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Jaho Seo

Associate Professor

Lab Director

 Jaho Seo was with the Department of Mechanical and Mechatronics Engineering of the University of Waterloo as a Postdoctoral Fellow in 2011, the Department of System Reliability of the Korea Institute of Machinery & Materials (KIMM) as a senior researcher for 2012-2016, and the Department of Biosystems Machinery Engineering of Chungnam National University, Korea as an Assistant Professor for 2016-2017.

Since 2017, he has been an Assistant (~23. 06) and Associate (23. 07~) Professor at the Department of Automotive and Mechatronics Engineering, Ontario Tech University where he has been involved in research on the development of autonomous control systems for intelligent mobile machines, and electro-hydraulic systems.

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Tyler Parsons 

Research Associate

KIMM and KEIT Projects

Tyler Parsons has graduated with a Bachelor's Degree in Mechanical Engineering from Ontario Tech University in 2021, and has completed his MASc under the supervision of Dr. Jaho Seo in Apr of 2023.  Currently, he is working as a Research Associate.
Within the span of his undergraduate degree, he successfully completed a 16 month internship with a robotics vision solutions company, Bluewrist Inc. During this internship, he worked as a mechanical designer on many different automated systems, including an automated 3-layer surgical mask making machine. In addition to this, he also worked as an Application Engineer working with company software at numerous off-site locations to properly integrate inspection systems. He has been involved in optimizing routes of waste collection and street sweeping.

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Fattah Hanafi

PhD Student

KIMM and KEIT Project

Fattah Hanafi obtained his M.Sc. in Mechanical Engineering from the Ferdowsi University of Mashhad in 2013. From 2011 to 2019, he was a member of FUM Robotics Lab, working on different aspects of industrial robots such as Kinematics, Dynamics, Simulation, Trajectory Generation, etc. In the last four years, he played a leading role in developing and producing a family of industrial-grade robots like FUM-6R-20, FUM-SCARA-II, FUM-Delta, and FUM-Stewart-M450 Robot.

He has started his Ph.D. in Mechanical Engineering at Ontario Tech University under the supervision of Dr. Jaho Seo from May 2021. His research topic is the development of advanced control and adaptive safety algorithms for autonomous construction equipment.

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Kin Ching Lee

MASc Student

Hyundai Motors Project

Kin Ching Lee completed his bachelor’s degree in Mechanical Engineering from the City University of Hong Kong in 2020. He was in a robotic team from 2017 to 2020 during his undergraduate education. Within the team, he had been the key designer to develop methodologies and build robots to fulfill multi-designed tasks for competition.

After his undegraded study, he worked in a magnetic sensing semi-conductor company. His job is to enhance the performance of product testing machines with computer vision and robotic arm implementation. 

He has started his MASc in Mechanical Engineering under Prof. Jaho Seo’s supervision from Sep 2022. His research is about simulating the redundant braking system in electrical vehicles.

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Farhad Baghyari

MASc Student

KITECH Project

Farhad Baghyari completed his bachelor’s degree in Mechanical Engineering from the Ferdowsi University of Mashhad in 2017. From early 2015 to late 2019, he was a member of FUM Robotics Lab. He has been involved in mechanical design and calculation, part selection, construction, assembly, testing, and leading several industrial-level projects. Before that, from 2013 to 2015, he was a member of FUM Formula student race car team.  
He started his M.Sc. in Mechanical Engineering at Ontario Tech University under the supervision of Dr. Jaho Seo in Sep 2022. He is involved in optimizing routes of snowplowing.

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Younggu Cho

Visiting Scholar

Hyundai Motors Company

Cho Young-gu graduated from Korea University in 2003 and has been working at the Hyundai Motor Technology Research Institute since 2004. He developed simulation techniques and system level test methods for brake performance and noise. The latest developments include the VILS (Vehicle In the Loop Simulation) and machine learning methods for brake squeal noise.
He is currently developing the brake reduduncy simulation technique at Ontario Tech University in Canada as a Grobal R&D Expert for Hyundai Motor.

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Youngjun Park

Visiting Scholar

Seoul National University

Dr. Youngjun Park obtained his Ph.D. in Agricultural Machinery Engineering from Seoul National University, Republic of Korea in 2006. From 2006 to 2017, he worked at the Department of System Reliability of the Korea Institute of Machinery & Materials (KIMM) as a senior/principal researcher. Since 2017, he has been an Assistant/Associate Professor (http://oredlab.snu.ac.kr) at the Department of Biosystems Engineering, Seoul National University. His research topics are the development of gearbox design/analysis software (GDP, gear design program), driving control algorithm of electrical tractors noise reduction technology of tractor cabin, and soil-machine (tire & crawler) interaction technique.

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Fergal Tirandazi

MASc Student

NSERC Project

Fergal graduated with a Bachelors of Engineering from OntarioTech University in the field of Mechatronics Engineering. During his undergraduate studies, Fergal completed a 16 month internship with Honda of Canada Mfg. working on supplier process maturation for the introduction of the 2023 CRV Petrol and Hybrid models. Aside from this he was also a member of the HV department of the university's FSAE team. For his capstone Fergal worked under the guidance of Dr.Seo on a project focusing on the teleoperation of an excavator using the motions of a human arm as an input. In his masters, Fergal aims to continue working under Dr.Seo's supervision on an autonomous drone platform with an excavator arm attachment with hopes of achieving autonomous airborne excavation. 

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Abdullah Rasul

Research Associate

KITECH Project

Abdullah Rasul holds a Master's degree in Mechanical (Mechatronics) Engineering. During his masters, he worked on developing algorithms for perception of autonomous construction vehicles to address the safety and excavation progress aspects. He also worked as a Robotics Test Engineer at AIS where he tested navigation and perception algorithms for Autonomous Mobile Robots, and this helped him gaining valuable experience in developing new algorithms for robotic simulation. He is currently a Research Associate working under the supervision of Dr. Jaho Seo, where he focuses on developing path planning algorithms for Autonomous Vehicles in urban applications. His research interest lies in the introduction of robotics for construction and agriculture to address safety, labor shortage, and increase efficiency with human-robot collaboration.

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Nicholas Varas

MASc Student

Homegrown Innovation Challenge Project

Nicholas Varas completed his bachelor’s degree in Mechatronics Engineering from Ontario Tech University in 2023, where he also worked for Engineering Outreach as a Senior Program Instructor throughout the course of his studies. In addition, he also co-founded and currently leads the two Ontario Tech Robotics teams, Robot in 3 Days (Ri3D) and RoboMaster, as well as his own company Moduleaf, which was co-founded through Brillant Catalyst with fellow graduates Mitchell Vella and Andrew Champ. Having completed a 16-month internship at Honda of Canada Mfg. in their CRV paint department, he is very experienced in robotics, automation, and artificial intelligence. For his research, Nicholas will be working on autonomous indoor farming technologies under the supervision of Dr. Seo.

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Mitchell Vella

MASc Student

KEIT Project

Mitchell Vella graduated from Ontario Tech University with a degree in Mechatronics Engineering. He gained experience during his 18-month internship at Honda of Canada Mfg., where he designed and maintained equipment for the assembly of the 2023 Civic. Mitchell's passion for robotics led him to participate in the Ri3D robotics team at OntarioTech as a mechanical Co-lead. For Mitchell's capstone, he worked under Dr. Seo to develop autonomous vertical farming solutions. He also co-founded Moduleaf through Brilliant Catalyst with his fellow graduates Nicholas Varas and Andy Champ working on further development of these technologies. For his research, Mitchell will be working on the development of an autonomous excavator under the supervision of Dr. Seo.

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Reza Noorbakhsh

PhD Student

KEIT Project

Reza Noorbakhsh has obtained his Master's degree in the field of Artificial Intelligence and Robotics from Ferdowsi University of Mashhad. He was actively engaged in the FUM Robotics Lab from 2014 to 2017, focusing on industrial robots including 6R-20, FUM-SCARA-II, FUM-Delta, and FUM-Stewart-M450 Robot. During the years 2017 to 2019, he continued his work at the Sun and Air Research Institute of Mashhad University, concentrating on a new generation of industrial Pick&Place robots. From 2019 to 2023, he has been involved in the intelligent automation and neural network domain within the field of operating room settings. His responsibility includes designing neural networks to create navigational maps for autonomous construction equipment in the area.

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Cole Levere

MASc Student

Homegrown Innovation Challenge Project

Cole graduated from Ontario Tech University with a bachelor's in Mechatronics Engineering in 2023. During this time, he completed a 16-month internship at Veoneer Canada INC where he was part of the new product and process introduction team. He worked on implementing and improving various ECU products on assembly lines. For his capstone project, Cole worked under the supervision of Dr. Jaho Seo to develop an autonomous weed removal robot. His focus was on developing the machine vision component of the system. This project placed 2nd in the University's Annual Capstone Exhibition. Cole is also currently developing electrical and control systems for municipal vehicles at MacLean Engineering. For his master's, Cole will continue to work under Dr. Jaho Seo to develop autonomous farming solutions.

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