جست‌وجوی استاد و پژوهشگر

Oscar Diasمشاهده پروفایل

استاد

• Theoretical Physics
• General Relativity
• Black Holes
• +۴ مورد دیگر

Professor Oscar Dias is a faculty member in the Department of Mathematical Sciences at the University of Southampton. His research focuses on Einstein's gravity, black holes, holographic dualities, and gravitational aspects of string theory. He actively supervises PhD students in mathematical sciences and holds grants from the Science and Technology Facilities Council (STFC), including projects like 'New Frontiers in Particle Physics, Cosmology and Gravity.' His work explores topics such as cosmic censorship, black hole dynamics, and numerical general relativity, with recent contributions published in journals like Physical Review Letters and Journal of High Energy Physics . Key research interests include the study of black hole binaries in de Sitter space, the stability of charged black holes, and the interplay between holographic dualities and quantum field theories. His projects often involve collaborations with leading institutions, addressing foundational questions in theoretical physics and cosmology. Professor Dias is a member of the Southampton Theory Astrophysics and Gravity (STAG) Research Centre and the String Theory and Holography group. His articles highlight advancements in understanding gravitational wave phenomena, quasinormal modes, and the behavior of black holes under various physical conditions. He currently accepts PhD applications and can be contacted via O.J.Campos-Dias@soton.ac.uk.

Victoria J. Orphanمشاهده پروفایل

استاد

• Microbial Ecology
• Biogeochemistry
• Marine Microbiology
• +۲ مورد دیگر

Victoria J. Orphan is the James Irvine Professor of Environmental Science and Geobiology at Caltech, where she directs the Center for Environmental Microbial Interactions. Her research investigates microbial processes in anaerobic ecosystems including deep-sea methane seeps, hydrothermal vents, and coastal sediments using interdisciplinary approaches combining molecular biology, stable isotope techniques, and geochemistry. Her laboratory focuses on: Microbial partnerships in methane cycling Ecophysiology of uncultured archaea and bacteria Viral ecology in marine environments Biogeochemical impacts of microbial communities Blue carbon sequestration in seagrass ecosystems Professor Orphan has developed innovative methods including BONCAT-FISH and nanoSIMS for studying microbial activity in environmental samples. Her research group maintains active field programs in Monterey Canyon and hydrothermal vent systems, and develops high-pressure incubation systems for studying deep-sea microbes. She teaches courses on microbial ecology and evolution, and mentors graduate students through the Geobiology and Environmental Science programs.

Sheelagh Carpendaleمشاهده پروفایل

استاد

• Information Visualization
• Interaction Design
• Human-Computer Interaction
• +۷ مورد دیگر

Sheelagh Carpendale is a Professor and Canada Research Chair in Information Visualization at Simon Fraser University's School of Computing Science. Her research focuses on Information Visualization, Interaction Design, and Human-Computer Interaction, with a strong emphasis on large display interaction, visual analytics, and personal visualization. She leads the Innovations in Visualization Interactive Experiences (ixLab) and has contributed to over 200 publications. Education: PhD (Computing Science, Simon Fraser University, 1999); BSc (Computing Science, Simon Fraser University, 1992). Research Interests: Dr. Carpendale's work bridges theory and practice, emphasizing user-centered design and interdisciplinary collaboration. Key areas include data physicalization (e.g., Kirigami-inspired visualizations), interactive technologies for healthcare, and educational tools like TangiBooks for programming concepts. Her lab explores novel interaction paradigms for large displays and mobile devices. Recognition: Recipient of the 2018 IEEE Visualization Career Award, numerous best paper awards, and leadership roles in conferences like IEEE VIS. Her contributions span academic, industrial, and public engagement contexts, including projects on clinical decision support and public data literacy. Grants & Labs: Active in securing research grants for projects like the Arctic Movement visualization and Energy Data initiatives. The ixLab collaborates with artists, scientists, and healthcare professionals to create impactful visualizations.

Dario Vretenarمشاهده پروفایل

استاد

• Theoretical Nuclear Physics
• Energy Density Functional Theory
• Low-Energy Nuclear Effective Field Theory
• +۳ مورد دیگر

Dario Vretenar is a Professor of Physics at the Department of Physics, Faculty of Sciences, University of Zagreb (since 2001). He has held academic roles including Associate Professor (1997-2001) and Assistant Professor (1993-1997). His research focuses on theoretical nuclear physics, particularly energy density functional theory, nuclear weak interactions, and computational physics. He has held visiting positions at institutions such as Technical University Munich (Visiting Professor, 1999-2000) and University of Tokyo (2010). Education: Ph.D. in Theoretical Nuclear Physics (University of Zagreb, 1988); M.Sc. in Physics (University of Zagreb, 1982). Postdoctoral fellowships included Yale University (1990) and Alexander von Humboldt Fellowships at Technical University Munich (1991-1993, 1997). Research Interests: Algebraic structure models for high-angular momentum states Low-energy nuclear effective field theory Nuclear astrophysical applications Development of relativistic energy density functionals Publications: Over 210 peer-reviewed articles (h-index 43, 7,000+ citations), 8 books, and 100+ conference contributions. Notable works include studies on nuclear clustering, quantum phase transitions, and neutron skin structure. Awards: Croatian Academy of Science and Arts Award for Science and Mathematics (2002) Croatian National Award for Science (2003) Fellow of the Croatian Academy of Sciences and Arts (2012) Service Roles: President of the Croatian Science Foundation (2013–present) Chair of the Physics Committee, Agency for Science and Higher Education, Croatia (2009–present) Board Member of Euroschool on Exotic Beams (2012–present) Teaching: Courses include Quantum Physics, Nuclear Structure, and Nuclear Astrophysics at undergraduate and graduate levels. Supervised numerous students in theoretical nuclear physics.

• Autonomous Underwater Vehicles (AUVs)
• Multi-Agent Systems
• Robotics
• +۶ مورد دیگر

Özer Özkahraman is a postdoctoral researcher at the Division of Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology. He works under Ivan Stenius and John Folkesson, focusing on underwater mission planning, simulation, and integration of autonomous systems. His email is ozero@kth.se . He completed his PhD at KTH under Petter Ögren, researching large-scale multi-agent coverage planning for autonomous underwater vehicles (AUVs). Current projects include the SMaRCSim multi-domain simulation platform and development of underwater vehicles like LoLo, SAM, and Evolo. Research interests span autonomous underwater systems, multi-agent coordination, control systems, and simulation infrastructure. He emphasizes modular, accessible frameworks for vehicle testing and real-world deployment. His work bridges theoretical methods (e.g., control barrier functions) with practical applications in marine robotics. Publications focus on AUV navigation, environmental sensing, and adaptive control. Projects like Real2Sim aim to align simulation with real-world vehicle dynamics using motion capture data. He collaborates internationally on topics like data-driven damage detection and model compression for resource-constrained robots. No academic awards are explicitly mentioned. He actively seeks collaborators for projects in sonar simulation, flow field modeling, and cyber-physical system integration.

Selin Karaمشاهده پروفایل

استاد

• Biocatalysis
• Bioprocessing
• Redox Biocatalysis
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Selin Kara is a Professor at the Institute of Technical Chemistry, Faculty of Natural Sciences, Leibniz University Hannover. She leads research in biocatalysis and bioprocessing, with a focus on sustainable and innovative enzyme-based technologies. Her leadership roles include Spokesperson of the Curriculum and Teaching Committee for Life Science and Chairperson of the Admissions Board for MSc Life Science. Full Name: Selin Kara Institution: Leibniz University Hannover Faculty: Faculty of Natural Sciences Department: Institute of Technical Chemistry Academic Rank: Professor Email: selin.kara@iftc.uni-hannover.de Her research interests center on biocatalysis and bioprocessing , particularly in redox biocatalysis , enzyme immobilization , non-conventional media such as deep eutectic solvents, biocatalytic cascades , and flow biocatalysis . She explores enzyme kinetics and process engineering to enhance efficiency and sustainability in chemical synthesis. Her group develops novel reactor systems and materials, including hydrogels and 3D-printed microfluidics, for advanced biocatalytic applications. She emphasizes green chemistry principles, aiming to replace traditional chemical processes with eco-friendly enzymatic alternatives. The most recent publications (2024–2025) demonstrate a strong trend in deep eutectic solvents , fusion enzymes , immobilization techniques , and sustainable synthesis of bio-based chemicals . Her work integrates experimental and computational methods to understand enzyme behavior and optimize reaction systems. Key themes include process intensification, solvent engineering, and industrial scalability, with applications in pharmaceuticals, fragrances, and sustainable materials. She holds leadership positions in academic governance, including: Spokesperson, Curriculum and Teaching Committee, Life Science (BSc/MSc) Chairperson, Admissions Board for MSc Life Science Executive Board Member, Institute of Technical Chemistry Deputy Representative for Professors in Faculty Council and Examination Boards Her research is highly collaborative, involving interdisciplinary teams and international partners, and is consistently published in high-impact journals such as Green Chemistry , ACS Catalysis , and ChemSusChem . While specific scientific awards and student advisees are not listed in the provided text, her extensive publication record and leadership roles reflect significant academic contributions.

• Food Technology
• Food Processing Engineering
• Electrotechnologies in Food Preservation
• +۴ مورد دیگر

Henry Jäger is a Professor in Food Technology at the University of Natural Resources and Life Sciences, Vienna (BOKU) since 2014. Previously, he worked as a Project Manager at Nestlé (2012-2014) and Lecturer at TU Berlin (2012-2017), following his PhD/Postdoc at TU Berlin (2006-2012) and Diploma in Food Technology (2000-2006). His research focuses on electrotechnologies in food processing , particularly pulsed electric fields (PEF) and ohmic heating , for microbial inactivation, food preservation, and quality optimization. He explores applications in plant material processing , gluten-free baking , and novel food preservation methods . His work also addresses edible insect processing for allergenicity reduction and protein recovery. Recent publications (2025-2024) analyze synergies between PEF and ohmic heating, biofilm imitation systems for hygiene validation, and computational models for sterilization processes. These studies span food safety , sustainable processing , and functional food design . Henry Jäger actively contributes to scientific communities, serving on the EFFoST managing board , as scientific advisor for food conferences, and as reviewer for journals like Food Chemistry and Trends in Food Science & Technology . He has organized workshops on PEF applications and contributed to EU food technology initiatives.

Yanchao Liuمشاهده پروفایل

دانشیار

• Industrial Engineering
• Operations Research
• Transportation Systems Optimization
• +۴ مورد دیگر

Dr. Yanchao Liu is an Associate Professor at Wayne State University's College of Engineering, Department of Industrial and Systems Engineering. He has received research funding from the National Science Foundation and the State of Michigan, including the NSF Career Award. His academic career spans prior industry roles as a Data Scientist and Manager of Advanced Analytics at Sears Holdings Corporation (2016-2017) and Director of Brand Marketing Analytics at Catalina Marketing Corporation (2017). He teaches courses in data science, IoT, and stochastic processes. B.S. Industrial Engineering, Huazhong University of Science and Technology (2006) M.S. Industrial Engineering, University of Arkansas (2008) Ph.D. Industrial and Systems Engineering, University of Wisconsin-Madison (2014) Dr. Liu's research focuses on mathematical modeling for transportation systems, industrial AI, and data analytics. His work addresses drone traffic management, battery-constrained delivery routing, and optimization algorithms for urban mobility. He has developed novel methods for UAV safety diagnostics, random forest implementations, and fairness-aware path planning in urban air mobility. His publications span journals like Journal of Guidance, Control and Dynamics , Transportation Research Part C , and IEEE Transactions on Intelligent Transportation Systems , with conference contributions at IISE and FAIM. His research combines theoretical advancements with practical applications in smart cities and logistics. NSF Career Award (2020) Faculty Research Excellence Award (2021) IEEE PES Best Conference Paper (2015) IEEE Transactions on Smart Grid Best Reviewer (2015) Hubei Province Distinguished Bachelor’s Thesis Award (2006) Dr. Liu advises PhD students like Zhenyu Zhou and J. Chen. He has contributed to energy market modeling (with M.C. Ferris) and published extensively on drone operations, machine learning algorithms, and stochastic processes. His work includes U.S. patent pending applications for UAV safety systems.

Anastasia Girshinaمشاهده پروفایل

استادیار

• Household Finance
• Real Estate Finance
• Financial Intermediation
• +۳ مورد دیگر

Anastasia Girshina is an Assistant Professor in the Department of Finance at the Stockholm School of Economics (SSE) and Deputy Director at MiDA (the Institute for Micro Data at SSE & SHoF). She also serves as a Research Fellow at the Swedish House of Finance. Her research focuses on household finance, real estate finance, and applied microeconomics, with emphasis on gender disparities in wealth accumulation, fiscal policy impacts, and behavioral finance. Previously, Girshina held a Postdoctoral Fellowship and worked as an Economist at the Luxembourg Central Bank’s Financial Stability Department. Her work has explored topics such as peer effects in stock market participation, housing affordability through tax subsidies, and gender differences in real estate returns. Key achievements include winning a prize for her collaborative study on housing affordability and tax subsidies (2022). Her research often intersects policy design, wealth dynamics, and behavioral insights, with ongoing projects on financial intermediation competition and herding in financial markets. Girshina collaborates with institutions like MiDA and SHoF, leveraging microdata for policy-relevant analysis. Her academic contributions span journals and conferences, with a focus on bridging theoretical models with real-world economic challenges.

Geoffrey S.D. Beachمشاهده پروفایل

استاد

• Spintronics
• Magnetic Materials
• Nanotechnology
• +۳ مورد دیگر

Geoffrey S.D. Beach is the Toyota Professor in Materials Processing and Professor of Materials Science and Engineering at MIT, and Co-director of the Materials Research Laboratory . His research focuses on spin dynamics, spintronics, and nanoscale magnetic materials, aiming to revolutionize data storage and computation through advanced instrumentation. Education: Bachelor of Science in Physics, California Institute of Technology (1997) PhD in Physics, University of California San Diego (2003) Research Interests: Professor Beach investigates the manipulation of magnetic properties using electric fields, voltage-controlled magnetic order, and the dynamics of skyrmions and domain walls. His work emphasizes materials like ferrimagnetic insulators and garnets, leveraging innovations in solid-state hydrogen gating and interfacial phenomena. Awards: Fellow, IEEE (2023) Junior Bose Award (2009) Labs & Teams: His lab, the Beach Group , develops cutting-edge optical and electrical tools to study magnetization dynamics at nanoscale. Key projects include voltage-gated optical devices and magneto-ionic control of magnetism. Grants & Collaborations: His work is supported by initiatives such as MIT’s Materials Research Laboratory and industry partnerships, though specific grants are not listed here.

• Plasma Physics
• Laser-Plasma Interaction (LPI)
• Inertial Confinement Fusion (ICF)
• +۱۰ مورد دیگر

Robert Kingham is a Reader in Plasma Physics at the Department of Physics, Faculty of Natural Sciences, Imperial College London. His research focuses on theoretical plasma physics, including Laser-Plasma Interaction (LPI), Inertial Confinement Fusion (ICF), and High Energy Density Physics (HEDP). He specializes in developing multi-dimensional kinetic and fluid simulation codes to study energy and particle transport, magnetic-field dynamics, and non-local transport phenomena in laser-plasmas. Over 20 years, he has contributed to understanding fundamental processes in high-power laser interactions with matter (10^12–10^15 W, 1 ps–10 ns durations). He has conducted research on magnetized transport in tokamak scrape-off layers during a 2016/17 sabbatical at Culham Centre for Fusion Energy (Oxfordshire). His affiliations include the Plasma Physics Group, Space, Plasma and Climate Community, and the Physics Department at Imperial College. Key research themes include fast-electron transport in fast-ignition scenarios (CTC, KALOS projects), non-local heat-flow modeling, and spontaneous B-field generation in plasmas. Teaching roles include undergraduate courses in Differential Equations (2019), Computational Physics (2013–2016), Plasma Physics (2009–2014), and Basic Mechanics, Vibrations & Waves (2006–2009). He also served as a lecturer at the Culham Summer School (2004–2010). His invited talks span topics like Vlasov-Fokker-Planck methods, non-local transport modeling, and magnetic confinement fusion. Research collaborations include projects on magnetized transport in laser-plasmas and advanced simulation techniques for fusion energy applications.

• Computer Vision
• Generative Models
• Image-Text Joint Modeling
• +۵ مورد دیگر

Svetlana Lazebnik is a Full Professor and Willett Faculty Scholar in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), part of the Grainger College of Engineering. She holds a Ph.D. from UIUC (2006) and previously served as an Assistant Professor at the University of North Carolina at Chapel Hill (2007–2011). Her research focuses on computer vision, including generative models for virtual try-on, image stylization, scene understanding, and joint modeling of images and language. She has advised numerous Ph.D. students and postdocs, many of whom now hold prominent academic and industry roles. Education: Ph.D. in Computer Science, UIUC (2006); supervised by Jean Ponce. Research Interests: Her work spans generative adversarial networks (GANs), diffusion models, virtual try-on systems (e.g., Dressing-in-Order, Street Try-On), exemplar-based stylization, and large-scale photo analysis. She has pioneered spatial pyramid matching and contributed to binary code learning for image retrieval. Key Awards: NSF CAREER Award (2008), Microsoft Research Faculty Fellow (2009), Sloan Research Fellow (2013), IEEE Fellow (2021), and the Longuet-Higgins Prize (2016) for her CVPR 2006 paper. Teaching: Recent courses include CS 444 (Deep Learning for Computer Vision), CS 543 (Computer Vision), and a Ph.D. Job Search Seminar. She has also taught at UNC Chapel Hill. Grants & Funding: Supported by NSF, Amazon, AWS, Microsoft, Sloan Foundation, Google, ARO, and Adobe. Notable grants include CCF 2348624 and IIS 1718221. Labs/Groups: Leader in the Illinois CS Vision Group, contributing to collaborative projects on embodied AI, multi-agent systems, and visual-semantic reasoning.

• Additive Manufacturing
• Micro Metal Forming
• Tribology
• +۴ مورد دیگر

Dr Dongbin Wei is an Associate Professor at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney (UTS), with a career spanning academia and industry. He holds a PhD in Materials Processing Engineering from the University of Science and Technology Beijing (2001) and academic appointments from 2005–2012 at the University of Wollongong (Research Fellow to Lecturer) and 2013–2017 at UTS (Senior Lecturer) before his promotion to Associate Professor in 2018. His research lies at the intersection of Mechanical Engineering , Manufacturing Engineering , and Materials Processing , focusing on: Ultrasonic Additive Manufacturing (UAM) Micro Metal Forming and Size Effects Tribology and Lubrication Numerical Simulations of Material Processing Composite Material Fabrication Key contributions include: Development of the Springback Path–Displacement Adjustment (SP-DA) method for stamping accuracy Advancements in femtosecond laser texturing for silicon wettability control Studies on nanolubrication in hot rolling Optimization of micro-deep drawing parameters He has secured competitive grants from the Australian Research Council (ARC) and industry partners like Weir Minerals Australia Ltd , including projects on: Revolutionizing mineral separation via additive manufacturing Super high-speed grinding technologies Mechanics of micro composite drill fabrication As a lead supervisor, he guided the 2022 thesis 'Creation and Validation of 3D Printable Mineral Separation Spiral' . His work bridges theoretical analysis, computational modeling (FEM/FEA), and practical validation in advanced manufacturing systems.

Veysel Murat İstemihan Gençمشاهده پروفایل

استاد

• Power Systems
• Transient Stability Assessment
• Machine Learning in Power Systems
• +۷ مورد دیگر

Veysel Murat İstemihan Genç is a Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU), College of Engineering. His research is centered on modern power systems, with a focus on transient stability, cybersecurity, and integration of renewable energy sources. He actively leads multiple research projects and supervises graduate students in advanced power system technologies. Research Interests: His work spans key areas including transient stability assessment, machine learning applications in power systems, cyber-attack detection in AGC systems, and dynamic security evaluation under high renewable penetration. He employs cutting-edge techniques such as ensemble learning, deep neural networks, and hybrid optimization algorithms. Publication Trends: Recent publications (2023–2025) highlight a strong trend toward integrating AI and machine learning for real-time transient stability prediction, cybersecurity in distributed energy systems, and performance optimization of solar and wind-integrated grids. His work frequently addresses challenges in low-inertia systems and false data injection attacks. Scientific Projects: Strengthened Machine Learning-Based Dynamic Security Evaluation for Transient Stability under False Data Injection Attacks (BAP, 2025) Analysis and Control Methods for Stability of Large-Scale Low-Inertia Power Systems (BAP, 2023–2024) Dynamics Security Evaluation of Renewable-Rich and Cyber-Attacked Power Systems (BAP, 2022–2024) Risk-Based Stability Assessment and Corrective Control Methods in Power Systems (BAP, 2019–2022) Wide-Area Monitoring Protection and Control System Design Using Advanced Signal Processing and Machine Learning (TÜBİTAK, 2018–2020) Advising and Grants: He is the principal investigator (PI) on multiple funded research projects from BAP and TÜBİTAK, indicating strong grant acquisition and leadership. His supervision of 27 ongoing theses reflects an active role in mentoring graduate students in electrical engineering and power systems. Labs and Teams: While specific lab names are not mentioned, his projects suggest leadership in a research group focused on smart grid technologies, AI-enabled power system security, and renewable integration at Istanbul Technical University.

Ye (Sarah) Sunمشاهده پروفایل

دانشیار

• Wearable sensors
• Wearable robotics
• Smart and connected health
• +۳ مورد دیگر

Ye (Sarah) Sun is an Associate Professor in the Department of Mechanical Engineering at the University of Virginia (UVA), part of the School of Engineering and Applied Science. She joined UVA in 2021 after serving as an Associate Professor at Michigan Technological University. Her work focuses on wearable sensors, robotics, smart health systems, and cyber-physical systems. She leads the WEARLab research group. Education: Ph.D. in Electrical Engineering from Case Western Reserve University (2021), B.S. in Instrumentation Engineering from Tianjin University (not specified). Research interests include wearable electronics, health monitoring, and human-technology interaction. Her interdisciplinary approach integrates engineering innovations with healthcare applications. Notable projects involve self-powered triboelectric sensors and optical fiber-based health monitoring systems. Recent publications highlight advancements in photodiode technologies for high-frequency applications, including millimeter-wave generation and photonic integrated circuits. Awards include the NSF CAREER Award (2018) and NSF BRITE Award (2022). She has organized major conferences and holds editorial roles in health technology journals. Grants include NSF funding for cyber-physical systems and smart health initiatives. Her lab collaborates on projects involving wearable robotics and connected health solutions, with a focus on real-world applications in healthcare and IoT.