Angelos Athanasiadis | Machine Learning and AI Applications | Research Excellence Award

Mr. Angelos Athanasiadis | Machine Learning and AI Applications | Research Excellence Award

Aristotle University of Thessaloniki (AUTH) | Greece

Mr. Angelos Athanasiadis is a Ph.D. candidate in Electrical and Computer Engineering at Aristotle University of Thessaloniki, specializing in FPGA-based acceleration of Convolutional Neural Networks (CNNs) and heterogeneous computing systems. He holds an M.Eng. in Electronics and Computer Systems and an MBA with high distinction. His research focuses on energy-efficient FPGA architectures, full-precision CNN inference on reconfigurable hardware, drone-assisted monitoring systems, distributed embedded system emulation, and timing-accurate simulation of cyber-physical systems. Angelos has contributed to EU-funded research projects such as ADVISER and REDESIGN, and has gained industrial experience in embedded system development and R&D at Cadence Design Systems, EXAPSYS, and SEEMS PC. He developed a parameterizable high-level synthesis matrix multiplication library for AMD FPGAs and designed FUSION, an open-source framework integrating QEMU with OMNeT++ via HLA/CERTI for deterministic, sub-microsecond synchronized, multi-node emulation of heterogeneous computing systems. His work supports realistic prototyping of systems combining CPUs, GPUs, and FPGAs in accuracy-critical domains such as aerial monitoring and autonomous embedded platforms. With a strong foundation in both academic research and industrial applications, Angelos advances the field of FPGA-based acceleration and distributed embedded computing, bridging innovation with practical deployment.

Profile : Google Scholar

Featured Publications

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2025). An efficient open-source design and implementation framework for non-quantized CNNs on FPGAs. Integration, 102625.

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2025). Energy-efficient FPGA framework for non-quantized convolutional neural networks. arXiv preprint arXiv:2510.13362.

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2024). An open-source HLS fully parameterizable matrix multiplication library for AMD FPGAs. WiPiEC Journal – Works in Progress in Embedded Computing Journal, 10(2).

Katselas, L., Jiao, H., Athanasiadis, A., Papameletis, C., Hatzopoulos, A., … (2017). Embedded toggle generator to control the switching activity during test of digital 2D-SoCs and 3D-SICs. 2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS).

Katselas, L., Athanasiadis, A., Hatzopoulos, A., Jiao, H., Papameletis, C., … (2017). Embedded toggle generator to control the switching activity. 2017. (Conference details same as above; possible short version or extended abstract.)

Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Mr. Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Presidency University | India

Mr. Syed Abrar Ahmed is an Assistant Professor in the Department of Electronics and Communication Engineering at Presidency University, Bangalore, with over 14 years of academic experience. He holds an M.Tech in VLSI Design and Embedded Systems from Dr. Ambedkar Institute of Technology, Bangalore, under Visvesvaraya Technological University (VTU), and a B.E. in Electronics and Communication Engineering from Ghousia College of Engineering, Ramanagaram. His teaching expertise spans Network Analysis, Embedded System Design, Microcontrollers, Microprocessors, and Analog and Digital Electronics. His research contributions focus on embedded systems, Internet of Things (IoT), machine learning applications in cognitive radio, and assistive technologies for visually impaired individuals. He has published conference papers, journal articles, and a book chapter, including contributions to Scopus-indexed proceedings and reputed journals such as the International Journal of Recent Technology and Engineering. He has guided numerous undergraduate projects in microcontrollers, robotics, IoT, GSM/GPS systems, and FPGA-based designs, and has actively participated in faculty development programs, workshops, and seminars on advanced topics. His career is distinguished by dedication to academic excellence, innovation in teaching, and contributions to emerging fields in electronics and communication engineering.

Profiles : Scopus | Orcid

Featured Publications

“QML-Based Abstraction Techniques for Predictive Modeling in Banking”

“Performance analysis of a PPM-OOK based hybrid modulation scheme for Satellite-to-Underwater FSO communication”

“Decision Tree Based 5modular Redundancy Algorithm for Fault Identification in Full Adder Circuit”

“5G’s Impact on the Evolution of Smart Cities”

“Multifunctional Frequency Management With 5g Cognitive Networking”

“A Glimpse of the 5G-Enabled Modern City”

“Third Eye A Writing Aid for Visually Impaired People”