Play with AI and Optimization Algorithms for Smart Wireless IoT & Energy ICT
Ardiansyah received the B.Eng. degree in computer engineering from Universitas Indonesia (UI), Indonesia, in 2010. He then obtained the M.Eng. degree in computer science and Ph.D. degree in artificial intelligence convergence from Chonnam National University (CNU), South Korea, in 2014 and 2021, respectively.
He was a Backhaul Network Engineer at Telkomsat Indonesia (2010-2012), a Trainer of the Trainers (2014-2017) with the Cisco Networking Academy, and an R&D engineer (2012-2014, 2017-Now) with the Advanced Network and Internet of Things (IoT) Lab, CNU. His research interests include AI & machine learning, data-driven predictive modeling, and optimization algorithms specifically focused on wireless sensor networks, smart grid communication, and energy informatics.
News / Info
Our article "A Multi-step Time-Series Clustering-based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting" has been accepted for publication in Energies (March 2022) [Link to Article]
Our article "Energy-Efficient Optimal Power Allocation for SWIPT Based IoT-Enabled Smart Meter" has been accepted for publication in MDPI Sensors - Special Issue Energy Harvesting Technologies and Applications for the Internet of Things and Wireless Sensor Networks (November 2021) [Link to Article]
Our paper on SOC forecasting of Battery Energy Storage in Grid Ancillary Services has been accepted to appear at IEEE SmartGridComm 2021 [September 2021]. The preprint version of this paper can be accessed in TechRxiv Server [link to preprint]
Our paper "IoT System Architecture for Battery Digital Twin" has been accepted and will be scheduled for presentation at the KNOM 2021 Conference (Virtual Meeting), 29-30 April 2021 [Link to the conference]
Our article "A decision tree-based NLOS detection method for the UWB indoor location tracking accuracy improvement" is among the Top 10% Most Downloaded Paper 2018-2019 in International Journal of Communication Systems, Wiley. (April 2020) [Link to Article]
Our article "Latency-Optimal Network Intelligence Services in SDN/NFV-based Energy Internet Cyberinfrastructure" has been accepted for publication in IEEE Access - Special Section on Software Defined Networks for Energy Internet and Smart Grid Communications (December 2019) [Early Access]
Our article "Appliance Load Profile Assessment for Automated DR Program in Residential Buildings " has been accepted to be published in Smart Media Journal (December 2019)
Our paper "Latency Minimization for Energy Internet Communications with SDN Virtualization Infrastructure" has been accepted and will be scheduled for presentation in the 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm '19) - Communications and Networks to Enable the Smart Grid Symposium, 21 - 24 October 2019, Beijing, China. (July 2019)
I am selected as one of youth fellows at APNIC 48 Conference, 8 - 12 September 2019, Chiang Mai, Thailand. (June 2019) [Announcement]
I am selected as one of fellowship participants at Asia Pacific Internet Governance Academy (APIGA) 2019, 12 - 16 August 2019, Seoul, South Korea. (June 2019) [Announcement]
Our article "A decision tree-based NLOS detection method for the UWB indoor location tracking accuracy improvement" published for early view in International Journal of Communication Systems. (June 2019) [Early view version]
Our article "A Decision Tree-based NLOS Detection Method for the UWB Indoor Location Tracking Accuracy Improvement" accepted to appear in International Journal of Communication Systems: Special Issue on Data Analytics in Wireless Systems and IoT, Wiley. (SCIE: Impact Factor 1.717, April 2019) [Accepted Version]