جست‌وجوی استاد و پژوهشگر

• Thin Film Solar Cells
• Materials Science
• Semiconductor Device Physics
• +۳ مورد دیگر

Dr Jon Major is a Lecturer at the University of Liverpool's School of Physical Sciences, Department of Physics. He works within the Stephenson Institute for Renewable Energy, focusing on materials science and device physics for thin film solar cells. His research interests include: Thin Film Solar Cells Renewable Energy Semiconductor Defects Transparent Conductive Oxides Recent publications highlight advancements in: Semiconductor transport layers Photoelectrochemical reactors for solar hydrogen Material characterization techniques Antimony-based photovoltaic materials Dr Major has secured multiple EPSRC grants for projects spanning 2015 to 2026, including: Bandgap manipulation in antimony chalcogenides (2022-2026) Nanoscale interfacial engineering (2022-2026) Electrical characterization methods (2018-2020) He currently serves as a Photovoltaics and Photocatlysis Editor for Materials Science in Semiconductor Processing (2022-2026) and teaches: PHYS372: Energy Generation and Storage PHYS106: Practical Physics I

• Biomaterials
• Micro and Nanotechnology
• Microfabrication
• +۷ مورد دیگر

Inês Figueiredo Pereira is an Assistant Professor in the Microsystems group within the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). Born in 1994 in Viseu, Portugal, she has established herself as a promising researcher in biomedical engineering with a focus on innovative medical devices for healthcare applications. Her academic background includes: BSc in Biomedical Sciences (2015) from University of Beira Interior MSc in Biomedical Materials and Devices from University of Aveiro in CICECO – Aveiro Institute of Materials PhD (cum laude, 2023) from Eindhoven University of Technology Dr. Pereira's research expertise encompasses biomaterials, micro and nanotechnology, microfabrication, sensors and actuators, soft microvalves, stimuli-responsive materials, and microfluidics. Her work is dedicated to advancing wearable and implantable medical devices, with particular emphasis on enhancing diagnostics, disease prevention, and improving treatment outcomes for patients. Her research bridges engineering principles with medical applications, creating innovative solutions for complex healthcare challenges. Her publication record demonstrates a strong focus on minimally invasive glaucoma implants, with multiple high-impact papers published in 2023-2024. Her work spans from fundamental microfluidic principles to practical medical device implementation, showing a consistent trajectory of innovation in ophthalmic medical devices. The research shows particular strength in magnetic actuation mechanisms, biocompatible materials, and microfabrication techniques for medical applications. Dr. Pereira has secured research funding through the Chemelot Institute for Science & Technology (InSciTe) under grant agreement BM3.03 SEAMS, and by the Dutch Ministry of Education, Culture and Science for the Gravitation Program Interactive Polymer Materials (024.005.020). She teaches Microfabrication methods and continues her research in the Microsystems group led by Professor Jaap den Toonder, contributing significantly to both academic instruction and cutting-edge research in her field.

Changjae Ohمشاهده پروفایل

مدرس

• Computer Vision
• Robotics
• Machine Learning
• +۴ مورد دیگر

Dr. Changjae Oh is a Lecturer in Multimedia at the School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London (QMUL). He is affiliated with the Centre for Multimodal AI, Centre for Intelligent Sensing, Computer Vision Group, and Advanced Robotics at Queen Mary. His research focuses on embodied agents, combining robotics and computer vision to enable precise environmental perception and action execution. Current research interests include human-to-robot handover, 3D computer vision, robust machine learning, and vision-language models for robot perception. Research group includes PhD students working on topics like adversarial policy learning, vision-language models, and federated learning for malaria prediction. Recent publications emphasize stereo vision, object pose estimation, and transformer-based architectures. Grants include funding from the Royal Society and Korea Institute for Advancement of Technology for projects on generative models and multi-modal foundational models.

Franz Faupelمشاهده پروفایل

استاد

• Nanomaterials
• Sensors
• Materials Science
• +۷ مورد دیگر

Prof. Franz Faupel is Chairholder of the Chair for Multicomponent Materials at the University of Kiel. His research focuses on advanced materials science, particularly in the areas of nanotechnology, functional polymers, and sensor development. Key interests include memristive systems, neuromorphic materials, and the design of thin films for energy and biomedical applications. Collaborations with institutions like the Chair for Functional Nanotechnology (Prof. Adelung) highlight his interdisciplinary approach. His work integrates experimental and theoretical methods to address challenges in material synthesis, surface functionalization, and device fabrication. Notable projects include strain-invariant organic conductors, ultra-lightweight foam frameworks, and high-sensitivity magnetic field sensors. Research emphasizes practical applications in healthcare, environmental monitoring, and energy storage systems. Prof. Faupel’s sensor innovations span gas detection (e.g., hydrogen sensors with humidity stability), photocatalytic nanocomposites, and delta-E effect-based magnetic field sensors achieving nanotesla resolution. His team explores novel deposition techniques like initiated chemical vapor deposition (iCVD) and gas aggregation cluster sources to tailor material properties at the nanoscale. Advancing neuromorphic computing through silver nanoparticle networks and investigating memristive systems with long-term temporal correlations are central to his current research trajectory. His contributions bridge fundamental material science with engineering solutions for real-world challenges.

• Materials Science
• Nanotechnology
• Plasma Synthesis
• +۴ مورد دیگر

Dr. Thomas Strunskus is a Senior Research Scientist at the Chair for Multicomponent Materials, part of the Faculty of Materials Science and Engineering at Kiel University. His work focuses on plasma-based synthesis of nanomaterials, surface functionalization, and advanced material characterization. He holds a Ph.D. in Physical Chemistry from Heidelberg University (1993) and conducted postdoctoral research at the University of Maine in Orono, where he earned a Master’s in Physics. Research interests include metal/polymer interfaces, nanocomposites, and functional coatings. Key contributions include the development of strain-invariant all-organic conductors (collaboration with Prof. Adelung), plasma-enabled carbon nanomaterials, and sensor technologies. He specializes in synchrotron-based X-ray techniques (XPS, NEXAFS) and has contributed to iCVD polymer thin film applications in bio-interfaces. Recent publications emphasize low-temperature plasma synthesis, neuromorphic nanoparticle networks, and energy storage systems. Dr. Strunskus serves on the editorial board of Materials and has authored over 200 peer-reviewed articles. His work bridges fundamental materials science with applications in energy, sensors, and biomedical engineering. Advising: Supervises PhD students in the Chair’s research group. No specific grants mentioned; focus on lab-based projects. Labs/Teams: Core member of the Chair for Multicomponent Materials, collaborating with functional nanotechnology groups on interdisciplinary projects.

Sen Chengمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Mechanisms of Learning and Memory
• Hippocampal Dynamics
• +۵ مورد دیگر

Prof. Sen Cheng is a Professor at the Institute of Neuroinformatics (INI), part of the Faculty of Computer Science at Ruhr-Universität Bochum. His research focuses on computational neuroscience, particularly the neural mechanisms underlying learning, memory, and spatial navigation. He leads a lab investigating hippocampal dynamics, combining mathematical modeling with optogenetic and electrophysiological data analysis. Collaborations span neuroscientists in Germany and internationally. Research interests include hippocampal replay mechanisms, episodic memory functions, and the interplay between sensory inputs and neural networks. His work bridges computational models (e.g., spiking neural networks) with experimental data from rodents and humans. Recent projects explore deep reinforcement learning agents for spatial navigation and the role of grid cells in cognitive mapping. Publications span Neuron , Current Biology , and eLife , addressing topics like hippocampal network stabilizations, spatial coding efficiency, and cerebellar contributions to fear extinction. Teaching includes courses on computational neuroscience, artificial neural networks, and mathematical psychology. Lab activities involve interdisciplinary research through colloquia like Brains in Space and supervision of master’s and bachelor’s theses in areas like reinforcement learning algorithms and embodied associative networks. The INI’s mission drives his work, linking biological insights to artificial cognitive systems design.

Donghyun Kimمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Dr. Donghyun Kim is an Assistant Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst since 2021. He held postdoctoral roles at MIT's Biomimetic Robotics Lab (2019-2020) and the University of Texas at Austin's Human-Centered Robotics Lab (2018). He earned his PhD in mechanical engineering from the University of Texas at Austin (2017), an MS from Seoul National University, and a BS from KAIST. Kim's research focuses on control architectures for dynamic legged robots, emphasizing experimental validation and real-world hardware constraints. He extends his work into perception and machine intelligence to enhance autonomy and versatility. Key areas include humanoid and quadruped systems, assistive robotics (e.g., guide dog robots), and sensor integration using event cameras. His research interests span robotics control systems, biomechanical modeling, human-centered design, and AI-driven perception. Recent projects highlight the fusion of theory and practice, such as developing robots capable of mimicking animal movement and ensuring safety in unstructured environments. Kim has received the Best Paper Award in Transactions on Mechatronics (2020) and the Best Paper Award at CHI 2024 for human-centered guide dog robotics. His publications reflect trends in autonomous systems, perception algorithms, and bridging robotics with real-world applications. In advising, no formal PhD/Master’s students are listed, but his postdoctoral roles suggest prior mentorship. He has reviewed for major robotics conferences and journals, contributing to academic rigor. His Dynamic and Autonomous Robotic Systems (DARoS) Laboratory advances control strategies and sensor-driven autonomy for real-world robotics challenges.

Tauhidur Rahmanمشاهده پروفایل

استادیار

• Mobile and Sensor Systems
• Artificial Intelligence
• Health Informatics
• +۵ مورد دیگر

Tauhidur Rahman is an Assistant Professor at the Halıcıoğlu Data Science Institute, UC San Diego, and directs the MOSAIC Lab. His research focuses on mobile health technologies leveraging acoustic/electromagnetic signals from the human body/environment to monitor health behaviors (e.g., eating, sleep, addiction) and environmental factors (e.g., food quality, disease spread). His work integrates applied physics, machine learning, and embedded systems to create low-power, unobtrusive sensing solutions. Education: PhD in Information Science, Cornell University (2017) MS in Electrical Engineering, University of Texas at Dallas (2012) BS in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (2009) Research Interests: Rahman's work spans three core areas: Sensor Development: High-fidelity capture of physiological/environmental signals using novel modalities like backscattered waves Signal Interpretation: Algorithm development to map raw signals to behavioral/health metrics (e.g., eating patterns, opioid cravings) Mobile Computing: Efficient implementation of algorithms in low-resource devices Recent Trends in Publications: Recent work emphasizes opioid use tracking, mental health interventions, and digital epidemiology. Notable projects include FluSense (influenza surveillance) and OpiTrack (clinical opioid monitoring), demonstrating real-world impact through NIH/NSF/DARPA funding. Awards: Google Research Scholar Award 2023 Google PhD Fellowship 2016 ACM Ubicomp Best Paper Honorable Mention (2015) Outstanding Teaching Award (Cornell, 2015) Grants & Labs: Current funding includes NIH grants for opioid research and NSF awards for sleep/cognitive studies. His lab collaborates with clinical partners and industry (e.g., Intel Pandemic Response Initiative). He co-founded the Digital Biomarkers Workshop series and edited Springer's Contactless Human Activity Analysis .

Ulrich Pomperمشاهده پروفایل

پژوهشگر

• Multisensory Processing
• Cognitive Neuroscience
• Auditory Perception
• +۴ مورد دیگر

Ulrich Pomper is a Researcher at the University of Vienna's Faculty of Psychology, Department of Basic Psychological Research and Research Methods. His work focuses on multisensory processing, attention mechanisms, and neural oscillations. He has held postdoctoral positions at UCL Ear Institute (London) and Charité Berlin, and completed his PhD on multisensory integration in 2014 at the University of Bremen. He has supervised multiple MSc students and received grants from ARO, Action on Hearing Loss, and the Organization for Computational Neuroscience. Education: Diploma in Psychology (University of Vienna, 2009, honors). Key training includes workshops on EEG/MEG analysis (Nijmegen), neuromorphic engineering (Telluride), and fMRI methods (Bremen). He has contributed to research on auditory neuroscience, cognitive control, and the impact of yoga on cognitive performance. Research interests include temporal orienting, auditory perception, and the neural bases of sensory integration. His recent work explores rhythmic sensory stimulation effects and yoga's impact on task-switching efficiency. He has published over 25 peer-reviewed articles and actively reviews for journals like NeuroImage and Journal of Neurophysiology. Notable achievements include public engagement with BBC Science in Action and TV appearances discussing music's emotional effects on the brain. He co-founded a state-of-the-art EEG lab at Charité Berlin in 2011-2012, featuring advanced neuroimaging setups.

Mercedeh Khajavikhanمشاهده پروفایل

دانشیار

• Photonics
• Nonlinear Optics
• Topological Photonics
• +۳ مورد دیگر

Mercedeh Khajavikhan is Associate Professor of Electrical and Computer Engineering-Electrophysics and Physics and Astronomy at the University of Southern California. Her research advances photonic technologies through fundamental studies of non-Hermitian physics, topological photonics, and nonlinear optical phenomena. Professor Khajavikhan's work bridges theoretical concepts and device engineering, developing novel laser systems, optical sensors, and photonic computing platforms. Her group explores quantum and classical light-matter interactions in structured photonic environments, with recent focus on optical thermodynamics, synthetic dimensions, and non-Hermitian topological states. Research highlights include: Nonlinear topological photonics and optical thermodynamics PT-symmetric laser systems and exceptional point physics Photon gas thermodynamics and condensation phenomena Weyl semimetal integrated photonic devices

Roel Jordansمشاهده پروفایل

استادیار

• Hardware Architectures
• Compilation Techniques
• Design Automation
• +۲ مورد دیگر

Dr. Roel Jordans is an Assistant Professor specializing in hardware architectures and compilation techniques at Eindhoven University of Technology. His research develops efficient systems for reliable high-performance computing and application-specific processors. Research Focus: Hardware accelerators, reconfigurable computing platforms, and compilation methods for specialized processors. Current projects include neuromorphic edge computing and radio astronomy instrumentation. Awards: Recognized for research excellence with Best Paper awards at leading conferences in digital system design and embedded computing.

Lukas Putsمشاهده پروفایل

پژوهشگر

• Neuromorphic Photonics
• Photonic Integration
• Semiconductor Lasers
• +۴ مورد دیگر

Lukas Puts is a Postdoctoral Researcher at Eindhoven University of Technology (TU/e), specializing in neuromorphic photonics and photonic integration. He holds a PhD (2025) and MSc (2020) in Photonic Integration from TU/e, with a focus on spiking neural networks using semiconductor lasers. His work bridges laser dynamics, optical measurements, and neuromorphic computing. Education: BSc in Embedded Systems and Electronics (Avans Hogeschool, ’s-Hertogenbosch) MSc in Photonic Integration (TU/e, 2020, cum laude) PhD in Photonic Spiking Neural Networks (TU/e, 2025) Research Interests: His research emphasizes photonic integration technologies (e.g., InP platforms), spiking neural networks, laser dynamics modeling, and noise effects in optical systems. He explores neuromorphic photonics applications for energy-efficient computing and novel optical hardware architectures. Publications: Lukas has authored 15 peer-reviewed articles (2021–2025), focusing on neuromorphic photonics, laser-based spiking neurons, and photonic integration. Notable contributions include a roadmap on neuromorphic photonics and experimental demonstrations of self-spiking lasers on InP platforms. Labs & Collaborations: He contributes to TU/e’s photonics research group and collaborates internationally on neuromorphic systems. His work aligns with UN Sustainable Development Goals related to sustainable innovation and clean energy through advanced photonics technologies.

Chris Eliasmithمشاهده پروفایل

استاد

• Theoretical Neuroscience
• Computational Neuroscience
• Neuromorphics
• +۶ مورد دیگر

Chris Eliasmith is a Professor jointly appointed in the Systems Design Engineering and Philosophy departments at the University of Waterloo, with a cross-appointment to Computer Science. He is the Founding Director of the Centre for Theoretical Neuroscience and holds the Canada Research Chair in Theoretical Neuroscience. His research focuses on mathematical modeling of neural systems, including the Neural Engineering Framework (NEF) and Semantic Pointer Architecture (SPA), which underpin the world’s largest functional brain simulation, Spaun. He leads the Computational Neuroscience Research Group (CNRG), advancing neuromorphic computing, spiking neural networks, and cognitive modeling. Education: PhD in Neuroscience & Psychology (2000), Washington University in St. Louis MA in Philosophy (1995), University of Waterloo BASc in Systems Design Engineering (1994), University of Waterloo Research: His work integrates theoretical neuroscience with practical applications in robotics, AI, and neuromorphic hardware. Key contributions include the NEF, Spaun, and innovations like the Legendre Memory Unit (LMU) and Spatial Semantic Pointers (SSPs). His lab explores adaptive neural systems, decision-making models, and biologically plausible machine learning algorithms. Teaching: Recent courses include SYDE 556 (Simulating Neurobiological Systems), SYDE 750 (Topics in Systems Modelling), and PHIL 356 (Intelligence in Machines, Humans, and Other Animals). Awards: 2015 NSERC Polanyi Prize Labs & Projects: The CNRG develops tools like Nengo for simulating large-scale neural systems and collaborates on neuromorphic hardware platforms such as Loihi. Current projects span neural robotics, cognitive architectures, and biologically inspired AI systems.

Juan Núñezمشاهده پروفایل

استاد پژوهشی

• Tunnel Field-Effect Transistors (TFET)
• Low-power electronics
• Emerging semiconductor technologies
• +۶ مورد دیگر

Juan Núñez is a Research Professor at the Microelectronics Institute of Seville (IMSE-CNM), part of the Spanish National Research Council (CSIC). His primary research focus lies at the intersection of emerging semiconductor technologies and novel computing paradigms, with particular expertise in tunnel field-effect transistors (TFETs) and their applications in low-power circuit design. Institution: Spanish National Research Council (CSIC) Research Institute: Microelectronics Institute of Seville (IMSE-CNM) Specialization: TFET, Pipeline, Variability, Low-power, Emerging technologies, RTD, NDR, Emerging devices, Dynamic logic Professor Núñez's research portfolio demonstrates a strong evolution from traditional digital circuit design toward emerging computing paradigms. His early work focused on optimizing conventional CMOS circuits and exploring tunnel transistors as potential successors to traditional MOSFETs. More recently, his research has pivoted toward neuromorphic computing, particularly oscillatory neural networks and Ising machines implemented with emerging devices. His work bridges the gap between device physics, circuit design, and computational applications, with a consistent emphasis on energy efficiency. The trend in his recent publications (2020-2024) shows a significant shift toward neuromorphic computing applications, particularly using phase transition materials and oscillatory networks for solving complex optimization problems. His research on VO 2 (vanadium dioxide) based Ising machines represents cutting-edge work in non-von Neumann computing architectures that could potentially solve NP-hard problems more efficiently than conventional computers.

Tom Wuمشاهده پروفایل

استاد

• Hybrid organic-inorganic materials
• Transition-metal oxides
• Optoelectronics and photodetectors
• +۷ مورد دیگر

Tom Wu is a Professor in the School of Materials Science and Engineering at the University of New South Wales (UNSW Sydney), appointed through the Strategic Hires and Retention Pathways (SHARP) scheme in 2017. He earned his B.S. from Zhejiang University (1995) and Ph.D. from the University of Maryland, College Park (2002). Prior to UNSW, he held positions at Argonne National Laboratory, Nanyang Technological University (Singapore), and KAUST (Saudi Arabia). His research focuses on the synthesis and application of novel materials, including transition-metal oxides and hybrid perovskites, targeting optoelectronic devices, energy systems, and memory technologies. Over 20 PhD students and 30 postdocs have graduated under his mentorship, now leading roles globally. Tom’s work has yielded ~350 peer-reviewed papers (h-index 82), recognition as a Clarivate Highly Cited Researcher (since 2019), and Fellowship in the Royal Society of Chemistry. He serves as Associate Editor for ACS Applied Materials & Interfaces and actively recruits PhD students/postdocs for projects on perovskite optoelectronics. His group’s innovations include vapor/solution-based material synthesis, interface engineering, and nanocomposite design, addressing challenges in resource and technology sustainability. Research highlights include advancements in perovskite solar cells, memristors, and neuromorphic computing devices.