Title:
Closed-Loop Neuromodulation for the Treatment of Neurodegenerative Diseases

Abstract :
Wearable closed-loop systems including biosensors for efficient diagnosis and neuromodulators for subsequent treatment of neurodegenerative diseases and prediction of health conditions.  The later devices are becoming major research targets to mimic brain operation. Consequently, hardware-based neuromorphic learning techniques are the focus of emerging control units to be embedded in proposed medical devices.  This talk covers signal processing and custom integrated circuits implementing wearable bioelectronic closed-loop systems. These methods deal with multidimensional design challenges such as efficient power management, low-power and high-data rate wireless communication methods, small volume devices, reliable wearable brain-machine interfaces. In these neuromodulation applications, priority could be given to non-invasive approaches, however for some healthcare dysfunctions, wearable systems can not apply, implantable devices should be used.  Case studies include epilepsy, vision, stroke, addictions, etc.

Biography:
Dr. Mohamad Sawan is Chair Professor in Westlake University, Hangzhou, China, and Emeritus Professor in Polytechnique Montreal, Canada. He is founder and director of the Center of Excellence in CenBRAIN Neurotech in Westlake University. Dr. Sawan research activities are bridging micro/nano electronics with biomedical engineering to introduce smart medical devices dedicated to improving the quality of human life. He is the VP Publications of IEEE Circuits and Systems Society. He is founder of the Polystim Neurotech Laboratory. He was a Canada Research Chair in Smart Medical Devices (2001-2015), and was leading the Microsystems Strategic Alliance of Quebec, Canada (1999-2018). Dr. Sawan published more than 1000 peer reviewed papers and many books and patents. He received the Zhejiang Westlake Friendship Award, the Qianjiang Friendship Ambassador Award, the Shanghai International Collaboration Award, the Queen Elizabeth II Golden Jubilee Medal. Dr. Sawan is Fellow of the IEEE, Fellow of the Canadian Academy of Engineering, Fellow of the Royal Society of Canada and “Officer” of the National Order of Quebec.

Title:
Energy Harvesters for Wearable Devices

Abstract:
For the specifications of Wireless Body Area Networks (WBANs), eHealth sys- tems, and wearable devices, batteries are not desirable. They maximize the sensor nodes’ size and need to be adjusted every few years through human interference. Energy harvesting is now being studied as the primary source of electricity for wearable devices. Several initiatives have succeeded in using energy harvesting to operate the wearable devices’ electronic components. How- ever, to rely primarily on energy harvesting in wearable devices, there are still some obstacles that need to be addressed. This work surveys the development of various energy harvesting methodologies utilized to drive wearable devices. The addressed harvesters are piezoelectric, glucose biofuel cell, triboelectric genera- tors, thermoelectric generators, solar cells, and radio frequency (RF) harvesters. Keywords: Energy harvesting, Piezoelectric harvester, Enzymatic Biofuel cells, Triboelectric nanogenerators, Thermoelectic generators

Biography:
Dr. Ahmed Madian (SM'12) is currently Professor at the Department of Electronics and computer Engineering, Faculty of Engineering and applied science, NILE University, Giza, Egypt. He is former director of Master Program sept. 2015 – Sept. 2020 Also, He is the director of Nanoelectronics Integrated System Design Research center (NISC) since 2016. Also, He is director of Electronics and computer engineering program since 2020-present. He has published more than 175 papers in international conferences and journals. His H-index is currently 24. Also, he served in the many technical and organizing committee of many international conferences. He received many research grants as Principle Investigator (PI), CO-PI, or Consultant from different national/international organizations. He won the best researcher award (Dr. Hazem Ezzat award 2017) for his outstanding research profile and Elshorok academy award for Innovation and technology development from ASRT. He is member of the national radio of science committee (NRSC) from 2018-2021 and member of the Council of Communications and Information Technology, Egyptian Academy for science, research and technology since 2022. Dr. Madian is actively serving as a reviewer in several journal and conference publications including IEEE conferences and journals. He served as guest associate editor for many international journals. He is the founder of IEEE Circuits and systems (CASS) Egypt technical chapter and co-founder of the IEEE Robotics and automations (RAS) Egypt technical chapter. He is currently the IEEE Egypt Section Secretary and member of Ex-COM.

Title:
Toward Full-smart Bioelectronic Devices

Abstract:
Bioelectronics became a vital component of the modern medicine as it is used in detecting and curing many diseases such as abnormal heart rate, Parkinson, and Epilepsy. Usually, the devices are designed to last as long as possible. However, in some diseases, the human body needs variable performance in order to keeps the efficacy of the device. This leads to smart devices that need to automatically adapt its performance based on the different patterns in the human body. In order to maximize the lifetime of the devices, we proposed to have also self-diagnosis for the devices. Hence, the device will not only responsible for monitoring the human body but also will be monitoring itself and make decisions about its performance. These kinds of devices will be full smart as it monitors its health as well as the human body health.

Biography:
Dr. Ahmed Soltan received the B.Sc. and M.Sc. degrees from the University of Cairo, Cairo, Egypt, in 2004 and 2008, respectively. He received the Ph.D. degree in electronics and communication from Cairo University in 2014. He received the 2014–2016 best thesis award from Cairo for his Ph.D. thesis. He worked on circuit and system design and modelling in the fractional order domain during his Ph.D. research. He is currently an assistant professor at Nile University, Egypt. He was a Research Associate and EDA/CAD Specialist with the School of Engineering, Newcastle University, Newcastle upon Tyne, U.K. He was a Teacher Assistant with the faculty of Engineering, Fayoum University, Fayoum, Egypt, for nine years and was an R&D Firmware Engineer for eight years. He also was an R&D Manager for an LED company at Qatar for one year and half. His current research interests include smart energy harvesting systems and power management for biomedical implantable devices and lab-on-chip systems. He is also interested in the thermal impact of the implantable devices on the human tissues, embedded system design for lab-on-chip system, the investigation of fractional circuits and systems, specifically in fractional order analog filters for signal processing, and fractional order modelling for biomedical applications. Dr. Soltan’s research aims to establish a new healthcare monitoring system and diagnosis on the fly by development of autonomous devices. Dr. Soltan published more than 80 papers in prestige journals with Google H-index 15. He got the award the best thesis award from Cairo University for 2014 and he got the State Encouragement Award in Egypt 2019 for his contribution in the field of biomedical research in Egypt and worldwide. He won a Fellowship from Royal Academy of Engineering in Leaders in Innovations (LIF) and he is a fellow from the higher Academy of Education in UK.

Title:
Artificial Intelligence in electrical and computer engineering design, challenges and prospects for Wearable Devices

Abstract:
Over the past decade, deep learning has led to great success in solving problems where previous approaches had been helpless. But this success has been mainly related to classification and, to a lesser extent, prediction problems, and it typically requires large training data sets for the algorithms. Science and engineering problems also include design problems, which are usually ill-defined, and their training data is usually limited. The talk with outline some of today’s computational intelligence paradigms, discussing prospects and challenges for the previous issues from the software and hardware standpoints. Then two case studies for analog circuit sizing and EMG-based Prosthesis Control of an artificial hand will be presented as examples.

Biography:
Dr. Mounir Boukadoum is professor of microelectronics engineering at The University of Quebec at Montreal (UQAM), Canada. He holds a PhD degree in Electrical Engineering degree from The University of Houston, Texas. His current research covers the application of artificial intelligence to solve analysis and design problems in engineering, particularly in relation to biomedical outcomes. Pr. Boukadoum is the current director of the Quebec Strategic Alliance for Microsystems research consortium (ReSMIQ) and an active member of IEEE, with involvement in several international conference steering committees and in the Neural Systems and Applications Technical Committee. He is a cofounder of the IEEE NEWCAS conference, now having interregional flagship status, of which he has co-chaired the organization of several editions, and cofounder of the Montreal chapter of the IEEE Computational Intelligence Society, of which he was president from 2009 to 2018.