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Research

Applied research in AI systems and streaming reliability, and peer-review service for journals and conferences. Each work lists its status, DOI, and primary source.

Papers and datasets

Publications and datasets across generative-AI policy, retrieval-augmented generation, hybrid cloud-edge intelligence, model editing, and knowledge-agent architectures.

All research

Newest first. Preprints, manuscripts, and datasets

View ORCID record

  1. Latest · Preprint

    Jul 27, 2026

    EventFlowSentry: Reproducible Fault Injection and Metamorphic Testing for Event-Time Streaming Pipelines

    SSRNPreprintDOI 10.2139/ssrn.7193121

  2. Preprint

    May 5, 2026

    A Cross-Sectional Pilot Audit of Accessible University Generative-AI Policies Using a Policy Clarity and Implementation Index

    PreprintDOI 10.21203/rs.3.rs-8876294/v1

  3. Data Set

    Feb 13, 2026

    Policy Clarity and Implementation Index (PCII) Dataset: Cross-Sectional Crawl of University Generative-AI Policies (Feb 2026)

    PublishedDOI 10.5281/zenodo.18627149

  4. Preprint

    Jan 2026

    Amorphous Intelligence in Hybrid Cloud-Edge Systems: Distributed AI Cognition Without Epistemic Authority

    PreprintDOI 10.36227/techrxiv.176834666.66906312/v1

  5. Preprint

    Jan 2026

    LLM-Powered Contextual Diagnosis Support for Rare Diseases Using Electronic Health Records

    PreprintDOI 10.36227/techrxiv.176834437.73411532/v1

  6. Preprint

    Jan 2026

    Subspace Collisions in Knowledge Editing: Orthogonal Low-Rank Updates for Scalable, Stable Model Edits

    PreprintDOI 10.36227/techrxiv.176834437.78088768/v1

  7. Preprint

    Jan 2026

    From Chatbots to Knowledge Agents: Evidence-Aware Architectures for Long-Horizon Generative AI Systems

    PreprintDOI 10.36227/techrxiv.176800991.12749719/v1

  8. Preprint

    Jan 2026

    Evidence Coverage Evaluator: A Comprehensive Framework for Assessing Grounding Quality in Retrieval-Augmented Generation Systems

    PreprintDOI 10.36227/techrxiv.176784505.56675782/v1

  9. Preprint

    Jan 2026

    RAG as a Scientific Instrument: Measuring Evidence Completeness, Uncertainty, and Knowledge Gaps in Generative AI Systems

    PreprintDOI 10.36227/techrxiv.176784506.69820111/v1

Peer review

I review manuscripts on AI systems, distributed computing, and software engineering for journals and conferences.

IEEE

  • IEEE AccessJournal
  • IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal
  • IEEE Transactions on Mobile ComputingJournal
  • IEEE Open Journal of the Computer SocietyJournal
  • IEEE Transactions on Network Science and EngineeringJournal
  • IT ProfessionalJournal

ACM

  • ACM Conference on AI and Agentic SystemsConference
  • ACM Transactions on Software Engineering and MethodologyJournal

Springer Nature

  • Neural Computing and ApplicationsJournal

Elsevier

  • ArrayJournal
  • Future Generation Computer SystemsJournal
Array reviewer certificate (PDF)Future Generation Computer Systems reviewer certificate (PDF)ORCID record