Imed Ben Dhaou
PhD
imed.bendhaou@utu.fi |
Imed Ben Dhaou (S’97-M’02, SM'2011) was born in 1972 in Tunisia. He
received Master’s degree in Electrical Engineering from the Tampere University
of Technology, Tampere, Finland, the Ph.D. degree from the Royal Institute of
Technology, Stockholm, Sweden, and the docent degree from University of Turku
in 1997, 2002, 2019, respectively.
His research interests are in the areas of
embedded systems for IoT, interconnect optimization, low-power circuit design,
high-level power estimation, robust estimation, Intelligent Transportation
Systems, and VLSI for DSP and wireless systems. He has authored and co-authored
more than 70 journals and conference papers in these areas.
Dr. Ben Dhaou received the Best Paper Award from
the 1997 Finnish Symposium on Signal Processing and a travel grant from the
Ph.D. Forum at DAC, Los Angeles in 2000.
Since September 2014, Dr. Ben Dhaou has been
serving as an editor to the microelectronics journal, Elsevier. He was the Guest
Editor for the special issue of on-chip signaling in deep-submicron technology,
Journal of Analog Integrated Circuits and Signal Processing.
- Addressing Societal Challenges and Enhancing Academic Effectiveness through Challenge-Driven Education: A Case Study in Smart Microgrid (2024) IoT Enabled-DC Microgrids: Architecture, Algorithms, Applications, and Technologies Rwegasira, Diana; Dhaou, Imed Ben; Maziku, Hellen; Tenhunen, Hannu
- Architectures and Technologies for DC Microgrid (2024) IoT Enabled-DC Microgrids: Architecture, Algorithms, Applications, and Technologies Dhaou, Imed Ben
- A systematic literature review on contemporary and future trends in virtual machine scheduling techniques in cloud and multi-access computing (2024)
- Frontiers in Computer Science
- Blockchain Technology for DC Microgrids (2024) IoT Enabled-DC Microgrids: Architecture, Algorithms, Applications, and Technologies Namane, Sarra; Dhaou, Imed Ben; Marwa, Ahmim
- Bridging Convolutional Neural Networks and Transformers for Efficient Crack Detection in Concrete Building Structures (2024)
- Sensors
- FBMP-IDS: FL-based Blockchain-powered Lightweight MPC-secured IDS for 6G networks (2024)
- IEEE Access
- Formal Methods for Microgrids (2024) IoT Enabled-DC Microgrids: Architecture, Algorithms, Applications, and Technologies Krichen, Moez; Dhaou, Imed Ben; Adoni, Wilfried Yves Hamilton; Sghaier, Souhir
- Internet-of-Things-Based Communication in Microgrids (2024) IoT Enabled-DC Microgrids: Architecture, Algorithms, Applications, and Technologies Kondoro, Aron; Dhaou, Imed Ben
- IoT Enabled-DC Microgrids: Architecture, Algorithms, Applications, and Technologies (2024) Dhaou, Imed Ben; Spagnuolo, Giovanni; Tenhunen, Hannu
- Blockchain-Based Authentication Scheme for Collaborative Traffic Light Systems Using Fog Computing (2023)
- Electronics
- Deep learning for COVID-19 contamination analysis and prediction using ECG images on Raspberry Pi 4 (2023)
- International Journal of Imaging Systems and Technology
- Design and Implementation of an Internet-of-Things-Enabled Smart Meter and Smart Plug for Home-Energy-Management System (2023)
- Electronics
- Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model (2023)
- IEEE Access
- Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey (2023)
- Sustainability
- Hardware Trojan Mitigation Technique in Network-on-Chip (NoC) (2023)
- Micromachines
- Identification, 3D-Reconstruction, and Classification of Dangerous Road Cracks (2023)
- Sensors
- LiMPO: lightweight mobility prediction and offloading framework using machine learning for mobile edge computing (2023)
- Cluster Computing
- Special Section on Resiliency techniques in cloud computing infrastructures and applications (2023)
- Computers and Electrical Engineering
- Aligning Engineering Education with Industrial Needs through Specialized Courses (2022)
- IEEE Global Engineering Education Conference
- A novel method for life estimation of power transformers using fuzzy logic systems: An intelligent predictive maintenance approach (2022)
- Frontiers in Energy Research