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Tanveer Ul IslamView profile

Research Fellow

• Microfluidics
• Artificial Cilia
• Biomimetics
• +2 more

Dr. Tanveer Ul Islam is a Research Fellow in the Microsystems group at Eindhoven University of Technology, with a joint affiliation at EPFL Switzerland. His research develops artificial cilia systems to model biological processes and disease mechanisms, particularly ciliopathies. His core research areas include microfluidic device development, magnetic actuation systems, bioinspired sensors, and nanomaterial engineering. Dr. Islam's work bridges microengineering with biomedical applications through biomimetic approaches. Dr. Islam's research outputs focus on magnetic artificial cilia systems, with recent advances in programmable metachronal motion and curved-surface applications. His work demonstrates progression from fundamental fluid dynamics to applications in sweat sensing and organ-on-chip technologies, emphasizing manufacturability through novel fabrication techniques.

• Neuromorphic Computing
• Vector Symbolic Architectures
• Reinforcement Learning
• +7 more

Michael Furlong is an Adjunct Assistant Professor at the University of Waterloo. His research bridges neuroscience and computer science, focusing on neuromorphic computing , vector symbolic architectures , and autonomous robotic systems . He has contributed to frameworks like Neurobench for evaluating neuromorphic algorithms and developed models for cognitive processes such as visual attention and action specification. Email: michael.furlong@uwaterloo.ca Research Interests : His work explores biologically plausible computation , spiking neural networks , and Bayesian optimization . Publications highlight autonomous exploration , terrain classification , and information-gathering strategies for planetary missions. Collaborative projects emphasize fair benchmarking and robust adaptive recovery in robotic systems. Recent Trends : Recent articles focus on hyperdimensional computing , probabilistic neuromorphic programming , and multi-modal active perception . These studies integrate category theory , dynamic modeling , and semantic processing to advance neuromorphic hardware and cognitive architectures. Key Collaborations : Participated in planetary exploration initiatives, including lunar rover simulation and icy moon landing site selection , combining Wald's sequential probability ratio test for fault tolerance and neural predictive control for robotic chassis reconfiguration.

G. KrijnenView profile

Professor

• Transducers Science
• Biomimetic Sensors
• 3D Printing
• +4 more

G. Krijnen is a Full Professor at the University of Twente , affiliated with the MESA+ Research Institute , Digital Society Institute , and TechMed Centre . His academic career spans transducers science, biomimetic sensors, and additive manufacturing for biomedical applications. Education : M.Sc. in Electrical Engineering with honours (University of Twente, 1988) Doctorate degree with honours (University of Twente, 1992) Research focuses on transducer science (parametric/nonlinear transduction), biomimetic MEMS , and 3D-printed sensor systems . Key contributions include cricket-inspired flow sensors (BioEARS project), conductive 3D printing for biomedical devices, and anisotropic material analysis in fused filament fabrication. Recent publications highlight work at the intersection of 3D printing , biomimetic design , and biomedical engineering , with applications in prosthetic monitoring and muscle contraction prediction via dual-attention frameworks. Scientific Awards : 1993 Veder Price from Dutch Electronics and Radio Engineering Society (NERG/KIVI) 2021 Best Paper Award at IEEE Sensors Applications Symposium (SAS) 2021 Best Student Paper Award Active in TST group (chaired 2011-2015), with ongoing leadership in MEMS design and bioinspired transducers research. Collaborates extensively in robotics, healthcare technology, and sustainable materials science.

• Soft Robotics
• Hydraulic Systems
• Actuation Technologies
• +3 more

Miaomiao Liu is a Researcher at the University of Bath, affiliated with the Department of Mechanical Engineering and The Foundry: Centre for Digital Manufacturing & Design. Her research focuses on soft robotics, hydraulic systems, and bioinspired mechanisms. She contributes to UN Sustainable Development Goals through her work on innovative actuation technologies and functional materials. Her recent research explores hydraulic valve designs inspired by vascular structures and bioinspired actuation in soft robotic crawlers. These studies emphasize interdisciplinary approaches combining fluid dynamics, materials science, and robotics. Miaomiao has published peer-reviewed work in journals like Advanced Science and presented conference papers. Her work has been cited and shared widely, including 8 readers on Mendeley.

• Structural Health Monitoring
• Vibration Control
• Statistical Energy Analysis
• +3 more

Antonio Culla is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Sapienza University of Rome. His research focuses on structural health monitoring, vibration control, and nonlinear dynamics. He specializes in applying advanced analytical techniques to mechanical systems, robotics, and biomedical engineering. His work includes developing algorithms for damage detection in infrastructure and studying collective behavior in biological systems like bird flocks. Culla also explores energy harvesting from vibrations and acoustic optimization in aerospace structures. Key projects include the SUNMARE marine vehicle and OPTYRE tire performance analysis. His methodologies combine statistical energy analysis (SEA), machine learning, and experimental validation. He has contributed to interdisciplinary fields such as biomechanics, robotics, and materials science, with a strong emphasis on real-world applications in automotive, aerospace, and civil engineering sectors.

• Biophysics
• Medical Biotechnology
• Nanotechnology for Life Sciences
• +5 more

Professor Björn Högberg leads the Department of Medical Biochemistry and Biophysics at Karolinska Institutet. His work focuses on biophysics , medical biotechnology , and nanotechnology , with applications in nanomedicine, drug delivery, and cellular signaling. He develops DNA origami nanostructures for targeted therapies, diagnostic tools, and fundamental biological studies. Research highlights include programmable DNA nanorobots, antibody migration modeling, and extraction-free SARS-CoV-2 RT-PCR testing. His lab explores Nanopatterned ligands for Notch signaling Myeloid cell-targeted therapies Wireframe DNA carriers for platinum drugs Publications emphasize interdisciplinary approaches in Nature Nanotechnology , Nature Computational Science , and ACS Nano . His work bridges molecular engineering, computational modeling, and biomedical applications. Group members and collaborations drive innovations in single-molecule imaging , therapeutic nanorobotics , and cellular microenvironment mapping .

• Plant Biology
• Synthetic Biology
• Biomechanics
• +4 more

Dr. Naomi Nakayama is an Associate Professor in the Department of Bioengineering at Imperial College London, leading the Biological Form and Function Lab within the Faculty of Engineering. She specializes in interdisciplinary research exploring the design principles of biological structures, particularly focusing on plant morphology and functional materials. Her work integrates cell and developmental biology, synthetic biology, biomechanics, and material sciences to address challenges in sustainable agriculture and green technology. Nakayama holds a PhD in Molecular, Cellular, and Developmental Biology from Yale University and has held prior positions as a Royal Society University Research Fellow and Chancellor’s Fellow at the University of Edinburgh. Her research emphasizes the application of biophysical and synthetic approaches to understand and engineer plant forms and functions, with affiliations to key institutions like the Centre for Synthetic Biology and the Institute for Molecular Science and Engineering. Her research trends reflect a focus on plant developmental biology, synthetic biology tools, and biomechanical adaptations, as evidenced by recent publications on seed dispersal mechanisms, synthetic multicellularity, and gene regulatory networks. Her lab’s work bridges fundamental biology with practical applications, such as bio-inspired robotics and sustainable agriculture solutions. Nakayama’s contributions include pioneering the Mobius Assembly framework for DNA assembly in plant systems and advancing understanding of environmental morphing in plants. Her research is supported by collaborative grants and has led to innovations in plant tissue engineering and functional materials.

Xiaogan LiangView profile

Professor

• Advanced Nanofabrication
• Nanomanufacturing
• Microsystem Technologies
• +7 more

Professor Xiaogan Liang is a faculty member in the Department of Mechanical Engineering at the University of Michigan, Ann Arbor, and serves as Associate Chair for Undergraduate Education. His research focuses on advanced nanofabrication, nanomanufacturing, and microsystem technologies, with applications in nanoelectronics, nanophotonics, and biosensing systems. He leads the Nanoengineering and Nanodevice Laboratory and holds a tenured position. Liang has been recognized with awards such as the Monroe-Brown Education Excellence Award (2018-19) and the NSF CAREER Award (2015). His work bridges nanotechnology and biomedical engineering, emphasizing scalable fabrication techniques and neuromorphic computing hardware. Education and Career: Liang joined the University of Michigan in 2012 as an Assistant Professor, advancing to his current rank. His academic background includes expertise in mechanical engineering and nanotechnology. Key research contributions include novel 2D material-based biosensors, memristive devices, and plasmonic systems for real-world applications. Research Interests: His lab develops nanoscale fabrication methods (e.g., nanoimprint lithography) for creating high-performance devices like MoS₂ photodetectors and Bi₂Se₃ memristors. Applications span environmental monitoring, medical diagnostics, and energy-efficient robotics. Recent innovations include brain-inspired computing hardware for robotics and bioinspired sensors for viral detection. Publications: Over 150 peer-reviewed articles highlight his work on neuromorphic systems, plasmonic colorimetric sensing, and scalable nanoassembly. Notable 2020-2025 publications address reservoir computing hardware, site-selective 2D material growth, and airborne particle monitoring systems. Awards: Monroe-Brown Award (2018), NSF CAREER (2015), CoE Awards (2016) Grants: Supported by NSF, U-M, and industry partnerships Advising: Mentors graduate students (e.g., Hongsuk Nam, Sungjin Wi) in nanofabrication and biosensor development. Collaborates with Professors Katsuo Kurabayashi and Allen Liu on interdisciplinary projects. Labs/Teams: Directs the Nanoengineering and Nanodevice Laboratory, fostering cross-disciplinary research in nanotechnology and biomedical engineering. Engages in collaborative efforts with materials science and electrical engineering groups.

• Biofluid Dynamics
• Biomechanics
• Medical Device Development
• +4 more

Morteza Gharib is the Hans W. Liepmann Professor of Aeronautics and Medical Engineering at the California Institute of Technology (Caltech), holding the Booth-Kresa Leadership Chair in the Center for Autonomous Systems and Technologies (CAST). He serves as Director of the Graduate Aerospace Laboratories (GALCIT) and CAST, overseeing research in autonomous systems, fluid dynamics, and biomedical engineering. His academic roles include Vice Provost at Caltech (2010-2016) and leadership in institutes like the Linde Institute (2014-2015). Education: B.S. from Teheran University (1976), M.S. from Syracuse University (1978), and Ph.D. from Caltech (1983). His career has spanned roles from Assistant Professor (1992) to his current named chair. Research interests focus on biofluid dynamics, biomedical device innovation (e.g., heart valves, cardiovascular monitoring), and autonomous robotics. He develops technologies inspired by biological systems, such as aquatic propulsion and aerial morphing robots. His lab also advances flow diagnostics like real-time PIV systems and machine learning-driven pressure waveform analysis. Key achievements include the Ronald J. Adrian Award (2023) for contributions to flow visualization. His work bridges aerospace and medical engineering, emphasizing cross-disciplinary solutions. Current projects involve bioinspired robots, turbulence control, and non-invasive health monitoring systems. Labs/Teams: Directs GALCIT and CAST, leading interdisciplinary teams in robotics, fluid dynamics, and biomedical engineering. Collaborates with industry and academic partners on advanced systems like the ATMO morphing robot and cardiovascular device prototypes.

Francesco Giorgio-SerchiView profile

Senior Lecturer

• Soft Robotics
• Aquatic Propulsion
• Computational Fluid Dynamics
• +4 more

Dr. Francesco Giorgio-Serchi is a Senior Lecturer at the School of Engineering (University of Edinburgh), affiliated with the Scottish Microelectronics Centre and the Soft Systems Group . His research focuses on soft-bodied underwater robotics , aquatic propulsion , and model-predictive control systems for challenging marine environments. He leads the Biomimetic-joint-thrust system for underwater propulsion project and collaborates with institutions across Japan, Italy, and the UK. PhD in Computational Fluid Dynamics (University of Leeds, 2011) Laurea in Marine Science & Technology (University of Pisa, 2006) Research interests span soft robotics , bioinspired propulsion , and marine energy harvesting , with recent work on tactile sensing via electrical impedance tomography and dielectric elastomer sensors . His publications address topics like continuum manipulators , disturbance rejection algorithms , and spider-inspired actuators for extraterrestrial applications. Scientific Awards Marie-Curie Early Stage Training (EST) Fellowship Marie-Curie European Reintegration Grant (ERG) NERC 'technology proof-of-concept' grant Lloyd's Register Foundation sponsorship He supervises PhD students in areas like marine renewable energy and autonomous underwater vehicle design , with projects sponsored by the Edinburgh Centre for Robotics . His collaborations include the Endorobotics Lab (Tokyo Tech), Flexible Robotics Lab (Tsukuba), and Human-Robot Informatics Lab (Tohoku University).

Adam A StokesView profile

Professor

• Robotics
• Physical Chemistry
• Electrical Engineering
• +5 more

Adam A. Stokes is a Professor and Personal Chair in Bioinspired Engineering at the University of Edinburgh's School of Engineering. He serves as Head of the Institute for Bioengineering, Deputy Director of the CDT in Robotics and Autonomous Systems, and leads the interdisciplinary Soft Systems Group with approximately 20 researchers. His academic background includes degrees in engineering, biomedical science, and chemistry. Research focuses on robotics, physical chemistry, electrical engineering, materials science, nanotechnology, optics, proteomics, and cell biology. His work bridges fundamental science and applied engineering with recent publications covering fluidic soft systems, underwater robotics, battery technology, and pandemic-related manufacturing solutions. Honors include the DDE Academic Entrepreneurship Award (2021) and Principal's Award for Innovation (2020). He actively contributes to professional communities as an Associate Editor for IEEE Robotics and Automation Letters and member of the UK-RAS Network Executive Committee.

Andrew WeightmanView profile

Professor

• Medical devices and assistive technologies
• Rehabilitation Robotics
• Next Generation Healthcare Technology
• +5 more

Andrew Weightman is a Professor of Medical Mechatronics in the Department of Mechanical and Aerospace Engineering at The University of Manchester. His research focuses on medical devices, rehabilitation robotics, and next-generation healthcare technologies. He holds affiliations with the Manchester Biomanufacturing Centre and contributes to initiatives like the RAI Centre for Robotics and Artificial Intelligence. Weightman's work addresses clinical challenges such as diabetic foot ulcer prevention, tracheostomy device innovation, and bio-engineered bone scaffolds. His academic background includes a PhD in 2006 on smart structure control systems, later pivoting to healthcare applications. Key achievements include NHS Medipex award finalist recognition, a 2010 Best Paper Award from the Journal of Engineering Design, and citations by NICE for user engagement excellence. He leads projects funded by grants such as SORO-MADE (soft robotic mannequin development) and contributes to interdisciplinary collaborations across engineering, medicine, and robotics. Research interests span bio-engineering, innovative manufacturing, and modelling/simulation. He supervises postgraduate research in areas like bio-manufacturing and medical robotics. Notable grants include contributions to the RAI Centre, focusing on autonomous systems and human-robot interaction. His work aligns with UN Sustainable Development Goals, particularly in advancing health technologies. Awards and recognitions include the 2021 Bionow Digital Award finalist and multiple peer-reviewed accolades. His research portfolio includes over 60 publications and 6 active/granted projects, emphasizing translational healthcare solutions.

Daniela RusView profile

Professor

• Robotics
• Artificial Intelligence/ML
• Data Science
• +5 more

Daniela Rus is the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL). She leads research in robotics, AI/ML, and autonomous systems, emphasizing soft robotics, mobile computing, and data-driven solutions. Her work spans theoretical and applied domains, including self-reconfiguring robots, AI for healthcare, and transportation optimization. Education: Earned her PhD in Computer Science from Cornell University. Recognized as a 2002 MacArthur Fellow, ACM Fellow, IEEE Fellow, and member of the National Academy of Engineering and American Academy of Arts and Sciences. Research focuses on robotics (soft robots, modular systems), AI applications (neural networks, generative models), and societal impacts (autonomous vehicles, data privacy). Projects include the Robot Garden educational platform, M-block modular robots, and AI-driven traffic optimization systems. Her lab, CSAIL, fosters interdisciplinary innovation across computer science, engineering, and biology. Publications highlight breakthroughs in robot design, algorithmic efficiency, and human-robot interaction. Current efforts explore AI for environmental monitoring, surgical robotics, and ethical autonomous systems. CSAIL hosts 100+ research groups, including the Distributed Robotics Lab and Embodied Intelligence Community.

KHOO Boo CheongView profile

Professor

• Fluid Mechanics
• Computational Fluid Dynamics
• Numerical Methods
• +7 more

Professor KHOO Boo Cheong is a faculty member in the Department of Mechanical Engineering at the National University of Singapore (NUS), affiliated with the College of Design and Engineering. He holds a BA (Hons.) from the University of Cambridge (1980), an MEng from NUS (1984), and a PhD from MIT (1989). His research focuses on Computational Fluid Dynamics (CFD) , Numerical Methods , and Fluid Mechanics , with applications to aerodynamics, turbulence, and fluid-structure interaction. Recent work emphasizes machine learning integration in CFD, bio-inspired UAV design, and icing mechanics for aerospace systems. Key research trends include advancing high-fidelity simulations for complex flows (e.g., turbulence modeling, cavitation suppression), optimizing fluid-structure systems (e.g., lightweight shells, train aerodynamics), and developing novel experimental techniques (e.g., light field PIV, wind spectra analysis). His contributions bridge theoretical CFD innovations with practical engineering challenges in transportation, renewable energy, and robotics. Professor Khoo collaborates on projects involving pressure gain combustion systems , ventilated supercavitating models , and quantum algorithms for fluid dynamics . His lab’s work often combines advanced numerical modeling with experimental validation, addressing real-world issues like wind effects on trains, ice accretion on airfoils, and autonomous navigation systems.

Mark CutkoskyView profile

Professor

• Robotics
• Biomimetics
• Tactile Sensing
• +5 more

Mark Cutkosky is the Fletcher Jones Professor in the School of Engineering at Stanford University. His research focuses on bioinspired robotics, tactile sensing, and advanced manufacturing. He leads the Biomimetics and Dexterous Manipulation Lab, developing innovative robotic systems for applications in healthcare, space exploration, and industrial automation. Education: PhD in Mechanical Engineering, Carnegie Mellon University (1985) Research Interests: Cutkosky designs robots and sensors inspired by biological systems, such as gecko-inspired adhesives and whisker-like tactile sensors. His work emphasizes practical applications, including MRI-compatible teleoperators for medical procedures, miniature implantable sensors for cardiac monitoring, and robots for Martian cave exploration. He also explores soft robotics, haptic interfaces, and rapid prototyping tools. Key Projects: ReachBot: A compact robot for extreme environments like Martian lava tubes Gecko-inspired adhesives for space and industrial gripping VITALS: Implantable sensor networks for post-surgical cardiac care Grants & Labs: His lab has pioneered tactile sensor networks and bioinspired design frameworks. Current work includes collaborative projects on surgical robotics, biomedical devices, and materials science.