Trustworthy & semantic AI
Confidence algebra, provenance, temporal validity, privacy, interoperability, and secure machine knowledge.
Research / Verified record
Research and publications.
This page lists peer-reviewed publications, preprints, research artifacts, and active open-source investigations.
Research topics
Research areas.
The work is grouped by topic.
Agent systems & governance
Context-aware execution, deliberative simulators, controlled agent trees, and auditable recommendation systems.
Edge AI & AIoT
Protocols, compact reasoning, constrained-device MCP, wearable sensing, and embedded intelligence.
Efficient machine learning
Physics-grounded energy metrics, compact architectures, and environmental accountability for compute.
Health & embodied AI
Wearables, medical imaging, speech analysis, privacy-aware biomedicine, and humanoid robotics.
Compact data systems
Hash-augmented structures, compressed-domain processing, and semantic interchange for machines.
Canonical bibliography
Publications & preprints
2026
The Environmental Cost of Digital Sovereignty: Water, Energy, and Emissions Impacts of Sovereign AI Infrastructure in the Global South
PreprintarXiv:2607.13443 · July 15, 2026
Models water, electricity, and emissions pressures for sovereign-AI deployment scenarios and proposes principles for environmentally responsible, resource-aware infrastructure.
Evaluation of Alternative-Based Information Systems for Deliberative Polling using an Agentic Simulator
PreprintarXiv:2606.11692 · June 10, 2026
Introduces an agentic simulator for measuring justification coverage, diversity, and adversarial robustness in large-scale deliberative polling systems.
JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
Peer reviewedThe International FLAIRS Conference Proceedings 39(1)
A systematic gap analysis and backward-compatible extension set for representing confidence, provenance, temporal scope, embeddings, integrity, and validation in AI-generated linked data.
TOML: Transistor Operations for Machine Learning: A Physics-Grounded Energy Efficiency Framework
Peer reviewedThe International FLAIRS Conference Proceedings 39(1)
Extends transistor-level energy modeling to multiple machine-learning architectures and introduces metrics for switching, memory-compute balance, and capability-normalized efficiency.
Counting Constraints in POMDPs based on PID Controllers
Peer reviewedThe International FLAIRS Conference Proceedings 39(1)
A Bayesian architecture for incorporating uncertain event-count constraints into POMDP decision processes, integrating probabilistic counts with PID-style control.
Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
Peer reviewedThe International FLAIRS Conference Proceedings 39(1)
Evaluates lightweight models and physics-informed rules for classifying seven neck-posture states from a single wearable IMU on constrained hardware.
2025
Counting Doors by Integrating POMDP Models and PID Controllers
Peer reviewed38th Florida Conference on Recent Advances in Robotics
Integrates probabilistic door counting into robot planning and control, connecting uncertain perception with POMDP reasoning and PID controllers.
2023
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI
Peer reviewed2023 International Conference on Machine Learning and Applications (ICMLA)
Compares transfer-learning architectures for classifying brain tumors from MRI scans and examines their relative diagnostic performance.
2022
An Insight into the Intricacies of Lingual Paraphrasing Pragmatic Discourse on the Purpose of Synonyms
Journal articleBulletin of Electrical Engineering and Informatics 11(5)
Examines neural paraphrasing and synonym choice with attention to semantic preservation, fluency, and pragmatic discourse.
Multi-Dimensional Spectral Process for Cepstral Feature Engineering & Formant Coding
Journal articleJournal of Electrical Electronics Engineering 1(1), pages 1 to 20
Introduces a multi-dimensional speech feature approach and the Speech Quefrency Transform for joint analysis of pitch, formants, and spectral structure.
Medical Imaging a Transfer Learning Process with Multimodal CNN: Dermis-Disorder
Book chapterLecture Notes in Networks and Systems
Applies multimodal convolutional transfer learning to the classification of dermatological disorders from medical imagery.
Exploring Public Attitude Towards Children by Leveraging Emoji to Track Out Sentiment Using Distil-BERT
Book chapterLecture Notes in Networks and Systems
Uses a fine-tuned DistilBERT model and emoji signals to examine public sentiment and online attitudes concerning children.
2019
Towards Enhanced Comprehension of Human Errors in Cybersecurity Attacks
Book chapterAdvances in Intelligent Systems and Computing
Studies human error as a factor in cybersecurity incidents and frames improved comprehension as part of more effective defensive systems.
2018
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Research artifacts
Software, presentations and proposals.
These items are not counted as peer-reviewed publications.
Corpusgen v0.1.3
A language-agnostic framework for generating and evaluating speech corpora with maximal phoneme coverage.
Voice Controlled Unmanned Aerial Vehicles
Research presentation on voice interaction and control architectures for UAV systems.
Real-time Data Analysis: Sky Eyes Project
A proposed cloud-connected drone platform for live image, video, voice, and sensor analysis.
Source profiles
Publication profiles.
External profiles may contain duplicate or automatically matched entries. Records on this page are checked against primary publication metadata.