An efficient table-driven decoder for one-half rate convolutional codes. - Ajay Dholakia; T. M. Lee; Donald L. Bitzer; Mladen A. Vouk; L. Wang; Paul D. Franzon (ACM Southeast Regional Conference, 1992)

Table-Driven Decoding of Convolutional Codes with Soft Decision. - Havish Koorapaty; Donald L. Bitzer; Ajay Dholakia; Mladen A. Vouk (Coding And Quantization, 1992)

A Lost Cell Recovery Technique Using Convolutional Coding at the ATM Adaptation Layer in B-ISDN/ATM. - Ajay Dholakia; Mladen A. Vouk; Donald L. Bitzer (Data Communication Networks and their Performance, 1993)

A variable-redundancy hybrid ARQ scheme using invertible convolutional codes. - Ajay Dholakia; Mladen A. Vouk; Donald L. Bitzer (VTC, 1994)

Table based decoding of rate one-half convolutional codes. - Ajay Dholakia; Mladen A. Vouk; Donald L. Bitzer (IEEE Trans. Commun., 1995)

Performance evaluation of burst-error-correcting codes on a Gilbert-Elliott channel. - Gaurav Sharma 001; Amer A. Hassan; Ajay Dholakia (IEEE Trans. Commun., 1998)

On Locally Invertible Rate-1/n Convolutional Encoders. - Donald L. Bitzer; Ajay Dholakia; Havish Koorapaty; Mladen A. Vouk (IEEE Trans. Inf. Theory, 1998)

Efficient implementations of the sum-product algorithm for decoding LDPC codes. - Xiao-Yu Hu; Evangelos Eleftheriou; Dieter-Michael Arnold; Ajay Dholakia (GLOBECOM, 2001)

Application of high-rate tail-biting codes to generalized partial response channels. - Michael Tüchler; Christian Weiss; Evangelos Eleftheriou; Ajay Dholakia; Joachim Hagenauer (GLOBECOM, 2001)

A Nanotechnology-based Approach to Data Storage. - Evangelos Eleftheriou; Peter Bächtold; Giovanni Cherubini; Ajay Dholakia; Christoph Hagleitner; Teddy Loeliger; Aggeliki Pantazi; Haralampos Pozidis; T. R. Albrecht; Gerd Karl Binnig; Michel Despont; Ute Drechsler; et al. (VLDB, 2003)

Rate-compatible low-density parity-check codes for digital subscriber lines. - Ajay Dholakia; Sedat Ölçer (ICC, 2004)

Rate-compatible array LDPC codes. - Ajay Dholakia; Sedat Ölçer (ISIT, 2004)

Capacity-approaching codes: can they be applied to the magnetic recording channel? - Ajay Dholakia; Evangelos Eleftheriou; Thomas Mittelholzer; Marc P. C. Fossorier (IEEE Commun. Mag., 2004)

Reduced-Complexity Decoding of LDPC Codes. - Jinghu Chen; Ajay Dholakia; Evangelos Eleftheriou; Marc P. C. Fossorier; Xiao-Yu Hu (IEEE Trans. Commun., 2005)

Analysis of a new intra-disk redundancy scheme for high-reliability RAID storage systems in the presence of unrecoverable errors. - Ajay Dholakia; Evangelos Eleftheriou; Xiao-Yu Hu; Ilias Iliadis; Jai Menon 001; K. K. Rao (SIGMETRICS/Performance, 2006)

A new intra-disk redundancy scheme for high-reliability RAID storage systems in the presence of unrecoverable errors. - Ajay Dholakia; Evangelos Eleftheriou; Xiao-Yu Hu; Ilias Iliadis; Jai Menon 001; K. K. Rao (ACM Trans. Storage, 2008)

Designing a high performance cluster for large-scale SQL-on-hadoop analytics. - Ajay Dholakia; Prasad Venkatachar; Kshitij A. Doshi; Ravikanth Durgavajhala; Stewart Tate; Berni Schiefer; Matthew Sheard; Ramnath Sai Sagar (IEEE BigData, 2017)

Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching. - Miro Hodak; David Ellison; Peter Seidel; Ajay Dholakia (IEEE BigData, 2018)

Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment. - Miro Hodak; Ajay Dholakia (TPCTC, 2018)

Industry Panel on Defining Industry Standards for Benchmarking Artificial Intelligence. - Raghunath Nambiar; Shahram Ghandeharizadeh; Gary Little; Christoph Boden; Ajay Dholakia (TPCTC, 2018)

Towards Power Efficiency in Deep Learning on Data Center Hardware. - Miro Hodak; Masha Gorkovenko; Ajay Dholakia (IEEE BigData, 2019)

Challenges in Distributed MLPerf. - Miro Hodak; Ajay Dholakia (TPCTC, 2019)

Benchmarking AI Inference: Where we are in 2020. - Miro Hodak; David Ellison; Ajay Dholakia (TPCTC, 2020)

Big data deployment in containerized infrastructures through the interconnection of network namespaces. - Carla Sauvanaud; Ajay Dholakia; Jordi Guitart; Chulho Kim; Peter Mayes (Softw. Pract. Exp., 2020)

Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability. - Miro Hodak; Ajay Dholakia (IEEE BigData, 2021)

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (Middleware Demos/Posters, 2021)

Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results. - Miro Hodak; David Ellison; Ajay Dholakia (TPCTC, 2021)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (CoRR, 2021)

Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (CCGRID, 2022)

Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (COMPSAC, 2022)

Benchmarking Considerations for Trustworthy and Responsible AI (Panel). - Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta (TPCTC, 2022)

More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI. - Yingrui Liu Olesiuk; Miro Hodak; David Ellison; Ajay Dholakia (TPCTC, 2022)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (Expert Syst. Appl., 2022)

Benchmarking Generative AI Performance Requires a Holistic Approach. - Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta; Carsten Binnig (TPCTC, 2023)

Benchmarking Large Language Models: Opportunities and Challenges. - Miro Hodak; David Ellison; Chris Van Buren; Xiaotong Jiang; Ajay Dholakia (TPCTC, 2023)

TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison (ICPR (29), 2024)

Evaluation Considerations of Synthetic Natural Language Datasets for Question Answering Applications. - Chris Van Buren; Xiaotong Jiang; Jieyu Lin; Sachin Gopal Wani; Ajay Dholakia; David Ellison (TPCTC, 2024)

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Rodrigo M. Carrillo-Larco; Ajay Dholakia; David Ellison (AAMAS, 2025)

Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Rodrigo M. Carrillo-Larco (VISIGRAPP (2): VISAPP, 2025)