Biography: Dr. Peyman Setoodeh received his B.Sc. and M.Sc. degrees (Hons.) in electrical engineering from Shiraz University, and his Ph.D. in computational engineering and science from McMaster University. He was the Harrison McCain visiting professor with the Marine Additive Manufacturing Centre of Excellence (MAMCE), University of New Brunswick, and an associate professor with the School of Electrical and Computer Engineering, Shiraz University. Previously, he was a senior research engineer with Huawei Noah’s Ark Lab, and a lecturer with the Department of Electrical and Computer Engineering, McMaster University. Dr. Setoodeh was the recipient of the Monbukagakusho Scholarship from the Ministry of Education, Culture, Sports, Science, and Technology in Japan. He has coauthored two books: “Fundamentals of Cognitive Radio” and “Nonlinear Filters: Theory and Applications”. He is a coauthor of a paper on “Cognitive Control”, which was featured as the cover story of the Proceedings of the IEEE in the December issue of the centennial year. Dr. Setoodeh is a senior member of the IEEE.
Research Interests: Artificial Intelligence, Deep learning and deep reinforcement learning, Cognitive systems (integration of perception, memory, attention, learning, planning and action), Industry 4.0 (cyber-physical systems, IoT, Ios, smart factory), battery management sytsems, nonlinear estimation.
Biography: Dr. Ahmed holds a doctorate degree in Mechanical Engineering, with a focus on Mechatronics and Battery Management Systems from McMaster University. He received a Master’s degree in Mechanical Engineering from McMaster, with a 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
Biography: Elliott recently completed his Ph.D. degree at McMaster University, Canada. He received his B.Eng. degree from Wuhan University of Technology, China in 2011, and his M.A.Sc. degree in Mechanical Engineering from Beijing Institute of Technology, China in 2014. Later he worked on the hybrid electric project as a vehicle control engineer in Ford Motor Research and Engineering (Nanjing) Company for three years. In 2017, he started his Ph.D. in Canada at CMHT exploring intelligent systems with machine learning and with applications such as self-driving vehicles and software defect diagnosis. Elliot is continuing with CMHT as a Postdoctoral Fellow.
Research Interests: Machine learning, neural networks, autonomous driving, object detection and tracking, system log analysis, fault detection and diagnosis, and hybrid electric vehicle systems
Biography: Salman received his B.Eng in Electrical Engineering from McMaster University in 2019. During his undergraduate studies, he worked as a research engineer for a 1 year internship (May 2018 to April 2019) with the Department of National Defense in Ottawa, ON. Salman joined the Centre for Mechatronics and Hybrid Technologies in January 2020 as a Masters student. His research is focused on vehicle/driver behaviour and trajectory prediction for autonomous driving using estimation and target-tracking techniques.
Research Interests: Signal processing, state and parameter estimation, target-tracking, control systems, self-driving cars, sensor fusion and machine learning.
Biography: Brian received his B.Eng in Mechanical Engineering at McMaster University in 2020. He then decided to deepen his knowledge by pursuing a M.A.Sc degree at mcMaster under the supervision of Dr. Habibi. Brian joined CMHT in September 2020 and is part of the Autonomous team. His research is focused on the application of stereo vision for 3D object detection.
Research Interests: Autonomous driving, computer vision, machine learning, deep learning.
Biography: Farzaneh holds a B.Sc. from Tabriz University in Electrical Engineering (2015) and a M.A.Sc. in Control Engineering from Shahid Beheshti University (2019). She is currently a Ph.D. student with the department of Mechanical Engineering at McMaster University since May 2022. Farzaneh joined CMHT as part of the battery group working specializing in Battery Mangaement Systems.
Research Interests: Electric and Hybrid Technologies, Battery Mangement Systems, Battery Modeling, State and Parameter Estimation, Control Theory.
Biography: Hosna is a Ph.D. candidate at McMaster University. She received her B.Sc. from Amirkabir University of Technology in Mechanical Engineering in 2015 and her M.A.Sc. in the same field from the Sharif University of Technology in 2018. In October 2019, Hosna joined the Centre for Mechatronics and Hybrid Technologies as a graduate research assistant and started her PhD in September 2020. She works on Fault Detection and Diagnosis (FDD) of ICEs and Power Electronics at McMaster Automotive Resource Centre (MARC).
Research Interests: Signal Processing, Fault Detection, Diagnosis and Prognosis, Multivariate Statistical Process Control, Machine Learning, Deep Learning, Artificial Intelligence Algorithms.
Biography: Ehsan received his B.Sc. in Electrical Engineering, Power Systems from Iran University of Science and Technology in 2013. He pursued his M.Sc. study in the field of Control Engineering at Sharif University of Technology and graduated in 2015. Afterwards, he started his career as Electrical Engineer in Industry. In 2021, he began his second Master’s degree in the Department of Mechanical Engineering at McMaster University. He is currently a Ph.D. student in this department and works on Fault Detection in Electric Machines.
Research Interests: Fault Detection, Electric Machines, Control Systems
Biography: Lesley received her B.Eng. degree in Mechatronics Engineering from McMaster University, Canada in 2020. She joined the Fault Diagnostics group at CMHT after graduation and is currently working towards her Doctoral degree in Software Engineering under the supervision of Dr. Habibi and Dr. Mohrenschildt. Her research focuses on data acquisition technology and data processing.
Research Interests: Signal Processing, Electronics Systems, Machine Learning, Fault Detection and Diagnosis SystemsClose
Biography: Wenlin obtained her B.Eng. in Mechanical Engineering from McMaster University in 2021. She is currently working towards a Ph.D. in Mechanical Engineering at CMHT. Her research focuses on utilizing the electrochemical impedance spectroscopy (EIS) characterization on battery cells and modules to develop robust state estimation and fault detection techniques.
Research Interests: electrochemical impedance spectroscopy, battery management system, state estimation, fault detection
Biography: Joe holds a B.Eng degree in Mechanical Engineering from Sichuan University, China and an M.A.Sc degree in Aerospace Engineering from Carleton University, Canada. He started his Ph.D. at CMHT in 2022. His research focuses on Fault Detection and Diagnosis with applications in electric motors.
Research Interests: AI, Machine Learning, electric motors, fault detection and diagnosisClose
Biography: Mahmoud joined CMHT in September 2022 as part of the battery group under the supervision of Dr. Habibi. His undergraduate research experience is in heat transfer enhancement and heat exchanger technologies. Mahmoud’s research focuses on building and designing battery packs for lithium-ion batteries in EVs, with an emphasis on thermal management utilizing innovative cooling methodologies. Mahmoud is the Engineering Manager for the Battery Workforce Challenge team competition. BWC is a three-year engineering competition that challenges North American universities to design, build, test and integrate an advanced EV battery pack into a Stellantis vehicle.
Research Interests: EV Battery pack design, thermal management, two-phase cooling, battery management systems, battery modelling and characterization, and battery testing and integration
Biography: Reza is a CMHT member who received a Bachelor of Bio-electronics Engineering from Azad University of Esfahan in 2020. He was awarded as the first academic student in his cohort of the Faculty of Computer and Electrical Engineering in both 2019 and 2020. He has a strong interest and expertise in microprocessor, embedded system, battery management systems, control theory, and estimation theory. He is currently a member of the battery group of CMHT at McMaster University, where he is gaining valuable research experience in the area of battery management systems and battery characterization. His academic achievements demonstrate his potential to make significant contributions in the field of engineering.
Research Interests: microprocessor, embedded system, battery management systems, control theory, and estimation theory
Biography: Christian holds a B.Eng (Hons) degree in Mechanical Engineering from Coventry University in the United Kingdom. He has over 3 years of industry experience on High Horse Power Diesel and Natural Gas engines manufactured by Cummins and Jenbacher respectively. He joined the Centre of Mechatronics and Hybrid Technologies (CMHT) in September 2022 and is working on his M.A.Sc degree under the supervision of Dr. Habibi. His Masters research focuses on Fault Detection and Diagnostics of internal combustion engines.
Research Interests: Fault Detection, Fault Diagnosis and Fault Prognosis, Internal Combustion Engines, Hybrid/Electric Powertrains, Artificial Intelligence Algorithms, Machine Learning, Signal Processing
Biography: Linnea received her B.Tech in Automotive Engineering from McMaster University in 2021. She joined CMHT as part of the Autonomous team in May 2022. Linnea is a M.A.Sc student under the supervision of Dr. Habibi. Her research focuses on the application of radar and vision systems for object detection and scenario identification.
Research Interests: Computer vision, sensor fusion, machine learning, deep learning algorithms, target-tracking, autonomous driving
Biography: Adrian received his B.Eng degree in Mechatronics Engineering from McMaster University in 2022. He joined the Autonomous group at CMHT after graduation and is currently working towards his Master’s degree in Software Engineering under the supervision of Dr. Habibi and Dr. Von Mohrenschildt. His research focuses on real-time implementations of object detection and tracking using sensor fusion.
Research Interests: sensor fusion, object detection and tracking, computer vision, machine learning
Biography: Jonathan received his B.Tech degree in Automotive and Vehicle Technology at McMaster University in 2020. He joined the Centre for Mechatronics and Hybrid Technologies (CMHT) the following year to pursue a Masters of Applied Science degree in mechanical Engineering under the supervision of Dr. Saeid Habibi. His research is based in Fault Detection and Diagnostics where he utilises artificial intelligence and machine learning to analyze signals produced by electric motors to determine potential issues within the system
Research Interests: Fault Detection and Diagnostics, AI, Machine Learning, Deep Learning Models, Hybrid and Electric Powertrains, Signal Processing
Ahsan Saeedzadeh, Ph.D. (2024), Thesis Title: Dynamic Model-Based Estimation Strategies for Fault Diagnosis
Ash (Chang) Liu, Ph.D. (2024), Thesis Title: Vehicle Perception System Based on Heterogeneous Neural Network Sensor Fusion
Ruiwen Chen, M.A.Sc. (2022), Thesis Title: Battery Pack Design of Cylindrical Lithium-Ion Cells and Modelling of Prismatic Lithium-Ion Battery Based on Characterization Tests
Ahmed Salem, Ph.D. (2022), Thesis Title: On the Topology and Control of Six-Phase Current-Source Inverter (CSI) for the Powertrain of Heavy-Duty EVs
Sara Rahimifard, Ph.D. (2022), Thesis Title: Advanced State Estimation for Electric Vehicle Batteries
Yixin Huangfu, Ph.D. (2022), Thesis Title: Log Data Analysis for Software Diagnosis: The Machine Learning Theories and Applications
Marvin Messing, Ph.D. (2021), Thesis Title: Advanced Characterization of Battery Cell Dynamics
Yujie Hu, M.A.Sc. (2021), Thesis Title: Camera Based Deep Learning Algorithms with Transfer Learning in Object Perception
Jiahong Dong, M.A.Sc. (2021), Thesis Title: Machine Learning and Deep Learning Algorithms in Thermal Imagining Vehicle Perception Systems
Essam Seddik, Ph.D. (2021), Thesis Title: Advanced Pre-processing Techniques for Cloud-based Degradation Detection using Artificial Intelligence (AI)
Doyi Joo, M.A.Sc (2020), Thesis Title:Feature Extraction and Machine Learning Classifier Development for Fault Detection and Diagnosis
Abdel Rahman Tawakol, M.A.Sc (2020), Thesis Title: Performance Characterization and Modelling of a Lithium-Ion Cell using Electrochemical Impedance Spectroscopy
Rioch Dlyma, M.A.Sc (2020), Thesis Title: A Software Development Framework for Complete Battery Characterization: Testing, Modelling & Parameterization
Christina Riczu, M.A.Sc (2020), Thesis Title: Modeling and Implementation of a Hardware Efficient Low-Voltage-to-Cell Battery Balancing Circuit for Electric Vehicle Range Extension
Mehdi Sadeghkazemi, M. A. Sc. (2019), Thesis Title: Evaluation of Spark Plug Technologies in Spark Ignition Engines by Pareto Front Optimization
Benjamin Miethig, M.A.Sc. (2019), Thesis Title: Convolutional Neural Network Detection and Classification System Using an Infrared Camera and Image Detection Uncertainty Estimation
Ahmed Doghri, M.A.Sc. (2019), Thesis Title: A Real Time Fault Detection and Diagnosis System for Automotive Applications
Mahmoud Ismail, Ph.D. (2018), Thesis Title: Practical Deep Learning Algorithms Using Estimation Theory
Zhongzhen Luo, Ph.D. (2017), Thesis Title: LiDAR Based Perception System: Pioneer Technology for Safety Driving
Min Xu, M.A.Sc. (2017), Thesis Title: Hybrid Electric Vehicle Powertrain Laboratory
Sean Hodgins, M.A.Sc. (2017), Thesis Title: A Wireless Sensor for Fault Detection and Diagnosis of Internal Combustion Engines
Mohammed Farag, Ph.D. (2017), Thesis Title: Thermal-Electrochemical Modeling and State of Charge Estimation for Lithium-Ion Batteries in Real-Time Applications
Essam Seddik, M.A.Sc. (2016), Thesis Title: Fault Detection and Identification of Vehicle Starters and Alternators Using Machine Learning Techniques
Mohammad 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
Seyyed Reza Haqshenas, 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: Characterization 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