Mohamad SAWAN, Ph.D.

School of Engineering

Cutting Edge Net of Biomedical Research and INnovation

CONTACT

Email: sawan@westlake.edu.cn

Website: https://cenbrain.westlake.edu.cn

Mohamad SAWAN, Ph.D.

School of Engineering

Cutting Edge Net of Biomedical Research and INnovation

CONTACT

Email: sawan@westlake.edu.cn

Website: https://cenbrain.westlake.edu.cn


Biography

Mohamad Sawan, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Fellow of the IEEE, is an internationally renowned scientist in the field of smart medical devices. He has made significant contributions in implantable and wearable medical devices based on smart microsystems. Professor Sawan got a Ph.D. in Electrical Engineering from University of Sherbrooke in 1990, was a postdoc fellow in Biomedical Engineering in McGill University in 1991, and was assistant professor, associate professor and full professor from 1991 to 2018 in Polytechnique, the Engineering School of University of Montreal. Recently, he joined the School of Engineering of Westlake University as a Chair Professor, Founder and Principle Investigator of the Center for Biomedical Research and Innovation (CenBrain).

 

Research

Prof. Sawan was awarded a Tier 1 Canada Research Chair in Smart Medical Devices from 2001 to 2015. He is currently the Editor-in-Chief of the internationally influential IEEE Transactions on Biomedical Circuits and Systems.

Smart medical devices include biosensors and actuators, which involve microelectronics, microfluidics, integrated circuits, microfabrication, signal processing, wireless communication, nanophotonics, microsystem integration, assembly, and packaging. This multidisciplinary field of interest is mandatory to build custom microsystems intended to recover or enhance human body functions. Within his CenBrain, Professor Sawan is focusing on diagnosis and treatment of neurodegenerative diseases.  He is building brain-machine interfaces integrating artificial intelligence methods to decode and predict neural activities. The main academic achievements of Professor Sawan include:

 

a. Proposed a cortical implantable microsystem for vision recovery, which is intended to solve vision dysfunctions related to neural systems.

b. Proposed artificial sphincter and bladder implantable microsystem as novel and effective alternative solutions for patients with incontinence and urination problems.

c. Proposed smart petri dish based on an array of capacitive sensors, for cell-based disease screening and drug-resistance analysis.

d. Proposed microsystems to locate the focus of epileptic seizures, and onset detect these seizures.  He is applying artificial intelligence technique to predict ahead of time the emergence of the seizures, then drug can be administered to avoid seizures. As a result, epileptic patients can have normal lives.

e. Proposed a combined EEG+NIR helmet-based system which can detect any brain abnormalities within 2cm under cerebral cortex. It can be used to detect cortical changes due the oxygenation rate variation of intracortical tissues.

f. Proposed several wireless power transfer mechanisms and energy scavenging systems (electromagnetic, thermal, optical and RF energy) for implantable microsystems. He proposed wireless links to simultaneously transfer energy and exchange data insuring reliable operation of miniaturized implantable medical devices.

 

Due to the above research accomplishments, Professor Sawan has been awarded many international awards, including the Elizabeth II Jubilee Diamond Award, Lebanon Presidential Award, Barbara Turnbull Award, ACFAS - Jacques-Rousseau Award, J. A. Bombardier Award, Shanghai Municipal International Collaboration Award, Top Ten Discoveries of the Year by Québec Science Magazine, and Officer of National Order of Quebec. 

 

Representative Publications

[1] ZHAO S., YANG J., SAWAN M., Energy-Efficient Neural Network for Epileptic Seizure Prediction”, To appear, IEEE Trans. On Biomedical Engineering, Online ISSN: 1558-2531, 2021.

[2] RONG G., ZHENG Y., SAWAN M., Energy Solutions for Wearable Sensors: A Review”, To appear, MDPI Sensors, Vol. 21, Art. 3806, 2021.

[3] AKBARI M., HONARPARVAR M., SAVARIA Y., SAWAN M., “Power Bound Analysis of a Two-Step MASH Incremental ADC Based on Noise-Shaping SAR ADCs”, IEEE-TCAS-I, Vol. 68, No. 8, 2021, pp. 3133-3146.

[4] HASHEMI-NOSHAHR F., NABAVI M., GOSSELIN B., SAWAN M., Low-cutoff Frequency Reduction in Neural Amplifiers: Analysis and Implementation in CMOS 65 nm“, Frontiers in Neurosciences, Neural Technology section, Vol. 15, Art. 667846, June 2021.

[5] ALI M., ELSAYED A., S., MENDEZ A., SAVARIA, Y., SAWAN, M., "Contact and Remote Breathing Rate Monitoring Techniques: A Review", IEEE Sensors, Vol. 21, No. 13, July 2021.

[6] XIA F., SAWAN M., “Clinical and Research Solutions to Manage Obstructive Sleep Apnea: A Review”, MDPI Sensors, 2021.

[7] XU Y., YANG J., SAWAN M., “Trends and Challenges of Processing Measurements from Wearable Devices Intended for Epileptic Seizure Prediction”, MDPI Sensors, 2021

[8] Champagne P.O., Sanon N., Carmant L., Pouliot P., Bouthillier A., Sawan M., “Feasibility of implantable iron oxide nanoparticles in detecting brain activity- proof of concept in a rat model”, Epilepsy Research, Feb 2021.

[9] MIRFAKHRAEI S., AUDET Y., HASSAN A., ALI M., SAWAN M., A Galvanic Isolated Amplifier based on CMOS Integrated Hall-effect Sensors”, IEEE Transactions on Circuits and Systems I, Vol. 68, No. 4, April 2021, pp. 1388-1397.

[10] HAMMOUD A., NGUYEN DK, SAWAN M., “The development of molecular imprinted PEDOT glassy carbon electrode for Carbamazepine detection”, To appear in Elsevier Bioelectronics and Biosensors, 2021.

[11] BIAN S., RONG G., SAWAN M., “Continuous Drug Monitoring: A Future Tool for Individualized Therapy”, To appear in Journal of Pharmaceutical Analysis, 2021.

[12] CHEN Y., SAWAN M., Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction”, MDPI Sensors, Vol. 21, No. 2, Jan 2021, pp. 460.

[13] MIRBOZORGI A., Maghsoudloo E., BahramI H., SAWAN M., GOSSELIN B., Multi-resonator Arrays for Smart Wireless Power Distribution: Comparison with Experimental Assessment, IET power electronics, Vol. 13, No. 18, Dec 2020, pp. 4183-4193.

[14] YANG, J., SAWAN M., “Towards Smart and Fully Embedded Seizure Prediction Engine: A Review”, IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), Vol. 14, No. 5, 2020, pp. 1932-4545.

[15] NAJARPOUR-FAROUSHANI, A., NEUPANE, S., DE HEREDIA PASTOR, P., PACK, C., SAWAN, M., "Spatial resolution of local field potential signals in macaque V4, IOP Science, Journal of Neural Engineering, Vol. 17, No. 2., 2020, 026003.

[16] TRIGUI A., ALI M., HACHED S., DAVID J.-P., AMMARI, A., SAVARIA, Y., SAWAN, M., "Generic Wireless Power Transfer and Data Communication System Based on a Novel Modulation Technique", IEEE Transactions on Circuits and Systems I, Vol. 67, No. 11, Nov 2020, pp. 3978-3990.

[17] SU Y., BIAN S., SAWAN M., Real-time In Vivo Detection Techniques for Neurotransmitters: A Review”, Analyst Journal, No. 145, 2020, pp. 6193 - 6210.

[18] AZIZIPOUR N., AVAZPOUR R., ROSENZWEIG D., SAWAN M.*, AJJI A.* (2 co-supervisors, equal contributions), “Evolution of biochip technology: A review from lab-on-a-chip to organ-on-a-chip”, Micromachines, Section B: Biology and Biomedicine Journal, Vol.11, No. 6, 2020, pp. 599.

[19] Rong, G., Mendez, A., Bou Assi, E., Zhao, B., Sawan, M.,Artificial Intelligence in Healthcare: Review and Prediction Case Studies”, Elsevier, Engineering, Vol. 6, No. 3, Mar. 2020, pp. 291-301.

[20] TANTIN, A., BOU ASSI, E., van Asselt, E., HacheD, S., SAWAN, M., Predicting Urinary Bladder   Voiding by means of a Linear Discriminant Analysis: Validation in Rats”, Elsevier Biomedical Signal Processing and Control, Vol 55, Jan. 2020, pp. 1016-1067.

[21] MONTAZERI, L., ELZARIF, N., TRENHOLM, S., SAWAN, M., "Optogenetic Stimulation for Restoring Vision to Patients Suffering from Retinal Degenerative Diseases: Current Strategies and Future Directions", IEEE Transactions on Biomedical Circuits and Systems, Vol. 13, No. 6, Dec. 2019, pp.1792-1807.

[22] SAHA, S., SAWAN, M., LESAGE, F., “Wearable SiPM-based NIRS Interface Integrated with Pulsed Laser Source”, IEEE Transactions on Biomedical Circuits and Systems, Vol. 13, No. 6, Dec. 2019, pp.1313-1323.

[23] GAGLIANO, L., BOU ASSI, E., NGUYEN, D.K., SAWAN, M., "Bispectrum and Recurrent Neural Networks: Improved Classification of Interictal and Preictal States”, Scientific Reports, Springer Nature, Vol. 9, No. 15649, 2019.

[24] BOU ASSI, E., RIHANA, S., NGUYEN D.K., SAWAN, M., "Effective Connectivity Analysis of EEG and Accurate Localisation of the Epileptogenic Focus at the Onset of Operculo-Insular Seizures", Epilepsy Research Journal, Vol. 152, 2019, pp. 42-51.

[25] CHAMPAGNE P.O., BOUTHILLIER A., SAWAN M., Colloidal Stability of Superparamagnetic Iron Oxide Nanoparticles in the Central Nervous System: A Review, Nanomedicine Journal, Vol. 13, No. 11, 2019, pp. 1385-1400.

[26] NABOVATI, G., GHAFAR-ZADEH, E., LETOURNEAU, E., SAWAN, M., "Smart Cell Culture Monitoring and Drug Test Platform Using CMOS Capacitive Sensor Array”, IEEE Transactions on Biomedical Engineering, Vol. 66, No. 4, 2019, pp. 1094-1104.


CenBrain is now recruiting research scientists, technical engineers, research assistants, and administrative assistants. For more information, please see:

http://www.wias.org.cn/chinese-detail-373-10068.html

 

CenBrain also welcomes Bachelor or Master students in Electrical Engineering, Biomedical Engineering, and Computer Science to apply for PhD program in School of Engineering of Westlake University. 

 

For joint PhD program with Zhejiang University: 

http://grs.zju.edu.cn/redir.php?catalog_id=17234&object_id=117381

 

 For joint PhD program with Fudan University:

http://www.gsao.fudan.edu.cn/e1/ee/c1659a123374/page.htm