Huiming Wang | Nonlinear Control | Research Excellence Award

Assoc. Prof. Dr. Huiming Wang | Nonlinear Control | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Huiming Wang is an Associate Professor at the School of Automation, Chongqing University of Posts and Telecommunications, China. He earned his Ph.D. in Measurement Technique and Automation Equipment from Southeast University, following an M.S. in Control Theory and Control Engineering and a B.S. in Automation. Assoc. Prof. Dr. Huiming Wang has professional experience as a postdoctoral researcher at Nanyang Technological University, Singapore, and serves as deputy director of key laboratories and departments. His research interests focus on anti-disturbance control, robotics, servo systems, and power electronics. His research skills include robust control, sliding-mode control, disturbance observers, and intelligent electromechanical systems. Assoc. Prof. Dr. Huiming Wang has received national and international awards for innovation and best papers, reflecting his strong academic impact and leadership in automation research.

Citation Metrics (Scopus)

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Featured Publications

Generalized Disturbance Estimation Based Continuous Integral Terminal Sliding Mode Control for Magnetic Levitation Systems

IEEE Transactions on Automation Science and Engineering, 2025 · 20 Citations
Current-Constrained Finite-Time Control Scheme for Speed Regulation of PMSM Systems With Unmatched Disturbances

IEEE Transactions on Automation Science and Engineering, 2025 · 3 Citations
Active Disturbance Rejection with Continuous Sliding Mode Control for Lower Limb Rehabilitation Exoskeleton

Conference Paper · 0 Citations
A Current-Constrained Finite-Time Disturbance Rejection Control Scheme for Buck Converter

Conference Paper · 0 Citations
Sampled-Data Safety-Critical Control of Nonlinear Systems with Input Delay

Conference Paper · 0 Citations

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.)

Emad Alsusa – IoT (Internet of Things) Analytics – Best Researcher Award 

Prof. Emad Alsusa - IoT (Internet of Things) Analytics - Best Researcher Award 

Manchester University - United Kingdom

Author Profile

Early Academic Pursuits

Prof. Emad Alsusa embarked on his academic journey with a solid foundation in Electrical and Electronic Engineering, earning a Bachelor of Science degree with First Class Honors from Salford University in 1995, following which he pursued a PhD in Communication Engineering at the University of Bath, graduating in 2000. His academic excellence was evident even during his foundational year at Salford University, where he was recognized as the Top Student Award recipient.

Professional Endeavors

Alsusa's professional trajectory spans across prestigious institutions and significant roles in academia. He commenced his postdoctoral research at the University of Edinburgh in 2000 and later held various academic positions at the University of Manchester, progressively advancing from Lecturer to his current position as Reader in the Department of Electrical and Electronic Engineering. Noteworthy are his visiting appointments, particularly at Khalifa University in the UAE and the Technical University of Dresden, which reflect his international collaboration and recognition in the field.

Contributions and Research Focus On IoT (Internet of Things) Analytics

As a prolific researcher, Alsusa has made significant contributions to the field of Communication Engineering, evident through his extensive publication record, comprising over 296 peer-reviewed papers and three patents. His research focus encompasses diverse areas such as interference exploitation, adaptive cross-layer techniques for 5G communication systems, networking protocols for energy consumption reduction, and radar systems. Notably, his work on interference exploitation and novel interference management techniques has garnered international attention, leading to collaborations and recognition from esteemed institutions worldwide.

Accolades and Recognition

Prof. Alsusa's contributions have been recognized through numerous accolades, including Best Paper Awards at prestigious conferences such as the IEEE International Symposium on Networks, Computers & Communications, the IEEE International Conference on Wireless Communications & Networking, and the IEEE International Symposium on Power Line Communications. His leadership roles in professional societies, editorships of esteemed journals, and invitations to deliver talks and keynote addresses underscore his prominence in the academic community.

Impact and Influence

Beyond individual achievements, Alsusa has made a profound impact through his mentorship and supervision of numerous research students, with over 32 postgraduate researchers under his guidance. His leadership in research groups and consortia, as well as his involvement in organizing conferences and workshops, highlights his commitment to fostering collaborative research environments and advancing the field collectively.

The IoT Analytics Excellence Award recognizes outstanding achievements in leveraging data insights from connected smart devices to drive innovation and efficiency.

Legacy and Future Contributions

Prof. Emad Alsusa's legacy lies in his multifaceted contributions to Communication Engineering, spanning research, education, and professional service. His pioneering work, combined with his mentorship and leadership, has positioned him as a prominent figure in the field. Looking ahead, Alsusa continues to drive innovation and collaboration, aiming to address emerging challenges in wireless communication systems and leave a lasting impact on academia and industry.

Citations

  • Citations   4505
  • h-index       36
  • i10-index    105

Notable Publication