جست‌وجوی استاد و پژوهشگر

Duen Horng Chauمشاهده پروفایل

استاد

• AI Security
• Explainable AI
• Visual Analytics
• +۶ مورد دیگر

Roles & Affiliations: Duen Horng (Polo) Chau is a Professor in the School of Computational Science and Engineering at Georgia Tech. He co-directs the MS Analytics program and leads industry relations for The Institute for Data Engineering and Science (IDEaS) and corporate relations for The Center for Machine Learning. He teaches Data & Visual Analytics (CSE6242/CX4242) to over 1,000 students annually. His affiliations include the GVU Center, Institute for People and Technology (IPaT), and ML@GT. Education: PhD in Machine Learning (Carnegie Mellon University, 2012), MS in Machine Learning (CMU), MA in Human-Computer Interaction (CMU), B.Eng. in Information Engineering (The Chinese University of Hong Kong). Research: Focuses on human-centered AI, interpretable machine learning, adversarial robustness, graph visualization/mining, and social good applications (e.g., healthcare, anti-human trafficking). His lab develops tools like ActiVis (for neural network exploration), Diffusion Explainer (for text-to-image models), and TrafficVis (to combat trafficking). Research is funded by NSF, NIH, DARPA, NASA, and industry partners (Google, Intel, Meta). Awards: 17+ best paper awards, Google/Intel/Meta Faculty Awards, Outstanding Undergraduate Research Mentor (2023), Outstanding Mid-Career Faculty (2022), and the Carnegie Mellon Dissertation Award (2012). Grants & Labs: Leads projects on AI safety, robust speech recognition, and graph vulnerability. Collaborates with Children’s Healthcare of Atlanta on surgical planning via AR. His work influences industry platforms (e.g., Meta’s ML tools used by 25% engineers).

Juanita Duque-Roseroمشاهده پروفایل

عضو هیئت علمی

• Computational Number Theory
• Arithmetic Geometry
• Modular Curves
• +۴ مورد دیگر

Juanita Duque-Rosero is a Research Assistant Professor at Boston University, specializing in computational number theory and arithmetic geometry. She collaborates with Jennifer Balakrishnan on explicit Chabauty methods and triangular modular curves. Her research focuses on rational points on curves, modular curves, and p-adic heights. Education: PhD from Dartmouth College (2023, advised by John Voight), Masters from Colorado State University (2019, advised by Rachel Pries), and undergraduate degree from Universidad de los Andes. Research interests include arithmetic properties of curves, geometric quadratic Chabauty, and computational aspects of modular forms. She has contributed to databases of Hilbert modular surfaces and studies of Artin-Schreier curves. Her recent articles explore invariants of curves, p-adic heights, and geometric methods in number theory. Talks include presentations at CIRM, IPAM, and Texas A&M. Teaching includes courses like Modern Algebra and Graph Theory at Boston University, and calculus courses at Dartmouth and Colorado State. She mentors students in algebraic geometry and number theory through directed reading programs. She advocates for equitable mathematics education through Federico Ardila’s axioms and participates in outreach activities. A creative hobby is mathematical origami, leading a club at Colorado State University.

Saskia Peels-Mattheyمشاهده پروفایل

مدرس ارشد

• Ancient Greek religion
• Ancient Greek literature
• Greek epigraphy
• +۴ مورد دیگر

Dr. Saskia Peels-Matthey is a Senior Lecturer in Classics at the University of Groningen's Faculty of Arts, specializing in Ancient Greek religion, literature, and epigraphy. She holds MA degrees in English, Classics, and Linguistics from Leiden and Utrecht Universities, and a PhD in Classics from Utrecht University (2014). Her research integrates cognitive linguistics, digital humanities, and classical studies, notably through her NWO Veni project 'Polytheism as Language' exploring Greek divine semantics. She co-leads the open-access Collection of Greek Ritual Norms (CGRN) database and develops computational tools like AGILe lemmatizer. A board member of the Anchoring Innovation program, she also supervises interdisciplinary PhD projects blending classics with computational methods and climate communication. Her work spans semantic analysis of religious terms (e.g., hosios, hagnos), ritual innovations in inscriptions, and computational modeling of ancient Greek language evolution. Notable collaborations include organizing conferences on Artemis mythology and interdisciplinary workshops on ancient poetry's cognitive impact. She actively engages in public outreach through media appearances explaining classical studies' modern relevance.

Éric Tanterمشاهده پروفایل

استاد

• Programming Languages
• Gradual Typing
• Software Engineering
• +۹ مورد دیگر

Éric Tanter is a Full Professor in the Computer Science Department (DCC) at the University of Chile, where he also leads the PLEIAD Lab. He holds an Inria International Chair (2025–2029) and is an Associate Researcher at the Millenium Institute for Foundational Research on Data (IMFD). His academic leadership includes prior roles as Director and Deputy Director of the DCC, and Coordinator of the PhD Program in Computer Science. His research centers on programming languages and software engineering, with a strong focus on gradual typing, type systems, program verification, and secure programming. He explores both theoretical foundations and empirical practices, aiming to bridge the gap between static and dynamic language paradigms. His recent work emphasizes gradual verification, refinement types, and applications in proof assistants and security. The trends in his recent publications show a deep engagement with foundational aspects of gradual and dependent typing, often aiming to enhance the reliability and security of software systems. These works frequently involve formalization in proof assistants like Coq and explore applications in differential privacy, secure interoperability, and symbolic execution. Inria International Chair (2025–2030) Best Paper Awards at POPL 2019, OOPSLA 2018, ICFP 2018, MSR 2011, AOSD 2010, SBLP 2008, DAIS 2006 Most Influential/Most Notable Paper Awards at DLS, Programming, DLS Facebook Research Testing and Verification Award (2018) Google Faculty Research Awards (2015, 2016) Best Professor Award, University of Chile (2011) Éric Tanter has advised numerous PhD and Master’s students, many of whom have gone on to publish influential work in top venues. He has led multiple research projects funded by FONDECYT, ANID, INRIA, and other national and international agencies. His service includes editorial roles in journals such as the Journal of Functional Programming and Science of Computer Programming, and extensive participation in program committees of major conferences like POPL, ICFP, and OOPSLA. He leads the PLEIAD Lab at the University of Chile, a research group focused on programming languages, software engineering, and formal methods. The lab fosters collaboration with international institutions and emphasizes both theoretical rigor and practical impact.

• 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.

• Earthquake Site Response
• Ground-Motion Modeling
• Seismic Building Codes
• +۳ مورد دیگر

Dr. Paolo Bergamo is a Senior Researcher at the Swiss Seismological Service (SED), ETH Zurich, since April 2016. He specializes in engineering seismology, focusing on earthquake site response models, ground-motion modeling, and seismic risk assessment. His work includes projects such as the Earthquake Risk Model Switzerland (ERM-CH23) and the SERA Horizon2020 initiative. He holds a PhD in Earth Sciences from Politecnico di Torino (2012) and advanced degrees in Environmental Engineering. Key research areas include soil amplification analysis, geophysical surveys, and the integration of empirical and computational methods for seismic hazard mitigation. His contributions span microzonation studies, site characterization using borehole and ambient vibration data, and the development of design-compatible waveforms for Swiss building codes. Education: PhD in Water and Territory Management Engineering, Politecnico di Torino (2012) MSc and BSc in Environmental Engineering, Politecnico di Torino (2008, 2005) Research Interests: Dr. Bergamo’s work emphasizes the collation of empirical ground-motion data with building codes, spatial modeling of soil amplification, and geophysical site characterization. He employs advanced techniques like surface-wave analysis, machine learning, and canonical correlation for seismic hazard assessment. Projects & Grants: ERM-CH23: Site response implementation and national seismic risk modeling SERA Project (Horizon2020): Site characterization indicators Swiss Federal Office for Environment-funded studies on microzonation and geophysical monitoring Labs & Teams: Active contributor to the Engineering Seismology group at SED, leading efforts in alpine valley seismic modeling and offshore site characterization in Lake Lucerne.

Adrian Bellمشاهده پروفایل

استاد

• History of Finance
• Medieval Economic History
• Financial History
• +۸ مورد دیگر

Professor Adrian Bell is Chair in the History of Finance at the ICMA Centre, Henley Business School, University of Reading, where he also serves as Associate Pro-Vice-Chancellor for Research (Prosperity and Resilience). He has been a faculty member since 1994 and leads a major AHRC-funded project, 'The People of 1381', examining the Peasants' Revolt through interdisciplinary economic and social lenses. His research integrates medieval financial systems with modern economic theory. His research interests span History of Finance , Medieval Economic History , Football Finance , Hundred Years War , and Higher Education Policy . He employs quantitative and archival methods to explore topics such as medieval real estate bubbles, credit systems, and pandemic economics. His work often bridges historical analysis with contemporary financial issues, such as the economic impact of football clubs on universities or lessons from the Black Death for modern crises. The 15 most recent publications reflect a strong trend in medieval financial systems , behavioral and market finance , and socioeconomic impacts of sports and pandemics . His articles frequently analyze long-term economic patterns, price formation, and institutional finance, combining history with econometrics. Key themes include market efficiency, credit innovation, and the social consequences of financial decisions. Professor Bell has received continuous research funding from prestigious bodies including the AHRC , ESRC , and Leverhulme Trust . Notable projects include: The People of 1381 (AHRC) The first real estate bubble in medieval England (Leverhulme Trust) The Soldier in Later Medieval England (AHRC) Advance contracts for wool supply (ESRC) Medieval foreign exchange and credit finance (ESRC) He has advised on numerous collaborative research initiatives and contributes actively to public discourse through media appearances, podcasts (e.g., The Unexpected World of Business), and blogs. He is a frequent expert commentator on financial history and football economics. His work is supported by research teams and digital platforms such as 1381.online and the medievalsoldier.org database. He also contributes to academic leadership as former Head of the ICMA Centre and Associate Dean (International).

Mohsen Heidariمشاهده پروفایل

استادیار

• Quantum Computing
• Quantum Algorithms
• Theoretical Machine Learning
• +۳ مورد دیگر

Mohsen Heidari is an Assistant Professor in the Department of Computer Science at Indiana University, Bloomington. He is affiliated with the IU Quantum Science and Engineering Center (QSEc) and the NSF Center for Science of Information (CSoI). He previously held positions as a Visiting Assistant Professor at Purdue University and as a Postdoctoral Research Associate at CSoI. Ph.D. in Electrical Engineering (2019) and M.Sc. in Applied Mathematics (2017) from the University of Michigan His research focuses span quantum computing, theoretical machine learning, and information theory. Key themes include: Quantum algorithm design and sample complexity Fourier-based learning frameworks Quantum-classical duality in learning problems Information-theoretic approaches to biological systems Article trends show a strong emphasis on quantum-classical learning intersections (6/15 papers), Fourier analysis applications (5/15), and information-theoretic foundations (12/15). Notable venues include NeurIPS, IEEE Transactions, and ISIT. He directs research involving: Quantum Neural Network development Quantum measurement simulation Quantum data compression techniques Quantum algorithm implementation constraints

• Multicore Computing
• Virtualization
• Cloud Computing
• +۴ مورد دیگر

Xiaoning Ding is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). His research focuses on virtualization, multicore computing, cloud infrastructure optimization, and mobile systems. He leads projects addressing challenges in nested virtualization, memory management, and cache conflicts in distributed and cloud environments. Key research interests include optimizing task scheduling in cloud VMs, reducing TLB misses through huge page strategies, and mitigating interference in multi-tenant GPU clouds. His work on page placement mechanisms and dynamic page coalescing aims to enhance virtualized cloud performance. Ding has received federal funding, including an NSF grant for virtualization research in heterogeneous memory hierarchies (2016–2019). His research outputs span over 74 publications, with notable contributions in EuroSys, IEEE Transactions, and conferences like PACT. Media coverage highlights his studies on cloud computing and collaborative mobile systems, such as parking assignment algorithms. Beyond technical contributions, Ding advises students in interdisciplinary projects, exemplified by collaborations with Applied Math majors on cloud computing challenges.

Emmanuelle Picardمشاهده پروفایل

استاد

• History of Higher Education
• History of Academic Professions
• Assessment Systems in Education
• +۴ مورد دیگر

Emmanuelle Picard is a Professor of Contemporary History at the École Normale Supérieure de Lyon (ENS de Lyon), affiliated with the UMR Triangle research unit since 2018. She directs the Laboratoire de l’Éducation (UAR 3773) and holds associate membership in the CIRST (Université du Québec à Montréal). Her research focuses on the history of higher education, academic professions, and assessment systems, with particular attention to institutional differentiation and comparative educational policy. Administratively, she has served as Director of Social Sciences at ENS de Lyon (2019–2022), Master’s program coordinator (2016–2019), and chair of the RESUP network since 2018. She co-leads the HELoïse network for academic databases and chairs the editorial board of Lectures . Her work bridges historical inquiry with contemporary educational challenges, as seen in her 2020 HDR on French academic professions and recent collaborations analyzing workforce dynamics in French and UK universities. Key contributions include studies on university governance, the evolution of academic evaluation systems, and the socio-historical dynamics of educational inequality. Her interdisciplinary approach integrates prosopography, archival research, and policy analysis, reflected in edited volumes like Examinations, Grades and Diplomas (2023) and articles in Comparative Education and Histoire de l’Éducation .

• Biomedical Signal Processing
• Electroencephalography (EEG)
• Mental Workload Assessment
• +۱۲ مورد دیگر

Tarmo Lipping is a Professor in the Department of Computer Science and Engineering at the Faculty of Information Technology and Electrical Engineering, University of Oulu. His work bridges computing sciences with biomedical engineering, environmental modelling, and data-driven societal applications. Doctor of Science (Technology), Information Technology – Awarded 14 Feb 2001 Master of Science (Technology), Information Technology – Awarded 10 Sept 1993 His research focuses on electroencephalography (EEG) , mental workload assessment , depth of anesthesia monitoring , and machine learning applications in healthcare and human-computer interaction. He also contributes to environmental informatics , particularly in land uplift modelling and radionuclide transport , aligning with UN Sustainable Development Goals. Recent publications highlight trends in transformer networks for EEG analysis , wearable HCI systems , data-driven food safety , and participatory municipal governance . His work integrates deep learning, signal processing, and real-world deployment. Scientific awards include: CIMO opettajavaihto (2017) Lipping has supervised numerous master’s students and served as an examiner in diverse topics including data vault modelling , telecom revenue estimation , and EEG hyperscanning . He has evaluated funding applications, acted as a journal reviewer (65 times), and contributed to editorial work. His activities reflect strong engagement in academic service and interdisciplinary research mentorship. He has contributed datasets on Fennoscandian land uplift , lake isolation , and archaeological shorelines to PANGAEA, supporting open science in geosciences and environmental history.

Michael S. Conteمشاهده پروفایل

استاد

• Vascular Surgery
• Peripheral Artery Disease
• Aortic Disease
• +۷ مورد دیگر

Dr. Michael S. Conte is Professor of Surgery at the University of California, San Francisco (UCSF) School of Medicine, where he serves as Co-director of the UCSF Heart & Vascular Center and Chief of the Division of Vascular & Endovascular Surgery. Specializing in vascular surgery, Dr. Conte focuses on diseases of the aorta, aneurysms, carotid artery disease, peripheral artery disease (PAD), and diabetic vascular disease, performing complex revascularization procedures to preserve limb function and prevent amputations. Dr. Conte received his medical degree from Albert Einstein College of Medicine in 1986, completed surgical residency at Weill Cornell Medicine, and vascular surgery training at Brigham and Women's Hospital and Harvard Medical School. His clinical and research work has significantly advanced the field of vascular surgery, particularly in chronic limb-threatening ischemia (CLTI) management. Dr. Conte's research interests center on vascular interventions, limb preservation strategies, diabetic foot complications, and vascular disease outcomes. He led the largest multicenter clinical trial of leg bypass surgery for severe PAD and has been instrumental in the BEST-CLI trial comparing surgical versus endovascular approaches for CLTI. His work investigates mechanisms of vascular injury response, angioplasty and bypass failure, and methods to identify patients at risk for poor outcomes. Analysis of Dr. Conte's recent publications (2023-2025) reveals a strong emphasis on CLTI management, diabetic foot care, health disparities in vascular treatment, and quality improvement in vascular surgery. His research spans clinical trials, systematic reviews, guideline development, and health services research, demonstrating consistent contributions to evidence-based vascular care. American Heart Association 2019 Peripheral Vascular Disease Distinguished Achievement Award San Francisco Magazine 2016 Bay Area Top Doctors Best Doctors, Inc. 2015 Best Doctors in America New York Weill Cornell Medical Center Alumni Council 2006 Distinguished Achievement Award NHLBI/Lifeline 1999 Mentored Clinical Scientist Development Award Dr. Conte has secured significant NIH funding for research on diabetic foot care and vascular interventions, serving as Principal Investigator on multiple grants including the UCSF Diabetic Foot Clinical Research Unit (NIH U01DK119100) and research on specialized lipid mediators in vascular injury (NIH R01HL119508). He has established multidisciplinary 'toe and flow' programs at UCSF focused on limb preservation for patients with diabetic foot complications. As an active member of the Society for Vascular Surgery and Society of University Surgeons, Dr. Conte serves on editorial boards for leading vascular journals and has contributed to clinical practice guidelines. His clinical practice emphasizes complex revascularization procedures, and he is board certified in Vascular Surgery by the American Board of Surgery.

• Religious Studies
• Interreligious Dialogue
• Cultural Studies
• +۵ مورد دیگر

Paulo Mendes Pinto is a Researcher at Lusófona University , where he coordinates the Science of Religions area and leads the REC-XXI project on Religions, Education, and Citizenship. He has directed the Master’s and Bachelor’s programs in Religious Studies and serves as a Director of Advanced Islamic Leadership Training and Editorial Director of Lusófona University’s publications. His work bridges interreligious dialogue , state-religion relations , and cultural heritage projects with institutions like the Presidency of the Republic Museum and Calouste Gulbenkian Foundation . Education: PhD in Cultural Studies (University of Aveiro, 2021), Master’s in Pre-Classical History and Culture (University of Lisbon, 2001), Bachelor’s in History (University of Lisbon, 1997). His research focuses on religious freedom in Portugal, Jewish heritage , Islamic patrimony , and education for sustainability in museums and libraries. Through projects like MUBIESUS and Database of Islamic Heritage in Portugal , he explores intersections of critical pedagogy , environmental justice , and cultural diversity . His recent articles analyze symbolism in religious rituals , urban spirituality , and political uses of religious discourse . He is actively involved in public science initiatives, collaborating with the European Academy of Religions (founded in 2017) and the World Parliament of Religions (Ambassador, 2015–2018). No formal awards are listed, but his leadership in projects like the Mapping of the Neves e Sousa Collection and Community Engagement Against Radicalization underscores his institutional impact.

Mihalis Yannakakisمشاهده پروفایل

استاد

• Design and analysis of algorithms
• Complexity theory
• Combinatorial optimization
• +۴ مورد دیگر

Mihalis Yannakakis is the Percy K. and Vida L. W. Hudson Professor of Computer Science at Columbia University. His career spans prestigious institutions including Bell Labs Research, Avaya Labs, and Stanford University. Education National Technical University of Athens (Diploma in Electrical Engineering, 1975) Princeton University (PhD in Computer Science, 1979) Research Interests Design and analysis of algorithms Complexity theory Combinatorial optimization Game theory Databases Modeling, verification, and testing of reactive systems Contact Information Department of Computer Science, Columbia University 455 Computer Science Building, 1214 Amsterdam Avenue, Mail Code 0401, New York, NY 10027 Phone: 212-939-7145 Email: mihalis@cs.columbia.edu

Andrew O. Arnoldمشاهده پروفایل

استاد مدعو

• Machine Learning
• Natural Language Processing
• Quantitative Trading
• +۵ مورد دیگر

Andrew O. Arnold is a Principal Applied Machine Learning Engineer at Shopify and an Adjunct Professor at New York University's Tandon School of Engineering, Department of Finance and Risk Engineering. He earned his Ph.D. in Machine Learning from Carnegie Mellon University and a BA in Computer Science and Artificial Intelligence from Columbia University. Education Ph.D., Machine Learning, Carnegie Mellon University BA, Computer Science and Artificial Intelligence, Columbia University His research focuses on robust machine learning , developing models that perform well in low signal-to-noise regimes, handle distributional shifts (transfer learning), and extract features from unstructured data. Key applications include time series analysis and natural language processing in financial and other domains. Recent publications highlight work on large language models (LLMs) for code generation, including multitask pretraining, contrastive learning, and quantization techniques for efficiency. He has contributed to understanding model robustness and adapting NLP methods to dynamic market conditions. Arnold teaches NYU FRE GY 7871: News Analytics and Machine Learning , covering NLP and ML techniques for quantitative trading strategies. The course emphasizes practical applications of sentiment analysis, text relevance, and novelty detection in financial contexts. He has led teams at Amazon Web Services (AI Labs), served as Chief Scientist at Oracle Alpha, and worked at Microsoft Research, IBM Research, and other institutions. His technical expertise spans code generation , anomaly detection , and NLP for commerce , with patents in these areas.