Van-Lan Dao is a Ph.D. student at the Data Communication Group, School of Innovation, Design, and Engineering, Malardalen University, Västerås, Sweden. He received his B.S. and M.S. degrees in electrical and electronic engineering and automation and control engineering from the Le Quy Don Technical University, Ha Noi, Vietnam, in 2011 and 2016, respectively. From 2011 to April 2018, he worked as a lecturer at the Le Quy Don Technical University, in Vietnam. He has been a Visiting Researcher with the University of Electro-Communications, Tokyo, Japan for two months in 2017 to design a Beat sensor for various applications such as smart agriculture, smart home, etc. He worked with several industrial companies before doing a Ph.D. in Sweden. In 2021, he had a collaboration with an industrial partner, Robot Technology - Danish Technological Institute in Denmark. 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.
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)
Defeating Jamming Using Outage Performance Aware Joint Power Allocation and Access Point Placement in Uplink Pairwise NOMA (Aug 2021) Van-Lan Dao, Le-Nam Hoang, Svetlana Girs, Elisabeth Uhlemann IEEE Open Journal of the Communications Society (OJCOMS)
Outage Performance of Pairwise NOMA Allowing a Dynamic Decoding Order and Optimal Pairs of Power Levels (Nov 2020) Van-Lan Dao, Le-Nam Hoang, Svetlana Girs, Elisabeth Uhlemann IEEE Open Journal of the Communications Society (OJCOMS)
Enabling Fog-based Industrial Robotics Systems (Sep 2020) Shaik Salman, Václav Struhár, Van-Lan Dao, Nitin Desai, Zeinab Bakhshi Valojerdi The 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2020)
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