Find Academic Supervisors

Roger GonzalezView profile

Professor

• Engineering Education
• Musculobiomechanics
• Computational Biomechanics
• +3 more

Dr. Roger Gonzalez is a Professor and Department Chair of Engineering Education Leadership at The University of Texas at El Paso (UTEP). His research focuses on musculobiomechanics, computational biomechanics, and low-cost prosthetic device development for underserved populations. He leads initiatives in engineering education innovation, including curriculum development and leadership training programs. Dr. Gonzalez has pioneered affordable prosthetic technologies such as the LEGS M1 knee system, emphasizing accessibility in developing nations. His academic contributions span interdisciplinary collaboration, including work with LIMBS International to advance global healthcare solutions. Awards include the TIAA Difference Maker Award for his community-focused efforts. Gonzalez has secured funding through NSF grants (DUE-0963648, HRD-1242122) and co-launched the UTEP-TTUHSC El Paso Innovation and Commercialization Fund. His teaching emphasizes leadership in engineering innovation and entrepreneurship, integrating real-world problem-solving with academic rigor. Research highlights include machine-learning applications in prosthetic control systems, additive manufacturing advancements for medical devices, and biomechanical studies of human movement. His work bridges engineering education with clinical applications, fostering both academic and societal impact through collaborative, student-centered projects.

Diana HinteaView profile

Professor

• Higher Education Internationalisation
• Data Science
• Applied Machine Learning
• +4 more

Dr. Diana Hintea is the Deputy Head of the School of Computing and Digital Technologies at Sheffield Hallam University. She leads research, innovation, and international partnerships, managing TNE portfolios and educational collaborations across 14 countries. Her work focuses on higher education internationalisation, data science, and AI-driven automotive solutions. Previously, she held roles at Coventry University, leading global TNE initiatives and COIL projects. She holds a patent in AI for automotive industry applications and is a strong advocate for women in STEM. Educations: BEng Hons PgCert PgDip PhD Research Interests: Combines academic leadership with technical expertise in machine learning, digital forensics, and international education strategies. Specializes in thermal comfort control systems for vehicles, cybersecurity in operating systems, and collaborative international learning frameworks. Her work bridges academia and industry, emphasizing practical applications of AI and pedagogical innovation. Publications Overview: Her research spans machine learning applications, automotive systems, and digital forensics. Key themes include reinforcement learning for HVAC control, forensic analysis of modern OS, and robotics in education. Recent work explores malware detection in mobile environments. Awards: Patent in AI for Automotive Industry Senior Fellow of the Higher Education Academy (SFHEA) Advising & Leadership: Manages staffing, enterprise, and estates in her current role. Previously led global partnerships at Coventry University. Serves as external examiner for UK universities and contributes to quality assurance initiatives. Labs/Teams: Affiliated with the Industry and Innovation Research Institute, focusing on applied tech solutions and industry collaboration.

Alan HollowayView profile

Professor

• Embedded/microprocessor Systems
• Robotics/Control Systems
• Sensors for machine olfaction (electronic-nose)
• +3 more

Dr Alan Holloway is Deputy Head of the School of Engineering & Built Environment at Sheffield Hallam University, overseeing teaching, student experience, and academic outcomes. He holds a PhD (2005) and BEng (2001) from SHU, with professional affiliations as MIET and FHEA. His research focuses on electronic sensors, robotics, and machine olfaction systems, with involvement in EU/EPSRC projects like REINS and Guardians. He actively supervises PhD students and collaborates on industrial projects through Knowledge Transfer Partnerships. Education: PhD: Advanced Quartz Crystal Microbalance Techniques Applied to Calixarene Sensing Membranes (SHU 2005) BEng (Hons): Electronic Systems & Information Engineering (SHU 2001) Research Interests: Development of embedded systems, robotics control, electronic-nose sensors, and sensor coatings. Current projects include Industry 4.0 IoT automation and sensor lab innovations for education. His work bridges academia-industry through device prototyping for healthcare and environmental monitoring. Awards: Fellow Higher Education Academy (FHEA) Teaching & Leadership: Teaches microprocessor systems modules and leads pedagogical reforms like Project-Based Learning assessment models. Presented at conferences on engineering education and remote laboratory solutions. Serves as External Examiner in Electrical/Electronic/Mechatronic Engineering.

Felix HuangView profile

Lecturer

• Human Factors
• Human Motor Learning
• Human Motor Control
• +4 more

Felix Huang is a Lecturer in the Department of Mechanical Engineering at Tufts University's School of Engineering. He joined Tufts in 2019 and holds expertise in human motor control, robotic rehabilitation, and surgical training. Previously, he served as a Research Assistant Professor at Northwestern University and Research Scientist at Shirley Ryan AbilityLab. Huang earned his Ph.D. and M.S. from the University of Michigan and B.S. from UC Berkeley. Education: PhD in Mechanical Engineering (University of Michigan, 2006), M.S. Mechanical Engineering (University of Michigan Medical School), B.S. Mechanical Engineering (UC Berkeley, 1996) His research focuses on neuro-rehabilitation robotics, haptic device control, and motor learning in stroke survivors. He has contributed to advancements in surgical skill training through virtual reality and robotics. Huang is actively involved in teaching, mentoring, and curriculum development in human factors engineering and mechanical systems. He has advised students on assistive technology projects and served as a judge in innovation competitions. His work bridges biomechanical research with clinical applications, emphasizing practical solutions for motor rehabilitation.

Nikolaos VitzilaiosView profile

Associate Professor

• Autonomous Unmanned Systems
• Robotics
• Mechatronics
• +2 more

Nikolaos Vitzilaios is an Associate Professor in the Department of Mechanical Engineering at the University of South Carolina's College of Engineering and Computing. He holds a PhD from the Technical University of Crete and specializes in autonomous unmanned systems, robotics, and control theory. His research integrates mechatronics and machine learning for applications in aerial robotics, structural inspection, and environmental monitoring. Recent publications focus on UAV-based railway infrastructure assessment, digital twins, and adaptive control under challenging environmental conditions. He has secured NSF funding for multi-robot systems and mentors graduate students in field robotics. Prior appointments include positions at Kingston University London and the University of Denver.

• Mathematics Education
• Statistical Modeling
• Robotics
• +2 more

Edwin V. Abaquita is a mathematics instructor at the University of South Florida's College of Arts and Sciences, Department of Mathematics & Statistics. He holds an MA in Mathematics and BA degrees in both Mathematics and Secondary Mathematics Education from USF, along with graduate coursework in electrical engineering. His academic interests span mathematics education, statistical modeling, and educational robotics. With extensive teaching experience spanning K-12 to university levels, Abaquita has taught courses including College Algebra, Pre-calculus, Finite Mathematics, Statistics, and Engineering subjects. He currently serves as Calculus coordinator and has developed flipped classroom models with extensive video resources. His technical background includes robotics research with publications on microcomputer-controlled robotic systems. Recipient of multiple teaching awards including Excellence in Teaching from St. Petersburg College Professional Educator's Certificates in Mathematics (6-12) and Computer Science (K-12) in Florida Former academic administrator roles including Dean positions at multiple Philippine universities

Abdurrahman IrscheidView profile

Researcher

• Control Theory
• Partial Differential Equations (PDEs)
• Nonlinear Control Systems
• +7 more

Dr. Abdurrahman Irscheid is a Researcher at the Chair of Systems Theory and Control Engineering under Prof. Rudolph at Saarland University. He holds a Doctorate (Dr.-Ing.) from the university and has been a research assistant since 2018, with prior student assistant roles dating to 2013. His research focuses on control and observer design for hyperbolic/parabolic PDEs, finite-time convergence methods, and cooperative load transportation with heavy ropes. He has supervised over a dozen theses and projects, including experimental validations of control systems. Educational Background: B.Sc. Mechatronics, Saarland University (2012-2015) M.Sc. Computational Engineering of Technical Systems (COMET), Saarland University (2015-2017, with distinction) Doctorate (Dr.-Ing.), Saarland University (2025) Research Interests: Boundary control of distributed-parameter systems Observer and backstepping design for hyperbolic PDEs Prescribed-time stabilization of nonlinear systems Flatness-based control for complex mechanical systems Applications in load transportation and dielectric elastomer actuators Awards: Best Paper Award (at-Automatisierungstechnik 2023) VDI-Preis 2019 (outstanding Master's thesis) VDE-Saar Preis (top electrical engineering graduation) Stiftungspreis 2018 (top Master's thesis) Teaching & Supervision: Lead exercises in Systems Theory and Control Engineering courses since 2018 Supervised 11+ theses/projects (e.g., observer-based controllers for heavy rope systems, prescribed-time stabilization) Co-advised projects on rotational pendulums and mobile platforms Labs/Teams: Active in the LSR research group focusing on distributed-parameter systems and nonlinear control applications.

Jonas MaierView profile

Researcher

• Control Engineering
• Model Predictive Control
• Systems Engineering
• +3 more

Jonas Maier is a Researcher at Saarland University, affiliated with the Chair of Systems Theory and Control Engineering and the Chair of Systems Modeling and Simulation. He holds an M.Sc. in Systems Engineering (2017-2023) and completed professional training as a mechatronics technician at Robert Bosch GmbH (2015-2017). His research focuses on control systems, including flatness-based control for permanent magnet synchronous machines and path tracking for vehicle-trailer configurations. Education : B.Sc. and M.Sc. in Systems Engineering, Saarland University (2017-2023) Professional training in Mechatronics at Robert Bosch GmbH (2015-2017) Research Interests : Jonas explores advanced control strategies in mechatronics and robotics, emphasizing model predictive control and system dynamics. His work bridges theoretical control engineering with practical applications in electromechanical systems. Awards : Deutschlandstipendium Scholarship (2018-2023) Labs/Teams : Active member of the Systems Theory and Control Engineering research group, collaborating on interdisciplinary projects in automation and mechatronics.

Ryan OrszulikView profile

Associate Professor

• Smart materials and structures
• Compliant mechanisms
• Parallel robotics
• +6 more

Dr. Ryan Orszulik serves as Associate Professor and Graduate Attribute Lead in the Department of Earth and Space Science and Engineering at York University's Lassonde School of Engineering. He joined York in 2019 as Assistant Professor in Engineering Design after completing prestigious postdoctoral fellowships at Otto von Guericke University Magdeburg and Harvard University. His academic trajectory includes: Ph.D. (unspecified institution) Alexander von Humboldt Postdoctoral Fellowship at Otto von Guericke University Magdeburg's Institute of Mechanics NSERC Postdoctoral Fellowship at Harvard Microrobotics Lab (John A. Paulson School of Engineering and Wyss Institute) Dr. Orszulik's research centers on intelligent design of robotic and mechatronic systems through dynamic modeling, advanced fabrication, and control strategies. His core expertise spans: Smart materials and structures Compliant mechanisms Parallel robotics Applications of control theory Piezoelectric actuators and shape memory alloys Bioinspired robotics His 2016-2018 publications reveal consistent focus on precision control of piezoelectric systems, addressing hysteresis compensation, nanopositioning, and high-fidelity simulation for aerospace and instrumentation applications through multi-physics modeling approaches. Key recognitions include: Alexander von Humboldt Postdoctoral Fellowship NSERC Postdoctoral Fellowship He maintains active research operations in York University's PSE 425 laboratory facility, developing innovative solutions for smart material-based robotic systems and structural applications.

Serhat YesilyurtView profile

Professor

• Micro-swimming robots
• Proton Exchange Membrane fuel cells (PEMFC)
• Vertical Axis Wind Turbines (VAWT)
• +3 more

Prof. Serhat Yesilyurt is a Professor of Mechatronics Engineering at Sabanci University in Istanbul, Turkey. He holds a PhD from MIT (1995) and has held visiting professorships at the University of Michigan. His research focuses on bio-inspired micro-swimming robots, PEM fuel cells, vertical axis wind turbines, and computational fluid dynamics. He leads projects on energy optimization, micro/nano swimmer dynamics, and PEMFC durability funded by TUBITAK and international collaborations. Education: BS in Nuclear Energy Engineering (Hacettepe University, 1986), MS/PhD in Nuclear Engineering (MIT, 1991/1995) Research: Specializes in microscale propulsion, renewable energy systems, and advanced fuel cell modeling. Collaborates internationally on medical micro-robotics and sustainable energy solutions. His recent work explores catalyst layer optimization for low-platinum fuel cells, acoustic manipulation of microswimmers, and VAWT control algorithms. Over 100 peer-reviewed publications and 3 patents demonstrate his interdisciplinary impact spanning robotics, energy systems, and fluid mechanics.

Hussein A. AbdullahView profile

Professor

• Rehabilitation Robotics
• Assistive Devices
• Biomedical Robotics
• +4 more

Hussein A. Abdullah is a Professor at the University of Guelph's School of Engineering, part of the College of Engineering and Physical Sciences. His research focuses on rehabilitation robotics, assistive devices, and biomedical robotics, with over 90 publications in international journals and conferences. He holds a Ph.D. in Mechatronics from the University of Glasgow and has held academic positions at institutions in Oman and Kuwait. His work includes developing therapeutic robotic systems for stroke rehabilitation, assistive feeding robots, and intelligent real-time robotic systems for greenhouse operations. He has secured funding from NSERC, NRC, and other organizations. Education: B.Sc. (Engineering, University of Technology, Baghdad), M.Sc. (Robotics, University of Glasgow), Ph.D. (Mechatronics, University of Glasgow). Professional affiliations include Professional Engineers Ontario (PEO) and editorial roles in robotics journals. Current research emphasizes assistive technologies, thermal energy storage systems, and spinal cord injury treatment through robotics and thermal modeling. Research Themes: Rehabilitation robotics for limb impairments, assistive devices for daily living, and advanced automation. His lab facilities include robot arms, virtual reality platforms, and CAD tools. He collaborates with industry partners on projects like smart door access systems and thermal energy storage solutions. Grants and Partnerships: Funded by NSERC, NRC, OMAFRA, and OCE. His work bridges academia and industry, addressing challenges in healthcare robotics, energy systems, and sustainable technologies.

Liming ZhouView profile

Professor

• Land-Atmosphere Interactions
• Climate Change
• Remote Sensing
• +5 more

Liming Zhou is a Professor in the Department of Atmospheric & Environmental Sciences at the University at Albany, State University of New York. His expertise spans physical geography and meteorology, with a focus on interdisciplinary research in land-human-climate interactions. He utilizes remote sensing, weather, and climate data to investigate how land surface changes affect climate and hydrology across diurnal, seasonal, and decadal time scales. His educational background includes: PhD in Geography from Boston University (2002) MSc in Meteorology from Nanjing Institute of Meteorology, China (1994) BSc in Meteorology from Nanjing Institute of Meteorology, China (1991) Professor Zhou's research centers on land-atmosphere interface processes, combining satellite observations, GIS data, and Earth system modeling. Key contributions include discoveries of warming-enhanced greening in northern latitudes, drought-induced vegetation browning in the Congo rainforests, turbine-induced nighttime warming over U.S. wind farms, and urbanization-driven climate effects in China. His methodologies integrate time series analysis, statistical techniques, and regional climate models like WRF to examine desert amplification, diurnal temperature asymmetries, and vegetation-climate feedbacks. Analysis of his recent publications (2022-2025) reveals concentrated research on regional climate dynamics in Africa (Congo Basin, Sahara), Asia (China, India), and the Americas. His work demonstrates consistent emphasis on land use impacts—urbanization, deforestation, wind farms—on temperature, precipitation, and vegetation patterns, while leveraging satellite data and climate models to address model deficiencies and improve predictive capabilities. Scientific awards: No specific awards were documented in the provided materials. Advising and grants: While his profile indicates active research leadership, no student names or grant details were explicitly referenced in the source text. Labs and teams: No specific laboratory facilities or research teams were identified in the available documentation.

• Engineering Education
• Environmental Engineering
• Sustainability Strategies
• +3 more

Ashish Borgaonkar is an Assistant Professor in the School of Applied Engineering and Technology at New Jersey Institute of Technology (NJIT). His research focuses on environmental engineering, sustainable strategies, and innovative engineering education methodologies. He actively contributes to projects addressing microplastic contamination in urban environments and improving student performance through active learning approaches. Key areas of research include the temporal/spatial distribution of microplastics in green infrastructures, curriculum design for inclusive and application-oriented learning, and mitigating plastic pollution impacts on ecosystems. He leads the U-RISE initiative to support underrepresented STEM students and has developed hands-on modules integrating drone technology and robotics into first-year engineering curricula. His work includes over 38 peer-reviewed publications, with recent emphasis on pandemic-era educational challenges and AI-driven student performance prediction. Borgaonkar received the 2024 Nexus of Excellence Award from NJIT, recognizing his contributions to academic innovation and student success. He collaborates with institutions on projects spanning environmental policy, engineering ethics integration, and maker-space education. Grants include the NSF-funded U-RISE program (2023-2024), focusing on broadening participation of underrepresented groups in STEM through mentorship and research opportunities. His teaching philosophy emphasizes bridging theoretical concepts with real-world applications via competitions, lab activities, and interdisciplinary projects. Borgaonkar's lab activities involve environmental monitoring systems, sustainability metrics, and educational technology innovations. He collaborates with libraries and industry partners to enhance research skills and prepare students for modern engineering challenges.

Yanjie ChenView profile

Visiting Professor

• Robotics
• Computer Vision
• Control Systems
• +3 more

Yanjie Chen is a Visiting Professor in the Department of Computer Science at Aberystwyth University. Their research focuses on robotics, computer vision, control systems, and artificial intelligence, with notable contributions in aerial manipulators, neural architecture search, and fuzzy logic systems. Chen holds the prestigious Newton International Fellowship since 2022. In robotics, Chen explores advanced control strategies for unmanned aerial vehicles and manipulators, addressing challenges like dynamic tracking, impedance control, and environmental disturbances. Their work in AI emphasizes optimization techniques for neural networks, including pruning and architecture search, enhancing computational efficiency. In computer vision, Chen develops attention-based mechanisms for super-resolution tasks. Key Achievements: Recipient of the Newton International Fellowship (2022) High-impact publications in IEEE Transactions and Springer venues Collaborations with institutions like Fuzhou University and Hunan University Chen’s research bridges theory and application, with practical solutions for robotics, autonomous systems, and AI-driven image processing.

Ting ZouView profile

Associate Professor

• Mechatronics
• Robotics
• Applied Machine Learning
• +5 more

Ting Zou is an Associate Professor at the Department of Mechanical and Mechatronics Engineering , part of the Faculty of Engineering and Applied Science at Memorial University of Newfoundland . She holds a BEng in Electrical Engineering from Xi’an Jiaotong University (2005), an MEng in Automation from the same institution (2008), and a PhD in Mechanical Engineering from McGill University (2013), where her doctoral work focused on MEMS-based bi-axial accelerometer design. After a postdoctoral fellowship at McGill’s Centre for Intelligent Machines, she joined Memorial University in 2018. Research Interests: Her work spans mechatronics, robotics, bio-inspired robotics, nonlinear control, and applied machine learning for robotic systems . Current priorities include robot mechanism design, oceanic robotics, advanced human-machine interaction, and intelligent manufacturing. She leads the Robotics and Ocean Engineering Collaborative Laboratory (ROMECOLAB) , integrating interdisciplinary approaches to address industrial automation challenges. Expertise: Specializes in robotic systems control, MEMS technologies, and smart manufacturing solutions . Her research aligns with emerging trends in AI-driven robotics and sustainable industrial applications. Professional Activities: Serves as a faculty member contributing to undergraduate and graduate education, advising students on mechanical and mechatronics engineering topics. Engaged in collaborative projects with industry partners to advance robotic technologies.