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Uwe HasslerView profile

Professor

• Econometrics
• Time Series Analysis
• Statistical Methods
• +3 more

Prof. Dr. Uwe Hassler is a Professor of Statistics and Econometric Methods at Goethe University Frankfurt, affiliated with the Department of Economic Policy and Quantitative Methods within the Faculty of Economics and Business Economics. His research focuses on time series analysis, econometric methodology, long memory processes, and unit root testing. He holds an office at RuW 3.214 on Theodor-W.-Adorno-Platz 4 in Frankfurt. Key research interests include statistical inference, hypothesis testing pitfalls, and applications in financial econometrics. Recent work addresses self-normalizing tests, spurious correlations in random walks, and historical mathematical problems like the Basel conjecture. His contributions span theoretical advancements and practical methodologies in time series analysis. Publications emphasize rigorous testing frameworks, addressing issues like sample size determination, significance testing pitfalls, and long memory properties in economic data. Notable collaborations include work on inflation dynamics and cointegration analysis. No academic awards or grants are explicitly listed in provided texts. His team includes researchers like Tanja Zahn and lecturers such as Balázs Cserna, contributing to the Hassler research group.

Emmanuel UllmoView profile

Professor

• Number Theory
• Transcendence Theory
• Arakelov Geometry
• +2 more

Emmanuel Ullmo is a Full Professor at the University of Paris-Sud and has served as Director of the Institut des Hautes Études Scientifiques (IHES) since 2013. His career spans prestigious positions, including Assistant Professor at Princeton University and administrative roles in academic leadership. PhD in Mathematics, Université Paris-Sud (1993) Habilitation, Université Paris-Sud (1997) Student, École Normale Supérieure de Cachan (1985–1989) Ullmo’s research lies at the intersection of number theory, algebraic geometry, and ergodic theory. He has made significant contributions to the study of Shimura varieties, equidistribution of Hecke points, and the André-Oort conjecture, often leveraging tools from automorphic forms and transcendence theory. His work explores connections between arithmetic geometry and dynamical systems, particularly through equidistribution theorems and applications of ergodic theory to Diophantine problems. Key themes include height theory, modular curves, and special subvarieties. Scientific Awards and Grants Prix Elie Cartan (2006) Institut Universitaire de France Member (2003–2008) NSF Grant (1999–2001) Invited Speaker, ICM (2002) Ullmo has advised five PhD students, including Zyang Gao and Martin Orr, and played leadership roles in organizing mathematics conferences and editorial boards. He served as Managing Editor of Inventiones Mathematicae and chaired the Erasmus Mundus Network ALGANT node at Paris-Sud.

Vass ImreView profile

Professor

• Photosynthesis
• Plant Stress Responses
• Biophysics
• +4 more

Imre Vass is a Professor and Director of the Institute of Plant Biology at the Biological Research Centre, Hungarian Academy of Sciences (Szeged, Hungary). His academic career includes roles as Deputy Director, Visiting Professor at the Ecole Normale Superieure (Paris), and Senior Researcher. He holds a D.Sci. in Biology from the Hungarian Academy of Sciences (1994), a Candidate of Sci. in Biology (1984), and a Ph.D. in Biophysics (1977) from József Attila University. Research Interests: Focuses on Photosystem II structure/function, in silico modeling of photosynthetic systems, renewable energy from photosynthesis, plant stress responses, and photodamage mechanisms. His work bridges biochemistry, biophysics, and environmental biology. Awards & Grants: Recipient of the Officer's Cross (2012) and Széchenyi Professor Award (1997). Led major European projects including the EU FP7 European Plant Phenotyping Network (2012-2015) and SOLAR-H2 (2008-2011). Active in international grant reviews for agencies in Hungary, Italy, Finland, and the U.S. Academic Impact: Supervised 11 completed and 3 ongoing PhD students. Serves as a top-tier journal reviewer (e.g., Plant Cell, PNAS) and maintained a 20+ annual review output over decades.

Jaya BishwalView profile

Associate Professor

• Probability
• Stochastic Processes
• Statistical Inference
• +2 more

Dr. Jaya Bishwal is an Associate Professor in the Mathematics & Statistics Department at the University of North Carolina at Charlotte. Her research expertise centers on Probability and Stochastic Processes, with applications in mathematical finance and statistical inference. Her extensive publication record demonstrates deep specialization in fractional processes, stochastic differential equations, and statistical estimation methods. Recent work focuses on advanced econometric applications including Levy process modeling, fractional Ornstein-Uhlenbeck systems, and volatility estimation in financial mathematics. Methodological innovations include developments in quasi-likelihood estimation, Kolmogorov distance analysis for estimators, bootstrap methods for financial derivatives, and asymptotic theory for nonergodic systems. Her research bridges theoretical probability and practical applications in quantitative finance.

Bin WangView profile

Professor

• Catalysis
• Materials Science
• Computational Simulation
• +3 more

Bin Wang is a Professor in the Department of Sustainable Chemical, Biological and Materials Engineering at the University of Oklahoma's Sarkeys Energy Center. His research focuses on computational simulations of materials chemistry, catalysis, and energy conversion, utilizing density functional theory (DFT) and molecular dynamics. Key areas include nanoscale materials, energy storage (e.g., lithium-sulfur batteries), and catalytic processes for biomass conversion. Education: Ph.D. in Chemistry, École Normale Supérieure (ENS) de Lyon, France (2011) B.A. in Chemical Engineering, East China University of Science & Technology (2004) Postdoctoral Research, Vanderbilt University (2010–2014) Awards: DOE Early Career Award (2019) ACSIN Young Scientist Prize (2009) Marie Curie Fellowship (2007–2009) His work bridges computational modeling and experimental catalysis, addressing challenges in renewable energy, material design, and sustainable chemistry. Notable contributions include studies on hydrogenation pathways in liquid water, MXene ion diffusion, and graphene functionalization. Collaborations span academia and industry, focusing on advancing UN Sustainable Development Goals through distributed biomass conversion.

• Cognitive Neuroscience
• Psychogerontology
• Behavioral Neuroscience
• +4 more

Monica Lindin Novo is a Professor in the Department of Psychobiology at the Faculty of Psychology, University of Santiago de Compostela (USC), Spain. She is actively involved in research through the Applied Cognitive Neuroscience and Psychogerontology Research Group and teaches key courses in both undergraduate and postgraduate programs, including Biological Foundations of Behavior and Higher Psychic Processes in the Master's in Neuroscience and Psychology. Her research focuses on the cognitive and biological underpinnings of behavior, particularly in the context of aging and higher mental functions. With a strong emphasis on cognitive neuroscience and psychogerontology, her work bridges experimental psychology and neuroscientific methodologies to understand normal and pathological cognitive changes across the lifespan. The available publications indicate a consistent focus on cognitive neuroscience, neurocognitive aging, and experimental paradigms related to attention, memory, and executive functions, though specific articles are not listed in the current data. Her academic contributions are aligned with advancing knowledge in brain-behavior relationships in aging populations. Research Group: Applied Cognitive Neuroscience and Psychogerontology Monica Lindin Novo mentors students in psychology and neuroscience programs and contributes to academic training through structured coursework and research supervision. She is actively engaged in institutional research initiatives, though specific grants or funded projects are not detailed in the provided text.

Yongjie ZhangView profile

Associate Professor

• Neuroscience
• Neurodegenerative Diseases
• Frontotemporal Dementia (FTD)
• +11 more

Yongjie Zhang, Ph.D., is an Associate Professor in the Department of Neuroscience at Mayo Clinic, Jacksonville, Florida. He leads a research laboratory focused on understanding the molecular and cellular mechanisms underlying frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), two fatal neurodegenerative disorders that share pathological and genetic features. His work integrates molecular biology, functional assays, and animal modeling to uncover disease pathways and develop novel therapeutic strategies. Dr. Zhang earned his Ph.D. in Neuroscience from Tongji Medical College & Hua-Zhong University of Science and Technology (HUST), an M.S. in Microbiology from Xiamen University, and a B.S. in Biology from Hebei Normal University. His research centers on the pathogenic roles of aggregation-prone proteins, particularly TDP-43 and C9orf72 dipeptide repeat (DPR) proteins. He has developed novel mouse models expressing individual DPR proteins to dissect their specific contributions to neurodegeneration, stress granule dynamics, and behavioral deficits. A key focus is understanding how DPR proteins and TDP-43 co-aggregate in stress granules and drive proteinopathy. He also investigates genetic modifiers and antisense oligonucleotides (ASOs) as potential therapeutics for C9orf72-associated FTD and ALS. Analysis of Dr. Zhang’s recent publications reveals a strong emphasis on TDP-43 pathology, DPR protein toxicity, stress granule biology, and biomarker discovery. His work spans from basic molecular mechanisms to translational applications, including antibody development and therapeutic targeting. There is a consistent trajectory toward identifying and validating novel targets for intervention in ALS and FTD. Target ALS Foundation Grant Program (2017–2019, 2020–2022) ALS Association Research Grant (2014–2017, 2015–2018) Alzheimer's Association New Investigator Research Program (2014–2016) AFAR Affiliate Research Grant Program (2009–2010) Dr. Zhang has served as Principal Investigator (PI) on multiple significant grants, including NIH/NINDS and Alzheimer’s Association projects, demonstrating sustained funding and leadership in neurodegeneration research. His lab actively collaborates with prominent researchers at Mayo Clinic, such as Dr. Leonard Petrucelli and Dr. Tania Gendron. He leads a research team investigating disease mechanisms and therapeutic strategies, supported by active projects on poly(ADP-ribose) in DPR toxicity, mechanisms of DPR-induced cell death, and TDP-43 function.

Olivier BlazyView profile

Professor

• Cryptographic Protocols
• Post-Quantum Cryptography
• Zero-Knowledge Proofs
• +8 more

Olivier Blazy is a Professor at École Polytechnique, specializing in cryptographic protocols and security analysis. His research spans post-quantum cryptography, implicit cryptography, end-to-end encryption, and online age verification systems. Current affiliations: École Polytechnique (since 2021), LIX Grace Lab Previous institutions: University of Limoges (2014-2021), Ruhr University Bochum (2012-2014), École Normale Supérieure (2009-2012) Blazy’s work focuses on developing quantum-resistant cryptographic solutions, including secret sharing mechanisms, oblivious transfer protocols, and code-based encryption systems. He has contributed to the NIST Post-Quantum Cryptography standardization process. His research includes a taxonomy for post-compromise security, analyzing recovery speeds of protocols like Signal and 5G handover systems. Recent publications explore bivariate proximity tests, cryptographic accumulators, and identity-based revocation schemes. Blazy has been featured in media discussing cybersecurity policy, including: Critique of French government’s StopCovid contact-tracing app (2020-2022) Analysis of EU digital identity frameworks (2024) Commentary on online age verification and privacy (2023) He teaches advanced cryptography courses covering encryption, differential privacy, and cryptanalysis techniques.

Wojciech Jerzy GrabowskiView profile

Professor

• International relations in the Middle East
• Integration in the Middle East (especially in the Persian Gulf)
• Political and economic transformation in the Arab states
• +5 more

Wojciech Jerzy Grabowski is a Professor at the University of Gdańsk, currently serving as Head of the Department of International Relations within the Institute of Political Science, Faculty of Social Sciences. He holds concurrent positions as Member of the Disciplinary Council of Political and Administrative Sciences and Member of the Council of the Faculty of Social Sciences, with formal recognition as a university professor by the Teachers' Panel. His research concentrates on Middle Eastern international relations, particularly Persian Gulf dynamics, examining integration/disintegration processes, foreign policy frameworks, security threats (terrorism, failed states), Islam's political role (including Muslim fundamentalism), and authoritarian leadership patterns. Recent work analyzes geopolitical shifts from the Ukraine war, pandemic impacts, and Saudi-Qatari rivalry through realist and securitization lenses. His 15 most recent publications (2017-2022) reveal consistent focus on Gulf Cooperation Council functionality, security complex theory applications, and transformation challenges in Arab states. Key trends include empirical testing of IR theories against regional crises, evolving sanction strategies among Gulf actors, and the interplay between religious identity and security architectures. Scientific awards include: Dean's Award of the Faculty of Social Sciences of the University of Gdańsk for scientific achievements (2009) Dean's Distinction of the Faculty of Social Sciences of the University of Gdańsk for scientific and teaching activities (2019) As a doctoral supervisor, he served as secondary supervisor for Kornel Bielawski's PhD dissertation (defended 2020). He has executed major grants including Polish Ministry of Foreign Affairs projects on contemporary Poland/Europe, NATO's Science for Peace and Security program in Serbia, EU-funded initiatives for the Naval Academy in Gdynia, and the European Law Foundation grant on human rights in counter-terrorism. He supervises the student scientific circle Convertum – Club of Political Thought Exchange and participates in the Institute's Quality of Education Team, while organizing international conferences like Arab and Muslim World in International Relations (Gdańsk 2015-2016).

Elsa GunterView profile

Research Professor

• Formal methods
• programming languages
• software engineering
• +6 more

Elsa Gunter is a Research Professor at the Department of Computer Science , University of Illinois at Urbana-Champaign . Her work bridges formal methods , programming languages , and human-computer interaction with a focus on verification and security. Education: Ph.D. in Mathematics, University of Wisconsin-Madison (1987) M.A. in Mathematics, University of Wisconsin-Madison (1981) B.A. in Mathematics, University of Chicago (1979) Her research interests include formal verification , type theory , and secure system design . She has developed tools like VeriF-OPT for parallel program optimization and Tutela for modeling human-computer protection envelopes. Her recent publications focus on concurrent systems , compiler verification , and security protocols . Notable awards include the Most Influential 10-Year Paper Award at RE 2010 and the EASST Best Paper at ETAPS 2001 . She has advised students like Dennis Griffith and Liyi Li , while collaborating on projects such as DSILL (distributed functional language) and PTRANS (program transformation semantics).

• Management
• Organizational Change
• Human Resource Management
• +3 more

Birthe Kåfjord Lange is an Associate Professor at the Department of Leadership and Organization, School of Communication, Leadership and Marketing, Kristiania University of Applied Sciences. Her primary teaching focus is on management disciplines, with extensive experience in executive education programs. She specializes in Change Management , Managerial Discretion , and Work-Integrated Learning , emphasizing the development of managers and organizational ambidexterity. Her research explores themes such as strategic adaptation during crises, digital transformation challenges, and the psychological dimensions of workplace change. Recent work includes studies on organizational ambidexterity in sports organizations and the role of mentorship in leadership development. Key publications span topics like uncertainty management in the 'New Normal', HR strategies for evolving work environments, and time management in Norwegian managerial roles. Her 2020-2025 works highlight a trend toward analyzing modern workplace dynamics and leadership challenges in hybrid/digital settings. Lange has no listed scientific awards but maintains active research output with 15+ publications since 2002. No grants or advising activities are explicitly mentioned in the provided data.

Günter LastView profile

Professor

• Stochastic Processes
• Stochastic Geometry
• Poisson Processes
• +6 more

Prof. Dr. Günter Last is a Professor at the Institute of Stochastics within the Faculty of Mathematics at the Karlsruhe Institute of Technology (KIT) . He has held this position since 2000 (C4/W3 Professorship). Last's research focuses on stochastic processes , stochastic geometry , and their applications in mathematics, physics, and finance. Education: Diploma in Mathematics, Humboldt University Berlin (1984) PhD in Mathematics, Humboldt University Berlin (1987) Dr. Sc. in Mathematics, Technical University Braunschweig (1995) Research Interests: Last leads research in Poisson processes, Boolean models, Gibbs processes, and spatial random systems. His work explores Palm calculus, hyperuniformity, normal approximation, and percolation phenomena. He co-authored the textbook Lectures on the Poisson Process with Mathew Penrose. Publications & Trends: His recent work includes Normal approximation of Kabanov-Skorohod integrals , Hyperuniform stable matchings , and Poisson hulls , reflecting a focus on stochastic analysis and geometric probability. His research bridges theoretical insights with applications in digital microstructures and wireless network modeling. Scientific Leadership: Co-Editor for Electronic Journal of Probability (2018-2023) Speaker of DFG Research Unit Geometry and Physics of Spatial Random Systems (2011-2018) Associate Editor for Applied Probability Journals (2005-2019) Advising: Last has supervised 15 doctoral theses and numerous diploma/master's theses, including topics on neural networks, random tessellations, and stochastic financial models.

Kenya M. WilliamsView profile

Assistant Professor

• Ophthalmology
• Oculoplastic Surgery
• Orbital Diseases
• +7 more

Kenya M. Williams, MD, is an Assistant Professor in the Department of Ophthalmology at Rush Medical College, Rush University. She specializes in oculoplastic and reconstructive surgery of the periorbital region, with clinical practice sites in Chicago and Evanston. Her clinical expertise includes blepharoplasty, oculoplastic surgery, orbital diseases, thyroid eye disease, tear duct disorders, wound reconstruction, and minimally invasive treatments such as Botox and dermal fillers. She emphasizes functional restoration, believing that "form follows function" , resulting in natural cosmetic outcomes post-surgery. Dr. Williams completed her ophthalmology residency at the State University of New York (SUNY) and pursued fellowship training in Ophthalmic Plastic Surgery at Medical College of Pennsylvania/Allegheny General Hospital. She earned her medical degree from Chicago Medical School. Her practice philosophy centers on preserving or improving vision while restoring normal eyelid structure and function. Though academic publications and research are noted as part of Rush clinicians' activities, no specific articles or research projects are detailed in the available text. She is not listed as having received any specific scientific awards or honors in the provided content. There is no mention of student advising, grant funding, or leadership in research labs or teams. As an independent practitioner, she is not an employee of Rush but chooses to treat patients at Rush-affiliated facilities.

• Molecular Developmental Biology
• Genetics
• RNA Biology
• +7 more

Dr. Chiara Gamberi is an Affiliate Assistant Professor in the Department of Biology at Concordia University, serving as a part-time faculty member. Her research focuses on the spatio-temporal regulation of messenger RNA (mRNA) translation, investigating its role in cellular and organismal polarization during normal homeostasis and disease using Drosophila melanogaster as a genetically tractable model. She leverages evolutionary conservation between fly and human disease pathways to identify novel therapeutic targets for conditions like polycystic kidney disease (PKD) and longevity-promoting mechanisms. Her interdisciplinary approach combines genetic, molecular, and chemical screens to advance mechanistic knowledge of pathological states and pioneer rapid biological process discovery. Key methodologies include small-molecule chemical probing and tailored 'fly pharmacology' for whole-animal in vivo studies. Article Trends : Her 15 most recent publications highlight Drosophila as a platform for modeling human diseases (e.g., PKD), dissecting TOR and myc signaling pathways, and exploring lipidomics, microbiota metabolism, and stem cell biology. Collaborative projects often feature multi-author contributions, reflecting her team-based research ethos. Scientific Recognition : F1000Prime Recommendation (2017) for her work on PKD-like phenotypes in Drosophila . Student Supervision : Dr. Gamberi has mentored students marked with asterisks in publications, including Millet-Boureima, C., Selber-Hnatiw, S., and Porras Marroquin, J. She advocates for undergraduate research through team-writing assignments that culminate in publication. Labs & Collaborations : She leads the Gamberi Laboratory, which applies Drosophila to nephrology and microbiome research. Her work has been featured in Science (2007) for contributing to the National Postdoctoral Association Survival Guide and highlighted in press releases for PKD research and microbiota studies.

Jim WilsonView profile

Professor

• Human Genetics
• Population Genetics
• Genetic Epidemiology
• +5 more

Jim Wilson is Professor of Human Genetics at the University of Edinburgh, jointly affiliated with the Usher Institute and the MRC Human Genetics Unit within the College of Medicine and Veterinary Medicine. He holds a personal Chair and serves in the Deanery of Molecular, Genetic and Population Health Sciences. His educational background includes a first-class BSc in Genetics from the University of Edinburgh (1997) and a DPhil in Human Population Genetics from the University of Oxford (2002), with research training under Nobel laureate Svante Pääbo and David Goldstein. Wilson's research spans population genetics, disease genetics, and genetic epidemiology, with particular focus on: Genetic architecture of complex traits influencing diseases like heart disease and diabetes Founder effects and pathogenic variants in Scottish island populations Homozygosity and recessive genetic variants through the ROHgen consortium Genetic history of the British Isles including Norse Viking ancestry He leads the Viking Genes studies in Orkney, Shetland and the Western Isles, which combine rich phenotyping, deep genotyping, and biobanking to identify disease associations. His extensive publication portfolio (over 300 peer-reviewed articles) consistently explores genetic epidemiology methods, population-specific variant discovery, and the interface between genetic history and modern disease risk. Recent work focuses on translating genetic discoveries into clinical applications through population screening programs. Wilson has received significant recognition including: Royal Society University Research Fellowship Thomson-Reuters Highly Cited Researcher (2014-2017) Fellow of the Royal Society of Edinburgh IFTA awards for science communication programs He leads multiple funded projects including: Return of Actionable Genetics Findings to Viking Genes Participants (Wellcome Trust) Landscape of HFE gene variation across British Isles (Haemochromatosis UK) FAIR informatics tools development (Health Data Research UK) Sleep/circadian rhythm effects on brain health (multiple funders) Wilson directs the Viking Genes research program and leads an international consortium (ROHgen) involving >100 cohort studies and >1.4 million participants. His group focuses on translating population genetics findings into clinical applications, particularly regarding founder variants in Scottish populations.