جست‌وجوی استاد و پژوهشگر

Julia Changمشاهده پروفایل

دانشیار

• Modern and Contemporary Iberian Literature and Culture
• Feminist and Queer Theory
• Disability Studies
• +۳ مورد دیگر

Julia Chang is an Associate Professor of Hispanic Studies at Cornell University's College of Arts and Sciences, with affiliations in Feminist, Gender, and Sexuality Studies and the Southeast Asia Program. Her interdisciplinary work bridges Spanish literature, feminist theory, and Philippine studies. PhD in Hispanic Language and Literatures with a Designated Emphasis in Women, Gender, and Sexuality Studies (University of California, Berkeley) Previously taught at Brown University and San Quentin State Prison Research spans 19th-century Spanish realist novels , Philippine colonial literature , and contemporary Spanish visual arts , emphasizing race, disability, gender, and queer theory . Her 2022 book Blood Novels examines racial hierarchies in Spanish realism, while recent publications explore game studies, anti-racism, and decolonial frameworks. In 2024, her work on realism and race in the Hispanic Empire continues this trajectory. Awards include the 'Harriet S. Turner Beca' for scholarship and the Stephen and Margery Russell Distinguished Teaching Award (2021). She contributes to collective projects like the CIVIC Research Collaborative ('Interactive Media and Games') and the TRECE research group on race and ethnicity in Spain.

• Speech Communication Technology
• Speech Signal Processing
• Machine Learning Applications in Speech Analysis
• +۳ مورد دیگر

Paavo Alku is a Professor of Speech Communication Technology at Aalto University's Department of Information and Communications Engineering. With academic credentials from Helsinki University of Technology (M.Sc. 1986, Lic.Tech. 1988, Dr.Sc.Tech. 1992), he has held academic positions at Asian Institute of Technology (1993) and University of Turku (1994-1999). Current research focuses on speech production analysis, parametric speech synthesis, and speech-based biomarkers for health monitoring Actively develops machine learning models for voice disorder detection and Parkinson's disease classification Principal investigator for projects including SymptoSonic (2024-2025) and HEART (2020-2024) His recent publications emphasize: Wavelet scattering for neurological speech analysis Fisher vector representations in voice disorder classification Machine learning approaches to vocal intensity categorization Respiratory aerosol emission during speech production Formant tracking through hybrid neural network/LP methods Awarded: IEEE Fellow (2020) Academy Professor (2015-2019) Multiple best student paper awards at ICASSP and Interspeech

Jan Draismaمشاهده پروفایل

استاد

• Algebraic Geometry
• Combinatorics
• Algebraic Statistics
• +۸ مورد دیگر

Jan Draisma is a full professor of Mathematics at the University of Bern and a part-time full professor of Applied Algebra and Geometry at Eindhoven University of Technology (TU/e), where he is affiliated with the Department of Mathematics and Computer Science, specifically in Discrete Algebra and Geometry and Coding Theory and Cryptology. He obtained his Master's and Ph.D. degrees from TU/e cum laude and held a postdoctoral position at the University of Basel (2002–2005). He returned to TU/e as an assistant professor, later advancing to associate professor (2011–2016), and served as a part-time full professor at VU Amsterdam (2015–2016). His research focuses on the interplay between combinatorics, statistics, and algebraic geometry. Key areas include tropical geometry, algebraic statistics, symmetric systems of polynomial equations in infinitely many variables, and representation stability. His work often explores the structure of infinite-dimensional algebraic objects and their finite approximations. The most recent publications highlight trends in polynomial functors, topological Noetherianity, amoebas of linear spaces, and the geometry of tensor representations. These works reflect a deep integration of algebraic geometry with combinatorics and category theory, emphasizing stabilization phenomena and symmetry in algebraic structures. NWO Vici Award: Stabilisation in Algebra and Geometry (2015) NWO Vidi Award: Finite thanks to symmetry (2010) Draisma has received significant research funding, including the NWO Vidi and Vici grants, and two NWO Free Competition grants (2008, 2012). He has supervised 16 students and is actively involved in the academic community as an associate editor for Experimental Mathematics, SIAM Journal on Applied Algebra and Geometry, and Linear and Multilinear Algebra. He has held leadership roles in major conferences such as MEGA 2015 and SIAM AG 19. He is affiliated with the research groups in Discrete Algebra and Geometry and Coding Theory and Cryptology at TU/e and leads research activities centered on algebraic methods in discrete mathematics and statistics.

Alex Scottمشاهده پروفایل

استاد

• Combinatorics
• Graph Theory
• Probability

Alex Scott is a Professor of Mathematics at the Mathematical Institute, University of Oxford, with active research contributions evidenced by publications through 2025. His work is centered within the university's Mathematical Institute, a key hub for theoretical mathematics research. Scott's research specializes in combinatorics, particularly graph theory and probabilistic methods. His investigations span structural graph theory, extremal combinatorics, and random graph models, addressing fundamental questions about graph minors, forbidden substructures, and combinatorial optimization. This focus reflects deep engagement with discrete mathematical structures and their theoretical applications. Analysis of his publication timeline (2014-2025) reveals consistent contributions to graph theory, with recent work emphasizing subdivisions, stable sets, and graph reconstruction algorithms. Earlier research examined Erdős-Hajnal properties, deviations in random graphs, and dimensional properties of posets, demonstrating both depth and evolution in his scholarly focus. No scientific awards were documented in the source material. The available information does not specify any advised students or research grants, though his extensive publication record suggests significant collaborative research activity. Scott is affiliated with the Combinatorics research group at Oxford's Mathematical Institute, contributing to one of the world's leading centers for discrete mathematics research through theoretical investigations and academic collaboration.

Samuel Herrmannمشاهده پروفایل

استاد

• Stochastic Processes
• Probability Theory
• Applied Mathematics
• +۴ مورد دیگر

Samuel Herrmann is a Professor of Applied Mathematics at the University of Burgundy, France. He is a member of the Statistics, Probability, Optimization and Control team and an external member of the TOSCA project team at INRIA. His research focuses on stochastic processes, particularly asymptotic analysis of non-linear stochastic processes, large deviations, and stochastic resonance phenomena, with applications in climatology, biology, and financial modeling. Education: PhD in Mathematics (2001) - University of Burgundy Habilitation (2009) - Asymptotic analysis related to stochastic processes Research Interests: Stochastic differential equations and their numerical simulation Large deviation phenomena in stochastic processes Self-stabilizing diffusions and stochastic resonance First-passage and exit time problems for diffusions Applications in climatology, biology, and finance Scientific Contributions: Professor Herrmann has published extensively on stochastic processes, with over 50 peer-reviewed articles and a monograph on stochastic resonance. His work includes exact simulation methods for diffusion processes, studies on self-stabilizing systems, and theoretical contributions to large deviations theory. He has collaborated with leading researchers such as Peter Imkeller and David Peithmann. Awards and Recognition: Contributed to the encyclopedia of mathematical physics Co-authored the book "Stochastic Resonance: A Mathematical Approach in the Small Noise Limit" (2014) Teaching and Supervision: He teaches courses on stochastic processes and their simulation at both undergraduate and master's levels, including the Master in Turin program. He has supervised numerous PhD and master's students in stochastic processes and related fields.

Matthew K. Tamمشاهده پروفایل

دانشیار

• continuous optimisation and its applications
• monotone operator theory
• variational and convex analysis
• +۳ مورد دیگر

Matthew K. Tam is an Associate Professor at the School of Mathematics and Statistics, The University of Melbourne, specializing in Operations Research. He is also an investigator at the Melbourne Centre for Data Science and an associate investigator in the ARC Training Centre OPTIMA. PhD in Mathematics (2016) from University of Newcastle under Jonathan Borwein Postdoctoral research at University of Göttingen with RTG-2088 and Alexander von Humboldt Foundation Junior Professor at University of Göttingen (2017-2020) His research focuses on continuous optimization, monotone operator theory, and variational analysis, with applications in wavelet construction and inverse problems. Key trends include distributed algorithms, resolvent splitting, and convergence analysis for feasibility problems. Discovery Early Career Researcher Award (DECRA) Alexander von Humboldt Fellowship He collaborates with institutions like ANZIAM, Springer, and IEEE, with publications spanning mathematical optimization, harmonic analysis, and computational mathematics. His work emphasizes algorithmic design for complex data systems and real-world applications in imaging and industrial modeling.

Louis Esserمشاهده پروفایل

مدرس

• Algebraic Geometry
• Equivariant Birational Geometry
• Optimization in Algebraic Geometry

Louis Esser is an instructor in mathematics at Princeton University. He received his PhD from UCLA in 2023 under the supervision of Burt Totaro. Esser co-organizes the Princeton Algebraic Geometry Seminar and the Princeton Algebraic Geometry Preprint Seminar. His research focuses on algebraic geometry, specifically equivariant birational geometry and optimization problems. Esser teaches undergraduate mathematics courses including Algebra I (MAT345), Honors Linear Algebra (MAT217), Multivariable Calculus (MAT201), and Linear Algebra with Applications (MAT202). His publications primarily explore birational geometry, Fano varieties, hypersurfaces, automorphism groups, and singularities. Recent work shows strong emphasis on classification problems in algebraic geometry, minimal model program applications, and geometric structures with group symmetries. Collaborative projects frequently involve topics at the intersection of algebraic geometry, topology, and invariant theory.

Ue-Li Penمشاهده پروفایل

استاد

• Theoretical Astrophysics
• Cosmology
• Radio Astronomy
• +۷ مورد دیگر

Ue-Li Pen is a Professor at the Canadian Institute for Theoretical Astrophysics (CITA), which is part of the Faculty of Arts & Science at the University of Toronto. His research focuses on theoretical astrophysics where basic physical effects can be isolated from astronomical complexities. His research interests include n-body and hydro simulations, origin of galaxy spin, dark energy studies through 21cm cosmology, baryon acoustic oscillations (BAO), absorber acceleration, and research on Fast Radio Bursts (FRBs) and pulsars related to gravitational waves, wave optics, and lensing. Current projects involve the non-linear dynamics of the cosmic neutrino background, 21cm intensity mapping, pulsar VLBI scintillometry, and the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Analysis of recent publications shows Pen's work spans multiple cutting-edge areas in astrophysics, particularly focused on radio astronomy techniques, gravitational wave detection methods, black hole imaging, and cosmological measurements using 21cm radiation. His research often involves innovative applications of wave optics and interferometry to solve astrophysical problems. Professor Pen maintains an active research program with numerous recent publications in top astrophysics journals, demonstrating his continued leadership in the field of theoretical astrophysics and cosmology.

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

Fnu Suyaمشاهده پروفایل

استادیار

• Machine Learning for Security
• Trustworthy Machine Learning
• Adversarial Machine Learning
• +۶ مورد دیگر

Fnu Suya is a tenure-track Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. Prior to this, he served as an MC2 Postdoctoral Fellow at the University of Maryland, College Park (Oct 2023–Jul 2024), and completed his Ph.D. in Computer Science at the University of Virginia under Professors David Evans and Yuan Tian.

• Work stress
• Motivation
• Performance
• +۸ مورد دیگر

Maria Peeters is an Associate Professor at Utrecht University's Faculty of Social and Behavioural Sciences, Department of Social, Health and Organisational Psychology. Since 2017, she has also held a part-time full Professor position at Eindhoven University of Technology. Her research focuses on sustainable employee performance in changing work environments, with particular attention to technological innovations and workplace diversity. She has published extensively on work psychology topics, with over 178 research outputs spanning her career. Dr. Peeters' research interests center around work-related well-being, motivation, performance, engagement, job crafting, work-life balance, implementation of technological innovations, and the 'three M's' (Menstruation, Motherhood, and Menopause). Her work examines how these factors influence employee motivation and performance in contemporary organizations. She has made significant contributions to understanding how human-centered work design is crucial for successful technological implementations. Her recent publications demonstrate a clear trend toward examining the intersection of technological change and employee well-being, with increasing attention to gender-specific issues in the workplace. The research shows a progression from traditional work stress studies toward more nuanced examinations of sustainable performance in digital work environments, with growing emphasis on how biological factors affect women's work experiences. Maria Peeters has contributed significantly to the field through her publications, including the second edition of 'An Introduction to Contemporary Work Psychology' (2024) which serves as a key textbook for advanced undergraduate and graduate students. Her research spans multiple domains including occupational health psychology, work-family interactions, and the impact of technological innovations on work quality. Throughout her career, Professor Peeters has maintained active collaborations with researchers across Europe and internationally, contributing to numerous multi-country studies on work psychology topics. Her research has practical applications for organizations seeking to implement sustainable work practices and improve employee well-being in rapidly changing work environments.

• Thermophysical Properties
• Kinetic Properties of Soft Condensed-Phase Systems
• Bubble Nucleation
• +۵ مورد دیگر

David S. Corti is the Interim Jay and Cynthia Ihlenfeld Head of the Davidson School of Chemical Engineering at Purdue University, where he also serves as a Professor of Chemical Engineering and Director of Undergraduate Studies. His research focuses on thermophysical and kinetic properties of soft condensed-phase systems, including metastable liquids and colloidal dispersions. He employs theoretical and simulation techniques to study phenomena such as bubble nucleation and entropic force fields in colloidal systems. Corti holds a B.S. from the University of Pennsylvania (1991), an M.A. from Princeton University (1993), and a Ph.D. from Princeton (1997). His scientific contributions include advancements in understanding metastable liquid behavior, colloidal stability, and Hamaker constant estimation via atomic force microscopy. Notable honors include the NSF CAREER Award (2002), the 'Teaching for Tomorrow' Award (2002-2003), and University Faculty Scholar designation (2011-2016). Corti collaborates extensively, notably with Prof. Elias I. Franses on dispersion stability projects. His advising includes graduate student Betty Yung-Jih Yang. Research themes span bubble nucleation mechanisms, entropic control of colloids, and surfactant effects on nanoparticle stability. Corti's work bridges fundamental theory with industrial applications, addressing challenges in materials science and chemical engineering.

• Distributed control
• Autonomy and Control
• Aerospace Systems
• +۶ مورد دیگر

Dengfeng Sun is a Professor and Associate Head of the Gambaro Graduate Program in the School of Aeronautics and Astronautics at Purdue University. His research focuses on distributed control systems, autonomy, resilient networks, and air traffic management. Sun holds a B.Eng. from Tsinghua University, an M.S. from The Ohio State University, and a Ph.D. from UC Berkeley. His work spans advanced air mobility, UAV trajectory planning, and stochastic optimization for large-scale systems. Key contributions include resilient UAV traffic control, distributed state estimation algorithms, and fault detection methods for navigation systems. Sun's research has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part E. Education: B.Eng., Tsinghua University (2000) M.S., Ohio State University (2002) Ph.D., UC Berkeley (2008) He advises on cutting-edge projects integrating robotics, autonomous systems, and cloud-based traffic modeling. His lab develops solutions for urban air mobility, emergency medical UAV networks, and next-generation air traffic control systems. Notable collaborations include work with NASA and industry partners on continuous descent approach procedures and metroplex routing paradigms. Sun's work bridges theoretical control systems with practical applications in aviation and infrastructure optimization.

• Networking and Operating Systems
• Information Security and Assurance
• Network Architecture and Protocols
• +۳ مورد دیگر

Sonia A. Fahmy is a Professor of Computer Science and Associate Department Head at Purdue University's Department of Computer Science (College of Science). She holds a PhD from The Ohio State University (1999). Her research focuses on network architectures, protocols, and security, with over 100 refereed publications. Key areas include virtual reality networking, cellular network optimization, and network experimentation tools like NFV-VITAL and ENVI. Her work is supported by NSF, DHS, industry partners, and she leads Purdue's CERIAS cybersecurity initiatives. Education: PhD in Computer and Information Science from The Ohio State University (1999). Research Interests: Network security, distributed systems, wireless sensor networks, and network function virtualization. Notable contributions include the HEED clustering algorithm and Contain-ed latency management system. Awards: NSF CAREER Award (2003), IEEE Fellow. Grants: NSF, DHS, AT&T, Cisco, Juniper, and Meta-funded projects. Professional service includes leadership roles in IEEE ICNP, INFOCOM, and editorial roles in top journals. Advising: Mentored over 20 PhD students and postdocs. Current advisees include Umakant Kulkarni and Yufeng Chen. Research teams collaborate with industry partners like Hewlett-Packard and Sandia National Labs. Labs/Teams: Active in Purdue's CERIAS, leading projects on secure network protocols and experimentation frameworks. Tools developed include EMIST, Testbed Mapping, and iHEED for sensor networks.

Tristram Wolffمشاهده پروفایل

دانشیار

• Multilingual & Comparative Literatures
• Critical Theory
• 18th-century & Romantic Literature
• +۴ مورد دیگر

Tristram Wolff is an Associate Professor of English at Northwestern University, affiliated with the Programs in Comparative Literary Studies and Environmental Policy & Culture. He holds a PhD in Comparative Literature from the University of California, Berkeley. His research interrogates intersections of language, time, and nature in transatlantic Romanticism, challenging colonialist and racialized frameworks in literary and linguistic historiography. His first monograph Against the Uprooted Word (2022) re-examines linguistic theories of the Romantic era to contest Enlightenment-era primitivism, while his second book project explores affect theory through Romantic-era critical writing. Wolff teaches courses on William Blake, transatlantic Romanticism, environmental humanities, and literary engagements with geology and extractivism. He co-edited a 2021 special issue of Romantic Circles Praxis Series on public feeling and has published widely in journals like PMLA and English Literary History . His scholarship bridges literary criticism, critical theory, and interdisciplinary environmental studies, emphasizing reparative readings that reimagine social forms through language's material and temporal dimensions.