Exploring the frontiers of artificial intelligence, knowledge systems, and human-centered computing. We build intelligent systems that understand, reason, and interact with the world.

Active Projects

01

DecentraGov-Lab

Decentralized Trust & Digital Infrastructure

Blockchain Digital Governance Secure Rights

Exploring how blockchain can enable trustworthy digital ecosystems for government, enterprise, and public services. We design decentralized frameworks for vehicle registration, digital rights management, and secure asset transfer with tamper-proof, transparent architectures.

Related Publications
  • Blockchain for Vehicle Registration (2024)
  • SecureRights: Blockchain-Powered DRM Framework (2024)
02

AutoCyber-Sec

Autonomous Cybersecurity for API & Cloud Systems

Anomaly Detection API Security Threat Modeling

Developing intelligent systems that autonomously detect, analyze, and mitigate cyber threats in API-driven and cloud-native environments. Using anomaly detection, behavioral modeling, and knowledge-based threat reasoning to protect modern distributed systems.

Related Publications
  • Anomaly Detection for API Security (2021)
03

PathAI-Nav

Multi-Agent Pathfinding & Scalable Navigation

A* Optimization Recast/Detour Parallel Computing Game AI

Investigating scalable algorithms for pathfinding and spatial reasoning in dynamic environments. Current work explores multi-threaded A* pathfinding, real-time navigation mesh updates, and AI-assisted optimization for games, robotics, and simulation platforms.

Related Submissions
  • Multi-threaded Recast-Based A* Pathfinding for Scalable Navigation
04

AI4-SE-Quality

AI-Driven Software Engineering Quality & Reliability

AI-assisted Testing SQA Automation Industry Adoption

Studying the role of AI in improving software quality assurance processes. Analyzing capabilities, limitations, and practical barriers to adoption. Building intelligent agents for automated test generation and defect prediction across the software engineering lifecycle.

Related Submissions
  • AI-Driven Software Quality Assurance: Systematic Literature Review
05

Trust-SemanticAI

Trusted Knowledge Systems & Semantic AI

Semantic Web Provenance Explainable AI

Exploring how semantic technologies bring structure, trust, and explainability to AI-driven systems. Investigating provenance, trust scoring, and transparent reasoning in knowledge-driven applications for enterprise and public-sector use.

Related Publications
  • TuckerDNCaching: Negative Sampling with Tucker Decomposition (2023)
  • MDNCaching: Quality Negatives for KG Embedding (2022)
  • Negative Sampling in KG Representation Learning: A Review (2024)
06

Cognitive-AI Systems

Human-Centered AI & Cognitive Computing

HCI Metacognition User Behavior

Understanding how human cognition, age, and behavior influence interactions with AI-driven systems. Designing adaptive interfaces and personalized interaction models that improve usability, accessibility, and user satisfaction in intelligent applications.

Related Publications
  • Impact of Metacognition and Age on Game UI Design (2020)
  • Customer Churn Prediction: A Cognitive Approach (2015)

Join CogNet Lab

We're always looking for motivated researchers, students, and collaborators who share our passion for intelligent systems, knowledge engineering, and human-centered AI. If you're interested in pursuing research in any of our focus areas, we'd love to hear from you.

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