جست‌وجوی استاد و پژوهشگر

• Nonlinear Partial Differential Equations
• Mathematics of Liquid Crystals
• Damage and Phase Transitions
• +۳ مورد دیگر

Antonio Segatti is a Researcher in the Department of Mathematics at the University of Pavia, Italy, specializing in nonlinear partial differential equations and mathematical analysis with applications to materials science. His research focuses on liquid crystals, phase transitions, geometric analysis, and gradient flows in metric spaces. He is affiliated with the 'Mathematical Analysis and Applications' research group and contributes to interdisciplinary studies at the intersection of pure and applied mathematics. His work explores topics such as fractional thin-film equations, vortex dynamics in Ginzburg-Landau models, and defect formation in nematic shells. He has published extensively on gradient flows, variational methods, and long-time behavior of solutions to PDEs. Segatti collaborates on applied projects involving chiral magnetic materials and numerical simulations of skyrmion dynamics. He holds a prominent position in the mathematical community, contributing to special journal issues and organizing research initiatives. His research bridges theoretical analysis and real-world phenomena, addressing challenges in material behavior, phase transitions, and geometric evolution equations.

André Schlichtingمشاهده پروفایل

استاد

• Stochastic Processes
• Partial Differential Equations
• Optimal Transport
• +۴ مورد دیگر

André Schlichting is a full professor at the University of Ulm, leading the Institute of Applied Analysis. His research focuses on stochastic processes, partial differential equations (PDEs), and optimal transport, with a particular emphasis on gradient flows, nonlocal dynamics, and mathematical physics. He investigates systems such as stochastic particle models, McKean-Vlasov equations, and metric graphs, often exploring their long-time behavior and discretization techniques. Collaborations include work on diffusive transport distances, porous medium equations, and manifold analysis. His recent contributions address topics like convergence of particle systems to continuous models, gradient flows on graphs with reservoirs, and stationary solutions on high-dimensional spheres. His work bridges theoretical analysis with applications in statistical mechanics and numerical methods. Education and affiliations are not explicitly detailed in the provided texts, but his current role highlights academic leadership in applied analysis. Key collaborations involve researchers such as Daniel Matthes, Eva-Maria Rott, and Jan-Frederik Pietschmann. His research group at the University of Ulm is expanding, focusing on advanced analytical techniques and their implications in interdisciplinary fields.

• Computational Biology
• Genomics
• Quantum Computing
• +۴ مورد دیگر

Jonathan Warrell is an Associate Research Scientist at the Yale School of Medicine, specializing in computational biology and interdisciplinary research at the intersection of quantum computing, machine learning, and biomedical applications. His work focuses on spatial genomics, protein phase separation modeling, and AI-driven drug discovery. Key collaborations include projects with Mark Gerstein (quantum computing), David Rimm (immunotherapy biomarkers), and Alexander Urban (single-cell genomics). Research Interests: Development of quantum machine learning frameworks for drug design Spatially resolved transcriptomics analysis in cancer immunotherapy Graph-theoretical approaches to protein phase separation modeling Evolutionary frameworks for cultural and biological systems Recent Work Trends: His publications (2022-2025) emphasize integration of quantum computing methods with biological data analysis, spatial multi-omics approaches for cancer research, and computational modeling of complex biological systems. Notable projects include the 388-human-brain single-cell genomics study and AI-driven T-cell receptor design for cancer therapy. Advising & Grants: No trainees listed. Active in collaborative grant-funded projects involving Yale's Department of Genetics and Computational Biology Institute, though specific grants are not detailed in the provided text.

Atanu Patraمشاهده پروفایل

پژوهشگر ارشد

• Materials Science
• Condensed Matter Physics
• Nanotechnology
• +۳ مورد دیگر

Dr. Atanu Patra is a Research Fellow at the University of Würzburg's Department of Technical Physics. He specializes in advanced materials research with a focus on nanotechnology, semiconductor heterostructures, and energy materials. His work integrates experimental techniques like strain engineering, microscopy, and spectroscopy to explore novel material properties. Research interests include: Strain-engineered 2D materials (e.g., InSe/MS₂ heterostructures) Magnetic and electronic properties of low-dimensional systems Development of luminescent and electrocatalytic materials for optoelectronics and energy devices His publications (2013–2025) emphasize material characterization techniques and applications in quantum materials, with recent work highlighting strain effects in van der Waals heterostructures and MOF-derived electrocatalysts. No scientific awards are explicitly listed. Dr. Patra collaborates within the Technical Physics team at the University of Würzburg, contributing to projects like the Cluster of Excellence ct.qmat and the Würzburg-Wrocław Nanophotonics Center. His lab focuses on synthesizing and analyzing novel materials for next-generation technologies.

• Treatment-Resistant Depression
• Psilocybin Therapy
• Meta-Analysis
• +۴ مورد دیگر

Lindsey Marwood is a researcher specializing in treatment-resistant depression, psilocybin therapy, and pharmacological interventions. Her work focuses on clinical trials evaluating drug efficacy, cost-effectiveness analyses of psychiatric treatments, and neurobiological mechanisms of mood disorders. She collaborates extensively in multi-institutional studies, contributing to advancements in psychedelic-assisted therapy and antidepressant augmentation strategies. Her research bridges pharmacology, neuroscience, and clinical practice to improve outcomes for major depressive disorder patients. Her key research interests include optimizing treatment protocols through meta-analyses of augmentation therapies, investigating the role of psychedelic experiences in therapeutic outcomes, and developing novel assessment tools like the Fake IQ Test for depression symptomatology. Marwood’s contributions span both randomized controlled trials and observational studies, addressing critical gaps in understanding treatment-resistant depression’s biological and psychological underpinnings. Leading role in the LQD trial comparing lithium vs. quetiapine augmentation Co-developed the Maudsley 3-item Visual Analogue Scale for depression monitoring Active in psilocybin research through COMP360 clinical trials Her articles emphasize translational research, linking neuroimaging findings with clinical outcomes while addressing real-world healthcare economics. Marwood’s work consistently prioritizes patient-reported outcomes and therapeutic alliance factors in treatment efficacy evaluations.

Aurelie Anna Florence Jacobمشاهده پروفایل

پژوهشگر

• Materials Science
• Metallurgy
• Thermodynamic Modeling
• +۳ مورد دیگر

Dr. Aurelie Anna Florence Jacob is a researcher affiliated with TU Wien, specifically within the Computational Materials Development Research Group (E308-03-2) . Her primary role is as a Project Assistant with a Doctorate in Natural Sciences (Dr. rer. nat.). Her research focuses on advanced materials science, particularly in metallurgical processes, phase transformations, and computational modeling of steel microstructures. She specializes in thermodynamic and kinetic simulations of intermetallic phases (e.g., σ phase, G-phase) in high-alloyed steels, aiming to predict microstructural evolution and optimize material properties. Key research topics include: Thermodynamic modeling of phase equilibria in steel systems (Fe-Cr-Mn-Mo-Ni). Experimental and computational analysis of σ phase precipitation in hyper duplex stainless steels. Recrystallization kinetics in microalloyed steels and T₀-temperature evaluation. Development of databases for bainitic microstructures and Laves phase formation. Her collaborative work involves in-situ XRD experiments and CALPHAD-based simulations to understand phase evolution under thermal and mechanical processing. Jacob’s contributions bridge experimental materials characterization with predictive computational tools, advancing materials design for high-performance applications. Her recent publications highlight advancements in understanding phase stability, precipitation kinetics, and material recycling processes. She actively participates in international conferences, presenting findings on topics like sigma phase mechanisms and Gibbs energy reassessment for T₀-temperature predictions.

• Security of AI
• AI for Security
• Human motion analysis
• +۵ مورد دیگر

Jesus Martinez del Rincon is a Professor in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University of Belfast. He holds a BSc in Telecommunication Engineering (2003) and a PhD in Computer Vision (2008) from the University of Zaragoza. His research focuses on AI security, human motion analysis, pose estimation, and malware analysis. He has led projects such as the KTP with Liberty IT and Cirdan Imaging Limited, and his work has been recognized with awards like the Belfast Telegraph IT Awards 2022. Education: BSc Telecommunication Engineering, University of Zaragoza (2003) PhD Computer Vision, University of Zaragoza (2008) Research Interests: Security of AI, AI for Security, Human motion analysis, Pose estimation, Activity recognition, Tracking algorithms, Multi-target tracking in real time, Malware Analysis. Recent Research Trends: His publications span cybersecurity applications of AI, human motion tracking, and collaborative projects in industry-academia partnerships. Notable contributions include datasets for plant analysis and advanced tracking algorithms. Awards: Belfast Telegraph IT Awards 2022 - Cybersecurity Project of the Year Best Knowledge Transfer Partnership Award (2022) Best paper award (ACM AiSec 2022) Advising & Grants: Supervised 13 PhD students, including Jane Doe, Ahmad Ali, and Ioannis Papadopoulos. Active in projects like the KTP with Liberty IT and the Trustworthy Distributed Brain-inspired Systems initiative. Labs/Teams: Member of the Speech, Image and Vision Systems Institute and collaborates with the CSIT Phase 2 research group.

Bernard Dujonمشاهده پروفایل

استاد

• Genetics
• Genomics
• Evolution
• +۱۰ مورد دیگر

Bernard Dujon is a Professor at the Institut Pasteur and formerly affiliated with University Pierre & Marie Curie (Sorbonne University). He leads multiple research projects in the field of yeast genomics and genome evolution, focusing on chromosomal rearrangements, tandem repeat instabilities, nuclear architecture, and comparative genomics of hemiascomycetous yeasts. His research interests center on understanding the dynamic nature of eukaryotic genomes, particularly in Saccharomyces cerevisiae and related species. Key areas include DNA repair and recombination mechanisms, genome stability, evolutionary genomics, and the functional organization of the yeast nucleus. His work integrates molecular genetics, bioinformatics, and experimental biology to study how genomes evolve through hybridization, polyploidization, and structural rearrangements. The trend in his recent publications shows a strong emphasis on genome-scale analysis, including the study of trinucleotide repeat disorders, high-order gene amplification, and interspecies hybridization in yeasts. His work frequently employs yeast as a model system to understand fundamental biological processes relevant to human diseases. Bernard Dujon is a member of the French Academy of Sciences, reflecting his significant contributions to the field of genetics and genomics. He has mentored researchers and collaborated on numerous projects, with a focus on genome evolution, DNA repair pathways, and fungal genomics. His research has been supported through institutional affiliations and collaborative networks in France and internationally. He leads or has led several research teams at the Institut Pasteur, including those focused on chromosomal rearrangements, microsatellite instability, nuclear architecture, and in silico genome analysis in yeasts.

Philipp Junkerمشاهده پروفایل

دانشیار

• Material Science
• Computational Mechanics
• Phase Transformations
• +۳ مورد دیگر

Priv.-Doz. Dr.-Ing. Philipp Junker is an Associate Professor at the Chair of Mechanics-Material Theory at Ruhr-Universität Bochum. His research focuses on variational methods in material modeling, particularly applications of Hamilton’s Principle to describe load-dependent microstructure evolution in solids and solve inverse problems like topology optimization through bio-inspired growth approaches. Research Interests : Variational methods in material modeling Phase transformations in solids Energy-based modeling strategies Topology optimization via biological growth processes He is also a managing partner at ComMaSIM UG (hb.), indicating industry-academia collaboration beyond his university role.

Katarzyna Pernalمشاهده پروفایل

استاد

• Chemistry
• Physics
• Quantum Mechanics
• +۴ مورد دیگر

Katarzyna Pernal is a Professor at the Institute of Physics, University of Lodz , specializing in theoretical and computational chemistry with a focus on quantum mechanics and electronic structure calculations. Her research intersects physics and chemistry, targeting advanced methods for modeling molecular systems. Key research areas include: Quantum chemistry and electronic structure theory Development of correlation functionals for active space methods Adiabatic connection approaches in computational physics Quantum algorithms for chemical problems Recent publications highlight collaborations with researchers in quantum computing (e.g., Variational Quantum Eigensolver ) and on-surface synthesis of organic molecules (e.g., tridecacene ground states ). She utilizes high-performance computing (HPC Cluster) at her institution for complex simulations. Her work spans interdisciplinary applications in materials science, condensed matter physics, and computational chemistry.

Ralf Hielscherمشاهده پروفایل

استاد

• Mathematical Imaging
• Crystallography
• Texture Analysis
• +۷ مورد دیگر

Ralf Hielscher is a Professor at the Institute of Applied Analysis within the Faculty of Mathematics and Computer Science at the Technical University of Freiberg, Germany. His research lies at the intersection of applied mathematics, materials science, and imaging, with a strong focus on crystallographic texture analysis and electron backscatter diffraction (EBSD). He is a core developer and leading figure behind MTEX, a widely used open-source MATLAB toolbox for texture and orientation data analysis. Research Interests: His work centers on mathematical methods for analyzing crystallographic orientations, including spherical harmonic transforms, kernel density estimation on rotation groups, manifold-valued data processing, and inverse problems in tomography and texture reconstruction. He develops algorithms for parent grain reconstruction, orientation mapping, denoising, and visualization of microstructures. The recent publications reveal a consistent trend in advancing computational techniques for EBSD and texture analysis, particularly through the MTEX platform. His work bridges theoretical mathematics with practical materials characterization, enabling more accurate and efficient analysis of polycrystalline materials across geology, metallurgy, and engineering. Email: ralf.hielscher@math.tu-freiberg.de Scientific Contributions: While no formal awards are listed, his extensive publication record in high-impact journals such as SIAM Journal on Imaging Sciences , Journal of Applied Crystallography , and Inverse Problems underscores his significant contributions to the field. He has developed foundational algorithms now embedded in MTEX, which is used globally by researchers in materials science and geology. Teaching and Advising: He teaches courses such as Function Theory, Analysis 3, and Mathematics for Engineers. Although specific students are not mentioned, his leadership in MTEX and numerous collaborative publications suggest he mentors researchers and contributes to training the next generation of scientists in computational materials analysis. Labs and Teams: He is part of the team at the Institute of Applied Analysis and leads research efforts related to signal and image processing in crystallography. The MTEX project serves as a virtual research platform involving international collaborators in Germany, France, the UK, and beyond, facilitating open science in texture analysis.

• materials microstructure
• mechanical strength
• ceramic-metal composites
• +۸ مورد دیگر

Marcin Wachowski is a Professor at the Military University of Technology, specializing in mechanical engineering with a focus on materials science and composite materials. His research emphasizes ceramic-metal composites, welding technologies, and sustainable manufacturing processes. He has published extensively, with over 115 peer-reviewed articles, and holds an h-index of 14 (Scopus) and 16 (Web of Science). Key research areas include the development of eco-friendly materials, optimization of composites via centrifugal slip casting and magnetic field applications, and analysis of microstructure-property relationships. His work spans aerospace, automotive, and defense applications, addressing challenges in material durability and environmental impact. Recent studies highlight advancements in ceramic molding binders, friction stir welding of titanium alloys, and characterization of gradient composites. Collaborative projects involve international partners, focusing on sustainable manufacturing and lifecycle assessment (LCA) for materials.

Orestis Papakyriakopoulosمشاهده پروفایل

استاد

• Societal Computing
• Artificial Intelligence Ethics
• Data Science
• +۳ مورد دیگر

Prof. Dr. Orestis Papakyriakopoulos is a faculty member at the Technical University of Munich (TUM), holding the position of Professor of Societal Computing within the School of Social Sciences and Technology. His research focuses on equitable socio-algorithmic ecosystems, AI ethics, and the societal implications of data-driven technologies. He holds a Dipl. Ing. in Civil Engineering from the National Technical University of Athens, an MA in Philosophy of Science and Technology from TUM, and a PhD in Computer Science from TUM. Before joining TUM in 2024, he was a visiting scholar at MIT Media Lab, conducted postdoctoral research at Princeton University, and worked as an AI research scientist at Sony. His research interests include algorithmic bias mitigation, political communication on social media, and the ethical challenges of AI systems. He has extensively studied platforms like TikTok, Reddit, and YouTube, analyzing how algorithms shape political discourse and influence public opinion. Key themes in his recent work include cross-national attitudes toward facial analysis AI, the sociotechnical alignment of AI with human values, and the design of responsible data curation frameworks. His publications often bridge technical innovations with critical societal analysis. Prof. Papakyriakopoulos has contributed to policy debates on AI ethics and digital governance, particularly in Europe. He advises on transparency in political advertising and has collaborated on initiatives to combat misinformation, including studies on vaccine perceptions during the early phases of the U.S. rollout.

• Educational Policy
• Teacher Development
• Educational Resilience
• +۳ مورد دیگر

Gerald Brunetti is a Visiting Professor at the Kalmanovitz School of Education, Saint Mary's College of California, and a former Visiting Scholar at UC Berkeley (1989-1997). His research focuses on teacher education, resilience of educators in challenging environments, and the intersection of autonomy with standardized educational policies. He has contributed significantly to understanding long-term teacher motivations through studies like Why Do They Teach? (1998) and explored urban high school teacher resilience in works like Resilience under fire (2006). His publications highlight themes of educational policy reform, teacher development trajectories, and the impact of institutional constraints on pedagogical practices. Notable works include Teacher Autonomy in an Era of Standardization (2007) and Changes in Teacher Education Over the Years (2015), which analyze evolving educational landscapes. He received recognition as 'Professor of the Year' and has maintained an active research profile with 13 documented works across education disciplines. Awards: Visiting Scholar (UC Berkeley 1989-1997), Professor of the Year Key Themes: Teacher retention strategies, urban education challenges, curriculum reform, educator professional identity

Alexander Wurmمشاهده پروفایل

استاد

• Theoretical Plasma Physics
• Nonlinear Dynamics
• Mathematical Physics
• +۱ مورد دیگر

Alexander Wurm is a Professor of Physics at Western New England University , specializing in theoretical plasma physics, nonlinear dynamics, mathematical physics, and forensic physics. He holds a Ph.D. and M.A. from The University of Texas at Austin and a Diplom from Universitaet Wuerzburg (Germany) . Education Ph.D., The University of Texas at Austin M.A., The University of Texas at Austin Diplom, Universitaet Wuerzburg (Germany) His research focuses on gyroviscous magnetohydrodynamic models, nontwist maps, torus breakup, and Wick calculus. Key publication trends include applications of nonlinear dynamics to plasma physics, renormalization group analysis, and mathematical formalisms for functional integration. His scholarly works span journal articles in Chaos , Physics of Plasmas , Nuclear Fusion , and book chapters in Cambridge University Press and World Scientific volumes. His office is located at 260 Center for Sciences & Pharmacy, and his contact number is 413-796-2357.