جست‌وجوی استاد و پژوهشگر

• Biomedical Circuits and Systems
• Magnetic Resonance Imaging (MRI)
• RF Circuit Design
• +۴ مورد دیگر

Sung-Min Sohn serves as Assistant Professor in the School of Biological and Health Systems Engineering within Arizona State University's Ira A. Fulton Schools of Engineering. His research pioneers RF/analog/digital circuit innovations for biomedical imaging systems, with particular focus on advancing magnetic resonance imaging (MRI) hardware capabilities. His academic foundation includes a Ph.D. in Electrical and Computer Engineering from the University of Minnesota-Minneapolis (2013), complemented by master's and bachelor's degrees from Korea University, Seoul (2004, 2002). Prior to academia, he gained industry experience as a circuit design engineer at LG Electronics (2004-2007). Dr. Sohn's research centers on bio-inspired electronics for medical applications, specializing in simultaneous transmit-receive (STAR) MRI systems, automatic RF tuning/matching mechanisms, and novel coil architectures. His work bridges electrical engineering principles with clinical imaging needs to develop more accessible and efficient diagnostic hardware. Publication analysis reveals an evolutionary trajectory from consumer electronics (2003-2006) to specialized MRI instrumentation (2011-2016), demonstrating consistent innovation in RF component design, field uniformity optimization, and high-power circuit integration for medical imaging systems. His scientific recognition includes the prestigious NIH Pathway to Independence Award (K99/R00) in 2016, one of only five awarded that year in biomedical imaging and bioengineering. As Principal Investigator, Dr. Sohn leads the NIH-funded Automatic RF Signal Tuning project (K99EB020058). He also contributes to major collaborative initiatives including portable MRI development (R24MH105998) and ultra-high-field (9.4T) human MRI systems (R01EB006835), working with researchers at the University of Minnesota and Columbia University. His teaching portfolio spans undergraduate and graduate biomedical instrumentation courses with honors thesis supervision.

Chenyu Wenمشاهده پروفایل

استادیار

• Solid-State Nanopores
• DNA Sequencing
• Signal Processing Algorithms
• +۵ مورد دیگر

Chenyu Wen is an Assistant Professor at the Department of Electrical Engineering; Solid State Electronics , Uppsala University . His research focuses on: Solid-State Nanopores DNA Sequencing Technologies Signal Processing Algorithms Wearable Electronic Sensors His recent work explores neuromimetic tactile systems and machine learning applications for nanopore sensing. Key collaborations include researchers like Shiyu Li , Zhen Zhang , and Shi-Li Zhang . Publications span high-impact journals including Science , Nature Nanotechnology , and ACS Nano .

Falko Dresslerمشاهده پروفایل

استاد

• Wireless Communication Systems
• Edge Computing
• Vehicular Networking
• +۹ مورد دیگر

Falko Dressler is a Professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science , Technische Universität Berlin . He holds a PhD and M.Sc. in Computer Science from the University of Erlangen (2003, 1998). Dr. Dressler serves as Associate Editor-in-Chief for IEEE Transactions on Network Science and Engineering and Elsevier Computer Communications , and has chaired major conferences including IEEE INFOCOM and ACM MobiSys . Research Interests : His work focuses on Next-generation wireless systems Distributed machine learning Edge computing resilience Cyber-physical systems Internet of bio-nano-things Network simulation frameworks Recent publications address 5G/6G performance, vehicular networking, and AI-driven communication protocols. Scientific Awards : IEEE Fellow ACM Fellow AAIA Fellow VDE ITG Preis 2023 Member of acatech (German National Academy) Advising : Supervises PhD students in areas like 6G networks , Molecular communication , and Edge intelligence . Has mentored over 25 PhD graduates across institutions like TU Berlin, Paderborn University, and University of Innsbruck. Labs & Teams : Leads the Telecommunication Networks (TKN) group at TU Berlin. Collaborates with institutions in Germany, Austria, Italy, China, and the U.S. Organizes workshops including IEEE VNC and ACM NANOCOM .

Pierluigi Valenteمشاهده پروفایل

دانشیار

• Physiology
• Neuroplasticity
• Neuronal Differentiation
• +۵ مورد دیگر

Pierluigi Valente is an Associate Professor in the Department of Experimental Medicine (DIMES) at the University of Genoa. His academic appointment is in the BIOS-06/A - Physiology section, where he leads research and teaching activities focused on physiological mechanisms. Professor Valente teaches across multiple degree programs at the University, including: Physiology for Biomedical Engineering Neuroplasticity Laboratory for Biomedical Engineering Physiology of Nutrition for Biomedical Engineering Human Physiology for Dietetics Human Physiology 1 for Nursing Physiology and Laboratory for Doctors in Training for the Single-Cycle Master's Degree in Medicine and Surgery His research interests span multiple areas of physiology with a particular focus on neuronal function, brain plasticity, and cellular mechanisms. Professor Valente's work integrates molecular, cellular, and systems approaches to understand physiological processes, with applications in neurological disorders and disease modeling. His laboratory investigates: Mechanisms of neuronal differentiation and stem cell applications Sodium channel physiology and related channelopathies Structural and functional brain plasticity Nociception and sensory processing Metabolic regulation of neuronal activity Effects of nanomaterials on neuronal responses Professor Valente maintains an active research program with publications spanning neuroscience, cellular physiology, and molecular mechanisms. His recent work shows a strong emphasis on understanding neuronal plasticity mechanisms and their implications for neurological disorders. The research demonstrates interdisciplinary approaches combining molecular biology, electrophysiology, and advanced imaging techniques to address fundamental questions in neurophysiology. For academic inquiries, Professor Valente can be contacted at pierluigi.valente@unige.it . Office hours are by appointment via email.

Marcel Dannمشاهده پروفایل

استاد

• Bioinspired Energy Conversion
• Photosynthesis
• Cyanobacteria Engineering
• +۳ مورد دیگر

Prof. Dr. Marcel Dann serves as a Professor at Technische Universität Darmstadt, leading the Bio-Inspired Energy Conversion research group. His work focuses on engineering photosynthetic microbes—particularly cyanobacteria—to redirect solar energy harvest toward biosynthesis of valuable compounds like hydrogen and bioavailable nitrogen, or to harness light-driven proton gradients beyond ATP production. The lab operates within TU Darmstadt's biology facilities at Schnittspahnstraße 10 in Darmstadt. Research centers on bioinspired energy conversion through cyanobacterial engineering, with key interests in photosynthetic efficiency optimization, light-driven proton gradient utilization, and metabolic redirection for sustainable bioproducts. His team employs adaptive laboratory evolution, structural biology, and synthetic biology approaches to enhance stress tolerance (particularly to fluctuating/high light conditions) and engineer novel metabolic pathways in Synechocystis sp. PCC 6803. Current applications target hydrogen production, nitrogen fixation, and carbonate biomineralization for sustainable resource cycles. Analysis of recent publications (2017-2025) reveals consistent focus on cyanobacterial photosynthesis mechanisms, with increasing emphasis on applied biotechnology. Key trends include structural fine-tuning of photosynthetic supercomplexes, engineering of carbon concentrating mechanisms, and metabolic pathway redesign for lutein/hydrogen production. The work bridges fundamental photosynthesis research with sustainable solutions for energy and resource challenges. Prof. Dann actively supervises PhD students Vjosa Berisha and Patrick Reinmöller within a multidisciplinary team comprising postdocs (including Anne-Christin Pohland), lab administration (Christa Jacob Dann), and technical support (Christiane Sommerer). His lab participates in international consortia like PhotoRedesign aimed at enhancing photosynthetic efficiency for agricultural applications. The Bio-Inspired Energy Conversion laboratory maintains specialized facilities for cyanobacterial cultivation, spectroscopy (including P515 kinetic analysis), and metabolic engineering. Current projects integrate adaptive evolution studies with structural biology to develop cyanobacterial strains for sustainable carbonate production and enhanced light tolerance, positioning the lab at the forefront of photosynthetic biotechnology.

Sanguthevar Rajasekaranمشاهده پروفایل

استاد

• Algorithms
• Big Data Analytics
• AI and Machine Learning
• +۴ مورد دیگر

Sanguthevar Rajasekaran is the Board of Trustees Distinguished Professor and Pratt & Whitney Chair Professor of Computer Science and Engineering at the University of Connecticut. He serves as Director of the School of Computing, leading interdisciplinary research initiatives. His academic roles include overseeing academic programs, research labs, and strategic partnerships in computing and information technology. His research focuses on algorithms, big data analytics, AI/ML, quantum computing, bioinformatics, and high-performance computing. Notable contributions include advancements in record linkage algorithms, IoT time series analysis, quantum algorithms for N-body simulations, and energy-efficient solar PV systems. He has organized major conferences like ICCABS and secured grants such as the NSF Student Travel Grant for computational bio-medical sciences. Rajasekaran has authored over 250 publications across journals and conferences, with recent work emphasizing quantum computing applications, medical data analytics, and cybersecurity in IoT systems. He leads collaborative projects with industry partners and federal agencies, fostering innovation in computational science and engineering.

Michael J. Naughtonمشاهده پروفایل

استاد

• Experimental Condensed Matter Physics
• Nanotechnology
• Materials Science
• +۵ مورد دیگر

Michael J. Naughton is the Evelyn J. and Robert A. Ferris Professor of Physics at Boston College, Department of Physics. His research focuses on experimental condensed matter physics, nanoscale materials engineering, and plasmonic systems. Key areas include molecular organic superconductors, nanoscale photovoltaics, and bio/chemical sensing via nanocoax architectures. He leads a lab supported by NSF, NIH, and the W.M. Keck Foundation. Notable awards include the Boston College Distinguished Research Award (2005) and Fellow of the American Physical Society (2003). Education: Ph.D. from Boston University (Physics), B.S. from St. John Fisher College. Research group develops nanoscale devices for applications like cholera toxin detection and neural interfaces. Recent work includes plasmonic halos for molecular sensing and optrode arrays for neurophysiology. Collaborations span biology, psychology, and engineering disciplines. Lab Innovations: Nanocoax sensors (sub-ppb sensitivity), Au dendrite electrocatalysts for CO₂ electrolysis Key Projects: Wireless plasmonic communication systems, metamaterial plasmonic structures for superconductivity modulation Grants: Active funding from NSF, NIH, and private foundations Students advised include lead authors on biosensors (Michelle Archibald, Jeffrey Naughton) and nanowire fabrication (Juan Merlo, Nathan Nesbitt). His work bridges physics with biomedical and environmental challenges, addressing topics from climate change mitigation to opioid prescribing practices.

Souvik Royمشاهده پروفایل

دانشیار

• Inverse Problems in Medical Imaging
• Stochastic Models for Cancer Dynamics
• Optimization Algorithms for Cure Rate Models
• +۵ مورد دیگر

Souvik Roy is an Associate Professor in the Department of Mathematics at the University of Texas at Arlington (USA). His primary research focuses on inverse problems in medical imaging, stochastic models for cancer dynamics, and optimization algorithms for cure rate models. He leads the Center for Integrative Math-Bio and Experimental Research (CIMBEX) and has secured major grants from NSF, NIH, and UTA. His work spans interdisciplinary areas including medical imaging, signal processing in chromatography, and PDE optimal control frameworks. Education: Ph.D. in Mathematics (Tata Institute of Fundamental Research, India, 2015); B.Sc. (Honors) in Mathematics (University of Calcutta, India). Research Interests: Medical imaging algorithms, stochastic cancer modeling, numerical optimization, and mathematical biology. Awards: 2024 College of Science Teaching Award, Top Cited Article in Statistica Neerlandica (2023), Best Paper Award (2022). His lab develops algorithms for quantitative photoacoustic tomography and Fokker-Planck models for cancer treatment optimization. He has supervised 8+ Ph.D. students and co-developed software tools like CERTS and ADICC for imaging and stochastic simulations.

Prahalada Raoمشاهده پروفایل

دانشیار

• Manufacturing
• Additive Manufacturing Processes
• Sensing Technologies
• +۵ مورد دیگر

Prahalada Rao is an Associate Professor in the Department of Industrial and Systems Engineering at Virginia Polytechnic Institute and State University (Virginia Tech). He specializes in manufacturing, sensing technologies, and data science with a focus on additive manufacturing processes. His research emphasizes sensor-based monitoring, thermal physics, and quality assurance in advanced manufacturing. Education: Ph.D., Industrial Engineering, Oklahoma State University (2013) M.S., Industrial Engineering, Oklahoma State University (2006) B.Eng., Production Engineering, Victoria Jubilee Technical Institute, Bombay University (2003) His research interests include additive manufacturing (e.g., laser powder bed fusion, directed energy deposition), real-time process monitoring using heterogeneous sensors, and data-driven quality control. He has pioneered methods combining spectral graph theory and machine learning for defect detection in 3D printing. Key contributions span thermal modeling of additive processes, predictive analytics for part quality, and bio-manufacturing applications. His work has attracted over $2M in federal funding from NSF, DOE, and ONR. Awards: 2018 NSF CAREER Award for smart additive manufacturing research 2017 SME Outstanding Young Manufacturing Engineer Award 2019 UNL College of Engineering Research Award Grants & Funding: NSF CAREER: Smart Additive Manufacturing (2018-2023) DOE: Thermal Physics in Metal Additive Manufacturing (2019-2024) NSF AI Institute Planning: Secure Smart Manufacturing (2020-2023) He advises on advanced manufacturing projects and collaborates with industry on ceramic/metal 3D printing and bioprinting applications. His lab focuses on bridging sensor data analytics with manufacturing physics to achieve zero-defect production systems.

Jonathan Y. Chenمشاهده پروفایل

استاد

• Materials Science
• Nanotechnology
• Textile Engineering
• +۵ مورد دیگر

Jonathan Y. Chen is a Professor in the Department of Textiles and Apparel at The University of Texas at Austin, with over 30 years of expertise in textile science and engineering. His work bridges academic research and industrial applications in sustainable fiber technologies. His educational background includes: Ph.D. from The University of Leeds, England (1995) Postdoctoral research at Louisiana State University (1997) Dr. Chen's research centers on bio-functional micron/nano cellulose fibers for medical and apparel use, biobased nonwoven composites for automotive interiors, and activated carbon fiber materials for protective garments and filtration systems. His methodology integrates materials science, nanotechnology, and sustainable engineering to solve real-world textile challenges. Recent work emphasizes waste valorization from agricultural residues and smart textile applications in healthcare and energy storage. Analysis of his 2016-2024 publications reveals a strategic shift toward interdisciplinary solutions, particularly in biomedical textiles (30% of recent work), sustainable composites (25%), and energy-related applications (20%). His collaborations span polymer science, environmental engineering, and medical device development, reflecting the growing convergence of textile engineering with advanced material systems. Notable recognitions include: Fellow of The Textile Institute (2014) Three Faculty Research Awards from LSU School of Human Ecology (1999, 2003, 2005) Multiple award-winning papers at AATCC conferences for innovations in nonwoven recycling, natural fiber processing, and flame retardancy Dr. Chen actively mentors graduate students in textile research methodologies while securing competitive funding for projects involving cellulose nanofibers and smart textiles. His editorial roles with the Journal of Industrial Textiles and Textile Research Journal position him at the forefront of scholarly discourse in advanced materials. He contributes to UT Austin's research ecosystem through affiliations with the Texas Materials Institute and Center for Electrochemistry, where his team develops next-generation textile-based solutions for filtration, energy storage, and medical applications.

• Thermodynamics
• Fluid Mechanics
• Human Thermal Comfort
• +۸ مورد دیگر

Dr. Henry Dore is a Research Fellow in Thermodynamics and Fluid Mechanics within the School of Engineering and Informatics at the University of Sussex. He works at the Thermo-fluid Mechanics Research Center (TFMRC) and maintains an active research profile in human thermal comfort, sensor technology, and biomedical engineering applications. His interdisciplinary approach bridges engineering design with medical device development. Education: PhD in Cardio Engineering and Medical Devices, University of Sussex (2023) MSc in Advanced Mechanical Engineering, University of Sussex BEng (Hons) in Sustainable and Renewable Technology, The Open University Certified Associate Fellow (AFHEA) from the Higher Education Authority Dr. Dore's research focuses on human thermal comfort in built environments, with emphasis on energy-efficient heating and cooling systems and sustainable applications of waste heat. His work integrates numerical simulation, experimental methods, and innovative sensor technologies. He has particular expertise in ECG monitoring systems, neonatal care devices, and wearable electronics for medical applications. His publication record shows a clear trajectory in biomedical sensor development, with recent work centering on bio-signal denoising, unconventional sensor applications, and neonatal monitoring systems. The research spans multiple disciplines including biomedical engineering, thermodynamics, and electronic systems design, reflecting his interdisciplinary approach to engineering challenges at the boundaries of contrasting fields. Teaching and Supervision: Current Workshop Lead for module H7136: Sustainability in Engineering Former Doctoral Tutor for Advanced Electronic Systems, Applied Technology for Product Design, Electronic Devices and Circuit Prototyping, Embedded Systems and Sensors, and Robot Design and Implementation Dr. Dore actively participates in professional development through programs like the Sussex First Grants & Fellowship Accelerator Program and specialized training in data storytelling. His work aligns with UN Sustainable Development Goals 9 (Industry, Innovation and Infrastructure), 11 (Sustainable Cities and Communities), and 13 (Climate Action).

• Social Psychology
• Wellbeing
• Food Choice
• +۲ مورد دیگر

David Booth is an Honorary Professor in the School of Psychology at the University of Sussex. He holds a D.Sc. in Psychology from the University of Birmingham and a Ph.D. in molecular neuroscience from the University of London. His extensive academic career includes positions at Yale University, Rockefeller University, and over 40 years at the University of Birmingham before returning to Sussex in 2013. Booth's research centers on conative bio-social psychology, examining mental processing leading to intention formation. His work spans three main areas: personal mentation (information transfer across cognitive channels), personal wellbeing (measuring impacts of behavioral changes), and food choice (physiological and social influences on consumption). He employs an interdisciplinary '5E' approach: Enactive, Engaged, Encultured, Embodied, Extended cognition. His recent publications focus on sensory perception, appetite regulation, wellbeing measurement, and the psychology of helping behavior. Booth maintains an extensive publication record with over 366 works spanning cognitive psychology, nutrition science, and behavioral neuroscience.

Congyu Wuمشاهده پروفایل

استادیار

• Mobile/wearable sensing for health and behavior detection
• Social signal processing and dynamic modeling
• Crowdsensing and social computing
• +۳ مورد دیگر

Congyu Wu is an Assistant Professor at Binghamton University's School of Systems Science and Industrial Engineering. His research focuses on leveraging mobile/wearable sensing, social signal processing, and crowdsensing to advance healthcare, work performance, and community wellbeing. He holds a PhD in Systems Engineering from the University of Virginia and a BS in Industrial Engineering from Tianjin University. His key research areas include: Mobile/wearable sensing for health and behavior detection Social signal processing and dynamic modeling for group interactions Crowdsensing and social computing for population-level informatics He leads a lab exploring computational methods to address human-centric challenges, with affiliations to Google Scholar and ResearchGate. Recent work includes aiding a University of Texas study on Latina women's metabolic health risks. Advising and grant activities are ongoing.

Jian Zhouمشاهده پروفایل

استادیار

• Nanoengineering
• NEMS (Nano-Electro-Mechanical Systems)
• Nano mechanics and manufacturing
• +۲ مورد دیگر

Jian Zhou is an Assistant Professor in Mechanical Engineering at Binghamton University, joining in 2023. He holds a PhD in Mechanical Engineering from Binghamton University (2023) and completed postdoctoral research at Argonne National Laboratory in nanoengineering. His research focuses on nanoengineering, bio-inspired devices, and precision sensing tools addressing societal challenges in health, energy, and security. Notable contributions include the bio-inspired flow microphone commercialized by Soundskrit and studies on spider web acoustics featured in PNAS , Nature Physics , and BBC. His research group develops nanoscale materials, metamaterials, and ultrafast X-ray optics. Recent highlights include a 2023 Journal of Experimental Biology Outstanding Paper Prize for mosquito antennae research and an NSF grant for nano-opto-electro-mechanical systems (NOEMS). He was honored as a 'Career Champion' by students in 2024. The lab collaborates with institutions like Argonne, Penn State, Harvard, and Princeton. Publications span advanced materials, MEMS technology, and bio-inspired engineering, often appearing in interdisciplinary journals. Active areas include nanomechanical resonators, scale-dependent metamaterials, and acoustic flow sensing inspired by biological systems. Education : PhD in Mechanical Engineering (Binghamton University, 2023) Awards : 2023 Journal of Experimental Biology Prize, Career Champion (2024) Funding : NSF Award for NOEMS research (2024) His lab seeks PhD candidates interested in nanotechnology, MEMS, and bio-inspired systems. Contact via jianzhou@binghamton.edu for opportunities.

Thomas Ottمشاهده پروفایل

استاد

• Bio-inspired Computing
• Applied Neuroinformatics
• Machine Learning
• +۷ مورد دیگر

Prof. Thomas Ott is the Director of the Institute of Computational Life Sciences at the ZHAW School of Life Sciences and Facility Management. His research focuses on Bio-inspired Computing, Applied Neuroinformatics (including Pattern Recognition and Machine Learning), Modelling of Complex Systems, and Forecast Methodologies for Traffic/Logistics. He leads projects in AI-driven health systems, ecological sustainability, and industrial analytics. Ott has collaborated on over 50 peer-reviewed publications, with recent work emphasizing neuromorphic computing, predictive analytics in healthcare, and chaos-based network analysis. Education & Affiliations: His academic background includes prior roles at institutions like the University of Zurich and ETH Zurich. He serves on boards of Prognosix AG, Life Sciences Zurich Business Network, and Biotechnet Switzerland. Research Interests: Ott’s work bridges computational methods with real-world applications, such as AI for agriculture (fruit classification), predictive maintenance in healthcare systems, and traffic flow optimization. His team develops hybrid human-machine learning frameworks for complex decision-making processes. Projects & Grants: Key projects include 'Shapescience – AI for Morphologically-Based Fruit Recognition', 'Predictive Analytics for Hospital Supply Chains', and 'Smartstones - AI for Plant Breeding'. These reflect his focus on applied AI solutions for industry and public health. Labs & Teams: He oversees interdisciplinary teams at ZHAW’s Computational Life Sciences lab, integrating computer science, biology, and engineering for innovative problem-solving.