Published research
2026 · Conference paper
01
Bhagyeshkumar Chokhawala
Affiliation: Comcast
44th International RAIS Conference.
Presents a balanced enterprise architecture framework for AI adoption that aligns business, technology, developer experience, and user experience considerations with governance, security, ethics, and phased execution.
2026 · Conference paper
02
Bhagyeshkumar Chokhawala and Atif Farid Mohammad
Affiliation: Capitol Technology University
44th International RAIS Conference.
Introduces an intrinsically explainable recommender architecture grounded in Active Inference, where recommendation scoring decomposes into interpretable preference, epistemic, and risk components.
2026 · Conference paper and journal article
03
PlanningEFEMix: Hybrid Active Inference for Sequential Decision-Making under Uncertainty
Bhagyeshkumar Chokhawala and Atif Farid Mohammad
Affiliation: Capitol Technology University
RAIS Conference Proceedings 2022–2026, Paper 0646; extended journal version in Advances in Machine Learning & Artificial Intelligence, 7(2), 1–17.
Introduces a hybrid Active Inference planning framework that combines heterogeneous decision agents through Expected Free Energy, forward simulation, and adaptive state-action bias memory.
2026 · Technical report / preprint
02
Bhagyeshkumar Chokhawala
Affiliation: Comcast
Zenodo. DOI: 10.5281/zenodo.19722898
Presents an integrated model connecting business capability maps, technical capability maps, shared implementation models, traceability matrices, and governed enterprise AI adoption.
2025 · Conference paper
03
Bhagyeshkumar Chokhawala and Atif Farid Mohammad
Affiliation: Capitol Technology University
2025 International Conference on Computational Science and Computational Intelligence (CSCI).
A cognitive AI and BPM framework focused on adaptive, context-aware process optimization, explainable decision support, process intelligence, and governed operational learning.
2025 · Conceptual research article
04
Bhagyeshkumar Chokhawala
Affiliation: Comcast
Zenodo. DOI: 10.5281/zenodo.21480921
Combines architecture recovery, specification-driven development, bounded AI-assisted implementation, bidirectional traceability, and evidence-based release assurance for brownfield systems.
2025 · Conceptual research paper
05
Bhagyeshkumar Chokhawala
Affiliation: Comcast
Zenodo. DOI: 10.5281/zenodo.21479432
Introduces the BAR framework—Business Value and Purpose, Architecture Readiness and Integration, and Responsible Adoption and Realization—to connect enterprise AI strategy, architecture, governance, human oversight, and measurable benefits.
2023 · Conceptual research paper
06
Bhagyeshkumar Chokhawala
Affiliation: Comcast
Zenodo. DOI: 10.5281/zenodo.21479160
Introduces a capability-driven realization framework linking strategic outcomes, baseline evidence, capability gaps, target-state design, transition architectures, investment roadmaps, and benefits governance.
2023 · Conceptual research paper
07
Bhagyeshkumar Chokhawala
Affiliation: Comcast
Zenodo. DOI: 10.5281/zenodo.21478254
Distinguishes digitization, digital modernization, and digital transformation and integrates lifecycle cost, adoption, resilience, risk reduction, and benefits realization into an ROI-oriented investment framework.