جست‌وجوی استاد و پژوهشگر

Zaman Noorمشاهده پروفایل

مدرس ارشد

• Distributed Systems
• Large Scale Computation
• Big Data Analytics
• +۷ مورد دیگر

Zaman Noor is a Senior Lecturer in the Department of Computer Science and Engineering at The University of Texas at Arlington (UTA), where he has been serving since September 2022. He previously held an Adjunct Professor role at the same institution from January to August 2022 and was a Lecturer at Port City International University from 2015 to 2016. PhD in Computer Science, The University of Texas at Arlington, 2021 BS in Computer Science, Chittagong University of Engineering, 2019 His research focuses on Distributed Systems , Large Scale Computation , and Big Data Analytics , with an emphasis on optimizing array-based programming models for distributed environments such as Spark SQL. He explores compiler techniques for translating high-level array operations into efficient distributed queries, enabling scalable data analytics. Zaman Noor's publications reveal a strong trend in bridging programming languages with database systems, particularly through the translation of array-based loops and graph programs into optimized SQL-based distributed execution plans. His work intersects computer science, database systems, and high-performance computing, targeting applications in cloud computing, big data management, and machine learning infrastructure. He has received recognition for his research, including the Best Paper Award at IEEE BigData Congress in 2018 . Best Paper Award, IEEE BigData Congress, July 6, 2018 Zaman Noor advises master's students, including Priyank Gupta, and serves on thesis committees. He is actively involved in teaching and curriculum development, offering courses in distributed systems, cloud computing, and algorithms. He also contributes to academic service as a faculty advisor for the Google Developer Student Club and The Cornerstone, and as a member of the Publicity Committee. He leads and participates in educational initiatives and student mentorship, particularly in cloud computing and big data technologies, and supports student research through thesis supervision and committee roles. Zaman Noor is affiliated with research and teaching teams focused on data-intensive systems and distributed computing. His GitHub profile indicates engagement with open-source machine learning frameworks, including contributions to TensorFlow-related repositories, reflecting his interest in practical implementations of large-scale computation.

Pedro Henrique D. Batistaمشاهده پروفایل

پژوهشگر ارشد

• Intellectual Property
• Innovation
• Biotechnology
• +۲ مورد دیگر

Dr. Pedro Henrique D. Batista is a Senior Research Fellow at the Max Planck Institute for Innovation and Competition, specializing in intellectual property law with a focus on innovation, biotechnology, genetic resources, and traditional knowledge. His research addresses regulatory frameworks for biodiversity, patent law reforms, and the intersection of IP with public health and climate change. Education: PhD in Law, Ludwig-Maximilians-Universität München (2013-2024) LL.M., Ludwig-Maximilians-Universität München (2012-2013) Bachelor of Law, University of São Paulo (2006-2011) Research explores the legal challenges of emerging technologies, including CRISPR and digital genetic sequences, and policy solutions for equitable innovation. His work critically examines international agreements like the Nagoya Protocol and TRIPS flexibilities. Publications emphasize regulatory coherence in intellectual property, with recent focus on WIPO reforms, antimicrobial resistance incentives, and climate-related patent frameworks. Articles frequently engage with EU law, Latin American IP systems, and global governance. Awards: Finalist, Best Diploma Thesis Award, University of São Paulo Law School (2011) Coordinates the Smart IP for Latin America Initiative and contributes to international bodies like the CBD Working Group on Digital Sequence Information. Part-time roles included editorship of GRUR International and IIC journals.

Ruben Martinsمشاهده پروفایل

استادیار

• Constraint Programming
• Program Synthesis
• Formal Verification
• +۳ مورد دیگر

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

James Curleyمشاهده پروفایل

دانشیار

• Social Dynamics
• Social Neuroscience
• Social Determinants of Health
• +۴ مورد دیگر

James Curley is an Associate Professor in the Department of Psychology at the University of Texas at Austin, part of the College of Liberal Arts. He is Co-Director of the Behavioral and Social Data Science Major and Principal Investigator of the Social Dynamics Lab. His research focuses on the neurobiological basis of social behavior, social hierarchies, and long-term physiological changes linked to social status. He earned his B.A. from the University of Oxford and a Ph.D. from the University of Cambridge, followed by postdoctoral work at Cambridge before joining Columbia University in 2012. At UT Austin since 2017, he has received awards including the Affordable Education Champion (2021), Dr. Wendy Domjan Excellence in Teaching Award (2021), and President’s Associates Teaching Excellence Award (2022). His teaching includes courses on statistics, R programming, and social behavior analysis. Curley’s lab investigates social dynamics through interdisciplinary approaches, combining behavioral studies with genomic, transcriptomic, and neuroendocrine analyses. He emphasizes open educational resources, co-authoring an open-access textbook for statistics and developing interactive learning tools. His work spans animal and human social systems, exploring how early life experiences shape behavior and how social hierarchy impacts neural and physiological processes. He has published extensively on topics like social dominance, gene expression, and the application of network models to understand social interactions. Teaching highlights include PSY 317L (statistics for behavioral sciences), PSY 120R (R programming), and UGS 302 (Being Social). His commitment to affordable education and innovative pedagogy has been recognized nationally. Research collaborations include studies on primate microbiota, stress vulnerability in depression models, and transgenerational epigenetic effects. He maintains affiliations with platforms like GitHub and Google Scholar, reflecting his embrace of open science principles.

Esfandiar Mohammadiمشاهده پروفایل

دانشیار

• Privacy & security in machine learning
• Differential privacy
• Anonymous communication
• +۱ مورد دیگر

Esfandiar Mohammadi is an Associate Professor at the Institute for IT Security, University of Lübeck, leading the Privacy & Security (PrivSec) group and directing the AnoMed competence cluster. He has held tenured faculty positions since 2019 after postdoctoral research at ETH Zürich (2016-2019) and a PhD at Saarland University (2015). University of Lübeck (2015-present) ETH Zürich (2016-2019) Saarland University (2015) His research focuses on privacy-preserving technologies in machine learning, anonymous communication protocols, and formal verification of security properties. Recent work includes advancements in Mixnet scalability and federated learning with differential privacy guarantees. Key publication trends reveal a strong emphasis on privacy-preserving algorithms for machine learning (2024), cryptographic protocols for anonymous communication (2025), and security analysis of decentralized systems (2023-2025). Collaborations span institutions like ETH Zürich, Saarland University, and industry partners EnergieDock/NAECO Blue for the VeDS project. His group includes 11 researchers (5 PhD students) and software engineers working on topics like Differential Privacy Secure Multi-Party Computation Trusted Execution Environments

• Intellectual Property Law
• Patent Law
• Innovation Policy
• +۶ مورد دیگر

Lisa Larrimore Ouellette is the Deane F. Johnson Professor of Law at Stanford Law School, where she has established herself as a leading scholar in intellectual property law and innovation policy. Her work spans patent law, trademark law, pharmaceutical policy, and the intersection of artificial intelligence with legal frameworks. Professor Ouellette's research focuses on the intersection of law, economics, and innovation. Her scholarship examines how intellectual property systems influence technological development, with particular attention to pharmaceutical innovation, biomedical research, and emerging technologies. She has made significant contributions to understanding patent systems, trademark law, and the policy frameworks governing innovation. Her work often employs empirical methods to analyze real-world impacts of legal rules on innovation incentives and outcomes. Analysis of her recent publications reveals a strong focus on contemporary challenges in intellectual property law, including the impact of artificial intelligence on patent systems, equity in patent inventorship, pharmaceutical pricing mechanisms, and innovation policy responses to public health emergencies like the COVID-19 pandemic. Her work demonstrates a consistent pattern of addressing timely policy questions with rigorous empirical analysis and thoughtful legal reasoning. Professor Ouellette has collaborated extensively with leading scholars in law and economics, including Daniel J. Hemel, Jonathan Masur, Mark Lemley, and others. Her research has been supported by prestigious institutions including the National Bureau of Economic Research (NBER), and she has contributed to numerous policy discussions through amicus briefs and responses to government requests for comments. While specific advising relationships aren't detailed in the available information, her extensive publication record with co-authors suggests active mentorship of junior scholars and students.

Yew San Horمشاهده پروفایل

دانشیار

• Experimental Condensed Matter Physics
• Quantum Materials
• Topological Insulators
• +۳ مورد دیگر

Yew San Hor is an Associate Professor in the Department of Physics at Missouri University of Science and Technology and a Senior Investigator at the Materials Research Center. His research focuses on experimental condensed matter physics, particularly the synthesis and study of quantum materials with potential technological applications. Ph.D. in Physics, Rutgers University (2004) M.Sc. in Physics, Utah State University (1998) Dr. Hor's work centers on crystal growth and characterization of novel materials such as three-dimensional topological insulators, topological superconductors, correlated electron systems, and nanostructured thermoelectric materials. His research bridges fundamental scientific understanding and applied technological innovation. Career Award, National Science Foundation (2012) Missouri S&T Faculty Research Award (2014) Highly Cited Researcher (Clarivate Web of Science, 2014-2020) Top 2% Researcher in Physics (Stanford Database, 2021-2022) As a Senior Investigator at the Materials Research Center, he leads interdisciplinary efforts in quantum materials development. His scientific productivity and impact are evidenced by sustained citations and recognition in physics research communities.

Vassilis Christophidesمشاهده پروفایل

استاد

• Databases
• Web Information Systems
• Big Data Processing
• +۹ مورد دیگر

Vassilis Christophides is a Professor of Computer Science at the University of Crete and holds an advanced research position at Inria Paris, where he leads work in the MiMove team. His research spans databases, web information systems, big data processing, and IoT analytics, with a strong emphasis on entity resolution, data integration, and scalable data mining. He has supervised numerous research projects funded by the European Union and the Greek State, and has published over 130 articles in top-tier conferences and journals. Research Interests: His primary research areas include Databases, Web Information Systems, Big Data Processing and Analytics, and Information Systems for the Internet of Things. He also focuses on entity resolution, knowledge graphs, streaming data, and explainable AI, particularly in the context of anomaly detection and fairness-aware data systems. His recent work explores hybrid attention models for entity alignment and causal analysis in time series classification. Recent Research Trends: Analysis of his recent publications (2021–2025) reveals a strong focus on entity resolution with fairness constraints, explainable anomaly detection, and adaptive scheduling in IoT edge analytics. He also investigates deepfake detection, crop type mapping using satellite data, and structural bias in knowledge graphs, demonstrating a broad and impactful research portfolio at the intersection of data management and machine learning. Scientific Awards: 2004 SIGMOD Test of Time Award Best Paper Award, ISWC 2003 Best Paper Award, ISWC 2007 Advising and Grants: While specific student names are not listed in the provided texts, Christophides has co-authored numerous papers with researchers such as Vasilis Efthymiou, Ioannis Tsamardinos, and Nikolaos Myrtakis, suggesting active mentorship. He has been the scientific coordinator of multiple EU and national research projects, indicating substantial grant leadership and project management experience. Labs and Teams: He is affiliated with the MiMove team at Inria Paris, a research group focused on mobility and data-intensive systems. His work bridges academic and applied research, leveraging Inria’s infrastructure for large-scale data experimentation and innovation in IoT and edge computing environments.

• Phytoremediation
• Contaminated Site Management
• Plant Ecology in Hostile Environments
• +۵ مورد دیگر

Béatrice Gervais-Bergeron is an Associate Professor at the École d'urbanisme et d'architecture de paysage (Faculty of Urban Planning) at Université de Montréal since December 2024. She holds a PhD in Biological Sciences (2024) and a B.Sc. in Environmental Biology (2019) from McGill University. Her research focuses on phytotechnologies, plant ecology in contaminated environments, and functional trait-based solutions for urban resilience. Affiliations: Member of the Institut de recherche en biologie végétale (IRBV) Teaching: APA1130 Ecology and Sustainable Development; APA2130 Plant Ecology Theory and Practice Programs: Architectural, Landscape Architecture, and Sustainable Development programs Her work combines fundamental plant ecology with applied ecological design, particularly in industrial brownfields and ultramafic soils of southern Québec. Current research investigates plant community adaptations in metal-rich soils to improve contaminated site remediation strategies. Key Projects: Phytoremediation techniques for Ministère des Transports soils (2026-2030); Boisé Steinberg urban phytotechnology applications Awards: 2024 Marcelle-Gauvreau Scholarship; 2023 SQP Research Grant Supervision: Currently guiding 4 students across thesis, internships, and directed studies focusing on functional traits, spectral correlations, and urban ecosystem resilience. Labs/Teams: Active member of IRBV, collaborating internationally on hyperaccumulator plant research.

Mateo Valero Cortésمشاهده پروفایل

استاد

• Computer Architecture
• High-Performance Computing
• Parallel Computing
• +۳ مورد دیگر

Mateo Valero Cortés is a renowned Professor of Computer Architecture at the Polytechnic University of Catalonia and Director of the Barcelona Supercomputing Center (BSC). He has held academic and leadership roles since 1974, advancing high-performance computing (HPC) and computer architecture research. His work includes pioneering contributions to vector architectures, multithreading, and instruction-level parallelism. Education includes a Telecommunications Engineering degree from the Polytechnic University of Madrid (1974) and a PhD in Telecommunications Engineering from the Polytechnic University of Catalonia (1980). His research spans over 700 publications, focusing on HPC systems, parallel computing, and supercomputing infrastructure. Key research interests include vector processing, super-scalar processors, and task-based programming models. Recent work emphasizes scalable architectures for exascale computing and energy-efficient hardware-software co-design. Notable achievements include the Eckert-Mauchly Prize (highest in computer architecture), Seymour Cray Award, and Charles Babbage Prize. He has led initiatives like the Spanish Supercomputing Network (RES) and PRACE (European HPC partnership). Academic affiliations include the Royal Academy of Engineering of Spain, ACM Fellow, and IEEE Fellow. He has received 13 honorary doctorates and awards such as Mexico’s Order of the Aztec Eagle. Current projects include the Mont-Blanc HPC prototype and ERC-funded research on multi-core chip design. His BSC oversees over 300 researchers and manages MareNostrum supercomputers.

Jianwen Suمشاهده پروفایل

استاد

• Database Systems
• Formal Verification
• Web Services
• +۵ مورد دیگر

Jianwen Su is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), where he has been since 1990. He holds a Ph.D. in Computer Science from the University of Southern California and B.S./M.S. degrees from Fudan University in China. His research focuses on databases, formal verification, web services, business process management (BPM), and workflow systems. He has contributed to data-centric workflow modeling, artifact-based BPM frameworks, and tools like the Web Service Analysis Tool (WSAT). Adjunct professorships at Peking, Fudan, and Donghua Universities in China. Key roles: General co-chair of ICSOC 2013, PC chair of PODS 2009, and general chair of SIGMOD 2001. Recipient of the 2000 Outstanding Faculty Award (UCSB College of Engineering) and IBM Faculty Awards (2007, 2008). Research spans database query languages, incremental query evaluation, spatial databases, and formal verification techniques for software systems. Current emphasis is on data modeling for workflows and BPM systems.

Wendy Meiringمشاهده پروفایل

استاد

• Statistical Methods for Brain Imaging
• Spatial and Temporal Processes
• Computational Statistics
• +۴ مورد دیگر

Wendy Meiring is a Professor in the Department of Statistics and Applied Probability at the University of California, Santa Barbara. Her research focuses on statistical methods for analyzing complex data in neuroscience, environmental science, and biomedical applications. She specializes in spatial and temporal processes, computational statistics, machine learning, and uncertainty quantification. Her work integrates advanced statistical techniques with real-world challenges, such as analyzing brain imaging data, pharmacokinetic models, and environmental monitoring. She has contributed to methodologies for functional data analysis, clustering-based correlation estimation, and spatial-temporal modeling. Dr. Meiring has published extensively in top journals, including The Journal of Computational and Graphical Statistics , focusing on topics likeFréchet regression, pharmacokinetic modeling, and environmental phenology. Her research bridges theoretical statistics with practical applications in health, neuroscience, and ecology. She collaborates across disciplines, contributing to programs like the Interdepartmental Graduate Program in Dynamical Neuroscience at UCSB. Her lab develops innovative statistical tools for analyzing high-resolution datasets, emphasizing reproducibility and methodological rigor.

João Magalhãesمشاهده پروفایل

استاد

• Vision and Language Understanding
• Multimodal Information Understanding
• Multimodal Conversational AI
• +۵ مورد دیگر

João Magalhães is a Full Professor in the Department of Computer Science at the Faculty of Science and Technology, Universidade NOVA de Lisboa, Portugal. He serves as Group Coordinator of the Multimodal Systems Group at the NOVA Laboratory for Informatics and Computer Science and leads the NOVASearch research group at FCT/UNL. His research focuses on vision and language information understanding, with particular emphasis on multimodal information understanding, multimodal conversational AI, multimedia search and summarization, temporal and memory models, and social media information quality. His work spans both theoretical foundations and practical applications across web, social media, and clinical domains. Analysis of his recent publications reveals a strong trajectory in multimodal conversational AI systems, with increasing sophistication in handling both voice and visual inputs. His research has evolved from foundational work in cross-modal embeddings to advanced large language models for dual-goal conversational settings, demonstrating consistent innovation in the field of multimodal understanding. 1st prize winner of the second Alexa TaskBot Challenge (2023) Award-winning solution in the Alexa TaskBot Challenge (2022) Best paper award at the Portuguese NLP conference (PROPOR) (2020) Best paper nominations at ACM conferences (2018) Professor Magalhães has advised numerous graduate students through the NOVASearch group and has secured substantial research funding through projects including Amazon Alexa TaskBot Challenge (2021-2023), iFetch (2020-2023), SmartyFlow (2017-2020), COGNITUS (2016-2019), GoLocal (2016-2020), QSearch (2012-2015), ImTV (2010-2013), and CS4SE (2010-2013). He actively serves the research community as ACM Multimedia 2026 Program Committee Chair and has held leadership roles in numerous conferences including ACM Multimedia 2022 General Chair and ECIR2020 General Chair. He leads the Multimodal Systems Group within the NOVA Laboratory for Informatics and Computer Science, where his team develops cutting-edge solutions for multimodal understanding with applications in conversational AI, multimedia search, and social media analysis.

Randy Harrisمشاهده پروفایل

استاد

• Rhetoric
• Computational Rhetoric
• Cognitive Linguistics
• +۸ مورد دیگر

Randy Harris is a Professor in the Department of English Language and Literature at the University of Waterloo, with a cross-appointment to the David Cheriton School of Computer Science. His career spans over three decades, focusing on the intersection of rhetoric , cognitive science , and computational linguistics . He holds a PhD in Communication and Rhetoric from Rensselaer Polytechnic Institute, with postdoctoral experience at the University of Alberta. Education : PhD (Rensselaer), MSc (Rensselaer, Alberta), MA (Dalhousie), BA (Queen's) Research Interests : Cognitive Rhetoric, Computational Rhetoric, Rhetorical Figures, Construction Grammar, Rhetoric of Science, and Neurocognitive Stylistics. His work explores how rhetorical figures like chiasmus and antimetabole reflect brain structure and cognitive processing. Recent projects involve building the Rhetoricon , a collocational database of rhetorical figures, and investigating their role in large language models . He has received numerous awards, including the University of Waterloo Arts Award for Excellence in Research (2023) and Fellow of the Royal Society of Canada (2022) . Harris has supervised graduate students in professional communication , linguistics , and science writing . His grants include NSERC Discovery Horizon (2024-2029) and multiple SSHRC grants for Computational Rhetoric and Rhetorical Figure Ontology . He actively organizes interdisciplinary workshops like Computing Figures and contributes to media discussions on language, AI, and rhetoric.

Anjala S. Krishenمشاهده پروفایل

استاد

• Marketing
• Advertising
• Consumer Decision-Making
• +۷ مورد دیگر

Anjala S. Krishen is a Professor and Chair of Marketing & International Business at the Lee Business School, University of Nevada, Las Vegas (UNLV). She serves as Interim Dean of the Lee Business School and was appointed as Associate Dean of Executive Education and Corporate Engagement in 2025. Her research bridges marketing, consumer behavior, and analytics, with a focus on decision-making in complex environments, e-marketing, and social networking. B.A., Anthropology, Rice University B.S., Electrical Engineering, Rice University M.B.A., Virginia Polytechnic Institute M.S., Marketing, Virginia Polytechnic Institute Ph.D., Marketing, Virginia Polytechnic Institute Her research explores heuristics in consumer decision-making, AI and data-driven marketing, sustainability, and the impact of social media on behavior. She has pioneered theories on oppositional frameworks in decision-making and the role of contrast in simplifying choices. Recent publications highlight trends in marketing analytics, AI-human collaboration, sustainable practices, and social media’s influence on consumption. These works span disciplines such as computer science, environmental studies, and psychology. Notable awards include: UNLV Foundation’s Distinguished Teaching Award (2015) Barrick Scholar Award (2016) Faculty Opportunity Awards (2014, 2016) Krishen teaches marketing research, consumer behavior, and internet marketing at both undergraduate and graduate levels. She has also delivered a TEDx talk on oppositional thinking in decision-making and is a marathoner with a Taekwondo black belt.