Find Academic Supervisors

Raska SoemantoroView profile

Researcher

• Machine Learning
• Computer-Aided Design (CAD)
• Fusion Energy
• +6 more

Raska Soemantoro is a Research Assistant at the University of Manchester's College of Engineering, Department of Mechanical and Aerospace Engineering. He is currently pursuing a PhD through the EPSRC Fusion Energy CDT, focusing on automated de-featuring of CAD geometries for simulation of complex systems. His work involves NVIDIA’s Omniverse platform and collaboration with the UK Atomic Energy Authority. Education : BEng in Aerospace Engineering (University of Manchester, 2021) MSc in Computational & Software Techniques in Engineering (Cranfield University, 2022) Research Interests center on machine learning applications for spatial and geometric analysis. Key areas include digital twin technology, CAD geometry simplification, neutronics simulation, and point cloud processing. His work aligns with UN Sustainable Development Goals related to education and computational engineering. Research Output Trends highlight collaborations across engineering software platforms, fusion energy systems (e.g., MAST-U Tokamak), and AI-driven geometric analysis. His projects involve digital twin platforms for lithium-based reactors, robotics for medical imaging, and LiDAR-based geospatial algorithms. Scientific Awards include: Best BEng Research Project (2021) Best Project Award (2022) Best Overall Achievement in MSc Computational Intelligence for Data Analytics (2023) CIUK Best Poster Prize (2024)

• Multifunctional Materials
• Multifunctional Composites
• Graphene-based Composites
• +12 more

Dr. Nisa Salim is a Senior Lecturer at the School of Engineering, Swinburne University of Technology , where she conducts pioneering research in multifunctional composite materials, smart coatings, and sustainable energy technologies. Her work is aligned with national and global priorities in space technology, clean energy, and circular economy. Institution: Swinburne University of Technology School: School of Engineering Academic Rank: Senior Lecturer Email: nsalim@swin.edu.au ORCID: 0000-0001-8069-8039 Dr. Salim’s research focuses on developing smart, engineered materials that can sense, actuate, and store energy. Her key areas include graphene-based composites, structural health monitoring, hydrogen storage, and digitalization of composite manufacturing. She leverages advanced nanomaterials to create next-generation composites for aerospace, marine, robotics, and energy applications. The recent publications highlight a strong trend in multifunctional materials, particularly in energy storage (supercapacitors, hydrogen), smart sensing (graphene sensors, digital twins), and sustainable composites (biomass-derived carbon, recycled polymers). Her work integrates machine learning, IoT, and Industry 4.0 principles into material design and manufacturing processes. Scientific Awards and Recognition Alexander von Humboldt Fellowship Philip Law Award, Royal Society of Victoria Theo Murphy Award, Australian Academy of Science Alfred Deakin Post-Doctoral Fellowship Victoria Fellowship Endeavour Research Fellowship AINSE Gold Medal for PhD Excellence University Ambassador, Royal Australian Chemical Institute Dr. Salim actively supervises PhD and master’s students in cutting-edge projects related to hydrogen storage, lunar dust mitigation, structural batteries, and smart coatings. She has secured multiple competitive grants from ARC, CSIRO, and industry partners, including projects on Scalable Graphene Enabled Smart Composites and Passive Lunar Dust Mitigation . Her editorial roles include serving on the boards of Chemical Engineering Journal , Polymers , and Journal of Composites Science . She leads research in advanced labs focused on composite manufacturing, nanomaterial synthesis, and smart sensor integration, often in collaboration with CSIRO, University of Melbourne, and international institutions. Her vision is to develop living materials that enable digitalization and IoT integration in engineering systems.

Sobh TarekView profile

Professor

• Robotics
• Artificial Intelligence
• Control Theory
• +12 more

Professor Tarek Sobh is the President and Professor of Electrical and Computer Engineering at Lawrence Technological University (LTU), Michigan. He also holds the title of Distinguished Professor and Dean of Engineering Emeritus at the University of Bridgeport, where he served in multiple leadership roles including Executive Vice President, Provost, and Dean of Engineering. His career spans decades of academic leadership, research innovation, and educational advancement. B.Sc. in Computer Science and Automatic Control, Alexandria University, Egypt (1988) M.S. in Computer and Information Science, University of Pennsylvania (1989) Ph.D. in Computer and Information Science, University of Pennsylvania (1991) His research focuses on robotics, automation, artificial intelligence, control systems, computer vision, and STEM education. He has made significant contributions to interdisciplinary research through the founding of the RISC Laboratory and several innovation centers. His work bridges theoretical advances with practical applications in manufacturing, sensing, and intelligent systems. Dr. Sobh has secured over 60 research grants and published extensively with more than 275 refereed papers and 27 books. His scholarly output reflects strong trends in robotics, intelligent control, and engineering education, with increasing emphasis on AI integration and online learning platforms. Notable honors include: Fellow, African Academy of Sciences Member, Connecticut Academy of Science and Engineering Fellow, Engineering Society of Detroit ASEE Northeastern U.S. Distinguished Engineering Professor of the Year IEEE Northeast Technological Innovation Research Award ACE Higher Education Award Dr. Sobh has supervised over 350 undergraduate and graduate students, including more than 50 award-winning researchers in robotics, prototyping, and control systems. He has been principal investigator on numerous federally and industrially funded grants supporting innovation in STEM education, robotics, and advanced manufacturing. His leadership extends to founding the CTech IncUBator and the UB Innovation Center, fostering technology transfer and entrepreneurship. He leads or has led several key research entities: Interdisciplinary Robotics, Intelligent Sensing, and Control (RISC) Laboratory (Founding Director, 1995–2020) High-Tech Business Incubator at UB (CTech IncUBator) (Founder, 2010–2011) UB Innovation Center (Founding Director, 2019–2020)

Tobias BornemannView profile

Professor

• Production Management
• Lean Management
• Industrial Engineering
• +5 more

Prof. Dr.-Ing. Tobias Bornemann holds a Cooperative Professorship for Production & Lean Management at Frankfurt University of Applied Sciences , while also serving as Head of Product Management for Autonomous Mobile Robotics at Continental AG . His work bridges theory and practice in areas such as Lean Management , Industrial Engineering , and Smart Factory through teaching, research, and industry collaboration. His research focuses on Intralogistics , Autonomous Mobile Robotics , and Agile Product Development . He leads projects at the Research Lab for Urban Transport (ReLUT) and contributes to the House of Logistics and Mobility (HOLM) , where he co-developed a learning factory. His publications emphasize Industry 4.0 , AMR fleet management , and digital education tools . Cooperative Professorship at Frankfurt UAS Head of Industrial Engineering (M.Sc.) program Research Lab for Urban Transport (ReLUT) House of Logistics and Mobility (HOLM) collaboration Continental AG Tech Matinees and Ambassadorship His academic efforts include mentorship for students, interdisciplinary teaching , and industry-academia partnerships under the PROFfm initiative.

Mario KupnikView profile

Professor

• Micromachined Sensors
• Ultrasonic Technology
• Non-Destructive Testing
• +4 more

Prof. Mario Kupnik is a Full Professor at the Technische Universität Darmstadt , leading the Measurement and Sensor Technology Group within the Department of Electrical Engineering and Information Technology. His academic career includes roles at Stanford University (2005–2011) and Brandenburgische Technische Universität Cottbus (2011–2014). He holds a doctorate from Montanuniversität Leoben (2000–2004) and a master's in Telematics from Graz University of Technology. His research focuses on micromachined sensors and actuators , ultrasonic and electroacoustic systems , and non-destructive testing . He pioneers innovations in wearable sensors, biomedical applications, and additive manufacturing for sensor integration. Notable contributions include air-coupled ultrasonic transducers, 3D-printed ferroelectret sensors, and robotics for STEM education. Recent work emphasizes biodegradable sensors , acousto-optic modulation , and multi-parameter medical measurement systems . His projects span from fundamental material science to applied engineering solutions, often leveraging open-source hardware. Kupnik’s labs integrate interdisciplinary approaches, combining electrical engineering, materials science, and biomedical engineering.

Beau SchelbleView profile

Assistant Professor

• Human-AI Teaming
• Responsible AI
• Trust in Human-AI Systems
• +12 more

Beau Schelble is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He is the founding director of the AI and Robotics for Collaborative Systems (ARCS) Lab, where he leads interdisciplinary research on human-AI teaming, responsible AI, and team cognition. His work bridges human factors, systems engineering, and artificial intelligence, with applications in advanced manufacturing, healthcare, emergency response, and defense. Education: PhD in Human-Centered Computing, Clemson University, 2023 BS in Psychology, Clemson University, 2018 Dr. Schelble's research focuses on optimizing collaborative systems involving humans and AI. Key interests include trust development, situational awareness, shared knowledge, and ethical AI integration. He employs mixed-methods approaches—qualitative, quantitative, and computational—to study human-AI interaction in complex environments. His work has resulted in over 30 peer-reviewed publications in top-tier venues across human factors, HCI, and systems engineering. The 15 most recent articles reflect a strong trend toward ethical AI, explainability, autonomy adaptation, and team cognition in human-AI systems. Topics span healthcare applications, collaborative technologies, training methods, and emotional expression in AI teammates, demonstrating a broad yet cohesive research agenda centered on responsible and effective human-AI collaboration. Scientific Awards and Recognitions: NSF Research Traineeship (THINKER) Scholarship, August 2019 Multiple best paper awards and nominations (5 total) in human factors and systems engineering conferences Dr. Schelble actively mentors students and leads a dynamic research lab. He has secured research support through academic collaborations and professional engagement with IEEE, HFES, ACM, and IISE. His lab, ARCS, fosters innovation in AI-driven collaborative systems. Future work includes expanding frameworks for outpatient care, adaptive autonomy in healthcare, and deeper integration of human teaming principles into AI design. He continues to publish extensively and contribute to shaping the future of human-AI teaming.

• Sustainable Structural Engineering
• Additive Manufacturing in Construction
• Biobased Materials
• +3 more

Benjamin Kromoser is a Professor for Resource Efficient Structural Engineering at the Institute of Green Civil Engineering (BOKU Vienna). He leads research projects on sustainable construction methods, including additive manufacturing of biobased materials, timber-concrete composites, and topology optimization of structural elements. His work bridges digital fabrication, circular economy principles, and industry 4.0 in civil engineering. Head of Institute of Green Civil Engineering (2022–present) Speaker of Doctoral School Build.Nature (2021–2022) University Professor for Biobased Design (2018–2022) His research focuses on reducing environmental impacts through automated design, 3D printing of concrete, and non-metallic reinforcement. Recent projects include 3DP Biowalls (biobased recyclable walls) and prestressed carbon-UHPC elements. Scientific awards include the fib Achievement Award (2019) , Inits Award (2016) , and Bundespreis für Ecodesign (2016) .

• Robotics
• Industrial Automation
• Control Systems
• +6 more

Petter Falkman is a researcher at Chalmers University of Technology, specializing in robotics, industrial automation, and control systems. His work bridges theoretical advancements with practical applications in manufacturing, leveraging technologies like digital twins, eye tracking, and virtual reality. Key Research Areas: Robotics, Industrial Automation, Control Systems, Digital Twins, Human-Computer Interaction, Machine Learning. Collaborations: Frequently works with Bengt Lennartson, Kristofer Bengtsson, Martin Dahl, and colleagues across institutions. Publication Trends: Recent articles focus on gaze-based human intention prediction, ROS2 control architectures, and compositional automated planning. His work integrates machine learning with industrial control systems, emphasizing event-driven design and virtual commissioning. Methodologies: Develops frameworks like EPypes for data pipelines, contributes to STEP AP214 model generation, and explores energy optimization in multi-robot systems.

Tobias WindischView profile

Professor

• Machine Learning
• Computer Vision
• Reinforcement Learning
• +4 more

Prof. Dr. Tobias Windisch is a Professor at the University of Applied Sciences Kempten, where he serves as head of the Institute for Machine Vision within the Faculty of Mechanical Engineering. He leads the Optical 3D Measurement and Computer Vision Laboratory (3D visionlab) and oversees research activities focused on machine learning applications for industrial automation. Dr. Windisch received his PhD in mathematics from OvGU Magdeburg under the supervision of Thomas Kahle, and holds an Honors Master's degree in mathematics from TU Munich within the elite TopMath program. Prior to his academic career, he worked on machine learning projects for Robert Bosch GmbH and Daimler TSS GmbH (now Mercedes-Benz Tech Innovation). His research spans machine learning, computer vision, and optical sensing with a strong focus on industrial applications. Windisch's work primarily explores how reinforcement learning can be combined with optical sensing to develop intelligent control strategies for manufacturing processes. His team develops mechanical processes built around machine learning models to further automate industrial applications using data from optical sensors. The research has practical applications in automotive production, quality control, and precision manufacturing. Analysis of his recent publications reveals a strong trend toward practical implementations of machine learning in industrial settings, with particular emphasis on reinforcement learning for process optimization, drift detection in high-dimensional data, and causal structure learning for manufacturing analytics. His work bridges theoretical machine learning with real-world industrial challenges. As a dedicated educator and research leader, Windisch maintains high standards for academic integrity and excellence. He believes in creating an environment where students can focus deeply, think boldly, and innovate through meaningful research. Dr. Windisch leads a dynamic research group with numerous Master's and Bachelor's students working on cutting-edge projects including reinforcement learning for active alignment, drift detection in sensory data, latent drift detection with Autoencoders, and representation learning for industrial processes. His laboratory, the 3D visionlab, serves as the physical hub for this research. The Institute for Machine Vision under his leadership develops practical tools and frameworks such as relign, lineflow, and driftbench that are openly available on GitHub, demonstrating his commitment to reproducible research and practical applications.

Roderich GroßView profile

Professor

• swarm robotics
• multi-robot-systems
• modular and reconfigurable robotics
• +1 more

Professor Roderich Groß is a faculty member at Technical University of Darmstadt, where he serves as Head of the RCPS Lab (Robotics, Control, and Physical Systems Laboratory). His extensive research career spans over two decades with publications dating back to 2006, establishing him as a leading figure in swarm robotics. His work appears in top-tier robotics journals including IEEE Transactions on Robotics, Nature Communications, and The International Journal of Robotics Research. Professor Groß's research focuses on swarm robotics, multi-robot systems, modular and reconfigurable robotics, and human-robot interaction. His work explores how groups of relatively simple robots can collectively perform complex tasks through decentralized control mechanisms. He investigates modular systems that can adapt their physical structure to different tasks and develops human-robot interaction paradigms that enable effective collaboration between humans and robot swarms. His research has practical applications in search and rescue, environmental monitoring, construction, and industrial automation. Analysis of Professor Groß's recent publications reveals a clear evolution from foundational swarm behaviors toward increasingly sophisticated applications. His work addresses critical challenges including energy management in robot swarms (CapBot), multi-operator control interfaces, heterogeneous systems for industrial applications, and bio-inspired collective behaviors. His research bridges theoretical swarm intelligence principles with practical implementation on physical robot platforms like Kilobots, with recent work integrating artificial intelligence techniques such as language models for swarm control. As Head of the RCPS Lab, Professor Groß leads a productive research group with extensive international collaborations. The lab works with various robot platforms focusing on both theoretical modeling and practical implementation of swarm behaviors, contributing significantly to advancing the field of swarm robotics from theoretical foundations to real-world applications.

• Theoretical Kinematics
• Screw Theory
• Lie Algebra
• +7 more

DAI Jiansheng is a Chair Professor at Southern University of Science and Technology (SUSTech) and Director of the Robotics Research Institute. He is a Fellow of the Royal Academy of Engineering (FREng), Fellow of the Academia Europaea, and holds multiple fellowships including IEEE, ASME, RSA, and IMechE. As Editor-in-Chief of the international journal Robotica, he has established himself as a leading authority in mechanisms and robotics research. His educational background includes a PhD from the University of Salford (1989-1993), a Master's degree from Shanghai Jiao Tong University (1982-1984), and a Bachelor's degree from the same institution (1978-1982). His academic journey has taken him from postdoctoral work at Salford University to research positions at Unilever Liverpool Research Centre before becoming a faculty member at the University of Sunderland and ultimately King's College London, where he served as Reader and then Chair Professor from 2007 until his current position at SUSTech. Professor Dai's research spans theoretical kinematics, screw theory, Lie algebra, and their applications to metamorphic and reconfigurable mechanisms. His pioneering work bridges the gap between versatile but expensive robots and efficient but non-flexible machines. His research interests include origami-inspired robotics, rehabilitation robotics for ankle treatment, soft robotics, and industrial applications in packaging and manufacturing. His theoretical framework has enabled significant advances in reconfigurable parallel mechanisms and metamorphic robotics. His extensive publication record shows a clear progression from fundamental theoretical work on screw algebra and Lie groups to practical applications in rehabilitation, manufacturing, and soft robotics. Recent publications demonstrate increasing focus on soft robotics, variable stiffness actuators, and continuum robots with Shape Memory Alloy applications, while maintaining strong theoretical foundations in screw theory and kinematic analysis of metamorphic mechanisms. ASME Mechanisms and Robotics Award (2015) ASME Machine Design Award (2020) IFToMM Excellence Award (2023) Tianjin Municipal Natural Science First Prize (2021) Crossley Award (2018) AT Yang Award in Theoretical Kinematics (2019) Professor Dai has supervised over 50 PhD students who now hold faculty positions at world-leading universities including University College London, Queen Mary University London, Purdue University, and Wollongong University. His research has been supported by numerous grants enabling the establishment of advanced robotics laboratories and international collaborations. He founded the IEEE Triennial International Conference on Reconfigurable Mechanisms and Robots (ReMAR), creating a major platform for international scholarly exchange in this specialized field. His research group maintains strong industry partnerships with companies including Cambridge Consultants, Goldman Sachs, and Amazon. The Robotics Research Institute he directs at SUSTech serves as a hub for interdisciplinary research, bringing together experts in mechanical engineering, computer science, biomedical engineering, and materials science. The institute focuses on both fundamental theoretical advances in mechanism design and practical applications in healthcare, manufacturing, and service robotics, with particular emphasis on metamorphic and reconfigurable systems that can adapt to multiple tasks.

• Smart Industry
• Industry 4.0
• Human Resource Management (HRM)
• +5 more

Milou Habraken is a Researcher in the Department of Communication Science at the University of Twente . Her research focuses on the intersection of Industry 4.0 , Human Resource Management (HRM) , and Work Design , particularly examining how collaborative robots (cobots) and digital transformation reshape workplace dynamics. Key Research Areas: Smart Industry, Occupational Safety and Health, Human-Robot Collaboration, Digital Workspaces Recent Publications: Her 2023 reports with CEPS analyze policy implementations for smart industry in Belgium, while her 2022 work with ILO provides methodological frameworks for occupational safety metrics. Earlier studies (2016-2020) explore job design evolution, HRM adaptation, and critical analyses of Industry 4.0 hype versus practical realities. Awards & Grants: No explicit scientific awards mentioned, though her research has been supported by institutions like the International Labour Organization (ILO) and Centre for European Policy Studies (CEPS).

• Industrial Automation
• Robotics
• Control Systems
• +7 more

Julio Garrido Campos is a full-time researcher at the University of Vigo , affiliated with the School of Industrial Engineering and the Department of Systems and Automation Engineering . He is a member of the research group EN.EDI Efficient and Digital Engineering , focusing on advanced robotics, industrial automation, and digital manufacturing standards. Education: Doctor from the University of Vigo (1999) with a thesis on technical information exchange in concurrent engineering environments, supervised by Dr. Ricardo Marín Martín. His research spans mechatronics , cable-driven parallel robots (CDPR) , motion control systems , and STEP-NC standards for manufacturing. Recent work includes marine robotics applications for underwater load handling, 3D printing for maritime plastic circular economy initiatives, and digital twin development for industrial automation. Publications highlight trends in robotics for rehabilitation , custom non-conventional robotics , and energy-efficient manufacturing . He has contributed to frameworks for integrating simulation, control, and management tools in industrial digital twins. No specific scientific awards are mentioned in the provided text. Labs & Teams: Garrido Campos works within the Laboratorio de manutención e informática industrial Ricardo Marín , a group dedicated to industrial automation and mechatronics research for 25+ years.

Emily Rogers-BradleyView profile

Assistant Professor

• Prosthesis Design and Development
• Orthosis and Exoskeleton Development
• Biomechanics
• +5 more

Dr. Emily Rogers-Bradley serves as an Assistant Professor at the University of Calgary's Schulich School of Engineering with dual appointments in the Department of Mechanical and Manufacturing Engineering and Department of Biomedical Engineering. She is also a Full Member of the McCaig Institute for Bone and Joint Health and a Child Health & Wellness Researcher at the Alberta Children's Hospital Research Institute. As director of the Adaptive Bionics Lab, Dr. Rogers-Bradley leads innovative research at the intersection of precision machine design, biomechanics, and robotics for medical applications. Her educational foundation includes: PhD in Mechanical Engineering from Massachusetts Institute of Technology (2023) SM in Mechanical Engineering from Massachusetts Institute of Technology (2019) SB in Biomedical Engineering from Harvard University (2015) Dr. Rogers-Bradley's research program focuses on three interconnected domains: Prosthesis Innovation: Developing robotic prosthetic devices with variable-stiffness mechanisms that adapt to walking speeds and terrains for people with lower limb amputations, significantly improving biomechanical outcomes Exoskeleton Development: Creating wearable orthotic devices that correct gait abnormalities and enhance performance for specialized activities including rock climbing and downhill walking Biomechanical Analysis: Conducting detailed studies of human gait to optimize device functionality and assess real-world impact on users Her publication trajectory reveals a strategic focus on adaptive wearable robotics, with recent work emphasizing variable-stiffness prostheses that improve walking biomechanics across speeds. Her research spans fundamental biomechanics to practical rehabilitation applications, with notable contributions to EMG-controlled prosthetics and specialized devices for extreme activities. She has also pioneered pediatric applications through wearable technologies for developmentally delayed infants. Dr. Rogers-Bradley's scholarly excellence is recognized through multiple prestigious awards: Best Paper Award Finalist, IEEE/ASME Transactions on Mechatronics (2025) Evolve to Innovate - Best Roadmap and Financial Plans, Hunter Hub for Entrepreneurial Thinking (2025) Early Career Research Excellence and Undergraduate Teaching Excellence, Schulich Excellence Awards (2024) National Science Foundation Graduate Research Fellowship (2017) As an academic leader, Dr. Rogers-Bradley serves as Associate Editor for IEEE Transactions on Neural Systems and Rehabilitation Engineering and the IEEE RAS/EMBS International Conference on Biomedical Robotics. She teaches Biomedical Engineering Foundations (BMEN 600) and Machine Component Design (ENME 493), while her research is supported through university strategic initiatives in Child Health and Wellness (2020-2025) and One Health (2020-2025). The Adaptive Bionics Lab, located in MEB223, operates as a multidisciplinary hub where mechanical engineers, computer scientists, and clinicians collaborate to develop next-generation assistive technologies. The lab's work integrates advanced materials, control systems, and biomechanical analysis to create devices that adapt to real-world environments, with ongoing projects spanning from adult mobility restoration to pediatric developmental support.

Damien CoyleView profile

Professor

• Computational Intelligence
• Artificial Intelligence
• Bio-signal Processing
• +4 more

Professor Damien Coyle is a leading academic at Ulster University , holding the title of Professor of Neurotechnology and serving as Director of the Intelligent Systems Research Centre (2017-2022) and Research Director in the School of Computing, Engineering and Intelligent Systems. He also leads the Cognitive Analytics Research Laboratory (CARL) and directs Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) . His research focuses on AI-driven brain-computer interface (BCI) development , translating electrophysiological signals into control signals for applications in rehabilitation, diagnostics, assistive communication, and entertainment. With over 190 publications and an h-index of 31, he pioneered wearable neurotechnology through his spinout company NeuroCONCISE Ltd (founded 2016). 2008 IEEE CIS Outstanding Doctoral Dissertation Award 2011 INNS Young Investigator of the Year 2018 IET Innovation Award Over £18m in external grants Co-investigator for Northern Ireland Functional Brain Mapping Facility As a IEEE Senior Member and founder of the International Brain-Computer Interface Society , he bridges academic research with industrial applications through projects like AI for Intelligent Neurotechnology and Smart Nano-Manufacturing Corridor .