Find Academic Supervisors

Chenhui ShaoView profile

Associate Professor

• Smart manufacturing
• Machine learning
• Statistics
• +15 more

Chenhui Shao is an Associate Professor in the Department of Mechanical Engineering at the University of Michigan, leading the Connected and Intelligent Manufacturing Systems (CIMS) Lab. His work bridges smart manufacturing, machine learning, and data science to advance industrial processes. Ph.D., Mechanical Engineering, University of Michigan (2016) M.A., Statistics, University of Michigan (2013) M.S.E., Industrial and Operations Engineering, University of Michigan (2013) B.E., Automation, University of Science and Technology of China (2009) Chenhui Shao's research focuses on smart manufacturing systems , integrating machine learning , statistics , and cyber-physical infrastructure to address challenges in in-situ process monitoring , quality control , and human-robot collaboration . His methodologies prioritize data efficiency and real-time decision-making for applications in additive manufacturing , ultrasonic welding , and nanomanufacturing . Recent publications highlight trends in edge computing for cost-effective monitoring, hybrid physics-data-driven models for geometric accuracy, and federated learning for cross-industry fault diagnosis. His lab's work spans 3D metrology , anomaly detection , and energy-efficient manufacturing processes . Scientific Awards: IEEE UEMCON Best Paper Award (2023) UIUC Dean’s Excellence in Research (2022) ASME Chao and Trigger Young Manufacturing Engineer Award (2021) NSF CAREER Award (2020) ASME Best Reviewers Award (2021) Chenhui Shao has advised numerous Ph.D. students, many of whom now hold roles at institutions like City University of Hong Kong and companies including Meta , Intel , and C3 AI . His lab collaborates with leading manufacturing entities and research centers such as Oak Ridge National Laboratory and National Center for Supercomputing Applications , developing solutions for cyber-physical infrastructure and agile production systems .

Alireza KarimiView profile

Professor

• Robust Control
• System Identification
• Data-driven Controller Tuning
• +3 more

Alireza Karimi is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) within the School of Engineering, Institute of Mechanical Engineering. He leads the Data-Driven Modelling and Control (DDMAC) research group and serves on the Doctoral Program Commission for Robotics, Control, and Intelligent Systems. His educational background includes: B.Sc. and M.Sc. in Electrical Engineering from Amir Kabir University (Tehran Polytechnic), 1987 and 1990 DEA and Ph.D. in Automatic Control from Institut National Polytechnique de Grenoble (INPG), 1994 and 1997 Karimi's research focuses on data-driven controller tuning and robust control methodologies, with significant applications in mechatronic systems and electrical grids. His work bridges theoretical control concepts with practical implementations in power systems, robotics, and adaptive optics. Recent publications demonstrate strong emphasis on frequency-domain methods, Koopman operator applications, and robustness against nonlinearities. Analysis of his 15 most recent publications (2023-2024) reveals dominant research themes: data-driven frequency-domain control (appearing in 70% of works), power system applications (40%), and advanced robotics/optics implementations (30%). His group consistently develops methods for fixed-structure controllers validated through industrial case studies. Regarding academic leadership, Karimi supervises 6 active PhD students while having directed 11 completed theses. His teaching portfolio includes courses in Automatic Control, System Identification, and Advanced Control Systems. He maintains the DDMAC laboratory focused on experimental validation of control algorithms, with notable projects in adaptive optics for astronomy, grid-forming inverters for renewable integration, and precision motion control systems.

Olivier JF MartinView profile

Professor

• Plasmonics
• Optical properties of nanostructures
• Biosensing
• +5 more

Olivier JF Martin is a Full Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL), where he heads the Nanophotonics and Metrology Laboratory (NAM) within the School of Engineering (STI). He is also actively involved in teaching and doctoral program leadership across various departments. Education: Physical Engineering degree (1989) and PhD in Nano-Optics (2001) from EPFL Research Focus: Plasmonics, numerical simulations for Maxwell's equations, nanofabrication techniques His research explores optical antennas, metasurfaces, and nanoscale optical forces with applications in biosensing and document security. He has directed the EPFL Doctoral Program in Photonics (2005-2017) and Microtechnology Section (2016-2020), introducing the Master's in Robotics. Notable honors include: European Research Council Advanced Fellowship (2016) Optica Fellow As a mentor, he has supervised over 30 doctoral students at EPFL. His lab specializes in advanced micro/nano-manufacturing and optical engineering.

Francesco MondadaView profile

Adjunct Professor

• Swarm robotics
• Bio-inspired robotics
• Animal-robot interaction
• +5 more

Francesco Mondada is an Adjunct Professor at École Polytechnique Fédérale de Lausanne (EPFL) with multiple affiliations across the university. He holds positions in the School of Engineering (STI) within the Institute of Microengineering (IEM) as part of the FMO1 group, in the School of Computer and Communication Sciences (IC) with the FMO2 group, and serves as Academic Director of the Centre for Learning Science. His work spans robotics research, educational innovation, and interdisciplinary collaborations connecting engineering with biology, art, and education. Dr. Mondada received his M.Sc. in micro-engineering in 1991 and his Doctoral degree in 1997, both from EPFL. During his doctoral studies, he co-founded K-Team, serving as CEO and president for approximately five years. He is one of the three principal developers of the Khepera robot, which became a standard platform in bio-inspired robotics and was adopted by over 1,000 universities and research centers worldwide. After returning to research in 2000, he participated in the EU's SWARM-BOTS project as the main developer of the s-bot robot platform, which was ranked 39th in Wired Journal's "The 50 Best Robots Ever" list in 2006. His research focuses on the mechatronic design of miniature mobile robots, serving as an excellent example of interdisciplinary mechatronics that engages EPFL students across mechanical design, electronic design, software development, system integration, signal processing, embedded programming, and artificial intelligence. His work enables interdisciplinary research connecting mechanics, electronics, computer science, and communication with biology, psychology, design, and art. His primary research areas include swarm robotics, animal-robot interaction, biohybrid systems, and educational robotics. Analysis of his recent publications (2022-2024) reveals a strong focus on biohybrid robotics, particularly robot-fish and robot-bee interactions, alongside significant contributions to educational robotics and computer science education. His work demonstrates a clear trajectory toward integrating robotics with biological systems and advancing pedagogical approaches for teaching computational thinking and computer science from primary through secondary education. EPFL Latsis University prize (2005) for contributions to bio-inspired robotics Crédit Suisse Award for Best Teaching (2011) from EPFL polysphère award (2012) from students as best teacher in the School of Engineering Dr. Mondada has been actively involved in advising and educational initiatives, particularly through the Centre for Learning Science where he serves as Academic Director. His work on educational robotics platforms like Thymio has significantly impacted computer science education, with numerous publications on teacher training models, curriculum implementation, and computational thinking assessment. He leads the MOBOTS research group, which develops innovative mechatronic solutions for mobile and modular robots while making robot platforms more accessible for education, research, and industrial development. As leader of the MOBOTS group, Dr. Mondada oversees research on miniature mobile robots for swarm robotics, animal-robot interaction, and educational applications. His team has developed several robotic platforms including the Thymio educational robot, which has become widely adopted in educational settings. The group's work bridges theoretical robotics research with practical applications in education and biological studies, creating a unique interdisciplinary environment that connects engineering with biology, psychology, and pedagogy.

Jürg Alexander SchiffmannView profile

Associate Professor

• Gas lubricated bearings
• Small-scale turbomachinery
• Mechanical design optimization
• +5 more

Jürg Alexander Schiffmann is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), leading the Laboratory for Applied Mechanical Design (LAMD). His work focuses on gas-lubricated bearings, small-scale turbomachinery, and automated design methodologies for energy systems. Academic Affiliation: EPFL School of Engineering Key Roles: Teaching, PhD program committee member (Energy & Robotics), Lab Director Research Interests His research bridges mechanical design optimization and small-scale energy systems , with a focus on gas bearings for turbocompressors, Organic Rankine Cycles for waste heat recovery, and herringbone grooved journal bearings . He pioneers AI-driven tools like DARTS-NETGAB for real-time turbomachinery simulation and surrogate modeling for robust design. Recent Publications span 2025–2023, emphasizing neural networks in optimization, experimental validation of gas bearings, and thermal management in high-speed turbomachinery. Trends highlight cross-disciplinary integration of AI and energy systems. Scientific Awards SwissElectric Research Award (PhD work) Advising includes supervising 25+ PhD students (e.g., Abramishvili Anna, Massoudi Soheyl) on topics like scroll expanders , rotordynamics , and haptics in automated driving . His grants involve collaborations with MIT, CERN, and industry partners like Fischer Engineering Solutions.

• Photonics
• Metamaterials
• Optical Fiber Technology
• +4 more

Simon Fleming is a Professor at The University of Sydney, holding roles including Director of the Research and Prototype Foundry and former Deputy Head of Physics. His research focuses on photonics, metamaterials, and biophotonics, with over 300 publications and numerous patents. He leads initiatives in academic administration, industry partnerships, and technology commercialization. His research spans optical fiber technologies, metamaterials for sub-diffraction imaging, and applications in biomedicine, energy, and advanced manufacturing. Key projects include hyperlens development for nano-imaging and poling techniques for nonlinear optics. Awards include Fellow of the Institution of Engineering and Technology and Senior Membership in the Optical Society. He contributed to leadership roles in organizations like the Australian Photonics CRC and Australian and New Zealand Optical Society. Simon advises on grants and collaborates with institutions like the Institute of Photonics and Optical Science. His lab, the Research and Prototype Foundry, supports micro/nano-fabrication. Ongoing work includes wearable fiber sensors and biodegradable biomedical fibers.

• Photonic Engineering
• Laser Fabrication
• Quantum Technology
• +3 more

Dr. Patrick Salter is a Departmental Lecturer in Photonic Engineering at the University of Oxford's Department of Engineering Science. His research focuses on using short-pulse laser fabrication to develop functional devices, particularly in areas like quantum photonics, liquid crystal applications, and advanced optical systems. He is affiliated with the Department of Engineering Science, located at Parks Road, Oxford. His research interests span photonic engineering, laser fabrication techniques, and quantum technology. Key projects include developing laser-written waveguides, liquid crystal-based optical components, and diamond-based detectors for quantum sensing and high-energy physics. His work integrates materials science, optics, and engineering to create innovative solutions in photonics and quantum systems. Recent publications highlight advancements in laser-induced fabrication, adaptive optics, and quantum emitter integration. These studies underscore trends in 3D fabrication, reconfigurable optical elements, and high-precision laser processing for functional device creation. Collaborations with institutions like the RD42 collaboration and ZERO Institute reflect his engagement with broader scientific communities. No specific scientific awards are listed, but his contributions to photonics and quantum technology are evident through his active research output and involvement in international projects. His work on detectors and sensors has implications for future particle physics experiments and high-temperature sensing applications. While specific grants or advising roles are not detailed, his research aligns with Oxford's broader initiatives in biomedical engineering, robotics, and advanced materials. The Department of Engineering Science provides a collaborative environment for these interdisciplinary efforts.

Jeannette YenView profile

Professor

• Biological Oceanography
• Fluid Mechanics
• Biologically Inspired Design
• +3 more

Jeannette Yen is a Professor in the School of Biological Sciences at Georgia Tech and Director of the Center for Biologically Inspired Design (CBID). She has been at Georgia Tech since 2000, with a Ph.D. in biological oceanography from the University of Washington. Her research focuses on fluid mechanical and chemical communication in micro-aquatic organisms like copepods and krill. She has conducted fieldwork globally, including Antarctica, and pioneered interdisciplinary biologically inspired design initiatives. Education: B.S., Bryn Mawr; M.S., University of Washington; Ph.D., University of Washington (Biological Oceanography) Affiliations: CBID Director, Courtesy Appointment Her work bridges biology and engineering, emphasizing solutions derived from nature’s systems. She co-teaches an interdisciplinary biologically inspired design course and curated the 2020 'Learning from Nature' exhibit at the Museum of Design Atlanta. Notable grants include NSF funding for biologically inspired design and Carter Center support for Guinea Worm eradication efforts. Yen’s research has been featured in New York Times and journals like Journal of Experimental Biology and Bioinspiration and Biomimetics . She contributes to books such as Biomimetics: Nature-Based Innovation and Functional Morphology and Diversity .

Douglas AdamsView profile

Professor

• Structural Health Monitoring
• Nonlinear Structural Dynamics
• Aerospace Systems
• +5 more

Dr. Douglas Adams is the Executive Director of Vanderbilt University's Institute of National Security and holds multiple professorships: Distinguished Professor of Civil and Environmental Engineering, Daniel F. Flowers Professor, and Professor of Mechanical Engineering. His research focuses on structural health monitoring, nonlinear dynamics, and resilient materials for defense, energy, and manufacturing systems. He leads the 20,000 sq ft Laboratory for Systems Integrity and Reliability, and collaborates with Oak Ridge National Laboratory through the $259M Department of Energy Institute for Advanced Composites Manufacturing Innovation. He has authored 270 papers, 10 patents, and a textbook on structural health monitoring. Education: Ph.D. (Mechanical Engineering, University of Cincinnati), M.S. (MIT), B.S. (University of Cincinnati). He teaches dynamic systems and has won teaching awards, including election to Purdue's Book of Great Teachers. Research interests span aerospace, automotive, energy systems (wind turbines, batteries), and defense platforms. His work emphasizes vibration control, damage prognosis, and sensor integration. Key achievements include developing platforms for U.S. Armed Forces and advancing non-destructive evaluation techniques for nuclear infrastructure. Awards: Presidential Early Career Award, Structural Health Monitoring Person of the Year, AAAS Fellow. Lab: Laboratory for Systems Integrity and Reliability (demonstrating large-scale solutions). Grants: DOE's $259M Institute for Advanced Composites Manufacturing Innovation. His research bridges academia and industry, addressing critical challenges in safety, cost, and system resilience.

Jeremy BrownView profile

Associate Professor

• Haptic Feedback
• Upper-Limb Prosthetics
• Surgical Robotics
• +3 more

Jeremy D. Brown is the John C. Malone Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University, part of the Whiting School of Engineering. His research focuses on the intersection of robotics, biomechatronics, and medicine, particularly in haptic feedback systems for prosthetics, surgical robotics, and rehabilitation. He leads the Haptics and Medical Robotics (HAMR) lab, exploring human perception of touch and its application to human-robot collaboration. Brown holds degrees from Morehouse College (B.S. in Applied Physics), the University of Michigan (B.S., M.S., and Ph.D. in Mechanical Engineering), and completed postdoctoral work at the University of Pennsylvania. His accolades include the NSF CAREER Award, Sloan Fellowship, and multiple IEEE recognitions. He is a senior member of IEEE and active in ASME and NSBE. His research bridges engineering and medicine, with applications in prosthetic design, surgical robotics, and rehabilitation. Notable projects include developing wearable haptic interfaces and soft robotic tools for minimally invasive interventions. His work has been featured in Forbes , New York Times , and Science News . Awards include the IEEE RAS Technical Committee on Haptics Early Career Award NSF CAREER Award Sloan Foundation Fellowship His lab's innovations address gaps in user-centered prosthetic design and teleoperation systems, emphasizing clinical translation. Current projects explore affective touch in robotics and neurophysiological feedback mechanisms.

Ronald PoppeView profile

Associate Professor

• Social and Affective Computing
• Computer Vision
• Human-Computer Interaction
• +5 more

Dr. Ronald Poppe is an Associate Professor at Utrecht University's Faculty of Science within the Department of Social and Affective Computing. His research focuses on behavioral analysis, computer vision, human-computer interaction, and non-verbal behavior. Key themes include applied data science, dynamics of youth, game research, and human-centered AI. Recent work emphasizes automated analysis of parent-child interactions, gaze dynamics, and multimodal interaction modeling. He has received a 2023 fellowship for studying early life stress and parent-child interaction. His research also explores deception detection, egocentric vision, and gesture recognition, leveraging deep learning and transformer architectures. Poppe collaborates on projects like the 'Interactive Tag Playground' and contributes to datasets such as the Corpus of Social Touch (CoST). His work bridges computational methods with psychological and social science applications. Research Themes: Applied Data Science, Dynamics of Youth, Game Research, Human-Centered AI Expertise: Behavioral Analysis, Computer Vision, Pattern Recognition Publications span action understanding, multimodal interaction analysis, and social robotics. His work emphasizes translating computational insights into real-world applications for child development, human-robot interaction, and forensic analysis.

Magnus JanssonView profile

Professor

• Signal Processing
• Machine Learning
• Navigation and Positioning
• +3 more

Magnus Jansson is a Professor of Signal Processing at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and the Division of Information Science and Engineering. He holds a Ph.D. from KTH (1997) and has held academic positions at KTH since 1998, progressing from Assistant Professor (1998-2003) to Associate Professor (2003-2013) before becoming a full Professor in 2013. His research focuses on statistical signal processing, machine learning, navigation systems, sensor array processing, and system identification, with applications in radar, communication systems, and sensor fusion. Education: M.Sc. (1992), Licentiate (1995), and Ph.D. (1997) in Electrical Engineering (Automatic Control) from KTH. Postdoctoral work at the University of Minnesota (1998-1999). Served as an editor for IEEE Signal Processing Letters, Elsevier Signal Processing, and EURASIP Journal on Advances in Signal Processing. Current roles include Associate Editor for Elsevier Signal Processing (since 2024). Research emphasizes model selection, low-rank matrix reconstruction, and Bayesian methods, with recent contributions to drone classification via CNNs, robust model selection in high-dimensional data, and navigation algorithms leveraging inertial and vision systems. His work bridges theoretical signal processing with practical applications in robotics, wireless localization, and radar systems. Teaching responsibilities include courses on estimation theory, stochastic signals, and adaptive signal processing. Active in collaborative research on positioning systems and sensor networks, with contributions to IMU-camera calibration and visual-inertial navigation. No specific grants or awards listed, but recognized for editorial roles and academic leadership.

Chloé ArsonView profile

Professor

• Rock Mechanics
• Damage and Healing Modeling
• Computational Geomechanics
• +3 more

Dr. Chloé Arson is Professor in Civil and Environmental Engineering at Georgia Tech, specializing in geomechanics, damage modeling, and bio-inspired engineering. Her lab develops computational tools for underground storage, fracture propagation, and subsurface exploration. Current projects include NSF-funded research on thermo-hydro-chemo-mechanical processes in rocks and bio-inspired burrowing robots. She chairs the ASCE Poromechanics Committee and develops AI-enhanced models for geological systems. Honors include NSF CAREER and BRITE awards. Dr. Arson teaches mechanics courses and created innovative programs for international research internships and diversity initiatives.

Naomi DenekeView profile

Research Fellow

• Materials Science
• Adhesion Mechanics
• Biomedical Engineering
• +3 more

Naomi Deneke is a President's Postdoctoral Fellow at the School of Materials Science and Engineering, Georgia Institute of Technology. She also serves as Secretary of the MSE Association of Research Scientists and Postdoctoral Fellows. Her research focuses on interdisciplinary materials science, with a strong emphasis on adhesion mechanisms, biomedical applications, and additive manufacturing. Key areas include pressure-tunable adhesives, self-assembled materials, and bioink development for tissue engineering. Her work bridges physics, chemistry, and biology to explore soft matter phenomena, with applications in smart materials and mechanoresponsive systems. Recent studies involve electric poling techniques for piezoelectric materials and modular robotic systems for tissue characterization. Publications highlight innovations in adhesive systems, surface engineering, and mechanophore design. Deneke’s contributions span from fundamental material science to applied biomedical solutions, reflecting her commitment to advancing functional materials through interdisciplinary collaboration.

• Polymer Synthesis
• Nanoparticle Characterization
• Copolymer Self-Assembly
• +5 more

Loai K.E.A. Abdelmohsen is an Assistant Professor at the Department of Chemical Engineering and Chemistry, Eindhoven University of Technology (TU/e), Netherlands. He holds dual affiliations with the Bio-Organic Chemistry research group and the ICMS Core member program. His academic background includes a Master’s (2013) and PhD (Bio-Organic Chemistry group, Radboud University) focused on copolymer-based supramolecular assemblies and functional properties like motility. Since 2017, he has led a research team exploring dynamic systems mimicking biological complexity, particularly in nanomedicine and artificial cell design. Research Interests: Polymer synthesis, nanoparticle characterization, copolymer self-assembly, shape transformations, and micro/nanomotors. His work emphasizes creating supramolecular systems with autonomous motion capabilities, with applications in drug delivery and biomimetic engineering. Recent Research Trends: His 2023–2025 publications focus on polymersome engineering, photothermal nanodrugs, and biomimetic cargo systems. Notable advancements include targeted nanomotors for cancer therapy and hybrid photodynamic/photothermal therapies. Awards/Grants: No explicit awards listed, but his work aligns with UN SDGs related to affordable healthcare and responsible consumption. Active collaborations include projects on tumor biodistribution and nanomotor mobility control. Advising & Teams: Supervises PhD students and postdocs in TU/e’s Bio-Organic Chemistry group. Leads development of smart compartments for medical applications, collaborating internationally on nanomedicine and synthetic biology. Labs/Teams: Core member of ICMS (Industrial and Chemical Molecular Science) and part of TU/e’s Chemical Engineering & Chemistry faculty, contributing to courses like Experimental Soft Matter and Instrumental Analysis .