Academic inquiry & applied innovation
Research & Publications
Advancing the foundations of intelligent systems through rigorous inquiry, open research, and
a commitment to AI that remains reliable, interpretable, and useful.
Fields of inquiry
Research Interests
01 AI in Pedagogy & Education
Investigating the role of AI in personalized learning, curriculum design, and the development of intelligent tutoring systems. Have build AI enabled education platform with multiple types of graders with feedback for code, subjective, objective, image and video graders. Have AI-enabled proctoring platform that flags suspicious activities during online exams. Content Authoring Tool to generate contents, questions and answers for multiple choice, subjective, objective questions, supporting mathematics and coding with variations of context, phrasing and scenarios.
02 Scientific Machine Learning
Developing physics-informed neural networks and data-driven discovery of governing equations for complex systems.
03 Agentic AI
Exploring the design of autonomous agents capable of reasoning, planning, and acting in complex environments.
04 Computer Vision & Pattern Recognition
Investigating hierarchical feature extraction in multi-modal environments and the robustness of spatial understanding in synthetic datasets.
05 Natural Language Processing
Semantic drift analysis and long-context retrieval mechanisms within transformer-based architectures.
06 Reliable & Alignment-First AI
Making AI systems explainable, predictable, and consistently aligned with human intent across diverse cultural contexts.
Peer-reviewed work
Selected Publications
Collaboration Inquiries
Interested in academic partnership or technical consulting for AI reliability? My door is
open for substantive research dialogues.
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