Find Academic Supervisors

• Robotics
• Mechatronics
• Ferrofluids
• +3 more

Zoran Cenev holds a Tenure Track Assistant Professor position within the Mechatronics and Dynamics section of the Department of Mechanical and Production Engineering at the School of Engineering, Aarhus University. His primary institutional affiliation is with AU Engineering, and contact details include email zoran.cenev@mpe.au.dk and telephone +45 20 64 75 44, with office location Aarhus N, 5128-140. Research interests focus on interdisciplinary applications of magnetic and robotic systems: Robotic micromanipulation via electromagnetic needles Ferrofluid-based biofabrication for skeletal muscle engineering Laser-induced photothermal droplet control Theoretical modeling of particle dynamics at fluid interfaces Surface engineering for underwater metallic stability Nanostructure formation through ion bombardment His recent publications (2023-2025) reveal a dominant trend in adapting ferrofluids for biomedical automation, particularly 3D bioprinting of magnetically responsive tissues and droplet manipulation on engineered surfaces. This work bridges mechanical engineering with regenerative medicine, emphasizing practical implementations of theoretical models for microscale precision. Scientific awards are not documented in the provided information. As a faculty member, Dr. Cenev likely mentors graduate students and pursues research grants, though specific advisees or funding details are absent. Departmental laboratories and workshops support his experimental work in mechatronics, with emphasis on magnetic manipulation systems and surface characterization.

Franziska Mathis-UllrichView profile

Professor

• Surgical Robotics
• Medical Robotics
• Artificial Intelligence in Medicine
• +3 more

Prof. Dr. Franziska Mathis-Ullrich is a Professor at Friedrich-Alexander-University Erlangen-Nuremberg (FAU) leading the Surgical Planning and Robotic Cognition Lab (SPARC) in the Department of Artificial Intelligence in Biomedical Engineering. Previously, she was an Assistant Professor at Karlsruhe Institute of Technology (KIT) from 2019 to 2023. Her research focuses on minimally invasive robotic systems, soft robotics, and embedded machine learning for surgical applications. She holds a PhD in Microrobotics from ETH Zurich (2017), with earlier degrees from the same institution. Education: B.Sc. and M.Sc. in Mechanical Engineering and Robotics (ETH Zurich, 2009–2012) Ph.D. in Microrobotics (ETH Zurich, 2017) Research Interests: Minimally invasive medical robotics, soft robotic systems, AI-driven surgical assistance, microrobotics, and robot-assisted surgery. Her work emphasizes translating robotics innovations into clinical applications through interdisciplinary collaboration. Key Awards: IEEE ICRA Best Paper Award in Medical Robotics (2014) IEEE BioRob Best Student Paper Award (2016) ICRA Microassembly Challenge First Prize (2014 & 2015) Forbes 30 under 30 (2017) Grants & Projects: Leading a Bavarian State Ministry-funded project on endometriosis diagnostics (€3M). Active in multidisciplinary collaborations with Erlangen University Hospital. Serves as Vice-President of the German Society for Computer- and Robot-assisted Surgery (CURAC). Labs & Teams: Directs the SPARC Lab, which develops cognitive robotic systems for surgical planning and execution. Collaborates with institutions like Max Planck, Fraunhofer, and Helmholtz.

Islam S. M. KhalilView profile

Associate Professor

• Microrobotics
• Magnetic Nanorobotics
• Motion Control Systems
• +5 more

Islam S. M. Khalil is an Associate Professor in the Robotics and Mechatronics (RAM) research group at the University of Twente, holding dual affiliations within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) and the Faculty of Engineering Technology (ET). His educational background: Master's degree in Mechatronics Engineering Doctoral degree in Mechatronics Engineering Dr. Khalil's research centers on microrobotics with emphasis on motion control systems for soft and biologically-inspired microrobots. His work integrates magnetic field physics, propulsion mechanics, and mechatronic design principles to develop untethered micro/nanorobots. Key application domains include targeted drug delivery systems, precision microassembly, and micro/nanomanipulation techniques. His research bridges fundamental physics with biomedical engineering to solve complex challenges in minimally invasive procedures. He previously served as Director of the Medical Micro and Nanorobotics Laboratory at the German University in Cairo and completed a post-doctoral fellowship at the University of Twente's MIRA Institute. Currently, he contributes to the Surgical Robotics team within the Biomechanical Engineering department and the TechMed Centre.

Michael FillerView profile

Associate Professor

• Nanoscale Materials
• Semiconductor Nanowires
• Nanowire Plasmonics
• +3 more

Michael Filler is Associate Professor at Georgia Tech's School of Materials Science and Engineering and Traylor Faculty Fellow in Chemical & Biomolecular Engineering. His Filler Lab specializes in nanoscale materials synthesis and deployment for electronic, photonic, and energy technologies. Research focuses on: Nanowire synthesis using in situ spectroscopy to understand atomic-level growth mechanisms Engineering nanowire structure via precursor design for heterostructures and doping control Semiconductor nanowire plasmonics for infrared light manipulation Scalable manufacturing through innovations like the Geode process for high-throughput production His work bridges fundamental chemical understanding with practical applications in energy and electronics. Research has been supported by NSF, DOE, DARPA, SRC, and Schmidt Futures.

• Spiking Neural Networks
• Memristors
• Neuromorphic Computing
• +5 more

Jean Tomas is an Associate Professor at the University of Bordeaux, affiliated with the Laboratoire de l'intégration, du matériau au système (IMS). He is a member of the Bioelectronics research group and Team 2HC within IMS, a prominent research laboratory focused on materials, systems integration, and micro/nanoelectronics. His work bridges the gap between theoretical neural models and practical hardware implementations. Dr. Tomas's research focuses on neuromorphic engineering with particular emphasis on spiking neural networks and memristive systems. His work spans from fundamental circuit design of biomimetic neurons to practical applications in low-power computing and intelligent sensors. He has made significant contributions to the hardware implementation of spiking neural networks using memristive technologies, exploring how these systems can achieve efficient computation with minimal energy consumption. His research also extends to electronic microassembly processes and power electronics. The analysis of his publication record reveals a consistent trajectory from early work on analog neural circuit design toward increasingly sophisticated neuromorphic systems. His recent publications demonstrate expertise in mixed-mode spiking neural networks, passive memristive arrays, and their application to neuromorphic cameras. His work addresses critical challenges in hardware neural networks, including the effects of line resistance in crossbar arrays and strategies for on-the-fly learning in resource-constrained environments. Dr. Tomas actively collaborates with researchers across multiple institutions, including CNRS@CREATE Ltd. and various university laboratories. His work has been supported by significant research initiatives including ANR-19-CHIA-0003 (GrAI - Green Artificial Intelligence) and the European Project ULPEC (Ultra-Low Power Event-Based Camera). He is deeply involved in the Bioelectronics research ecosystem at IMS, contributing to both fundamental research and practical applications. His work connects circuit design with system-level implementation, particularly in the development of energy-efficient neuromorphic sensors that can process information at the edge of computing networks.

Sinan HaliyoView profile

Professor

• Robotics
• Micromanipulation
• Haptics
• +8 more

Sinan Haliyo is a Professor at the Institute of Intelligent Systems and Robotics (ISIR), Sorbonne University, Paris, where he leads the 'Multiscale Interactions' research team. His academic career spans over two decades, with significant contributions to robotics, particularly in micromanipulation, haptics, and human-computer interaction. Dr. Haliyo earned his Doctorate from Pierre and Marie Curie University in 2002 with a thesis on "Adhesion forces and dynamic effects for micromanipulation," supervised by Prof. Jean-Claude Guinot. In 2019, he obtained his Habilitation to Direct Research (HDR) from Sorbonne University with the thesis "Multi-Scale Interactions," demonstrating his capacity to lead independent research and supervise doctoral candidates. His research broadly focuses on robotics and interactivity—designing teleoperated robots for specific applications and developing systems that allow operators to perceive what they are controlling through haptic and multimodal interfaces. Starting with microrobotics in the late 1990s, his work has expanded to encompass human-robot interaction, haptics, virtual reality, and human-machine interfaces. His multidisciplinary approach involves collaboration with roboticists, psychologists, neuroscientists, and biologists. Analysis of his recent publications (2023-2025) reveals a strong focus on optical microrobotics, biomedical applications, and haptic interfaces. His team is advancing techniques for precise micro-manipulation using optical tweezers combined with deep learning, developing medical microrobots for applications like biliary procedures and in vitro fertilization, and creating innovative haptic interfaces for surgical training and virtual reality. The research spans multiple disciplines including robotics, biomedical engineering, computer vision, and neuroscience. IROS'09 Best application Mechatronics Journal 2010 Triennal Best paper MARSS 2019 Best Paper World Haptics 2021 Best ToH Short Paper Hon. Ment. ISOT 2021 Best Student Paper INTERACT 2021 IFIP TC13 Pioneers' Award for Best Doctoral Student Paper Dr. Haliyo has supervised 14 theses to completion with 6 currently in progress, representing a total supervision rate of 390% (approximately 60% per thesis on average throughout his career). He has coordinated multiple significant research projects including ANR IOTA (Interactive Optical Tweezers), ANR OptoBots, and 3BIOT (Robotic Optical Tweezers for Biology). His research is funded by Sorbonne University, the Ile-de-France Region, ANR grants, and private companies including Percipio Robotics, Robeauté, and Segula. As leader of the Multiscale Interactions team at ISIR (since January 2019), Dr. Haliyo oversees a research group comprising 4 faculty members, 4 researchers, and 15 PhD students. Previously, he animated the Microrobotics group within the ISIR interaction team (2016-2019) and has been responsible for the ISIR Assisted Micromanipulation Platform since 2015, which serves as a node of the CNRS National Micro-Nanorobotics Platform and recipient of the Labex Robotex.

• Soft/Wet Microrobotics
• Microtechniques
• Nose-to-Brain Drug Delivery
• +3 more

Pierre LAMBERT is a Professor at the Université Libre de Bruxelles (ULB) in the TIPs Department within the Faculty of Sciences. His research focuses on Soft/Wet Microrobotics, Microtechniques, and Nose-to-Brain Drug Delivery systems, with particular expertise in surface tension based micromanipulation technologies. His primary research interests include: Soft/Wet Microrobotics Surface Tension Based Micromanipulation Active Matter for Soft Robotics Medical Robotics applications Nose-to-Brain Drug Delivery systems Professor LAMBERT's research has produced significant innovations including the ThermoBot platform for air-water interface manipulation, which enables precise control of micro-objects without on-board actuators. His recent work demonstrates applications in microassembly operations and directed self-assembly of micro-components, with potential applications across biomedical engineering and micro-manufacturing. His research group has received notable recognition including the Artistic Excellence Award at the 2020 Sci-On! film festival for 'Stardust Odyssey,' featuring the smallest 3D stop-motion animation character. This work was also highlighted by the French CNRS and Belgian broadcast BX1, with a cover feature in Actuators journal. Professor LAMBERT actively organizes major international conferences including the International Workshop on Active Matter series and MARSS conferences. He currently co-organizes the MARSS'2024 conference with TU/Delft and serves as Topic Editor for Frontiers' research topic on 'Soft Robotics at Small Scales.' He is recruiting Master's students for internships and thesis work, and encouraging PhD and Postdoc candidates to apply for FNRS grants with FRIA deadlines in August and PhD/Postdoc grant deadlines in January.

• Microelectronics
• Nanotechnology
• Microelectromechanical Systems
• +6 more

Ludivine Fadel is an Associate Professor at the Institute of Materials and Systems (IMS) at the University of Bordeaux, affiliated with the WAVES research group and the DEVICES, MATERIALS, ZEROPOWER team. Her work bridges academic research with industrial applications through collaborations with organizations including STMicroelectronics, Stellantis, Thales, NXP, and CEA. Her research expertise spans: Micro and Nanotechnologies Microelectromechanical Systems (MEMS) RFID Sensor Development Energy Harvesting Systems Organic and Printed Electronics Microcantilever-Based Biosensors Dr. Fadel's research demonstrates a strong trajectory from fundamental microsystem mechanics to practical sensor applications. Her recent work focuses on ultra-low power wireless sensors capable of operating at extremely low energy thresholds (-28dBm), representing significant advances in energy harvesting technology. She has developed innovative fabrication techniques for organic microcantilevers using sacrificial layers and flip-chip adaptations, enabling new biosensing applications. Her scientific contributions include: Advancements in microcantilever clamping mechanics Development of tunnel diode-based RFID sensors Innovations in printed electronics through the TAMIS platform Educational frameworks for electronics manufacturing Dr. Fadel maintains active collaborations with international research institutions including LAAS, Marquette University, and Georgia Tech. Her laboratory work focuses on zero-power technologies and sustainable electronic solutions, with applications spanning healthcare monitoring, industrial IoT, and environmental sensing systems.

• Robotics
• Artificial Intelligence
• Mechatronics
• +6 more

Dr. Theodoros Theodoridis serves as Associate Professor (Reader) in Robotics and Intelligent Systems and Head of the Department of Aeronautical and Mechanical Engineering at the University of Salford's School of Science, Engineering & Environment. He leads the Intelligent Mobility research area at the North England Robotics Innovation Centre (NERIC) and is a key member of the Autonomous Systems and Advanced Robotics (ASAR) research group. His research has secured over £1.8 million in funding from EC FP5-7, EPSRC, MRC, Innovate UK, and the Regional Growth Fund. Dr. Theodoridis completed his academic training with the following qualifications: BEng in Automation Engineering from Technological Educational Institute of Piraeus, Greece MSc in Embedded Systems and Robotics from University of Essex, UK PhD in Intelligent Crime-Recognition Surveillance Robots from University of Essex, UK His research spans three primary domains with significant technical depth. In Service Robotics, he develops specialized robots including nurses, maids, guards, companions, and entertainers. His Artificial Intelligence work integrates classical AI, machine learning, deep learning, fuzzy logic, and probabilistic reasoning to create intelligent robotic systems. His Embedded Systems and Mechatronics expertise covers mechanical modeling, electronic/PCB design, and embedded programming, with applications across multiple disciplines. Recent publications (2023-2025) demonstrate a strategic shift toward practical applications in healthcare rehabilitation and industrial automation. His work on cable-driven exosuits and soft sensors for gesture recognition addresses critical challenges in upper limb rehabilitation. Earlier research (2018-2020) established foundational work in pneumatic actuators and continuum robotics that now informs his current applied research directions. His publications consistently bridge theoretical robotics with real-world implementation across medical, manufacturing, and construction sectors. Dr. Theodoridis maintains active industry collaborations that translate research into practical solutions. His grant portfolio demonstrates consistent success in securing competitive funding across multiple research councils and funding bodies. As an educator, he teaches Mechatronics, Advanced Embedded Systems, Mobile Robotics, and supervises final year projects and dissertations. His leadership extends to directing departmental operations while maintaining an active research program through the Centre for Future Engineering and NERIC.

• Robotics
• Micromanipulation
• Biomedical Engineering
• +2 more

Houari Bettahar serves as an Academy Research Fellow at Aalto University within the School of Electrical Engineering and Department of Electrical Engineering and Automation. His research profile is hosted by Aalto University, with contact details including email houari.bettahar@aalto.fi and phone +358504440301. Dr. Bettahar's research spans Robotics, Micromanipulation, and Biomedical Engineering , focusing on precision manipulation at micro/nano scales. Key areas include: Development of robotic systems for fiber fabrication and cell adhesion studies Creation of low-cost platforms like FilMBot for high-speed micromanipulation Integration of AI and computer vision for robotic control optimization Electromagnetic manipulation of particles for biomechanical analysis Biomimetic approaches to material property enhancement Analysis of his 15 most recent publications (2020-2025) reveals a dominant focus on robotic micromanipulation applied to fiber-based systems and biological interactions. His work consistently integrates electromagnetic actuation , soft robotics , and Bayesian optimization to solve challenges in material science and biomedical engineering, with notable emphasis on cost-effective instrumentation and real-time force control. No scientific awards were mentioned in the provided text. Information regarding student advising and research grants was not found in the provided materials. Dr. Bettahar is affiliated with the Robotic Instruments research group at Aalto University, which specializes in developing robotic solutions for microscale manipulation challenges across biomedical and industrial applications.

Nikolai DechevView profile

Associate Professor

• Electro-mechanical System Design
• Biomedical Devices
• Robotics and Automation
• +7 more

Nikolai Dechev is an Associate Professor in the Department of Mechanical Engineering at the University of Victoria. His work focuses on electro-mechanical systems with applications in biomedical devices, robotics, and microsystems. Educational Background: Ph.D. in Mechanical Engineering (University of Toronto) Professional Engineer (P.Eng) Research Interests span biomedical systems design, robotics, MEMS, and mechatronics. Current projects include: Non-invasive ultrasound sensors for tendon motion analysis in prosthetics Implantable wireless EMG sensors for prosthetic control Miniature neural stimulation/sensing systems for stroke/spinal injury research Machine vision-driven robotics for MEMS microassembly and cell manipulation Multi-DoF hand/wrist prostheses with advanced user-control methods Expertise encompasses mechatronic design, FEM simulation, sensor development, and automation. Collaborations extend to biological sciences for in-vitro and in-vivo studies. Laboratory Affiliations: Biomedical Design & Systems Laboratory Navigation Content Quick links (Biomedical Engineering) Biomechanics and Instrumentation Laboratory (BaIL) Orthopaedic Technologies & Biomechanics Lab UVic Biomedical Engineering Design Student Team (UVic BMED)

Yuning LeiView profile

Researcher

• Robotics
• Nanotechnology
• Control Engineering
• +3 more

Dr. Yuning Lei is a Research Associate at the Department of Computing Science, Carl von Ossietzky University of Oldenburg, Germany. He specializes in nanorobotics, microassembly, and nanocharacterization techniques. Bachelor's in Environmental Measurements (University of Orleans, 2017) Master's in Robotics and Automation (University of Orleans, 2019) Ph.D. in Engineering Science (University of Bourgogne Franche-Comté, 2023) His research focuses on nanocharacterization of liquid metal , microassembly in SEM-FIB environments , and development of large workspace nanorobotic structures . Based in the Division Microrobotics and Control Engineering, he works in the AMiR research group at the University of Oldenburg.

Gregor BurkhardView profile

Professor

• Manufacturing Processes
• Material Design
• Production Design
• +5 more

Prof. Dr. Gregor Burkhard is a Professor at the University of Applied Sciences Northwestern Switzerland (FHNW), where he serves as Head of the Master of Science in Engineering (MSE) program and leads the Mechanical Engineering profile. He is affiliated with the School of Engineering and the Environment and teaches manufacturing processes at the Institute for Product and Production Engineering. His PhD dissertation at ETH Zurich (2001) focused on optimizing single-layer abrasive tools. His research encompasses: Advanced manufacturing techniques including forming technology and machine elements Material- and production-friendly design principles Automated assembly systems (Design For Automated Assembly) Precision tooling and surface engineering applications His publications emphasize abrasive machining innovations, material science applications in manufacturing, and precision engineering solutions. Recent work explores shape memory alloys for microassembly and optimized abrasive tool configurations. Significant recognition includes: Ypsomed Innovation Award 2016 (First Prize, CHF 30,000) for developing satellite construction technology He led the EU-funded EUPASS project (2004-2010) on ultra-precision assembly systems and holds four patents in lightweight structures and abrasive tool manufacturing.

Eihab Abdel-RahmanView profile

Professor

• MEMS and NEMS sensors and actuators
• Energy harvesting and micro-power generation
• Nonlinear dynamics
• +8 more

Professor Eihab Abdel-Rahman is a distinguished faculty member in the Department of Systems Design Engineering at the University of Waterloo's Faculty of Engineering. He has been with the university since 2005, progressing from Assistant Professor to his current position as Professor. His academic journey began with a BSc in Mechanical Engineering from Kuwait University in 1988, followed by an MSc (1991) and PhD (1997) in Engineering Mechanics from the University of Toledo. Abdel-Rahman's research spans multiple cutting-edge domains with a primary focus on nonlinear dynamics of electromechanical and biomechanical systems. His work has led to significant contributions in MEMS/NEMS sensors and actuators, micro-power generation, and workplace ergonomics. He has developed innovative approaches to modeling and simulation of micro and nano electromechanical systems, identifying important phenomena such as the 'dynamic pull-in' instability in electrostatic MEMS devices. His research has resulted in practical applications including wideband micro-power generators (with 200-600% improved bandwidth), threshold-type mass sensors, and novel RF MEMS switches. His recent publications demonstrate continued innovation across multiple fronts, from electrostatic actuation techniques to biomechanical applications in construction safety. The article trends show a consistent focus on nonlinear dynamics applied to both MEMS technology and human biomechanics, reflecting his dual expertise in mechanical systems and biological applications. His work bridges fundamental dynamics research with practical engineering solutions. Engineering Research Excellence Award, Faculty of Engineering, University of Waterloo, 2014 Discovery Accelerator Supplement, Natural Sciences and Engineering Research Council of Canada, April 2011 Outstanding Research Assistantship, Department of Mechanical, Industrial and Manufacturing Engineering, University of Toledo, July 1995 Professor Abdel-Rahman has supervised numerous graduate students across multiple disciplines, with research supported by substantial grants from NSERC, CFI, ORF, and industry partners. His laboratory work focuses on MEMS test and characterization, with applications spanning energy harvesting, sensing technology, and biomechanical monitoring. Current research directions include advanced micro-power generation techniques, novel sensing mechanisms, and ergonomics applications for workplace safety.

Zihua WangView profile

Academic

• Cancer Biology
• Molecular Genetics
• Next-Generation Sequencing
• +3 more

Zihua Wang is a Research Assistant Professor at Cold Spring Harbor Laboratory (CSHL), leading the Wang Laboratory. He holds a Ph.D. from the National University of Singapore (2008). His research focuses on developing and applying next-generation sequencing technologies for cancer studies, including early detection, prognosis, and minimal residual disease monitoring. Key areas include microsatellite length measurement, chromosomal instability analysis, and embryo genotyping via cell-free DNA sequencing. His work emphasizes translating technologies into clinically actionable tests, such as the MASQ platform for leukemia detection. Collaborations with clinical partners and the Wigler lab have advanced applications in cancer diagnostics and genetic disorder research. Research interests include genomic instability, drug resistance mechanisms, and the role of de novo mutations in neurodevelopmental disorders like autism. He has co-developed methods such as SMASH for genomic copy number analysis and contributed to CRISPR-based drug target discovery. His interdisciplinary approach bridges molecular biology, bioinformatics, and clinical applications, with a focus on advancing precision medicine.