جست‌وجوی استاد و پژوهشگر

Veronika Moosesمشاهده پروفایل

پژوهشگر ارشد

• Human Geography
• Social Geography
• Urban Studies
• +۵ مورد دیگر

Veronika Mooses is a Research Fellow in Human Geography at the University of Tartu’s Faculty of Science and Technology, affiliated with the Institute of Ecology and Earth Sciences. Her research focuses on ethnic segregation, spatial analysis, and urban geography, leveraging mobile phone data and geospatial methods. She holds a PhD from the University of Tartu (2021) and has taught courses including 'Planning Project' and 'Research Methods in Human Geography' since 2016. Currently involved in projects like Cycle4Climate (2024–2027) and OPEN LAB (2021–2026), she has supervised four master’s theses on topics ranging from ethnic segregation metrics to smart city retrofitting. Her work bridges demographic studies with technological innovation, emphasizing climate justice and urban sustainability. Education: Doctor’s Degree in Human Geography, University of Tartu (2021) Master’s Degree in Human Geography and Regional Planning, University of Tartu (2014) Bachelor’s Degree in Geography, University of Tartu (2011) Research Interests: Ethnic segregation patterns, spatial inequality, climate justice, smart city technologies, and urban mobility. Her work often employs mobile phone data and geospatial analytics to explore demographic dynamics in urban and regional contexts. Key Projects: Cycle4Climate (2024–2027): Co-creating sustainable cycling solutions in the Baltic region. OPEN LAB (2021–2026): Innovating positive energy neighborhoods through living labs. Publications: Over 10 peer-reviewed articles and book chapters, focusing on segregation analysis, climate justice, and smart urban technologies. Recent work includes studies on thermal inequality in Spain and transnational activity spaces.

Jan Rosinskiمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Stable and Infinitely Divisible Processes
• +۳ مورد دیگر

Jan Rosinski is a Professor in the Department of Mathematics at the University of Tennessee. He holds a Ph.D. from Wrocław University (Poland). His research focuses on Probability and Stochastic Processes, particularly Stable and Infinitely Divisible Processes, Stochastic Analysis, and High-Dimensional Probability. He has held editorial roles at journals such as Probability and Mathematical Statistics and Discussiones Mathematicae - Probability and Statistics . His service includes managing editor roles and editorial board memberships across multiple international journals. Rosinski has contributed extensively to stochastic processes, Lévy processes, and infinitely divisible distributions, with a focus on theoretical developments and applications. Education: Ph.D., Wrocław University, Poland. Research Interests: Probability Theory, Stochastic Processes, Stable Processes, Infinite Divisibility, and High-Dimensional Probability. His work explores spectral representations, stochastic integrals, and applications in theoretical and applied probability. Editorial Contributions: Managing Editor of Probability and Mathematical Statistics (2008–present), and Editorial Board Member of Discussiones Mathematicae (2000–present), among others.

• Conservation Biology
• Wetland Ecology
• Plant Ecology
• +۳ مورد دیگر

Donald Leopold is a Distinguished Teaching Professor in the Department of Environmental Biology at the State University of New York College of Environmental Science and Forestry (SUNY-ESF). He specializes in conservation biology, wetland ecology, and plant species restoration. His research focuses on wetland plant communities, endangered species recovery, and the impacts of human activities on ecological systems. Leopold holds a degree from the University of Pittsburgh in Ecology and Evolution with a Linguistics minor. His research interests include wetland restoration, climate change impacts on plant species, and the ecological roles of keystone species. He has published extensively on topics such as deer population dynamics in protected areas, greenhouse gas fluxes in restored wetlands, and the conservation of rare plant species like the hart’s tongue fern. Leopold actively advises graduate students in Environmental & Forest Biology, focusing on topics like green roof plant ecology and inland salt marsh phylogeography. Leopold’s work integrates field studies, ecological modeling, and restoration practices. He has contributed to regional conservation projects, including assessments of Lake Atitlan’s littoral zone and studies on Adirondack and New York City floras. His teaching and research emphasize hands-on ecological field methods and community-based conservation strategies.

• Stochastic Analysis
• Mathematical Finance
• Option Pricing
• +۵ مورد دیگر

Blanka Horvath is a Lecturer at King's College London and Honorary Lecturer at Imperial College London's Department of Mathematics (Faculty of Natural Sciences). Her research focuses on stochastic analysis and mathematical finance, particularly in numerical methods, machine learning applications, and volatility modeling (e.g., SABR and rough volatility models). She holds a PhD from ETH Zurich (2015), a Diplom in Mathematics from the University of Bonn, and an MSc in Economics from the University of Hong Kong. She has organized major conferences such as the SIAM MMF 2017 mini-symposium and co-organized the Rough Volatility Meeting at Imperial College. Her honors include the 2019 Risk Rising Star Award and the 2024-25 LMS Emmy Noether Fellowship. She collaborates with institutions like UBS, The Alan Turing Institute, and Quantennium LTD. Her teaching includes courses on numerical methods in finance and Python/R programming. She supervises PhD and MSc students in areas like rough volatility, machine learning, and quantitative finance. Recent work explores quantum GANs for option pricing and regime detection using Wasserstein distances.

• Optical Communications
• Quantum Computing
• Quantum Key Distribution
• +۳ مورد دیگر

Professor Dominic O'Brien is a Professor of Engineering Science at the University of Oxford and Senior Research Fellow at Balliol College. He serves as Director of the UK National Hub in Quantum Computing and Simulation. His research focuses on optoelectronics, optical wireless communications, and quantum key distribution. He leads the optical communications group and has authored over 200 publications in these areas. His work emphasizes high-speed free-space optical systems, UV-based secure communication, and beam-steering technologies. Education: MA and PhD from the University of Cambridge, followed by a DPhil from the University of Oxford. His research interests include quantum networks, photonics, and energy-efficient optical systems. Notable projects include handheld low-cost quantum key distribution systems and terabit-per-second fiber-wireless links. He collaborates on initiatives like the WORTECS project for virtual reality applications using optical wireless. Publications span topics from UV solar-blind OWC to liquid crystal beam steering. His work bridges academic and industrial applications, addressing challenges in both classical and quantum communication systems. He contributes to standards for visible light communications and next-generation wireless infrastructure.

Anu Lehtovuoriمشاهده پروفایل

مدرس

• Electronics Engineering
• Nanoengineering
• Antenna Design
• +۳ مورد دیگر

University Lecturer Anu Lehtovuori is affiliated with the Department of Electronics and Nanoengineering at Aalto University, where she actively bridges teaching and research. Her roles encompass academic teaching, project leadership, grant writing (e.g., Academy of Finland applications), and collaboration with doctoral students. She specializes in cutting-edge topics such as antenna design for 5G/6G systems, reconfigurable MIMO architectures, and RF technology for mobile devices. Her research focuses on optimizing antenna performance in compact environments, mitigating interference, and enhancing wireless communication efficiency. Notable areas include wideband antenna systems, decoupling techniques for multi-element arrays, and adaptive antenna-amplifier integration. Lehtovuori emphasizes practical applications, addressing challenges like user interaction effects on mobile antenna performance and minimizing electromagnetic emissions. Research Trends: Dominant themes include 6G IoT antenna solutions, mmWave component integration, and reconfigurable systems leveraging mutual coupling. Grants: Actively pursuing funding through initiatives like the Academy of Finland. Her contributions span both theoretical advancements (e.g., bandwidth optimization algorithms) and industrial applications (e.g., antenna cluster techniques for full-screen smartphones). While no specific awards are documented, her work reflects a strong focus on impactful, industry-relevant innovations.

Cristiano Porcianiمشاهده پروفایل

استاد

• Cosmology
• Large-scale Structure
• Galaxy Formation
• +۲ مورد دیگر

Cristiano Porciani is Professor of Astrophysics at the University of Bonn's Argelander Institute for Astronomy, specializing in cosmological structure formation and galaxy evolution. He leads a research group working on numerical simulations of large-scale structure and theoretical cosmology. His research focuses on dark matter distribution, galaxy bias, and cosmological parameter estimation using perturbation theory and high-performance computing. Recent work examines relativistic effects in large-scale structure and intensity mapping techniques. Publications show strong emphasis on Euclid mission science, including instrument characterization, survey simulations, and cosmological tests. Article trends reveal consistent development of statistical methods for analyzing next-generation sky surveys. Supervises 9 graduate students working on cosmological simulations, galaxy clustering statistics, and radiative transfer modeling. Leads research projects within the Euclid Consortium and Transregional Collaborative Research Centre.

Vlado A. Lubardaمشاهده پروفایل

استاد

• Linear and Nonlinear Elasticity
• Finite Strain Plasticity
• Viscoelasticity and Viscoplasticity
• +۷ مورد دیگر

Prof. Vlado A. Lubarda holds dual roles at the University of California, San Diego: Full Professor of Teaching in the Department of Chemical and Nano Engineering and Adjunct Professor of Mechanical and Aerospace Engineering. He is a Faculty Fellow of Revelle College and a Research Affiliate at the Center for Memory and Recording Research. Lubarda's academic journey includes degrees from the University of Montenegro (Dipl. Ing., 1975) and Stanford University (M.S. and Ph.D., 1977–1979). His research spans elasticity, plasticity, biomechanics, and nanomechanics, with over 130 journal publications and five authored books. Notable awards include the Barbara and Paul Saltman Distinguished Teaching Award and multiple Tau Beta Pi Outstanding Teacher Awards. He has advised numerous graduate and undergraduate students, contributing to advancements in materials science and mechanics. Affiliations: Full Professor of Teaching, Department of Chemical and Nano Engineering Adjunct Professor, Department of Mechanical and Aerospace Engineering Fellow of Revelle College Research Affiliate, CMRR Education: Bachelor of Engineering, University of Montenegro (1975) M.S. and Ph.D. in Mechanical Engineering, Stanford University (1977–1979) Research Interests: Elasticity, plasticity, viscoelasticity, dislocation mechanics, damage mechanics, and biomechanics. Key Contributions: Author of Strength of Materials , Elastoplasticity Theory , and other seminal texts. Editorial board member of Theoretical and Applied Mechanics and Mathematics and Mechanics of Solids . His research articles explore topics like dislocation dynamics, material fracture mechanics, and biomedical applications. Lubarda’s awards reflect his dedication to teaching and research excellence. He collaborates with institutions globally and actively contributes to academic governance through roles such as Chair of the NanoEngineering Undergraduate Affairs Committee.

Jacquelien Scherpenمشاهده پروفایل

استاد

• Automation & Control Systems
• Nonlinear Control Systems
• Smart Energy Systems
• +۳ مورد دیگر

Jacquelien Scherpen is a Professor at the University of Groningen, currently serving as Rector Magnificus. She holds a position in the Engineering and Technology institute Groningen (ENTEG) within the Faculty of Science and Engineering. Her academic journey includes a PhD in Applied Mathematics from the University of Twente (1994) and post-doctoral roles at Delft University of Technology before joining Groningen in 2006. She has been a leader in systems and control research, with roles as Scientific Director of ENTEG (2013–2019) and Director of the Groningen Engineering Center (2016–2023). Her research focuses on model reduction, nonlinear control, smart energy systems, and distributed control applications in smart grids. Key achievements include the Automatica Best Paper Prize (2020), Knight of the Order of the Netherlands Lion (2019), and the Prince Friso Engineer of the Year Award (2023). She has held leadership roles in organizations like the European Control Association (EUCA) and is a Fellow of IEEE. Her professional activities include editorial roles in journals like the IEEE Transactions on Automatic Control and the International Journal of Robust and Nonlinear Control. She has organized major conferences, including the European Control Conference (ECC) 2021 and 2023. Her work bridges theoretical advancements with practical applications, emphasizing sustainability and engineering innovation.

Pedro U. Limaمشاهده پروفایل

استاد

• Robotics
• Multi-Robot Systems
• Autonomous Systems
• +۴ مورد دیگر

Pedro U. Lima is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and President of the Institute for Systems and Robotics (ISR/IST), coordinating the Intelligent Robots and Systems group (IRSg). He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994). His research focuses on intelligent control systems, multi-robot coordination, and human-robot interaction, with contributions to robotics competitions like RoboCup and initiatives like the European Robotics League (E.R.L.). Lima has served as Vice President of the RoboCup Federation, Trustee of IEEE Portugal RAS Chapter, and Portuguese National Delegate to the European Space Agency’s Human Spaceflight Program Board. He led the Cátedra de Excelencia sabbatical at UC3M (2010), contributing decision-theoretic approaches to human-robot interaction. His work integrates robotics with societal impact, including outreach through the Pavilhão do Conhecimento and media appearances. He coordinates large projects like euROBIN (EU Horizon Europe) and CRAI (Portugal’s PRR), advancing robotics in domains like autonomous delivery and social robotics.

Wenyuan Fanمشاهده پروفایل

دانشیار

• Array seismology
• Marine geophysics
• Environmental seismology
• +۴ مورد دیگر

Dr. Wenyuan Fan is an Associate Professor at the Institute of Geophysics and Planetary Physics (IGPP) within the Scripps Institution of Oceanography at UC San Diego. His research focuses on array seismology, marine geophysics, environmental seismology, and earthquake dynamics. He holds a PhD from UC San Diego and degrees from Peking University. Research Interests: Array seismology and waveform modeling Marine geophysics and ocean-solid earth interactions Earthquake source kinematics and dynamic triggering mechanisms Microseismicity imaging and fault zone processes Recent Work Trends: His recent publications emphasize understanding earthquake rupture mechanics through dense array data, exploring submarine landslide dynamics via hydroacoustic signals, and applying machine learning to seismic catalog development. Studies often bridge tectonic processes with environmental factors, such as storm-induced seismicity and human-induced seismic events. Advising & Grants: No students listed; active in NSF-funded projects on fault dynamics and marine geohazards. Labs/Teams: Affiliated with IGPP's Seismology and Geodynamics Group, collaborating with international networks like IRIS and CTBTO.

Yan Kyaw Tunمشاهده پروفایل

استادیار

• Edge Computing
• Multi-Access Edge Computing
• Resource Allocation
• +۱۲ مورد دیگر

Yan Kyaw Tun is a Tenure Track Assistant Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design, located in Copenhagen, Denmark. His research lies at the intersection of wireless communications, edge computing, and artificial intelligence, with a strong focus on next-generation networks (5G/6G), UAV-assisted systems, and intelligent resource management. His educational background includes a Ph.D. in Computer Engineering from Kyung Hee University, South Korea, where he was awarded the Best Ph.D. Thesis Award in 2021, and a Bachelor of Engineering in Marine Electrical Systems and Electronic Engineering from Myanmar Maritime University. Dr. Tun's research interests span Edge Computing , Multi-Access Edge Computing (MEC) , Resource Allocation , Unmanned Aerial Vehicles (UAVs) , Reinforcement Learning , Energy Efficiency , and Integrated Sensing and Communication (ISAC) . His work leverages AI and optimization techniques to enhance the performance of wireless networks, particularly in space-air-ground integrated systems and satellite-HAP environments. The recent publications highlight a clear trend toward intelligent and sustainable networking: the integration of STAR-RIS (Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces), Federated Learning for satellite-HAP systems, and AI-driven optimization for UAV trajectories and beamforming. These works are published in high-impact venues such as IEEE Transactions on Mobile Computing and IEEE ICC , showcasing his leadership in cutting-edge communication technologies. His scientific accolades include: IEEE ComSoc Outstanding Young Researcher Award for EMEA Region (2024) Best Ph.D. Thesis Award (2021) Student Best Paper Award at APNOMS 2019 Korea Network Operation and Management Conference Award (2020) Korea Computer Congress 2018 Award Dr. Tun is actively engaged in the academic community as an advisor and grant participant. Though no direct advisees are listed, his involvement in large collaborative projects—evidenced by co-authorship with senior researchers like Prof. Choong Seon Hong—indicates mentorship and team leadership. He has served on the editorial boards of IEEE Internet of Things Journal , IEEE Open Journal of the Communications Society , and IEEE Network , and has secured research support through participation in IEEE-organized workshops and special issues. He is a key organizer of upcoming workshops, including the 'Sustainable AI for Next-Generation Wireless Communications and Networking' at IEEE GLOBECOM 2025 and the 'Digital Twin Networks' workshop at IEEE/CIC International Communications in China 2025, reflecting his role in shaping future research directions in intelligent and green networking.

• Computer Vision
• Autonomous Systems
• Robotics
• +۱۲ مورد دیگر

Dr Lounis Chermak is a Lecturer in Computer Vision and Autonomous Systems at the Centre for Electronic Warfare, Information and Cyber, part of Cranfield Defence and Security at Cranfield University, UK. He leads the Joint Autonomy Lab and is actively involved in research and education in autonomous systems with applications in defence and space. Research Interests: His work focuses on situational awareness in autonomous platforms, with core expertise in computer vision, sensor fusion, artificial intelligence, robotics, and navigation. He investigates perception, decision-making, and mobility across aerial, ground, maritime, and space systems, developing robust solutions for challenging environments including low visibility and extreme illumination. The recent publications reflect a strong trend in autonomous navigation, particularly for space and defence applications, using advanced computer vision techniques such as thermal stereo odometry, HDR imaging, stixel-based scene understanding, and lightweight 3D descriptors. Research also extends to cybersecurity of autonomous systems, including impersonation attack detection and optical countermeasures. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Dr Chermak leads research activities supported by postdoctoral researchers, PhD, and MSc students. His work is funded and applied in collaboration with major clients including aerospace organizations (ESA, UK Space Agency, Thales Alenia Space), defence agencies (MoD, DSTL, BAE Systems, MBDA), and technology companies (Samsung, Astroscale). He supervises research students in robotics and autonomous systems across civilian and defence domains. Labs and Teams: He leads the Joint Autonomy Laboratory, a 200 m² indoor facility equipped with drone netting, motion capture systems, virtual reality test benches, UAV and ground robot fleets, electric vehicles, and multiple sensors for vision, ranging, and motion. This lab supports both educational and cutting-edge research in autonomous systems.

Christos Gagatsosمشاهده پروفایل

استادیار

• Quantum Technologies
• Quantum Sensing
• Quantum Communications
• +۱۰ مورد دیگر

Christos Gagatsos is an Assistant Professor in the Department of Electrical and Computer Engineering and a member of the Wyant College of Optical Sciences at the University of Arizona. He joined the university in 2018 as a postdoctoral research associate, was promoted to Assistant Research Professor in 2020, and became an Assistant Professor in ECE in 2023. Prior to this, he was a postdoctoral research fellow at the University of Warwick, UK. His educational background includes: PhD in Engineering Sciences and Technology, Université Libre de Bruxelles and École Polytechnique, Belgium (2014) MSc in Physics of Elementary Particles, University of Athens, Greece (2010) BSc in Physics, University of Athens, Greece (2007) Christos Gagatsos's research lies at the intersection of quantum information, quantum sensing, and quantum communications, with a strong theoretical focus on bosonic systems. His work explores fundamental concepts such as entanglement, non-Gaussianity, and Bayesian estimation in quantum systems. He is particularly interested in pushing the limits of quantum-enhanced sensing, including optical phase and transmissivity estimation, and in developing theoretical frameworks for quantum detection and discrimination. His teaching interests include quantum information, quantum optics, probability theory, and applied mathematics. The recent trend in his publications reflects a deep engagement with Bayesian methods in quantum parameter estimation, quantum change point detection, and the characterization of quantum states through measures like Wigner entropy. His work spans both fundamental quantum theory and practical applications in sensing and communication, often bridging classical and quantum approaches. He advises several graduate students across departments, including Boyu Zhou (Physics), Ali Cox (Physics), Qipeng Qian (Mathematics), and Leo Bia (Optical Sciences). While no formal scientific awards are listed in the provided text, editorial recognition such as an Editor’s Pick in APL Quantum highlights the impact of his research. Christos Gagatsos leads a research group focused on theoretical quantum information, actively collaborating with quantum research groups across the University of Arizona, Arizona State University, and international institutions in the USA and Europe. His lab investigates quantum sensing, communications, and foundational aspects of quantum mechanics using bosonic platforms, fostering a collaborative and interdisciplinary research environment.

• Atmospheric Science
• Remote Sensing
• Radar Meteorology
• +۷ مورد دیگر

Anthony Illingworth is a Professor in the Department of Meteorology at the University of Reading, UK, where he leads research in atmospheric remote sensing, radar and lidar technologies, and weather forecasting. His work is central to major satellite missions such as EarthCARE and WIVERN, and he collaborates extensively with European and international meteorological agencies. Education and Background: While specific degrees are not listed in the provided text, his long-standing academic career and leadership in advanced meteorological research suggest a PhD in atmospheric physics or a related field, likely from a UK institution. His research interests span radar meteorology , cloud physics , satellite remote sensing , precipitation measurement , boundary layer dynamics , and numerical weather prediction . He focuses on improving observational techniques using ground- and space-based sensors to enhance forecast accuracy. His work integrates physics-based models with real-world data from instruments such as Doppler radars, lidars, and polarimetric sensors. The publication trends from 2015 to 2025 reveal a consistent focus on satellite-based wind and cloud observations (e.g., WIVERN and EarthCARE), calibration of remote sensing instruments, and data assimilation for weather models. His articles frequently address technical challenges in radar signal interpretation, wind profiling in extreme weather, and the use of ground networks to validate and improve forecasts. A recurring theme is the development and validation of new methodologies for extracting atmospheric parameters from remote sensing data. Scientific Awards: Advising and Grants: While no students or grants are explicitly listed, his frequent senior authorship and leadership in large collaborative projects (e.g., FRANC, EarthCARE) suggest active supervision of PhD students and postdoctoral researchers, as well as success in securing major research funding from agencies such as the UK Met Office, ESA, and NERC. Labs and Teams: Illingworth is closely associated with the atmospheric remote sensing group at the University of Reading, which operates advanced radar and lidar systems. He collaborates with the European Centre for Medium-Range Weather Forecasts (ECMWF), CNRS in France, and the CloudSat science team, indicating strong institutional partnerships and team-based research in operational and satellite meteorology.