جست‌وجوی استاد و پژوهشگر

Roberto Pagariaمشاهده پروفایل

دانشیار

• Algebraic Topology
• Combinatorics
• Configuration Spaces
• +۴ مورد دیگر

Roberto Pagaria is an Associate Professor in Algebraic Topology at the University of Bologna. He is a member of the EMS Young Academy and has supervised three PhD students. His research focuses on Abelian arrangements, configuration spaces, matroids, representation theory, spectral sequences, and quiver varieties. Education: PhD in Mathematics (2019), thesis: 'Cohomology and Combinatorics of Toric Arrangements', advised by Filippo Callegaro Master's thesis: 'Geometry of Quiver Varieties', advised by Andrea Maffei Bachelor's thesis: 'The Brauer Group of a Local Field', advised by Angelo Vistoli and Ilaria Del Corso Research Interests: Pagaria's work bridges algebraic topology, combinatorics, and geometry. He explores cohomological structures of toric arrangements, elliptic arrangements, and configuration spaces. His studies include Hodge theory for polymatroids, combinatorial decomposition theorems, and applications of spectral sequences in representation theory. Academic Engagement: He co-organized the 2023 Summer School on 'Quiver Representations, Quiver Varieties, and Combinatorics' and delivered invited talks at leading institutions such as MIT, University of Strasbourg, and the Göran Gustafsson Symposium. His software tools like 'arithmat' (for arithmetic matroids) and 'Characteristic OT' enhance computational research in combinatorial algebraic geometry. Grants and Awards: While no specific grants are detailed, his active conference participation and software contributions highlight sustained academic engagement. His work has been published in top journals like the Journal of the London Mathematical Society and the International Mathematics Research Notices.

Carolyn Millsمشاهده پروفایل

استادیار

• Protein Engineering
• Systems Biology
• Synthetic Biology
• +۴ مورد دیگر

Carolyn Mills is an Assistant Professor in the Department of Bioengineering at the University of California, Santa Barbara, specializing in molecular engineering of proteins for spatial organization in biological systems with applications in plastic remediation and oral vaccine delivery. Education: PhD, Chemical Engineering, Massachusetts Institute of Technology (MIT) BS, Chemical Engineering, UC Santa Barbara Her research integrates protein engineering, synthetic biology, and polymer science to manipulate spatial organization. Key focus areas include bacterial microcompartments for PET waste remediation, liquid-liquid phase separation characterization using cell-free systems, anaerobic platforms for lignin breakdown, and probiotic-based oral vaccine delivery using virus-like particles. The Mills Lab employs high-throughput screening and cell-free protein synthesis to develop closed-loop plastic degradation systems and low-cost vaccine scaffolds. Recent publications (2022-2025) demonstrate consistent innovation in protein self-assembly mechanisms, bacterial organelle engineering, and environmental/medical applications, with strong emphasis on scalable solutions for plastic pollution and global vaccine access. Scientific awards: Distinguished Postdoctoral Service Award, Northwestern University Dr. Mills leads collaborative projects with Prof. Michelle O'Malley and ExFAB (UCSB's NSF Biofoundry), focusing on anaerobic fungal pathways. Her lab bridges fundamental protein dynamics with real-world applications in environmental sustainability and biomedical engineering through engineered spatial organization strategies.

Thomas Scanlonمشاهده پروفایل

استاد

• Mathematical Logic
• Model Theory
• Number Theory
• +۴ مورد دیگر

Thomas Scanlon is Professor of Mathematics at the University of California, Berkeley and serves as Vice-Chair for Graduate Affairs in the Berkeley Senate. He is additionally affiliated with the campus-wide Group in Logic and the Methodology of Science. His research lies at the intersection of mathematical logic and number theory, with a focus on model theory and its applications to diophantine geometry, difference and differential algebra, and arithmetic dynamics. Education S.B., University of Chicago, 1993 Ph.D., Harvard University, 1997 Research Interests Scanlon’s work centers on model theory , especially o-minimality , stability theory , and geometric model theory . He applies these logical tools to problems in diophantine geometry such as the André–Oort and Zilber–Pink conjectures, studies difference and differential algebraic structures, and investigates arithmetic dynamics of rational maps and Drinfeld modules. Publications Overview Since 1997 he has authored or co-authored more than sixty research papers. Recurring themes include the model theory of valued and difference fields, jet and prolongation spaces, effective bounds in diophantine problems, and functional transcendence results. Recent work (2018-2025) explores differential Chow varieties, strong minimality of modular functions, effective elimination procedures for differential-difference equations, and uniformity questions in diophantine geometry. Doctoral Supervision Scanlon has supervised at least sixteen Ph.D. theses at UC Berkeley, covering pure model theory, diophantine geometry, differential algebra, and stability theory. Students graduated between 2002 and 2022 include Alice Medvedev, Dragos Ghioca, Alex Kruckman, and Benjamin Castle. Contact & Office Email: scanlon@math.berkeley.edu Office: 723 Evans Hall, UC Berkeley Phone: (510) 642-3665

Steffen Sagaveمشاهده پروفایل

دانشیار

• Algebraic Topology
• Homotopy Theory
• K-Theory
• +۳ مورد دیگر

Steffen Sagave is an Associate Professor in the Department of Mathematics at Radboud University. His research focuses on algebraic topology, particularly homotopy theory, with interests in K-theory, higher category theory, and derived algebraic geometry. He holds a Habilitation in Mathematics from the University of Bonn (2013) and a PhD from the University of Bonn (2006), supervised by Stefan Schwede. Previously, he has held roles including Visiting Professor at the University of Wuppertal (2014-2015) and postdoctoral positions at the University of Münster (2008-2009) and the University of Oslo (2006-2008). He is a core member of the Algebraic Topology group at Radboud University, leading research on topics such as logarithmic structures in homotopy theory. Collaborative grants include the Dutch NWO-funded 'Symmetry on the interface of topology and higher algebra' (2025-2031), and he co-organizes the European Autumn School in Topology (2025). His teaching includes advanced courses like Topology and Algebraic Topology 2, alongside supervision of PhD students in areas like algebraic topology and homotopy theory. Scientific activities include organizing conferences, maintaining a YouTube channel with recorded talks, and publishing widely in top-tier journals. His research group is part of the Geometry and Quantum Theory (GQT) cluster, fostering interdisciplinary collaborations in topology and algebra.

Michael Krauthammerمشاهده پروفایل

استاد

• Clinical Data Science
• Translational Bioinformatics
• Machine Learning in Healthcare
• +۳ مورد دیگر

Michael Krauthammer is a Professor of Medical Informatics and Chair of the Department of Quantitative Biomedicine at the University of Zurich, affiliated with the University Hospital of Zurich. His lab focuses on Clinical Data Science and Translational Bioinformatics, leveraging AI and machine learning to address healthcare challenges. Key areas include cancer genomics, federated learning, and automated medical imaging analysis. Education and affiliations: Krauthammer leads an interdisciplinary team supported by major funding agencies. His research spans bioinformatics, clinical decision support systems, and multimodal data integration. Notable projects include AI-assisted diagnosis in rheumatology and prime editing efficiency prediction. Recent work emphasizes longitudinal cfDNA analysis, drug interaction modeling, and personalized oncology. The lab collaborates across disciplines, with projects funded by Swiss and international grants. Students and postdocs work on topics like machine learning for radiology reports, longitudinal disease trajectories, and protein design. Key projects include the NTCIR-18 RadNLP challenge, prime editing prediction models (Nature Biotechnology 2024), and vision transformers for capillaroscopy analysis. The lab advocates for reproducible data science and ethical AI in healthcare.

Jonathan Huمشاهده پروفایل

استاد

• Optics
• Photonics
• Nanophotonics
• +۱۱ مورد دیگر

Dr. Jonathan Hu is a Professor in the Department of Electrical and Computer Engineering at Baylor University's School of Engineering and Computer Science. He holds a PhD from the University of Maryland Baltimore County (2008) and completed a postdoctoral fellowship at Princeton University (2009–2011). He is an active researcher in optics and photonics, leading the Photonics Research Laboratory and advising both graduate and undergraduate research assistants. Research Interests: Nanophotonics and metamaterials for photovoltaic and biomedical applications Mid-IR supercontinuum generation using chalcogenide photonic crystal fibers 2D materials such as graphene and their alignment via magnetic fields Coherent optical communication and quantum optical Fredkin gates Numerical simulation of electromagnetic problems and leaky mode analysis His recent publications (2019–2024) demonstrate a strong focus on quantum plasmonics, specialty optical fibers, optofluidics, and nonlinear optical phenomena, with high-impact work in journals like Science Advances , ACS Photonics , and Advanced Materials . The research shows a clear trend toward integrating photonics with 2D materials and quantum systems, with applications in sensing, communication, and materials characterization. Scientific Awards and Recognition: 35 Baylor faculty named among top 2% most cited researchers (2023) Editor’s Pick, Journal of Applied Physics (2018) Top three downloads in OSA journals for three consecutive months (2009) NSF Graduate Research Fellowship (awarded to advisee) Chinese Government Award for Outstanding Self-Financed Students Abroad (awarded to advisee) Second Place in FiO + LS Student Competition (awarded to advisee) Advising and Grants: Dr. Hu actively mentors students at all levels, with current graduate research assistants including Wei Zhang, Zhihao Hu, and Sterling Walzel. His lab is supported by external funding, though specific grants are not detailed in the text. He has advised PhD students such as Joshua Young, Chao Niu, and Chengli Wei, many of whom have gone on to successful academic and industry careers. His teaching includes core courses like EGR 1302, ELC 2320, and ELC 4320, as well as advanced topics in computational photonics and integrated photonics. Labs and Teams: He leads the Photonics Research Laboratory at Baylor University, located at the BRIC facility. He is also involved with the Baylor University Optica Student Chapter, promoting optics outreach and networking among students and researchers.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +۳ مورد دیگر

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

Mark Morrisonمشاهده پروفایل

استاد مدعو

• Biomedical and Clinical Sciences
• Clinical microbiology
• Gastroenterology and hepatology
• +۳ مورد دیگر

Professor Mark Morrison is an Affiliate Professor at the School of Chemistry and Molecular Biosciences, University of Queensland, and holds roles as Chair & Group Leader of Metagenomics at the Frazer Institute within the Faculty of Health, Medicine and Behavioural Sciences. His research focuses on clinical microbiology, gastroenterology, and the microbiome’s role in diseases like inflammatory bowel disease (IBD) and diabetes. He has extensive academic qualifications, including a Bachelor of Science from the University of New South Wales, a Master’s from James Cook University, and a PhD from the University of Illinois. Education : Bachelor of Science, University of New South Wales Masters (Research) of Science, James Cook University Doctor of Philosophy, University of Illinois His research interests span microbiome-driven health and disease mechanisms, particularly in gut-brain interactions, mucosal microbiota dynamics, and translational therapies. Over 390 works include studies on dietary FODMAP effects, microbiome-based IBD diagnostics, and SCFA therapy for diabetes. He leads interdisciplinary grants on microbiome manipulation and has advised numerous PhD students on topics like Crohn’s disease, archaeal biodiversity, and immune modulation. His recent articles highlight microbiota roles in SIBO, anastomotic leaks, and probiotic efficacy. While no explicit awards are cited, his contributions to gut microbiome science are recognized through active research collaborations and funding. He actively supervises students and chairs teams advancing metagenomics and clinical applications.

Samuel V. Scarpinoمشاهده پروفایل

استاد

• Artificial Intelligence
• Public Health
• Epidemiology
• +۳ مورد دیگر

Samuel V. Scarpino is a Professor at Northeastern University , leading as Director of AI + Life Sciences in the Institute for Experiential AI . He holds appointments in the Khoury College of Computer Sciences , Bouvé College of Health Sciences , and the Network Science Institute . Scarpino’s career spans roles at The Rockefeller Foundation, Dharma Platform, and co-founding Global.health , a Google-backed pathogen tracking initiative. Education: PhD in Biology (2013) from The University of Texas at Austin; Omidyar Fellow at the Santa Fe Institute (2013–2016). His research focuses on integrating AI , network science , and epidemiology to address global health challenges. Key areas include disease modeling , wastewater surveillance , and health equity . Recent work explores AI applications for H5N1 pandemic preparedness , scRNA-seq analysis , and social determinants of health . Scarpino’s scientific contributions include over 100 publications in Nature , Science , and PNAS , alongside fellowships from the ISI Foundation (2017), Santa Fe Institute (2020), and Vermont Complex Systems Institute (2021). He mentors PhD students like Wan He and leads interdisciplinary teams at Northeastern’s Roux Institute and Network Science Institute . Grants from the McGovern Foundation and Microsoft Research support his work on AI for public health.

Ahmed F Abdelghanyمشاهده پروفایل

استاد

• Commercial Airlines
• Airports
• Big Data Cloud Computing
• +۷ مورد دیگر

Dr. Ahmed F. Abdelghany is the Associate Dean for Research and Professor of Operations Management at the David O'Maley College of Business, Embry-Riddle Aeronautical University, since January 2006. He specializes in commercial airlines, airports, big data cloud computing, business analytics, and operations research models. Prior to his academic career, Dr. Abdelghany worked in enterprise optimization at United Airlines, Chicago. Education: Ph.D. in Civil Engineering (Transportation Systems) from the University of Texas at Austin (2001) Dr. Abdelghany’s research focuses on airline network planning, flight scheduling, simulation of complex transportation systems, and NextGen air traffic management. He has authored two influential books: Modeling Applications in the Airline Industry (Routledge 2010) and Airline Network Planning and Scheduling (Wiley 2018). His publications analyze airline operations, competitive dynamics, and crowd management in transportation facilities. He teaches courses like Airline Management (BA 315) and Airline Operations & Mgmnt (BA 609), and participates in industry short courses. Dr. Abdelghany contributes to research projects such as NextGen air traffic implementation, integrated airport initiatives, and benefit-cost analysis of arrival management systems. His work bridges academic theory with real-world airline and transportation challenges.

Michael Molloyمشاهده پروفایل

استاد

• Graph Theory
• Probabilistic Method
• Random Graphs
• +۲ مورد دیگر

Michael Molloy is a Professor in the Department of Computer Science at the University of Toronto, with a cross-appointment to the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC). He teaches courses in Discrete Mathematics and the Probabilistic Method, including CSC/MAT A67 and CSC2427/MAT1500 . Research Focus: Graph Theory, Probabilistic Methods, Random Graphs, Constraint Satisfaction Problems, and Markov Chain analysis. His work includes foundational contributions to graph coloring, such as adaptable/conflict coloring and correspondence coloring, and exploring phase transitions in random graphs. He has supervised numerous graduate students, including Lora Hrisch, Jurgen Aliaj, and Hamed Hatami, advancing combinatorial and algorithmic research. Recent publications analyze random graph processes, the freezing threshold for k-colorings, and the resolution complexity of constraint satisfaction problems. These studies intersect theoretical computer science, combinatorics, and probabilistic modeling, often revealing deep structural insights through rigorous mathematical proofs.

Steffi Colyerمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Sports Biomechanics
• Motion Analysis
• +۷ مورد دیگر

Steffi Colyer is a Senior Lecturer in Biomechanics at the Department for Health, University of Bath. She is affiliated with the Centre for Health and Injury and Illness Prevention in Sport and the Bath Institute for the Augmented Human. Her research is supported by major grants from EPSRC and ESA, focusing on elite athletic performance, rehabilitation, and motion analysis technologies. Her research interests center on biomechanics of athletic performance, particularly in sports such as skeleton, badminton, and sprinting. She investigates the kinetic and kinematic determinants of elite performance, develops markerless motion capture systems for real-world analysis, and applies musculoskeletal modelling to understand internal loading and adaptation in normal and simulated gravity environments. Her work bridges sports science, engineering, and rehabilitation. The recent trend in her publications shows a strong focus on markerless motion analysis, pose estimation, musculoskeletal modelling, and the biomechanics of sprinting and racket sports. She leverages advanced computational methods, including deep learning and in silico simulations, to improve performance analysis and injury prevention. Her scientific awards include: ISBS New Investigator Award finalist (oral) (co-author), 2022 Departmental Staff Award for Innovation in Learning and Teaching, 2025 She has supervised multiple research students and projects, including PhD and postdoctoral work, and is actively involved in peer review for journals such as Journal of Sports Sciences , Scientific Reports , and Journal of Biomechanics . She leads the IAA project on markerless motion capture for skeleton push-start analysis and contributes to the CAMERA initiative, a major interdisciplinary research center focused on motion analysis and virtual reality applications. Her research is conducted within the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), where she collaborates with computer scientists, engineers, and sports scientists to develop and apply cutting-edge motion capture technologies in real-world settings.

• Computational Genomics
• Gene Regulation
• RNA Biology
• +۴ مورد دیگر

Susanne Bornelöv is a Professor in the Department of Biochemistry at the University of Cambridge. Her research focuses on computational genomics and gene regulation, particularly exploring posttranscriptional mechanisms such as codon optimality-mediated mRNA decay and transposon silencing. She uses computational methods, ribosome profiling, and Drosophila models to study how codon usage, tRNA availability, and RNA modifications influence gene regulation and genome evolution. Her work integrates artificial intelligence (AI) and comparative genomics to model gene regulatory processes and design novel regulatory elements. Key research areas include piRNA clusters' roles in suppressing retroviruses, codon usage bias in pluripotent stem cells, and the interplay between mRNA methylation and protein synthesis. The Bornelöv Group collaborates widely, including with institutions like Cold Spring Harbor Laboratory, to advance understanding of fundamental gene expression principles. Publications highlight contributions to topics like deep learning in genomics, evolutionary conserved piRNA mechanisms, and transcriptional regulation. She leads a group open to interns, students, and researchers, fostering interdisciplinary approaches to address complex biological questions.

Tommy Löfstedtمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +۴ مورد دیگر

Tommy Löfstedt is an Associate Professor at Umeå University , affiliated with the Department of Computing Science and the Department of Mathematics and Mathematical Statistics. His research focuses on machine learning , computer vision , and medical image analysis , with applications in life sciences, radiation therapy, and biomedical imaging. He leads multiple research projects, including AI-driven delineation in radiation therapy, quantitative MRI for radiotherapy, and machine learning for plant nutrient uptake. Current research emphasizes structured regularization methods to improve model interpretability and robustness. Key applications include medical image segmentation , Alzheimer's classification , and uncertainty estimation in MRI . Recent publications highlight his work on morphological regularization , adversarial attack mitigation , and multi-task learning in medical imaging contexts. His projects span 2022–2026 with funding for pediatric oncology automation and gynecological cancer staging. Affiliated with both computing and mathematical departments, he bridges algorithm development with applied mathematical frameworks in medical and life science domains.

Jiaxuan Liمشاهده پروفایل

استادیار

• Seismology
• Distributed Acoustic Sensing
• Earthquake Rupture Dynamics
• +۷ مورد دیگر

Jiaxuan Li is an Assistant Professor of Geophysics in the Department of Earth and Atmospheric Sciences at the University of Houston's College of Natural Sciences and Mathematics. His research focuses on developing fiber-optic sensing technologies for seismic monitoring across diverse geological environments including volcanic, crustal, and glacial settings. Dr. Li's educational background includes a Ph.D. in Geophysics from the University of Houston (2015-2020) and a B.S. in Geophysics from Peking University (2011-2015). He previously held a postdoctoral position at Caltech Seismolab under Prof. Zhongwen Zhan. His research program centers on distributed acoustic sensing (DAS) applications, with major contributions in volcanic eruption forecasting through minute-scale magma migration imaging, earthquake rupture dynamics via high-frequency fault asperity analysis, and subsurface characterization for carbon sequestration and geothermal energy. Recent work demonstrates DAS capabilities as dense geodetic arrays for real-time volcanic monitoring systems deployed in Iceland through collaborations with the Icelandic Met Office and Reykjavik University. Analysis of Dr. Li's publication record reveals a strong emphasis on operationalizing fiber-optic networks for geophysical monitoring, with significant advancements in eruption early warning systems, earthquake source characterization, and subsurface imaging techniques. His work bridges fundamental seismological research with practical hazard mitigation applications. Dr. Li actively mentors graduate students and recently welcomed postdoc Dr. Tianfan Yan to his research team. His lab operates real-time DAS streaming systems for volcanic eruption monitoring in Iceland, developed through international collaborations involving the University of Houston, Caltech, Ljósleiðarann, and Reykjavik University. Current research directions include expanding DAS applications for carbon sequestration verification and deep geothermal reservoir characterization.