Find Academic Supervisors

• Mechatronics
• Robotics
• Control Systems
• +3 more

Harry Esmonde is an Associate Professor at Dublin City University's School of Mechanical & Manufacturing Engineering. Before joining academia, he gained industry experience in nuclear, aerospace, and engineering adhesive sectors, bringing applied perspectives to his research and teaching. Esmonde's research explores mechatronic systems, robotics applications, smart material integration, and industrial automation solutions. His work includes sensor development, signal processing algorithms, and control systems for manufacturing and healthcare contexts. Collaborative projects involve hospital robotics through the iWARD initiative, developing modular systems for patient monitoring. Recent publications focus on robotic system performance optimization, precision measurement techniques, and ergonomic design applications. Esmonde maintains industry collaborations to translate research into practical engineering solutions for manufacturing automation.

• Control systems
• Mechatronics
• Robotics
• +7 more

Brandon Gordon is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on advanced engineering systems including control systems, mechatronics, robotics, and virtual reality applications. He is affiliated with both Sir George Williams Campus (1455 De Maisonneuve Blvd. W.) and Loyola Campus (7141 Sherbrooke Street W.) in Montreal, Quebec. His research interests span a wide range of technical domains, including distributed computing networks, real-time simulation methodologies, and active flow control technologies. He also specializes in automotive and aerospace control systems, with particular attention to internal combustion engine optimization. No academic awards, supervised students, or specific grants are listed in the provided information. His professional activities are centered at Concordia University's engineering faculty, contributing to both teaching and applied research initiatives.

Aidin DelgoshaeiView profile

Professor

• Digital Project Management
• Agile Methodologies
• Time and Cost Management
• +2 more

Aidin Delgoshaei is Professor of the Practice in Project Management at the University of Kansas. His research integrates digital project management, optimization algorithms, and machine learning to address complex scheduling and supply chain challenges. Dr. Delgoshaei applies innovative methodologies including nature-inspired metaheuristics and fuzzy logic to industrial systems. Research Focus: Current work develops advanced algorithms for robotic trajectory planning, supply chain optimization, and construction management. His frameworks address dual-resource constraints, sustainable supply chains, and market uncertainties through computational intelligence approaches.

• Biological and Artificial Vision
• Human Sensory Augmentation
• Secure Data Analytics
• +3 more

Dr. Noel Murphy is an Associate Professor and Head of the School of Electronic Engineering at Dublin City University (DCU). He has held various leadership roles, including Associate Dean for Education in the Faculty of Engineering and Computing (2005-2007), Head of School (2007-2012, 2015-2018, and returning in 2021). He has been teaching at DCU since 1986 and has contributed extensively to academic governance, including roles on Academic Council and Governing Authority committees. Dr. Murphy holds a BA (Mod) in Theoretical Physics from Trinity College Dublin (TCD), a PhD from DCU (2003) on Information Theory models for Biological and Artificial Vision, and a part-time MA in Pure Mathematics from Maynooth University (2015). His research focuses on: Biological and Artificial Vision: Including Information Theoretic models and the work of Stephen Grossberg. Secure Data Analytics: Particularly leveraging SGX-enabled applications for data ownership control. Algebraic Number Theory: Exploring elliptic curves and Apéry's Constant. IoT and Edge Computing: Focusing on secure processing for IoT applications. Human Sensory Augmentation and Multimedia Information Retrieval. In addition to his teaching and leadership roles, Dr. Murphy has supervised numerous PhD and Master's students to completion. He has secured funding as Principal Investigator or co-Investigator on national and EU-funded research projects. He is affiliated with DCU's Entwine Research Centre. Outside academia, Dr. Murphy is Honorary Secretary of the Irish Light Aviation Society, holds a Private Pilot’s License, and is involved in aircraft restoration projects, including a 1940 Piper J5 and a Vans RV-8.

• Robotics
• Autonomous Vehicles
• Computer Vision
• +9 more

Dr. Asanka Perera is a Lecturer in Mechatronic Engineering at the University of Southern Queensland (UniSQ) within the School of Engineering. He holds a PhD from the University of South Australia (UniSA), an MSc in Industrial Automation from the University of Moratuwa, and a BSc in Electrical and Electronic Engineering from the University of Peradeniya. His research focuses on robotics, autonomous systems, computer vision, and machine learning with applications in drones, adversarial attacks on 3D point clouds, and medical imaging. Notable projects include bio-inspired navigation systems, multi-robot collaboration, and non-contact vital signs monitoring. Dr. Perera has secured grants including AUD 17,546 from the US Department of Air Force for bio-inspired navigation research and AUD 68,645 for heterogeneous robot swarms. He actively supervises PhD students exploring topics like robust 3D object recognition and vision-based localization in low-light conditions. He has taught courses at UNSW Canberra and UniSA, including Robotics & AI labs, autonomous systems design, and control systems. His professional memberships include IEEE, Engineers Australia, and the Australian Computer Society. Dr. Perera is affiliated with UniSQ's Centre for Future Materials and Centre for Astrophysics. His work has been featured in media outlets such as Scientific American and ABC Australia.

Bardia KonhView profile

Associate Professor

• Modeling and Control of Smart Materials
• Medical Instruments
• Surgical Robotics
• +3 more

Associate Professor Bardia Konh at the University of Hawaii at Manoa's Department of Mechanical Engineering focuses on smart materials, surgical robotics, and medical instrument design. He earned his PhD from Temple University in 2016 and has contributed to over 20 peer-reviewed publications. His research integrates finite element analysis, material characterization, and biomedical applications, with notable contributions to active needle design and SMA actuation systems. Awards include the 2013 Best Student Paper Award and 2014 Best Oral Presentation Award. Education: PhD in Mechanical Engineering, Temple University (2016) Research interests center on smart material modeling, medical device innovation, and surgical robotics. His work bridges mechanical engineering with clinical needs, emphasizing translational research for minimally invasive procedures. Recent publications highlight advancements in shape memory alloy (SMA) actuation systems, robust active needle design, and catheter-based medical tools. He has been invited to present at top-tier conferences and contributes to the AMMI Lab for advanced mechatronics and medical innovation. Awards: Best Student Paper Award (2013), Best Oral Presentation (2014), Top Ten Paper Selection (2017)

Zachary TrimbleView profile

Associate Professor

• Autonomous Systems
• Energy Harvesting
• Precision Engineering
• +4 more

Zachary Trimble is an Associate Professor of Mechanical Engineering and Director of the RIP Lab at the University of Hawaii's College of Engineering. He holds a PhD from the Massachusetts Institute of Technology (2010). His research focuses on autonomous systems, energy harvesting, precision engineering, renewable energy, and industrial automation. Trimble leads the RIP Lab, which develops innovative solutions in robotics, energy systems, and advanced manufacturing. He has collaborated on projects ranging from CubeSat ADCS testing to magnetic compression medical devices and autonomous underwater vehicles. His research interests emphasize practical applications of mechanical engineering principles, including vibration energy harvesting systems, additive manufacturing processes, and multidisciplinary project integration. Trimble has presented at major conferences such as the AIAA/USU Small Satellites Conference and the American Geophysical Union Fall Meeting. Key contributions include the design of low-cost manufacturing tools, development of multifunctional nanocomposites via 3D printing, and experimental validation of energy harvesting models. He actively engages in educational initiatives like vertically integrated projects to bridge academic and real-world engineering challenges. Trimble’s work integrates mechanical design, materials science, and automation, addressing both technical and environmental challenges such as marine chemical plume tracking and pumped hydro reverse osmosis systems. His research has been published in journals like Journal of Thermoplastic Composite Materials and International Oil Spill Conference Proceedings.

YangQuan ChenView profile

Professor

• Unmanned Aircraft Systems (UAS)
• Mechatronics
• Renewable Energy Systems
• +7 more

YangQuan Chen is a Professor in the Department of Mechanical Engineering at the University of California, Merced. His research focuses on unmanned aircraft systems, mechatronics, renewable energy systems, cyber-physical systems, and applied fractional calculus. He leads multiple labs, including locations at SE2-273 and 4225 N. Hospital Rd., Atwater, CA. His work integrates advanced control theory, robotics, and digital twin frameworks for applications in environmental monitoring, precision agriculture, and energy systems. Education: PhD (1998) from Nanyang Technological University, Singapore; M.S. (1989) and B.S. (1985) from Chinese institutions. His research emphasizes interdisciplinary approaches, combining fractional calculus with machine learning for real-world challenges like pandemic modeling, UAV-based emission tracking, and smart agriculture. Key research areas include: Unmanned Aircraft Systems (UAS) for environmental and agricultural applications Cyber-physical systems and digital twin frameworks Applied fractional calculus in control systems and epidemiology Machine learning for soil carbon sensing and crop monitoring Recent work explores UAV swarms for methane emission quantification, battery health-aware mission planning, and physics-informed neural networks for state estimation. His lab develops innovative solutions for renewable energy systems, such as adaptive controllers for proton exchange membrane electrolyzers and robust consensus strategies for multi-agent systems. Awards and recognition include prominent citations on Google Scholar and ResearchGate. Ongoing projects involve collaboration with industry and government agencies on smart agriculture, environmental sensing, and energy efficiency.

Antonio LoquercioView profile

Assistant Professor

• Robotics
• Computer Vision
• Artificial Intelligence
• +4 more

Antonio Loquercio is an Assistant Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania's School of Engineering and Applied Science. His research focuses on physical intelligence, emphasizing agile autonomy in robotics, including high-speed drone navigation and perception-action systems using on-board sensing and computation. He holds a PhD from the University of Zurich and completed a postdoc at Berkeley Artificial Intelligence Research (BAIR). Education: Doctoral Degree in Robotics, University of Zurich (2020) Postdoctoral Researcher at BAIR, UC Berkeley (2020–2023) Research Interests: Agile robotics: high-speed flight, autonomous drone racing, and dynamic locomotion Machine learning for sensor fusion, uncertainty estimation, and cross-modal supervision Applications in aerial robotics, legged systems, and biologically inspired control Key Awards: Georges Giralt PhD Award (2022) Cover article in Nature (2023) on vision-based drone racing Multiple best paper nominations and awards at robotics conferences Labs & Recruitment: Founded new lab at Penn in 2023, focusing on autonomous systems and robotics Recruiting students/postdocs interested in agile autonomy and machine learning

Jennifer WangView profile

Professor

• Robots Kinematics and Dynamics
• Computational Methods
• Autonomous Vehicles
• +3 more

Jennifer Wang is a Professor of Mechanical Engineering at The College of New Jersey (TCNJ), specializing in robotics kinematics, computational methods, and autonomous vehicles. She holds a Ph.D. in Mechanical Engineering from Johns Hopkins University (2001), an M.S. in Electrical and Computer Engineering from the same institution (2001), and a B.S. in Mechanical Engineering from Tianjin University (1992). Her research emphasizes interdisciplinary education, particularly integrating robotics with arts and STEM fields. She teaches courses such as Robotics, Mechatronics, and Vibration Analysis. Wang’s work includes NSF-funded projects like “RUI: Giving the Maestro a Human Heart,” exploring robotic conductors in music. Her publications span conferences like IEEE and SIGCSE, focusing on creativity in computer science and robotics applications in arts. She serves on TCNJ committees including the Department Reappointment and Promotion Committee and the Safety Committee. Her lab and teaching activities highlight a commitment to innovation in engineering education and collaborative research. Grants: NSF RUI CreativeIT Grant ($359,477, 2009–2012) NSF Supplemental Funding ($29,802, 2011–2012) Her advising and service contributions include mentoring students through courses and interdisciplinary projects, while her research lab fosters innovation in robotics and autonomous systems.

Gloria MaView profile

Professor

• Mechanical Engineering
• STEM Education
• Engineering Design
• +3 more

Gloria Ma is a Professor of Mechanical Engineering at Wentworth Institute of Technology since 2008, affiliated with the School of Engineering. She specializes in mechanical systems, engineering education, and STEM outreach. Her teaching portfolio includes Senior Design, Mechanical Vibration, and Engineering Graphics courses. Her research focuses on innovative educational experiments, promoting gender equity in STEM through programs like the Girl Scouts STEM Day and female high school outreach initiatives. She actively contributes to conferences such as ASEE and Hawaii International Conference on Education, publishing on pedagogical methods and mechanical systems design. Dr. Ma is a certified USA Swimming official and advocates for women's leadership in technical fields. Her work emphasizes hands-on learning through projects like automated spatial analysis robots and VR engineering experiences, fostering student resilience and technical proficiency.

Jaho SeoView profile

Associate Professor

• Mechatronics
• Autonomous Mobile Machines
• Intelligent Construction Equipment
• +5 more

Dr. Jaho Seo is an Associate Professor in the Department of Automotive and Mechatronics Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. He holds a PhD in Mechanical Engineering from the University of Waterloo and has extensive experience in academia and industry. His research focuses on mechatronics, autonomous systems, intelligent construction/agriculture machinery, and control systems. Education: PhD (Mechanical Engineering), University of Waterloo, 2011 M.Ing (MSc in Mechanical Engineering), École de Technologie Supérieure (Montreal), 2006 BSc (Agricultural Machinery & Process Engineering), Seoul National University, 1999 Research Interests: Dr. Seo specializes in mechatronics, autonomous mobile machines, and intelligent systems. His work emphasizes safety-control mechanisms, electro-hydraulic systems, and hardware-in-the-loop simulation. He has developed algorithms for autonomous excavation, vehicle dynamics, and sensor integration. Professional Activities: Board Member, IT Convergence Technology Division of the Korean Society of Mechanical Engineers (2016–2017) Local Arrangement Co-Chair, 30th Institute of Control, Robotics and Systems Annual Conference (2015) Government R&D evaluator for Korean ministries (2014–2017) Awards: Multiple Best Conference Paper Awards (2014–2016) KIMM Technical Support Award (2015) University of Waterloo Graduate Scholarship (2009–2011) Grants & Labs: He leads the AVeC Lab (Automated Vehicle and Construction Lab). His grants focus on autonomous systems, safety-control, and energy-efficient machinery. He has secured funding for projects related to excavator automation and agricultural machinery. Future Work: Dr. Seo is advancing autonomous construction equipment, real-time safety systems, and sustainable agricultural technologies. His lab collaborates with industry partners to commercialize innovations in electro-hydraulic systems and machine learning.

Meaghan Charest-FinnView profile

Assistant Professor

• Advanced Automation
• Model Predictive Control
• Multi-Physics Process Automation
• +3 more

Dr. Meaghan Charest-Finn is an Assistant Professor in the Department of Automotive and Mechatronics Engineering at Ontario Tech University. She holds a PhD in Mechanical Engineering from the University of New Brunswick (2020) and has extensive academic credentials including a Master's (2013), Bachelor's (2010), and a Diploma (2006) in mechanical engineering disciplines. Her research focuses on advanced automation, Model Predictive Control (MPC) algorithms, and integrating artificial intelligence into industrial processes. She teaches undergraduate courses in Artificial Intelligence and Machine Learning, Mechatronics Design, and Industrial Automation. Her professional contributions include patents on MPC systems and methods (e.g., US Patent 10386796) and active roles in initiatives like the Women in Research Council and Women in Engineering Mentorship. In 2023, she received the Ontario Tech TLC Teaching Award – Student Choice. Charest-Finn’s publications span topics like autonomous systems inspection, PID control optimization, and MPC applications in robotics and manufacturing. Her work bridges theoretical control systems with practical industrial challenges, emphasizing multi-physics automation and AI-driven process improvements.

• Nonlinear Control
• Adaptive Control
• Cyber-Physical-Human Systems
• +6 more

Kaiwen Chen is a Research Associate at the Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London. He holds a B.Sc. from the University of Illinois Urbana-Champaign and a B.Eng. from Harbin Institute of Technology, followed by M.Sc. and Ph.D. degrees from Imperial College London. His research focuses on nonlinear and adaptive control theory, particularly in time-varying systems, multi-agent systems, and applications in cyber-physical-human systems and soft robotics. He is affiliated with the Control and Power Research Group and the Hamlyn Centre for Robotic Surgery, contributing to advancements in medical robotics and resilient control systems. Dr. Chen’s work emphasizes adaptive control methodologies for uncertain systems, including robust designs for cyber-physical networks and surgical manipulators. He serves as an Associate Editor on the Conference Editorial Board of the European Control Association since 2022. His notable achievements include the 2023 IET Control and Automation Doctoral Dissertation Prize and the 2018 Hertha Ayrton Centenary Prize for academic excellence. His research portfolio spans theoretical control advancements and practical implementations, such as hybrid manipulators for gastrointestinal interventions and online data-driven adaptive control strategies. He actively explores interdisciplinary applications, integrating experimental robotics into remote teaching through platforms like quadrotor test-beds. Affiliations : Control and Power Research Group, Hamlyn Centre for Robotic Surgery, Mechatronics in Medicine Lab Editorial Role : Conference Editorial Board, European Control Association Key Contributions : Cyber-physical security, resilient control architectures, soft robotic systems

• Control Systems
• Smart Grids
• Power Electronics
• +8 more

Thomas Parisini is a Professor and Chair in Industrial Control at Imperial College London's Faculty of Engineering, leading the Control and Power Research Group. He also holds the Danieli Endowed Chair of Automation Engineering at the University of Trieste. With a Laurea (Cum Laude) from the University of Genoa (1988) and a Ph.D. in Electronic Engineering and Computer Science (1993), he has extensive experience in academia and research leadership, including roles as Deputy Rector at the University of Trieste (2009-2012) and President of the IEEE Control Systems Society (2021-2022). His research focuses on control systems for large-scale critical infrastructures, including smart grids, transportation networks, and industrial process control. Notable contributions include over 400 publications and prestigious awards like the 2018 Honorary Doctorate from Aalborg University and the 2007 IEEE Distinguished Member Award. He has secured major grants, including the H2020 Flagship Teaming Project KIOS (€40M). Parisini has held editorial roles for top journals such as the European Journal of Control and the IEEE Transactions on Control Systems Technology , and chaired major conferences like the 2022 European Control Conference. He is a Fellow of both the IEEE and IFAC, reflecting his impactful contributions to control systems and engineering education.