جست‌وجوی استاد و پژوهشگر

Vasily Krylovمشاهده پروفایل

پژوهشگر ارشد

• Representation Theory
• Mathematical Physics
• Algebraic Geometry
• +۵ مورد دیگر

Vasily Krylov is a Benjamin Peirce Postdoctoral Fellow at Harvard University's CMSA, mentored by Prof. Dan Freed and supported by the Simons Foundation via the Simons Collaboration on Global Categorical Symmetries. He completed his PhD in Mathematics at MIT under Prof. Roman Bezrukavnikov. His research focuses on the intersection of representation theory, mathematical physics, and algebraic geometry, with a special emphasis on symplectic resolutions, integrable systems, 3D-mirror symmetry, and Coulomb branches. Affiliations: Harvard CMSA (2020–present), MIT PhD (2015–2020) Education: PhD in Mathematics (MIT, 2020), Prior studies include seminars on geometric representation theory and quantum groups. His work spans geometric realizations of algebraic structures, such as asymptotic affine Hecke algebras and Bethe subalgebras in Yangians, with applications to character formulas and symplectic duality conjectures. He co-organizes the Geometry and Quantum Theory (GQT) seminar at Harvard and has presented at institutions like the Perimeter Institute and Skoltech. Key research directions include: Proving Hikita-Nakajima conjecture for ADHM spaces and Slodowy slices Geometric Satake equivalence and Coulomb branch constructions Applications of Kazhdan-Lusztig theory to affine Lie algebras His recent articles address symplectic resolutions, Frobenius pushforwards on compactifications, and integrable crystal structures in representation theory.

Alex Tangمشاهده پروفایل

مدرس ارشد

• Neuroscience
• Neuroplasticity
• Aging Neuroscience
• +۴ مورد دیگر

Dr. Alex Tang is a Senior Lecturer and Senior Research Fellow at the School of Biomedical Sciences (Pharmacology and Toxicology), University of Western Australia. He holds the inaugural Sarich Family Research Fellowship and founded the Healthy Brain Ageing and Repair Lab at UWA and the Perron Institute. His research focuses on understanding age-related neurological functions and disorders, particularly stroke, aiming to develop interventions for healthy brain ageing. Tang completed his PhD in neuroscience at UWA and conducted postdoctoral research at the Okinawa Institute of Science and Technology. He has received multiple awards, including the Masao Ito Award (2018) and WA Young Achiever of the Year (2016). Education: PhD in Neuroscience, University of Western Australia Postdoctoral Research, Okinawa Institute of Science and Technology (Japan) Research Interests: His lab investigates the impact of ageing on learning, memory, and neurological disorders using techniques like transcranial magnetic stimulation (TMS) and transcranial alternating current stimulation (tACS). Key areas include neuroplasticity mechanisms, stroke recovery, and developing non-invasive brain stimulation therapies. Recent Articles: Recent work includes studies on bifocal tACS improving bimanual dexterity and interhemispheric inhibition (2025), subthreshold rTMS-induced neural plasticity (2025), and axonal remodeling post-stroke (2025). These highlight his focus on innovative stimulation techniques and their applications in aging neuroscience. Awards: Masao Ito Award (2018) Early Career Research Award (2022) WA Premier's Awards Finalist (2021) Grants & Activities: He leads grants such as WA Near Miss Awards Ideas (2025) and collaborates on pediatric audiological equipment projects. He serves on editorial boards for Frontiers in Neuroscience journals and is a member of the Australian Brain Alliance. Labs & Teams: Directs the Healthy Brain Ageing and Repair Lab, focusing on translational research to address age-related neurological challenges through novel interventions.

Dilum Dissanayakeمشاهده پروفایل

دانشیار

• Transport Planning
• Human Geography
• Climate Change Mitigation
• +۷ مورد دیگر

Dr. Dilum Dissanayake is an Associate Professor in Human Geography and Transportation Planning at the University of Birmingham's School of Geography, Earth and Environmental Sciences. She holds a PhD from Nagoya University, Japan, and has expertise in transport planning, data analysis, and behavioral change to mitigate climate change. Her research integrates computing, data mining, and behavioral sciences with a focus on sustainable mobility, smart infrastructure, and innovative transport solutions. Education: PhD (Transport Planning), Nagoya University, Japan MEng (Infrastructure Planning and Management), Asian Institute of Technology, Thailand BSc (Hons) (Civil Engineering), University of Moratuwa, Sri Lanka Diploma in Programming Research Interests: Travel demand modeling, electric/autonomous vehicles, behavioral change for sustainability, transport policy analysis (e.g., congestion pricing, telecommuting), and developing country transport challenges. She applies methods like discrete choice models, machine learning, and NLP. Awards & Grants: Co-Investigator in CLEETS (UK-Japan £10m project), Principal Investigator in Capitalisation and eHUBS (€392k/€412k EU projects). Notable awards include the 2022 Remarkable Women in Transport Award and Duo-India Fellowship. Advising & Grants: Supervises 6 current PhD students and has guided 10 completed PhDs. Leads Transport Demand Management in CLEETS and Transport Modelling in Capitalisation. Teaches modules like Sustainable Cities and One-Planet Thinking. Labs/Teams: Part of Birmingham's Sustainable Cities research group, leading projects on micro-mobility, EV adoption, and post-pandemic transport trends. Engages in international collaborations via CLEETS and eHUBS.

• Mathematics
• Harmonic Analysis
• Group Theory
• +۵ مورد دیگر

Srivatsa Srinivas is a mathematician affiliated with the University of California, San Diego (UCSD), where he completed his PhD under Professor Alireza Golsefidy. His research focuses on applications of harmonic analysis, group theory, information theory, and number theory to the study of random walks on profinite groups. He also actively explores interdisciplinary projects in formal verification (using tools like Lean and SMT solvers) and computer graphics, with a recent focus on generalizing Dijkstra's algorithm. Education: PhD in Mathematics, UCSD (Advisor: Alireza Golsefidy) Research Interests: His work bridges pure mathematics and computer science, emphasizing: Random walks on algebraic structures Applications of harmonic analysis in group theory Formal verification techniques for number-theoretic problems Algorithmic innovations in computer graphics Recent Talks: Presented on 'Random walks on SL₂(F_p) × SL₂(F_p)' at the UCSD CS Theory Seminar (Dec 2024) and shared thesis defense slides offering an introduction to his foundational research.

Yudong Chenمشاهده پروفایل

استادیار

• Changepoint Detection
• High-dimensional Statistics
• Robust Statistics
• +۴ مورد دیگر

Yudong Chen is an Assistant Professor in the Department of Statistics at the University of Warwick, starting September 2024. Previously, he was an LSE Fellow (2023–2024) and a postdoctoral researcher at the London School of Economics. He holds a PhD in Statistics from the University of Cambridge (2023), with a thesis on High-dimensional Online Changepoint Detection, supervised by Richard J. Samworth and Tengyao Wang. His research focuses on changepoint detection, high-dimensional statistics, robust methods, and machine learning. Education: PhD in Statistics, University of Cambridge (2023) MA & MMath in Mathematics, University of Cambridge (2018) BA in Mathematics, University of Cambridge (2018) Teaching: University of Warwick: Module leader for ST420 Statistical Learning and Big Data (2024/25) LSE: Taught ST202/6 Probability, ST447 Data Analysis, and ST449 Artificial Intelligence His research interests span statistical methodologies including online algorithms, robust statistics, and spatial models. He has published in top journals like the Journal of the American Statistical Association and presented at venues such as the IMS Annual Meeting. Awards include the LSE Class Teacher Award (2023) and the Smith–Knight Prize (2020). Grants: Worked on EPSRC-funded research on 'Change-point analysis in high dimensions' at LSE. Labs/Teams: Engaged in collaborative projects on online changepoint detection and statistical methodologies.

Sam Butterworthمشاهده پروفایل

استاد

• Medicinal Chemistry
• Cancer Therapy
• Synthetic Chemistry
• +۴ مورد دیگر

Sam Butterworth is a Professor of Medicinal Chemistry at the University of Manchester, holding the Chair in Medicinal Chemistry. Previously, he worked at the University of Birmingham (2013-2016) and AstraZeneca (2005-2013), where his research contributed to the development of osimertinib (Tagrisso), an FDA-approved anti-cancer drug targeting EGFR mutations. He leads the Butterworth Group, focusing on synthetic and biological chemistry to address human health challenges, particularly cancer therapy and drug delivery systems. Education & Experience: Senior Lecturer at Manchester (2016-2024), AstraZeneca R&D (2005-2013), Birmingham academic role (2013-2016) Key Projects: ERK5 inhibitors for breast cancer, nanoparticle drug delivery, and HDX mass spectrometry for protein dynamics Research Interests: Medicinal chemistry, synthetic organic methods, targeted cancer therapies, nanoparticle systems, and enzyme modulators (e.g., NAMPT). His group collaborates closely with clinicians and biomedical researchers to validate compounds in disease models. Publications: Over 25 peer-reviewed articles in journals like Angewandte Chemie and Acta Pharmaceutica Sinica B , focusing on catalytic methods, drug design, and nanotechnology. Awards: 2017 RSC Malcolm Campbell Award, 2018 ACS Heroes of Chemistry Award Grants/Leadership: Co-Investigator on projects totaling £[X] funding, including EPSRC and Wellcome Trust grants Labs & Teams: Active in Manchester’s Institute of Inflammation and Repair and collaborates with the Christie NHS Foundation Trust for translational cancer research.

Michael Suitsمشاهده پروفایل

دانشیار

• Structural Biology
• Carbohydrate Recognition
• X-ray Crystallography
• +۲ مورد دیگر

Michael Suits is an Associate Professor in the Department of Chemistry and Biochemistry at Wilfrid Laurier University. His research focuses on structural biology approaches to understanding carbohydrate recognition and processing in bacterial systems, particularly in oral microbiomes and biofilm formations. His research examines: Structural mechanisms of carbohydrate-active enzymes Microbial glycobiology in human pathogens X-ray crystallography of protein-carbohydrate complexes Bacterial polysaccharide degradation pathways Metabolic adaptations in gut and oral microbiota Analysis of his publication history shows consistent focus on enzyme mechanisms in carbohydrate metabolism across various bacterial systems, with recent emphasis on structural characterization of glycoside hydrolases and polysaccharide utilization in human microbiome pathogens. Dr. Suits maintains active research collaborations and directs laboratory investigations into microbial carbohydrate processing mechanisms at the atomic level.

Jeyeon Joمشاهده پروفایل

استادیار

• Wearable Sensors
• Assistive Technology
• Textile Engineering
• +۷ مورد دیگر

Jeyeon Jo is an Assistant Professor in the Department of Textiles, Merchandising and Interiors at the University of Georgia's College of Family and Consumer Sciences. Her research focuses on wearable sensors, assistive technology, and ergonomic design, with an emphasis on sustainable materials and healthcare applications. She holds a Ph.D. in Human Centered Design from Cornell University (2023), an M.S. in Fashion Design (2017), and a B.S. in Clothing and Textiles (2014), both from Seoul National University. **Education:** Ph.D. Human Centered Design, Cornell University (2023) M.S. Fashion Design, Seoul National University (2017) B.S. Clothing and Textiles, Seoul National University (2014) **Research Interests:** Jeyeon develops wearable healthcare solutions using stretchable fiber optics and passive RFID, with a focus on optimizing user comfort and performance. Her work spans assistive technologies, firefighting gear ergonomics, and cross-cultural studies of clothing's sociocultural role. Recent projects include sustainable textile prototyping (LeatherBoard) and gait-monitoring systems (RFInsole). **Awards:** Human Service Studies Graduate Fellowship (Cornell, 2022) Best Brief at ISWC 2021 (2021) Roberta G. & John B. De Vries Graduate Award (Cornell, 2020) **Grants & Advising:** Currently no grants explicitly listed; actively advising students in wearable tech and textile engineering. Editorial roles include Fashion and Textiles (2024–present) and Korean Fashion & Textile Research Journal (2025–2026).

Glenn Boremanمشاهده پروفایل

استاد

• Infrared Optics
• Metamaterials
• Antenna Design
• +۳ مورد دیگر

Glenn Boreman is a Professor and Chair of the Department of Physics and Optical Science at the University of North Carolina at Charlotte (UNC Charlotte). He also serves as Director of the Center for Optoelectronics & Optical Communications. His academic journey includes a BS in Optics from the University of Rochester and a PhD in Optics from the University of Arizona. Previously, he spent over 27 years at the University of Central Florida, supervising 25 PhD students to completion. His research focuses on infrared antennas, metamaterials, frequency-selective surfaces, and nano-scale optical phenomena. Notable contributions include pioneering work on antenna-coupled infrared sensors and the design of advanced optical systems. He has authored/co-authored over 190 journal articles and four textbooks, including Infrared Detectors and Systems and Modulation Transfer Function in Optical & Electro-Optical Systems . Prof. Boreman holds prestigious fellowships from SPIE, IEEE, the Optical Society of America, and the Military Sensing Symposium. His awards include the 'Best Paper' honor at the 2001 AIAA/BMDO meeting. His lab, the Infrared Systems Lab, actively explores nanofabrication, high-resolution lithography, and advanced sensor technologies. Current doctoral students include Matthew Potter and Frances Bodrucki, both researching infrared devices and metamaterials. He directs interdisciplinary projects involving collaborators from materials science, electrical engineering, and astrophysics.

Peter Kahnمشاهده پروفایل

استاد

• Higher Education
• Critical Realism
• Digital Technologies
• +۳ مورد دیگر

Professor Peter Kahn is a Chair in Digital Education at the Manchester Institute of Education within The University of Manchester's School of Environment, Education and Development. His research focuses on critical realist perspectives in higher education, emphasizing digital technologies, generative AI, collaboration, and sustainability. He has held leadership roles, including Director of the Centre for Higher Education Studies at the University of Liverpool and Senior Professional Development Advisor at the University of Manchester, where he established a Postgraduate Certificate in Teaching and Learning in Higher Education. He edits the journal Teaching in Higher Education and has supervised nearly 30 doctoral theses. Research interests include digital education innovations, employability frameworks, and decolonizing higher education. Awards include the National Teaching Fellowship (2014) and Principal Fellowship of the Higher Education Academy. His recent projects include analyzing student experiences in work placements for the MA DTCE program. He actively serves as an external examiner for doctoral programs at multiple UK universities. Key Contributions: Over 29 publications, including books and peer-reviewed articles on educational theory and practice. Grants: Project leadership on 'Understanding the student experience of work placements on the MA DTCE' (2023). Teaching: Leads 'Blended learning in a digital age' and contributes to 'Education, Communication and Technology' modules.

Jian Luمشاهده پروفایل

استاد

• Biological Physics
• Biomaterials
• Biointerfaces
• +۵ مورد دیگر

Jian Lu is a Professor in the Department of Biological Physics at The University of Manchester, affiliated with the Christabel Pankhurst Institute. He holds a Doctor of Philosophy from The University of Hull (1991), specializing in Emulsion stability and breakdown. His research focuses on biological physics, biomaterials, biointerfaces, and peptide self-assembly, with a strong emphasis on antimicrobial peptides, nanostructure fabrication, and neutron scattering techniques. Key projects include investigations into structural changes of antibody molecules at interfaces, development of novel biocides against antimicrobial resistance, and contributions to the Manchester Bioelectronics Network. Lu has supervised 33 research students and led/co-led projects totaling £2.5M in funding. His work spans UN Sustainable Development Goals related to health and environmental sustainability. Research highlights include enzyme-triggered drug delivery systems, surfactant-pesticide interactions, and pH-responsive peptide gels. His lab employs advanced techniques like neutron reflectivity and molecular dynamics simulations to study protein-surface interactions and antimicrobial mechanisms. Lu's recent work explores biocompatible nanomaterials for medical applications and sustainable water purification using bioinspired materials.

• Neurobiology
• Neuroscience
• Cortical Plasticity
• +۴ مورد دیگر

Joshua Trachtenberg is a Professor in the Department of Neurobiology at the School of Medicine, University of California Los Angeles (UCLA) . His research focuses on understanding how early sensory experiences shape synaptic and network connectivity in cortical circuits, particularly in the visual system. Key Research Areas: Mechanisms of experience-dependent cortical plasticity Role of vision in neural circuit development Molecular pathways in autism-related models Inhibitory interneuron dynamics Long-term in vivo imaging of dendritic spines Recent Publications highlight studies on dendritic spine clustering, critical period plasticity, and retinal cell type evolution, with methodologies spanning multi-photon imaging and single-cell transcriptomics. Funding Highlights: NIH R01EY027407 (Disinhibition & Visual Plasticity) NIH R01EY023871 (Inhibitory Circuit Regulation) NIH R01MH082935 (PTEN-Associated Autism Models) Labs & Collaborations include work with the Silva, Golshani, and Geschwind groups, focusing on synaptic stability, cortical dysfunction, and autism-related protein studies.

• Polymer Chemistry
• Self-Assembly
• Drug Delivery
• +۳ مورد دیگر

Paul Joshua Hurst is a Postdoctoral Scholar in the Department of Chemistry at Stanford University, affiliated with the School of Humanities and Sciences. His research focuses on advanced polymer chemistry, self-assembly mechanisms, and their biomedical applications. He explores topics such as drug delivery systems, nanomedicines, and cryo-electron microscopy for material characterization. His work integrates interdisciplinary approaches, combining organic synthesis, materials science, and biophysics. Key areas of investigation include the design of bioreducible polymers for mRNA delivery, chemically driven hydrogel systems, and the structural analysis of enzyme@metal-organic frameworks using cryo-EM. He is affiliated with the CMAD, ChEM-H, and SSRL research programs. Recent research trends show a focus on reaction-driven self-assembly, sustainable polymer synthesis, and dynamic materials with tunable properties. His studies emphasize both fundamental mechanisms and translational applications in drug delivery and nanotechnology. No scientific awards have been listed in the provided information. While no student advisees are mentioned, his research contributions span over 15 peer-reviewed articles from 2020 to 2025, reflecting a strong publication trajectory in top-tier journals. His work is supported through collaborations with Stanford’s affiliated programs.

Jana Seifertمشاهده پروفایل

استاد

• Microbiology
• Animal Science
• Environmental Microbiology
• +۴ مورد دیگر

Prof. Dr. Jana Seifert is a full professor in the Department of Functional Microbiology in Farm Animals at the University of Hohenheim, Germany. She leads the Functional Microbiology research group and serves as the Equal Opportunities Officer for the Faculty of Agricultural Sciences. Her work focuses on microbiome-animal interactions, particularly in livestock, and the functional roles of gut microbiota in nutrient utilization and metabolic processes. Education: Jana Seifert holds a PhD in Biology from the Technical University Bergakademie Freiberg, Germany, and completed postdoctoral research in geomicrobiology at the Helmholtz Center for Environmental Research (UFZ), Leipzig. She transitioned to agricultural microbiology as a junior professor (2013–2018) before assuming her current full professorship in 2019. Research interests include microbial community functionality, metaproteomics, and the application of molecular techniques to study microbial contributions to methane reduction in dairy cows, protein utilization in pigs, and host-microbiome interactions. Key projects include Methabreed (reducing methane emissions via breeding strategies) and WiMiQ (host-microbiome energy metabolism in dairy cows). Her recent publications emphasize metaproteomics, microbiome-driven biomarkers, and the impact of dietary interventions on microbial ecology. Collaborations span institutions like the Hebrew University of Jerusalem and the Friedrich-Loeffler-Institut (FLI), Braunschweig.

Irene Nobeliمشاهده پروفایل

مدرس ارشد

• Bioinformatics
• Transcriptomics
• Regulatory RNAs
• +۳ مورد دیگر

Dr. Irene Nobeli is a Senior Lecturer and Education Lead (PG taught courses) at the School of Natural Sciences, Birkbeck, University of London. She specializes in computational biology and chemoinformatics, focusing on regulatory RNAs, transcriptomics in health/disease, brain disorders, and small molecule roles in biology. Her work bridges bioinformatics tools development and translational research. Administrative roles include directing the MSc Bioinformatics program and organizing the Sequence Analysis and Omics module. She collaborates with research centers like the Birkbeck Institute for Data Analytics (BIDA) and the Institute of Structural Molecular Biology (ISMB). Research interests span bioinformatics methodologies, Mycobacterium genomics, neurodevelopmental disorders, and computational drug design. Notable contributions include developing flexiMAP (alternative polyadenylation analysis) and baerhunter (bacterial non-coding RNA detection). Publications highlight her expertise in transcriptomics, bacterial pathogenesis, and neurobiological mechanisms. She actively engages in advancing computational methods for genomic data interpretation and translational medicine.