Van Lan Dao, Researcher

Van-Lan Dao is a researcher at the Data Communication Group, School of Innovation, Design, and Engineering, Malardalen University, Västerås, Sweden. He received B.S., M.S., and Ph.D. degrees in electrical and electronic engineering, automation and control engineering, and computer science and engineering from Le Quy Don Technical University in Vietnam, and Malardalen University in Sweden in 2011, 2016, and 2023, respectively. From 2011 to April 2018, he worked as a lecturer at the Le Quy Don Technical University, in Vietnam. He was a visiting researcher at the University of Electro-Communications, Japan to design a Beat sensor for various applications such as smart agriculture, smart home, etc for two months in 2017. He also worked with industrial partner, Robot Technology - Danish Technological Institute in Denmark for five months in 2021. He worked with several industrial companies before doing a Ph.D. in Sweden. He also collaborates with ABB colleagues to work on indoor positioning and anomaly detection applications using machine learning.

Lan has also been involved in the following courses:

DVA238 - Datacommunication for embedded system 2 (2020) as a lab assistant.
DVA258 - Datacommunication for embedded system 1 (2021) as a lab assistant.
DVA120 - Computer Networks I (2022) as a lab assistant.

Lan’s research interests include embedded system design for Internet of Things (IoT), wireless sensor networks (WSN) and wireless body area networks (WBAN), hardware security, digital VLSI/ASIC design and FPGA-based system hardware design, non-orthogonal multiple access, timely and reliable communication for wireless networks under security requirements, meta-heuristic optimization, convex optimization, and machine learning to solve the given problems.