Jan Knippers is a Professor and Institute Director at the University of Stuttgart's Faculty of Architecture and Urban Planning , leading the Institute of Building Structures and Structural Design (ITKE) . He co-founded Knippers Helbig Advanced Engineering and established Jan Knippers Ingenieure in 2018 to focus on innovative fiber composite and timber structures. Key roles: Deputy Executive Director of Cluster of Excellence IntCDC , former Vice-Rector for Research (2019-2021), and Dean of Faculty of Architecture (2021-2023) Technical focus: Hybrid FRP-Timber systems, computational design, and biomimetic principles His projects include the 2024 Hybrid Flax Pavilion , Urbach Tower (2024), and BUGA Fiber Pavilion (2019). He contributes to European standardization committees and serves as 2024 Leverhulme Visiting Professor at University College London.
Jeffrey Guasto , Associate Professor at Tufts University, holds joint appointments in the School of Engineering (Mechanical Engineering) and School of Arts and Sciences (Physics & Astronomy). His work bridges engineering, physics, and biology to study transport properties in complex systems. Ph.D., Engineering (2009), Brown University Sc.M., Engineering (2004), Brown University Dual B.S. in Physics and Mechanical Engineering (2003), Lehigh University Research Interests focus on: Biophysics : Flagellar mechanics, chemotaxis, cell-fluid interactions Soft Matter : Active suspensions, colloids, viscoelastic materials Microfluidics : Device design for cell motility studies and gradient generation Environmental Transport : Microbial ecology in porous systems Scientific Trends from his 77+ publications show emphasis on microscale fluid dynamics, bacterial transport mechanisms, and viscoelastic flow instabilities. His 2024 Nature Microbiology work reveals phage-infected bacteria driving marine chemotaxis, while 2023 PNAS research explores stress topology in viscoelastic flows. Scientific Awards : NSF CAREER Award (2016) for cell dispersal mechanisms Collaborative NSF grants (2015-2023) Advising includes mentoring 15+ students and postdocs. His grants portfolio features 9+ awards, notably NSF grants for viral-microbe interactions (2018) and flagellar mechanics (2020). Labs & Teams : Leads the Guasto Laboratory at Tufts, integrating microfluidics and high-speed imaging for studying microbial transport, while collaborating with MIT, Harvard, and international institutions.
Karthik Menon serves as an Assistant Professor with a joint appointment in the Woodruff School at Georgia Institute of Technology and the Coulter Department of Biomedical Engineering. His research integrates fluid mechanics, computational modeling, and data-driven methodologies to address critical challenges in healthcare, renewable energy, and bio-inspired engineering systems. His academic credentials include: Ph.D. in Mechanical Engineering, Johns Hopkins University (2021) M.S. in Mechanical Engineering, Johns Hopkins University (2019) B.E. in Mechanical Engineering, Birla Institute of Technology and Science, Pilani, India (2015) Menon's research program centers on three interconnected domains: cardiovascular flows for personalized treatment of heart disease, fluid-structure interactions in biological systems like heart valves and bio-mimetic robots, and vortex-dominated flows for renewable energy applications. His approach combines high-fidelity computational modeling with machine learning to uncover fundamental physics and develop clinical solutions, such as cardiovascular digital twins for non-invasive risk assessment. Current projects focus on patient-specific hemodynamics using CT imaging and uncertainty quantification to improve surgical planning. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on advancing multi-fidelity computational frameworks for cardiovascular applications. Key trends include Bayesian uncertainty quantification, zero-dimensional solver development, and integration of clinical imaging data to create predictive digital twins. His work bridges fluid dynamics with clinical cardiology, targeting improved outcomes in coronary artery disease and Kawasaki-related complications through physics-informed machine learning. Menon's scholarly contributions have been recognized through competitive awards: WCCM-PANACM 2024 Travel Award, U.S. Association for Computational Mechanics (2024) Future Faculty Symposium Travel Award, Society of Engineering Science Conference (2023) Mark O. Robbins Prize in High-performance Computing, Johns Hopkins University (2021) Corrsin-Kovasznay Outstanding Paper Award, Johns Hopkins University (2020) Prosperetti Travel Award, Johns Hopkins University (2017) Mechanical Engineering Departmental Fellowship, Johns Hopkins University (2016) As principal investigator of the ComBiNE Fluid Dynamics Lab, Menon mentors graduate students in developing computational tools for fluid-structure interaction problems. His collaborative projects with cardiologists at Stanford and Emory hospitals translate engineering principles into clinical applications for cardiovascular disease management. Current grant activities focus on NSF and NIH-funded initiatives for uncertainty-aware cardiovascular modeling and bio-inspired flow energy harvesting. The ComBiNE Fluid Dynamics Lab operates as an interdisciplinary hub where engineers, clinicians, and data scientists collaborate on fluid mechanics challenges. Current lab initiatives include developing real-time hemodynamic simulators for surgical planning, creating reduced-order models for cardiac device optimization, and investigating vortex dynamics in fish schooling for underwater vehicle design. The lab maintains strong partnerships with Children's Healthcare of Atlanta and the Parker H. Petit Institute for Bioengineering and Bioscience.
Lara A. Estroff is a Full Professor and the current Chair of the Department of Materials Science and Engineering at Cornell University's College of Engineering. She has been a faculty member since 2005 and served as Director of Graduate Studies from 2015 to 2019. Her academic leadership and research excellence position her at the forefront of bio-inspired materials and biomineralization research. Her educational background includes a B.A. in Chemistry from Swarthmore College (1997) and a Ph.D. in Chemistry from Yale University (2003), followed by an NIH-funded postdoctoral fellowship at Harvard University in the lab of Prof. George M. Whitesides. Dr. Estroff's research centers on the fundamental mechanisms of crystal growth, biomineralization, and pathological mineralization. She investigates how organisms control mineral formation and applies these principles to engineer synthetic materials with complex structures and functionalities. Her work spans biomaterials, tissue engineering, and energy materials—particularly hybrid organic-inorganic perovskites for photovoltaics. She employs advanced characterization techniques and has pioneered in situ methods to monitor crystallization dynamics. Her recent publications reveal a strong trend toward interdisciplinary research, integrating materials science with cancer biology, immunology, and machine learning. The articles emphasize bio-inspired synthesis, mineral-tissue interactions, and the development of functional crystalline materials for medical and energy applications. Faculty Early CAREER Award, National Science Foundation (2009) Fiona Ip Li '78 and Donald Li '75 Excellence in Teaching Award, Cornell College of Engineering (2007) Marilyn Emmons Williams Award, Cornell Undergraduate Research Board (2009) Keynote Speaker, Gordon Research Seminar on Biomineralization (2012) Lawrence Berkeley National Lab Affiliate (2013) Dr. Estroff leads a major DOE-funded project titled “Formulation Engineering of Energy Materials via Multiscale Learning Spirals,” a $3 million, three-year initiative using machine learning to optimize perovskite synthesis for solar cells. She has advised numerous graduate students and postdoctoral researchers, and her lab is known for fostering collaborative, cross-disciplinary research. She has also contributed to educational initiatives at Cornell, particularly in undergraduate research and materials education. Her research group operates at the intersection of chemistry, engineering, and biology, focusing on high-resolution characterization of biominerals, in situ crystal growth studies, and the design of in vitro models for cell-mineral interactions. The lab actively collaborates with institutions including Lawrence Livermore National Laboratory, National Renewable Energy Laboratory, and Johns Hopkins University.
Suyi Li is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering, where he leads the Dynamic and Architected Robot and structurE (DARE) Lab. Previously, he served as an Assistant Professor at Clemson University from 2016-2022 after completing postdoctoral research at the University of Michigan. Ph.D. in Mechanical Engineering, University of Michigan, Ann Arbor (2014) M.Sc. in Mechanical Engineering, Pennsylvania State University (2008) B.S. Summa Cum Laude in Mechanical Engineering, University of Michigan, Ann Arbor (2006) Dr. Li's research focuses on pioneering new paradigms of intelligent robots and functional structures by exploiting the interplay between geometry, mechanics, actuation, and computation. His work spans origami-inspired morphing structures, physically computing materials that perform machine learning tasks without traditional electronics, and soft/reconfigurable robots that can move like animals or grow like plants. His innovative approach combines mechanical engineering principles with computational thinking to create systems with 'mechano-intelligence'. Analysis of Dr. Li's recent publications reveals a strong trajectory toward embodied intelligence and mechanical computing, where physical structures themselves perform computational tasks. His work increasingly integrates origami/kirigami principles with advanced materials to create systems that can sense, process information, and actuate without conventional electronics. The research shows progression from fundamental mechanics of adaptive structures to sophisticated applications in robotics and computing. Dean's Awards of Excellence – Faculty Fellow, Virginia Tech (2024) C.D. Mote Jr Early Career Award, ASME Design Engineering Division (2022) Gary Anderson Early Achievement Award, ASME Aerospace Division (2021) Junior Researcher of the Year Award, College of Engineering, Clemson University (2020) CECAS Dean's Faculty Fellow, Clemson University (2018) CAREER Award, National Science Foundation (2018) ASME Freudenstein Young Investigator Award Dr. Li has secured nearly two million dollars in research funding, including the prestigious NSF CAREER award and an NSF EFRI project to build mechano-bio hybrid reservoir computers. He advises multiple Ph.D. and Master's students in the DARE Lab, with recent successes including Vishrut Deshpande's Ph.D. defense. His research has generated close to 80 journal and conference papers, demonstrating significant impact in the fields of adaptive structures and materials systems. Dr. Li also serves on editorial boards for several prominent journals including Journal of Intelligent Material Systems and Structures and Philosophical Transactions of the Royal Society A. The DARE Lab at Virginia Tech comprises a multidisciplinary team of researchers working on origami-inspired meta-structures, physically computing materials, and soft robotics. Current projects include developing electronics-free crawling robots with mechanical central pattern generators, creating kirigami-based wearable medical devices, and engineering metamaterials with programmable mechanical properties. The lab actively collaborates with institutions across the country and has received recognition for its innovative approaches to combining mechanical design with computational capabilities.
Jim Torresen is a Professor at the Norwegian University of Science and Technology (NTNU), specializing in Computer Science, Artificial Intelligence, and Robotics. He earned his M.Sc. and Dr.ing. (Ph.D.) in computer architecture and design from NTNU in 1991 and 1996 respectively, followed by industry experience in hardware design before transitioning to academia in 1999. Research Interests: His work spans Machine Learning, Evolvable Hardware, and Ethical AI, with notable contributions to music technology, facial expression recognition, and healthcare monitoring systems. He actively explores interdisciplinary applications of AI in creative domains and clinical environments. Publications & Editorial Roles: Torresen has published extensively in journals like Frontiers in Artificial Intelligence and Genetic Programming and Evolvable Machines . He serves as a Topic Editor for Frontiers in Explainable AI and has editorial roles in robotics and biomedical AI domains.
Renate Sachse is a Researcher and Responsible Investigator at the Chair of Structural Analysis, Technical University of Munich (TUM), under Prof. Kai-Uwe Bletzinger. She holds a Dr.-Ing. from the University of Stuttgart and has held postdoctoral positions at Harvard University (Bertoldi Lab) and TU Munich's Institute for Computational Mechanics. Her research focuses on biomimetic adaptive structures, biomechanics, and smart materials. Education M.Sc. in Civil Engineering (University of Stuttgart, 2014) – Thesis: "Isogeometric Contact Analysis of Thin-Walled Structures" B.Sc. in Civil Engineering (University of Stuttgart, 2011) – Thesis: "Elementary School Pavilion Structural Analysis" Study Abroad: École Spéciale des Travaux Publics (ESTP, France, 2012) Research Interests Her work integrates principles from biology and mechanics to design adaptive structures, including motion design, soft robotics, and active metamaterials. Notable projects include studying snapping mechanisms in plants (e.g., Venus flytrap) and developing bio-inspired systems like Flectofold shading devices. She also explores isogeometric analysis and structural optimization for thin-walled and slender structures. Grants & Awards Bertha Benz Prize 2022 (Daimler and Benz Foundation) Klaus Tschira Boost Fund Fellowship (€80,000 interdisciplinary grant) 3rd Place AVK-Prize for Innovations (2017, Flectofold Shading System) GAMM Juniors Fellowship (2020–2022) Teaching & Grants She teaches advanced finite element methods and nonlinear mechanics at TUM and has supervised projects in computational mechanics. Her grants include CareerDesign@TUM funding and the Klaus Tschira Fellowship for high-risk, interdisciplinary research. Labs & Teams Associated with the Chair of Structural Analysis at TUM, collaborating on projects like livMatS (Living Materials Systems) and the Harvard SEAS Bertoldi Lab. Involved in software development (e.g., Carat++, Kiwi!3d) and third-party initiatives (CoDA, FlexWing).
Prof. Heinz Koeppl is a Professor in the Department of Electrical Engineering and Information Technology at TU Darmstadt. His research focuses on self-organizing systems, systems biology, and control theory, with applications in synthetic biology, robotics, and stochastic processes. He explores interdisciplinary topics such as genetic circuit design, UAV swarm dynamics, and machine learning-driven modeling of biochemical systems. Key research areas include the development of deep learning frameworks for kinetic modeling, Bayesian optimization for riboswitch design, and mean field control theory for sparse networks. His work bridges theoretical foundations with practical engineering solutions, addressing challenges in molecular communication, gene regulation, and robotic swarm coordination. Publications from 2023–2025 highlight advancements in bio-inspired algorithms, swarm intelligence, and computational biology. Notable contributions include studies on RNA-based circuits, active matter dynamics, and optimization strategies for large-scale systems. His research emphasizes interdisciplinary collaboration, leveraging tools from electrical engineering, mathematics, and life sciences. No scientific awards are explicitly listed in the provided text. Advising and grants details are not available. Prof. Koeppl’s lab focuses on integrating systems biology approaches with engineering principles to solve complex problems in healthcare, environmental sustainability, and technological innovation.
Robert F. Shepherd is an Associate Professor and Director of Graduate Studies for Mechanical Engineering at Cornell University's College of Engineering. He holds appointments in Aerospace Engineering, Fiber Science, Materials Science, Mechanical Engineering, Systems Engineering, and Theoretical and Applied Mechanics. Educational background: B.S. Material Science & Engineering, University of Illinois (2002) M.B.A. General Management, University of Illinois (2009) Ph.D. Material Science & Engineering, University of Illinois (2010) His research focuses on disruptive manufacturing technologies (3D printing, microfluidics) and functional materials for novel devices. He develops soft actuators mimicking biological functions and enhances fabrication techniques for efficient biomimetic machines. His work bridges materials innovation with robotic applications. Publications primarily explore soft robotics, biomimetic systems, and advanced manufacturing, with consistent emphasis on material behavior and actuator design across diverse applications. Scientific awards: Senior Member, National Academy of Inventors (2022) ONR Young Investigator (2016) Cornell Engineering Teaching Award (2016) Extreme Mechanics Letters Award (2016) NAE FOE Fellow (2016) NAS KAVLI Fellow (2016) Leads the Shepherd Group Research Laboratory and Organic Robotics Lab, focusing on soft material systems and bio-inspired machines.
Maartje Bastings is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL) , leading the Programmable Biomaterials Laboratory (PBL) within the School of Engineering (STI) . She holds additional affiliations with the Institute of Materials (IMX) , IBI-STI (Bioengineering), and supervises doctoral programs in Biotechnology and Biological Engineering ( EDBB-GE ) and Materials Science and Engineering ( EDMX-GE ). Her research focuses on DNA-based supramolecular materials engineered to achieve dynamic reciprocity —a two-way interaction between synthetic materials and biological systems. By leveraging DNA as a programmable scaffold, she investigates structural mechanics, valency control, and geometric constraints governing self-assembly and cell communication at bio-interfaces. Key applications include immune system modulation, diagnostics , and vaccine development . Analysis of her 15 most recent publications reveals a focus on multivalent interactions for T-cell activation, spatial patterning in immune signaling, and engineered coatings for DNA origami stability. Subfields span T cell receptor engineering , nanoscale protein dynamics , stimuli-responsive biomaterials , and bio-inspired therapeutic design . PhD Students: Chen Yuduo Hendrickx Pauline Bart M. Kononenko Artem Li Shujie Lou Yameng Meyer Pitt Narita Minako Rousseau Benjamin Bila Hale Caroprese Vincenzo Comberlato Alice Kurisinkal Eva Eugene Paloja Kaltrina Rodríguez Franco Hugo José Tekin Cem Wong Siu Ho Contact: maartje.bastings@epfl.ch
Akio Kodaira is affiliated with the Institute of Science Tokyo as a researcher. His work focuses on soft robotics, mechatronics, and advanced actuator design using materials like IPMC (Ionic Polymer-Metal Composites) and flexible fuel cells. Primary institution: Institute of Science Tokyo Research Interests Kodaira's research spans the development of soft robots, thin-film actuators, and bio-inspired mechanical systems. Key areas include IPMC fabrication techniques, energy-efficient actuators using Au/Pt electrodes, and 3D crafts using paper/fabric materials. Publication Trends Recent publications emphasize soft robotics, material hybridization (e.g., paper/fabric-assisted IPMC), and flexible fuel cell applications. His collaborations with researchers like Koichi Suzumori and Hiroyuki Nabae highlight interdisciplinary efforts in mechatronics and mechanical engineering. Collaborations Frequent co-authors include Koichi Suzumori (Professor, Institute of Science Tokyo), Kinji Asaka , and Hiroyuki Nabae . Projects involve thin-film robotics, McKibben muscles, and simulator-based navigation software.
Boxin Zhao is a Professor and University of Waterloo Endowed Chair in Nanotechnology in the Department of Chemical Engineering at the University of Waterloo. His research spans surface science, bionanomaterials, and biomimetic adhesion, with a focus on advanced polymers, hydrogels, and smart materials for biomedical and industrial applications. He leads the Surface Science and Bio-nanomaterials Laboratory Group, which develops innovative materials such as self-cleaning surfaces and antimicrobial coatings. Education: Doctorate in Chemical Engineering, McMaster University (2004); Master's from Chinese Academy of Sciences (1999); Bachelor's in Mineral Engineering from Central South University (1996). He has held prestigious fellowships, including the NSERC Postdoctoral Fellowship and IMMS Research Fellow at UC Santa Barbara and Los Alamos Lab. Research Interests: Biomimetic adhesion, soft robotics, polymer composites, and advanced manufacturing. Notable contributions include gecko-inspired adhesives, self-healing hydrogels, and conductive polymers for electronics. Recent work focuses on 3D-printed medical hydrogels, soft robotic devices, and microplastic degradation. His lab collaborates with industries like Proctor & Gamble and 3M, addressing real-world challenges in materials science and biomedical engineering. Awards: 1996 IET Scholarship, 2005 NSERC Postdoctoral Fellowship, 2007 IMMS Research Fellow. Teaching: CHE 313 (Heat/Mass Transfer), CHE 612 (Interfacial Phenomena). Lab Facilities: Advanced equipment for nanomaterial synthesis, surface characterization, and soft robotics prototyping.
Professor Bing Chu is an academic at the University of Southampton, actively contributing to research in control systems, robotics, and machine learning. They are a member of the Vision, Learning and Control Centre for Internet of Things and Pervasive Systems and the Centre for Robotics, focusing on interdisciplinary approaches that combine control theory with data-driven methodologies. Current research interests include: Iterative learning control Human-robot interaction Wind farm power optimization Robot behavior modeling Control system architectures Collaborative learning systems Recent publications highlight trends in data-driven control systems, human-robot interaction datasets, and optimization techniques for both continuous-time systems and wind energy applications. Professor Chu supervises multiple PhD students across robotics and electronic engineering, including Balint Gucsi, Haonan Shen, and Aleksander Wolski, while leading projects funded by Zhengzhou University and the Royal Society.
Amit Lal is a Professor in the School of Electrical and Computer Engineering at Cornell University, with affiliations in Biomedical Engineering, Applied Engineering Physics, and Mechanical and Aerospace Engineering. He is a member of key research centers including Cornell CCMR, NBTC, and KAUST-CU. Education: B.S. in Electrical Engineering, California Institute of Technology, 1990 Ph.D. in Electrical Engineering, University of California, Berkeley, 1996 Prof. Lal's research focuses on the development of integrated microsystems using micro- and nanoscale fabrication. His work spans ultrasonic MEMS, low-power IoT sensors, atomic microsystems, and bio-robotics. He directs the SonicMEMS Laboratory, advancing technologies in GHz ultrasonics, inertial sensing, and chip-scale manipulation of particles. His interdisciplinary interests include biomedical imaging, solid-state devices, nanotechnology, and plasma science. His recent publications highlight innovation in energy harvesting, MEMS gyroscopes, and biologically integrated systems. The works reflect strong trends in autonomous sensing, miniaturized power sources, and hybrid bio-electromechanical systems, particularly for medical and navigation applications. Scientific Awards and Honors: NSF CAREER Award Whitaker Foundation Award Department of Defense Exceptional Service Award Best Program Manager Award, DARPA IEEE Ultrasonics and Frequency Control Symposium Best Paper Award IEEE NEMS Best Paper Award Robert M. Scharf 1977 Professor, Cornell Engineering HHMI Visiting Scientist, Janelia Farms Intel Fellowship (awarded to advisee) Prof. Lal has advised numerous students who have gone on to win awards and publish impactful research. He has secured significant research funding through DARPA and other agencies, managing and initiating multiple high-impact programs. His leadership extends to service on technical committees for IEEE conferences and journals, including Transducers and the IEEE Sensors Council. He has also contributed to academic recruiting within ECE. He leads the SonicMEMS Laboratory , a multidisciplinary research group focused on transforming sensing, communication, and computation at the microscale. The lab fosters collaboration across engineering and life sciences, pushing the boundaries of what integrated microsystems can achieve.
Prof. Dr. Metin Sitti is a leading academic and researcher currently serving as Director at the Max Planck Institute for Intelligent Systems and affiliated faculty at Carnegie Mellon University's Robotics Institute and Koç University's Schools of Medicine and Engineering. His interdisciplinary work bridges robotics, materials science, and biomedicine. His research interests center on medical microrobotics , bio-inspired robotics , and physical intelligence , exploring how intelligent behaviors can emerge from material properties and system design. He leads the Physical Intelligence Research Group , pioneering novel approaches in soft and micro-robotic systems. The scientific publications attributed to Prof. Sitti span diverse areas including micro-robotic locomotion, stimuli-responsive materials, and collective behavior in synthetic systems. Though specific titles are not listed, his body of work consistently contributes to robotics, nanotechnology, and biomedical engineering. Rahmi M. Koç Science Award ERC Advanced Grant IEEE Fellow National Science Foundation CAREER Award SPIE Nanoengineering Pioneer Award IEEE/ASME Best Mechatronics Paper Award Robotics: Science and Systems Conference Best Paper Award IEEE/RSJ Intelligent Robot Systems Conference Best Paper and Video Awards IEEE Robotics and Automation Conference Best Paper and Video Awards IEEE Robotics and Biomimetics Conference Best Paper and Video Awards Prof. Sitti has secured major grants including the ERC Advanced Grant and NSF CAREER Award, supporting high-impact research in intelligent materials and robotic systems. He has mentored numerous researchers and students across institutions, though specific advisees are not listed. His entrepreneurial initiative led to the founding of nanoGriptech Inc. in 2009, commercializing gecko-inspired microfiber adhesives. He leads the Physical Intelligence Department at the Max Planck Institute, where his team develops novel robotic materials and microsystems that exhibit intelligence through physical design rather than computation alone.
