Keynote Speakers
KEYNOTE SPEAKER
Prof. Poltak Sihombing, Ph.D.
Faculty of Computer Science and Information Technology,
Universitas Sumatera Utara (USU)
Prof. Poltak Sihombing, M.Kom., Ph.D. is a lecturer at the Faculty of Computer Science and Information Technology, Universitas Sumatera Utara (USU). He served as Head of the Undergraduate Computer Science Study Program for two consecutive terms (2011–2016 and 2016–2021). Furthermore, from 2021 to 2026, he served as Head of the Computer Science Doctoral Study Program at the same faculty.
In addition to his academic leadership, he is actively involved in professional organizations and currently serves as an Advisor of the Association of Higher Education in Computer Informatics, North Sumatra Province.
His research interests encompass microcontrollers, intelligent systems, information retrieval, and the Internet of Things (IoT). His ongoing and recent research projects include intelligent building security systems using SIM900, hydroponic nutrient monitoring based on ESP8266, fruit sorting systems using Arduino and TCS320 sensors, real-time heart rate monitoring systems, IoT-based forest fire prevention systems, AI-based precision farming for chili plants (2022), cloud monitoring for precision aquaculture using IoT and AI (2024), and AI-driven digital precision farming to improve goat farming productivity (2025).
Prof. Sihombing has authored three books:Visual Basic 6.0 (2017); A–Z Microcontroller 8051: Hardware, Interfaces, Programming, and Applications (2018); and Introduction to Parallel and Distributed Computing with Applications to Machine Learning (2025).
KEYNOTE SPEAKER
Jae-Hyeon Park, Ph.D.
Lecturer Specialist, BINUS University
Jae-Hyeon Park is a Lecturer Specialist at BINUS University with a multidisciplinary background spanning physics, electrical engineering, robotics, and artificial intelligence. He earned his Bachelor’s degree in Physics and completed both his Master’s and Ph.D. degrees in Electrical Engineering at KAIST.
His doctoral research focused on embedded algorithms, robotic fault diagnosis, and state estimation for autonomous drones. He proposed a novel filtering framework for manifold-based systems using stable embedding, with applications to Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and visual–inertial odometry.
Prior to joining academia, he worked as a Staff Engineer in the Robot Innovation Group at Samsung Display, where he developed AI-driven robot intelligence for fully autonomous manufacturing environments.
His research interests include robotics, state estimation, embedded intelligence, and AI for autonomous systems, with publications in robotics, control systems, and applied artificial intelligence venues.