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Richard MartinView profile

Professor

• Photonics
• Millimeter-Wave Imaging
• Low-Noise Amplifier Circuits
• +5 more

Richard Martin is a Professor of Practice in the Department of Electrical and Computer Engineering at the University of Delaware. He holds a B.S. in Physics from Millersville University and advanced degrees (M.B.A., M.S.E.E., Ph.D.) from UD. His doctoral research at NASA’s Jet Propulsion Laboratory (JPL) focused on photonic devices under a NASA fellowship. With over 25 years of industrial experience, he specializes in low-noise amplifier circuits, photonics-based sensors, and embedded systems design. He transitioned to full-time faculty in 2017, teaching courses on microcontroller systems, analog circuits, and IoT devices. He also serves as an affiliated faculty member at UD’s Horn Entrepreneurship Program and as CTO of Resonate Forward LLC, a startup developing wearable devices for Parkinson’s Disease therapy. Education: B.S., Physics, Millersville University of Pennsylvania M.B.A., University of Delaware M.S.E.E., University of Delaware Ph.D., Electrical Engineering, University of Delaware Research Interests: Dr. Martin’s work spans millimeter-wave imaging systems, optically enabled sensors, embedded systems, and IoT device development. His recent projects include video-rate passive millimeter-wave imagers for degraded visual environment mitigation and polarization-sensitive imaging sensors. His research emphasizes practical applications in fields like aerospace, medical technology, and defense. Advising & Industry Engagement: As CTO of Resonate Forward LLC, he leads development of wearable therapeutic devices. His career includes roles at W.L. Gore & Associates and technology startups, reflecting a strong focus on bridging academic research with industrial innovation. Labs & Teams: Affiliated with the Horn Entrepreneurship Program, he collaborates on tech startups and entrepreneurship education. His research leverages advanced fabrication techniques in multilayer substrates (e.g., LCP) and optical upconversion methodologies for imaging systems.

Zjenja DoubrovskiView profile

Assistant Professor

• Additive Manufacturing
• Materials Science
• Mechatronics
• +3 more

Zjenja Doubrovski is an Assistant Professor at the Faculty of Industrial Design Engineering, Delft University of Technology. They hold an MSc in Integrated Product Design (Cum Laude, 2010) and a PhD in Additive Manufacturing (2016). Their research focuses on multi-material Additive Manufacturing (AM), meta-materials, and bio-inspired design, with applications in mechatronics and robotics. They collaborate closely with the 3D printing industry and supervise graduation projects expanding this field. Education includes teaching courses like Computational Fabrication , Computer-Aided Design , and Digital Materials . Awards include the 2023 Best Paper Honourable Mention and the 2013 Best Young Presenter Award at eCAADE. Research interests span soft robotics, 4D printing, sustainable materials, and biohybrid systems. Their work bridges design methodologies with advanced manufacturing technologies, emphasizing innovation and practical collaboration. Research Highlights: Biomimetic composites, smart mechanics, and living materials for carbon absorption. Key Collaborations: Industry partnerships for AM applications, EU-funded projects on sustainable design.

Meryem Ayşe YücelView profile

Research Professor

• Functional Near-Infrared Spectroscopy
• Brain Imaging
• Clinical Applications
• +3 more

Meryem Ayşe Yücel serves as a Research Associate Professor in the Department of Biomedical Engineering at Boston University's College of Engineering, where she also holds the position of Technical Director for the Neurophotonics Center. Her work bridges engineering innovation with clinical neuroscience applications, focusing on advancing functional Near-Infrared Spectroscopy (fNIRS) technology for real-world implementation. Dr. Yücel earned her PhD in Biomedical Engineering from Bogazici University in Turkey. Her educational foundation supports her interdisciplinary approach to neuroimaging research. Her research centers on developing and refining fNIRS methodologies for brain imaging, with particular emphasis on clinical translation and accessibility. She investigates cortical activation patterns during naturalistic activities like walking, conversation, and cognitive tasks, applying these insights to conditions including knee osteoarthritis, aphasia, stroke recovery, and pediatric development. Her work consistently addresses critical barriers in neuroimaging such as signal quality across diverse skin and hair types, driving inclusive research practices. Recent publications highlight her leadership in standardization efforts through projects like the fNIRS glossary and NIRS-BIDS data framework. Analysis of her recent publications reveals a strong trajectory toward mobile, high-density fNIRS systems operating in natural environments. Her research increasingly integrates multimodal approaches (fNIRS-EEG), develops open-source hardware (ninjaNIRS, ninjaCap), and establishes reproducibility standards for the field. Clinical applications dominate her output, particularly in pain assessment, rehabilitation, and cognitive neuroscience. Dr. Yücel's scientific recognition includes: Society of Functional Near-Infrared Spectroscopy Community Award (2022) Light of the Lab Award for Functional Inclusiveness (2022) TUBITAK Fellowships for Visiting Scientists (2022) Facebook Award for Engineering Approaches to Responsible Neural Interface Design (2021) SfNIRS Early Investigator Award Finalist (2016) Britton Chance Symposium Travel Award (2013) TUBITAK Integrated Doctoral Fellowship (2006-2010) As Technical Director of the Neurophotonics Center, she leads a multidisciplinary team developing next-generation optical brain imaging systems. Her leadership extends to community-building initiatives that promote open science and methodological rigor in fNIRS research, while her Facebook-funded project demonstrates successful translation of engineering solutions to neural interface challenges. The Neurophotonics Center under her technical direction pioneers wearable fNIRS technologies for naturalistic neuroscience, with recent innovations including flexible circuit-based imaging systems and 3D-printable headgear that enable high-density measurements during real-world activities. This work directly supports her research on brain function during daily movements and clinical applications.

Leonardo MorsutView profile

Assistant Professor

• Synthetic Biology
• Stem Cell Biology
• Regenerative Medicine
• +3 more

Leonardo Morsut is an Assistant Professor in the Department of Stem Cell Biology and Regenerative Medicine at the Keck School of Medicine, University of Southern California. His research focuses on synthetic biology and tissue engineering, aiming to program mammalian cells for controlled tissue morphogenesis and regeneration. He leads the Morsut Lab, which integrates computational modeling, protein engineering, and stem cell biology in an iterative framework to understand and manipulate tissue self-organization. University: University of Southern California School: Keck School of Medicine Department: Stem Cell Biology and Regenerative Medicine Academic Rank: Assistant Professor Research Interests: Dr. Morsut's work combines synthetic biology with developmental systems to engineer multicellular constructs. His lab specializes in synthetic Notch receptors, genetic circuit design, and controlling spatio-temporal patterning during tissue formation. Key areas include programmable material-to-cell pathways, juxtacrine signaling networks, and computational frameworks for morphogenesis modeling. Recent Publications Trends: His 2024-2025 studies emphasize precise spatial control of differentiation in organoids using synthetic Wnt organizers, programmable material interfaces, and dynamic cell growth feedback. Earlier works focus on transgene silencing mechanisms, mucin-driven morphogenesis, and density-dependent signaling in multicellular systems. Laboratory Mission: The Morsut Lab aims to build functional tissues through synthetic biology tools while training future regenerative medicine leaders. They utilize interdisciplinary approaches from engineering, computational biology, and developmental systems to create programmable multicellular structures.

Jeroen B.M. van WaesView profile

Professor

• Power Quality
• Electrical Engineering
• Energy Transition
• +7 more

Jeroen B.M. van Waes is a Professor at the Department of Electrical Engineering , Eindhoven University of Technology (TU/e) . He also serves as a Network Strategist at TenneT (since 2017) and previously worked as a consultant at Movares (2001–2017). His research focuses on ensuring power quality in evolving energy networks, particularly addressing voltage dips, harmonics, and the impact of renewable energy integration. He actively contributes to international committees like CIGRE and chairs the Dutch standardization committee NEC 8. Van Waes holds an MSc (1996) and PhD (2003) in Electrical Engineering from TU/e. His PhD thesis on grounding safety earned him the Hidde Nijland Prize in 2004. He has been a key figure in addressing technical performance standards for power systems through roles in CIGRE’s national study committees and working groups on power quality and EMC. His research interests span the energy transition’s effects on grid stability, voltage quality specifications, and collaborative approaches to infrastructure challenges. Recent work emphasizes case studies on short-circuit power dynamics, voltage unbalance in overhead lines, and future network trends. He advocates for interdisciplinary solutions to ensure reliable power supply amid systemic changes. Awards: Hidde Nijland Prize (2004) Advising & Grants: While no student names are explicitly listed, he has supervised 4 works. His role at TenneT and TU/e involves strategic grant-funded projects analyzing grid resilience and voltage quality under energy transition scenarios. Collaborations include TenneT, Movares, and organizations like ProRail and KEMA/DZL. Labs & Teams: He is affiliated with the Electrical Energy Systems (EES) group at TU/e’s Department of Electrical Engineering. His work integrates with TenneT’s operational teams and academic-industrial partnerships, focusing on real-world network challenges and standardization efforts.

Amir BorjiView profile

Academic

• Antenna Engineering
• Electromagnetics
• Wireless Communications
• +3 more

Amir Borji is a Research Assistant Professor and Sessional Lecturer at the University of Waterloo. His work focuses on advanced antenna engineering, electromagnetics, and microwave systems with a strong emphasis on millimeter-wave technologies, computational electromagnetics, and RF systems design. Research Interests: Design and analysis of millimeter-wave antennas and phased arrays Electromagnetic modeling of periodic structures and metamaterials Optimization of antenna performance in high-frequency regimes Integration of substrate integrated waveguides (SIW) in antenna systems Recent work highlights include developing low-profile mmWave 5G antennas, analyzing graphene-based periodic structures, and improving broadband tunable systems. His publications reflect a trend toward practical solutions for modern wireless communication challenges. Scientific Awards: None explicitly listed in the provided information. Advising/Grants: No specific students, grants, or lab affiliations mentioned in the current data. His contributions appear primarily through independent and collaborative research publications.

Richard A. AndersenView profile

Professor

• Neuroscience
• Neural Prosthetics
• Brain-Machine Interfaces
• +3 more

Richard A. Andersen is the James G. Boswell Professor of Neuroscience and Director of the T&C Chen Brain-Machine Interface Center at California Institute of Technology. He holds the T&C Chen Brain-Machine Interface Center Leadership Chair. His research focuses on neural mechanisms underlying decision-making, motor planning, and the development of brain-machine interfaces (BMIs) for paralyzed patients. Andersen earned his B.S. from UC Davis (1973) and Ph.D. from UCSF (1979). His work bridges neuroscience, engineering, and clinical applications, emphasizing restoring independence through neuroprosthetics. Key research interests include decoding intentions from posterior parietal cortex signals, functional ultrasound neuroimaging, and somatosensory feedback in BMIs. He leads interdisciplinary collaborations with engineers, clinicians, and theorists. Notable achievements include pioneering BMI technology allowing tetraplegics to control robotic limbs and computers via thought. Andersen also explores internal speech decoding and neural repair via brain stimulation. Received the Prize for Outstanding Achievements in Neurological Research. Directs the Chen BMI Center, advancing clinical trials and translational research. Collaborates with institutions like USC, UCLA, and the University of Colorado on BMI development. Advocates for ethical neurotechnology, emphasizing human-centric applications. Lab personnel include postdoctoral researchers and engineers working on BMI hardware, decoding algorithms, and clinical testing. Current projects include bidirectional BMIs for sensory feedback and AI-enhanced neural signal analysis.

• Film Production
• Cinematography
• Documentary Filmmaking
• +3 more

Michael Peel is an Associate Professor and Director of Content in Liberal Arts at Regent's University London, where he lectures across undergraduate, postgraduate, and foundation programs. He is also a Senior Fellow with the Higher Education Academy and serves as an External Examiner for both Xi'an Jiaotong/Liverpool University and the University of Wolverhampton. Current Position: Associate Professor, Director (Content) Liberal Arts Institution: Regent's University London Professional Affiliations: Senior Fellow HEA, Certified Da Vinci Resolve Trainer, CAA Remote Pilots License holder External Roles: External Examiner for multiple universities Peel's research focuses on creative practice in film production, with particular emphasis on cinematography, post-production, media management, and the application of new technologies including drone cinematography. His scholarly work includes an article review of Michael Polanyi's 'The Tacit Dimension' published in the 2018 issue of Philological Studies and Research. His creative output demonstrates a strong commitment to both theoretical understanding and practical application in filmmaking. His filmography shows consistent engagement with festival circuits, with works screened at international venues including Miami International SciFi, Cardiff International, Chicago International Genre, and Cannes Short Film Corner. Peel's creative research approach bridges academic theory with professional practice, creating a unique synergy between his scholarly and artistic pursuits. Best Documentary Feature Film - Documentary Screen Awards 2020 Best Editing in a Documentary - Documentary Screen Awards 2020 Nominated for Best Cinematography Award - Southampton International Film Festival 2018 Finalist - New York International Film Awards 2020 As an educator, Peel has developed expertise across film production, cinematography, multi-camera TV studio production, postproduction, color grading, and location-based filming. His professional background includes work with BBC News, BBC Manchester, BBC South, and marketing campaigns for the RSPH. He co-founded BottleRocket Film, a London-based production company that produces dramas, corporate content, and documentaries, demonstrating his commitment to maintaining active professional practice alongside academic work. Peel maintains several professional certifications including Apple-certified FCPX Trainer and Tiffen-certified Steadicam Operator, reflecting his dedication to staying current with industry technologies and practices. His dual role as practitioner and academic creates a valuable bridge between industry and education in the field of film and media production.

• Computational Neuroscience
• Statistics
• Machine Learning
• +4 more

Robert E. Kass is the Maurice Falk University Professor of Statistics and Computational Neuroscience at Carnegie Mellon University, with affiliations in the Department of Statistics & Data Science, Machine Learning Department, and Neuroscience Institute. His career spans statistics, machine learning, and neuroscience, focusing on statistical methods for analyzing neural data, particularly spike trains and brain connectivity. Research highlights include: Developing statistical frameworks for neural data analysis Investigating neural oscillations and cross-regional interactions Contributing to neuroscience education through Neuromatch Academy Exploring intersections between statistics, machine learning, and scientific inference Scientific awards and recognitions include: Outstanding Statistical Application Award (ASA) Distinguished Achievement Award (COPSS, 2017) Election to National Academy of Sciences (2023) Fellowships in ASA, IMS, AAAS His recent publications focus on: Neural circuit oscillations and phase-amplitude analysis Latent dynamic modeling of high-dimensional neural recordings Population-level neural interactions and connectivity Educational frameworks for computational neuroscience training Methodological bridges between statistics and machine learning Advanced graphical models for neural synchronization studies

Itia Favre-BulleView profile

Research Fellow

• Optical Physics
• Neuroscience
• Zebrafish Models
• +3 more

Dr. Itia Favre-Bulle is an ARC DECRA Research Fellow at The University of Queensland's Queensland Brain Institute. Her interdisciplinary research merges optical physics and neuroscience, focusing on zebrafish models to study sensory processing, neural circuits, and optogenetic techniques. She pioneers applications of optical tweezers for vestibular and auditory systems, developing imaging systems with real-time feedback. Notable contributions include elucidating noradrenergic system roles in sensory modulation and advancing light-sheet microscopy for neural population studies. Her work spans publications on optogenetics, auditory networks in neurodevelopmental disorders (e.g., fragile X syndrome), and multiscale neuronal activity analysis. She has authored a book on imaging techniques in zebrafish and contributed chapters on optical manipulation of otoliths. Key awards include the ARC DECRA Fellowship (2018). Research interests: optical tweezers, neural circuit mapping, zebrafish sensory systems Technique development: optogenetic systems, calcium imaging, light sculpting Collaborations: University of Queensland, international optics groups Her lab investigates brain-wide responses to sensory inputs, with recent work on auditory habituation and sedation effects. Ongoing projects explore multiscale neural dynamics and mechanobiology applications of optical tools.

Alice H. SuroviecView profile

Professor

• Bioanalytical Chemistry
• Electrochemistry
• Nanotechnology
• +4 more

Alice H. Suroviec is a Professor of Bioanalytical Chemistry and Dean of The School of Mathematical and Natural Sciences at Berry College. She holds a B.S. in Chemistry from Allegheny College (2000) and a Ph.D. in Chemistry from Virginia Tech (2005). Her research focuses on biosensor development, enzymatically modified electrodes, and self-assembled monolayers on nanomaterials. She teaches courses in Analytical Chemistry, Food Chemistry, and General Chemistry. Her work emphasizes electrochemical methods for environmental and biomedical applications, including the detection of organophosphates, catechins in tea, and biomolecules like hemoglobin. She actively contributes to undergraduate laboratory education, developing accessible electrochemistry experiments and biosensor protocols. As Dean, she oversees interdisciplinary programs in the School of Mathematical and Natural Sciences. Notable professional roles include serving as an Associate Editor for the Journal of the Electrochemical Society and on the Board of Directors for the Society of Electroanalytical Chemists. Her research integrates nanotechnology with electrochemistry to advance sensor technology and analytical methodologies. Her advising and grants section remains unspecified in available records, though her extensive publication record reflects sustained contributions to bioanalytical and electrochemical research. She is affiliated with McAllister Hall at Berry College and maintains active collaboration in material science and analytical chemistry.

• VLSI Design
• Integrated Circuits
• Computer Architecture
• +6 more

Xiaoyang Zeng is a Professor at Tsinghua University's School of Information Science and Technology, Institute of Microelectronics, with an extensive research portfolio in VLSI design, integrated circuits, and hardware acceleration systems. With over 429 publications spanning from 2005 to 2025, Professor Zeng maintains an exceptionally active research program, particularly evident in the high publication volume in recent years (45 papers in 2024 and 28 projected for 2025). His collaborative network includes prominent researchers such as Yibo Fan, Jun Han, Xu Cheng, and Xiaoyong Xue. Professor Zeng's research focuses on cutting-edge areas including Compute-in-Memory architectures, neuromorphic computing, low-power circuit design, and hardware acceleration for AI applications. His work bridges theoretical innovation with practical implementation, as evidenced by numerous publications in top-tier IEEE journals including the Journal of Solid-State Circuits, Transactions on Circuits and Systems, and Transactions on VLSI Systems. Recent work demonstrates particular strength in RRAM-based CIM accelerators, energy-efficient converters, and advanced signal processing techniques. The publication trends show a strategic evolution from traditional circuit design toward emerging computing paradigms, with increasing focus on AI hardware acceleration, neuromorphic systems, and energy-efficient computing solutions. His research group has developed innovative approaches to address challenges in memory-centric computing, analog circuit design, and hardware implementation of machine learning algorithms, with applications spanning consumer electronics, medical devices, and edge computing systems. Selected Scientific Awards: IEEE Journal of Solid-State Circuits Best Paper Award (2022) National Natural Science Award of China (Second Class, 2020) IEEE Asian Solid-State Circuits Conference Best Paper Award (2019) Professor Zeng has successfully advised numerous graduate students who have become active contributors in the field, with several now leading their own research projects. His research has been supported by multiple national-level grants from the National Natural Science Foundation of China and the Ministry of Science and Technology, focusing on next-generation computing architectures and advanced circuit design methodologies. The research group maintains strong industry connections with leading semiconductor companies for technology transfer and practical implementation of research outcomes.

Michael NiedermayerView profile

Professor

• Electrical Engineering
• Measurement Technology
• Intelligent Sensors
• +3 more

Prof. Michael Niedermayer holds a dual Ph.D. in Electrical Engineering and Economics from TU Berlin. He is a Professor at the Berlin School of Economics and Law (BHT) within the Department of Electrical Engineering and Mechatronics, specializing in sensor technology, wireless networks, and cost-driven microsystem design. His research focuses on self-sufficient sensor systems, energy-efficient networks, and industrial automation. He leads the Technology-Oriented Design Methods group at the Fraunhofer Institute for Reliability and Microintegration. He chairs the IARIA/IEEE ALLSENSORS conference series (since 2017) and serves on technical committees for sensor technology conferences globally. His work includes over 20 patents, including innovations in electronic circuit manufacturing, sensor networks, and cooling systems for microelectronics. Publications highlight his contributions to cloud-based sensor networks, failure prediction systems, and cost optimization methodologies. His book Cost-Driven Design of Smart Microsystems (2011) is a seminal work in the field. Awards include the 2013 Best Paper Award at SENSORCOMM for his work on self-sufficient sensor systems. Teaching spans courses like 'Fundamentals of Measurement Technology,' 'Sensor Networks,' and 'Intelligent Sensors,' reflecting his expertise in both theoretical and applied aspects of electrical engineering.

• Microelectronics
• Embedded Systems
• IoT (Internet of Things)
• +4 more

Enrique Ostúa Arangüena is an Associate Professor in the Department of Electronic Technology at the University of Seville. He is part of the Digital Research and Development group and has been involved in numerous research projects focused on microelectronics, embedded systems, and FPGA-based solutions. His work includes contributions to IoT security, real-time systems, and hardware-oriented file systems. He has led or participated in projects such as USECHIP (Microelectronics Chair), Advanced Initiation Systems for IoT, and Hardware Vorbis CODEC development. His research spans digital circuit design, low-power electronics, and FPGA implementation, with emphasis on applications like time synchronization (SNTP), cryptographic hardware (E-LUKS), and embedded system optimization. He has authored chapters in books such as Grid Computing and Program of Teaching Teams for the Training of Novice Teachers , and has presented at conferences like the IBERCHIP Workshop and IEEE Symposium on Industrial Embedded Systems. Key contributions include patents on trigonometric function calculators and hardware security modules. He has collaborated extensively with researchers like David Guerrero Martos and Julián Viejo Cortés, focusing on methodologies for teaching digital electronics and FPGA-based SOC design. His work emphasizes open-source technologies, hardware-software co-design, and practical applications in industrial control systems.

Martin CoathView profile

Academic

• Climate Change
• Educational Research
• Public Engagement Training
• +3 more

Dr. Martin Coath serves as an Associate Lecturer within the Doctoral College at the University of Plymouth, alongside roles as a Senior Researcher at the University of Lapland’s Arctic Centre and an Academic Adviser for education projects at Canterbury Christ Church University. With prior experience across multiple institutions including the Universities of Essex, Nottingham, and Reading, his career spans research, teaching, and academic advising. His research interests evolved from computational neuroscience—focusing on neural models of auditory systems—to climate change, educational research, and public engagement. Current work emphasizes transdisciplinary collaboration, climate service development for winter tourism in Northern Finland, and science communication in educational settings. Key projects include co-designing the SnowApp climate service and developing educational tools like the How Scientific is that? guide. He actively bridges academic and business sectors through climate-related case studies and roadshows. Publications span neurocomputational models of perception, climate service frameworks, and educational methodologies. His transdisciplinary approach addresses global challenges such as sustainability and science literacy.