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Carlisle RaineyView profile

Associate Professor

• Political Methodology
• Quantitative Methods
• Political Science
• +3 more

Carlisle Rainey is an Associate Professor in the Department of Political Science at Florida State University (FSU), where he also serves as Director of the Research Intensive Bachelor’s Certificate Program. He holds a Ph.D. in Political Science from FSU (2013) and an M.S. in Mathematical Statistics (2012) and Political Science (2009). Prior to FSU, he was an Assistant Professor at Texas A&M University (2015–2018) and the University at Buffalo, SUNY (2013–2015). His research focuses on political methodology, Bayesian and computational methods, and statistical inference. Notable contributions include work on logistic regression separation, equivalence testing, and research transparency. He teaches courses in quantitative methods, political methodology, and American/Comparative Politics. Rainey’s publications appear in top journals like the American Political Science Review, American Journal of Political Science, and Political Analysis. His recent work emphasizes statistical power analysis, data availability practices, and experimental design. Active in academic service, he chairs the Political Methodology section for the 2026 APSA conference and serves on NSF review panels.

Alastair F. DonaldsonView profile

Professor

• Programming Languages
• Compilers
• Verification
• +5 more

Alastair F. Donaldson is a Professor in the Department of Computing at Imperial College London, where he leads the Multicore Programming Group. His academic career spans positions as a Visiting Researcher at Microsoft Research Redmond, a Postdoctoral Research Fellow at the University of Oxford, a Research Engineer at Codeplay Software Ltd., and PhD studies at the University of Glasgow. Notably, he served as Director of GraphicsFuzz, an Imperial College spinout acquired by Google in 2018, demonstrating significant industry impact from his academic research. Donaldson's research focuses on Programming Languages, Compilers, Verification, Testing, and Multicore Programming, with particular expertise in randomized testing methodologies for compilers and program analyzers. His work bridges theoretical computer science with practical software engineering applications, developing innovative techniques like metamorphic testing for graphics shader compilers and systematic approaches for testing memory persistency models. His research output shows consistent progression toward increasingly sophisticated testing frameworks for verification-aware languages and GPU programming interfaces. Analysis of his 15 most recent publications reveals a strong trend toward applying fuzzing and randomized testing techniques to increasingly complex systems, including zero-knowledge proof circuits, large language models for code generation, and WebGPU APIs. His work consistently addresses the challenge of verifying correctness in systems where traditional testing approaches fall short, with growing emphasis on industrial deployment of compiler testing techniques. Throughout his career, Donaldson has maintained exceptional service to the academic community, serving on program committees and as chair for numerous prestigious conferences including SPLASH, PLDI, POPL, ECOOP, and ISSTA. His leadership roles have included Program Chair for ECOOP and General Chair for PLDI, reflecting his standing within the programming languages research community. As an advisor and mentor, Donaldson has contributed to the PLMW (Programming Languages Mentoring Workshop) with talks on 'The Lean Researcher' and 'Hacks to Compensate for Lack of Novelty in Programming Languages Research,' demonstrating his commitment to nurturing the next generation of researchers. His work on integrating compiler fuzzing into continuous integration pipelines represents significant practical impact on software development practices.

William J. AcevesView profile

Professor

• International Human Rights Law
• Constitutional Law
• Critical Race Theory
• +5 more

William J. Aceves serves as Professor of Law at California Western School of Law, holding the Chief Justice Roger Traynor Professorship. His distinguished career spans over 25 years since joining the faculty in 1998, with promotion to full professor in 2001 and service as Vice Dean for Academic Affairs from 2007-2014. His educational background includes: LLM in International Law, UCLA School of Law JD and MA in International Relations, University of Southern California MA in Government, Harvard University BA, Claremont McKenna College A leading scholar in international human rights law, Aceves focuses on constitutional law, critical race theory, and war on terror accountability. His research bridges legal theory with practical human rights advocacy, examining how international law applies domestically through transnational litigation and social movements. His work frequently analyzes constitutional racism, torture accountability, and civil rights enforcement mechanisms. His recent publications demonstrate consistent scholarly output with emerging themes in reproductive rights jurisprudence, digital civil rights, and constitutional amendment theory. The articles reveal deep engagement with contemporary legal crises including the Dobbs decision, Russian election interference, and structural racism in American law. Key professional recognitions include: Ford Foundation Fellow in International Law Member of the American Law Institute Vice President of the American Branch of the International Law Association Aceves maintains active involvement in human rights advocacy as co-chair of major international law conferences and through representation of organizations like Amnesty International and ACLU before federal courts. He serves on multiple organizational boards including the Center for Justice & Accountability and ACLU, while maintaining active litigation before international bodies like the Inter-American Commission on Human Rights. His teaching encompasses Constitutional Law, International Law, Human Rights Law, and Critical Race Theory, reflecting his interdisciplinary approach to legal education.

Azniv Kirkor KasparianView profile

Professor

• Algebraic Geometry
• Hodge Theory
• Ball Quotients
• +3 more

Azniv Kirkor Kasparian is a Professor in the Department of Algebra at the Faculty of Mathematics and Informatics, Sofia University. She holds a PhD from the University of Utah (1993) and has been with the university since 1989, progressing from Assistant to her current position as Professor since 2012. Her office is located in room FMI-529, and she can be reached at +359 2 8161 710. Her educational background includes an MSc in Mathematics from the Faculty of Mathematics and Mechanics at Sofia University 'Kliment Ohridski' (1984) followed by a PhD from the University of Utah in Salt Lake City (1993). Her academic career at Sofia University has been continuous, starting as an Assistant (1989-1995), then Senior Assistant (1995-1997), Chief Assistant (1997-2001), Associate Professor (2001-2012), and finally Professor (2012-present). Professor Kasparian's primary research focus is in Algebraic Geometry, with significant contributions to Hodge Theory, Ball Quotients, and Coding Theory. Her work bridges pure mathematics with applications in coding theory, exploring connections between algebraic structures and geometric properties. She has developed expertise in variations of Hodge structure, modular forms, and the geometry of ball quotients, often examining their arithmetic properties and connections to finite fields. Her publication record shows consistent output over three decades, with recent work focusing on the intersection of algebraic geometry with coding theory. The trends in her research demonstrate a progression from foundational work in Hodge theory and Calabi-Yau manifolds to more recent applications in coding theory, particularly examining MacWilliams identities, tangent codes, and Duursma's reduced polynomial through the lens of algebraic geometry. Professor Kasparian has supervised at least two Master's students to completion: Lyubinka Nikolova (2010) who worked on 'Factors of the ball, covered by abelian surfaces' and Pancho Beshkov (2015) who researched 'Non-associative operations on variations of Hodge structure'. Her teaching responsibilities include core algebra courses such as Algebra I, Algebra II, Linear Algebra, and Higher Algebra, as well as specialized electives including Commutative Algebra, Cryptography, Coding Theory, Galois Theory, Group Theory, and Introduction to Number Theory.

• Error Control Coding
• Information Theory
• 6G Wireless Networks
• +4 more

Chentao Yue is a Research Fellow at the School of Electrical and Computer Engineering, University of Sydney. He holds a BSc in Information Engineering (Honors) from Southeast University (2017) and a PhD in Electrical Engineering from the University of Sydney (2021). His research focuses on developing foundational theories and AI-driven techniques for 6G wireless networks, specifically targeting ultra-reliable low-latency communication through advanced error control coding. Research Interests: Dr. Yue's work bridges information theory, machine learning, and telecommunications. Key areas include intelligent channel coding/decoding for 6G, sparse vector transmission, NOMA systems, and distributed consensus protocols. His DECRA-funded project aims to create self-configurable coding frameworks adaptable to dynamic 6G environments. Publication Trends: Recent articles emphasize optimizing short block-length codes for 6G URLLC, integrating Bayesian neural networks with modulation techniques, and refining ordered-statistics decoding (OSD) algorithms. Machine learning applications in signal prediction and distributed ledger technologies are emerging themes. Awards: ARC Discovery Early Career Researcher Award (DECRA, 2024) Postgraduate Scholarship in Wireless Engineering Grants: Leads the ARC DECRA project (2024): "Intelligent self-configurable coding and decoding for 6G wireless networks," focusing on real-time adaptive error correction for industrial automation and telemedicine.

Randy FlanaganView profile

Professor

• Motor Control
• Cognitive Neuroscience
• Sensorimotor Adaptation
• +3 more

Randy Flanagan is a Professor in the Department of Psychology at Queen’s University. His academic career spans over three decades, with degrees including a B.P.E. (1983) from the University of Alberta, an M.A. (1986), and a Ph.D. (1992) from McGill University. His research focuses on understanding the cognitive and computational processes underlying movement control and learning, particularly in areas such as eye-hand coordination, object manipulation, and sensory-motor adaptation. He leads the Cognition and Action Lab, which employs tools like virtual reality to investigate how humans integrate sensory input and motor output during complex tasks. His work bridges neuroscience and psychology, with a focus on linking action and perception. Key themes include the neural mechanisms of sensorimotor adaptation, decision-making in motor planning, and the role of gaze behavior in action control. His most recent publications (2020–2024) emphasize studies on cerebellar-cortical dynamics, manifold structures in motor learning, and the impact of reward systems on adaptive behaviors. Despite his prolific output, no specific grants or awards are explicitly mentioned in the provided text. Flanagan’s lab collaborations include researchers like J. P. Gallivan and Daniel Wolpert, exploring topics such as neural connectivity during motor tasks and the computational models of sensorimotor integration. His research underscores the interplay between perception and action, contributing to both fundamental neuroscience and potential applications in robotics and rehabilitation.

• Inverse Problems
• Partial Differential Equations
• Applied Mathematics
• +3 more

David Johansson is a Researcher in the Department of Mathematics and Statistics at the University of Jyväskylä, affiliated with the Faculty of Mathematics and Science. He is part of the Inverse Problems research group, which focuses on mathematical theory and practical implementation of indirect measurements. His work spans theoretical and applied mathematics, with a focus on inverse problems, partial differential equations, and computational methods. Research interests include inverse problems for PDEs, corrosion detection via boundary condition analysis, and parameter identification in heterogeneous media. He has also contributed to network optimization, including energy-efficient virtual network function placement and robustness strategies in telecommunications. His earlier work includes contributions to coding theory using graph-based approaches and Galois fields. Publications highlight interdisciplinary applications of mathematics, bridging pure and applied domains. No scientific awards are explicitly mentioned, but his active research output reflects sustained contributions to these fields. His position involves collaborative research within the Inverse Problems group and academic outreach through publications.

Ning ZhangView profile

Professor

• Edge Computing
• Internet of Vehicles (IoV)
• Cybersecurity
• +7 more

Prof. Ning Zhang is a tenured Professor in the Department of Electrical and Computer Engineering at the University of Windsor's Faculty of Engineering. He holds a Tier 2 Canada Research Chair in Edge Computing and the Internet of Vehicles (since 2022) and has been recognized as a 2024 Clarivate Highly Cited Researcher. His research focuses on edge computing, vehicular networks, cybersecurity, federated learning, and 6G systems. He is affiliated with the Centre for Engineering Innovation, where cutting-edge labs were recently established under his leadership. Dr. Zhang's academic achievements include membership in the Royal Society of Canada's College of New Scholars (2024) and the IEEE Rising Star Award (2021). His work bridges theoretical innovations with practical applications in autonomous systems, digital twin technology, and metaverse infrastructure. He advises students like Pegah Mansourian and Mina Zamanirafe, whose research on automotive cybersecurity won international acclaim. His lab explores edge computing optimizations for low-light video analytics, federated learning frameworks, and secure vehicular communication systems. Key Research Themes: V2X security, digital twins, 6G edge infrastructures, AI-driven network optimization Lab Affiliations: Centre for Engineering Innovation Grants: Canada Research Chairs Program funding, NSERC grants (implied via research outputs)

Nuno FachadaView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Modeling and Simulation
• +4 more

Nuno Fachada is an Assistant Professor at Lusófona University's School of Communication, Arts and Information (ECATI) and a researcher at COPELABS (Cognitive and People-centric Computing). He teaches Programming and AI in the Videogames Bachelor's program and Research Software in the Informatics PhD program, with research spanning Artificial Intelligence, Machine Learning, Modeling and Simulation, High Performance Computing, and Computer Science Education. His work integrates computational methods with applications in game development, wildfire management, and networking. Education: Bachelor's degree in Electrical and Computer Engineering from IST (2005) Master's degree in Electrical and Computer Engineering from IST (2008), focusing on immune system simulation PhD in Electrical and Computer Engineering from IST (2016) with thesis 'Agent-Based Modeling on High Performance Computing Architectures', awarded 'Pass with Distinction and Honour' Research interests emphasize Agent-Based Modeling for complex systems like wildfires and immune responses, Particle Swarm Optimization algorithms, and OpenCL for parallel computing. He develops educational tools for game development curricula and applies AI to environmental monitoring and wireless networks, with strong output in simulation frameworks and human-centric computing. Recent publications (2024-2025) reveal three dominant trends: wildfire modeling using satellite data and agent-based approaches, large language models for engineering code generation (e.g., LoRaWAN), and game AI for procedural content and rehabilitation. His work bridges theoretical computer science with practical applications in environmental science and healthcare, while maintaining focus on education through tools like TextCL and cf4ocl. Scientific Awards: No scientific awards, fellowships, or medals were mentioned in the provided text Advising and Grants: Fachada serves as a researcher in ILIND-funded projects, notably the 'Cybersecurity Awareness Training Simulator' (2024-2025) with six collaborators. He supervises PhD students in Informatics but specific advisees aren't listed. His grant activity primarily involves institutional projects through Lusófona University's research center, with emphasis on simulation-based tools for real-world applications. Labs and Teams: He is a core researcher at COPELABS, focusing on cognitive and people-centric computing projects including wildfire simulation and cybersecurity training. Prior to Lusófona, he conducted postdoctoral work at LaSEEB/ISR (Institute for Systems and Robotics), maintaining connections to IST. His team collaborations span international researchers in environmental modeling and AI, with recent projects involving Portuguese and European institutions.

• Network Coding
• Information Theory
• Wireless Networks
• +3 more

Muriel Medard is the NEC Professor of Software Science and Engineering in the Electrical Engineering and Computer Science (EECS) Department at MIT. She leads the Network Coding and Reliable Communications Group in the Research Laboratory for Electronics. Affiliated with MIT since her undergraduate studies (B.S. EECS 1989, Mathematics 1989, Humanities 1991), she also holds an M.S. (1991) and Sc.D. (1995) from MIT. She is a member of the U.S. National Academy of Engineering (2020), German National Academy of Sciences Leopoldina (2022), Fellow of the National Academy of Inventors (2018), and multiple other prestigious societies. Her research focuses on network coding, information theory, wireless networks, and optical networking. Notable contributions include foundational work in network coding protocols, error correction, and secure communication systems. Medard has pioneered algorithms like GRAND (Guessing Random Additive Noise Decoding) and ORBGRAND, which optimize decoding efficiency and energy consumption in communication systems. Medard’s honors include the IEEE Kobayashi Computers and Communications Award (2022), IEEE Armstrong Achievement Award (2017), and MIT’s Egerton Award (2004). She has over 60 patents, co-founded CodeOn and Steinwurf (as Chief Scientist), and supervised over 40 master’s, 20 doctoral students, and 25 postdocs. She chairs the IEEE Transactions on Information Theory and has held leadership roles in the IEEE Information Theory Society. Her service contributions include founding the Women in Information Theory Society (WithITS), mentoring initiatives, and roles on MIT’s Faculty Committees on Student Life and Campus Planning. Medard’s work bridges theoretical advancements with practical applications in 5G/6G systems, cybersecurity, and energy-efficient hardware.

• Information Theory
• Coding Theory
• Signal Processing
• +3 more

Ingemar Ragnemalm is an Associate Professor at the Department of Electrical Engineering (ISY), Linköping University, affiliated with the Information Coding (ICG) research group within the Faculty of Science and Engineering. His work is centered on theoretical and applied aspects of information and coding theory. The research interests of Ingemar Ragnemalm include information theory, coding theory, signal processing, and digital communications. These areas are critical for reliable data transmission and storage systems, particularly in noisy environments. His affiliation with the Information Coding group suggests a strong focus on error-correcting codes and efficient data representation. No recent publications were listed in the available university search results, so trends in publication output cannot be determined at this time. No scientific awards or honors were mentioned in the available data. There is no publicly available information regarding student supervision, research grants, or advising roles. Similarly, details about laboratories, research teams, or collaborative projects are not accessible through the current university portal entries.

Ergün YaraneriView profile

Associate Professor

• Group Theory
• Module Theory
• Graph Theory
• +3 more

Ergün Yaraneri serves as a Docent (Associate Professor) in the Department of Mathematics Engineering at Istanbul Technical University, Turkey. His academic profile includes 13 research publications since 2006, an h-index of 4 according to Scopus, and 81 total citations. He maintains active research output with publications in 2023-2024 and recently completed an SRP project on error-correcting codes over finite rings. Yaraneri's research bridges algebraic structures and combinatorial mathematics, with significant contributions to intersection graph theory for groups and modules. His work investigates properties like planarity and isomorphism in finite group graphs while extending coding theory to non-field algebraic structures such as $$F_q \times (F_q + v F_q)$$. Key publications analyze modules with finitely many submodules and establish MacWilliams identities for novel ring-based linear codes. Publication trends reveal evolving research focus: foundational work (2013-2017) established combinatorial frameworks for group/module intersection graphs, while recent outputs (2023-2024) pioneer coding theory applications over specialized finite rings. This progression demonstrates consistent theoretical innovation with practical implications for error-correcting code design. He has supervised 6 students throughout his career and led the 2023-2024 research project "Fq x Fq + vFq Halkası Üzerinde Hata Düzelten Kodlar" (Error-Correcting Codes over $$F_q \times (F_q + v F_q)$$ Ring), funded as an SRP initiative through Istanbul Technical University's research office.

Stéphane CoulombeView profile

Professor

• Video Processing
• Video Compression
• Immersive Video
• +4 more

Stéphane Coulombe is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ÉTS). He holds a B.Eng. from Polytechnique Montréal and a Ph.D. from INRS Telecommunications. His research focuses on video processing, compression, immersive video systems, and reliable video transmission. He co-leads the Summit Tech Research Chair in Immersive and Interactive Video, aiming to advance immersive video technologies through compression optimization, AI integration, and low-latency transmission methods. Key collaborations include the LABMULTIMEDIA and SYNCHROMÉDIA research laboratories. Research interests span video quality assessment, error correction, and real-time video delivery. Notable achievements include the 2012 Best Paper Award and the 1997 Director General’s Award of Excellence. He has advised numerous doctoral and master’s students, contributing to breakthroughs in HEVC transcoding, deep learning-based error correction, and immersive video standards. Publications highlight advancements in no-reference quality metrics, CRC-based error correction, and 360-degree video compression. Over 50 patents reflect his work on video encoding, transcoding systems, and adaptive multimedia messaging. Current projects address MPEG immersive video standards, VR streaming, and AI-driven video analytics.

Joachim SchäferView profile

Researcher

• German as a Second Language
• Writing Processes
• Multilingual Education
• +3 more

Joachim Schäfer , born in 1970, is a dedicated academic staff member at the Institute for German Language and Literature at the University of Education Ludwigsburg . Holding a Diploma in Education (2002) and a PhD in Education (2024), he specializes in German as a Second Language (DaZ), Writing Processes , and Multilingual Education . Co-developer of competency grids for writing assessment Coordinator of writing consultations since 2012 Deputy head of Language Didactics Center since 2015 Former head of German Department (2015-2016) Research Focus : His work investigates text production differences between monolingual and multilingual students, emphasizing text quality indicators , narrative development , and language acquisition in lower secondary education. He employs frameworks from Grießhaber (2017), Augst et al. (2007), and Grünke et al. (2017) to analyze writing competence and multilingual challenges. Scientific Awards : Hans Böckler Foundation Scholarship (1995-1998) Notable Contributions : He pioneered process-oriented writing assessment through the "Reading, evaluating and writing texts" examination task, supported development of peer-tutoring graphic organizing strategies for students with learning disabilities, and created multilingual writing diagnostic tools like the "gezinkte Bildpaarspiel" (2011).

• Finite Geometry
• Projective Spaces
• Combinatorial Designs
• +3 more

Francesco Pavese is an Associate Professor of Geometry at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research primarily focuses on finite geometry, combinatorial structures, and their applications to coding theory. His research interests include: Finite projective and polar spaces Strongly regular graphs and geometric constructions Blocking sets and special configurations in finite geometries Subspace codes and network coding applications Combinatorial designs and q-analogs Arcs, ovoids, and m-ovoids in projective spaces Professor Pavese's recent work demonstrates a consistent focus on the interplay between geometric structures and combinatorial properties in finite settings. His research often explores connections between classical geometric objects and their applications in coding theory, with particular attention to structures in projective spaces over finite fields. His publications reveal expertise in Cameron-Liebler line classes, intriguing sets of strongly regular graphs, and the geometry of Hermitian varieties. His scholarly output shows significant contributions to geometric combinatorics, with recent work exploring q-analogs of design structures, properties of special sets in projective spaces, and connections between geometric objects and strongly regular graphs. The trend in his research indicates growing interest in modular properties of geometric structures and their applications to coding theory. Professor Pavese maintains an active research program with numerous publications appearing in leading mathematics journals specializing in finite geometry and combinatorial mathematics.