جست‌وجوی استاد و پژوهشگر

• Neuromorphic Computing
• Organic Electronics
• Bioelectronics
• +۳ مورد دیگر

Paschalis Gkoupidenis is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University (since August 2024) and a Group Leader at the Department of Molecular Electronics at the Max Planck Institute for Polymer Research. His research focuses on developing organic neuromorphic devices for neuro-inspired information processing, learning, sensing, and bio-interfacing. Research Interests Dr. Gkoupidenis specializes in hardware-based implementation of neuromorphic architectures, which offer efficient ways of data manipulation and processing, especially in data-intensive applications. His work explores how organic materials and devices can be used for neuro-inspired devices and bioelectronics, leveraging their attractive characteristics such as ability to operate in electrolytes, spatiotemporal response, analogue memory phenomena, tunability via chemical synthesis, low-cost fabrication processes, and biocompatibility. His research group investigates various concepts for inducing neuroplasticity, learning forms, and spatiotemporal information processing functions at a single-device level, as well as new paradigms of neuromorphic architectures at circuit level. These neuro-inspired functions are essential for trainable/adaptable circuits in energy-restricted environments and for local signal processing in bioelectronics. Scientific Contributions Development of organic neuromorphic devices for neuro-inspired information processing Research on synaptic plasticity functions in organic electrochemical transistors Exploration of neuromorphic device architectures with global connectivity through electrolyte gating Investigation of functional connectivity of organic neuromorphic devices by global voltage oscillations Advancement of organic neuromorphic devices for adaptive sensing and novel computing paradigms in bioelectronics Affiliations Associate Professor, Department of Electrical and Computer Engineering, North Carolina State University (since August 2024) Group Leader, Organic Neuromorphic Electronics, Max Planck Institute for Polymer Research (since 2017) Postdoctoral Researcher, Department of Bioelectronics, EMSE, France (2015-2017)

• Energy Harvesting
• Piezoelectric Materials
• Biomedical Engineering
• +۳ مورد دیگر

Lin Dong is an Assistant Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). His research focuses on advanced energy harvesting technologies, particularly in piezoelectric materials, flexible electronics, and their biomedical applications. He leads a federally funded project (NSF grant) titled Membranous Energy Harvester with Tuning Capability for Flexible Electronics , which explores energy harvesting systems for wearable and implantable devices. His research interests include the design of self-powered sensors, piezoelectric hydrogels, and nature-inspired nanofibers for health monitoring. Notable contributions include amphibious energy generators, helical piezoelectric hydrogels for human-machine interfaces, and flexible sensors for cardiac monitoring. His work bridges materials science, biomedical engineering, and mechanical systems, with applications in smart health and wearable technology. Dr. Dong’s publications (29+ articles) emphasize energy harvesting innovations, with 16+ citations. His articles highlight trends in flexible, bio-integrated energy systems and multimodal sensing. He collaborates on projects involving body sensor networks and tunable energy harvesters for flexible electronics. He has secured a 2021 NSF grant (PI) and generated media attention for advancements in flexible energy harvesting and nanofiber research. His lab develops cutting-edge materials and devices for sustainable energy solutions and healthcare applications.

Xin Ningمشاهده پروفایل

استادیار

• Soft electronics for aerospace engineering
• Bio-inspired aerospace structures
• In-space manufacturing and assembly
• +۱ مورد دیگر

Xin Ning is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC), where he also holds appointments in the Materials Research Laboratory. Previously, he served as an Assistant Professor at Pennsylvania State University from 2018 to 2023. His academic journey includes postdoctoral research at UIUC and California Institute of Technology (Caltech). Educated at Caltech, he earned a Ph.D. in Aeronautics in 2015 and an M.S. in Aeronautics in 2010. His research focuses on soft electronics for aerospace engineering , bio-inspired aerospace structures , in-space manufacturing and assembly , and multifunctional space structures . These interests drive innovations in lightweight, adaptive, and multifunctional materials and systems for aerospace applications. For instance, his work explores bio-inspired cellular materials for aircraft wings and bistable composite booms for deployable structures. He has been recognized with several honors, including the 2022 Young Investigator Award from the Office of Naval Research, 2019 Haythornthwaite Foundation Research Initiation Award, 2015 William F. Ballhaus Prize from Caltech, and the 2012 Dow-Resnick Fellowship. In addition to research, Professor Ning teaches courses such as AE 323: Applied Aerospace Structures and AE 498: Space Structures . While specific grants are not detailed here, his work has been supported through awards like the ONR Young Investigator grant. He collaborates with the Materials Research Laboratory at UIUC and engages in interdisciplinary projects involving soft electronics and bio-inspired engineering.

Qiu, Jingjingمشاهده پروفایل

دانشیار

• Advanced Manufacturing
• Nanomaterials Synthesis
• Multifunctional Composites
• +۳ مورد دیگر

Dr. Jingjing Qiu is an Associate Professor in the Department of Mechanical Engineering at Texas A&M University (TAMU), leading the Advanced Materials & Manufacturing (AM²) Lab. Her research focuses on advanced manufacturing, nanomaterials, multifunctional composites, sustainable materials, energy harvesting, and healthcare applications. She holds a Ph.D. in Industrial & Manufacturing Engineering from Florida State University (2008), and M.S./B.S. degrees in Materials Science from Beihang University (2004/2001). Prior to academia, she gained 1 year of industrial experience as a Quality Engineer at SAIC Motor. Research interests include AI-driven nanomaterials synthesis, low-carbon manufacturing processes, and biomedical innovations such as drug delivery systems for brain tumors. The AM² Lab emphasizes interdisciplinary collaboration in materials science, data science, and sensor integration for energy and medical devices. Recent work highlights include AI-assisted microplastics removal, thermoelectric energy harvesting via graphene aerogels, and neuromorphic computing systems. Her team actively pursues postdoctoral and PhD candidates for research in energy/healthcare materials, requiring expertise in nanomaterials characterization (e.g., SEM, XPS, electrochemical techniques) and interdisciplinary problem-solving. Lab facilities support cutting-edge fabrication and testing of functional materials. Publications span over 15 years, with recent trends in sustainable manufacturing, soft robotics, and bio-inspired materials. Ongoing projects include DOE-funded initiatives on rare earth recycling and low-carbon ceramic production. No scientific awards are explicitly listed in the provided texts.

Kenneth Zickمشاهده پروفایل

استاد پژوهشی

• Unconventional computing
• Bio-inspired compute systems
• Ising machines
• +۷ مورد دیگر

Dr. Kenneth Zick is a Research Professor at the University of Southern California's Information Sciences Institute (USC ISI), where he serves as Research Director of Transformational Computing. His work focuses on game-changing computer architectures, hardware, and systems for solving critical government problems, with expertise in unconventional computing, quantum computing, and bio-inspired systems. Ph.D. in Computer Science & Engineering, University of Michigan-Ann Arbor M.S. in Electrical Engineering, University of Texas at Dallas Bachelor's in Electrical Engineering, University of Michigan-Ann Arbor Dr. Zick's research interests span unconventional computing , bio-inspired systems , Ising machines , quantum annealing , FPGA-based solutions , and neuromorphic computing . His group develops hardware-centric algorithm discovery and Cosm, a heuristic algorithm for sparse Ising optimization. Current projects include superconducting digital architectures, analog-digital hybrid computing, and human-AI co-design for breakthrough hardware. His team leverages advanced facilities such as USC ISI's MOSIS 2.0 and the California DREAMS hub in the DoD Microelectronics Commons, with expertise in high-speed I/O, FPGA prototyping, and radiation-hardened systems. He has received a NASA Fellowship for his Ph.D. work and mentored students like Aditi, who won the USC ECE Outstanding Academic Achievement Award.

Jonathan Boreykoمشاهده پروفایل

دانشیار

• Interfacial fluid mechanics
• Biomimetic engineering
• Phase-change heat transfer
• +۵ مورد دیگر

Jonathan Boreyko serves as an Associate Professor and John R. Jones III Faculty Fellow in Virginia Tech's College of Engineering, Department of Mechanical Engineering. His research integrates fluid dynamics, heat transfer, and biomimetic engineering to develop sustainable solutions for water and energy harvesting through innovations like Fog Harps and synthetic trees. Dr. Boreyko earned his Ph.D. in Mechanical Engineering from Duke University (2012), following an M.S. and B.S. in Mechanical Engineering and Physics from Trinity College (2007). His academic journey includes postdoctoral research at Oak Ridge National Laboratory and faculty appointments in Biomedical Engineering and Mechanics at Virginia Tech before transitioning to Mechanical Engineering. His research program centers on interfacial phenomena in micro/nano-structured materials, with core expertise in droplet dynamics, phase-change heat transfer (condensation, evaporation, boiling), and biomimetic water harvesting systems. The Nature-Inspired Fluids and Interfaces Lab examines how natural designs—from plant transpiration to insect surfaces—can inform engineered solutions for atmospheric water collection, anti-icing, and thermal management. Analysis of his 15 most recent publications reveals three dominant research thrusts: (1) biomimetic water harvesting systems (Fog Harps for atmospheric water collection), (2) thermal diodes leveraging droplet bridging for directional heat transfer, and (3) anti-clogging/anti-tangling mechanisms in fog harvesting meshes. These works consistently bridge fundamental fluid mechanics with practical sustainability applications. His scientific achievements include: John R. Jones III Faculty Fellow (2020) NSF CAREER Award for Thermal Transport Processes (2017) AFOSR Young Investigator Program Award (2016) 3M Non-Tenured Faculty Award (2016) Multiple best poster awards at APS, Gordon Research Conferences, and MRS meetings Dr. Boreyko has advised graduate students including Weiwei (Ph.D., 2020) and Viverjita (M.S., 2020), with research funded by NSF, AFOSR, and 3M. His lab maintains active collaborations with industry partners and national laboratories for technology translation. The Nature-Inspired Fluids and Interfaces Lab combines experimental fluid dynamics, materials characterization, and computational modeling to develop deployable systems. Current projects include scaling Fog Harps for real-world water harvesting, optimizing synthetic trees for passive desalination, and exploring jumping-droplet phenomena for thermal management in electronics.

Vikram Iyerمشاهده پروفایل

استادیار

• Robotics
• Ubiquitous Computing
• Sensing & Embedded Systems
• +۷ مورد دیگر

Vikram Iyer is an Assistant Professor at the Paul G. Allen School of Computer Science and Engineering and holds an Adjunct Appointment in Mechanical Engineering at the University of Washington. He co-directs the CS for Environment Initiative , focusing on interdisciplinary solutions that bridge computing, biology, and physical systems for environmental sustainability. Education : Ph.D. in Electrical & Computer Engineering (University of Washington), B.S. in Electrical Engineering and Computer Sciences (UC Berkeley) Research Interests revolve around bio-inspired wireless systems , environmentally sustainable electronics , and miniaturized autonomous robotics . His work includes: Biodegradable circuit boards Battery-free wireless sensors Insect-scale vision systems Wind-dispersed environmental monitors AI tools for sustainable design Article Trends highlight contributions to green hardware , energy-autonomous robotics , and environmental sensing networks , often integrating machine learning with physical world interaction . Awards include: NSF CAREER Award SIGMOBILE Dissertation Award Marconi Society Paul Baran Young Scholar Best Paper Awards (SIGCOMM 2016, Sensys 2018) Google/Amazon Research Awards Students advised include Kyle Johnson (NSF Fellow), Vicente Arroyos (GEM Fellow), and Qiuyue Xue (co-advised with Shwetak Patel). His lab collaborates with the Networks & Mobile Systems Lab and Urban Innovation Initiative .

• Embedded Systems
• System-on-Chip (SoC) Design
• Computer Architecture
• +۵ مورد دیگر

Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.

• Biomedical Engineering
• Medical Diagnostics
• Microelectronics
• +۴ مورد دیگر

Professor Pantelis Georgiou holds a faculty position in the Department of Electrical and Electronic Engineering at Imperial College London, leading the Bio-inspired Metabolic Technology Laboratory within the Centre for Bio-Inspired Technology. His research focuses on biomedical electronics, lab-on-chip technology, and micro-electronic medical devices. Key contributions include the bio-inspired artificial pancreas for diabetes treatment and CMOS-based pH sensors for DNA sequencing and infectious disease diagnostics. Education: 1st Class Honours MEng (2004) and PhD (2008) in Electrical & Electronic Engineering from Imperial College London. Professional roles include Head of Lab (2010), IEEE Distinguished Lecturer in Circuits and Systems, and Co-founder/Director of ProtonDx. Research interests span ultra-low power microelectronics, bio-inspired circuits, wearable technologies for chronic conditions, and antimicrobial resistance diagnostics. He has pioneered ISFET sensor integration and developed rapid diagnostic platforms for infectious diseases like dengue and mpox. Notable awards include the IET Mike Sergeant Medal (2013) and IEEE Sensors Council Technical Achievement Award (2017). Current projects involve AI-driven clinical decision support systems, antibiotic stewardship tools, and global health technologies for resource-limited settings. Affiliations include the CRUK Convergence Science Centre, Organ-on-chip Network, and Imperial College Network of Excellence in Malaria. His work bridges engineering and medicine, addressing global challenges through interdisciplinary innovation.

• Nanotechnology
• Materials Science
• Memristive Systems
• +۳ مورد دیگر

Dr.-Ing Alexander Vahl is a Researcher at the Technical Faculty of Kiel University, leading the subgroup Nanoparticles for Nanocomposites . He specializes in advanced materials science, focusing on nanoparticle synthesis, functional thin films, and neuromorphic engineering. His research bridges nanotechnology with applications in memristive systems and plasmonics, emphasizing strain-invariant conductors and photocatalytic growth mechanisms. Key projects include developing self-assembled nano-object networks for brain-inspired computing and optimizing gas aggregation cluster sources for novel material fabrication. His work spans disciplines such as memristive switching, plasmonic metasurfaces, and bio-inspired electronics. Notable contributions include studies on silver/polymer nanofluids, ITO-TiO₂ heterojunctions, and multicomponent nanoparticle synthesis. Vahl collaborates with the Chair for Functional Nanotechnology, leveraging interdisciplinary expertise to advance materials innovation. His articles highlight advancements in neuromorphic systems, photocatalytic deposition, and thin-film technologies. The research emphasizes scalability and real-world applications, such as energy-efficient sensors and hybrid zinc batteries. Vahl’s subgroup webpage and extensive publications reflect a commitment to pushing boundaries in nanomaterials engineering.

Robin Rasمشاهده پروفایل

استاد

• Superhydrophobic surfaces
• Wetting phenomena
• Droplet dynamics
• +۷ مورد دیگر

Robin Ras is a Professor and Head of Department at the Department of Applied Physics at Aalto University, where he leads the Soft Matter and Wetting research group. His work focuses on surface science, particularly superhydrophobic and superoleophobic materials, with applications spanning renewable energy, biomedical engineering, and agricultural science. Ras earned his Master's degree in Engineering and Technology from Catholic University of Leuven in 1999, followed by a Doctoral degree from the same institution in 2003. His academic journey has positioned him as a leading researcher in wetting phenomena and nanoscale surface engineering. His research interests center on understanding and manipulating liquid-solid interactions at micro and nanoscales. Ras's work explores how surface topography and chemistry affect wetting behavior, with particular focus on superhydrophobic surfaces, droplet dynamics, and liquid-repellent materials. His group develops innovative approaches for creating surfaces with controlled wettability for applications ranging from self-cleaning materials to advanced biomedical devices. The research trends evident in Ras's recent publications show a strong focus on precision control of liquid-solid interfaces, with increasing attention to underwater applications, molecular-scale surface engineering, and biomimetic approaches. His work bridges fundamental surface science with practical applications in energy, healthcare, and sustainability. Among his notable scientific achievements: Anton Paar Research Award for Instrumental Analytics & Characterization (2018) for Scanning Droplet Adhesion Microscopy invention Academy of Finland Research Fellow (2011-2016) ERC Consolidator Grant (2017) Ras has secured significant research funding including the ERC Consolidator Grant for the SuperRepel project (2017-2022) focused on superslippery liquid-repellent surfaces, and the Academy of Finland project 'Electric Field; an Active Method to Control Phase Change' (2019-2022). His research group actively collaborates with international institutions and industry partners to translate fundamental discoveries into practical applications. The Soft Matter and Wetting research group under Ras's leadership combines experimental and theoretical approaches to investigate surface phenomena. The team utilizes advanced imaging techniques, precision surface fabrication methods, and computational modeling to understand and engineer surfaces with tailored wetting properties. Their work has applications across multiple sectors including renewable energy, biomedical devices, and sustainable agriculture.

Mike Rubensteinمشاهده پروفایل

استادیار

• Swarm Robotics
• Multi-Robot Systems
• Decentralized Control
• +۳ مورد دیگر

Mike Rubenstein is an Assistant Professor with joint appointments in the Department of Computer Science and Department of Mechanical Engineering at Northwestern University. He holds the Lisa Wissner-Slivka and Benjamin Slivka Professorship in Computer Science and is affiliated with the Center for Robotics and Biosystems. His educational background includes a Ph.D. in Computer Science from the University of Southern California, an M.S. in Electrical Engineering from USC, and a B.S. in Electrical Engineering from Purdue University. Prior to joining Northwestern, he completed a postdoctoral fellowship at Harvard University's Self-Organizing Systems Research Group. Rubenstein's research focuses on advancing multi-robot systems to enable capabilities beyond traditional single robots, emphasizing parallelism, adaptability, and fault tolerance at scale (hundreds to millions of robots). His work spans swarm shape control, modular self-reconfigurable robotics, bio-inspired satellite constellations, and novel sensing for air vehicle swarms. Key themes include algorithmic control for large-scale systems and hardware innovations to overcome current limitations in swarm robotics. His advising has produced notable student achievements, including Petras Swissler's Best Student Paper Award at DARS 2021 and Drew Curtis's NDSEG Fellowship. Research trends across his publications reveal a consistent emphasis on scalability, real-world applicability, and bridging hardware constraints with algorithmic innovation in swarm systems. Rubenstein actively mentors graduate students and leads projects involving swarm robotics platforms like FireAnt and PCBot. His lab focuses on developing systems where simplicity in individual robots enables emergent complexity at the swarm level, with applications ranging from space exploration to medical imaging.

Davide Donadioمشاهده پروفایل

استاد

• Molecular Modelling
• Materials Science
• Thermal Transport
• +۴ مورد دیگر

Davide Donadio is a Professor of Chemistry at the University of California, Davis. His research focuses on molecular modeling and simulations of materials, particularly in non-equilibrium processes, thermal transport, and nanostructure assembly. He leads the Naotheory Group, which develops predictive multiscale models for energy-related materials. Education : Habilitation in Materials Science, Italian Ministry for University and Research (2013) Ph.D. in Materials Science, University of Milano (2003) M.S. in Physics, University of Milano (1998) Research Interests : His work spans molecular-level understanding of energy conversion, thermal management, and nanostructure formation. Key areas include phononics, thermoelectrics, and interfacial phenomena in materials like ice surfaces, semiconductors, and clathrates. He employs machine learning and first-principles methods to bridge simulation and experiment. Awards : UC Davis Hellman Fellow (2017–2018) Young Scientist Award, Italian Institute for the Physics of Matter (1998) Grants & Labs : His funding and collaborations drive advancements in nanostructured materials and computational tools like PLUMED tutorials. The Naotheory Group actively publishes in high-impact journals and collaborates internationally on thermal transport and materials design.

Elisabet Romeroمشاهده پروفایل

پژوهشگر

• Artificial Photosynthesis
• Solar Energy Conversion
• Ultrafast Spectroscopy
• +۷ مورد دیگر

Dr. Elisabet Romero is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ) , where she leads research in bio-inspired solar energy conversion . Her work focuses on designing chromophore-protein assemblies capable of efficiently converting sunlight into electrochemical energy, mimicking natural photosynthesis. She is supported by prestigious grants, including an ERC Starting Grant and a Marie Curie Fellowship . Education: PhD in Biophysics, VU Amsterdam (2011) Master’s in Chemistry, Institute of Advanced Chemistry of Catalonia BSc in Chemistry (Physical Chemistry specialization), University of Barcelona (2003) Research Interests: Dr. Romero’s research lies at the intersection of physical chemistry, photophysics, and sustainable energy . She investigates the quantum mechanical principles underlying energy and electron transfer in photosynthetic systems, applying this knowledge to engineer artificial systems for solar fuel production. Her group uses ultrafast spectroscopy techniques like transient absorption and 2D electronic spectroscopy to probe femtosecond-scale dynamics. Publications & Research Trends: Her recent publications reflect a strong trend in de novo protein design for artificial light harvesting , excitonic coupling in chromophore systems , and quantum effects in biological energy transfer . Collaborative work with leading institutions highlights her role in advancing synthetic biology and quantum bio-inspired materials. Scientific Awards: European Research Council (ERC) Starting Grant Marie Curie Fellowship Advising and Grants: Dr. Romero mentors a dynamic team of PhD students, postdoctoral researchers, and master’s students . Her group has secured competitive funding from the ERC, Severo Ochoa Programme, and Marie Skłodowska-Curie Actions , supporting innovative research in renewable energy technologies. Labs and Teams: Her laboratory at ICIQ is equipped with state-of-the-art ultrafast spectroscopy facilities. The team fosters a collaborative and inclusive environment, combining rigorous scientific inquiry with social engagement and cultural exchange.

Chen Xiaodongمشاهده پروفایل

استاد

• Materials Science
• Flexible Electronics
• Nanotechnology
• +۵ مورد دیگر

Professor Chen Xiaodong is a Distinguished University Professor at Nanyang Technological University (NTU), Singapore, holding primary appointment in the School of Materials Science & Engineering with courtesy appointments in the Lee Kong Chian School of Medicine and School of Chemistry, Chemical Engineering and Biotechnology. He serves as Deputy Director of the Institute for Digital Molecular Analytics and Science (IDMxS) and Director of both the Innovative Centre for Flexible Devices (iFlex) and Max Planck-NTU Joint Lab for Artificial Senses. His research spans mechanomaterials science and engineering, flexible electronics, sense digitalization, cyber-human interfaces and systems, and carbon-negative technology. Professor Chen's work focuses on developing methods for controlling materials architecture at 1-100 nm scale to solve fundamental and applied problems in energy, environment, and healthcare. His group integrates expertise from materials science, chemistry, biology, physics, and engineering to create innovative solutions. His scientific contributions have been recognized through numerous prestigious awards including the Singapore President's Science Award, National Research Foundation Investigatorship and Fellowship, Friedrich Wilhelm Bessel Research Award, Dan Maydan Prize in Nanoscience and Nanotechnology, and election to multiple national academies including Singapore National Academy of Science, Academy of Engineering Singapore, and German National Academy of Sciences Leopoldina. Professor Chen serves as Editor-in-Chief of ACS Nano and sits on editorial boards of numerous prestigious journals including Advanced Materials, Chemical Reviews, and Matter. He has mentored numerous PhD students and research fellows who have gone on to faculty positions at institutions worldwide. His laboratory develops cutting-edge technologies in flexible electronics, bio-inspired materials, and nano-bio interfaces, with strong industry collaborations and translational research focus.