جست‌وجوی استاد و پژوهشگر

Anton Burtsevمشاهده پروفایل

دانشیار

• Operating Systems
• Computer Security
• Formal Verification
• +۳ مورد دیگر

Anton Burtsev is an Associate Professor at the Kahlert School of Computing, University of Utah. His research focuses on redefining operating system architectures to address modern challenges like security attacks, data center workloads, and heterogeneous hardware. He leads the Mars Research Group, developing systems like the formally verified Atmosphere microkernel in Rust/Verus, and the high-performance DRAMHiT hash table. Key projects include Rust for Linux kernel integration, verified drivers (Veld), and isolation mechanisms like RedLeaf OS. Research interests include kernel isolation, formal verification, language safety (Rust), and overcoming the memory wall. Current work emphasizes clean-slate OS designs and retrofitted security solutions for existing kernels. Collaborative projects include Horizon (secure scientific cloud computing) and RedLeaf OS verification efforts. Advising undergraduate to PhD students interested in OS research. Notable grants include NSF CAREER (NgOS) and collaborative NSF grants on verified systems. Active in the MARS reading group and open-source contributions via repositories.

• Machine Learning
• Metabolomics
• Chemical Sensor Systems
• +۷ مورد دیگر

Santiago Marco Colás is a Full Professor in the Department of Electronics and Biomedical Engineering at the University of Barcelona and leads the Signal and Information Processing for Sensing Systems group at IBEC. His research focuses on advanced computational methods for chemical sensor arrays, gas chromatography-ion mobility spectrometry (GC-IMS), mass spectrometry, and NMR data analysis in metabolomics, biomedical diagnostics, and environmental monitoring. Developed open-source tools like GCIMS R-package for untargeted IMS data analysis Innovated drone-based chemical sensing systems for indoor/outdoor odor mapping Created IoT-enabled respiratory impedance devices with mobile app control Explored machine olfaction algorithms for biomarker discovery in colorectal cancer and COPD Investigated dielectric excitation methods for metal oxide semiconductor sensors His recent work addresses real-time odor quantification in wastewater plants, predictive modeling for postoperative complications, and low-cost IoT respiratory monitoring. Publications span sensor signal processing, calibration transfer techniques, and collaborative STEM education initiatives.

Dennis Ugoliniمشاهده پروفایل

استاد

• Physics Education
• Instrumentation Development
• Arduino-based Electronics
• +۴ مورد دیگر

Dennis Ugolini is a Professor in the Department of Physics and Astronomy at Trinity University since 2003. His work bridges advanced physics research and education by developing Arduino-based systems to democratize access to cutting-edge equipment for undergraduates and high school labs. Research Interests: Ugolini focuses on creating cost-effective, software-driven instrumentation (e.g., precision laser wavelength measurement, optical cavity control) to enhance undergraduate physics education. His projects emphasize open-source platforms and hands-on learning. Scientific Contributions: His research spans gravitational wave detection analogies (via LIGO collaboration) and innovative optoelectronic solutions. Recent publications highlight pedagogical tools for teaching complex physics concepts through accessible technology. Honors: Recognized in 2019 with Trinity University's "Best of the Best" Award. Community Engagement: As Head Moderator for the Texas Quiz Bowl Alliance and RSI lecturer since 2002, he actively promotes science outreach through lectures and mentorship programs.

Karissa Tilburyمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Cancer
• Extracellular Matrix Remodeling
• +۱۲ مورد دیگر

Karissa Tilbury is an Associate Professor at the Graduate School of Biomedical Science and Engineering at the University of Maine. She leads the Tilbury Biophotonics Group, focusing on advanced optical imaging techniques to study biological systems, particularly in the context of disease pathology and tissue engineering. Her research interests include: Biomedical Engineering Cancer and Extracellular Matrix Remodeling Cellular Metabolism Non-linear Microscopy, especially Second Harmonic Generation (SHG) and Multiphoton Microscopy Spatial Frequency Domain Imaging STEM Education The recent publications highlight a consistent focus on SHG microscopy for label-free, high-resolution imaging of collagen in various diseases, especially cancer and fibrosis. Her work spans pancreatic, ovarian, and breast cancers, pulmonary fibrosis, adipose tissue, and cartilage, demonstrating a multiscale approach from molecular to tissue-level analysis. The integration of polarization, 3D texture analysis, and open-source instrumentation (e.g., OpenSFDI) reflects a strong emphasis on methodological innovation and accessibility. Scientific contributions and collaborations are evident through publications in high-impact journals such as Frontiers in Oncology , eLife , Journal of Biomedical Optics , and Scientific Reports . She advises students through her research lab and has been involved in numerous collaborative grants and projects, particularly in developing imaging platforms for cancer and tissue analysis. While specific grants are not listed, her work involves instrumentation development, computational image analysis, and translational applications. Karissa leads the Tilbury Biophotonics Group, which develops and applies cutting-edge optical tools to understand biological interactions at spatio-temporal scales relevant to disease progression and therapeutic response.

• Quantum Computing
• Machine Learning
• Condensed Matter Physics
• +۳ مورد دیگر

Prof. Giuseppe Carleo is a Professor specializing in quantum computing and machine learning for quantum many-body systems, renowned for developing the NetKet open-source software library. His research bridges theoretical physics and artificial intelligence to solve complex quantum problems. His primary research interests include: Variational quantum algorithms and neural quantum states Simulation of quantum dynamics and non-equilibrium phenomena Hamiltonian reconstruction and learning Open-source tool development for quantum simulation Recent publications (2022-2025) demonstrate leadership in applying machine learning to quantum systems, with breakthroughs in Bose gas dynamics, noise resilience in quantum state propagation, and scalable software frameworks. The NetKet project has become a cornerstone for researchers globally, enabling neural-network-based quantum simulations. While specific mentorship details are unreported, his collaborative publications indicate active supervision of computational physics projects. His work drives innovation in quantum computing infrastructure, with implications for quantum hardware development and algorithm design.

• Embedded Automation
• Mechatronics Systems
• Educational Autonomous Robotic Systems
• +۵ مورد دیگر

Avraam Hatzopoulos is an Assistant Professor at the Department of Industrial Design and Production Engineering of the University of West Attica. His academic work focuses on Embedded Automation, Mechatronics Systems, and Educational Autonomous Robotic Systems within the broader field of Industrial Production Systems. He leads the Industrial Systems and Mechatronics Applications Research Laboratory. Mechanical Automation Degree Master of Telematics Project Management (Danube University of Krems, Austria) Master of Information and Communication Technologies for Education (National and Kapodistrian University of Athens) PhD in Industrial Systems (University of West Attica) His research spans multiple domains including: Embedded systems with automation emphasis Industrial mechatronics applications Small-scale educational robotics STEM education methodologies Predictive maintenance techniques IoT applications in agriculture and smart homes His recent publications analyze trends in: Open-source drone development for engineering education Big data in pharmaceutical sector optimization Low-cost robotics platforms using Arduino Technology Acceptance Model (TAM) evaluations Predictive maintenance with neural networks IoT agricultural education tools Scientific achievements include: Patent on polymorphic robotics testing base (2005) Founder of University of Piraeus Robotics Academy (2017) Contributor to Mechatron educational platform (since 2000) Teaching portfolio includes: Undergraduate: Microcontroller Design, Mechatronics, Robotics, Automotive Design Postgraduate: UAV Applications, Embedded Systems, Production Automation

Jerome Jouffroyمشاهده پروفایل

استاد

• Control Systems Engineering
• Robotics
• Autonomous Vehicles
• +۳ مورد دیگر

Professor Jerome Jouffroy is affiliated with the University of Southern Denmark under the Faculty of Engineering and Science , specializing in Mechanical and Electrical Engineering . His work bridges theoretical control systems research with practical applications in robotics, marine engineering, and mechatronics. Research Focus: Control systems design, autonomous vehicles, marine stabilization, and 3D-printed mechatronics. Collaborations: Active in international networks, particularly in drone cooperative control and marine systems. Projects: Supervised research on drone load handling and energy-efficient UAVs. His publications highlight advancements in quadrotor control , modulating function methods , and marine vessel stabilization . Recent work explores tilt-rotor energy efficiency and cooperative drone systems. Despite extensive media engagement (e.g., defense industry AI applications, offshore wind drone servicing), no formal scientific awards are listed. Teaching includes Control Systems and interdisciplinary team projects.

Nicolaj Haarhøj Malleمشاهده پروفایل

استادیار

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Power-line Maintenance and Inspection
• +۷ مورد دیگر

Nicolaj Haarhøj Malle is an Assistant Professor at the University of Southern Denmark’s Institute of Mechanical and Electrical Engineering and a member of the SDU Digital and High-Frequency Electronics group. He earned his PhD in Robotics in November 2023 with a dissertation on autonomous power-line perception and continues as a post-doctoral researcher until July 2025. Education PhD in Robotics, University of Southern Denmark (2020–2023) Post-doctoral Researcher in Aerial Robotics for Power-line Maintenance, University of Southern Denmark (2023–2025) Research Interests Malle’s work lies at the intersection of aerial robotics, power-line engineering, and embedded intelligence. He develops fully autonomous drones capable of landing on live overhead cables to recharge, inspect, and maintain critical infrastructure. His research integrates mm-wave radar sensing , computer vision , FPGA-accelerated perception , and machine learning to achieve robust navigation in GPS-denied, high-voltage environments. He also pioneers open-source hardware-software architectures for rapid prototyping of safety-critical drone swarms. Scientific Awards & Recognition Although no formal awards are listed, Malle’s work has received extensive national press coverage, including features in Information , DR Forskerfesten PhD Cup , and international tech media highlighting his “vampire drone” concept. Grants & Projects EU H2020 Drones4Safety (2020-2023) – PhD student participant EU H2020 Aerial Core (2019-2023) – PhD student participant InnoExplorer AIR-Ops (2023-2024) – Project participant Spin-outs Denmark OnGrid Aerial Systems (2024-2025) – Project participant Laboratories & Collaborations Malle collaborates closely with the SDU UAS Center and conducts experimental flights at dedicated drone test sites. He maintains an international network via visiting research stays (University of Zürich, Oct–Dec 2022) and active IEEE membership.

Maggie Dallmanمشاهده پروفایل

استاد

• Immunology
• Inflammation
• Autoimmunity
• +۵ مورد دیگر

Professor Maggie Dallman, OBE, is a leading immunologist and Associate Provost (Societal Engagement) at Imperial College London. Her research spans immunoregulation, inflammation, and zebrafish disease models, with key contributions to understanding autoimmune disorders, cancer metastasis, and mucosal immunity. She leads the Dallman Lab, which integrates immunology with advanced imaging technologies. Current roles: Associate Provost (Societal Engagement), Imperial College London Academic affiliations: Faculty of Natural Sciences, Cell and Developmental Biology, Stem Cell Regenerative Medicine Network Her research explores immune responses to pathogens, inflammatory disease mechanisms (e.g., diabetes, rheumatoid arthritis), and therapeutic strategies using zebrafish models. Work includes studying cytokine functions, tumor-induced angiogenesis, and photoswitchable CRISPR tools. Recent publications focus on nanoparticle-based cancer targeting , antiviral nanomimics , zebrafish immunology , and optical tomography innovations . Awards include the Order of the British Empire (OBE) for services to science and education. Scientific awards: Order of the British Empire (OBE) Lab members: PhD students Dory Pólos, Hannah Needham, Madina Wane, Ralf Wenz

Thomas Wolfgang Schubertمشاهده پروفایل

استاد

• Social Psychology
• Social Emotions
• Climate Adaptation Psychology
• +۴ مورد دیگر

Thomas Wolfgang Schubert is a Professor in Method, Work, Cultural, and Social Psychology at the Department of Psychology, University of Oslo (UiO) since 2012. He is currently on sabbatical during the Autumn semester 2024 and not teaching. His academic coordination includes the European Master program Global-MINDS, and he has led courses in Social Psychology, Promoting Change, and Hands-on Science in Psychology. His affiliations span institutions in Germany, the Netherlands, Portugal, and collaborations with scholars like Alan Fiske (UCLA) and Holger Regenbrecht (University of Otago). Education: Master in Psychology (1998) and PhD in Social Psychology (2001) from the University of Jena Postdoc: Universities of Jena, Würzburg (2001-2006); Humboldt Foundation Fellow at Free University Amsterdam and Utrecht (2006-2008) Researcher at ISCTE, Lisbon (2008-2012) His research integrates social psychology and social emotions , focusing on Kama muta (being moved), collective action, and human-nature connectedness. He explores embodiment theory, virtual reality applications, and open science methodologies, including open-source hardware/software development for experiments. Recent publications highlight trends in cross-cultural emotion analysis , social justice movements , environmental psychology , and spatial cognition . His work bridges social psychology with anthropology and environmental studies, emphasizing universal emotional experiences and their societal implications. Scientific Awards Humboldt Foundation Fellowship (2006-2008) He supervises PhD and MA theses, including Diana Lizarazo Pereira (MA, now at CEPI), Evi Petersen (PhD, now at OsloMet), and Janis Zickfeld (PhD, now at Aarhus University). His projects include Kama muta: a social-relational emotion and Pattern of General Knowledge in a Malaysian Adult Sample , with additional completed projects listed.

• Laser Physics
• Perfusion Imaging
• Biomedical Optics
• +۵ مورد دیگر

Tom Knop is a Researcher in the Biomedical Photonic Imaging group at TechMed Centre, specializing in advanced optical techniques for medical applications. His work focuses on developing and refining imaging technologies for clinical diagnostics and biological analysis. Research Interests: Knop's primary research explores laser-based measurement systems with applications spanning dermatology, surgery, and food science. Key areas include: Laser speckle contrast imaging for microcirculation assessment Motion artifact reduction in handheld medical devices Wavefront shaping microscopy for aberration correction Optical characterization of biological tissues and fluids Development of open-source tools for optical experimentation Publications: His recent publications (2024-2025) demonstrate consistent focus on improving optical measurement reliability in clinical contexts. Work includes novel motion mitigation techniques in psoriasis imaging, adaptive microscopy through glass barriers, perfusion monitoring during reconstructive surgery, and methodological comparisons for biological particle analysis. Activities: He actively presents research at scientific conferences, including recent talks on handheld blood flow imaging and multi-spectral photoplethysmography signal analysis.

Dan Fuمشاهده پروفایل

استادیار

• Machine Learning
• Computer Systems
• Efficient Algorithms
• +۳ مورد دیگر

Dan Fu is an Assistant Professor at the University of California, San Diego (UCSD) in the Computer Science and Engineering Department and a Distinguished Research Scientist at Together AI. He leads the SandyResearch Lab and is affiliated with the MLSys group, focusing on making machine learning models faster and more efficient through hardware-aware algorithms and subquadratic architectures. Research interests include: Efficient ML architectures (Chipmunk, Hyena, Monarch Mixer) Hardware-aware systems algorithms (ThunderKittens, FlashAttention) Long-sequence modeling and GPU optimization His recent work spans training-free Transformer acceleration (Chipmunk), convolutional language models (Hyena), and hardware-aware attention optimizations (FlashAttention). Projects are deployed in production at Together AI and integrated with frameworks like PyTorch. Scientific awards include: NDSEG Fellowship (2025) Best Paper at ICML Hardware Aware Workshop (2022) Best Student Paper Runner Up at UAI (2022) Best Poster at ENLSP Workshop (NeurIPS 2023) He contributes to open-source projects (Safari repository, FlyingSquid) and teaches courses on machine learning systems (Stanford CS 324/528, Harvard CS 61/152).

Charlotte Grossiordمشاهده پروفایل

استادیار

• Forest Ecology
• Drought Physiology
• Urban Forestry
• +۳ مورد دیگر

Charlotte Grossiord serves as a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC). She leads research at the Plant Ecology Research Laboratory (PERL) and holds additional appointments in the School of Sustainable Infrastructure Engineering (SSIE) and the Doctoral Program in Environmental Sciences and Engineering (EDCE). Her office is located at GR B2 407 in Lausanne. Her research focuses on forest ecology under climate change, specifically examining drought physiology, urban forestry, and plant hydraulics. Grossiord investigates critical questions regarding tree responses to vapor pressure deficit, soil moisture limitations, and compound climate stressors. Her work integrates field measurements with experimental approaches to understand carbon-water relations across multiple scales. Analysis of her 15 most recent publications reveals dominant themes in drought-induced mortality mechanisms (28% of articles), urban tree thermoregulation (15%), and methodological innovations in plant physiology (12%). Key recurring subfields include stomatal conductance regulation, hydraulic safety margins, and vapor pressure deficit interactions with soil drought. As an educator, she teaches core courses including Sustainability, Fundamentals in Ecology, and Applied Ecology, emphasizing systems thinking and interdisciplinary approaches to environmental challenges. Her doctoral program leadership supports PhD candidates in environmental sciences. Her research team includes seven doctoral students working on forest climate resilience. Current projects examine urban heat mitigation, drought mortality thresholds, and species interactions in mixed forests. She maintains active collaborations through the FunDivEUROPE network and contributes to institutional committees including the Scientific Committee of the Habitat Research Center.

Snizhana Yuryivna Gimchynskaمشاهده پروفایل

استادیار

• Distance Learning
• Computer Hardware Development
• Information Coding
• +۳ مورد دیگر

Snizhana Yuryivna Gimchynska is an Assistant Professor at the Department of Computer Systems and Networks , Faculty of Physics , Chernivtsi National University named after Yu. Fedkovych . Her work bridges computer hardware/software development with educational technology innovation . Education: Chernivtsi State University (1992) (Computer Science), Retraining in Public Finance (2010) Research Focus : Designing distance learning systems since 2004 Developing computer hardware/software for scientific applications Advancing information coding and digital signal processing methodologies Exploring TCP/IP network database architectures and cloud computing in education Publication Trends : 15+ years of contributions in educational technology , computer networking , and scientific instrumentation , with recent emphasis on cloud-based learning environments (2011) and open-source software adoption (2015-2016). Scientific Recognition : 2023: P-Certificate (Continuing Education) 2022: IPD Week Award 2021: Woman in IT Recognition 2019: CISCO IT Essentials Certification 2019: PCAP Python Programming Certification

Veljko Pejovićمشاهده پروفایل

دانشیار

• Mobile deep learning
• Approximate computing
• Resource-efficient computing
• +۶ مورد دیگر

Veljko Pejović is an Associate Professor at the Faculty of Computer and Information Science (FRI), University of Ljubljana, Slovenia, where he also serves as Head of the Computer Communications Laboratory. His research focuses on mobile computing with special emphasis on resource efficiency in mobile and IoT environments. His educational background includes a PhD in Computer Science from the University of California, Santa Barbara (2012) and a dipl. ing (BS) from the University of Belgrade, Serbia (2006). Pejović's research interests center around mobile deep learning, approximate computing, and resource-efficient computing. His work explores how computation accuracy can be dynamically adapted based on contextual factors to optimize resource usage without significantly compromising user experience. He has made significant contributions to mobile sensing, machine learning on resource-constrained devices, and security in IoT environments. His recent publications reveal a strong trend toward making AI more efficient and accessible on mobile and edge devices, with particular focus on approximate computing techniques, federated learning frameworks, and context-aware adaptation of computational resources. His research spans applications from precision agriculture using UAVs to behavioral authentication in IoT environments and mental health inference from mobile sensor data. Scientific Awards: 10-Year Impact Runner Up Award at ACM UbiComp for InterruptMe work Outstanding research achievement award for 2024 by the Faculty of Computer and Information Science Best Paper Nominee (top 4%) at UbiComp'14 for InterruptMe Pejović actively mentors PhD and master's students, with numerous theses resulting in workshop, conference, and journal publications. He serves as Associate Editor for ACM IMWUT and ACM JCSS, and has held organizational roles in major conferences including ACM UbiComp 2025. His research is supported by multiple significant projects including approXimation for adaptable diStributed artificial intelligence (ARIS), CODA, AgriAdapt, and CARMA. His laboratory, the Computer Communications Laboratory at FRI, focuses on developing practical systems and frameworks for resource-efficient mobile computing, with several open-source tools and datasets publicly available for the research community.