جست‌وجوی استاد و پژوهشگر

Raymond Tellesمشاهده پروفایل

دانشیار مدعو

• Chicana/o Film
• Latina/o Film
• People of Color Film
• +۳ مورد دیگر

Raymond Telles is an Adjunct Associate Professor in the Department of Ethnic Studies at the University of California, Berkeley . With a 25-year career in film and television, he specializes in documentary productions addressing social justice, labor movements, and Chicana/o-Latina/o narratives. His work spans Public Television, ABC, NBC, and PBS, focusing on impactful stories like Cesar Chavez's farm workers' movement and juvenile justice systems. Key Productions: 'The Fight in the Fields' (Sundance 1997), 'Children of the Night' (DuPont Award winner), and 'In Search of Law and Order' (PBS/Channel 4). Recent Works: 'The Storm that Swept Mexico' (PBS) and 'Race is the Place' (PBS). His research interests center on Chicana/o-Latina/o film and People of Color Film , emphasizing documentary journalism's role in social advocacy. Telles has earned over 30 awards , including three Emmy Awards and the DuPont-Columbia Gold Baton. He currently serves as Northern California producer for Media Link International, collaborating with tech giants like Google and Siemens. Awards highlight his impact in broadcast journalism, with recognitions from major festivals and institutions. His teaching and production bridge academic research with public engagement through media.

Hiroshi Yokoyamaمشاهده پروفایل

استاد

• Liquid Crystals
• Nanotechnology
• Soft Matter Physics
• +۶ مورد دیگر

Hiroshi Yokoyama is a distinguished academic and researcher in the fields of chemical physics and nanotechnology. He holds the position of Professor and Ohio Research Scholar at Kent State University's Liquid Crystal Institute and Department of Physics. Previously, he served as Director of the Liquid Crystal Institute from 2011 to 2016. His career includes roles at the Electrotechnical Laboratory (Japan), Tokyo University of Science, and the National Institute of Advanced Industrial Science and Technology (AIST). Yokoyama specializes in liquid crystal physics, soft matter systems, and nanofabrication, with contributions to understanding interfacial phenomena, scanning probe microscopy, and nanostructured materials. He has been recognized with prestigious awards, including the Ichimura Academic Award and Science and Technology Agency Director-General's Award. Education: B.A. (1977), M.A. (1979), Ph.D. (1987) in Engineering from Tokyo Institute of Technology. Professional Roles: Visiting Scientist at AT&T Bell Labs (1987–1988), Director of the Electrotechnical Laboratory's Molecular Physics Section (1992–2001), and Project Director of the ERATO Nanostructured Liquid Crystal Project (1999–2004). Research Interests: Liquid crystals, nanotechnology, soft matter physics, colloids, and biological systems. Focus on self-organization, nano-fabrication, and applications in optical devices and nanoelectronics. Awards: 28th Ichimura Academic Award (1996), Science and Technology Agency Director-General's Award (1998). His work spans experimental and theoretical research, including pioneering studies on liquid crystal orientation phenomena, scanning Maxwell stress microscopy, and the discovery of monolayer liquid crystals. Yokoyama is actively involved in academic leadership, serving on editorial boards and international advisory committees for journals and research institutions.

Torsten Mützeمشاهده پروفایل

استاد

• Discrete Mathematics
• Theoretical Computer Science
• Graph Theory
• +۵ مورد دیگر

Torsten Mütze is a Professor at the Institute of Mathematics at the University of Kassel. Previously, he held positions as an Assistant Professor at the University of Warwick (2019–2024) and was affiliated with Charles University Prague's Department of Theoretical Computer Science and Mathematical Logic. His academic journey includes a postdoc under Martin Skutella at TU Berlin, research stays at Georgia Tech and ETH Zurich, and a software engineering role at Supercomputing Systems Zurich. Education: PhD in 2011 from ETH Zurich under Angelika Steger's supervision Master's and Bachelor's degrees in related fields Research Interests: Focuses on discrete mathematics and theoretical computer science, including combinatorial algorithms, graph theory, computational geometry, order theory, Ramsey theory, and combinatorial games. His work bridges foundational theory and real-world applications, particularly in algorithm design and combinatorial generation. Advising & Grants: Supervised students: Francesco Verciani, Nastaran Behrooznia, Namrata, Arturo Merino, Frieder Smolny, Karl Däubel, Jerri Nummenpalo, and Ondřej Mička Funded projects: DFG Heisenberg grant 522790373, Chancellor's International Scholarships, and EU funding Labs & Collaborations: Organizes workshops like 'Combinatorics, Algorithms and Geometry' and contributes to research networks such as the 'Combinatorial Optimization and Graph Algorithms' group. His work involves collaborations with institutions globally, including ETH Zurich, Georgia Tech, and TU Berlin.

• Signal Processing
• Financial Signal Analysis
• Machine Learning
• +۵ مورد دیگر

Ali Akansu is a Professor in the Department of Electrical and Computer Engineering at NJIT. His academic career spans multiple decades, with significant contributions to signal processing, financial engineering, and multimedia communications. He has led or co-led four major NSF-funded projects, including the Center for Digital Video & Media Research and the Laboratory for Multimedia Signal Processing and Communication. His research focuses on topics such as eigenanalysis for financial portfolios, machine learning in network analysis, and multimodal affective state assessment using EEG and fNIRS. Key research areas include financial signal processing, portfolio optimization, eigensubspace applications, and data hiding techniques. Notable projects involve FPGA-based real-time risk analysis systems and GPU implementations for eigenportfolio analysis. He has published over 190 peer-reviewed articles, with impactful work in journals like Journal of Investment Strategies and Brain Sciences . His recent work combines machine learning with signal processing to address challenges in network traffic forecasting and financial market dynamics. He has also contributed to biomedical signal processing through studies on affective state assessment using neuroimaging techniques. Awards and recognitions include a h-index of 27 and over 2,694 citations. Grants: National Science Foundation (1991-1993, 1997-2002): Real-Time Color Video Workstation, Multimedia Signal Processing Lab, and Digital Video Research Center Labs/Teams: Leadership in NJIT's Laboratory for Multimedia Signal Processing and Financial Signal Processing groups

Mislav Grgicمشاهده پروفایل

استاد

• Image Processing
• Biometrics
• Digital Video Communications
• +۵ مورد دیگر

Mislav Grgic is a Full Professor at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), where he has been working since 1997. He currently serves as President of the Deans' Club - Association of Deans of Croatian University Faculties (2022-present) and as the 10th Grand Master of The Society of Brethren of the Croatian Dragon (2021-present). Previously, he was Dean of FER (2014-2018), the youngest ever elected to this position, and served as Special Advisor to the Rector of University of Zagreb (2015-2022). His educational background includes B.Sc. (1997), M.Sc. (1998), and Ph.D. (2000) degrees in electrical engineering, all from University of Zagreb's Faculty of Electrical Engineering and Computing. He was a visiting researcher at University of Essex, United Kingdom (1999-2000). Professor Grgic's research focuses on image processing, biometrics, digital video communications, and medical imaging applications. His work spans digital mammography for breast cancer detection, face recognition systems, image compression, and computer-aided diagnosis. He has published over 200 papers in books, journals and conference proceedings, with significant contributions to the field of image quality assessment and medical imaging analysis. His recent publications demonstrate continued leadership in image processing, with emphasis on image quality assessment, medical imaging applications, and educational outreach. His work bridges theoretical research with practical applications, particularly in healthcare technology and engineering education. Among his numerous honors and awards are: Croatian State Science Award for 2018 for popularization of technical sciences Order of the Croatian Star with the Effigy of Rudjer Boskovic IEEE Croatia Section Distinguished Service Award Fran Bosnjakovic Award - highest award in technical sciences of University of Zagreb Multiple Josip Loncar medals from FER Professor Grgic has been actively involved in professional service, including as Chair of IEEE Croatia Section (2013-2016) and as a full member of the Croatian Academy of Engineering since 2012. He has served as a guest editor for special issues in prestigious journals focusing on facial image processing and pattern recognition-based methods for biometric re-identification.

• Theoretical Physics
• Particle Physics
• Nuclear Physics
• +۷ مورد دیگر

Eero Aleksi Kurkela is an Associate Professor in Theoretical Physics at the Department of Mathematics and Physics, University of Stavanger, within the Faculty of Science and Technology. His research focuses on extreme matter conditions, including quark-gluon plasma formation in particle colliders and neutron star cores. He leverages Quantum Chromodynamics (QCD) to model ultrarelativistic nuclear collisions and astrophysical phenomena. Dr. Kurkela holds a PhD from the University of Helsinki (2006–2008) and has held postdoctoral positions at ETH Zürich (2008–2010) and McGill University (2010–2013). He became a Marie Curie Senior Fellow at CERN (2013–2015) and later a CERN staff member (2015–2020). His expertise bridges particle physics and astrophysics, with contributions to QCD thermodynamics, neutron star properties, and heavy-ion collision dynamics. His research interests include: Quark matter and phase transitions under extreme densities/temperatures Thermalization processes in non-equilibrium QCD plasmas Gravitational wave constraints on neutron star equations of state Heavy-ion collision modeling using kinetic theory and hydrodynamics Recent articles highlight studies on neutron star cores, quark-gluon plasma dynamics, and gravitational wave astronomy applications. His work has been featured in Nature Physics , Physical Review Letters , and collaborations with CERN and international institutions.

Isaac Kimمشاهده پروفایل

استادیار

• Quantum Computing
• Quantum Information Theory
• Theoretical Computer Science
• +۴ مورد دیگر

Isaac Kim is an Assistant Professor in the Department of Computer Science at the University of California, Davis. His research focuses on quantum computing, quantum information theory, and their intersections with theoretical computer science and condensed matter physics. He actively explores topics such as quantum error correction, topological phases of matter, entanglement entropy, and fault-tolerant quantum architectures. Key contributions include advancements in code-switching for magic state preparation, modular commutators in conformal field theories, and noise-reduction strategies for superconducting qubits. His work frequently bridges quantum computation with foundational questions in physics, such as holography and entanglement geometry. Kim has been honored with the National Science Foundation CAREER Award for his innovative research program in quantum information theory. His projects often emphasize interdisciplinary approaches, combining algorithmic techniques with insights from many-body physics to address challenges in scalable quantum technologies.

Samuel Kozaitisمشاهده پروفایل

استاد

• Image Processing
• Higher-order Statistics
• Infrared Imaging
• +۵ مورد دیگر

Samuel Kozaitis is a Professor at Florida Institute of Technology in the Department of Electrical Engineering and Computer Science, College of Engineering and Science. His expertise spans Image Processing, Higher-order Statistics, and Infrared Imaging. He has contributed extensively to robotics, mechatronics, and environmental engineering through his research. Research interests include advanced image denoising techniques, robotic kinematics, nuclear energy applications, and environmental protection strategies. His work bridges theoretical foundations with practical implementations in fields like medical imaging and space exploration. Notable research trends include contributions to: Robotic systems and Stewart platform kinematics Nuclear fusion and energy sustainability Medical and thermal imaging enhancement Social media-driven traffic analysis Sensor fusion and multimodal imaging His publications span over two decades, with recent focus on space technology, renewable energy management, and autonomous systems.

Andreas Kleefeldمشاهده پروفایل

استاد

• Boundary Integral Equations
• Non-linear Eigenvalue Problems
• Acoustic Scattering
• +۴ مورد دیگر

Prof. Dr. Andreas Kleefeld is a Professor at the University of Applied Sciences Aachen (Campus Jülich) in the Faculty of Medical Engineering and Technomathematics, where he teaches courses such as Analysis and Stochastics. He also leads the Algorithm, Tools and Methods Lab (Numerical and Statistical Methods) at the Jülich Supercomputing Centre (JSC), part of the Institute for Advanced Simulation (IAS) at Forschungszentrum Jülich. His research focuses on boundary integral equations, non-linear eigenvalue problems, acoustic and electromagnetic scattering, and inverse problems. He is a Principal Investigator in the Helmholtz Information Program 1, Topic 1. Research Interests: Kleefeld’s work bridges theoretical and applied mathematics, with emphasis on numerical methods for partial differential equations, scattering theory, and resilience modeling in economic systems. His contributions include advancements in direct sampling methods for inverse scattering, spectral Galerkin schemes for stochastic PDEs, and applications of mathematical morphology in color image processing. Recent Publications: His 2025 works explore economic resilience in global supply networks and fourth-order numerical schemes for reaction-diffusion systems. He has also published extensively on inverse scattering techniques for anisotropic materials and boundary value problems. Labs & Teams: As Group Leader at JSC, he oversees the development of numerical algorithms and statistical methods applied to high-performance computing challenges. His lab collaborates on projects within the Helmholtz Association, focusing on information science and simulation infrastructure.

• Theoretical Computer Science
• Complexity Theory
• Analysis of Boolean Functions
• +۲ مورد دیگر

Hamed Hatami is an Associate Professor in the School of Computer Science at McGill University, with cross-appointment in Mathematics. His research lies at the intersection of theoretical computer science and mathematics, focusing on analytic methods in complexity theory, learning theory, analysis of Boolean functions, and additive combinatorics. Hatami received the IEEE Computer Society Technical Achievement Award in 2012 for his contributions. He has published extensively on graph theory, property testing, communication complexity, and combinatorial limits. Hatami teaches advanced courses in algorithm design, complexity theory, and analysis of Boolean functions, and mentors graduate students through research collaborations. Prior to McGill, he held positions at the Institute for Advanced Study and Princeton University.

• Theoretical Computer Science
• Graph Algorithms
• Computational Geometry
• +۳ مورد دیگر

Thomas Depian is a PreDoc Researcher affiliated with the Faculty of Informatics at Technische Universität Wien, specializing in the Department of Algorithms and Complexity. His research focuses on computational geometry, graph algorithms, parameterized complexity, and data visualization, with particular emphasis on boundary labeling, dynamic map labeling, and linear layout optimization. Current projects: Engineering Linear Ordering Algorithms for Optimizing Data Visualizations (2020–2025) Past projects: HumAlgo (2018–2023) His work spans theoretical algorithm design, complexity analysis, and practical applications in geographic information systems and data visualization. Publications include contributions to top-tier conferences such as ISAAC, GD, GIScience, and WALCOM. Areas of investigation include constraint satisfaction, geometric optimization, and parameterized algorithm frameworks. Depian completed his Diploma Thesis at TU Wien in 2023, focusing on grouping and ordering constraints in boundary labeling. His academic output demonstrates expertise in solving complex computational problems with interdisciplinary applications.

• Algorithms
• Graph Drawing
• Computational Geometry
• +۳ مورد دیگر

Alexander Dobler is a PreDoc Researcher at the Algorithms and Complexity Department of Technische Universität Wien. His research focuses on algorithmic visualization, graph drawing, and combinatorial optimization. He contributes to optimizing layout algorithms for diagrams, treemaps, and storylines, with a particular emphasis on minimizing crossings and corners in geometric representations. Key projects include 'Engineering Linear Ordering Algorithms' (2020–2025) and participation in the PACE competition with solver 'Touiouidth'. His work bridges theoretical computer science with practical visualization challenges, addressing both discrete mathematics and computational geometry. Education: BSc, Dipl.-Ing. (engineering degree) Labs/Teams: Part of the Algorithms and Complexity group at TU Wien Grants: Involved in HumAlgo (2018–2023) and REVEAL-AI (2020–2024) His recent publications (2023–2025) address topics like cluster vertex splitting complexity, hoop diagrams for set visualization, and optimizing linear diagrams. He has supervised Marcel Holzmüller’s 2025 diploma thesis on expanding planar storyplan problems.

• Quantum Information
• Functional Analysis
• Operator Algebras
• +۳ مورد دیگر

Li Gao is a Professor at the School of Mathematics and Statistics, Wuhan University. His research bridges functional analysis and quantum information, with a focus on operator algebras and noncommutative analysis. Previously, he held positions at the University of Houston (tenure-track assistant professor, 2021–2023), Technical University of Munich (postdoc, 2021), and Texas A&M University (postdoc, 2018–2020). He earned his Ph.D. in Mathematics from the University of Illinois at Urbana-Champaign (2018) and a Bachelor's degree from Wuhan University (2012). His research explores quantum entanglement, quantum algorithms, and entropy inequalities in quantum systems. He actively organizes seminars like the Yangtze Analysis Seminar (2025), East Lake Quantum Seminar (2024), and undergraduate Quantum Information Seminars. Recent teaching includes Functional Analysis (Spring 2025) and Linear Algebra A. Key research themes include logarithmic Sobolev inequalities, quantum channel properties, and the interplay between noncommutative geometry and quantum information. His work addresses foundational questions in quantum computing, such as Shor's algorithm and Bell inequality violations, as seen in student-led seminar discussions on topics like quantum entanglement and Heisenberg uncertainty principles. Advising includes mentoring postdocs and Ph.D. students in interdisciplinary projects. He collaborates across departments like the Li Yinan School of Artificial Intelligence and Guanglin School of Mathematics. Current initiatives focus on quantum machine learning and cutting-edge quantum communication protocols.

Paul DesJardinمشاهده پروفایل

استاد

• Multiphase reacting flows
• Propulsion
• Fire and combustion
• +۴ مورد دیگر

Paul DesJardin is a Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, where he also serves as Director of the Center for Hybrid Rocket Exascale Simulation Technology (CHREST) and the Combustion and Energy Transport Laboratory (CET). He holds a PhD from Purdue University (1998), an MS from Purdue (1995), and a BS from the University at Buffalo (1993). His research focuses on multiphase reacting flows, propulsion systems, fire and combustion phenomena, computational fluid dynamics (CFD), and fluid-structure interaction. Key areas include radiative heat transfer in combustion systems, turbulent boundary layer dynamics, and advanced numerical methods for exascale computing. His work bridges theoretical models with experimental validation, particularly in hybrid rocket combustion and microgravity environments. Notable contributions include developing radiative flamelet models for solid fuel flame spread, uncertainty quantification in combustion diagnostics, and physics-informed machine learning approaches for chemistry tabulation. He has pioneered experimental techniques like two-color pyrometry for non-intrusive heat flux measurements in hybrid rocket systems. Awarded Fellow of ASME (2020) and UB’s Exceptional Scholar Award (2019), his research has been funded through grants focusing on combustion modeling, fire safety, and aerospace engineering challenges. He advises students in fluid dynamics and combustion, leading interdisciplinary teams at CHREST and CET labs.

Rekha Sharmaمشاهده پروفایل

پژوهشگر

• Energy Harvesting
• Materials Science
• Organic Electronics
• +۳ مورد دیگر

Dr. Rekha Sharma is a Researcher at the Cluster of Excellence livMatS (Freiburg Center for Interactive Materials and Bioinspired Technologies) at the University of Freiburg. Her work focuses on developing novel organic materials to enhance triboelectric charge separation efficiency for energy harvesting applications. She employs advanced techniques like AFM-based force spectroscopy and Kelvin Probe Force Microscopy to investigate material interactions at interfaces. Her research spans interdisciplinary fields including materials science, electrochemistry, and optoelectronics, with a particular emphasis on organic donor-acceptor conjugates, ferrocene-based compounds, and surface engineering. She collaborates with Prof. Dr. Birgit Esser and contributes to projects like the IDEASfactory@FIT initiative. Dr. Sharma’s publications demonstrate expertise in organic synthesis, photophysical properties, and applications in sustainable energy, biomedical devices, and industrial coatings. Her work bridges fundamental material science with practical applications in energy systems and environmental sustainability.