جست‌وجوی استاد و پژوهشگر

• Analog and Mixed-Signal Integrated Circuits
• RF and mm-Wave IC Design
• Data Converters (ADC/DAC)
• +۴ مورد دیگر

Yong Chen is a full Professor at the University of Macau within the State Key Laboratory of Analog and Mixed-Signal . He received his PhD in 2010 from the Chinese Academy of Sciences, Institute of Microelectronics . Prior to his current role, he held appointments at Nanyang Technological University (2010-2013) and Tsinghua University (2010). His research spans analog, mixed-signal, RF and mm-wave integrated circuits with emphasis on data converters, phase-locked loops, energy-harvesting systems, computing-in-memory accelerators, and silicon-photonics interfaces . He has consistently published in premier venues such as ISSCC, JSSC, TCAS-I/II, TVLSI , and CICC , demonstrating expertise from device-level circuits to system-level architectures. Recent work (2023-2025) showcases advances in: Ultra-high-speed DACs and ADCs (>16 GS/s) with record SFDR and FoM Computing-in-Memory processors achieving 258 TOPS/W for AI inference Energy-harvesting rectifiers with >22 dB dynamic range and >47 % peak PCE mm-wave/THz CMOS circuits for imaging and 5G/6G communications Ring-oscillator and sampling PLLs with sub-50 fs jitter and He serves on technical program committees and as guest editor for flagship journals, and collaborates extensively with leading groups worldwide, including those at Texas Tech University, Huazhong University of Science and Technology, and Nanjing University, among others.

Laura Menzeمشاهده پروفایل

پژوهشگر ارشد

• Education and Training
• Labor and Labor Market
• Welfare State and Social Inequality
• +۳ مورد دیگر

Dr. Laura Menze is Head of the Research Data Centre at the Federal Institute for Occupational Safety and Health (BAuA) since February 2021. She holds a PhD in Sociology from Freie Universität Berlin (2019) and a Diploma in Sociology from TU Dresden (2010). Her research focuses on vocational education systems, school-to-work transitions, labor market integration, and social inequality. She has served as Research Fellow in the College for Interdisciplinary Educational Research (CIDER) since 2019 and previously managed the National Educational Panel Study (NEPS) vocational training module (2019–2021). Key education milestones include: PhD, Freie Universität Berlin (2019): “From Apprenticeship Training to the Labor Market. The Role of Training Occupations” Diploma in Sociology, TU Dresden (2010): “Returns to Vocational Education in Germany in Transformation” Her research explores how structural factors and individual agency shape outcomes for low-achieving school leavers, the role of vocational training in reducing inequality, and the impact of institutional labeling on NEET risks. She has published widely on regional labor market dynamics, policy interventions, and inclusive education. Publications highlight themes like: Regional labor market disparities influencing occupational aspirations Long-term consequences of segregated education for special needs students Evaluation of pre-vocational training programs for disadvantaged youth She collaborates on projects like the NEPS Stage 6 study and the N.O.R.D. initiative analyzing pre-vocational program effectiveness. Her work emphasizes data-driven policy solutions to enhance labor market integration and reduce educational inequalities.

Begoña Calvoمشاهده پروفایل

استاد

• Computational Biomechanics
• Finite Element Methods
• Biomechanics of Soft Tissues
• +۵ مورد دیگر

Begoña Calvo is a Professor at the University of Zaragoza, affiliated with the Bioengineering Division of the Aragón Institute of Engineering Research (I3A) and CIBER-BBN. Her research focuses on computational biomechanics, particularly modeling soft tissues like ligaments, corneas, and skeletal muscles using finite element methods. She has held academic positions since 1989, progressing from Lecturer to Associate Professor (1996–2009) and eventually achieving the rank of Catedrático (Professor). Her educational background includes a Ph.D. and M.Sc. in Mechanical Engineering from the University of Zaragoza (1994 and 1989). Her funded projects include studies on corneal biomechanics, abdominal wall modeling, and computational tools for ophthalmic surgery planning. She has advised over 10 Ph.D. students, many of whom focused on biomechanical simulations of musculoskeletal systems and ocular tissues. Research interests span corneal biomechanics, surgical outcomes prediction (e.g., intrastromal ring surgery), and computational modeling of muscle dynamics. Recent work addresses food engineering challenges like burger cooking optimization and crêpe digital twins. Her methodologies combine experimental validation with advanced numerical techniques, including machine learning and finite element analysis. Notable contributions include personalized corneal biomechanical models and biomechanical evaluations of hernia repair meshes. Her lab collaborates on interdisciplinary projects involving clinical partners and industry, focusing on translating computational models into clinical and industrial applications.

• Ultrafast Optics
• Laser Physics
• Photoelectron Spectroscopy
• +۳ مورد دیگر

Nikoleta Kotsina is a Researcher at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Photonics and Quantum Sciences. Her work focuses on ultrafast optics, laser physics, and quantum dynamics, with expertise in developing advanced laser systems and studying molecular processes at femtosecond timescales. Her research interests include the generation of ultrafast laser pulses, soliton dynamics in nonlinear media, and their applications in strong-field physics. She has contributed to advancements in attosecond beamline technology, high-brightness ultraviolet sources, and photoelectron spectroscopy techniques. Kotsina's work often bridges experimental and theoretical approaches, particularly in understanding molecular excitation dynamics and symmetry effects in photochemical reactions. Collaborating internationally, her projects involve designing gas-filled fiber systems for sub-cycle pulse generation and optimizing surface high-harmonic generation. She also explores applications of machine learning in improving data analysis for charged particle imaging. Kotsina's publications reflect a strong emphasis on interdisciplinary research at the intersection of optics, quantum mechanics, and molecular chemistry.

Tamer Özsuمشاهده پروفایل

استاد

• Distributed Data Management
• Graph Databases
• RDF Systems
• +۲ مورد دیگر

Tamer Özsu is a University Professor at the David R. Cheriton School of Computer Science, University of Waterloo, where he previously served as Director (2007-2010) and currently holds the role of Associate Dean of Research. He is also a Distinguished Visiting Professor at Tsinghua University. Professor Özsu's research spans distributed data management, graph/RDF systems, and database fundamentals. His current work focuses on: Distributed graph processing algorithms SPARQL query optimization for RDF systems Streaming graph analytics Indexing techniques for modern hardware Distributed database architectures He has authored the seminal textbook Principles of Distributed Database Systems and co-edited the Encyclopedia of Database Systems . As founding Editor-in-Chief of ACM Books, he has shaped computing literature. His recent publications demonstrate continued innovation in graph partitioning, streaming graph algorithms, and scalable RDF processing. Özsu maintains active research leadership in database systems with over 30 years of influential contributions.

Sugata Banerjiمشاهده پروفایل

دانشیار

• Computer Vision
• Scene Understanding
• Machine Learning
• +۳ مورد دیگر

Sugata Banerji is an Associate Professor of Computer Science at Lake Forest College and Director of the Applied Data Center. His research focuses on computer vision, scene understanding, and machine learning, with applications in medical imaging and image retrieval. He holds a PhD in Computer Science from New Jersey Institute of Technology (2013) and a Postdoctoral fellowship in Computer Vision at George Mason University (2013–present). His educational background also includes a BE in Information Technology from West Bengal University of Technology. Research Interests include image processing, pattern recognition, and novel descriptors for object and scene classification. His work spans deep learning for medical diagnostics, efficient feature extraction methods like EFM-HOG, and geo-localization of buildings using computer vision. He has received the Department of Computer Science Travel Award (2012) and served as a Teaching Assistant (2008–2013). Key contributions include advancements in HOG descriptor variants (e.g., HaarHOG), color-based feature integration, and solar energy growth modeling. He teaches courses such as Roadmap to Computing with Python and Introduction to Computer Science, emphasizing practical programming and graphics problem-solving.

• Graph Data Management
• RDF and Semantic Web
• Database Theory
• +۳ مورد دیگر

Maxime Jakubowski is a PostDoc Researcher at TU Wien's Faculty of Informatics, affiliated with the Databases and Artificial Intelligence research group. Based in Room HA0320 at Favoritenstrasse 9, he can be contacted at maxime.jakubowski@tuwien.ac.at and maintains an ORCID profile (0000-0002-7420-1337). His research centers on graph data management within the Semantic Web ecosystem, specializing in RDF validation through shape constraint languages like SHACL and ShEx. He investigates formal foundations, expressiveness boundaries, and practical implementations including SQL compilation and neighborhood-based graph description. Current projects include FRESH (2021–2026), KtoAPP (2018–2025), and TARGET (2024–2028), focusing on graph data theory and implementation. Recent publications (2021–2025) demonstrate consistent contributions to RDF validation standards, with 14 articles addressing shape language formalization, compilation techniques, and provenance tracking. His work bridges theoretical database concepts with industrial applications in knowledge graph validation. Dr. Jakubowski supervises bachelor theses and teaches courses including Management of Graph Data (192.161) and Project in Computer Science. His research collaborations span international projects and the Dagstuhl Seminar 24102 on Shapes in Graph Data. He is an active member of the Databases and Artificial Intelligence research group, contributing to TU Wien's leadership in graph data management and Semantic Web technologies through both theoretical research and practical tool development.

Toyoko Orimotoمشاهده پروفایل

استاد

• Experimental Particle Physics
• High Energy Physics
• Higgs Boson Research
• +۴ مورد دیگر

Prof. Toyoko Orimoto is a Professor of Physics at Northeastern University's College of Science, specializing in experimental particle physics. She leads research at the CMS Experiment at CERN's Large Hadron Collider (LHC), focusing on Higgs boson physics, beyond the Standard Model (BSM) searches, and detector development. Her work includes studies of Higgs boson interactions, dark matter signatures, and the CMS electromagnetic calorimeter upgrade. Prof. Orimoto also advocates for diversity, equity, and inclusion in science. Education: PhD in Physics from UC Berkeley (2006), followed by postdoctoral roles at Caltech (2006-2009) and CERN (2009-2012). She has been at Northeastern since 2012. Research interests span experimental particle physics, including Higgs boson decay mechanisms, BSM physics (supersymmetry, extra dimensions), and future colliders like the muon collider. Her group contributes to CMS detector improvements, such as the MIP timing layer and electromagnetic calorimeter readout electronics. Notable achievements include co-winning the 2025 Breakthrough Prize in Fundamental Physics for LHC research and organizing the 2024 Large Hadron Collider Physics Conference at Northeastern. Her work bridges cutting-edge physics with detector technology and accelerator R&D.

Nachum Dershowitzمشاهده پروفایل

استاد

• Theoretical Computing
• Automated Reasoning
• Program Verification
• +۷ مورد دیگر

Nachum Dershowitz is a Full Professor at the School of Computer Science, Tel Aviv University, with a career spanning institutions like the University of Illinois at Urbana-Champaign, Microsoft Research, and the Weizmann Institute. His research bridges theoretical computer science, computational logic, and digital humanities. Fields: Rewrite systems, termination proofs, automated reasoning, program verification, computational linguistics Awards: Herbrand Award (2011), Test-of-Time Award (2006), Chair in Computational Logic (2012) Grants: NSF, ISF, Intel, Google, Israeli Ministry of Science His work on historical manuscript analysis combines computer vision with natural language processing, while his contributions to term rewriting systems have shaped automated deduction. He has edited volumes in logic and AI, and served as program chair for major conferences.

Liang Heمشاهده پروفایل

دانشیار

• Soft Robotics
• Wearable Robotics
• Augmented and Virtual Reality
• +۴ مورد دیگر

Liang He is an Associate Professor of Biomedical Engineering at the University of Oxford's Department of Engineering Science and an Official Fellow at Kellogg College. His research focuses on soft robotics, wearable robotics, and embodied artificial intelligence solutions for healthcare, including biosensors, haptic and VR technologies. He leads the Healthcare Biorobotics Lab (HBL) and contributes to The Podium Institute for Sports Medicine and Technology, developing AI-driven injury prevention systems in sports. Education: PhD in Medical Robotics (Imperial College London), MSc (University of Liverpool), BSc (Shanghai Jiao Tong University). Research Interests: Soft robotics, wearable robotics, augmented/virtual reality, machine haptics, generative AI for healthcare, and embodied tactile perception. He pioneered projects like the EPSRC Motion/RoboPatient initiatives (2017–2020) for medical training simulators and the Oxford Robotics Institute's soft-sensing skin program (2021). Professional Roles: Co-chair of the MPLS Division's Research Staff Forum (2022), member of Oxford's Research Staff Consultation Group, and recipient of the MPLS Enterprise & Innovation and Ideas2Impact Fellowships. Key Achievements: Developed sensorized laryngoscope training systems, magnetorheological elastomer valves for soft robots, and origami-based orthotic designs. His work bridges robotics, AI, and clinical applications, emphasizing tactile perception and embodied intelligence.

Cathy Macphersonمشاهده پروفایل

پژوهشگر ارشد

• Social Psychology
• Cognitive Science
• Mental Health
• +۶ مورد دیگر

Cathy Macpherson is a Research Fellow at Macquarie University's School of Psychological Sciences, affiliated with the Performance and Expertise Research Centre. Her ORCID identifier is 0000-0003-3434-9334 . Her research interests center on the dynamics of social interaction, focusing on interpersonal coordination mechanisms, anxiety modulation through environmental factors, and mental health impacts on everyday behavior. She employs advanced methodologies such as fractal dynamics analysis and gaze-tracking to investigate how attentional focus and partner gaze influence social connections. Her work also explores the role of sensory environments (e.g., background noise) in shaping collaborative motor behaviors. Recent publications highlight her exploration of attentional focus effects on coordination patterns, the interplay between social anxiety and motor synchronization, and textbook contributions explaining fundamental social psychology concepts. No scientific awards are explicitly mentioned in the provided texts. While no formal advisees or grant details are listed, she actively participates in academic presentations. In 2023, she co-presented at three events including 'Social connection on the dance floor: Movement coordination in small group silent disco leads to greater self-other overlap' and 'Investigating the influence of partner gaze on the relationship between interpersonal coordination and social anxiety', demonstrating her engagement in collaborative research dissemination. Her primary research hub is the Performance and Expertise Research Centre, where she collaborates with experts like Lynden Miles and Michael Richardson on projects analyzing social motor coordination and psychological state dynamics.

Ullrich Kötheمشاهده پروفایل

دانشیار

• Machine Learning
• Neural Networks
• Explainable AI
• +۶ مورد دیگر

Prof. Dr. Ullrich Köthe is an Associate Professor and group leader in the Visual Learning Lab Heidelberg at the University of Heidelberg . He focuses on Explainable Machine Learning , leveraging Invertible Neural Networks to enhance transparency and utility in image analysis and medical applications . He also maintains the widely used VIGRA image analysis library. Education: PhD in Informatics, University of Hamburg, 2000 Habilitation in Informatics, University of Hamburg, 2008 His research interests center around machine learning , image analysis , and scientific computing , particularly the development of robust algorithms for medical imaging , computer vision , and life sciences . His work on invertible neural networks and parameter-free segmentation has led to significant advancements in the field. Recent publications highlight his contributions to Bayesian inference , neural network interpretability , and stochastic modeling , with applications ranging from disease outbreak dynamics to connectomics . Key trends include generative models , parameter-free segmentation , and likelihood-free inference . Scientific Awards: DAGM 2003 Main Prize DAGM Best Paper Award 2008 He has supervised numerous Master and Bachelor theses in machine learning and image analysis , with teaching roles in Advanced Machine Learning and Explainable AI . His collaborative research grants include funding from HARMAN International (2024). He leads the Explainable Machine Learning subgroup and has contributed to open-source software projects like ilastik and VIGRA , which are critical tools in bioimage analysis .

Rob Jenkinsمشاهده پروفایل

استاد

• Cognitive Psychology
• Practical Ethics
• Decision Making
• +۶ مورد دیگر

Rob Jenkins is a Professor in the Department of Psychology at the University of York . He is a cognitive psychologist focusing on experimental methods and data analysis to address problems in practical ethics , face detection , and anthropogenic risk . 2013–present: Professor, University of York 2006–2013: Lecturer then Senior Lecturer, University of Glasgow 2004–2006: Scientist, MRC Cognition & Brain Sciences Unit His research explores mind perception and its ethical implications, particularly in human-robot interaction and AI. He investigates how weekly cycles affect risk tolerance and decision-making, with grants from the FTX Foundation , Leverhulme Trust , and British Academy . Recent studies include the Medusa effect for mind perception and face detection in contextual scenes . His work reveals general principles of decision-making under human-caused extinction risks (nuclear war, engineered pathogens, unaligned AI). Key publications include Face-evoked thoughts and How many faces do people know? He collaborates with researchers like Andrew Burton and Julia Prunty . Scientific Awards: Psychonomic Society prize (best paper) BPS Cognitive Section prize (best paper) RSE/Sir Thomas Makdougall Brisbane medal Joseph Lister Award for Science Communication Grants include Leverhulme Trust RPG-2019-085 (face detection) and FTX Foundation (cognitive hazards). He teaches Human Risk and Cognitive Anomalies, Decision Making, and Democracy modules.

Hans Jakob Wörnerمشاهده پروفایل

استاد

• Ultra-Fast Spectroscopy
• Physical Chemistry
• Molecular Dynamics
• +۵ مورد دیگر

Prof. Dr. Hans Jakob Wörner is a Full Professor of Physical Chemistry and Head of the Laboratory of Physical Chemistry at ETH Zürich's Department of Chemistry and Applied Biosciences. His research focuses on ultra-fast molecular spectroscopy with attosecond resolution (10 -18 s), aiming to characterize molecular valence shell dynamics through novel experimental methods. He leads the Atto Group, developing attosecond X-ray and laser spectroscopy techniques for studying electron and nuclear dynamics in liquids, clusters, and gases. Education: BSc (2003) and PhD (2007) in Physical Chemistry from ETH Zürich. Postdoctoral Work: Laboratoire Aimé Cotton (France) and National Research Council (Canada). Roles: Full Professor since 2013, ERC Consolidator Grant recipient (2017), and numerous international awards including the Coblentz Award (2018). Research interests include attosecond electron dynamics in molecules, liquids, and clusters; X-ray transient absorption spectroscopy; and intermolecular Coulombic decay in liquids. His lab pioneered attosecond techniques for imaging electron wave packets and studying conical intersection dynamics in aqueous systems. Awards: New Horizon Lectureship (2020) Coblentz Award (2018) ERC Consolidator Grant (2017) Carus Medal (2015) Young Academy Membership (2013) Lab & Collaborations: The Laboratory of Physical Chemistry at ETH Zürich focuses on ultrafast dynamics with state-of-the-art attosecond sources and liquid-jet technologies. Current projects explore proton transfer in aqueous solutions and Jahn-Teller effects in molecular cations.

Lei Gioiaمشاهده پروفایل

پژوهشگر ارشد

• Theoretical Physics
• Condensed Matter Physics
• Topological Materials
• +۳ مورد دیگر

Lei Gioia is a Sherman Fairchild Postdoctoral Scholar and Research Fellow in Theoretical Physics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics, and Astronomy. Her research focuses on topological materials, quantum anomalies, and condensed matter physics, with a particular emphasis on Dirac and Weyl semimetals, topological insulators, and the interplay between symmetry and quantum phenomena. Her work explores topics such as crystalline axion electrodynamics, topological responses to defects, and the role of interactions in shaping topological phases. Recent contributions include studies on chiral symmetries in lattice fermions, quantum size effects in topological nanoparticles, and fractional quantum Hall effects in Weyl semimetals. Lei Gioia holds a Sherman Fairchild Postdoctoral appointment at Caltech, reflecting her recognition in theoretical condensed matter physics. Her research integrates advanced theoretical frameworks with insights from quantum field theory and solid-state physics, often addressing fundamental questions about entanglement, anomalies, and emergent phenomena in topological systems. Her articles frequently address cutting-edge topics such as the interplay between long-range entanglement and momentum space topology, unquantized anomalies in semimetals, and the topological order in interacting systems. These studies underscore her expertise in bridging abstract theoretical concepts with experimental observations in novel materials.