Dr. Irfan Qaisar received his PhD in Control Science and Engineering from Tsinghua University, Beijing, China, in October 2026. His research focuses on artificial intelligence, multimodal deep learning, computer vision, intelligent control, and smart and sustainable urban environments. His research expertise encompasses machine learning, deep learning, Transformer and Mamba architectures, large language models (LLMs), vision-language models (VLMs), agentic AI, and spatiotemporal data analysis. He has applied these technologies to occupancy sensing and prediction, intelligent building energy management, occupant-centric HVAC control, and indoor environmental monitoring. His broader research interests include multimodal data fusion, intelligent urban systems, human-centered AI, and AI-driven solutions for sustainable buildings and cities. His work aims to develop reliable, adaptive, and energy-efficient intelligent systems that improve environmental performance, occupant comfort, and urban sustainability. Dr. Qaisar is actively engaged in academic research, peer review, guest editorial activities, and international research collaboration.