About Me

I am Dr. Irfan Qaisar, and I received my Ph.D. in Control Science and Engineering from Tsinghua University, Beijing, China, in October 2026.

My doctoral research focused on intelligent methods for occupancy sensing, occupancy prediction, occupant-centric control, and energy-efficient operation of smart buildings. My dissertation was titled:

Multi-Sensor Occupancy Sensing for Occupant-Centric Control in Smart Buildings

My research has progressively expanded from conventional machine learning and deep learning to Transformers, Mamba-based sequence models, large language models, vision-language models, multimodal AI, and agentic AI.

I am particularly interested in developing intelligent systems that connect:

Sensing → Prediction → Reasoning → Decision Making → Building Control

My work combines real-world multi-sensor and video data with EnergyPlus, OpenStudio, machine learning, deep learning, computer vision, LLMs, model predictive control, and reinforcement learning.

The broader objective of my research is to develop energy-efficient, autonomous, adaptive, and occupant-centered building systems that balance energy performance with indoor environmental quality and thermal comfort.

Before my Ph.D., I completed an M.S. in Control Theory and Control Engineering at Nanjing University of Science and Technology and a B.E. in Electronic Engineering at Dawood University of Engineering and Technology.

My earlier research also includes robust control, fuzzy systems, event-triggered control, networked control systems, and multi-agent systems.

You can find my complete publication record on Google Scholar.