Find Academic Supervisors

• Electrons Physics
• Oxide Material Science
• Superconductivity
• +4 more

A.E.M. Smink is a Researcher at the University of Twente specializing in Interfaces and Correlated Electron Systems. With an h-index of 5 and 151 citations, their research spans 22 publications from 2015-2024 focusing on cutting-edge materials science and electronic systems. Research interests center on electron physics (100% fingerprint match) and oxide materials (65% match), with significant contributions to superconductivity (63%), thin films (54%), and surface science (53%). Their work bridges fundamental physics with practical electronic device applications, particularly in next-generation computing architectures. Recent publications reveal a strong trend toward memristor technology and oxide-based electronic systems , with increasing focus on neuromorphic computing applications. The 2024 publications particularly emphasize atomic-scale surface engineering and multi-terminal device architectures for artificial synapse implementations. Professional activities include invited talks at major conferences, such as Extreme epitaxy: an opportunity for (oxide) electronics (December 2022) and presentations on Single-Pulse Control of "Trans-Memristor" Artificial Synapses (May 2024), demonstrating leadership in oxide electronics research.

• Condensed Matter Physics
• Materials Science
• Topological Insulators
• +4 more

Han Wu is a Postdoctoral Researcher in the Department of Physics and Astronomy at the University of Pennsylvania, within the College of Arts & Sciences. His research focuses on condensed matter physics, materials science, and topological insulators, with a particular emphasis on electronic structure, magnetism, and quantum materials. His work explores phenomena such as flat bands, topological phase transitions, and ferromagnetic behavior in van der Waals materials and kagome lattices. Education: PhD in Physics from Rice University Research Interests: Topological materials and phase transitions Flat band physics and correlated electronic systems Van der Waals ferromagnets and spintronics applications Magnetic ordering and electronic reconstruction in novel materials His studies often involve advanced techniques such as angle-resolved photoemission spectroscopy (ARPES) and surface engineering to probe material properties at atomic and electronic levels. Key trends in his recent work include investigations into room-temperature ferromagnetic materials, topological surface state evolution in topological insulators like Bi2Se3, and the interplay between electronic structure and magnetic behavior in layered and quasi-1D systems. His research bridges fundamental physics and potential applications in next-generation electronics and spin-based technologies. Grant and advising activities remain unspecified in the provided information. No lab affiliations or collaborative teams are explicitly mentioned, though his work likely involves interdisciplinary collaborations typical in condensed matter research.

Bin ShiView profile

Research Fellow

• Photonics
• Optical Communication
• Neural Networks
• +3 more

Bin Shi is a Research Fellow at Eindhoven University of Technology's Department of Electrical Engineering, focusing on photonics, optical communication, and neuromorphic computing. He is a core member of the ECO Research Centre for Integrated Nanophotonics (2014–2025), contributing to next-generation optical networks and photonic integrated circuits. His research expertise includes photonic integrated circuits (PICs), semiconductor optical amplifiers (SOAs), and neural network implementations using optical systems. Key projects involve developing low-cost metro-access networks using SOA-based optical add-drop multiplexer (OADM) nodes and exploring photonic computing architectures for deep learning applications. Recent work emphasizes non-invasive characterization techniques for cascaded SOAs, software-defined electro-optical neural networks, and photonic beamforming systems. He has contributed to over 44 research outputs since 2018, with notable publications in Optics Letters and Optics Express . Shi collaborates internationally on topics like photonic neural networks and nanophotonic devices. He teaches the course 'Brain-inspired optical computation' and has been featured in media for his work on light-based neural networks.

Reinoud LavrijsenView profile

Associate Professor

• Nanomagnetism
• Spintronics
• Energy-Efficient Electronics
• +3 more

Reinoud Lavrijsen is an Associate Professor in the Department of Applied Physics at Eindhoven University of Technology (TU/e). He holds a PhD and MSc from TU/e and has conducted postdoctoral research at the University of Cambridge. His work focuses on nanomagnetism, spintronics, and energy-efficient magnetic devices, particularly in controlling magnetization dynamics without external magnetic fields. He leads research on synthetic multiferroic heterostructures and all-optical switching in Co/Gd-based systems. Affiliations: TU/e (Department of Applied Physics), ICMS Affiliated Member, Center for Care & Cure Technology. Education: PhD and MSc in Applied Physics (TU/e), Postdoctoral Research (University of Cambridge Cavendish Laboratory). His research explores novel materials and device architectures for low-power electronics, including magnetic racetrack memories and magneto-photonic integration. Lavrijsen has authored over 150 publications and secured prestigious grants like NWO Rubicon and Veni awards. He actively participates in international conferences and serves as a referee for journals like Nature Communications and Physical Review Letters . Awards: Best Teacher Master 2021 (TU/e) Teacher of the Year 2022 (National) NWO Rubicon Award (2010) NWO Veni Award (2012) Current Projects: Leading the Black Holes on a Chip project (2021–2027), exploring quantum phenomena in nanomagnetic systems. He also supervises 53 graduate students and teaches courses like Nanomagnetism and Nanospintronics . Labs/Teams: Active in the Physics of Nanostructures group and collaborates internationally on spintronics and materials science.

J.W.M. HilgenkampView profile

Professor

• Applied Physics
• Nanotechnology
• Superconductivity
• +3 more

Prof. J.W.M. Hilgenkamp is a Professor of Applied Physics & Nanotechnology and Scientific Director of the MESA+ Institute at the University of Twente. He holds fellowships from the American Physical Society (APS) and the Netherlands Academy of Engineering (NAE). His academic roles include past Dean of the Faculty of Science and Technology (2014–2018) and part-time Professor at Leiden University (2009–2014). He earned his PhD in Applied Physics from the University of Twente in 1995, with a thesis on 'High-Tc dc SQUID Magnetometers', and holds an MSc in Applied Physics from the same institution (1991). His research focuses on superconductivity, nanotechnology, and oxide electronics, with notable contributions to energy-efficient computing (NL-ECO initiative), interface magnetism, and resistive switching devices. His work spans interdisciplinary collaborations, including roles in global science councils and Dutch national research programs like FOM. Key scientific achievements include imaging ferromagnetism control in oxide heterostructures, developing vanadium dioxide-based memristors, and studying quantum phenomena in superconductors. He has coordinated major grants, such as the VICI and VIDI from NWO, and received the Central Education Prize (2007). Labs/Teams: MESA+ Institute, Interfaces and Correlated Electron Systems (ICE), and collaborations with ARCNL and National University of Singapore. Grants: NL-ECO (NWA), FOM programs (Interphase, Tailoring 2D Electron Systems), ESF PiShift program.

Renshaw WangView profile

Associate Professor

• Condensed Matter Physics
• Superconductivity
• Magnetism
• +4 more

Renshaw Wang is an Associate Professor at Nanyang Technological University (NTU), Singapore, jointly appointed in the School of Physical and Mathematical Sciences and the School of Electrical and Electronic Engineering. His research bridges condensed matter physics and materials engineering, focusing on emergent phenomena in quantum materials, including oxide heterostructures, two-dimensional systems, and hybrid interfaces. His work explores: Superconductivity : Vortex dynamics, iron-based superconductors, and nickelate systems. Magnetism & Spintronics : Nanoscale control of magnetic anisotropy, multilevel memory, and spin transport. Oxide & 2D Materials : Van der Waals integration, interfacial engineering, and defect-modulated functionalities. Electronic Devices : Ferroelectric memory, superconducting diodes, and low-power nanoelectronics. Recent publications (2022–2024) emphasize quantum material design , with recurring themes in topological effects, interfacial phenomena, and nanoscale control of electronic/magnetic states. His articles frequently appear in high-impact journals ( Nature Electronics , Science Advances , ACS Nano ) and are recognized as editor's picks or featured covers. He leads a research team at NTU advancing thin-film synthesis, nanofabrication, and quantum transport characterization. Collaborative projects span international institutions, focusing on next-generation electronic and photonic devices.

Nina StanczykView profile

Lecturer

• Vector Biology
• Medical Entomology
• Insect Olfaction
• +4 more

Dr. Nina Stanczyk is a Lecturer at the Department of Environmental Systems Science at ETH Zürich. Her research focuses on understanding how insects, particularly mosquitoes, locate and interact with human hosts, with an emphasis on vector olfaction and malaria transmission dynamics. She investigates how malaria infection alters host odors to enhance mosquito attraction, leading to new strategies for vector control through repellent/attractant development. Her work bridges chemical ecology, medical entomology, and public health. Dr. Stanczyk has held postdoctoral positions at ETH Zürich (2015–present), the London School of Hygiene and Tropical Medicine (2012–2015), and Penn State University (2011–2012). She earned her PhD in Genetics from the University of Nottingham and Rothamsted Research Institute (2007–2011). Her research has explored DEET resistance in mosquitoes, volatile biomarkers for malaria diagnosis, and species-specific olfactory responses in Anopheles mosquitoes. Her publications emphasize mosquito behavior modification, pathogen effects on host-seeking, and innovative repellent strategies. Key contributions include identifying malaria-induced host odor changes and demonstrating DEET resistance mechanisms in Aedes aegypti. Current work continues to address vector-borne disease prevention through interdisciplinary approaches. Dr. Stanczyk’s expertise spans field and lab-based studies, with a focus on translating ecological insights into public health applications. She collaborates internationally on projects addressing mosquito-borne disease transmission and control methods.

• Neuroethology
• Biological Imaging
• Neurobiology
• +3 more

Andreas Hillmair is Deputy Director - Operations and Head of Operations at the Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging at Technical University of Munich. He holds a PhD in Neurobiology and Behavior (summa cum laude, University of Wuerzburg) and conducted postdoctoral research on honeybee pheromonal communication at CNRS in France. His expertise spans science management, academic administration, neuroethology, and biological imaging. He has managed interdisciplinary imaging research teams since 2013, overseeing institutional and third-party funding. His research background includes studying colony recognition in ants and honeybee social communication using advanced imaging techniques. Education: PhD in Neurobiology and Behavior, University of Wuerzburg (2007–2010) Studies in Biology (Neurobiology), University of Wuerzburg (graduated 2007) Research Interests: Neuroethological mechanisms of social recognition, olfactory processing in insects, and development of imaging techniques for biological systems. His work bridges fundamental research and applied imaging technology, focusing on how sensory systems enable complex social behaviors in insects. Current efforts emphasize optimizing science management frameworks to accelerate translational imaging research. Key Contributions: Pioneered methodologies for low-volatility odor delivery in insect behavior studies (2010) and revealed parallel processing of social odors in ant antennal lobes (2011). Transitioned into science management to operationalize cutting-edge imaging research, leading to the 2023 Excellence Award in Scientific Management. Awards: 2023: Excellence in Scientific Management Award 2015–2018: Outstanding Performance Recognition (Helmholtz Munich) 2009: Best Poster Award (German Zoological Society) Labs & Teams: Leads the Operations unit at IBMI, coordinating over 15 interdisciplinary research groups and managing €15M+ in annual funding. Collaborates closely with the Chair of Biological Imaging at TU Munich to advance multimodal imaging technologies for clinical and biological applications.

Dean M. TullsenView profile

Professor

• Computer Architecture
• Multithreading
• Multicore Processors
• +7 more

Dean M. Tullsen is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego. He leads the High Performance Processor Architecture and Compilation Lab and focuses on computer architecture, particularly multithreading, multicore processors, secure execution, and energy-efficient design. His research bridges hardware and software for parallel computing, security, and resource optimization. Education: Ph.D. from the University of Washington (1996), B.S. and M.S. from UCLA. Research Interests: Computer architecture, multithreading, speculative execution, hardware security, energy efficiency, and heterogeneous computing. Scientific Awards: Best Paper Awards at USENIX Security Symposium (2024), IEEE S&P (2023), and Distinguished Paper Awards at POPL (2021), ASPLOS (2023), plus the 2020 ACM SIGARCH/IEEE-CS TCCA Influential ISCA Paper Award. Students: Advised 30+ graduate students, including Craig Disselkoen, Mohammadkazem Taram, and Ashish Venkat, who now hold positions at Google, Microsoft, and academia. Lab: Leads the High Performance Processor Architecture and Compilation Lab, advancing techniques in secure execution and parallel computing.

• High Performance Computing
• Computer Architecture
• Hardware-Software Co-design
• +3 more

Shuaiwen Song is a SOAR Associate Professor (tenured) at the School of Computer Science , University of Sydney, and directs the Future System Architecture (FSA) Lab . He holds affiliated professor positions at the University of Washington's Electrical Engineering department and serves as a Visiting Professor at Microsoft. Key research areas: High Performance Computing (HPC), Hardware-Software Co-design, Emerging Architectures (heterogeneous, quantum), and System ML Current projects: Large-Scale Sparse Model Design (Google), Tiered Memory Systems (Google), Compiler Optimizations for Heterogeneous Computing (Microsoft/Alibaba), Planet-Scale XR Systems (Meta), Quantum System Architecture (Australian Research Council) His work bridges system software and hardware, focusing on holistic design for complex many-accelerator systems and futuristic architectures like VR/AR and quantum accelerators. Recent publications highlight advancements in temporal graph processing, VR rendering, and ReRAM-based CNN training. He has received prestigious awards including IEEE Mid-Career Award for Scalable Computing , Alibaba AIR Faculty Award , and Australia's Most Innovative Engineers recognition.

Fei WangView profile

Assistant Professor

• Non-volatile Memory Devices
• RF Electronics
• Microwave Engineering
• +3 more

Dr. Fei Wang is an Assistant Professor in the Electrical Engineering Department at California State University, Long Beach (CSULB), where she has served since 2007. Previously, she was an Assistant Professor at Cal Poly San Luis Obispo (2005–2007). She holds a BS in Electronics and Information Science from Peking University, and MS and PhD degrees in Electrical Engineering from the University of Cincinnati. Her research focuses on non-volatile memory devices, RF, and microwave electronics. She currently serves as the Undergraduate Advisor for the Electrical Engineering program. Dr. Wang's academic background includes a strong foundation in semiconductor and electronic systems. Her expertise spans device physics, microwave circuit design, and next-generation memory technologies. Office hours are held Monday 12:00–1:00 PM, 2:00–3:30 PM, and Wednesday 2:00–3:30 PM (by appointment).

João Tiago PauloView profile

Assistant Professor

• Distributed Systems
• Storage Systems
• Database Systems
• +6 more

João Tiago Paulo is an Assistant Professor at the University of Minho and a Senior Researcher at INESC TEC. He obtained his PhD in Computer Science from the MAP-i Doctoral Program, focusing on large-scale distributed systems, storage, and database scalability, performance, security, and dependability. His work addresses complex data management challenges in Cloud Computing and HPC environments. Research Interests: João specializes in Reliable Distributed Storage Systems Software-Defined Storage architectures Privacy and security in data management Fault injection for debugging storage systems Performance benchmarking and optimization Publication Trends: His recent work spans distributed systems, storage scalability, fault reproduction, and privacy-preserving machine learning. He has published in venues like Transportation Engineering , Proceedings of the VLDB Endowment , and SC24-W , with keywords intersecting computer science, HPC, and data security. Supervised Theses: João has supervised multiple MSc theses at INESCTEC, covering topics like edge time series database benchmarking, distributed storage optimizations, privacy-preserving ML frameworks, and fault injection in storage systems.

Chenchen LiuView profile

Assistant Professor

• High-Performance Computing
• Machine Learning
• Brain-Inspired Computing
• +3 more

Dr. Chenchen Liu is an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). She leads the Computing Compass Laboratory and focuses on high-performance computing for machine learning, brain-inspired computing with hardware-software co-design, and novel non-volatile memory technologies. Education: Ph.D., Electrical and Computer Engineering, University of Pittsburgh, 2017 M.S., Electrical and Computer Engineering, Peking University, 2013 Research Interests: Her work emphasizes optimizing neural networks for efficiency, enhancing AI security against adversarial attacks, and advancing neuromorphic systems using memristor and ReRAM technologies. Recent publications address multi-tenant DNN inference, edge computing frameworks, and latency-aware GPU optimization. Her articles highlight innovations in neuromorphic hardware, federated learning, and defense against adversarial attacks. Ongoing efforts include designing robust AI systems for autonomous driving and edge environments.

• Computer Vision
• Machine Learning
• Rail Transportation Systems
• +5 more

Yu Qian is a Professor in the Department of Electrical and Computer Engineering at the University of Southern California's Viterbi School of Engineering, with extensive research contributions spanning computer vision, machine learning, and transportation systems. Their work bridges theoretical advances with practical applications, particularly in railroad safety and ferroelectric computing architectures. Research interests focus on computer vision applications for transportation safety, including railroad inspection systems and pedestrian behavior analysis at grade crossings. Additional expertise includes ferroelectric computing-in-memory architectures, micro-expression recognition, and multimodal sentiment analysis. The research program demonstrates strong interdisciplinary collaboration across engineering disciplines. Recent publications (2023-2025) show a clear trend toward hardware-algorithm co-design for specialized computing, particularly using ferroelectric devices for optimization problems, alongside continued work in transportation safety applications. The research spans both theoretical contributions to neural network architectures and practical implementations for real-world problems. While specific awards aren't documented in the provided records, the extensive publication record in high-impact venues demonstrates significant scholarly contribution to the field. The research program appears well-funded, supporting numerous collaborative projects across multiple institutions.

• Clinical Sciences
• Analytical Chemistry
• Neurosciences
• +3 more

Ilaria Belluomo is a Research Fellow at the Department of Surgery & Cancer in the Faculty of Medicine at Imperial College London, part of the Hanna Group led by Professor George Hanna. She is an Emerging Leader Fellow of the Epilepsy Research Institute UK. Her research focuses on volatile organic compounds (VOCs) for non-invasive diagnosis and monitoring of neurological disorders, including epilepsy and Parkinson's disease. She leads two clinical trials: the VIBES study for epilepsy diagnosis/prediction and the PANORAMA study for Parkinson's disease diagnostics. Her expertise includes advanced mass spectrometry techniques (GC-MS, LC-MS, SIFT-MS, PTR-MS) and thermal desorption methods. Education: PhD (European PhD program, University of Bologna & Neurocentre Magendie, INSERM, Bordeaux), MSc in Medical Biotechnology (University of Bologna), BSc in Medical Biotechnology (University of Naples Federico II). Research interests span neurosciences, analytical chemistry, and clinical applications of VOC analysis. She is committed to advancing standardization of analytical methods for breath biomarkers. Beyond research, she co-founded the Academic Women Association (AWA) at Imperial College in 2022 to support women’s career progression in academia. Her work has contributed to understanding endocannabinoid systems, metabolic profiling, and the role of VOCs in diseases such as obesity, diabetes, and neurological conditions. She actively participates in the Surgery & Cancer Department’s Culture and Engagement Committee since 2019.