جست‌وجوی استاد و پژوهشگر

Martin Salingaمشاهده پروفایل

استاد

• Phase-Change Materials
• Amorphous Semiconductors
• Resistive Switching Materials
• +۷ مورد دیگر

Prof. Dr. Martin Salinga leads the research group at the Institute of Materials Physics , University of Münster. His work focuses on the dynamics of resistive switching materials, particularly phase-change materials, and their applications in novel electronic and photonic devices. He collaborates with institutions like IBM Zurich, the Pernice group, and European research centers. Investigates structural and electronic behavior of amorphous semiconductors Develops neuromorphic and in-memory computing hardware Utilizes ultrafast optical experiments and ab initio simulations Research Interests center on understanding how atomic configurations influence electrical properties in phase-change materials. His group explores non-equilibrium states, switching kinetics, and material optimization for applications in: Neuromorphic processors High-speed data storage Photonic waveguides Temperature-activated structural dynamics His Publications highlight advancements in phase-change material modeling, ultrafast switching mechanisms, and atomic-level insights into resistance drift. Key trends include leveraging density functional theory for nanoscale transport analysis and optimizing materials for adaptive nanosystems. Scientific Awards include an ERC Starting Grant for the NEURAMORPH project, supporting the development of neuromorphic hardware. He also secured funding through DFG Collaborative Research Centers Intelligent Matter (CRC 1459) and Nanoswitches (CRC 917). ERC grant: €1.5 million for synaptic component design DFG CRC 1459: Millions in funding for adaptive nanosystems IAPP DIASPORA: Industry-academia collaboration with IBM Team members like Nils Holle (summa cum laude PhD) and Sebastian Walfort (EDISON Young Researcher Award) contribute to projects on atomic simulations and optical measurements, while the Characterization Lab enables experimental validation of material properties.

Wilfred van der Wielمشاهده پروفایل

استاد

• Nanoelectronics
• Brain-Inspired Computing
• Neuromorphic Systems
• +۷ مورد دیگر

Prof. Dr. Ir. Wilfred van der Wiel is a full professor of Nanoelectronics at the University of Twente and director of the BRAINS Center for Brain-Inspired Nano Systems . He also holds a second professorship at the Institute of Physics, Westfälische Wilhelms-Universität Münster and serves as a visiting professor there. His research focuses on unconventional electronics for energy-efficient information processing , pioneering Material Learning at the nanoscale to realize computational functionality and artificial intelligence in designless nanomaterial substrates. Education : MSc and PhD in Applied Physics (cum laude) from Delft University of Technology (1997, 2002). Research : Intersects nanotechnology , physics , computer science , and neuroscience , developing artificial neural networks in materials . Grants & Awards : ERC Starting Grant (2009) World Economic Forum Outstanding Young Scientist Award (2013) EIC Pathfinder HYBRAIN (2022-2027) Take-off Grant (2020) Collaborations : Co-founded spin-off ECsens Initiated intensified collaboration with University of Münster International advisor for WISE-SSS program , Tokyo Institute of Technology

• Photonics
• Fiber Lasers
• Mode-locking
• +۵ مورد دیگر

Dmitrii Stoliarov serves as a Research Associate at the Aston Institute of Photonic Technologies (AiPT) within Aston University's College of Engineering and Physical Sciences, Birmingham, UK. His research focuses on advanced photonics systems with applications spanning biomedical diagnostics and optical communications, and he is currently accepting PhD students for supervision. His core research areas include Fiber Lasers, Mode-locking, Ultrashort Pulses, and Nonlinear Optics, with significant contributions to Solitary Wave dynamics and Harmonics generation in optical systems. This work bridges fundamental laser physics with practical implementations in healthcare imaging and telecommunications infrastructure. Recent 2025 publications reveal strong interdisciplinary trends: compact femtosecond lasers for precision applications, dual-comb systems for optical ranging, and neuromorphic computing architectures. These demonstrate a clear trajectory toward photonics-driven solutions for cancer detection and next-generation information processing systems. Stoliarov actively supervises PhD candidates as indicated by his 'Accepting PhD Students' status. His research is conducted within the Aston Institute of Photonic Technologies (AiPT), a specialized research center focusing on laser development, optical communications, and biomedical photonics applications, leveraging state-of-the-art facilities for photonic device innovation.

Robert Legensteinمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuromorphic Computing
• Spiking Neural Networks
• +۳ مورد دیگر

Dr. Robert Legenstein is a Full Professor and Institute Head at the Institute of Machine Learning and Neural Computation , Graz University of Technology. He serves as Speaker of the Graz Center for Machine Learning and Action Editor for Transactions on Machine Learning Research (TMLR) . His research bridges computational neuroscience and machine learning, focusing on neuromorphic computing systems that mimic biological neural networks. Research Leadership: Leads EU-funded projects like Adaptive Optical Dendrites (FET-Open) , SYNCH (FET-Proactive) , and Stochastic Assemblies in SNNs (FWF) . Scientific Contributions: Develops learning algorithms for spiking neural networks (SNNs), with applications to memristive architectures, neuroprosthetics, and energy-efficient AI systems. Key Publications: 15+ recent works on topics including dendritic computing, hardware-aware training, and context-dependent neural processing. Teaching Roles: Offers courses like Deep Learning , Principles of Brain Computation , and Data Structures & Algorithms . Contact: robert.legenstein@tugraz.at | +43 316 873 5824 | Inffeldgasse 16b/I, 8010 Graz, Austria.

• Autonomous Robots
• Networked Control Systems
• Mechatronic Systems
• +۱ مورد دیگر

Holger Voos is Full Professor in Engineering Science at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where he leads the Automatic Control Laboratory. His research focuses on distributed networked control, autonomous robotic systems, safety-critical applications, and mechatronic system design. His recent publications demonstrate strong research emphasis on: Advanced SLAM algorithms integrating visual, inertial and wireless technologies Optimal control strategies for spacecraft formations and aerial robots Neuromorphic vision systems and sensor fusion techniques Reinforcement learning approaches for robotic manipulation Constraint-based optimization methods for robotic perception and control

• Data Science
• Edge Computing
• IoT Security
• +۳ مورد دیگر

Dr. Yalong Wu is an Assistant Professor of Data Science at the University of Houston-Clear Lake's College of Science and Engineering. His research focuses on data-driven solutions for edge computing, IoT security, machine learning applications, and network optimization in distributed systems. Research domains include big data quality assessment, blockchain security frameworks, edge intelligence for video analytics, and neuromorphic computing. Recent publications demonstrate strong emphasis on practical implementations for cybersecurity and network efficiency. Publications show consistent focus on distributed systems challenges, with emerging work on adversarial machine learning, blockchain applications, and edge computing frameworks. Methodological approaches integrate statistical modeling, game theory, and optimization techniques.

Leszek Majewskiمشاهده پروفایل

مدرس

• Organic Electronics
• Thin-Film Transistors
• Printed Electronics
• +۲ مورد دیگر

Leszek Majewski is a Lecturer in Embedded Systems at the University of Manchester's Department of Electrical and Electronic Engineering. With a PhD from the University of Sheffield, his research focuses on organic electronic materials, printed electronics, and sensors for sustainable and biomedical applications. His research encompasses: Organic Electronics: Developing novel organic field-effect transistors (OFETs) using high-k dielectrics and biodegradable polymers Sensing Systems: Designing gas sensors and biosensors based on organic semiconductors Neuromorphic Computing: Creating organic memristive devices for brain-inspired computing architectures Sustainable Materials: Implementing natural biopolymers like khaya gum for eco-friendly electronics Recent publications (2019-2025) demonstrate advancements in low-voltage organic transistors, biodegradable dielectrics, and neuromorphic devices, with consistent focus on material innovation and device optimization. Awards include the DUO-India Fellowship and Erasmus+ Mobility Grant. He serves as Associate Editor for Frontiers in Materials and contributes to international standards development through IEC TC 119.

Ariandoمشاهده پروفایل

استاد

• Quantum Materials
• Superconductivity
• Strongly Correlated Systems
• +۴ مورد دیگر

Professor Ariando serves as Provost's Chair Professor (2024-2027) and Deputy Head (Research & Graduate Studies) in the Department of Physics at the National University of Singapore's Faculty of Science. His research group focuses on quantum materials physics and applications, with particular expertise in strongly correlated oxides and emergent device technologies. His educational background includes: PhD from University of Twente, The Netherlands (2005) Professor Ariando's research centers on synthesizing novel quantum materials through a 'materials-by-design' approach, creating advanced heterostructures, superlattices, and interfaces. His work bridges fundamental physics and functional device development, with major contributions to nickelate-based superconductivity, topotactic reduction processes, and spin-polarized states in 2D material systems. Key discoveries include room-temperature colossal magnetoresistance in graphene and brain-inspired memory devices. Analysis of his publication trends reveals dominant themes in nickelate superconductors (particularly infinite-layer structures), oxide heterostructures for spintronics applications, and topological magnetic textures. His interdisciplinary work consistently bridges condensed matter physics, materials science, and electronic engineering, with publications spanning Nature, Physical Review Letters, and Advanced Materials. His scientific honors include: Faculty of Science Outstanding Scientist Award (2022) for quantum interfaces and nickelate superconductivity research Provost's Chair Professorship (2024-2027), NUS's highest research honor As Deputy Head (Research & Graduate Studies), Professor Ariando oversees departmental research strategy and graduate education. His extensive publication record in high-impact journals indicates substantial research funding, though specific grant details aren't publicly enumerated. He mentors post-doctoral researchers and graduate students through the Ariando Research Group, fostering expertise in quantum materials synthesis and characterization. The Ariando Research Group operates advanced facilities for thin-film growth and nanofabrication, maintaining international collaborations across Europe and North America. Current efforts focus on engineering quantum phases in oxide heterostructures and developing next-generation neuromorphic computing elements, with particular emphasis on nickelate superconductors and topological spin textures for memory applications.

• Wireless Communications
• Deep Learning
• Signal Processing
• +۴ مورد دیگر

Dr. Geoffrey Ye Li is the Chair Professor in Wireless Systems at Imperial College London's Department of Electrical and Electronic Engineering, Faculty of Engineering. Prior to joining Imperial in 2020, he held a Professorship at Georgia Institute of Technology (2000–2020) and was a Principal Technical Staff Member at AT&T Labs (1995–2000). His research focuses on wireless communications, deep learning integration, and signal processing, with over 700 publications and 40 patents. He leads the Intelligent Transmission and Processing Laboratory . Education & Career: PhD in Electrical Engineering (Assumed based on career trajectory) Georgia Institute of Technology: 20-year tenure as Professor (1995–2020) AT&T Labs: Principal Technical Staff (1990–1995) Research Interests: OFDM systems and resource cooperation frameworks Deep learning applications in wireless communications Integrated sensing and communication (ISAC) systems AI-driven semantic communication protocols Energy-efficient and green wireless networks Awards & Recognition: Fellow of Royal Academy of Engineering (2024) IEEE Fellow (2006) IET Fellow (2021) 2024 IEEE Eric E. Sumner Award Clarivate Highly Cited Researcher (2001, 2014–2023) Grants & Labs: Pioneered the Intelligent Transmission and Processing Laboratory at Imperial Secured funding for projects in AI-semantic communication, ISAC, and neuromorphic computing Contributed to global standards in OFDM and wireless system design Current Focus: Advancing semantic communication frameworks, AI-driven signal processing, and low-complexity machine learning systems for next-generation wireless networks.

• Physics
• Biomedical Engineering
• Neuroscience
• +۳ مورد دیگر

Prof. Zdenka Kuncic is a Professor of Physics at the School of Physics , University of Sydney. She holds a BSc (Hons I) from the University of Sydney and a PhD in theoretical astrophysics from the University of Cambridge. Her research bridges physics, medicine, biology, neuroscience, and engineering, focusing on interdisciplinary applications of physics-based approaches to solve complex problems. Key affiliations include the University of Sydney Nano Institute and the Charles Perkins Centre. Her research interests include neuromorphic computing, nanoparticle-based medical imaging, and quantum technologies. Notable grants include the 2024 Reconfigurable Neuromorphic Compute System (ARC LIEF) and the AMTAR Hub (2023). Media highlights include features in The Conversation , Financial Times , and ABC Science . Recent innovations include nanowire networks mimicking brain-like learning and memory, and advancements in MRI-guided radiotherapy using nanoparticles. Her work emphasizes translational research with potential impacts on healthcare and technology.

Tansu Celikelمشاهده پروفایل

استاد

• Neural Information Processing
• Cognitive Artificial Intelligence
• Computational Modeling
• +۳ مورد دیگر

Tansu Celikel is a Professor and School Chair at the School of Psychology , Georgia Institute of Technology. His research focuses on neural information processing, cognitive AI, computational modeling, and neuroplasticity. He leads the Neuroloops lab, which explores perceptual learning through experimental and computational approaches in animals and humans. Key research contributions include identifying mechanisms of sensory-to-action transformation, developing real-time neuromodulation tools, and bridging animal/human studies through robotic control architectures. His lab has pioneered methods for millisecond-resolution behavioral quantification and neural interface systems. Publications emphasize interdisciplinary approaches spanning neuroscience, engineering, and AI. Current work targets closed-loop control of perceptual learning stages, from sensory input to motor execution. The lab's translational focus aims to apply neurobiological principles to robotics and cognitive enhancement technologies. Laboratory activities include hardware/software development for neural interfaces, computational modeling of sensory systems, and collaborative projects with robotics engineers. Experimental platforms involve rodents and human subjects to study shared perceptual mechanisms across species.

Stephen McLaughlinمشاهده پروفایل

استاد

• Signal Processing
• Computational Imaging
• Bayesian Statistics
• +۲ مورد دیگر

Professor Stephen McLaughlin is Deputy Principal for Research and Impact at Heriot-Watt University and formerly Head of the School of Engineering and Physical Sciences (2011-2020). He holds fellowships in multiple prestigious societies including the Royal Society of Edinburgh and Royal Academy of Engineering. Research focuses on signal processing and computational imaging for 35+ years, specializing in Bayesian methods for signal-to-noise enhancement, detection algorithms, parameter estimation, and classification systems. Current work explores quantum-inspired imaging and single-photon lidar technologies. Publications demonstrate strong focus on Bayesian methods for photon-efficient imaging, with recent advancements in video super-resolution, neuromorphic processing, and real-time 3D reconstruction. Work consistently integrates statistical methods with novel hardware implementations. Fellow of the European Signal Processing Association (2020) Fellow of the Royal Academy of Engineering (2009) Fellow of the Royal Society of Edinburgh (2004) Fellow of the IEEE (2011) Leads research in computational imaging and contributes to UN Sustainable Development Goals through sensor technology advancements.

Jane Ilesمشاهده پروفایل

دانشیار

• Perinatal Mental Health
• Parent-Child Relationships
• Child Development
• +۳ مورد دیگر

Jane Iles is Associate Professor of Psychology and Programme Director for the Doctorate in Clinical Psychology at the University of Surrey. Her research focuses on perinatal mental health, early childhood development, and family wellbeing interventions. Iles investigates how parental mental health during pregnancy and postpartum affects child developmental trajectories. Her work employs longitudinal designs to examine protective factors and intervention efficacy, including video-feedback programs enhancing parent-infant bonding. Current projects address paternal depression impacts and trauma-informed care following difficult childbirth experiences. Publication trends demonstrate methodological innovation in psychometric validation and qualitative analysis of family experiences. Recent work emphasizes digital health interventions and COVID-19 impacts on family mental health systems. Dr. Iles supervises doctoral candidates in clinical psychology and serves on the Society for Reproductive and Infant Psychology committee. She contributed to NHS England's Good Practice Guide for perinatal mental health services.

Paolo Montuschiمشاهده پروفایل

استاد

• Computer Engineering
• Computer Arithmetic
• Computer Architecture
• +۱۰ مورد دیگر

Paolo Montuschi is a Professor of Computer Engineering at Politecnico di Torino, Italy, and former Chair of the Control and Computer Engineering Department (2003–2011). He holds leadership roles in the IEEE, including Editor-in-Chief of the IEEE Transactions on Emerging Topics in Computing (2021–23) and Chair of the IEEE TAB Awards and Recognition Committee (2020–21). His academic career includes a PhD in Computer Engineering (1989) and full professorship since 2000. Research interests span computer arithmetic, computer architecture, graphics, and semantics in education. Notable contributions include work on decimal arithmetic, cryptography, error-tolerant systems, and virtual reality applications. He pioneered the first Italian/European IEEE-HKN chapter (Mu Nu) and received prestigious awards like the IEEE Computer Society Distinguished Service Award. Montuschi has advised notable students including Silvia Vitali (founder of Mu Nu Chapter), Luca Nassi (ARM), and Alessandro Sorniotti (IBM). His service spans over 30 roles in IEEE committees, focusing on publications, awards, and strategic planning. Current activities include advancing emerging computing topics and promoting interdisciplinary research through the GRAINS lab.

Douglas Durianمشاهده پروفایل

استاد

• Soft Condensed Matter Physics
• Metamaterials
• Machine Learning
• +۴ مورد دیگر

Douglas Durian is the Mary Amanda Wood Professor of Physics and Astronomy at the University of Pennsylvania, where he also serves as Founder and Associate Director of the Center for Soft and Living Matter. He holds a secondary appointment in Mechanical Engineering and Applied Mechanics. His research focuses on soft condensed matter physics, particularly the dynamics of foams, granular systems, and emergent learning in physical networks. Durian earned his Ph.D. from Cornell University (1989) and A.B. from the University of Chicago (1984). Positions: Mary Amanda Wood Professor (2021–), Professor of Physics (2004–2021), UCLA Professor (1991–2004). Education: Ph.D. Cornell, A.B. University of Chicago. Research explores novel systems like Contrastive Local Learning Networks (CLLNs) – metamaterials capable of autonomous learning akin to neural networks. His work bridges physics, data science, and neuroscience, addressing energy-efficient AI and fundamental material behavior. Key contributions include studies on granular flow dynamics, foam coarsening, and clogging mechanisms in hoppers. Durian’s team employs interdisciplinary methods, combining experiments with machine learning analysis. Scientific Achievements: Developed physics-driven learning networks for energy-efficient computation. Advanced understanding of granular matter dynamics and clogging transitions. Received AAAS and APS Fellowships, and Sigma Xi Lecturer honor. Labs/Teams: Leads the Durian Research Group at the Laboratory for Research on the Structure of Matter (LRSM), focusing on foams, fluids, and granular systems. Collaborates with interdisciplinary teams in physics, engineering, and data science.