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The following is a list of our research members (past and present). Included you will find a brief biography, and a corresponding description of their research and areas of interest.


Saeid Habibi, Ph.D., P.Eng.

Biography: Saeid is currently a Professor in the Department of Mechanical Engineering at McMaster University, Canada. Before joining McMaster in 2006, he was an Associate Professor at the University of Saskatchewan.

He obtained his Ph.D. in Control Engineering from the University of Cambridge, U.K. His academic background includes research into intelligent control, state and parameter estimation, fault diagnosis and prediction, variable structure systems, automotive tracking and control, and fluid power. The application areas for his research have included aerospace, automotive, robotics, and actuation systems. He spent a number of years in industry as a Project Manager and Senior Consultant for Cambridge Control Ltd, U.K., and as Senior Manager of Systems Engineering for AlliedSignal Aerospace Canada.  He received two corporate awards for his contributions to the AlliedSignal Systems Engineering Process in 1996 and 1997. He was the recipient of the Institution of Electrical Engineers (IEE) F.C. Williams best paper award in 1992 for his contribution to variable structure systems theory. He was also awarded an NSERC Canada International Postdoctoral Fellowship that he held at the University of Toronto from 1993 to 1995, and more recently a Boeing Visiting Scholar sponsorship for 2005.

Saeid is on the Editorial Board of the Transactions of the Canadian Society of Mechanical Engineers and a member of IEEE, ASME, and the ASME Fluid Power Systems Division Executive Committee.

Research Interests: Hybrid technology research, state and parameter estimation, fault detection and diagnosis, variable structure systems theory, intelligent and multivariate control, actuation systems, design optimization, and fluid power and hydraulics.

Industry Liaison

Cam Fisher, Industry Liaison

Biography: Cam is currently the Industry Liaison at McMaster University. Cam joined the Green Auto Powertrain project in 2010 after 21 years in industry as a supplier of advanced powertrain test technologies at Horiba Automotive Test Systems (formally Schenck, formally Interautomation). Cam has a B.Sc. in Physics from McMaster University.

Research Team

Ryan Ahmed, Postdoctoral Fellow

Biography: Dr. Ryan holds a doctorate degree in Mechanical Engineering, with focus on Mechatronics and Battery Management Systems from McMaster University. He received a Master’s degree in Mechanical Engineering from McMaster, with specialization in artificial intelligence and engine fault detection. Dr. Ryan has taught several courses on management and control of electric vehicles at McMaster University and at the educational EV/HEV boot camp at the IEEE Transportation Electrification Conference and Expo (iTEC 2015) in MI, USA. He is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE).

Research Interests: Hybrid technology, battery modeling and condition monitoring, state and parameter estimation, fault detection and diagnosis, artificial intelligence, variable structure systems theory, intelligent and multivariate control, actuation systems, optimization, and fluid power and hydraulics

Hamed Afshari, Postdoctoral Fellow

Biography: Hamed received his Ph.D. degree in Mechanical Engineering from McMaster University in 2014. His PhD research focused on design and development of robust state estimation methods with applications to fault detection and diagnosis of actuation systems. During his PhD, he received a number of awards and scholarships including the Ontario Graduate Scholarship, McMaster Prestige Award, and International Excellent Award. Since 2014, he has been a postdoctoral fellow at the Centre for Mechatronics and Hybrid Technology at McMaster University. His research involves modeling, parameter identification, as well as state of charge and state of health estimation of batteries for hybrid electric vehicles.

Research Interests: Control and dynamic systems, state estimation, mechatronics, battery management systems, and fault detection and diagnosis

Mina Attari, Postdoctoral Fellow

Biography: Mina obtained her doctorate degree in Mechanical Engineering with focus on automotive tracking systems from McMaster University in 2016. She graduated in 2008 from the Electrical Engineering Department of Sharif University of Technology, Tehran with a Master’s degree in Electrical Engineering, Control. She recived her B.Sc. degree in Electrical Engineering from Tabriz University, Tabriz in 2006. In her PhD at McMaster University, she researched on the development of new methods to deal with measurement origin uncertainty in car tracking systems.

Research Interests: State and parameter estimation, variable structure theory, self-driving car, automotive tracking, data analysis, and machine learning.

Zhongzhen Luo, Ph.D. Candidate

Biography: Zhongzhen received his B.Eng. degree in Electrical and Computing Engineering from McMaster University, Hamilton, Ontario, Canada in 2012. He was also working as full time software engineer for over 16 months at ATS automation, Ontario, Canada. He is currently working toward his Ph.D. degree in Software Engineering at McMaster Automotive Resources Center. His current main research include real time implementation for self-driving vehicle, LiDAR point cloud data processing, Information fusion from multiple sensors system and algorithms design.

Thesis Title: Pioneer Technology for Safety Driving

Research Interests: Engineering optimization, image processing, intelligent systems, water distribution systems, optimal control, and neural networks.

Mohammed Farag, Ph.D. Candidate

Biography: Mohammed Farag is currently a part-time Ph.D. Student at McMaster University, Hamilton, ON, Canada and a full-time principle research engineer at BMW AG (Munich, Germany) on behalf of McMaster University, Canada. He received his B.Sc. Degree (high honors) from Ain Shams University, Cairo, Egypt and M.A.Sc. Degree from McMaster University, Hamilton, Canada, in 2008, and 2013, respectively, all in Mechatronics Engineering.

Mohammed won the best paper award in the IEEE Transportation Electrification Conference and Expo (ITEC 2012) for his publication on battery management systems (BMS). He is the holder of 4 patents in the field of battery modeling, thermal management, the state of charge and state of health estimation, and fault diagnostics. He also won the Ontario Centers of Excellence (OCE) TalentEdge program funding for his research on battery management systems. .

Thesis Title: Lithium-ion batteries: Mathematical modeling, thermal modeling , SOC and SOH estimation for electrical vehicles applications*

*Not final: subject to future changes

Research Interests: Hybrid and electrical vehicles technologies, battery thermal management, battery modeling and simulation, battery condition monitoring, state and parameter estimation, control systems, intelligent and multivariate control, fault detection and diagnosis, artificial intelligence, variable structure systems theory, optimization, and mechatronics with applications in the automotive industry and batteries

David Bazak, Ph.D. Student

Biography: David obtained his honours B.Sc. in chemical physics from Trent University in 2011, and used Monte Carlo simulation to study thermally fluctuating magnetic stripes in high-temperature superconductors, for both his thesis project and as an NSERC USRA position. He then proceeded to study theoretical condensed matter physics at McMaster University, performing self-consistent field calculations on spatially modulated high temperature superconductors and earning his M.Sc. in 2013. His interests shifted towards sustainability and renewable energy, and he began his PhD research in 2015 at McMaster, co-supervised by Profs. Gillian Goward and Saeid Habibi.

Thesis Title: NMR Investigations of Li-Ion Battery Electrochemical Models

Research Interests: Electrochemical modelling, NMR imaging, pulsed-field gradient NMR, diffusion in porous media, concentrated solution theory, model parameterization, and condensed matter

Mahmoud Ismail, Ph.D. Student

Biography: Mahmoud obtained his BSc in Mechanical Engineering from Ain-Shams University, Egypt in 2010. He worked in academia as a TA and RA in Ain-Shams University, Egypt from 2010 to 2011. Mahmoud moved to industry to work for Procter & Gamble from 2011 to 2013. Afterward he joined CMHT to complete his MSc in Mechanical Engineering from 2013 to 2015 at McMaster University, Canada. Currently he works full time as a research engineer at D&V Electronics and doing his part time PhD which he started in 2015.

Thesis Title: Fault Detection and Diagnosis of Electromechanical Machines

Research Interests: Fault detection and diagnosis systems, signal processing, artificial intelligence algorithms, control theory, and mechatronics systems

Essam Seddik, Ph.D. Student

Biography: Essam obtained his bachelor degree in Mechatronics Engineering in 2010 from the Arab Academy for Sciences and Technology and Maritime Transport (AASTMT University), Egypt. He got his Masters of Applied Sciences degree in Mechatronics Engineering (automotive applications) from AASTMT University in 2013. He joined CMHT team at McMaster Automotive Resource Center (MARC) in 2014, and earned a M.A.Sc. in Machine Learning with an application to mechanical engineering from McMaster University, Canada, in 2016. Currently, He is working as a research engineer and PhD student in CMHT.

Thesis Title: Fault Detection and Identification of Vehicle Starters and Alternators using Deep Learning Techniques

Research Interests: Machine learning, deep learning, fault detection and identification, and camless engines and mechatronics with automotive applications

Sean Hodgins, M.A.Sc. Student

Biography: Sean Hodgins obtained his B.Tech (McMaster University, 2014) specializing in Automotive and Vehicle Technology. Over a period of that time he worked at Honda R&D in Raymond, Ohio designing CAD models as part of a co-op placement for two individual terms(8 Months and 4 Months). Immediately after completing the undergraduate program, Sean joined the CMHT team as an M.A.Sc student in Mechanical Engineering.

Thesis Title: Designing, Manufacturing, and Programming a Wireless Sensor for Fault Detection and Diagnosis of Mechanical Systems

Research Interests: Robotics, artificial neural networks, cognitive machines, electrical and mechanical system design, developing alternate teaching methods and tools, as well as a combination of any interests listed

Rioch D'lyma, M.A.Sc. Student

Biography: Rioch D’lyma obtained his Bachelor of Technology in Automotive & Vehicle Technology at McMaster University in 2015. He worked as a co-op student for 2 placements, for a total of a year, at D&V Electronics. He joined the CMHT team as a Masters student and Research Assistant in 2015. Rioch is also perusing his P.Eng and is currently an Engineering Intern (EIT)

Thesis Title: Battery Model Parameterization using Multi-Object Optimization

Research Interests: Battery modeling, optimization, neural networks, and internet of things

Nicholas D'Aquila, M.A.Sc. Student

Biography: Nicholas obtained his BSc in Mechatronic Engineering from McMaster University, Canada in 2016. He currently works as a research engineer for CMHT in collaboration with D&V Electronics.

Thesis Title: On Fault Detection and Diagnosis of Battery Systems

Research Interests: Battery modeling, and fault detection and diagnosis

Min Xu, M.A.Sc. Student

Biography: Min obtained his BSc in Mechanical Engineering from Wuhan University, China in 2009. He worked as a mechanical engineer in China General Nuclear Power Company, Shenzhen from 2009 to 2015. He joined CMHT team in 2016 as a Master student in McMaster University from 2015.

Thesis Title: Hybrid powertrain lab design

Research Interests: Hybrid electric vehicles, and hybrid powertrain system and components

Former Graduate Students

Essam Seddik, M.A.Sc. (2016), Thesis Title: Fault Detection and Identification of Vehicle Starters and Alternators Using Machine Learning Technqiues

Atta Zeiaee, M.A.Sc. (2016), Thesis Title: An Intelligent Cell-Level Battery/Ultracapacitor Hybrid

Mina Attari, Ph.D. (2016), Thesis Title: SVSF (Smooth Variable Structure Filter) Estimation for Target Tracking with Measurement Origin Uncertainty

Ali Delbari, M.A.Sc. (2016), Thesis Title: Design and Implementation of a Lithium-ion Cell Tester Capable of Obtaining High Frequency Characteristics

Yifei Feng, M.A.Sc. (2016), Thesis Title: Fault Detection and Diagnosis of an Internal Combustion Engine

Xiang Hu, M.A.Sc. (2015), Thesis Title : Electro-Hydrostatic Actuator (EHA) Position Tracking and Correction

Mahmoud Ismail, M.A.Sc. (2015), Thesis Title : Industrial Extended Multi-Scale Principle Components Analysis for Fault Detection and Diagnosis of Car Alternators and Starters

Ryan Ahmed, Ph.D. (2014), Thesis Title: Modeling and State of Charge Estimation of Electric Vehicle Batteries

Hamed Afshari, Ph.D. (2014), Thesis Title: The 2nd-Order Smooth Variable Structure Filter (2nd-SVSF) for State Estimation: Theory and Applications

Mohammed Farag, M.A.Sc. (2013), Thesis Title: Lithium-Ion Batteries: Modelling and State of Charge Estimation

Reza Haghshenas, M.A.Sc. (2013), Thesis Title : Multiresolution-Multivariable Analysis of Vibration Signals; Applications in Fault Diagnosis of Internal Combustion Engines

Dhafar Al-Ani, Ph.D. (2012), Thesis Title: Energy Optimization Strategy for System-Operational Problems

Yu Song, M.A.Sc. (2012), Thesis Title : Electro-hydrostatic Actuator Fault Detection and Diagnosis

Mohammed El-Sayed, Ph.D. (2012), Thesis Title : Multiple Inner-Loop Control of an Electro-Hydrostatic Actuator

Wanlin Zhang, M.A.Sc. (2012), Thesis Title : A Fault Detection and Diagnosis Strategy for Permanent Magnet Brushless DC Motor

Shenjin Zhu, M.A.Sc. (2011), Thesis Title: Modeling, System Identification and Control of A Belt Drive System

Andrew Gadsden, Ph.D. (2011), Thesis Title: Smooth Variable Structure Filtering: Theory and Application

Jeffrey Sylvester, M.A.Sc. (2011), Thesis Title: Charaterization and Modeling of Rubbing Friction in a Motored Four-Cylinder Internal Combustion Engine

Kevin McCullough, M.A.Sc. (2011), Thesis Title: Design and Characterization of a Dual Electro-Hydrostatic Actuator

Mohammad Al-Shabi, Ph.D. (2011), Thesis Title: The General Toeplitz/Observability Smooth Variable Structure Filter

Ryan Ahmed, M.A.Sc. (2011), Thesis Title: Training of Neural Networks Using the Smooth Variable Structure Filter with Application to Fault Detection


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