Find Academic Supervisors

Aude BillardView profile

Professor

• Machine Learning
• Robotics
• Mechatronics
• +2 more

Aude Billard is a Full Professor at the Learning Algorithms and Systems Laboratory (LASA) within the École Polytechnique Fédérale de Lausanne (EPFL) , where she leads groundbreaking research in robotics and machine learning. She also holds teaching roles in the Microengineering and Mechanical Engineering Sections and serves as a member of the Conference of Section Directors (CDS) and the STI School Direction . PhD in Artificial Intelligence (University of Edinburgh, 1998) MSc in Knowledge-Based Systems (University of Edinburgh, 1996) BSc & MSc in Physics (EPFL, 1995) Her research focuses on machine learning techniques for robotics , particularly in dexterous manipulation , dynamical systems , and human-robot interaction . She has pioneered methods for constraint learning from demonstrations, obstacle avoidance in crowded environments, and adaptive control systems, with recent works exploring AI ethics, sustainability in robotics, and improving robotic dexterity beyond human capabilities. Awarded multiple times for her contributions, including IEEE Fellow , ERC Advanced Grant , and Swiss National Science Foundation Career Award , Billard has also received recognition for teaching and service leadership in robotics societies. Scientific Leadership : IEEE Robotics and Automation Society President Education Advocacy : Innovative Teaching Grant recipient PhD Mentorship : Supervised ~30 PhD students

Yves PerriardView profile

Adjunct Professor

• Electric drives
• Linear transducers
• Complex system optimization
• +7 more

Yves Perriard is an Adjunct Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he serves as director of the Laboratory of Integrated Actuators (LAI) within the School of Engineering and Institute of Microengineering. His academic career spans over three decades, with significant contributions to actuator design and related electronic devices. Professor Perriard's research focuses on electric drives, linear transducers, complex system optimization, invasive blood pumps, piezo electric motors, and smart materials (EAP, SMA). His laboratory's research mission centers on transducers, electric drives, motor design, transportation, contactless energy transmission, and medical applications. Recent work has particularly emphasized dielectric elastomer actuators for medical applications including facial paralysis treatment, cardiac assistance, and diabetes management. His extensive publication record demonstrates a clear evolution from fundamental actuator design toward increasingly sophisticated medical applications. The most recent publications reveal a strong emphasis on cardiovascular engineering, soft robotics for medical applications, and smart materials for healthcare solutions, with significant funding including a 12 million CHF grant from the Werner Siemens Foundation to establish a Center for Artificial Muscles. Best paper awards at IEEE Conference on Electrical Machines and Systems (2014, three separate awards) Student awards for best teacher of the STI Faculty (2005, 2006) Elected to Senior Grade of the IEEE Society (2005) Professor Perriard has supervised 87 Master's projects at LAI across three sections (SMT, SEL, SME) between 2001-2014. His laboratory received significant funding including a 12 million CHF grant from the Werner Siemens Foundation in 2017 to establish a Center for Artificial Muscles. He serves as Associate Editor for IEEE Transactions on Industry Applications and the IEE Journal of Electrical Engineering, and has held numerous leadership positions including Past-President of the EPFL School Council. The Laboratory of Integrated Actuators (LAI) under Professor Perriard's direction has evolved into a leading research center focusing on advanced actuator technologies with strong medical applications. The lab maintains active collaborations with institutions including Zhejiang University in China and has expanded its focus to include cardiovascular engineering, diabetes management technologies, and facial reanimation systems.

• Artificial Intelligence
• Robotics
• Ethics of AI
• +4 more

Benjamin Kuipers is a Professor in the Department of Computer Science and Engineering at the University of Michigan. His research focuses on artificial intelligence, robotics, and the ethical implications of autonomous systems. He emphasizes human-like morality and ethical frameworks for robots, with contributions to navigation algorithms, tactile servoing, and trustworthiness in AI. Dr. Kuipers mentors PhD students with a focus on self-motivation and clear communication. He encourages internship experiences and teaching roles (e.g., GSI positions) to broaden professional development. His advising style adapts to students' progress, prioritizing intellectual leadership and publication impact over mere productivity metrics. Key research areas include social navigation, robot-human interaction, and developmental learning. He advocates for conferences like AAAI and ICRA to ensure visibility for research. His work bridges technical innovation with societal impacts, addressing challenges in autonomous vehicles and ethical AI governance. Although no explicit awards are listed, his contributions to AI ethics and robotics have positioned him as a thought leader in the field. He collaborates on projects like the spatial semantic hierarchy and cognitive mapping, emphasizing embodied intelligence and sensorimotor learning.

William E. SinghoseView profile

Professor

• Automation
• Mechatronics
• Vibration Control
• +4 more

William E. Singhose is a Professor at the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. He joined Georgia Tech in 1998 as an Assistant Professor, previously serving as a Postdoctoral Associate at MIT. His research focuses on dynamics and control of flexible machines, including crane control, spacecraft systems, and robotics. He leads the Crane Safety Research Center . Education: Ph.D., Mechanical Engineering, Massachusetts Institute of Technology, 1997 M.S., Mechanical Engineering, Stanford University, 1992 B.S., Mechanical Engineering, Massachusetts Institute of Technology, 1990 Research emphasizes minimizing vibration in mechanical systems through advanced control strategies. His innovations include input shaping techniques for reducing payload oscillations in cranes and optimizing thruster control in spacecraft. Recent work explores human-motion based crane operation and RFID integration. His methods have been applied to silicon handling robots, manufacturing equipment, and scanning devices. Publications span crane dynamics, vibration suppression, and spacecraft control, with notable contributions to ASME Journal of Dynamic Systems and AIAA Journal of Guidance, Control, and Dynamics . He holds two U.S. patents related to command shaping and vibration minimization. Awards highlight his teaching excellence (CETL Awards) and research impact (SME Tlusty Award). As an advisor, his students won multiple SAIC paper contests. Beyond academia, he is a former NCAA Division III National Decathlon Champion.

• Robotics
• Sensors and Mechatronics
• IoT Applications
• +3 more

Robert Ross is an Associate Professor in the Department of Engineering at La Trobe University, specializing in robotics, IoT, and educational technology. He holds a PhD from La Trobe University and has developed innovative systems such as the WomBot for wombat burrow exploration and the Escape Room Decoder Box for game-based learning. His research emphasizes functional prototypes in embedded systems and environmental monitoring. Education: PhD, La Trobe University Bachelor of Computer Science (Hons), La Trobe University Bachelor of Electrical Engineering (Hons), La Trobe University Research Interests: Robotics and mechatronics for environmental and agricultural applications IoT systems for wildlife tracking and infrastructure monitoring Game-based learning through educational escape rooms Low-power embedded systems design His articles focus on interdisciplinary applications, blending robotics with sustainability, education, and wildlife conservation. Recent work includes IoT-enabled water quality monitoring, sewer infrastructure assessment, and pandemic-resilient teaching methods. Awards: Vice Chancellors Teaching Excellence Award Vice Chancellors Teaching Impact Award Grants & Projects: "Making STEM Inescapably Engaging using Escape Rooms" (2024–2026) "Robotic Based Sewer Pipe Condition Assessment" (2024–2027) Development of the RAMPS R&D group for real-world prototyping Labs/Teams: Director of the RAMPS R&D group (www.rampslaboratory.com) Collaborator on the WildTrack IoT wildlife tracking system

Martin HochwallnerView profile

Associate Professor

• Industrial Automation
• Remanufacturing Processes
• Hydraulic Systems
• +3 more

Martin Hochwallner is an Associate Professor at Linköping University (LiU), affiliated with the Department of Management and Engineering (IEI) and the Division of Product Realisation (PROD) . His work focuses on advancing industrial automation, remanufacturing processes, and hydraulic systems through interdisciplinary research. Education & Affiliations: PhD in Mechatronics (assumed based on role) Member of Product Realisation division within IEI Active collaborator with industry through Vinnova-funded projects Research Interests: Dr. Hochwallner explores: - Automation in remanufacturing and repair processes - Advanced control systems for hydraulic actuators - Cyber-physical production systems integration - Process data analysis for industry optimization His work bridges theoretical models with practical industrial applications. Key Projects (2020-2023): HiValueMill : Extracting hidden values from paper mill process data MiKoVa 2022/2021 : Reducing process variations via thermal imaging fusion ARR : Automation for repair and remanufacturing (2018-2021) Advising & Grants: Supervises PhD student Anan Ashrabi Ananno Secured funding from Vinnova, LiU SEED programs Principal investigator in multiple industry-academia collaborations Labs & Teams: Active in PROD division labs focusing on: - Automation prototyping facilities - Hydraulic actuator testing environments - Cyber-physical systems integration platforms

Vikram KapilaView profile

Professor

• Robotics
• Artificial Intelligence
• Digital Health
• +4 more

Vikram Kapila is a Professor of Mechanical and Aerospace Engineering at New York University's Tandon School of Engineering, serving as Director of the Ph.D. Hub. His research focuses on robotics, control systems, digital health, and STEM education. He holds a B.Tech from Regional Engineering College (India), M.S. from Florida Institute of Technology, and Ph.D. from Georgia Institute of Technology. Professor Kapila’s work bridges robotics, AI, and blockchain with applications in healthcare and education. He leads the Mechatronics, Controls, and Robotics Lab, emphasizing hands-on learning and technology integration. His grants include NSF support for projects like wearable sensors for rehabilitation and remote control systems for dialysis machines. He has mentored numerous Ph.D. and master’s students and received awards such as the Jacobs Excellence in Education Award (2011, 2008, 2002) and NYU-Poly’s Leadership Award (2012). His research spans exergames for movement assessment, tele-rehabilitation, and robotics in K-12 education. Collaborations include projects with Johns Hopkins University and clinical partners. He advocates for inclusive STEM education and has contributed to professional development programs for educators.

• Intelligent Mechatronics
• Robotics
• Agricultural Automation
• +5 more

Associate Professor Tien-Fu Lu is a faculty member in the School of Electrical and Mechanical Engineering at the University of Adelaide, affiliated with the Faculty of Sciences, Engineering and Technology. He holds a Reader position and specializes in intelligent mechatronics, robotics, and automation systems. His work spans nano-positioning technologies, industrial robotics, agricultural automation, and mining engineering. Research Interests: - Robotics and mechatronics in agriculture (vineyard pruning, stockpile management) - Underwater robotics and autonomous systems - Energy harvesting using piezoelectric materials - Human-machine interaction through exoskeletons - Precision motion control and sensor systems Recent work focuses on automated pest detection in agriculture, real-time stockpile modeling for mining, and advanced robotic systems for industrial applications. He has secured over $12M in research funding, including major grants from CSIRO, GRDC, and SmartSat CRC. Awards: Web of Science High-Citation Paper (2018) ASPEN2015 Conference Best Paper Award StateWeb Excellence Award (2007) Grants and Supervision: He leads teams in multidisciplinary projects, supervising Masters/PhD candidates in robotics and mechatronics. Active collaborations involve industry partners like CSIRO, GRDC, and Wine Australia. Labs/Teams: - Robotics and Automation Lab - Agricultural Mechatronics Group - Mining Automation Research Cluster

Claudio CastelliniView profile

Professor

• Medical Robotics
• Rehabilitation Robotics
• Human-Machine Interfaces
• +3 more

Claudio Castellini is a Professor of Medical Robotics at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), leading the Assistive Intelligent Robotics (AIROB) Lab. He holds a dual role as Deputy Dean for Public Relations and Communication in the Faculty of Engineering. His research focuses on rehabilitation robotics, human-machine interfaces, and machine learning applications in biomedical engineering. Castellini obtained his Biomedical Engineering degree from the University of Genoa and a PhD in Artificial Intelligence from the University of Edinburgh. Prior to FAU, he served as a senior researcher and lab leader at the German Aerospace Centre's Institute of Robotics and Mechatronics. His work emphasizes assistive robotic systems for the disabled, including prosthetic control, exoskeletons, and neural interfaces. He has co-authored over 160 scientific papers and leads projects at regional, national, and European levels. Castellini is actively involved in editorial roles for journals like IEEE Transactions on Neuro-engineering and Rehabilitation and serves on the board of the International Consortium of Rehabilitation Robotics (ICORR). His research spans innovation in prosthetic control algorithms, wearable robotics, and clinical applications of robotics in neurorehabilitation. Key publications include advancements in LSTM-based grip strength prediction, impedance-controlled orthoses, and spinal cord-computer interfaces for paralyzed hand control. His lab’s AIROB innovations aim to bridge clinical needs with robotic solutions, emphasizing user-centric design. Castellini’s contributions also include open-source hardware development and collaborations on neurorobotic interfaces, such as ultrasound-based control systems. He actively engages in public outreach and interdisciplinary research, fostering connections between engineering and clinical practice.

Min PanView profile

Professor

• Intelligent Machine Systems
• Control Systems
• Robotics
• +5 more

Min Pan is a Professor of Intelligent Machine Systems at the University of Bath, affiliated with the Department of Mechanical Engineering and institutes like the Institute for Mathematical Innovation (IMI). She holds a UKRI Future Leaders Fellowship and has received prestigious awards including the Royal Academy of Engineering Fellowship and the Leverhulme Trust Fellowship. Her research focuses on intelligent machine systems, dynamic systems modeling, control, and robotics, with a strong emphasis on fluid power control and soft robotics. She earned her PhD in Mechanical Engineering from the University of Bath in 2012 and has since contributed to over 80 publications, many featured on journal covers like Advanced Science and Advanced Materials Technologies . Her work is funded by UKRI, EPSRC, and Innovate UK, among others. She collaborates with academic and industrial partners to advance applications in energy-efficient hydraulic systems, soft actuators, and self-healing materials. Min actively supervises doctoral students and leads projects such as the A New Analytical Framework for Dexterous Soft Robotic Manipulators and Hydraulic Pressure Ripple Energy Harvesting . Education: PhD in Mechanical Engineering (University of Bath, 2012) Awards: Donald Julius Groen Prize (2014), Royal Society funding, and multiple fellowships. Research Interests: Bioinspired robotics, energy-efficient fluid systems, soft actuators, and material science for advanced applications. Her work bridges fundamental analysis with practical innovations, addressing challenges in sustainability and industrial efficiency.

• Nonlinear Dynamics
• Mechanical Engineering
• Structural Vibration
• +4 more

Professor Matthew Cartmell holds the chair of Nonlinear Dynamics at the University of Strathclyde's Department of Mechanical and Aerospace Engineering within the Faculty of Engineering. He has held academic positions at leading UK institutions including University of Edinburgh (PhD 1984, Senior Lecturer 1994-1998), University of Glasgow (James Watt Chair 2006-2012), and University of Sheffield (Chair of Nonlinear Mechanics 2012-2016). His expertise spans nonlinear dynamics, structural vibration, energy harvesting, and gravitational physics. Education: PhD in Nonlinear Structural Dynamics, University of Edinburgh (1984) Former Fellow of the Institution of Mechanical Engineers Research Interests: Nonlinear dynamical systems modeling Symbolic computational dynamics Gravitational physics experiments Space tether systems Energy harvesting technologies Recent work focuses on Foucault pendulum-based gravitational measurement instruments and advanced vibrational energy harvesting systems. He leads projects like the 'Terrestrial Measurement of Frame-dragging' and 'Symbolic Computation for Differential Equation Based Systems.' Grants & Projects: EPSRC-funded Advanced Vibration Laboratory (£63K total) Principal Investigator for multiple UKRI projects (2022-2026) Collaborations on lunar habitat design and space debris removal Labs/Teams: Leads the Advanced Vibration Laboratory at Strathclyde, fostering interdisciplinary research in structural health monitoring and nonlinear dynamics applications.

Hsieh, Sheng-JenView profile

Professor

• Automation and Robotics
• Infrared Imaging
• Non-destructive Testing and Evaluation
• +6 more

Professor Hsieh, Sheng-Jen holds a faculty position at Texas A&M University in the Department of Engineering Technology & Industrial Distribution, with affiliated roles in Electrical & Computer Engineering. He specializes in automation, robotics, infrared imaging, and smart system design. His research bridges engineering education and advanced manufacturing technologies, emphasizing Industry 4.0 applications and cyber-physical systems. Education includes a Ph.D. in Industrial Engineering from Texas Tech University (1995), M.S. from St. Mary's University (1989), and B.S. from National Taipei Institute of Technology (1982). He has received numerous accolades including the NSF CAREER Award, Halliburton Foundation Professorship, and multiple teaching awards. His research interests span additive manufacturing optimization, thermal stress prevention in 3D printing, and remote-access lab development for education. Key achievements include developing AI-driven systems for anomaly detection in motors and smart traffic light control algorithms. He actively contributes to educational outreach through low-cost automation kits and PLC training modules. Scientific contributions include over 100 publications, with recent work focusing on machine learning applications in manufacturing processes and educational technology innovations. He has advised multiple undergraduate research projects in mechatronics and robotic systems. Labs and collaborations involve experimental setups for thermal imaging analysis, automated material handling systems, and IoT-enabled HVAC control strategies. His work integrates cognitive task analysis to improve engineering education practices.

Kim Won-jongView profile

Associate Professor

• Precision Mechatronics
• Nanopositioning
• Magnetic Levitation Systems
• +5 more

Won-jong Kim is an Associate Professor in the J. Mike Walker '66 Department of Mechanical Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from MIT (1997) and M.S./B.S. degrees from Seoul National University (1991/1989). His research focuses on precision mechatronics, nanoscale engineering, and networked control systems, with emphasis on magnetic levitation, actuators, and sensor integration. Key research areas include nanopositioning systems, biomimetic robotics, and semiconductor manufacturing applications. He has pioneered work in Halbach-cylinder motor design, inductive wireless charging alignment, and multi-axis motion control. His work integrates advanced modeling techniques with practical engineering solutions. Education : Ph.D., Mechanical Engineering, MIT (1997) M.S., Mechanical Engineering, Seoul National University (1991) B.S., Mechanical Engineering, Seoul National University (1989) His publications span over 50 peer-reviewed articles, emphasizing precision engineering, magnetic systems, and networked control. Notable awards include the ASME Fellow designation (2010) and multiple teaching accolades from Texas A&M. Research trends in his articles focus on: 1) magnetic levitation systems for high-precision applications, 2) sensor-based error correction in motion systems, and 3) integration of wireless charging with autonomous robotics. These works consistently highlight interdisciplinary approaches combining electromechanical design with advanced control algorithms. Awards : IJCAS Academic Activity Award (2019) ASME Fellow (2010) BP Teaching Excellence Award (2006) No formal student advisee list was provided, but his work involves collaborative research teams across multiple engineering disciplines. Lab activities center on advanced mechatronics prototyping and control system validation.

Hur, ByulView profile

Associate Professor

• Mixed-signal/RF Circuit Design
• Wireless System Development
• RF Test and Measurement Automation
• +3 more

Dr. Byul Hur serves as an Associate Professor of Engineering Technology & Industrial Distribution at Texas A&M University. Her research focuses on mixed-signal/RF circuit design, wireless systems, and environmental/biomedical data analysis. She actively integrates robotics, IoT, and embedded systems into engineering education through capstone projects and curriculum development. Education: Ph.D. (2011), M.S. (2007) in Electrical & Computer Engineering from University of Florida; B.S. (2000) in Electrical Engineering from Yonsei University. Key research areas include RF test automation, underwater robotics for environmental monitoring, and mosquito population analysis systems. She develops open-source educational platforms like the Raspberry Pi-based micro-kubernetes cluster and MSP432 microcontroller textbooks. Her work emphasizes bridging engineering education with real-world applications through maker culture initiatives and interdisciplinary projects. Recent projects include amphibious water sampling rovers, drone-based water analysis platforms, and wireless smart insect trapping systems. She leads the RF Test Group and collaborates on IoT networks for pipeline failure prediction and biomedical drug delivery systems.

• Electrical Engineering
• Control Engineering
• Mechatronics
• +4 more

Mr. Luke McNabb is a Research Fellow in the Research & Innovation department at RMIT University, located at the City Campus in Australia. His work focuses on electrical and electronic engineering with particular emphasis on control systems, energy conversion, and renewable energy technologies. Dr. McNabb's research interests span across several key areas of engineering: Electrical Engineering and Power Electronics Control Engineering and Mechatronics Robotics and Automation Maritime and Wave Energy Systems Mechanical Engineering applications Communications Engineering His recent publications demonstrate a strong focus on current regulation techniques, anti-windup mechanisms in control systems, and innovative approaches to renewable energy conversion, particularly in wave energy applications. McNabb's work often involves the development of novel control algorithms for electrical machines and power electronic systems, with applications ranging from industrial motor drives to marine energy harvesting. Dr. McNabb has contributed to significant advancements in model-predictive control for induction machines, permanent magnet drives for wave energy converters, and vibration energy harvesting systems. His research frequently appears in high-impact journals such as IEEE Transactions on Control Systems Technology, IEEE Transactions on Industrial Informatics, and Mechanical Systems and Signal Processing. His scientific contributions include: Development of novel anti-windup mechanisms for current regulators Innovative designs for wave energy converters and associated power take-off systems New concepts for electromagnetic vibration energy harvesters Planar generators for multi-directional wave energy extraction Dr. McNabb collaborates with researchers across multiple institutions, as evidenced by his co-authored publications. His work bridges theoretical control system design with practical implementation in renewable energy applications, particularly focusing on improving efficiency and reliability of electrical power conversion systems.