IOT is a research group under Microelectronics and Embedded Systems Field of Study, Industrial Systems Engineering Department, School of Engineering and Technology. It is under the supervision of Dr. Mongkol Ekpanyapong. This research area spans from Embedded Systems Design, FPGA Design, High Performance Computing, Computer Vision, Deep Learning, and Agritronics. IOT research group also has a close collaboration with AIT Vision Laboratory and Internet Education and Research Laboratory (InterLab).

Current Research 

IOT Design
Embedded System Design
Computer Architecture
Computer Vision
Deep Learning

 Selected Publications

C. Srichan**, M. Ekpanyapong, M. Horpratum, P. Danvirutai, E. Bohez, D. Phokharatkul, and A. Wisitsoraat, “Highly-Sensitive Surface-Enhanced Raman Spectroscopy (SERS)-based Chemical Sensor using 3D Graphene Foam Decorated with Silver Nanoparticles as SERS Substrates”, Scientific Reports
L. Tangjittaweechai**, M. Ekpanyapong, T. Watewai, K. Athikulwongse, S. K. Lim, and A. Tavares, “Parallel Single-Pair Shortest Path Algorithm Using General Purpose Computations on Graphics Processing Unit”,  IEICE Electronics Express
W. Sritriratanarak***, M. Ekpanyapong, P. Chongstitvatana, “Applying SVM to Data Bypass Prediction in Multi Core Last- Level Caches”, IEICE Electronics Express, Nov 2015,
Waqar S. Qureshi**, Mongkol Ekpanyapong, Matthew N. Dailey, Suchet Rinsurongkawong, Anton Malenichev and Olga Krasotkina, “QuickBlaze: Early Fire Detection Using a Combined Video Processing Approach”, Fire Technology, May 2015
Sarayut Amornwongpeeti**, Mongkol Ekpanyapong, Nattapon Chayopitak, João L. Monteiro, Júlio S. Martins, João Luiz Afonso: “A single chip FPGA-based solution for controlling of multi-unit PMSM motor with time-division multiplexing scheme”. Microprocessors and Microsystems – Embedded Hardware Design 39(8): 621-633 (2015)
Sarayut Amornwongpeeti**, Mongkol Ekpanyapong, Nattapon Chayopitak, Joao L. Monteiro3, Julio S. Martins, and Joao L. Afonso, “A Single Chip FPGA-Based Cross-Coupling Multi-Motor Drive System” IEICE Electronics Express
Peera Thontirawong***, Chundong Wang, Weng-Fai Wong, Mongkol Ekpanyapong, Prabhas Chongstitvatana, “3DFTL: a three-level demand-based translation strategy for flash device”, IEICE Electronics Express, Feb 2015
Krit Athikulwongse, Mongkol Ekpanyapong, Sung Kyu Lim, “Exploiting Die-to-Die Thermal Coupling in 3-D IC Placement”, IEEE Transactions on VLSI (TVLSI), Vol. 22, Issues 10, 2014.
Asim Nisar, Mongkol Ekpanyapong, Antonio Valles, and Kuppuswamy Sivakumar, “45nm Core 2 Silicon Performance”, Intel Technology Journal(ITJ) Vol. 12, Issues 3, pp. 157-168, 2008

Michael Healy, Mongkol Ekpanyapong, Sung Kyu Lim, Hsien-Hsin S. Lee, and Gabriel Loh, “Multi-Objective Microarchitectural Floorplanning”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Vol. 26, No. 1, pp. 38-52, 2007
Mongkol Ekpanyapong, Jacob Minz, Thaisiri Watewai, Hsien-Hsin S. Lee, and Sung Kyu Lim, “Profile-Guided Microarchitectural Floorplanning for Deep Submicron Processor Design”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Vol. 25, No. 7, pp. 1289-1300, 2006

** Doctoral student

Research Title:Development of vehicle speed estimation algorithm in video  surveillance using deep Learning

Research Title:Dynamic Path Planning and Area Assignment for Collaborative Multi UAV in SAR Operation

Research Title:Lie Detection Using Micro-Facial Expressions

Research Title:Improve Low Bitrate Video Streaming using Deep Learning

Research Title:Real-Time Detection and Diagnosis of Skin Diseases using Deep Learning Techniques

Research Title:Deep feature selection for cloth type and color classification target on edge devices processing

Contact: Dr. Mongkol Ekpanyapong, <>

Location: ISE 214

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