Shubham Gulati; Ashwin Kumar; William Rodriguez; Benoit M. Dawant; Alexander Langerman (Image-Guided Procedures, 2021)

VizXP: A Visualization Framework for Conveying Explanations to Users in Model Reconciliation Problems. - Ashwin Kumar; Stylianos Loukas Vasileiou; Melanie Bancilhon; Alvitta Ottley; William Yeoh 001 (ICAPS, 2022)

Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching. - Ashwin Kumar; Yevgeniy Vorobeychik; William Yeoh 001 (ATT@IJCAI, 2022)

Mapping pediatric spinal cord development with age. - Ashwin Kumar; Simon N. Vandekar; Kurt Schilling; Aashim Bhatia; Bennett A. Landman; Seth A. Smith (Image Processing, 2022)

Providing Care: Intrinsic Human-Machine Teams and Data. - Stephen Russell; Ashwin Kumar (Entropy, 2022)

A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems. - Stylianos Loukas Vasileiou; William Yeoh 001; Tran Cao Son; Ashwin Kumar; Michael Cashmore; Daniele Magazzeni (J. Artif. Intell. Res., 2022)

Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. - Ashwin Kumar; Yevgeniy Vorobeychik; William Yeoh 001 (ICAPS, 2023)

Algorithmic Fairness in Temporal Resource Allocation. - Ashwin Kumar (AAMAS, 2023)

Enhancing Sentiment Analysis Accuracy in IMDb Movie Reviews with Deep Learning Models: A Comparative Study of RNN and CNN Models. - Ashwin Kumar (ICCST, 2023)

A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract). - Stylianos Loukas Vasileiou; William Yeoh 001; Son Tran; Ashwin Kumar; Michael Cashmore; Daniele Magazzeni (IJCAI, 2023)

Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition. - Ruida Zeng; Aadarsh Jha; Ashwin Kumar; Terry Luo (CoRR, 2023)

DR-HAI: Argumentation-based Dialectical Reconciliation in Human-AI Interactions. - Stylianos Loukas Vasileiou; Ashwin Kumar; William Yeoh 001; Tran Cao Son; Francesca Toni (CoRR, 2023)

Similarity-based optimised and adaptive adversarial attack on image classification using neural network. - Balika J. Chelliah; Mohammad Mustafa Malik; Ashwin Kumar; Nitin Singh; Rajan Regin (Int. J. Intell. Eng. Informatics, 2023)

Exploiting Machine Learning Bias: Predicting Medical Denials. - Stephen Russell; Fabio Montes Suros; Ashwin Kumar (AAAI Spring Symposia, 2024)

Pyramis: Domain Specific Language for Developing Multi-tier Systems. - Ashwin Kumar; Ajinkya Tanksale; Armaan Chowfin; Mohan Rajasekhar Ajjampudi; Arnav Mishra; Abuhujair Khan; Vishal Saha; Priyanka Naik; Mythili Vutukuru (APNet, 2024)

AppSteer: Framework for Improving Multicore Scalability of Network Functions via Application-aware Packet Steering. - Ashwin Kumar; Rajneesh Katkam; Pranav Chaudhary; Priyanka Naik; Mythili Vutukuru (CCGrid, 2024)

Dialectical Reconciliation via Structured Argumentative Dialogues. - Stylianos Loukas Vasileiou; Ashwin Kumar; William Yeoh 001; Tran Cao Son; Francesca Toni (KR, 2024)

Feasibility of Application Layer Header Parsing in eBPF and P4. - Ashwin Kumar; Abhik Bose; Khushboo Tiwari; Arnav Mishra; Abhishek Dixit; Abuhujair Khan; Mythili Vutukuru (IFIP Networking, 2024)

Host-Based Allocators for Device Memory. - Oren Bell; Ashwin Kumar; Chris Gill 001 (CoRR, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; et al. (CoRR, 2024)

Accelerating Longitudinal MRI using Prior Informed Latent Diffusion. - Yonatan Urman; Zachary Shah; Ashwin Kumar; Bruno P. Soares; Kawin Setsompop (CoRR, 2024)

Detecting Prefix Bias in LLM-based Reward Models. - Ashwin Kumar; Yuzi He; Aram H. Markosyan; Bobbie Chern; Imanol Arrieta Ibarra (FAccT, 2025)

DECAF: Learning to be Fair in Multi-agent Resource Allocation. - Ashwin Kumar; William Yeoh 001 (AAMAS, 2025)

MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders. - Maya Varma; Ashwin Kumar; Rogier van der Sluijs; Sophie Ostmeier; Louis Blankemeier; Pierre J. Chambon; Christian Bluethgen; Jip Prince; Curtis P. Langlotz; Akshay Chaudhari (CoRR, 2025)

Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting. - Ashwin Kumar; William Yeoh 001 (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)

FairVizARD: A Visualization System for Assessing Multi-Party Fairness of Ride-Sharing Matching Algorithms. - Ashwin Kumar; Sanket Shah; Meghna Lowalekar; Pradeep Varakantham; Alvitta Ottley; William Yeoh 001 (CoRR, 2025)