جست‌وجوی استاد و پژوهشگر

Michał Woźniakمشاهده پروفایل

استاد

• machine learning
• pattern recognition
• classifier ensemble
• +۱۲ مورد دیگر

Michał Woźniak is a Professor at the Department of Systems and Computer Networks, Wrocław University of Science and Technology. He serves as Head of the Department and leads the Machine Learning Research Team. His research spans machine learning, pattern recognition, data stream mining, and imbalanced data classification. He actively supervises MSc theses and leads multiple research projects including those on continual learning, classifier ensembles, and fake news detection. Research Interests: Machine learning, particularly inductive and continual learning Pattern recognition and classifier ensembles Data stream mining under concept drift Imbalanced data classification Fake news and disinformation detection Cybersecurity and medical decision support His recent publications (2024–2025) focus on continual learning under concept drift, deep learning for image fusion and forgery detection, ensemble methods for imbalanced data, and AI applications in network optimization. These works reflect strong trends in adaptive machine learning, robust classification, and real-world AI deployment. Scientific Awards: BEST PAPER AWARD FOR CLVISION CVPR WORKSHOP 2024 He supervises numerous students and collaborates extensively on interdisciplinary projects. He has been involved in projects such as LM LDS (2021–2024), MOO (2020–2025), IDStream (2018–2022), and others. He is also a project manager and active in academic service, including membership in the Committee on Informatics of the Polish Academy of Sciences. His research group maintains a strong presence in AI and machine learning applications. Laboratory and Teams: He leads the Machine Learning Team and is involved in multiple research groups including the Advanced Data Analysis Methods Team and Metaheuristics Team . His lab focuses on developing robust, adaptive AI models for real-world challenges.

R. Inanc Baykurمشاهده پروفایل

استاد

• Low-dimensional Topology
• Smooth 4-manifolds
• Symplectic Geometry
• +۷ مورد دیگر

R. Inanc Baykur is a Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. He has been a faculty member since 2013, advancing from Assistant Professor (2013–2017) to Associate Professor (2017–2022), and to Full Professor in 2022. His research lies at the intersection of low-dimensional topology and geometry, with a primary focus on smooth 4-manifolds, symplectic and contact structures, and Lefschetz fibrations. Baykur earned his Ph.D. in Mathematics from Michigan State University in 2007 under the supervision of Ronald Fintushel. He held postdoctoral and research positions at Columbia University, Brandeis University, and the Max Planck Institute for Mathematics in Bonn before joining UMass Amherst. He has also been affiliated with prestigious institutions such as the Mathematical Sciences Research Institute (MSRI), the Institute for Advanced Study (IAS), and the Institut des Hautes Études Scientifiques (IHÉS). His research interests include: Smooth and symplectic 4-manifolds Exotic smooth structures Mapping class groups and their factorizations Broken and simplified Lefschetz fibrations Trisections of 4-manifolds Contact and Stein fillings Baykur's recent publications reveal a strong trend in constructing explicit models of Lefschetz fibrations, understanding the geography of symplectic 4-manifolds, and exploring the interplay between algebraic factorizations and smooth topology. His work often combines deep theoretical insights with combinatorial techniques in mapping class groups to produce new families of exotic manifolds and to resolve long-standing conjectures. His scientific awards and grants include multiple National Science Foundation grants (e.g., DMS-2005327, DMS-1510395), Simons Foundation Collaboration Grants, and the UMass Flex Teaching Award, which he has received eleven times consecutively (2014–2024). He has also received research fellowships from IHÉS, Max Planck Institute, and IAS. Baykur is an active mentor and collaborator. He has advised several Ph.D. students, including Andrew Havens and Richard Buckman, and mentored postdoctoral researchers such as Nathan Sunukjian and Jonathan Simone. He has co-organized numerous international conferences and workshops, including events at AIM, ICERM, and in Dubrovnik, focusing on 4-manifolds, symplectic geometry, and low-dimensional topology. He is deeply involved in the mathematical community as a referee for top journals such as Annals of Mathematics , Inventiones Mathematicae , and Journal of Differential Geometry , and as a reviewer for the National Science Foundation.

• Artificial Intelligence
• Machine Learning
• Complex Systems
• +۷ مورد دیگر

Jordi Delgado Pin is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Computer Science (FIB) and the Department of Computer Science. He is an active researcher in the IDEAI-UPC and SOCO (Soft Computing) research groups, contributing extensively to artificial intelligence, machine learning, and complex systems. His research interests include artificial intelligence, machine learning, computational complexity, neural networks, and data science, with applications in biological and social networks. He has made significant contributions to unsupervised learning methods, particularly in contrastive divergence and community detection in complex networks. The analysis of his recent publications reveals a strong focus on machine learning optimization, neural network training, and theoretical foundations of computing. His work spans both theoretical and applied domains, including educational technology and bio-inspired algorithms. Jordi Delgado Pin has participated in multiple competitive R&D+i projects, such as 'Gestió i Anàlisi de Dades Complexes' and 'Mineria en datos biológicos y sociales', demonstrating sustained research activity. He has also contributed to educational initiatives in programming and data science. He is involved in key research laboratories including IDEAI-UPC, SOCO, and LARCA, fostering interdisciplinary collaboration in data science and AI.

Alexandra Amonمشاهده پروفایل

استادیار

• Dark Matter
• Dark Energy
• Cosmology
• +۵ مورد دیگر

Alexandra Amon is an Assistant Professor of Astrophysical Sciences at Princeton University, specializing in cosmology, dark matter, and large-scale structure. She leads the LSST Dark Energy Science Collaboration team analyzing data from the Rubin Observatory's Legacy Survey of Space and Time (LSST), aiming to map 1 billion galaxies to study dark energy and dark matter. Previously, she was a Kavli Fellow at Stanford University and a Senior Kavli Fellow at the Institute of Astronomy, Cambridge. Her research focuses on weak lensing cosmology, galaxy surveys (DES, KiDS, DESI), and baryonic feedback modeling. She earned a First Class undergraduate degree from the University of Edinburgh and a PhD from the same institution under Prof. Heymans, winning the Royal Astronomical Society Thesis Prize. She is passionate about STEM outreach, particularly through her initiative Trinis - We STEM , advocating for Caribbean representation in science. Education: BSc (First Class Honors) from University of Edinburgh; PhD in Astrophysics from University of Edinburgh Key Collaborations: Rubin Observatory LSST, Dark Energy Survey (DES), Kilo-Degree Survey (KiDS), Dark Energy Spectroscopic Instrument (DESI) Labs/Teams: Amon DarkLab, Princeton Astrophysical Sciences Group Awards: Tollestrup Award, Royal Astronomical Society Early Career Award, RAS Thesis Prize Her work addresses cosmic tensions in dark energy parameters and explores innovative methods to reconcile observational data with theoretical models. She advises graduate and undergraduate students on topics ranging from galaxy formation to axion dark matter探测.

Gullu Kızıltaş Şendurمشاهده پروفایل

دانشیار

• Design Optimization
• Material Design and Fabrication
• Computational Mechanics
• +۵ مورد دیگر

Dr. Gullu Kızıltaş Şendur is an Associate Professor in the Mechatronics Engineering Department at Sabancı University's Faculty of Engineering and Natural Sciences in Istanbul, Turkey. She received her B.S. and M.S. degrees in Mechanical Engineering from Middle East Technical University in Ankara, Turkey in 1995 and 1998, respectively, and completed her Ph.D. in Mechanical Engineering at the University of Michigan, Ann Arbor in 2003. Her research spans multiple interdisciplinary fields with a focus on: Design Optimization of mechanical, biomedical and electromagnetic systems Material Design and Fabrication using topology optimization and advanced 3D fabrication techniques Computational Mechanics including advanced micro-material modeling and Finite Element Methods Electromagnetics applications for miniature antennas and RF devices Tissue Engineering for artificial tissues and organs Dr. Kızıltaş Şendur's recent work demonstrates a strong trend toward additive manufacturing, multi-material design, and computational methods for creating functionally graded structures. Her research integrates computational design with experimental validation across mechanical engineering, biomedical applications, and electromagnetic systems. She has developed novel optimization frameworks that bridge multiple disciplines to solve complex engineering problems. Her scientific achievements have been recognized with prestigious awards including: 2008 Graduating Class Teaching Award from Sabancı University 2008 TUBA-GEBIP (Young Scientist Award) from the Turkish Academy of Sciences Dr. Kızıltaş Şendur has successfully advised numerous graduate students through their M.Sc. and Ph.D. programs, with many continuing to academic and research careers at institutions worldwide. She leads the 3D Systems Design and Realization Research Laboratory at Sabancı University's Nanotechnology Research and Application Center (SUNUM), which provides state-of-the-art facilities for multi-disciplinary research. Her laboratory focuses on the modeling and fabrication of multi-functional micro/nanostructures, with applications spanning mechanical engineering, biomedical devices, and electromagnetic systems. The group maintains strong collaborations with international research institutions and industry partners to advance the frontiers of computational design and advanced manufacturing.

Sebastian Springerمشاهده پروفایل

استاد

• Immunology
• Molecular Cell Biology
• Biochemistry
• +۳ مورد دیگر

Professor Sebastian Springer leads the Molecular Mechanisms of the Immune Response and Immuno-Biotechnology Research group at Constructor University Bremen. As a Professor of Biochemistry and Cell Biology in the School of Science since 2001, he investigates intracellular transport regulation of immune system membrane proteins, with a focus on MHC class I molecule dynamics and their role in pathogen detection and cancer immunosurveillance. University of California, Berkeley (Postdoctoral Fellow, 1996-2001) Oxford University (PhD, 1992-1996) Tübingen University (Diplom in Biochemistry, 1985-1992) His research combines laser confocal microscopy with biochemical in vitro assays and biophysical approaches to study MHC class I peptide binding and surface localization. Key findings include demonstrating dynamic retention of empty MHC class I molecules and developing stabilized MHC variants commercialized through the Tetramer Shop (2019-21). Collaborations extend to biophysicists designing micrometer capsules for intracellular delivery. Scientific achievements include the Ernst A.-C.-Lange-Preis, with publications covering MHC stability, peptide exchange mechanisms, and structural immunology. His group's work on micrometric capsule technology has both diagnostic and biotechnological applications.

• Host-pathogen interaction
• Molecular Immunology
• T-cell immunity
• +۳ مورد دیگر

Jaya Kumari Swain serves as an Associate Professor at the Norwegian Fisheries College, UiT The Arctic University of Norway, specializing in fish immunology and vaccinology. She leads research within the Fish Immunology and Vaccinology group, with primary focus on Atlantic salmon health. Her research interests span Host-pathogen interactions , Molecular Immunology , T-cell immunity , Vaccinology , and Novel delivery methods . Key areas include salmon lice control mechanisms, viral pathogenesis in cardiac tissues, and AI-driven diagnostic approaches for aquatic diseases. Recent publications reveal a strong trend toward translational vaccinology (particularly for salmon lice and viral pathogens) and advanced imaging techniques (ultrasound/photoacoustic microscopy). Her work increasingly integrates artificial intelligence with traditional immunology, focusing on functional changes in embryonic hearts post-infection and 3D tissue visualization. No scientific awards are listed in available records. Dr. Swain coordinates multiple research projects including VirtualStain (AI solutions for label-free tissue imaging), DNA Vaccine Development for Salmon Viruses , and Sterilization of Atlantic salmon with Deadend nanomaterials . Her teaching portfolio includes Fish Diseases (BIO-2604), Pathology (BIO-2605), and specialized modules in aquaculture health courses. She actively collaborates within the Fish Immunology and Vaccinology research group, contributing to both fundamental immunology studies and applied aquaculture solutions through projects like Antisense delivery for large-scale sterilization.

Valérie de Lapparentمشاهده پروفایل

پژوهشگر

• Galaxy Evolution
• Large-Scale Structure of the Universe
• Galaxy Morphology
• +۴ مورد دیگر

Valérie de Lapparent is a senior researcher at the Paris Institute of Astrophysics (IAP) , a joint research unit of Sorbonne University and CNRS. Her work focuses on galaxy evolution, large-scale cosmic structure, and data analysis techniques. Education Baccalauréat, Série C (1979) Preparatory Classes, Lycée Louis le Grand (1979-1981) École Normale Supérieure, Physics Section (1981-1985) Licence in Physics, Univ. Paris VI (1982) Master's in Physics, Univ. Paris VI (1982) DEA in Astronomy & Space Techniques, Univ. Paris VII (1983) PhD, Univ. Paris VII (1986) Research Expertise Valérie de Lapparent investigates galaxy evolution, large-scale distribution, morphometry, spectroscopy, and collective properties like luminosity functions. Her methods include optical/infrared observations, redshift measurements, Bayesian inference, and neural networks. Scientific Contributions 1988 CNRS Bronze Medal for discovering the cosmic 'honeycomb' structure Leadership in ESO and CFHT surveys Creation of IAP's 'Origin and Evolution of Galaxies' research group Editorial direction of IAP's website Outreach through public lectures and the 'Harmonia Celestis' educational platform

Kimberley Hillمشاهده پروفایل

دانشیار

• Prevention Science
• Health Psychology
• Social Psychology
• +۷ مورد دیگر

Dr. Kimberley Hill is an Associate Professor and Deputy Head of Psychology at the University of Northampton, UK. A Chartered Psychologist and Senior Fellow of the Higher Education Academy, she holds a National Teaching Fellowship from AdvanceHE and is a Fellow of the British Psychological Society. Her academic journey includes a First Class BSc in Psychology from Oxford Brookes University, an MRes in Psychological Research (with The University of Oxford), and a Psychology PhD funded by a Studentship. Kimberley’s research focuses on prevention science, health psychology, and social behavior change, with a strong emphasis on alcohol misuse, gender-based violence prevention, and mental health promotion. She leads the Health, Education, and Behaviour Change Research Group and has pioneered consent education initiatives across campuses and schools. Her work extends to enhancing STEM participation, mentoring early-career researchers, and advising on policy related to student wellbeing and urban design. She teaches across undergraduate and postgraduate modules, supervises PhD students, and has developed international Psychology programs. Her recent publications investigate alcohol-free social spaces, urban greenspace engagement, and gender perceptions in STEM, reflecting her interdisciplinary approach. Awards include recognition for transformative teaching and research impact, with media appearances on health and education topics. Kimberley chairs the cross-University STEM Steering Group and the Northampton Area Psychology Teachers’ Group, fostering collaboration between institutions. She is actively involved in ethics committees and program validations, ensuring rigorous academic standards.

• Pseudo-differential calculus
• Fourier analysis
• Time-frequency analysis
• +۹ مورد دیگر

Joachim Toft is a Professor in the Department of Mathematics at Linnaeus University (formerly Växjö University), where he has been employed since February 2004. Prior to this position, he served as an assistant professor at Blekinge Institute of Technology in Karlskrona, Sweden. He completed his PhD in mathematics at Lund University in 1997 and was employed as a teaching assistant master at Kristianstad University from 1995 to 1998. Currently, he holds editorial positions for the Journal of Pseudo-Differential Operators and Applications and Annals of Functional Analysis, and serves as a member of the International Society of Analysis, its Applications and Computations (ISAAC). Professor Toft's research primarily focuses on pseudo-differential calculus and related mathematical fields. His work encompasses Fourier analysis, time-frequency analysis, harmonic analysis, basic operator theory, generalized functions (particularly Gelfand-Shilov spaces and Gevrey classes), and micro-local analysis. While these areas form the core of his theoretical work, he also explores applications to wave phenomena, including physics interpretations, non-stationary filters in signal analysis, and geophysics. His research approach emphasizes functional analysis, harmonic analysis, and basic operator theory more frequently than is typical within these specialized fields. The recent publication record demonstrates a strong focus on extending pseudo-differential operator theory to more generalized function spaces, including quasi-Banach spaces, Orlicz spaces, and Pilipović spaces. His work shows a clear progression toward developing more comprehensive frameworks for time-frequency analysis and operator theory, with particular attention to continuity properties, spectral invariance, and characterization of operators in various function spaces. The collaboration network spans multiple international institutions, reflecting the global nature of modern mathematical research. Professor Toft is actively involved in three major research groups at Linnaeus University: the International Center for Mathematical Modeling (ICMM), Scientific Computing and Partial Differential Equations, and Waves, Signals and Systems. His current research project focuses on developing Hörmander-Weyl calculus within the framework of ultra distributions, aiming to create calculi feasible for objects more complex than standard distributions.

Rodney A. Chimnerمشاهده پروفایل

استاد

• Wetland Ecology
• Peatland Restoration
• Ecosystem Carbon Cycling
• +۳ مورد دیگر

Rodney A. Chimner is a Professor at Michigan Technological University in the College of Forest Resources and Environmental Science. His work focuses on wetland and peatland ecosystem science, integrating ecohydrology, carbon cycling, and restoration strategies. He teaches the hands-on Wetlands class (FW4220), emphasizing experiential learning in Michigan's diverse wetland systems. Education: PhD in Ecology from Colorado State University MS in Forest Hydrology from Michigan State University BS in Earth Science from Northern Michigan University AA in Philosophy from Kellogg Community College Dr. Chimner's research explores wetland dynamics under climate change and anthropogenic pressures, with expertise in peatland restoration , carbon cycling , and mountain wetland conservation . His projects span tropical and boreal regions, addressing carbon stock assessments, methane fluxes, and restoration techniques through field experiments and remote sensing. The 15 most recent publications highlight his focus on peatland carbon stocks , hydrological restoration , and climate change impacts . His work spans Peru, Colombia, and the Great Lakes region, employing GIS, soil analysis, and plant-ecosystem interactions to advance wetland conservation science. Dr. Chimner leads international research initiatives like the Peatland Ecology and Restoration Education program in South America , with grants from the National Science Foundation, USDA Forest Service, and the Co-operative Research Programme (OECD). His collaborations include the Ecosystem Science Center and MTU-Society of Wetland Scientists. He directs the Chimner Research Group , which combines field studies, lab experiments, and community engagement to address wetland degradation. Recent projects include developing a Mountain Peatland Restoration Manual and analyzing northern white-cedar regeneration in Michigan.

• Cognitive Psychology
• Sensory Perception
• Visual Perception
• +۵ مورد دیگر

Dr. Michelle To is a Senior Lecturer in the Department of Psychology at Lancaster University's Fylde College. With a strong background in experimental psychology, her academic journey includes a PhD and MPhil from the University of Cambridge, along with dual BSc degrees in Psychology (First Class Honours) and Physiology and Mathematics from McGill University. Dr. To's research focuses on how the sensory system processes complex natural stimuli including photographs, movies, music, and language. Her primary interests encompass natural stimuli perception, feature integration, cross-modal integration, and visual perception in the far and extreme periphery. Her recent work has extensively examined infant visual perception, particularly how infants process visual information at the edges of their visual fields and how they integrate sensory information during early development. Analysis of Dr. To's 15 most recent publications reveals a clear trajectory from fundamental visual perception research toward developmental applications, particularly in infant vision. Her early work established computational models of visual processing, while her more recent publications apply these principles to understand developmental visual capabilities. The research demonstrates consistent methodological rigor, often combining computational modeling with empirical testing using natural stimuli. Dr. To actively contributes to academic training through courses including PSYC214: Statistics, PSYC377: Psychology of Art, and PSYC401: Analysing and Interpreting Psychological Data I, demonstrating her commitment to statistical and methodological education in psychology. Her current research projects include the BabyMotion project (2025-2027) investigating how infants develop the ability to perceive human motion, a project on modeling stress effects on visual perception (2018), and previous involvement in the RCUK-SUP initiative (2013-2016) focused on inspiring the next generation of researchers. Dr. To supervises postgraduate research students and employs advanced methodologies including eye-tracking and functional near-infrared spectroscopy (fNIRS) to investigate the neural basis of visual perception and its development.

Mardale Alexandruمشاهده پروفایل

استاد

• Heritage Languages
• Syntax-Semantics-Discourse Interface
• Differential Object Marking
• +۴ مورد دیگر

Mardale Alexandru is a University Professor at Inalco , affiliated with the Europe Department and the SeDyL research center. His work focuses on the syntax–semantics–discourse interface, particularly in heritage Romanian contexts, differential object marking, and the grammaticalization of prepositions in Romance languages. Research Interests: His expertise spans heritage language acquisition, linguistic expression of displacement, and modality in Romanian. He examines how language contact and reduced input affect syntactic structures, with a strong emphasis on grammaticalization processes and case-preposition interactions. 2024-2023 publications highlight his work on heritage Romanian in France, differential object marking, and clitic doubling. 2022-2003 contributions explore complex prepositions, animacy effects, and diachronic changes in Romanian syntax. Administrative Roles: He serves as Head of Romanian Studies and Educational Manager of the cross-disciplinary Linguistics course (LGE) at Inalco. He holds key positions in institutional governance, including membership in the Scientific Council and Research Commission.

David Hofmannمشاهده پروفایل

استادیار

• terrorism and political violence
• charismatic leadership
• right-wing extremism
• +۲ مورد دیگر

Dr. David Hofmann serves as an Assistant Professor in the Department of Sociology within the Faculty of Arts at the University of New Brunswick (UNB) in Fredericton. He joined UNB in 2016 after previously holding an assistant professor position in sociology/criminology at the State University of New York (SUNY) Polytechnic Institute in Utica, NY. Dr. Hofmann's research spans multiple critical areas within political sociology and criminology, with particular focus on terrorism and political violence, charismatic leadership dynamics, right-wing extremism movements, apocalyptical and millenarian groups, and the structure of criminal & illicit networks. His work combines theoretical frameworks with practical analytical methods to understand complex social phenomena. Currently, Dr. Hofmann leads two significant research projects: one examining the Canadian Freemen-on-the-Land anti-government movement, and another mapping networks of social, operational, and ideological support systems among Canadian lone-actor terrorists using advanced social network analysis techniques. These projects represent important contributions to understanding domestic security threats through sociological lenses. Outside his academic work, Dr. Hofmann is an avid practitioner of Kendo, a Japanese martial art based on sword fighting, and has expressed interest in establishing a Kendo club at UNB to share this practice with students and colleagues. Known for his approachable teaching style, Dr. Hofmann advises new students to actively engage with professors during office hours and class time to maximize their educational experience. His commitment to student development extends beyond the classroom through potential extracurricular activities like the proposed Kendo club.

Mahsa Shoaranمشاهده پروفایل

استادیار

• Neural interfaces
• Neuroprosthetics
• Analog and mixed-signal integrated circuits
• +۵ مورد دیگر

Mahsa Shoaran is a Tenure-Track Assistant Professor at EPFL (École Polytechnique Fédérale de Lausanne) jointly appointed at the Center for Neuroprosthetics and the Institute of Electrical Engineering . She is also the founding director of the Integrated Neurotechnologies Laboratory (INL) and contributes to several doctoral programs and teaching missions across EPFL’s School of Engineering (STI). Education: PhD in Electrical Engineering, EPFL (2015) M.Sc. & B.Sc., Sharif University of Technology Postdoctoral Fellow, California Institute of Technology (Caltech) (2015-2017) Former Assistant Professor, School of Electrical and Computer Engineering, Cornell University (2017-2019) Research Focus: Dr. Shoaran’s work sits at the convergence of integrated circuit design , machine learning , and neuroscience . Her group develops ultra-low-power, miniaturized system-on-chips (SoCs) capable of real-time neural recording , pathology detection , and closed-loop therapeutic intervention such as adaptive neurostimulation. Machine-learning algorithms running on-chip enable precise symptom detection in neurological and psychiatric disorders, while advanced circuit techniques guarantee energy efficiency suitable for long-term implantable or wearable neural interfaces. Scientific Awards & Grants: ERC Starting Grant 2021 Google Faculty Research Award in Machine Learning 2019 Swiss NSF Postdoctoral Fellowships NSF Award for Young Professionals – Smart & Connected Health MIT EECS Rising Star 2015 Doctoral Advising & Service: She currently supervises 14 PhD students in the Integrated Neurotechnologies Laboratory. Additionally, she serves on the PhD program committees for Electrical Engineering (EDEE), Microsystems & Microelectronics (EDMI), and contributes to the Neuro-X and SEL teaching programs. She is a Technical Program Committee member for IEEE CICC and serves on the Student Research Preview committee for ISSCC. Laboratory & Collaborative Teams: The Integrated Neurotechnologies Laboratory (INL) at EPFL Campus Biotech in Geneva hosts her interdisciplinary team of circuit designers, machine-learning researchers, and neuroscientists. The lab collaborates closely with clinicians to translate innovations into real-world neuroprosthetic and diagnostic devices.