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Dr. Sundaresan Jayaraman is a Professor at the School of Materials Science and Engineering, Georgia Institute of Technology, and Founding Director of the Kolon Center for Lifestyle Innovation. His research focuses on converging textiles with computing, notably pioneering the concept of 'Fabric is the Computer.' Key contributions include the Smart Shirt (Wearable Motherboard™), featured in LIFE Magazine and archived at the Smithsonian. He has secured $16M+ in research funding from NSF, DARPA, and industry. His work spans smart textiles, respiratory protection systems, and computer-aided manufacturing. Awards include the 1989 Presidential Young Investigator Award and the 2018 Textile Institute Research Publication Award. He holds ten U.S. patents and serves on editorial and advisory boards for journals like the Journal of the Textile Institute. Professional roles include leadership in National Academies committees on manufacturing and personal protective equipment. Education & Early Career: Dr. Jayaraman’s career began at Software Arts, Inc. (developers of VisiCalc) and Lotus Development Corporation, where he contributed to early spreadsheet and equation-solving software. His PhD research led to TK!Solver, a pioneering equation-solving program. Research Interests: His work bridges engineering and healthcare through smart textiles, wearable biomedical systems, and advanced manufacturing. Current projects address respiratory protection systems, wearable sensor networks, and personalized healthcare technologies. He emphasizes interdisciplinary collaboration to address societal challenges in health, security, and quality of life. Publications & Impact: Over 100 refereed papers and book chapters highlight his contributions to textile informatics, healthcare wearables, and manufacturing automation. Recent articles focus on next-generation respiratory protection devices and continuous fit monitoring systems. Past innovations include the Wearable Motherboard™ and sensor-integrated garments for vital signs monitoring. Awards & Recognition: In addition to his NSF and Textile Institute honors, he received the Georgia Technology Research Leader Award (2000) and Distinguished Alumni Award from A.C. College of Technology (2019). He is a Fellow of the Textile Institute and founding member of IEEE Technical Committees on Biomedical Wearables. Labs & Teams: Leads the Kolon Center for Lifestyle Innovation and collaborates with industry partners on textile-based computing solutions. His lab’s work on 3D-printed respiratory devices and smart garments exemplifies cutting-edge translational research.

• Smart Textile-based Wearable Systems
• Computer-aided Manufacturing
• Engineering Design
• +8 more

Sungmee Park is a Principal Research Scientist at the School of Materials Science and Engineering at Georgia Institute of Technology. Her work bridges academia and industry, with groundbreaking contributions to smart textiles and wearable technologies. She co-invented the world’s first Wearable Motherboard (Smart Shirt) in 1996, foundational to modern wearables. At Kolon Glotech in South Korea, she developed Printronix printing technology and heating textiles (HeaTex), applied in sports, military, and automotive sectors. She also served as Vice President and Head of Future Strategy at Kolon Corporation, driving innovation in strategic partnerships and new ventures. Her research focuses on electronic textiles, smart fabrics, and wearable biomedical systems, addressing health monitoring, security, and human welfare. With over 30 patents and numerous publications, her work emphasizes translating research into practical applications like low-cost reusable masks and respiratory protection devices. Key collaborations include ongoing projects with Professor Jayaraman on wearable data platforms and Big Data analysis. Dr. Park’s articles highlight advancements in textile-based electronics, wearable healthcare systems, and smart textile manufacturing. She has pioneered methodologies for integrating sensors and communication systems into fabrics, enabling applications from athlete monitoring to SIDS prevention. Her contributions reflect a vision of technology enhancing quality of life through interdisciplinary innovation at the intersection of art, science, and engineering. Notable projects include the Inspiring Journey Exhibit showcasing her work in art-science fusion and strategic leadership in identifying new growth areas for the Kolon Group. Her research continues to drive global impact through sustainable, human-centered technological solutions.

• Electronic Textiles
• Smart Textiles
• Wearable Biomedical Systems
• +5 more

Azhar Zam is an Associate Professor of Bioengineering at NYU Abu Dhabi (NYUAD) and associated faculty at NYU Tandon School of Engineering's Biomedical and Electrical Engineering departments. He holds a B.Sc. from University of Indonesia, M.Sc. from University of Luebeck (Germany), and Ph.D. from Friedrich-Alexander-University Erlangen-Nuremberg (Germany). His research focuses on developing smart optical devices for medical imaging/diagnostics, including laser surgery, OCT, photoacoustics, and AI-driven imaging systems. He leads the Laboratory for Advanced Bio-Photonics and Imaging (LAB-π) at NYUAD and has authored 85+ publications/patents. Education: Bachelor of Science, University of Indonesia M.Sc. Biomedical Engineering, University of Luebeck Ph.D. Engineering, Friedrich-Alexander-University Erlangen-Nuremberg Research Interests: Innovations in biomedical optics, optical-based smart sensors, AI-enhanced diagnostics, and miniaturized medical imaging systems. His work integrates advanced optical technologies with surgical robotics and clinical applications. Professional Contributions: Associate Editor for Frontiers in Photonics Biophotonics section; Reviews Editor for Frontiers in Ophthalmology Retina section. Previously held positions at University of Basel (Assistant Professor), University of Waterloo, and other institutions globally. Labs & Teams: Directs NYUAD's LAB-π lab focusing on bio-photonics innovations. Collaborates across NYU's global network and international partners.

• Biomedical Optics
• Optical Coherence Tomography (OCT)
• Photoacoustics
• +5 more

Dr. Svetlana Yanushkevich is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary. She is also a Full Member of the Hotchkiss Brain Institute and the Mathison Centre for Mental Health Research and Education. Her research focuses on biometric technologies, decision support systems, biomedical applications, and computational intelligence. She leads the Biometric Technologies Laboratory, developing strategies for risk assessment in biometric systems and healthcare monitoring through machine reasoning and signal processing. Education : BSc/MSc in Electrical Engineering (1989), State University of Informatics and Radioelectronics, Minsk PhD in Electrical Engineering (1992), same institution Dr. Habilitated in Technical Sciences (1999), Warsaw University of Technology Research Interests : Dr. Yanushkevich’s work spans biometric system design (e.g., gait analysis, facial attributes), decision support via probabilistic models (Bayesian networks, causal inference), biomedical applications (stroke rehabilitation, wearable sensors), and computational intelligence for data science. She emphasizes fairness, bias mitigation, and trustworthiness in AI systems, particularly in healthcare and accessibility contexts. Recent Research Trends : Her recent publications address causal modeling for accessibility barriers, UAV operator cognitive workload, and medical device optimization in radiation therapy. She explores AI ethics, stress contagion in human-robot teams, and cross-spectral biometric systems. Awards & Recognition : 2024 FEIC Fellow (Engineering Institute of Canada) 2019 Research Excellence Award (Schulich School of Engineering) 2001 Senior IEEE Membership Advising & Grants : She coordinates courses like ENCM 509 (Biometric Systems Design) and ENEL 610 (Biometric Technologies). Her research is supported by grants focusing on healthcare AI, accessibility technologies, and computational epidemiology. Labs & Collaborations : Her Biometric Technologies Lab collaborates with institutions like Hokkaido University and the IEEE Computational Intelligence Society. Projects include wearable health monitoring, decision support platforms, and AI-driven epidemiological modeling.

• Biometric Technologies
• Machine Learning
• Signal Processing
• +3 more

Professor Peter Chin is a Professor of Engineering at Dartmouth College and Director of the Learning, Intelligence + Signal Processing (LISP) Lab. He holds affiliations with the Thayer School of Engineering and serves as Associate Editor of IEEE Transactions on Computational Social Systems. His research bridges signal processing, machine learning, game theory, and differential geometry, with applications in cybersecurity, healthcare, and network analysis. Education: Bachelor of Science in Electrical Engineering, Computer Science, and Mathematics from Duke University (1993) Doctor of Philosophy in Mathematics from MIT (1998) Research Interests: Chin’s work focuses on fundamental questions at the intersection of machine learning, game theory, and signal processing. His lab explores topics like adversarial defense mechanisms, topological machine learning, and computational neuroscience. Recent projects include cybersecurity resilience modeling, medical imaging enhancements via GANs, and multi-agent reinforcement learning frameworks. Publications Trends: His most recent articles address cutting-edge challenges in cybersecurity (e.g., autonomous defense systems), medical AI (e.g., Alzheimer’s classification), and adversarial robustness. A notable 2025 focus is on quantitative resilience modeling for cyber defense, reflecting growing demand for AI-driven security solutions. Awards: Faculty Scholar Award, Duke University George Sherred III Award, Duke University Julia Dale Memorial Award, Duke University Grants & Leadership: Recipient of DARPA cybersecurity research grants Co-chair for SPIE/DSS Cyber Sensing Conference (2013–2020) Developed novel compressive sensing microscope for biological imaging LISP Lab: This interdisciplinary lab pioneers projects like nFlip (multiplayer security game models) and topological machine learning frameworks, emphasizing practical applications of theoretical advancements.

• Machine Learning
• Artificial Intelligence
• Differential Geometry
• +8 more

Jörg Wrachtrup is a Professor at the Department of Physics, Faculty of Mathematics and Physics, University of Stuttgart, and a Fellow at the Max Planck Institute for Solid State Research. He is recognized as one of the most cited physicists globally due to his groundbreaking work on diamond-based quantum sensors, particularly utilizing nitrogen-vacancy (NV) centers for ultra-precise measurements. His research focuses on advancing quantum sensing technologies with applications in neuroscience, medical diagnostics (e.g., next-generation MRI and NMR), and materials science. These sensors enable non-invasive, high-resolution detection of magnetic fields at the nanoscale, opening new frontiers in both fundamental physics and real-world technology deployment. Wrachtrup emphasizes interdisciplinary collaboration and early engagement with applied sciences and industry, advocating for partnerships between academia, Fraunhofer institutes, startups, and large enterprises to accelerate the commercialization of quantum technologies. He believes quantum sensing is ahead of quantum computing in terms of practical application and near-term impact. Scientific awards and recognitions are not mentioned in the provided text. He actively mentors students and leads a research group focused on quantum sensor development, though specific advisees are not listed. His lab collaborates closely with institutions like the Fraunhofer IAF, which develops diamond-based semiconductor qubits and sensor platforms. The team works on translating fundamental quantum phenomena into scalable, deployable technologies, with future goals including miniaturized, high-sensitivity sensors for integration into medical devices and potentially consumer electronics.

• Quantum Sensing
• Diamond Quantum Sensors
• Nitrogen-Vacancy Centers
• +6 more

Sergio Barbero is an Associate Researcher at the Visual Optics laboratory of the Instituto de Óptica (CSIC), Spain, under the supervision of Prof. Susana Marcos. He holds a BSc in Physics from the University of Zaragoza (1999) and a PhD in Visual Sciences from the University of Valladolid (2004), which earned him the Doctoral Thesis Extraordinary Award (2005). His research focuses on optical aberrations, intraocular lens design, wavefront measurement techniques, and gradient-index modeling of ocular structures. Barbero has collaborated with international groups at Indiana University (USA), University of Houston (USA), and Australian institutions. His work includes pioneering studies on crystalline lens tomography, corneal ablation algorithms, and novel wavefront sensing methods. He has authored 16 peer-reviewed publications and contributed to a US patent on wavefront reconstruction techniques. His research spans three core areas: (1) intraocular lens design using analytical tools, (2) gradient-index modeling of the human eye, and (3) in vivo measurement of crystalline lens aberrations. He has secured grants from the Spanish government (I3P-CSIC), NIH (USA), and Fulbright fellowships. Barbero has presented 33 scientific talks/posters, including invited lectures, and maintains an h-index of 9. His work bridges fundamental optics with clinical applications in ophthalmology.

• Optics
• Visual Sciences
• Medical Optics
• +3 more

Prof. Elisa Giaccardi is a Professor in Industrial Design Engineering at Delft University of Technology, specializing in Human-Technology Relations. Their research focuses on sustainable energy practices, AI ethics, decolonial design, and material interactions in everyday life. Giaccardi has led projects exploring heat pump adoption, clinical AI development, and microbial coexistence with humans. They are affiliated with TU Delft’s 4TU.ResearchData repository and hold editorial roles in design conferences such as EKSIG 2017. Notable contributions include datasets on heat pump practices and awards like the 2023 Best Paper Honourable Mention. Giaccardi actively participates in international conferences, emphasizing interdisciplinary collaboration across design, technology, and social sciences. Research interests span decolonizing design methodologies, energy transition practices, and the ethical implications of AI. Their work bridges technical innovation with human-centered approaches, addressing societal challenges through speculative and critical design frameworks. Recent publications analyze household improvisation with heat pumps, hauntological critiques of AI, and material care for cyanobacteria in domestic contexts. Giaccardi has supervised 5 academic works and contributed to over 70 research outputs. They organize conferences, review journal submissions, and advocate for inclusive, equitable design practices. Current activities include exploring AI’s societal integration and fostering dialogue between designers, engineers, and marginalized communities.

• Industrial Design
• Human-Technology Relations
• Sustainable Energy Practices
• +3 more

Paola Ayala is a Professor at the Faculty of Physics of the University of Vienna, specializing in the Electronic Properties of Materials . Her research focuses on nanomaterials, particularly carbon nanotubes, graphene, and carbyne, exploring their electronic, magnetic, and optical properties. She leads the Doctoral College Advanced Functional Materials (DCAFM) (2020–2025), fostering interdisciplinary training in nanotechnology. Key research areas include nitrogen doping of carbon nanotubes, magnetic coupling in nanoclusters, and sensor applications of nanocomposites. She has pioneered studies on confined carbyne synthesis and the environmental stability of 1D nanocarbons. Ayala’s work bridges theoretical modeling (e.g., DFT simulations) and experimental techniques like Raman spectroscopy and XPS analysis. Her 2017 Matilde Hidalgo Prize recognizes contributions to nanomaterials science. She actively promotes STEM equity, co-authoring reports on women in physics in Austria and Ecuador. Ayala has supervised over 97 publications since 2007, with recent emphasis on functional nanomaterials for energy, sensing, and biomedical applications. Notable projects include developing flexible formaldehyde sensors and investigating magnetic properties of iron nanoclusters. She collaborates globally, presenting at conferences like the 2024 UNIVIE NanoteC Symposium and the 2023 International Nanotechnology Congress.

• Carbon Nanotubes
• Graphene
• Nanomaterials
• +3 more

Dr. William Zamboni is a Professor at the UNC Eshelman School of Pharmacy and Director of the UNC Advanced Translational Pharmacology and Analytical Chemistry (ATPAC) Lab. His research focuses on translational pharmacology, optimizing anticancer therapies through pharmacokinetics, pharmacodynamics, and precision medicine. Key areas include nanoparticle drug delivery, overcoming tumor delivery barriers, and immune system interactions with nanomedicines. He collaborates with institutions like the UNC Lineberger Comprehensive Cancer Center and Carolina Institute of Nanomedicine. His lab specializes in analytical methods for drug quantification and preclinical/clinical studies of liposomal agents, antibodies, and ADCs. Research highlights include developing solid-phase separation (SPS) for nanoparticle analysis, evaluating mononuclear phagocyte system (MPS) biomarkers, and optimizing drug regimens for special populations (e.g., obesity, inflammatory diseases). The ATPAC Lab provides bioanalytical services, including LC-MS/MS assays and PK/PD modeling. Dr. Zamboni’s work emphasizes bridging preclinical findings to clinical applications, with a focus on enhancing anticancer drug efficacy and reducing toxicity.

• Cancer Pharmacology
• Nanomedicine
• Drug Delivery Systems
• +3 more

Xue Han is a Professor of Biomedical Engineering at Boston University (BU), affiliated with the Han Lab. His primary academic appointment is in the Biomedical Engineering department, with additional affiliations in Neuroscience & Neuroengineering, and Photonics & Optical Systems. He holds a PhD in Physiology from the University of Wisconsin-Madison and a B.S. in Biophysics from Beijing University, China. Dr. Han’s research focuses on addressing unmet medical needs in brain disorders by developing novel neuromodulation therapies. His work combines genetic, molecular, pharmacological, optical, and electrical tools to study neural circuit dynamics, with a particular emphasis on optogenetics and optical neural modulation. Key projects include pioneering light-based neuron silencing techniques and pre-clinical testing of neurotechnologies like transcranial ultrasound stimulation. His lab investigates how neural synchrony contributes to cognition and pathology, aiming to link neural activity to behaviors like movement, attention, and decision-making. His recent publications emphasize high-frequency electrical stimulation effects, membrane voltage imaging, and the impact of neuromodulation on brain rhythms. Notable themes include the role of PV neurons in cortical coding, ultrasound-based neuron activation, and the interplay between neural oscillations and disease states. While no formal awards are listed, his prolific output highlights contributions to neurotechnology and systems neuroscience. Dr. Han’s lab develops advanced imaging tools like targeted-illumination confocal microscopy (TICO) and collaborates on projects involving exosome-mediated therapies and brain-computer interfaces. Ongoing work explores translational applications of neurophotonic tools and the mechanistic basis of neuromodulation therapies for disorders like Parkinson’s and epilepsy.

• Neurotechnology
• Neural Prosthetics
• Optogenetics
• +5 more

Emma Denham is a Senior Lecturer in Microbiology at the University of Bath's Department of Biology and Biochemistry, part of the Centre for Climate Adaptation & Environment Research (CAER). She transitioned to Bath in 2018 from the University of Warwick, where she served as an Assistant Professor. Her research focuses on non-coding RNAs in Bacillus subtilis , exploring their roles in post-transcriptional regulation, biofilm formation, antimicrobial resistance, and metabolic pathways. She investigates how small RNAs (sRNAs) and antisense RNAs modulate bacterial behavior under environmental stress. Education & Career: BSc Biology, University of Leicester PhD in Microbiology, Pirbright Institute (formerly Institute for Animal Health) Postdoctoral Research, Jan Maarten van Dijl's lab (EU consortia on systems/synthetic biology) Research Interests: Emma's lab studies regulatory RNAs' impact on B. subtilis behavior, including biofilm formation, competence, and antibiotic resistance. Notable projects include identifying novel sRNA mechanisms distinct from Gram-negative systems and exploring RNA sponges that regulate the RoxS riboregulator. Collaborative efforts include applying bacterial systems to develop zero-carbon concrete via Engineering and Physical Sciences Research Council (EPSRC) grants (2023). Recent Work Trends: Recent articles highlight mechanisms of bacterial resistance to antiseptics, transcriptome annotation via Rend-seq, and RNA-sponge-mediated regulation. These studies bridge basic microbiology with applied challenges like biocide resistance and sustainable materials. Grants & Collaborations: EPSRC IAA Project: Bacteria-based zero carbon concrete (2023) EU consortia during postdoctoral work Labs & Teams: Leads a microbiology lab at Bath, focusing on interdisciplinary projects combining genomics, systems biology, and synthetic approaches to understand bacterial adaptation and regulatory networks.

• Microbiology
• Bacterial Genetics
• Non-coding RNA Regulation
• +3 more

Jennifer Barton is a Professor at the University of Arizona in the College of Engineering, with appointments in Biomedical Engineering, Electrical and Computer Engineering, Optical Sciences, and Biosystems Engineering. She serves as the Interim Director of the BIO5 Institute and has held leadership roles such as Department Head of Biomedical Engineering and Interim Vice President for Research. BS and MS in Electrical Engineering from the University of Texas at Austin and University of California Irvine PhD in Biomedical Engineering from the University of Texas at Austin (1998) Her research in Biomedical Optics focuses on developing miniature endoscopes combining optical coherence tomography and fluorescence spectroscopy for early ovarian and colon cancer detection . She also explores light-tissue interaction and dynamic optical properties of blood , leading to novel laser therapies for skin disorders. Her publications span optical imaging device design , cancer detection , and multimodal endoscopes . Recent works emphasize machine learning integration for diagnostic accuracy and 3D printed optical components . Women of Impact Research Innovation & Impact, University of Arizona (2022) Thomas R. Brown Distinguished Chair, College of Engineering (2020) Best Campus Collaborator, Tech Launch Arizona (2019) President's Award, SPIE (2016) She mentors students in biomedical engineering and leads the Tissue Optics Lab , an interdisciplinary team building novel imaging devices for healthcare innovation.

• Biomedical Engineering
• Bioinstrumentation
• Biomedical Optics
• +5 more

Emanuele (Manuel) Trucco is a Professor of Computing and holds the NRP Chair of Computational Vision in the School of Science and Engineering at the University of Dundee. He is also an Honorary Clinical Researcher at NHS Tayside and previously served as an Adjunct Professor at the Chinese Academy of Sciences (2018–2021). His research is centered on computational vision and medical image analysis, particularly in retinal imaging and its applications in systemic disease detection. PhD, Electronic Engineering, University of Genoa (1990) MSc, Electronic Engineering, University of Genoa (1984) Manuel Trucco's research focuses on computer vision and medical image analysis , with a strong emphasis on retinal image analysis for early detection of diseases such as diabetes, cardiovascular conditions, stroke, dementia, and neurodegenerative disorders. He co-directs the VAMPIRE (Vessel Assessment and Measurement Platform for Images of the Retina) initiative, a collaborative effort between the Universities of Dundee and Edinburgh. This platform enables automated, multi-modal analysis of retinal images and has been used in biomarker studies across the UK and internationally. His work integrates deep learning , artificial intelligence , and biomedical engineering to develop non-invasive, scalable diagnostic tools. Industrial collaborations include Canon Medical, OPTOS plc, NIDEK, and Epipole plc, while institutional partners include the Royal College of Ophthalmologists and the UK Biobank Eye and Vision Consortium. Recent publications highlight a strong trend in using AI and deep learning to extract clinical insights from retinal images, including predicting cardiovascular outcomes in diabetic patients, estimating biological age, and analyzing retinal vasculature changes under physiological stress. His work bridges computer science, ophthalmology, and public health, contributing to precision medicine and health equity. His scientific contributions have been recognized through fellowships: FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Trucco has led or co-led major research projects, including a £7M NIHR grant on precision medicine for diabetes (Dundee-Chennai), a £1.1M EPSRC grant on vascular dementia biomarkers (PI), the 3M-Euro ITN "REVAMMAD", and several PhD studentships sponsored by OPTOS, NIDEK, SINAPSE, and Toshiba. He has served on the organizing and program committees of major international conferences such as MICCAI and the European Conference on Computer Vision. He is a key member of the VAMPIRE research team and the UK Biobank Eye and Vision Consortium , contributing to large-scale data analysis efforts in vision and systemic disease. His work is at the forefront of AI-driven healthcare innovation, with real-world applications in early disease detection and personalized medicine.

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +7 more

Gordon Ramage is a Professor of Infection Prevention and Control at Glasgow Caledonian University's School of Health & Life Sciences. He holds a B.Sc. (Hons) in Medical Microbiology from Edinburgh University (1996) and a Ph.D. in Prosthetic Joint Infections from Queen's University Belfast (1999). After postdoctoral work in North America (2000-2003), he held academic positions at GCU and University of Glasgow Dental School before returning to GCU in October 2023. Education: B.Sc. (1996), Ph.D. (1999) Academic Roles: Lecturer (2004), Senior Lecturer (2007), Professor (2012) His research focuses on biofilm infections , particularly Candida auris persistence in hospitals, antifungal resistance , and biofilm disruption strategies like phage therapy. Recent projects address dry surface biofilms, wound healing applications, and oral microbiome analysis. Research trends show sustained activity in biofilm pathogenesis (2001-2025) with 228 total outputs, including high-impact work on C. albicans (38%) and aspergillus (75%). Scientific Recognition: FRCPath (Royal College of Pathologists) FECMM (European Confederation of Medical Mycology) Chair, ESCMID Biofilms Study Group (2021-2025) Active in supervising students and leading grants like BIDOPT (Phage Therapy) and Assembly of Practical Evidence Base for C. auris . Affiliated with GCU's ReaCH group and SHIP research cluster.

• Infection Prevention and Control
• Medical Microbiology
• Biofilm Research
• +3 more