جست‌وجوی استاد و پژوهشگر

Md Golam Rosulمشاهده پروفایل

استادیار

• Computational Material Science
• Solid-State Thermoelectric Devices
• Thermionic Energy Conversion
• +۳ مورد دیگر

Md Golam Rosul is an Assistant Professor of Engineering at Sweet Briar College. He holds a B.S. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2015) and a Ph.D. in Electrical Engineering from the University of Virginia (2022). His research focuses on computational material science, solid-state thermoelectric devices, and thermionic energy conversion, with emphasis on semiconductor physics and material properties analysis. He teaches courses such as Foundations of Engineering Analysis, MATLAB Programming, Electrical Circuits, and Semiconductor Physics/Devices. His work explores advanced materials for energy applications, including layered materials like MoSe₂, NbSe₂, and WSe₂, investigating their thermal and electronic transport properties. Recent publications highlight studies on low-resistance contacts in thermionic devices, electron-phonon interactions in bulk materials, and Seebeck coefficient analysis of electrodeposited films. His research bridges computational modeling with experimental validation, aiming to optimize thermoelectric and thermionic systems for energy efficiency. Notable contributions include investigations into gold-graphene heterostructures for thermionic transport and the thermoelectric properties of holey silicon. He collaborates with institutions such as the University of Virginia and international teams on interdisciplinary material science projects.

Greg Songمشاهده پروفایل

استادیار

• Media Literacy
• Strategic Communication
• Digital Communication
• +۷ مورد دیگر

Greg Song is an Assistant Professor in the Emerging Media program at the University of St. Thomas' College of Arts and Sciences. He teaches courses including Intro to Mass Media , Media Literacy , and Principles of Strategic Communication , focusing on media's societal impact and digital communication practices. His research spans media literacy, strategic communication, and digital ethics. Recent publications explore AI chatbot design, climate change misinformation mitigation, and privacy dynamics in personalized advertising. His work bridges communication theory with emerging technologies. While not explicitly stated, his publications suggest expertise in artificial intelligence , environmental messaging , and consumer digital behavior . Recurring themes include trust in technology , moral foundations in marketing , and social media's cultural influence .

Raihan Ahmedمشاهده پروفایل

مدرس ارشد

• Computer Science
• Database Systems
• Software Development
• +۳ مورد دیگر

Raihan Ahmed is a Senior Lecturer in Computer Science at the School of Computing, Analytics, and Modeling within the Dr. Perry College of Mathematics, Computing, and Sciences at the University of West Georgia. He holds an M.S. in Applied Computer Science from the same university (2006) and a B.S. in Computer Science from the State University of West Georgia (2001). His teaching focuses on foundational and advanced computer science topics, including databases, programming principles, mobile development, system administration, and user-centric computing. He has taught courses such as COMP-4200 Advanced Database Systems , CS-6232 Database Systems II , and COMP-3310 Mobile Development . Raihan's scholarly work includes research on user interface navigation strategies and image processing techniques for banknote feature extraction. His courses emphasize practical computing skills, web development, and systems programming. He maintains active course sections across multiple semesters, including Fall 2025 through Fall 2022. Office hours are held in person and online, with schedules updated regularly.

Carl F. Craverمشاهده پروفایل

استاد

• Philosophy of Science
• Philosophy of Mind
• History of Neuroscience
• +۳ مورد دیگر

Carl F. Craver is a Professor of Philosophy and Philosophy-Neuroscience-Psychology at Washington University. He holds a PhD from the University of Pittsburgh and specializes in philosophy of neuroscience, philosophy of science, and history of biology. His work focuses on mechanistic explanation in neuroscience and the integration of interdisciplinary scientific practices. Affiliations: Philosophy-Neuroscience-Psychology Program, Department of Philosophy Research interests include mechanisms in neuroscience, psychiatric genetics, and neuropsychology. Notable collaborations involve studies on episodic amnesia with Shayna Rosenbaum and psychiatric genetics with Kenneth Kendler. Key publications include Explaining the Brain (2007) and In Search of Mechanisms (2013), which establish frameworks for understanding scientific explanation and discovery. Recent articles explore ventromedial prefrontal cortex functions, coherence in GWAS, and episodic memory’s role in decision-making. His work bridges philosophy with empirical science, emphasizing causal mechanisms and hierarchical organization in biological systems. Collaborations span clinical, genetic, and cognitive domains, reflecting interdisciplinary engagement. Advising and grant work include projects on memory disorders and psychiatric genetics. Labs/teams include partnerships with York University and Virginia Commonwealth University, focusing on hippocampal dysfunction and genetic mechanisms.

Thomas Icardمشاهده پروفایل

استاد

• Cognitive Science
• Formal Philosophy
• Logic
• +۵ مورد دیگر

Thomas Icard is the Clarence Irving Lewis Professor of Philosophy and Professor of Computer Science (by courtesy) at Stanford University, holding a primary appointment in the Department of Philosophy with secondary affiliation in Computer Science. His research integrates Cognitive Science, Formal Philosophy, and Logic to investigate resource-bounded rationality, causal inference mechanisms, and probabilistic reasoning under computational constraints. He examines how agents form causal models and make decisions when faced with limited cognitive resources, bridging philosophical foundations with empirical cognitive science and AI applications. Recent publications reveal strong interdisciplinary trends across philosophy, computer science, and psychology, with emphasis on causal abstraction for interpretable AI systems, quantitative-qualitative reasoning divides, and theoretical foundations of generative models. His work consistently connects formal logical frameworks with experimental validation in human cognition. Professor Icard has mentored fifteen advanced students across Philosophy, Symbolic Systems, Computer Science, and Linguistics, including Krzysztof Mierzewski (2020), Declan Thompson (2023), Cristina Ceballos (2023), Duligur Ibeling (2024), and Atticus Geiger (2024), demonstrating exceptional cross-departmental supervision capacity in both doctoral and master's programs.

Robert Berwickمشاهده پروفایل

استاد

• Computational Linguistics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Robert Berwick is a Professor of Computer Science and Engineering and Computational Linguistics at MIT, affiliated with the departments of Electrical Engineering and Computer Science (EECS), as well as the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He holds a joint appointment in the MIT School of Engineering and is an active member of the AI+D initiative. His research focuses on computational models of language acquisition, syntax, and evolutionary linguistics, integrating machine learning, formal grammatical theory, and dynamical systems. Berwick has been a key figure in exploring the biological and evolutionary foundations of human language, particularly through comparative studies with birdsong. He is also a co-founder and former director of MIT's Center for Biological and Computational Learning. Education details are not explicitly provided, but his academic career at MIT spans decades with notable contributions across computational linguistics, AI, and cognitive science. Berwick has received prestigious awards including the Guggenheim Fellowship and MIT's Edgerton Award. His work bridges theoretical linguistics with computational methods, emphasizing algebraic models of syntax and the limits of deep learning in capturing human language structure. He teaches courses on natural language processing and evolutionary biology, reflecting his interdisciplinary approach to language research. Current projects include investigating Hopf algebra frameworks for syntactic analysis and phylogenetic modeling of language evolution. Research interests span formal syntax, computational models of grammar acquisition, and the integration of cognitive science with AI. His publications emphasize mathematical rigor in linguistic theory and critique neural network approaches that neglect core syntactic principles. Berwick collaborates with biologists and computer scientists to study language origins, arguing that syntax emerged as an evolutionary leap distinct from simpler communication systems. Scientific awards include the John Simon Guggenheim Memorial Award (2017), MIT Edgerton Faculty Achievement Award (2015), and NSF Presidential Young Investigator Award (1985). His work has been featured in peer-reviewed journals and conferences, with notable contributions to the understanding of language evolution and computational linguistics.

Carl Franckمشاهده پروفایل

دانشیار

• Biological Physics
• Experimental Condensed Matter Physics
• Atomic Physics
• +۳ مورد دیگر

Carl Franck is an Associate Professor of Physics at Cornell University, affiliated with the College of Arts and Sciences. He has maintained a continuous faculty position since 1982, progressing from Assistant Professor (1982-1988) to Associate Professor (1988-present), with a Visiting Professorship at the University of Bristol in 1991. His research bridges experimental physics and biological systems, employing quantitative approaches to complex phenomena. Dr. Franck's academic foundation includes: A.B. from Harvard College (1974) Ph.D. from Princeton University (1978) His research program focuses on biological physics and experimental condensed matter physics. Dr. Franck's group has pioneered the application of x-ray techniques to study photon-electron interactions and correlated electron dynamics, while simultaneously exploring microbial collective behavior—particularly Dictyostelium discoideum's transition from unicellular to multicellular life. His laboratory employs microfluidic technology, light scattering experiments, and advanced microscopy to quantify cellular signaling processes and population dynamics. The group has developed innovative automated cell counting systems and specialized equipment for measuring cell growth kinetics, contributing significantly to understanding how cells process information through chemical signaling. Dr. Franck's publication record shows consistent output across two major research domains, with recent work (2020-2022) continuing to advance both x-ray physics and microbial behavior studies. His research demonstrates a distinctive pattern of maintaining parallel investigations in condensed matter and biological physics while identifying common principles of collective behavior across different scales. His scientific contributions have been recognized through membership in the American Physical Society: Member, American Physical Society Dr. Franck has mentored an extensive network of students across multiple generations, currently advising Christopher Donohue, Rowan Hess, Yasmine Meziani, Gwendolyn Parks, and Daren Chen. His former students include Igor Segota, Elijah Bogart, Kayvon Daie, Albert Bae, and numerous undergraduate researchers who have contributed to his work on microbial signaling and condensed matter systems. His mentoring approach emphasizes interdisciplinary collaboration and the development of novel experimental techniques. The Franck Group operates at the physics-biology-engineering interface, maintaining specialized facilities for light scattering experiments and microfluidic research. The laboratory has developed unique methodologies for measuring cell population dynamics at low densities using laser-based detection systems, and continues to explore the quantitative bases of communication and computation in living matter through both experimental and theoretical approaches.

Usman Alimمشاهده پروفایل

دانشیار

• Computer Graphics
• Visualization Techniques
• Volume Rendering
• +۶ مورد دیگر

Usman Alim is an Associate Professor in the Department of Computer Science at the University of Calgary, and Director of the Data Science Program. He holds a dual Bachelor's in Mathematics and Physics from the University of Rochester (2001), an M.Sc. in Computer Science from Rochester Institute of Technology (2007), and a Ph.D. in Computer Science from Simon Fraser University (2012). His research focuses on global illumination, physically-based modeling, and signal processing applications in computer graphics and visualization. He is particularly noted for innovations in volume visualization, VR interfaces, and haptic systems. Key research areas include: Interactive visualization systems for multivariate data Uncertainty visualization in geological and medical datasets Efficient rendering techniques for large-scale datasets Low-code frameworks for data workflow automation Notable achievements include winning the 2019 IEEE SciVis Contest's Best Report Cover and multiple awards in Compute Canada's Visualize This contest. His work bridges theoretical foundations with practical applications in fields like environmental science, healthcare, and urban analytics. Current initiatives include advancing haptic interaction design, developing cloud-deployable medical imaging pipelines, and exploring AI-driven solutions for oil sands analysis. He teaches graduate courses like DATA 601 (Data Visualization) and special topics in computer science, contributing to both academic research and applied data science education.

• Marine Resource Management
• Sustainable Development
• Indigenous Community Engagement
• +۳ مورد دیگر

Chris Milley is an Adjunct Professor in the Marine Affairs Program at Dalhousie University's Faculty of Science. He is also President of NEXUS Coastal Resource Management, a Halifax-based consulting firm. With 30 years of experience, his expertise spans integrated marine resource development, community-based environmental management, and sustainable development in the Caribbean, Central America, and Indigenous communities across Canada. He actively collaborates with international bodies like the United Nations Permanent Forum on Indigenous Issues and UNESCO's Intergovernmental Oceanographic Commission. Education: MSc in Oceanography (Dalhousie University) Graduate of Dalhousie's Marine Affairs Program Research Interests: Focuses on Indigenous community empowerment in resource management, marine policy alignment with science, and sustainable development strategies. Specializes in bridging traditional knowledge systems with modern governance frameworks, particularly in Arctic and coastal regions. Explores legal and policy challenges in implementing Indigenous rights within fisheries and marine spatial planning. Article Trends: His publications emphasize Indigenous rights implementation, ocean policy reform, and community-driven resource management. The 2024 work on Nunavut Inuit seal markets exemplifies his commitment to culturally grounded economic development. Earlier writings (2001-2007) established foundational analysis of Aboriginal fishing rights in Atlantic Canada. Grants & Advising: Extensive experience coordinating international development projects, though specific grants are not detailed. Advises on projects involving UN agencies and NGOs, focusing on capacity-building in coastal communities. Labs/Teams: Leads NEXUS Coastal Resource Management, providing technical expertise to governments and Indigenous organizations. Collaborates with Dalhousie's Marine Affairs Program to mentor students in policy and fieldwork methodologies.

Simon Toddمشاهده پروفایل

استادیار

• Computational Linguistics
• Psycholinguistics
• Corpus Linguistics
• +۴ مورد دیگر

Simon Todd is an Assistant Professor in the Department of Linguistics at the University of California, Santa Barbara (UCSB), with affiliations in Computer Science, Cognitive Science, and Quantitative Methods in the Social Sciences. He directs the Computational Psycholinguistics of Listening and Speaking (CPLS) Lab and co-leads the CEILing research group. His research focuses on speech perception's cognitive processes and their long-term linguistic implications, combining computational modeling, experiments, and corpus analysis. He also investigates phonology-morphology interactions. Education: PhD in Linguistics from Stanford University (2019), advised by Dan Jurafsky and Meghan Sumner. Previously completed a BA(Hons) in Mathematics and Linguistics at the University of Canterbury (2012), followed by a postdoc at the New Zealand Institute of Language, Brain and Behaviour. Holds adjunct status at the University of Canterbury's NZILBB. Research emphasizes small-scale perceptual biases' role in language change and evolution. Key projects include Māori language phonotactic knowledge among non-speakers, reduplication in morphological segmentation, and BERT's syntactic insights. Recent work explores implicit proto-lexicons and ambient language exposure effects. Teaching includes courses on programming for linguists, computational linguistics foundations, and advanced topics in speech/text processing. Active in developing tools like Morfessor extensions for reduplication analysis. Collaborates internationally on projects linking perception to language structure and change.

• Irish Competition Law
• UK Competition Law
• EU Competition Law
• +۵ مورد دیگر

Associate Professor Mary Catherine Lucey holds a primary appointment at the School of Law within the Sutherland School of Law at University College Dublin (UCD). She concurrently serves as Honorary Senior Fellow at Melbourne Law School and Senior Visiting Fellow at the University of Reading. Her academic career includes visiting roles at Hong Kong University and Fordham University. Lucey specializes in competition law, European economic law, and legal education, with a focus on gender critiques in enforcement mechanisms and judicial approaches to competition frameworks. She leads modules such as EU Competition Law and Advanced EU Economic Law, emphasizing practical application of legal principles. Her educational background includes a DPhil from the London School of Economics, BCL from University College Cork, and Barrister-at-Law qualifications. Awards include the FitzPatrick Foundation Grant (2020) and Irish Research Council New Foundations Award (2017). Her research explores intersections between gender studies and competition law, judicial enforcement models in Ireland and Hong Kong, and soft law instruments in global regulatory networks. Lucey’s grants include projects analyzing gender in competition law enforcement and transnational agency networks. Her teaching spans advanced EU economic law, competition law in practice, and comparative legal frameworks. She has contributed to legal education through initiatives like the European Journal of Legal Education and the Irish Journal of European Law.

• Malaria Research
• Public Health
• Epidemiology
• +۷ مورد دیگر

Dr. Theonest K. Mutabingwa is a leading researcher in malaria and public health, affiliated with Hubert Kairuki Memorial University and the Nuffield Department of Medicine at the University of Oxford. He has collaborated with major global health institutions including the WorldWide Antimalarial Resistance Network, Wellcome Trust, and the Bill & Melinda Gates Foundation, focusing on malaria in sub-Saharan Africa. His research interests lie at the intersection of infectious diseases, maternal and child health, and long-term physiological consequences of prenatal infections. He investigates how fetal exposure to malaria influences adult cardiometabolic and muscular health, bridging tropical medicine with developmental origins of disease. His work spans epidemiology, pharmacology of antimalarials, and genetic determinants of disease severity. The recent publications highlight a strong trend in understanding the lifelong impact of placental and peripheral malaria exposure during fetal development, with studies published in journals like Frontiers in Public Health and BMJ Open Diabetes Research & Care . His earlier foundational work focused on chemoprophylaxis during pregnancy and infant malaria outcomes, contributing to policy and clinical understanding in high-burden regions. Dr. Mutabingwa has received significant support from prestigious sponsors such as the National Institutes of Health, Medical Research Council, and the Nuffield Department of Clinical Medicine at Oxford. His research has been instrumental in shaping antimalarial strategies in areas with drug resistance. He is actively involved in global research networks, particularly through the WorldWide Antimalarial Resistance Network, where his work contributes to surveillance and treatment guidelines. His long-standing collaboration with institutions in Tanzania, Kenya, and Uganda underscores his regional leadership in malaria research.

• Formal Methods
• Software Engineering
• Programming Languages
• +۱۳ مورد دیگر

Michael Leuschel is a Professor in the Institute of Computer Science at Heinrich-Heine-Universität Düsseldorf, Faculty of Mathematics and Natural Sciences. He leads research in formal methods, programming languages, and software engineering, with a focus on the development and application of the ProB model checker and constraint solver. He is co-founder of Formal Mind and scientific advisor to Nobreach, and actively contributes to the formal methods community through editorial and organizational roles. His research interests include formal verification, model checking, logic programming, partial evaluation, and the B and Event-B methods. He has pioneered techniques for animating and validating formal models, with applications in safety-critical systems such as railway operations. His work bridges theoretical foundations with industrial practice, enabling rigorous software construction. The recent publications highlight a strong trend in applying formal methods to AI safety, particularly in railway systems (e.g., KI-LOK project), integrating reinforcement learning with safety shields, and validating AI-based components. Other themes include interactive simulation, domain-specific validation documents, and the use of ProB for TLA+ and railML. The work combines theoretical advances in model checking with practical tool development. Michael Leuschel has supervised numerous students and collaborators, including Jens Bendisposto, Sebastian Krings, Philipp Körner, and Joshua Schmidt. He has been involved in significant research grants and projects, such as KI-LOK and the development of ProB, often in collaboration with industry and other academic institutions. His work has led to the creation of widely used tools and methodologies in formal methods. He is a key member of the Software Engineering and Programming Languages research group. His team develops and maintains ProB, works on integrating formal models into applications, and explores new frontiers in AI validation using formal techniques. The group is active in both theoretical research and practical tool building.

• Information Security
• Privacy
• Trustworthy Machine Learning
• +۱۱ مورد دیگر

Michael Backes is the founding director and CEO of the CISPA Helmholtz Center for Information Security, a leading institution in cybersecurity and privacy. He is also a professor at Saarland University and director of the CISPA-Stanford Center. His research spans trustworthy machine learning, secure software systems, and privacy-preserving technologies, with over 300 publications in top venues. Backes holds a professorship at Saarland University since 2005 and was a Max Planck Fellow at the Max Planck Institute for Software Systems (2007–2017). He earned his doctorate and has been recognized with numerous honors, including an honorary doctorate from Université de Lorraine. His research focuses on trustworthy information processing, particularly in machine learning and AI security. He investigates privacy-preserving methods, secure model training, adversarial robustness, and ethical AI. His work combines theoretical foundations with practical applications in medical data privacy, mobile security, and large language models. The recent publications highlight a strong trend in securing AI systems—especially large language models—against data leakage, prompt theft, misuse, and bias. His group develops benchmarks (e.g., HateBench, MGTBench), analyzes model memorization, and designs privacy-preserving techniques, reflecting a deep engagement with emerging AI security challenges. ACM Fellow (2023) IEEE Fellow (2018) ERC Synergy Grant (2014) ERC Starting Grant (2009) Karl-Heinz Beckurts Prize (2019) MIT TR35 Award (2009) NSA Cybersecurity Research Award (2017) IBM and Microsoft Research Awards Backes has mentored over 30 PhD students and postdocs, many of whom now hold faculty or leadership positions globally. He leads a large research group at CISPA and runs a competitive postdoc fellowship program. His team receives substantial funding from EU and German agencies. He actively promotes technology transfer and public engagement in cybersecurity. He leads the AI Security and Privacy research group at CISPA, which includes current members such as Xinyue Shen, Yang Zhang, and Wenhao Wang. The group collaborates internationally, notably with Stanford University, and operates at the intersection of systems, AI, and security research.

Malte Ressinمشاهده پروفایل

دانشیار

• Software Localization
• Agile Software Development
• Human-Computer Interaction
• +۱۲ مورد دیگر

Dr. Malte Ressin is an Associate Professor in Computer Science at the School of Computing and Engineering, University of West London . He has extensive experience in both academia and the software development industry, with a research focus on interdisciplinary collaboration in software development and productive mobile computing. University: University of West London School: School of Computing and Engineering Position: Associate Professor in Computer Science Email: malte.ressin@uwl.ac.uk His research spans software localization, agile development, human-computer interaction, additive manufacturing, and educational technology. He has contributed to numerous peer-reviewed journals, conferences, and book chapters, often in collaboration with international researchers. His work bridges technical software engineering with sociocultural and usability aspects, particularly in global development contexts. The recent publications show a trend toward applied computing in education, manufacturing, and accessibility, with increasing use of machine learning and empirical methods. His work connects software engineering practices with real-world applications in FMCG, esports, and vocational training. Degree Apprenticeship Assessment 3D Printing User Behavior AI in Ubiquitous Environments Software Localization in Agile CAD Data Standards Inclusive Esports Design Dr. Ressin has supervised or co-supervised research activities and contributed to teaching across multiple programs including BSc and MSc degrees in Computer Science, Information Technology, and Digital and Technology Solutions. He has presented at major software engineering conferences such as ICSE, XP, and INTERACT. His doctoral research focused on interdisciplinary collaboration in software localization, forming the foundation of his ongoing scholarly contributions.