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.
Dealing with Jamming Attacks in Uplink Pairwise NOMA Using Outage Analysis, Smart Relaying and Redundant Transmissions (Dec 2023) Van Lan Dao, Elisabeth Uhlemann, Svetlana Girs IEEE Open Journal of the Communications Society (OJCOMS)
Outage Performance Comparison of Adaptive Relaying Schemes Subject to Jamming (Sep 2023) Van Lan Dao, Svetlana Girs, Elisabeth Uhlemann 28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
Defeating Jamming Attacks in Downlink Pairwise NOMA Using Relaying (Jul 2023) Van Lan Dao, Svetlana Girs, Elisabeth Uhlemann IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC2023)
Scheduling Firm Real-time Applications on the Edge with Single-bit Execution Time Prediction (May 2023) Shaik Salman, Van Lan Dao, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte 2023 IEEE 25th International Symposium on Real Time Distributed Computing (ISORC) (ISORC'23)
Anomaly Attack Detection in Wireless Networks Using DCNN (Oct 2022) Van Lan Dao, Björn Leander IEEE 8th World Forum on Internet of Things (WFIoT2022)
Deep Neural Network for Indoor Positioning Based on Channel Impulse Response (Sep 2022) Van Lan Dao, Shaik Salman International Conference on Emerging Technologies and Factory (ETFA'2022)
Project Title | Status |
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FORA - Fog Computing for Robotics and Industrial Automation | finished |