جست‌وجوی استاد و پژوهشگر

David Mountمشاهده پروفایل

استاد

• Computational Geometry
• Algorithms
• Data Structures
• +۷ مورد دیگر

David Mount is a Professor in the Department of Computer Science at the University of Maryland, with an additional appointment at the University of Maryland Institute for Advanced Computer Studies (UMIACS). His primary research focus is Computational Geometry, particularly in designing, analyzing, and implementing data structures and algorithms for geometric problems. Applications of his work span image processing , pattern recognition , information retrieval , and computer graphics . He is a Fellow of the ACM and has received the ACM Recognition of Service Award twice. A member of the Algorithms and Theory Group, Mount has authored over 200 publications, many of which are available on Google Scholar, DBLP, and ArXiV. Research Focus Computational Geometry Algorithm Design and Analysis Geometric Data Structures Nearest Neighbor and Range Searching Clustering Algorithms Recent Publications Mount's recent publications (2023-2025) emphasize non-Euclidean geometry (e.g., Hilbert metric), dynamic geometric structures , and approximation algorithms for polytopes, Voronoi diagrams, and Delaunay triangulations. Collaborative works with students and researchers address challenges in kinetic data compression , label tracking , and geometric software development (e.g., Ipelets for polygonal geometry). Professional Activities Editorial Board Member, TheoretiCS (2021-present) Senior Associate Editor, ACM Trans. on Spatial Algorithms and Systems (2013-2020) Program Committee Member, FOCS , ESA , SODA , and other major conferences Awards ACM Fellow ACM Recognition of Service Award (twice)

• Transportation planning
• Dynamic traffic assignment
• Traffic estimation and prediction
• +۵ مورد دیگر

Xuesong Zhou is a Professor of Transportation Systems at the School of Sustainable Engineering and the Built Environment , Arizona State University (ASU). He leads the ASU Transportation+AI Lab and develops open-source tools like DTALite, NEXTA, and OSM2GMNS with over 100,000 downloads. His research focuses on multimodal transportation planning , dynamic traffic assignment , and rail scheduling with methodological contributions to traffic flow theory and operations research . Dr. Zhou's research bridges transportation system operations , computer applications for ITS , and logistics optimization . His work on differentiable programming reformulations and state-space-time network modeling has advanced real-time traffic prediction and multi-echelon facility scheduling . Scientific awards include: 2022 Elsevier Multimodal Transportation Best Article Award 2018 Transportation Research Part C Best Associate Editor Award 2012 INFORMS Railway Applications Section Best Paper Award He has advised 9 PhD students and 6 postdoctoral researchers to completion, with mentees now at institutions like Georgia Institute of Technology and Michigan State University. Current projects include NSF CONNECT and DOE Argonne collaborations on multi-scale traffic simulation and smart campus cyberinfrastructure .

• Applied Geometry
• Discrete Differential Geometry
• Numerical Analysis
• +۳ مورد دیگر

Max Wardetzky is a Professor at the Institute for Numerical and Applied Mathematics within the Faculty of Mathematics and Computer Science at the University of Göttingen, Germany. His office is located at Lotzestraße 16-18, 37083 Göttingen, and he can be reached via email at wardetzky@math.uni-goettingen.de or by phone at +49 551 39 26778. Professor Wardetzky leads the Discrete Differential Geometry Lab at the University of Göttingen, where he conducts research at the intersection of mathematics, computer science, and geometry processing. His work bridges theoretical foundations with practical applications in computer graphics and scientific computing. His primary research interests include: Applied Geometry Discrete Differential Geometry Numerical Analysis Geometry Processing Physical Simulation Computer Graphics Professor Wardetzky's extensive publication record demonstrates significant contributions to the field of discrete differential geometry and its applications. His work shows a consistent focus on developing mathematically rigorous yet computationally efficient methods for geometric problems. Key trends in his research include the development of discrete analogues of smooth geometric objects, the study of convergence properties between discrete and continuous models, and the application of these methods to problems in computer graphics and physical simulation. Professor Wardetzky has made substantial contributions to the theoretical foundations of discrete differential geometry while maintaining strong connections to practical applications. His work on discrete Laplacians, curvature approximations, and geometric flows has influenced both theoretical mathematics and practical geometry processing algorithms.

Shayan Aziznejadمشاهده پروفایل

پژوهشگر

• Machine Learning
• Acoustic Imaging
• Neural Networks
• +۳ مورد دیگر

Shayan Aziznejad is a Senior ML Scientist at Distran, working on the intersection of machine learning and acoustic imaging. He was previously an ML researcher at Daedalean AI (October 2022–December 2024) and a Ph.D. candidate at Ecole Polytechnique Fédérale de Lausanne (EPFL) , where he focused on mathematical optimization and signal processing under Prof. Michael Unser. His academic background includes dual B.Sc. degrees in Electrical Engineering and Pure Mathematics from Sharif University of Technology . Research Focus: Machine learning, neural network certification, wavelet analysis, Hessian-Schatten regularization, and sparse modeling. Scientific Recognition: Swiss National Science Foundation Postdoc Fellowship (2021) Best Student Paper Award at ICASSP (2019) Gold Medalist at Iranian National Mathematics Olympiad (2011) Academic Contributions: Authored 15+ publications in top-tier journals (SIAM, IEEE, etc.) and conferences (ICASSP, EUSIPCO), with a focus on Lipschitz-regularized models, spline-based optimization, and inverse problems. Advising Experience: Supervised 11+ students across master's theses, summer internships, and semester projects, including Eliana Renzo, Joaquim Campos, and Haojun Zhu. Email: shayan.aziznejad@gmail.com

• Work Sociology
• Gender Studies
• Social Inequalities
• +۵ مورد دیگر

Dr. phil. habil. Alexandra Manske serves as an Acting Professor of Sociology at the University of Duisburg-Essen within the Faculty of Social Sciences, where she leads research and teaching activities at the Institute of Sociology. Her academic profile centers on work sociology, gender studies, and social inequalities, with particular expertise in cultural and creative industries. Her research interests include: Work sociology and transformations in labor relations Gender studies and inequalities in workplace structures Social inequalities and precarious work conditions Cultural and creative industries Contemporary work cultures and organizational practices Digital transformation's impact on labor Professor Manske's scholarly output reveals a consistent analytical focus on the paradoxes of creative labor, where glamour and precarity coexist. Her work examines how emotional labor functions as organizational currency in design agencies, power dynamics in theater production, and gendered impacts of pandemic conditions on cultural workers. She investigates tensions between traditional work structures and digital transformation, particularly how hybrid work models affect creative professionals. Her research demonstrates how seemingly progressive creative industries often perpetuate traditional gender hierarchies despite apparent flexibility. Her significant research projects include the DFG Network 'Artistic-Creative Employment' (2017-2023), the current 'Self-employment and Retirement Provision' study (2024-2026), and the 2023 analysis of 'Funding architecture for the independent performing arts in Hamburg.' Professor Manske has received invitations to speak at major academic and cultural events including the Sociology Congress 2025, Westphalian Cultural Conference, and Digital Arts Zurich. Her scholarly contributions extend beyond academia through media engagement, including an interview featured in the July 2025 Soziopolis newsletter discussing changing work cultures, creative labor paradoxes, and industrial society revival. Her ability to bridge theoretical sociology with contemporary social challenges demonstrates her commitment to relevant academic work.

Monika Rosińskaمشاهده پروفایل

استادیار

• Sociology of Design
• Non-anthropocentric Design
• Science and Technology Studies
• +۷ مورد دیگر

Monika Rosińska is an Assistant Professor at SWPS University's Faculty of Design in Warsaw, where she serves as Head of the Department of Design Theory and Research and as Dean's Representative for Interdisciplinarity. She is affiliated with both the Institute of Social Sciences and the Design Institute within the university. Her research focuses on the socio-cultural dimensions of design practices, with particular expertise in non-anthropocentric design, science and technology studies (STS), and critical/speculative design approaches. She investigates the history of design within political, social and cultural contexts, and examines the sociology of objects in everyday life. Dr. Rosińska explores why the creative process extends beyond form and function, pursues definitions of "good design," and investigates what matters to contemporary designers. Her scholarly work reveals consistent themes across publications, with recent research increasingly focused on multi-species communities and non-anthropocentric approaches to design. Her 2019 paper "Zoepolis: Non-anthropocentric design as an experiment in multi-species care" represents a significant contribution to this emerging field, building on earlier work exploring urban revitalization and participatory design. Dr. Rosińska has curated exhibitions including "Zoepolis. Design for Plants and Animals," which serves as both research output and practical exploration of her theoretical frameworks. Her publications span from foundational works on collective behaviors ("Deindywiduacja. Socjologia zachowań zbiorowych") to cutting-edge explorations of AI in visual arts (2025). She actively contributes to academic discourse through platforms including Google Scholar, ResearchGate, Academia.edu, and ORCID, maintaining visibility across multiple scholarly networks. Her work bridges sociology and design in innovative ways that challenge traditional disciplinary boundaries.

Andrea Del Preteمشاهده پروفایل

دانشیار

• Robot Control
• Reinforcement Learning
• Trajectory Optimization
• +۷ مورد دیگر

Andrea Del Prete is an Associate Professor in the Industrial Engineering Department at the University of Trento (Italy) since 2022. His research focuses on robot control, reinforcement learning, trajectory optimization, and numerical algorithms for dynamic systems. He leads the Interdepartmental Robotics Lab (IDRA) and has previously held roles as a tenure-track assistant professor at the University of Trento (2019-2021), a research scientist at the Max-Planck Institute for Intelligent Systems (2018), and an associated researcher at LAAS-CNRS (2014-2017) working with the HRP-2 humanoid robot. Earlier, he conducted PhD and post-doc research at the Italian Institute of Technology (2010-2013) on iCub robot control. PhD in Robotics (2013) - Italian Institute of Technology MEng in Computer Engineering (2009) - University of Bologna BSc in Computer Engineering (2006) - University of Bologna Dr. Del Prete specializes in merging learning and model-based techniques for safe robot control, particularly in legged systems. His work bridges trajectory optimization (TO) with reinforcement learning (RL) to overcome local minima challenges (CACTO/CACTO-SL algorithms) and develops robust controllers for humanoid and quadrupedal robots in unstructured environments. He explores viability kernels in MPC, safety certificates, and bi-level optimization for co-designing hardware/control policies. Key application areas include mountain rescue robotics (ALPINE platform), aerial maneuver recovery, and energy-efficient legged locomotion. His recent publications (2023-2025) emphasize numerical optimization algorithms, multi-contact locomotion, and hybrid control frameworks. Topics span from analytical integral optimization (2025) to climbing robots for mountain operations (2025), demonstrating a trajectory from theoretical algorithm development to real-world robotic applications. Research keywords include robotics, numerical optimization, and machine learning, with sub-fields like MPC for dynamic systems, humanoid control, and terrain adaptation. As an educator, he teaches advanced courses on: Optimization and Learning for Robot Control (48-hour master's course) Optimization-based Control of Legged Robots (12-hour PhD course) Task-Space Inverse Dynamics (3-hour PhD course) Current PhD advisees include Mohammad Hasan Yeganegi (generalization bounds for imitation learning), Pietro Noah Crestaz (numerically-efficient RL), Veronica Campana (ergodic control for defect detection), Elisa Alboni (data-efficient model-based RL), and Gianni Lunardi (MPC for legged locomotion).

Marie-Florence THOMASمشاهده پروفایل

استاد

• Water and Climate Change
• Water Quality Measurement
• Urban Water Management
• +۳ مورد دیگر

Marie-Florence THOMAS is a Professor at the School of Public Health, affiliated with the LERES Laboratory for Study and Research in Environment and Health, UMR 1085 IRSET, and the Observatory of the Environment and Sustainable Development. She holds a Doctorate in Process Engineering, a Master’s in Air and Water, and a DEA in Hydrology. Education Doctorate in Process Engineering Masters in Air and Water DEA in Hydrology Her research focuses on water and climate change , water quality measurement , urban water systems , and water risk management . She employs a multidisciplinary approach integrating environmental sciences, public health, and policy analysis. Recent projects include PHARE (HAloacetic acid production under climate change), URB-Bain (urban swimming and climate change), Aladins (climate vulnerability modeling in Brittany), and Expo-Eau (exposure to disinfection by-products). Her scientific expertise spans water quality monitoring, microbial contamination, and health determinants in urban environments. She serves on the Creseb Scientific Committee, the ANR’s Environmental Technologies Evaluation Committee, and the EHESP Board of Directors. Her work emphasizes interdisciplinary collaboration and decision-support tools for climate resilience. She teaches in academic, professional, and continuing education programs, including modules for Health Studies Engineers, the Master’s in Water Sciences, and the Master’s in Public Health. Her pedagogical approach integrates water quality, risk control, and sustainable urban practices.

Paula Schneiderمشاهده پروفایل

عضو هیئت علمی

• Bookbinding
• Book Art
• Narrative Literature
• +۴ مورد دیگر

Paula Schneider serves as Teacher for Special Tasks at the University of Art and Design Offenbach am Main , heading their book and paper workshop since 2020. She studied Book Art at Burg Giebichenstein Halle (2013-2019) and previously taught at Bezalel Academy (2017-2020). Her work bridges bookbinding , literary experimentation , and archival research through installations, artist books, and public interventions. Education : 2019: Diploma in Book Art, Burg Giebichenstein University of Halle Teaching : 2020–present: Lecturer for special tasks at HfG Offenbach 2017–2020: Annual courses at Bezalel Academy for Arts and Design, Jerusalem Screen printing tutor during studies Her artistic research explores narrative structures , time perception , and memory systems through works like Inner Monologue (2018) and Mio Mnemotop (2021). Recent projects include Night Frost (2024) examining textual accumulation and Cloudburst Working on the Textberg (2024) using mining metaphors for textual analysis. She examines book formats (e.g., leporello, monotypes, screen printing) to interrogate knowledge preservation (Rabaraababaraba, 2015) and urban observation (Praise of the Gate, 2023). Notable exhibitions include Because We Are Young (2021) analyzing GDR industrial history and Between (2019) at Halle/Leipzig Airport, which required mobile audience engagement with audio pieces about airport soundscapes. Her works have been featured in Text3 and Spin n errei tours. Contact: schneider@hfg-offenbach.de | Workshop: +49 69.80059-245 | Office: +49 69.80059-106

• Quantum Field Theory
• Particle Physics
• Chiral Perturbation Theory
• +۴ مورد دیگر

Jiří Novotný is a Professor at the Faculty of Mathematics and Physics of Charles University in Prague, Czech Republic. He is affiliated with the Institute of Particle and Nuclear Physics , where his research focuses on theoretical particle physics, quantum field theory, and low-energy QCD phenomena. He is actively involved in teaching and research, with a strong publication record in high-impact journals. Research Interests Prof. Novotný's research spans a wide range of topics in theoretical physics, with a particular emphasis on: Quantum Field Theory : Anomalies, effective Lagrangians, and chiral perturbation theory. Low-Energy QCD : Chiral symmetry breaking, order parameters, and meson decays. Scattering Amplitudes : Soft theorems, celestial holography, and modern amplitude techniques. Effective Field Theories : Galileon theories, DBI actions, and their generalizations. Publications and Research Impact His recent work has significantly advanced the understanding of soft theorems in gauge and gravity theories, the structure of scattering amplitudes in chiral perturbation theory, and the application of celestial holography to flat-space physics. His publications often appear in top-tier journals such as Journal of High Energy Physics (JHEP) , Physical Review D , and Physical Review Letters . Teaching and Outreach Prof. Novotný teaches advanced courses in Quantum Field Theory I & II and Selected Parts of Quantum Field Theory . He is also involved in the Physics Olympiad to promote physics education among students.

Rupert Frankمشاهده پروفایل

استاد

• Analysis
• Mathematical Physics
• Spectral Theory
• +۸ مورد دیگر

Rupert Frank is a Professor of Mathematics at the University of Munich (LMU Munich) . He has held academic positions at Caltech (2013–2021) and Princeton University (2009–2013). His research spans Mathematical Physics , Spectral Theory , and Functional Inequalities , with a focus on quantum many-body systems, stability of matter, and nonlocal operators. Research Themes : Analysis of eigenvalues for Schrödinger and Pauli operators with complex potentials Semi-classical spectral asymptotics and effective theories for quantum systems Matrix inequalities and quantum information theory Calculus of variations in models like the liquid drop problem Geometric inequalities and their applications to quantum mechanics Magnetic field effects on spectral properties Recent Publications : 2025: Sharp stability for Sobolev/log-Sobolev inequalities with dimensional dependence 2025: Endpoint Schatten class properties of commutators 2024: Degenerate stability of Caffarelli-Kohn-Nirenberg inequality 2024: Hardy inequalities for large fermionic systems 2023: Review on Scott conjecture for Coulomb systems Scientific Awards : Young Scientist Prize in Mathematical Physics (2009) Grants and Collaborations : Principal Investigator in CRC TRR 352 (2023–) PI in Munich Center for Quantum Science and Technology (2019–) Multiple NSF grants (2009–2020) DFG and DAAD grants Editorial and Conference Leadership : Editorial boards: Communications in Mathematical Physics , Journal in Mathematical Physics , Journal of Spectral Theory , SIAM Journal on Mathematical Analysis , Springer Lecture Notes Organized conferences/workshops on quantum many-body systems, spectral methods, and functional inequalities (2018–2025)

• Number Theory
• Langlands Correspondence
• Shimura Varieties
• +۴ مورد دیگر

Yoichi Mieda is an Associate Professor at the Graduate School of Mathematical Sciences, University of Tokyo . His research focuses on Number Theory , particularly the Langlands correspondence , Shimura varieties , and Rapoport-Zink spaces . Mathematical Society of Japan His work connects automorphic representations and p-adic reductive groups through the geometry of Shimura varieties . Recent publications emphasize l-adic cohomology of Rapoport-Zink spaces, formal degree conjectures , and p-adic uniformization of algebraic varieties. Key collaborations include research with Naoki Imai on potentially good reduction loci of Shimura varieties and Tetsushi Ito on Lubin-Tate spaces. His contributions have advanced understanding of non-cuspidal cohomology and local Langlands correspondences .

• Functional Analysis
• Operator Theory
• Complex Analysis
• +۲ مورد دیگر

Jani Virtanen is a Professor at the University of Reading, specializing in functional analysis and operator theory. His research focuses on Toeplitz and Hankel operators, Bergman and Fock spaces, and their spectral properties. Affiliation: University of Reading Academic Rank: Professor Research Interests: His work spans operator theory, harmonic analysis, and complex analysis, with applications to mathematical physics and numerical analysis. Key areas include the study of Fredholm properties, Schatten classes, and the Berger-Coburn phenomenon in Fock spaces. Publication Trends: Recent publications address generalized Hilbert and Toeplitz operators on Bergman spaces (2025), Volterra-type inner derivations on Hardy spaces (2025), and essential positivity (2023). He frequently explores connections between operator theory and mathematical physics, including entanglement entropy in free fermion chains (2020). Collaborations: He collaborates with experts like Hu Z., Taskinen J., and Chandler-Wilde S. N., contributing to advancements in spectral theory and boundary integral equations.

Ajay Vikram Singhمشاهده پروفایل

دانشیار

• Combustion and Reacting flows
• Experimental Combustion and Fluid Dynamics
• Computational Fluid Dynamics
• +۱۹ مورد دیگر

Dr. Ajay V. Singh is an Associate Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur, India. He leads the Combustion and Propulsion Laboratory and has established himself as a leading researcher in combustion science and propulsion technology in India. His work on detonation physics has positioned IIT Kanpur at the forefront of this field with the unveiling of "India's First Detonation Tube Research Facility". Dr. Singh's educational background includes: PhD in Mechanical Engineering from University of Maryland, College Park (2015) M.Tech in Aerospace Engineering from Indian Institute of Technology Kanpur (2008) B.Tech in Mechanical Engineering from U.P. Technical University, Lucknow (2006) His research spans fundamental and applied aspects of combustion science with particular focus on high-speed propulsion systems, detonation cycle engines, gas turbine combustion, soot formation and oxidation, flame-synthesized functional nanoparticles, and fire dynamics. His innovative work bridges theoretical understanding with practical applications in aerospace propulsion, energy systems, and fire safety engineering. The media has widely covered his research, with features in India Today, Times of India, Hindustan Times, and Republic Bharat. Dr. Singh's publication record shows a clear trend toward increasingly sophisticated detonation research and fire dynamics studies, with recent work focusing on turbulent wind-driven flames, detonation inhibition mechanisms, and alternative fuel combustion. His articles consistently address challenges in high-speed propulsion and fire safety, demonstrating both theoretical depth and practical relevance. His scientific contributions have been recognized with numerous prestigious awards including the Distinguished Paper Award from the Combustion Institute (the only faculty member in India to receive this honor), a nomination for the Silver Combustion Medal, multiple Best Paper Awards, and the Exemplary Performance in Teaching Award. As an educator and mentor, Dr. Singh has guided numerous PhD and Master's students through their research. His Combustion and Propulsion Laboratory is supported by multiple research grants from agencies including ISRO, ARDB, SERB, and ANRF. He has developed specialized courses including "Explosion and Detonation Physics," which is the first of its kind at IIT Kanpur. Dr. Singh's laboratory serves as a hub for cutting-edge research in combustion science, featuring India's first Detonation Tube Research Facility and advanced experimental setups for studying flame dynamics, soot formation, and detonation physics. His international collaborations include institutions such as Stanford University, University of Maryland, Peking University, and Beijing Institute of Technology.

• Linguistics
• Dialogue Semantics
• Pragmatics
• +۴ مورد دیگر

Jonathan Ginzburg is a Researcher in the Department of Linguistics at Université Paris Diderot, affiliated with the CLILLAC-ARP research group. His work bridges linguistics, cognitive science, and computational models, focusing on dialogue semantics, pragmatic functions, and developmental language acquisition. Education details are not explicitly provided in the text, but his research spans formal semantics, syntax, and multimodal interaction. His studies on laughter dynamics and infant communicative behaviors have advanced understanding of pragmatic functions in early development. Key research interests include dialogue structure, question-response systems, and the integration of cognitive science with linguistic theory. Recent work explores neural correlates of language processing through type-theoretical semantics and corpus-based methodologies. He has pioneered the analysis of non-sentential utterances and their role in social interaction. His contributions to dialogue systems design for low-resource languages and the DUEL corpus (analyzing disfluencies, exclamations, and laughter) reflect his interdisciplinary approach. Current projects investigate laughter's pragmatic functions across developmental stages and cross-linguistic variations in exclamatory constructions. Laboratory affiliations include the CLILLAC-ARP laboratory, where he develops computational tools for analyzing dialogue semantics and cognitive interactions. His work on 'response spaces' for questions integrates machine learning and formal pragmatics to model conversational coherence.