Meatronics Professors and Supervisors

Jordan ViceView profile

Research Fellow

The University of Western AustraliaAustralia

Jordan Vice is a Research Fellow at The University of Western Australia's School of Physics, Maths and Computing, specializing in Computer Science and Software Engineering. They hold a Ph.D. in Mechatronic Engineering from Curtin University (2023) and a 1st Class Honours degree in the same field (2020). Their research focuses on AI transparency, fairness, security, and reliability, with expertise in generative models, explainable AI, and robotics. Education: Ph.D. in Mechatronic Engineering (2020-2023), Curtin University, Thesis: Accountable, Explainable Artificial Intelligence Incorporation Framework for a Real-Time Affective State Assessment Module Bachelor of Mechatronic Engineering (2015-2019), Curtin University, Thesis: Bi-modal Affect-Based Authentication Machines Research Interests: AI ethics, generative models, cybersecurity in AI systems, facial expression analysis, and AI applications in healthcare. They advocate for transparent and accountable AI deployment while addressing security and privacy challenges. Recent work explores bias quantification in text-to-image models and backdoor attacks in generative systems. Key Trends in Publications: Focus on adversarial machine learning, generative model vulnerabilities, and ethical AI frameworks. Notable contributions include frameworks for real-time affect assessment and methodologies to quantify bias in text-to-image systems. Awards: Chancellor's Commendation (2023) Proxima Consulting Prize (2020) RTP Scholarship (2019) Advising & Grants: No explicitly listed advisees or grants, though their work suggests involvement in collaborative research projects. Labs/Teams: Affiliated with the School of Computer Science and Software Engineering at UWA, contributing to interdisciplinary AI research groups.

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Ana Maria AcostaView profile

Professor

Northwestern UniversityUnited States

Ana Maria Acosta is a Professor in the Department of Physical Therapy and Human Movement Sciences at Northwestern University. Her research focuses on post-stroke motor impairments, robotics in rehabilitation, and biomechanics of movement disorders. Education: BS in Electrical and Biomedical Engineering, Universidad de los Andes (1993) MS, Case Western Reserve University (1996) PhD, Case Western Reserve University (2002) Research Interests: Characterizing motor control mechanisms after stroke, developing portable robotic rehabilitation devices, and studying neural engineering applications for movement recovery. Recent Publications Trends: Focus on mechatronic stroke assessments, limb loading symmetry in athletes, neck muscle biomechanics, and robotic quantification of stretch reflexes. Scientific Awards: Daniel Linzer Award for Faculty Excellence in Diversity and Equity (2021) NRMN Fellow (2016) Professional Memberships: American Society of Biomechanics (2024–Present), IEEE Women in Engineering (2002–Present), Society for Neuroscience (2002–Present), IEEE Engineering in Medicine and Biology Society (1997–Present).

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Tuomas Valtteri SalomaaView profile

Lecturer

Tampere UniversityFinland

Tuomas Valtteri Salomaa is a University Lecturer specializing in Automation Technology and Mechanical Engineering at Tampere University of Technology. His work focuses on robotics systems, autonomous underwater vehicles, and mechatronics design. Education: Master of Science (Technology) in Automation Engineering (June 2017) and Bachelor of Science (Technology) in Automation Engineering (Jan 2016), both from Tampere University of Technology. Research Interests: Developing propulsion systems for autonomous underwater vehicles, mechanical subsystem integration, functional hierarchy in robotics, and underwater robot architecture. His work emphasizes practical applications in marine inspection and autonomous systems. From 2016–2019, his research outputs explored propulsion efficiency, structural analysis of underwater robots, and functional design methodologies. He contributed to the UX-1 underwater vehicle project, focusing on mechatronics and mechanical design. Organized workshops: Fifth Workshop on Digital Fluid Power (2012). Active in international conferences like ICSTCC and IROS. Lab involvement: Part of teams developing autonomous underwater exploration systems and mechatronics solutions.

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Junmin WangView profile

Professor

University of Texas at AustinUnited States

Junmin Wang is a Professor and the Fletcher Stuckey Pratt Chair in Engineering at the University of Texas at Austin's Mechanical Engineering Department. He previously served at Ohio State University, where he was promoted to full professor at an early stage. His research focuses on control systems, AI, and dynamical systems applications in automotive, robotics, and mobility. He holds multiple fellowships (SAE, ASME, IEEE) and awards like the NSF CAREER and ONR-YIP. Education: B.E. (Automotive Engineering) and M.S. (Power Machinery) from Tsinghua University (1997-2000); M.S. (Electrical Engineering and Mechanical Engineering) from University of Minnesota (2003); Ph.D. (Mechanical Engineering) from UT Austin (2007). Research Interests: Robotics, autonomous systems, vehicle control, energy systems, AI-driven modeling, and human-automation interaction. His 405+ peer-reviewed publications span adaptive control, battery management, and autonomous vehicle technologies. He directs the Mobility Systems Lab (MSL), which addresses efficiency, safety, and sustainability in transportation. Awards: ASME Draper Award, SAE Vincent Bendix Award, IEEE Fellow. Grants: Funded by NSF, ONR, DOE, industry partners (GM, Ford). Labs/Teams: Mobility Systems Lab focuses on real-world mobility challenges through interdisciplinary research.

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Emre SariyildizView profile

Senior Lecturer

University of WollongongAustralia

Dr. Emre Sariyildiz is a Senior Lecturer at the School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong. He holds dual Ph.D.s from Keio University (Japan) and Istanbul Technical University (Turkey), and completed postdoctoral research at the National University of Singapore. His research focuses on robotics, mechatronics, and control theory, emphasizing applications in rehabilitation, agricultural automation, and advanced motion control systems. Education: Ph.D. in Integrated Design Engineering, Keio University (2011–2014) Ph.D. in Control and Automation Engineering, Istanbul Technical University (2010–2016) Postdoctoral Training in Biomedical Engineering and SINAPSE, National University of Singapore (2014–2017) Research Interests: Robotics: Kinematics, Dynamics, Rehabilitation, and Agricultural Robotics Control Theory: Robust Control, Disturbance Observer Design, and Sensorless Systems Meatronics: Precision Motion Control, Adaptive Systems, and Soft Robotics Recent Research Themes: His articles highlight advancements in disturbance observer-based control systems, soft robotic actuators, and agricultural robotics. Key trends include energy-efficient actuator design, haptic feedback systems, and robust motion control algorithms for industrial and medical applications. Grants & Supervision: Lead investigator on grants for wool harvesting robotics, Industry 4.0 teleoperation, and assistive devices Current supervision includes projects on robotic hands, quadruped robots, and agricultural harvesting algorithms Labs/Teams: Active in robotic prosthetics, mechatronic systems, and collaborative robotics research groups at the University of Wollongong.

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Andaç Töre ŞamiloğluView profile

Lecturer

Baskent UniversityTurkey

Dr. Andaç Töre Şamiloğlu is a Lecturer in the Artificial Intelligence Engineering Program at Baskent University. Holding a PhD in Mechanical Engineering (2012) and dual Master's degrees in Economics (2007) and Mechanical Engineering (2005) from Middle East Technical University, he specializes in applying AI to complex engineering systems. PhD: Mechanical Engineering, Middle East Technical University (2012) Master's: Economics (2007) and Mechanical Engineering (2005), Middle East Technical University BSc: Mechanical Engineering, Middle East Technical University (2003) His research focuses on Deep Learning Applications in Control Systems , Structural Health Monitoring , and Defense Systems . Recent work includes modeling parachute cargo systems using AI and optimizing friction welding processes. With a career spanning over 15 years, he has contributed to 15 projects, holds an H-index of 38, and teaches courses like System Dynamics and Control , Mechatronics Fundamentals , and Autonomous Systems in Defense Industry . His practical experience includes co-founding ANSAMECH Engineering Machinery Consulting Software Industry and Trade Co. Ltd. Current research trends emphasize AI-driven engineering solutions, particularly in Aerospace Systems , Automotive Design , and Human-Robot Interaction . Publications highlight his interdisciplinary work across Mechatronics , Robotics , and Industrial Engineering . He supervises R&D projects in the university's Fablab and contributes to educational innovation through hands-on engineering training programs.

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Pedro AntunesView profile

Research Fellow

University of HuddersfieldUnited Kingdom

Pedro Antunes is a Principal Research Fellow at the Institute of Railway Research (IRR) within the University of Huddersfield's School of Computing and Engineering. His work focuses on advancing railway dynamics, particularly pantograph-catenary interaction and vehicle-track dynamics. He holds MSc and PhD degrees in Mechanical Engineering from Instituto Superior Técnico (University of Lisbon), where his PhD research on co-simulation methods earned the Lagrange Award. Research Interests: Dynamic analysis of pantograph-catenary systems Vehicle-track interaction modeling Hardware-in-the-loop testing Rail electrification systems Multibody dynamics and co-simulation techniques Recent Work Trends: Over 15 years, his publications emphasize innovative numerical methods for railway electrification challenges. Recent studies (2022–2025) highlight advancements in mechatronic pantograph design, aerodynamic load modeling, and virtual prototyping tools. His work bridges computational mechanics with industry needs, addressing safety, efficiency, and sustainability in rail operations. Key Awards: Lagrange Award (PhD Thesis) Advising & Collaboration: Actively supervising PhD candidates and collaborating on EU/industry projects. Supports railway industries through consulting and R&D, particularly in electrification project analysis. Labs/Teams: Core member of IRR, leading dynamic simulation and co-simulation initiatives. Engages in international conferences, including the 28th IAVSD Symposium and Peloton Electrification webinars.

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Jose Machado Dos SantosView profile

Research Fellow

University of HuddersfieldUnited Kingdom

Jose Machado Dos Santos is an Industrial Fellow at the Institute of Railway Research (IRR) within the University of Huddersfield's School of Computing and Engineering. He holds a BEng in Mechanical Engineering from Instituto Superior Técnico (University of Lisbon) and an MSc in Systems Engineering from the same institution, with an Erasmus semester at Technical University of Munich. His PhD focuses on "Development of Methodologies for Pantograph-Catenary Testing, Modelling and Real-Time Dynamic Analysis." Affiliations: IRR, Department of Engineering Key Projects: Validation of LABRADOR, POB-iBB Intelligent Blended Braking, High-Speed Pantograph Rig Research interests include computational modeling of railway vehicles, traction/braking systems, low adhesion dynamics, and HIL systems. His work contributes to UN Sustainable Development Goals related to infrastructure and innovation. Recent publications (2022–2024) focus on pantograph-catenary dynamics, HIL testing, and electrification challenges. He has presented at international conferences such as IAVSD and Civil-Comp.

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