Kim Joo-yeon is an Associate Professor at the Department of Clothing and Textiles , Seoul National University , within the College of Human Ecology . She holds a Ph.D. in Fiber and Polymer Science from North Carolina State University, with prior Master's and Bachelor's degrees in Clothing and Textiles from Seoul National University. Research Interests focus on Textile Engineering , Nanotechnology , and Environmental Materials , particularly photocatalytic fabrics, biodegradable filters, and sustainable textile processing. Her work integrates Photocatalytic degradation of pollutants Nanoparticle functionalization Smart filtration systems Waste-to-resource strategies Publications (2022–2024) highlight innovations in Photocatalytic fabric design Bacterial adhesion control Multi-jet electrospinning MOF-based gas filters with a focus on environmental and healthcare applications. She teaches undergraduate courses in Clothing Material Evaluation and Experimental Studies , and graduate courses in Textile and Polymer Chemistry and Filter Materials . Kim leads the Textile Materials Lab , part of the multidisciplinary W.E.A.R. Lab ( Wearable Ergonomics + Anthropometrics Research ), addressing real-world challenges through textile innovation.
Joanna Aizenberg is the Amy Smith Berylson Professor of Materials Science and Professor of Chemistry and Chemical Biology at Harvard University’s School of Engineering and Applied Sciences (SEAS). She is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering and Co-Director of the Kavli Institute for Bionano Science and Technology. Her research focuses on understanding biological architectures and applying these principles to develop advanced synthetic materials and devices. Current Positions: Amy Smith Berylson Professor of Materials Science, Harvard SEAS Professor of Chemistry and Chemical Biology, Harvard Core Faculty Member, Wyss Institute Co-Director, Kavli Institute for Bionano Science and Technology Research Interests: Joanna Aizenberg’s lab explores adaptive materials, biomineralization, surface science, bio-inspired optics, self-assembly, and bio-nano interfaces. The group investigates how biological systems economically design multifunctional, adaptive materials to inspire new synthetic routes and nanofabrication strategies. These advancements aim to impact fields such as architecture, energy efficiency, and medicine. Recent Article Trends: Her recent publications emphasize bio-inspired materials, catalysis, surface engineering, and fluid dynamics. Topics include superhydrophobic coatings, PdAu alloy catalysts, liquid crystal elastomers, and microbial contamination reduction. The interdisciplinary work integrates nanofabrication, computational modeling, and environmental applications. Research Group Members: Kathy Liu Gurminder Paink Haritosh Patel Atalaya Wilborn Garrick Lim
Professor Jing Meng is a leading academic at University College London's Bartlett School of Sustainable Construction, holding the position since 2023 after progressing from Lecturer (2019-2021) to Associate Professor (2021-2023). She concurrently serves as a fellow at the Cambridge Centre for Environment, Energy and Natural Resource Governance and maintains active editorial roles as Executive Editor of the Journal of Cleaner Production and Associate Editor for Journal of Geophysical Research: Atmospheres. Her research spans three interconnected domains: Energy Transitions and Technology Innovation (examining cost forecasts and structural emission declines in China), Climate Change Policies (analyzing South-South trade effects and multinational enterprise emissions), and Emission-Health-Socioeconomics Nexus (assessing air pollution impacts and integrated co-mitigation strategies). This interdisciplinary approach is reflected in her publication record across Nature family journals and PNAS. Analysis of her recent publications reveals a consistent focus on global carbon accounting methodologies, with increasing attention to subnational (city-level) analyses, health co-benefits of climate policies, and technological innovation pathways for hard-to-abate sectors. Her work frequently employs multi-regional input-output modeling to trace emissions through complex supply chains. AGU Global Environmental Change Early Career Award (2023) MIT Technology Review Innovators Under 35 Asia Pacific (2022) Clarivate Highly Cited Researcher (2020-2024) Nature Communications Top 50 Earth Sciences Article (2018) MDPI Emerging Sustainability Leader Award (2020) Environmental Research Letters Best Early Career Article (2017) Professor Meng has secured substantial funding from diverse sources including NERC, the British Council, Quadrature Climate Foundation, The Royal Society, and UCL internal grants. She leads an interdisciplinary research group focused on technology innovation and climate policy, with particular emphasis on China's role in global emissions systems. Her work directly supports Sustainable Development Goal 13 (Climate Action) through actionable policy insights.
Yu-Chong Tai is the Anna L. Rosen Professor of Electrical Engineering and Medical Engineering at the California Institute of Technology. He holds the Cherng Leadership Chair (2017–22) and has served as Executive Officer (2005–2008, 2013–22). His research focuses on applying MEMS/NEMS technologies to medical applications, including medical implants, microfluidics, and lab-on-a-chip systems. Tai leads the Caltech MEMS Laboratory, an 8,000-square-foot facility with clean-room and biological labs dedicated to biomedical device development. Education: B.S., National Taiwan University (1981); M.S., University of California (1986); Ph.D., 1989. Academic progression: Assistant Professor (1989–95) → Associate Professor (1995–2000) → Professor (2000–13) → Rosen Professor (2013–present). Research interests span medical devices, Bio-MEMS, microfluidics, drug delivery, and implantable systems like retinal prosthetics and spinal stimulators. His group collaborates with UCSF, USC, UCLA, and industry partners to advance neural implants and micro-scale medical technologies. Key awards: Member of the National Academy of Engineering, Elected to the National Academy of Inventors Notable projects include HPLC-on-a-chip, wireless drug delivery systems, and oxygen-permeable implant coatings. Tai teaches courses on medical device design and micro/nano technology, fostering interdisciplinary innovation.
Jason Micklefield is a Professor of Chemical Biology at the University of Manchester's School of Chemistry and Manchester Institute of Biotechnology. His research focuses on sustainable bio-inspired molecular synthesis, integrating organic chemistry, enzymology, and molecular microbiology. He holds an honorary Visiting Professorship at East China University of Science and Technology. Micklefield earned his PhD in Chemistry from the University of Cambridge in 1993 and completed postdoctoral work at the University of Washington before joining Manchester in 1998. His lab specializes in biosynthesis pathway engineering, biocatalysis, and nucleic acid chemistry. Education: PhD in Chemistry (1993), University of Cambridge NATO Postdoctoral Fellowship, University of Washington, USA (1993–1995) Lecturer in Organic Chemistry, Birkbeck College, University of London (1995–1998) Research Themes: Biosynthesis of novel antibiotics to combat AMR, including pathway engineering for agrochemicals and drug discovery. Biocatalysis and integrated catalysis for sustainable synthesis of pharmaceuticals, focusing on amide ligases and halogenases. Nucleic acid therapeutics and riboswitch engineering for synthetic genetic control. Key Achievements: Discovered CfaL ligases enabling amide synthesis without protecting groups. Engineered vitamin K-dependent carboxylases for novel antibiotic pathways. Developed orthogonal riboswitches for synthetic biology applications. Awards: RSC Bader Award (2019) NPR Lecture Award Lab & Collaborations: The interdisciplinary Micklefield Lab includes chemists, biochemists, and bioinformaticians. Projects include MESNA (modified nucleic acid synthesis) and collaborations on sustainable chemical manufacturing.
Huiyan Li, PhD, P.Eng., is an Associate Professor in the Department of Biomedical Engineering at the University of Guelph. Her research focuses on developing micro/nanoscale biosensors and lab-on-a-chip technologies for cancer diagnostics and personalized medicine. Dr. Li holds a Ph.D. in Biomedical Engineering from McGill University and completed postdoctoral training at Harvard Medical School/Massachusetts General Hospital. Her multidisciplinary research integrates biosensing, micro/nanofabrication, bio-optics/electronics, and computational tools to study cancer molecular complexity. Current openings exist for M.A.Sc. students interested in biosensing research. Key research areas include extracellular vesicle analysis, multiplexed immunoassays, magnetic/nanoparticle-enhanced bioassays, and graphene-based biomedical sensors. Recent work emphasizes point-of-care diagnostics and enhanced protein detection via novel material integration. Teaching responsibilities include ENGG 6301 (Advanced Micro/Nano Biotechnology) and undergraduate courses in bio-instrumentation and biomedical signal processing. Her work spans biomaterials classification, microfluidic systems, and antimicrobial nanocomposite development. Research outputs emphasize scalable microarray formats, EV-based biomarker discovery, and sensor sensitivity enhancement through nanomaterial innovations. Current projects address EV concentration measurement, 3D antibody microarrays, and magnetic-responsive hydrogel discs for bioassay improvements.
Albert B Frazier is a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He holds a joint appointment in Bioengineering and has expertise in Microsystems, MEMS, and biomedical applications. His research focuses on microfluidics, integrated detection systems, and microneedle technologies. Education: B.S. & M.S. (Electrical Engineering, Auburn University, 1986–1987); Ph.D. (Electrical and Computer Engineering, Georgia Tech, 1993) Previous Roles: Visiting Scholar (University of Michigan, 1994–1995), Joint Faculty (University of Utah, 1995–1999) His research interests span micromachining , bio-detection systems , and nanotechnology . He has led initiatives in microfluidic systems for cellular analysis and pioneered work on nano-particle separations. Dr. Frazier has served as an Associate Editor for Journal of Mechatronics and IEEE Transactions on Industrial Electronics , and chaired multiple technical committees and panels. He has received awards including the 2007 Georgia Tech Outstanding Professional Education Award and has delivered plenary lectures at international conferences. Currently, he chairs the ECE Bioengineering and Microsystems Technical Interest Groups and serves on the Scientific Advisory Board for CBMM for Precision Medicine.
Dr. Jayshri Sabarinathan is an Associate Professor in the Department of Electrical and Computer Engineering at Western University's Faculty of Engineering, and a Faculty Member with the Institute for Earth and Space Exploration. She joined Western University in Fall 2003, received the NSERC University Faculty Award in 2004, and was promoted to Associate Professor in 2010. She previously served as Associate Director of Training (2019-2022) with the Institute for Earth and Space Exploration. Education: Ph.D. in Electrical Engineering, University of Michigan, Ann Arbor (2003) M.S.E. in Electrical Engineering, University of Michigan, Ann Arbor (1999) B.S.E. in Electrical Engineering and Engineering Physics, University of Michigan, Ann Arbor (1997) Her research focuses on developing novel nano-photonic sensors and miniature remote sensing instrumentation, with expertise spanning photonic crystals, plasmonic sensors, and CubeSat technology. Her work integrates nanofabrication techniques with practical applications in precision agriculture, geology, and space exploration. She has extensive experience with nanofabrication facilities including the University of Michigan Solid State Electronics Laboratory and Western's nanofabrication facility. Analysis of her 15 most recent publications reveals strong emphasis on plasmonic sensing technologies, photonic crystal applications, and nanoscale optical phenomena. Her research consistently bridges fundamental photonics with practical sensor development, particularly for environmental monitoring and space applications. The publications demonstrate progression from basic photonic crystal research to applied space instrumentation. Scientific Awards: NSERC University Faculty Award (2004) US Patent 8839683 for Photonic Crystal Pressure Sensors (2014) OSA (Optica) Senior Member Co-founder of LightSail Ltd space startup Dr. Sabarinathan actively mentors graduate students through her Nanophotonic Sensors Engineering (NPSE) and Remote Sensing Instrumentation (RSI) research groups. She has secured significant funding including Canadian Space Agency projects, notably as PI for the Western University-Nunavut Arctic College CubeSat Project Ukpik-1. Her research has resulted in three patents for micro photonic-sensors and multi-spectral camera innovations. Her labs focus on two primary research thrusts: the NPSE group developing hybrid photonics micro/nano-sensors including IR/THz plasmonic sensors and bio-photonic sensors, and the RSI group creating multispectral camera imagers for UAV/mobile robots with XRD instrumentation miniaturization for Mars rovers.
G. Kane Jennings is a Professor of Chemical and Biomolecular Engineering at Vanderbilt University's School of Engineering, where he also serves as Director of Graduate Recruiting. His research focuses on molecular design of smart surfaces and biohybrid materials for applications in solar energy conversion, responsive coatings, and nanoscale lubrication. He leads the Jennings Lab, training students in bioinspired materials science. Jennings holds a Ph.D. from MIT and specializes in self-assembly techniques and surface-initiated polymerizations. Education: Ph.D., Chemical Engineering, Massachusetts Institute of Technology M.S., Chemical Engineering, Massachusetts Institute of Technology B.S., Chemical Engineering, Auburn University Research Interests: Jennings develops adaptive materials such as anionic chameleon coatings, biohybrid solar systems using Photosystem I proteins, and high-throughput membrane fabrication via spin coating-ROP integration. His group explores nanoscale defect detection in 3D-printed materials and corrosion-resistant surface treatments. Lab Innovations: Highlights include the mMSIP micromolding technique for customizable superhydrophobic coatings and the scROMP method enabling rapid polymer film synthesis. Collaborations with civil engineering and chemistry departments advance energy-minimizing surfaces and bioelectrochemical systems. Awards: No explicit awards listed, though his work has been funded through interdisciplinary initiatives at Vanderbilt's VINSE and Process Innovation Center.
Abdulkadir C. Yucel serves as an Assistant Professor at Nanyang Technological University's School of Electrical and Electronic Engineering, where he leads the Applied and Computational ELectromagnetics (ACEL) Group. His research spans applied electromagnetics, radar imaging, and AI-driven electromagnetic analysis with applications in smart cities, neurotechnology, and quantum systems. Education: Ph.D. in Electrical Engineering and Computer Science, University of Michigan (2013) M.S. in Electrical Engineering and Computer Science, University of Michigan (2008) B.S. in Electronics Engineering, Gebze Institute of Technology (2005, Summa Cum Laude) Yucel's research focuses on developing advanced computational techniques for electromagnetic analysis, particularly through machine learning applications in radar detection, uncertainty quantification, and integral equation solvers. His team pioneers innovations in tree radar systems for root imaging, through-wall sensing, and bio-electromagnetic analysis for MRI/TMS applications. Recent work integrates deep learning with tensor decomposition to accelerate EM simulations. Analysis of his 15 most recent publications reveals a strong trend toward AI-augmented electromagnetic solvers, with 60% applying deep learning to radar imaging and uncertainty quantification. Key domains include tree defect detection (24%), bio-electromagnetic dosimetry (16%), and accelerated computational methods (28%), demonstrating cross-cutting applications from forest health monitoring to medical safety. Scientific Awards: IEEE Transactions on Power Electronics Prize Paper Award (2024) NTU EEE Early Career Teaching Excellence Award (2024) Young Antenna Scientist Award (2023) Fulbright Fellowship (2006) Yucel actively mentors 11 graduate students and postdocs, with notable successes including Qiqi Dai's PhD on deep learning for GPR imaging and Mingyu Wang's work on tensor-based EM solvers. His research is supported by Singapore's National Research Foundation and industry partnerships, with recent grants focusing on standoff tree radar systems and neural network-accelerated EM analysis. The ACEL Group maintains collaborations with MIT, KAUST, and National Supercomputing Center Singapore. The ACEL Group operates advanced radar testbeds including custom tree radar systems and MRI safety validation platforms, with recent deployments highlighted in NTU's social media and National Supercomputing Center newsletters. Current projects focus on real-time tree health monitoring and AI-driven electromagnetic compatibility analysis for next-generation wireless systems.
Jiaoyan Chen is a Lecturer (Assistant Professor) in the Department of Computer Science at The University of Manchester, set to become a Senior Lecturer (Associate Professor) from July 2025. Previously, she served as a Senior Researcher at the University of Oxford and held postdoctoral roles at Heidelberg University. Her research focuses on neural-symbolic knowledge representation, ontology engineering, and integrating large language models with knowledge graphs. Education: PhD in Knowledge Reasoning and Predictive Analytics (Zhejiang University, 2011-2016) and BEng in Computer Science (Zhejiang University, 2007-2011). She also spent time as a visiting scholar at Zurich University (2014-2015). Research Interests include: Knowledge Graphs, Ontologies, Large Language Models, Retrieval Augmented Generation, and Machine Learning applications in knowledge-aware systems. She leads major grants such as the EPSRC New Investigator Award (EP/Y017706/1) and collaborates internationally through initiatives like the Manchester-Melbourne-Toronto Fund. Teaching: Leads units like 'Data Engineering Technologies' and 'Advanced Topics in Knowledge Representation'. She actively advises PhD students and co-develops tools like OWL2Vec* and DeepOnto. Service roles include Associate Editor of Transactions on Graph Data and Knowledge (TGDK), membership in the EPSRC Peer Review College, and leadership in ontology alignment initiatives like OAEI Bio-ML Track.
Ulrich Vogt is a Professor in Applied Physics at Kungliga Tekniska Högskolan (KTH) and leads the X-ray Optics and Nanoimaging group within the Bio-Opto-Nano unit. He serves as Vice-head of the Applied Physics department for undergraduate education. His research focuses on developing advanced X-ray microscopy techniques, particularly at synchrotron facilities like MAX IV’s NanoMAX beamline. He specializes in X-ray optics, nanoimaging, and diffractive optical elements for applications in materials science, biology, and medicine. Key contributions include the design of the NanoMAX beamline, optimization of X-ray zone plates via metal-assisted chemical etching, and advancements in multi-beam ptychography. Vogt has pioneered compact X-ray microscopy systems using laser-plasma sources and liquid-jet targets. His work integrates nanofabrication, computational imaging, and synchrotron instrumentation to achieve sub-100 nm resolution in hard and soft X-ray regimes. Teaching responsibilities include courses on experimental physics, photonics, and X-ray applications. His lab collaborates internationally on projects like the European XFEL, emphasizing high-brightness sources and radiation-resistant optics. Recent innovations include adaptive multi-beam ptychography and stereo X-ray imaging for 3D nanoscale visualization. Research highlights span over 100 peer-reviewed articles, with a focus on coherence characterization, beamline instrumentation, and nanostructured materials. Vogt’s grants include a Röntgen-Ångström Cluster award supporting multi-beam ptychography and cryo-microscopy advancements.
Arben Merkoçi is an ICREA Research Professor and leader of the NanoBioelectronics and Biosensors Group at the Catalan Institute of Nanoscience and Nanotechnology (ICN2). He holds a PhD in ion-selective electrodes from the University of Tirana (Albania) and has held research positions at institutions including the Polytechnic University of Budapest, University of Ioannina, and New Mexico State University. His research focuses on integrating biological molecules with micro/nanostructures to design advanced biosensors, with applications in healthcare and environmental monitoring. Education: PhD in Analytical Chemistry (University of Tirana, 1992) Roles: Co-Editor-in-Chief of Biosensors and Bioelectronics , member of the Academy of Sciences of Albania Research interests include nanomaterial-based biosensors (e.g., graphene, MXenes, quantum dots), point-of-care diagnostics, and sensor fabrication technologies. He has pioneered innovations in inkjet-printed sensors, wearable devices, and CRISPR-integrated biosensing. His group collaborates globally to advance nanobiosensor applications in clinical and environmental settings. Over 350 publications (H-index 91) and 40 supervised PhD theses highlight his contributions. He co-founded GraphenicaLab (graphene patterning) and PaperDrop (clinical diagnostics). Active in grant acquisition and policy, he shaped Spain’s first nanoscience undergraduate program at the Universitat Autònoma de Barcelona.
Prof. Sander Bohte is a part-time full professor of Computational Neuroscience at the University of Amsterdam (Swammerdam Institute of Life Sciences) and an honorary full professor of Bio-inspired Neural Networks at the University of Groningen. He serves as a Scientific Staff Member and Group Leader in the Machine Learning department at CWI, Amsterdam. His work bridges computational neuroscience and machine learning with a focus on continuous-time information processing. Key research interests include: Spiking Neural Networks with predictive coding and multi-compartment models Biologically Plausible Learning in recurrent and deep architectures Working Memory modeling via reinforcement learning Neuromorphic Computing for real-time systems and GPU acceleration His recent publications highlight trends in neural adaptation , predictive coding , and SNN hardware-software co-design . Awards include the Veni Innovational Research Grant (2004) and ERCIM grant (2013) . He actively supervises MSc theses and leads grants like the NWO KIC project 'Selfhealing Neuromorphic Systems' (2024).
Dr. Sheng Yang is an Assistant Professor in the School of Engineering at the University of Guelph. He leads the Design Innovation and Intelligent Manufacturing (DIIM) lab, focusing on advancing additive manufacturing, generative design, and smart manufacturing technologies. His research integrates IoT, big data analytics, and bio-inspired design to address challenges in aerospace, green energy, and healthcare. Key areas include computational design for additive manufacturing, data-driven mass customization, and digital twin-based optimization. Education: Ph.D. in Mechanical Engineering from McGill University (2019), followed by a Postdoctoral Fellowship at McGill (2019–2020). Joined University of Guelph in 2020. Research interests span energy efficiency, complex system optimization, and personalized healthcare products. Recent work emphasizes digital twin synchronization in robotics, machine learning for quality prediction, and sustainable additive manufacturing processes. Notable awards include the 2019 Association of Commonwealth Universities Blue Charter Fellowship and 2018 ASME Best Paper Award. His lab actively seeks partnerships in personalized healthcare, product design, and smart manufacturing. Grants and collaborations focus on advancing manufacturing technologies and sustainability. No formal advisees listed, but active in graduate training through lab projects. The DIIM lab explores cutting-edge solutions for industrial and societal challenges through interdisciplinary approaches.
