Anthony Aighobahi

AI-Enhanced Learning & Healthcare Ethics

Dr. Aighobahi develops simulation-based learning tools, including an AI-Powered Patient Persona Simulation that allows healthcare students to practise communication, empathy, and clinical reasoning with realistic patient characters. His work also explores fairness and ethics in AI applications for healthcare.

Anusha Venkataraman

Nanotechnology, Microelectronics & Physics

Dr. Venkataraman develops multi-agent LLM pipelines and interactive simulations for physics education. Her AI research also extends to building advanced models for microplastics detection and analysis.

Ajay Dhruv

Agentic AI, Machine Learning & Education

Dr. Dhruv integrates advanced AI systems—including agentic AI and generative models—into teaching, learning, and applied research. His work focuses on leveraging emerging AI capabilities to enhance educational outcomes and support innovative pedagogy.

Ghazanfar Latif

AI, Assistive Technologies, Medical Imaging & Robotics

Dr. Latif works across artificial intelligence, assistive technologies, generative AI, medical imaging, computer vision, large language models, IoT, robotics, and deep learning. He holds a Best PhD Gold Medal and has been recognized among the World’s Top 2% of Scientists by Stanford University researchers in both 2024 and 2025. 

Md Moniruzzaman

AI, Quantum Intelligence & Blockchain Security

Dr. Moniruzzaman applies AI and quantum intelligence to solve complex problems in next-generation cyber-physical systems. His work spans trading networks, intelligent transportation systems, and precision agriculture, with a focus on blockchain-based security.

Munima Jahan

Artificial Intelligence in Education

Dr Jahan’s research focuses on the intersection of software engineering, artificial intelligence, and machine learning. Her work aims to improve the reliability and quality of complex software systems by applying machine learning techniques to software engineering challenges such as requirement analysis, defect detection, and development process optimization. She also studies ethical AI, including bias in large language models and the use of AI to enhance teaching effectiveness, personalize learning, and strengthen research capacity in education.

Quan Nguyen

AI, Data Science & Higher Education

Dr. Nguyen builds pedagogy-driven AI systems that enhance learning and metacognition, as well as large-scale predictive models of student retention and academic success. A centrepiece of his research is TRU-Think, an AI assistant that uses Socratic questioning, metacognitive prompts, and real-time code analysis to cultivate deeper student understanding.

Sean Hellingman

Computer Vision & Applied Sports Analytics

Dr. Hellingman leads the salmon monitoring project, a collaboration with Skeetchestn Indian Band and Secwépemc Fisheries Commission that uses AI-powered video analysis to classify fish movements and generate real-time salmon counts in the Deadman Watershed. He is also developing computer vision tools for TRU Athletics, providing near real-time performance insights for the Women’s Volleyball and Soccer programs.

Shaista Jabeen

AI in Student Learning & Academic Integrity

Dr. Jabeen explores how AI can support students in ideation, outlining, conceptual guidance, and initial research while encouraging independent critical thinking. Her work also establishes clear boundaries between responsible AI use, plagiarism, and academic misconduct.

Sukhchandan Randhawa

Data Analytics, Machine Learning & IoT

Dr. Sukhchandan’s work emphasizes bridging the gap between theoretical knowledge and real-world implementation through applied research and experiential learning. Her focus is on integrating intelligent technologies into practical solutions for data-driven decision-making and smart environments.

Vijal Jain

AI & Signal Processing for Earth Observation

Dr. Jain’s research explores the intersection of Earth observation and AI-driven analytics, applying advanced signal-processing techniques to remote sensing challenges. Her work advances how we monitor and understand environmental systems using intelligent data analysis.

Yang Song

Video Analytics & Temporal Action Detection

Dr. Song’s research goes beyond traditional video classification to pinpoint exactly when actions start and end within longer, unedited video. This technology has applications in healthcare—supporting training, rehabilitation, and elderly care—and in education, where it can analyse classroom activities and lab performance to provide insights into engagement and skill development.

Yasin Mamatjan

Multimodal Machine Learning & Wearable Health Monitoring

Dr. Mamatjan’s research bridges clinical analytics, physiological modelling, cancer genomics, and agent-based AI to drive breakthroughs in cancer diagnostics, stroke detection, and critical care monitoring. He also co-develops a decision support system with a smart chatbot for enhanced glioma diagnosis, in collaboration with Toronto General Hospital and Gnowit Inc.

Zeinab Teimoori

AI, Machine Learning & Generative AI

Dr. Teimoori advances intelligent systems and data-driven decision-making in sustainability. Her ongoing research explores the intersection of AI and intelligent transportation systems, including quantum learning for optimizing electric transportation systems and energy-efficient smart cities, and developing AI-driven models for predictive analysis in environmental monitoring and transportation planning.