Guohao Lan
Assistant Professor
- Email: g.lan AT tudelft.nl
- Office: 2.W.720, Building 28
- Address: Van Mourik Broekmanweg 6, 2628 XE Delft, The Netherlands
I am a tenured Assistant Professor in the Embedded Systems Group of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology, the Netherlands. My research explores how to augment the environment and the human body with smart cyber-physical systems that can sense, communicate, and learn, to enhance our capabilities in comprehension, perception, and problem-solving — a vision I refer to as Pervasive Augmented Intelligence.
Before joining TU Delft, I was a postdoctoral researcher at Duke University, working with Maria Gorlatova. I earned my Ph.D. in Computer Science and Engineering from the University of New South Wales, Australia, in November 2018, under the supervision of Mahbub Hassan and Wen Hu. I was also a member of the Networks Research Group at Data61-CSIRO. Prior to my Ph.D., I obtained my M.Sc. degree in Computer Science from KAIST, Korea, in February 2015 under the supervision of Myungchul Kim. I obtained my Bachelor degree in Software Engineering from Harbin Institute of Technology, China, in 2012, and completed my thesis research at the Institute of Information Engineering, CAS and Institute of Computing Technology, CAS, China.
After five years in the Netherlands, I will be leaving TU Delft in Fall 2026 to begin a new chapter at the University of Macau, Macau SAR, China. My new group will be affiliated with the Department of Computer and Information Science and the Centre for Artificial Intelligence and Robotics. A new website is coming soon.
In the meantime, my group has multiple openings immediately available (2026 Fall and 2027 Spring/Fall intakes) at all levels (Research Assistant Professor, Postdoctoral Researcher, Ph.D., M.Sc., and Research Assistant). Strong and highly motivated candidates with interests in systems research, pervasive computing, machine learning, and a passion for building next-generation AI-enhanced human-centric systems are encouraged to apply.
Members in my group will have opportunities to collaborate and exchange with world-leading universities and research institutes. I also support internship at leading technology companies in the Greater Bay Area and at major industrial research labs worldwide.
Please read the notes to prospective students and get a sense of our research before reaching out.