جست‌وجوی استاد و پژوهشگر

Josée Tasséمشاهده پروفایل

دانشیار

• Software Engineering
• Mining Software Repositories
• Data Analytics
• +۳ مورد دیگر

Josée Tassé is an Associate Professor in the Department of Computer Science at the University of New Brunswick. She holds a BSc in Computer Science from Université de Montréal (1992) and a PhD from McGill University (1999). Her research focuses on software engineering, particularly mining software repositories, data analytics applied to software development, software metrics analysis, and process modeling. She has supervised multiple graduate students including Amandeep (MCS), Jing Chen (MCS), Wanxiang Zhang (MCS), and James Stewart (PhD). Her publications demonstrate consistent focus on software process optimization, defect prediction, and policy-driven development. The 15 most recent publications showcase her research progression from process modeling (1996-2001) to policy-guided software evolution (2003-2010) and contemporary work in software metrics and defect prediction (2013-2015).

Catherine M. Chauvinمشاهده پروفایل

دانشیار

• Printmaking
• Lithography
• Drawing
• +۴ مورد دیگر

Catherine M. Chauvin is an Associate Professor of Art—Printmaking at the University of Denver, affiliated with the College of Arts, Humanities and Social Sciences and the School of Art and Art History. She holds a Master of Fine Arts from Syracuse University and a Tamarind Master Printer Certificate from the University of New Mexico. Her creative research focuses on environmental themes, particularly human interaction with landscapes, using lithography, drawing, and collaborative printmaking. Chauvin has held leadership roles, including Director of the School of Art & Art History (2015–2019) and has been a visiting artist at institutions like Arizona State University and the University of Louisiana, Lafayette. Education: Tamarind Master Printer Certificate (1998), University of New Mexico MFA in Printmaking (1991), Syracuse University BFA in Studio Art (1988), Miami University Professional Affiliations: Mid American Print Council (MAPC) Southern Graphics Council International (SGCI) Rocky Mountain Print Alliance Her research explores the intersection of art and environment, often addressing ecological concerns through printmaking techniques. Recent projects include residencies in the Burren (Ireland), Playa (Oregon), and Jentel (Wyoming), which inform her work on water issues, fire, and land use. Chauvin’s exhibitions span international venues, including solo shows in North Dakota and group exhibitions in Spain, Portugal, and Ireland. She has contributed to portfolios like Threshold and Call to the Wilds , emphasizing collaborative and environmental themes. Chauvin’s academic service includes roles in curriculum development, grant writing, and leadership in printmaking associations. She has organized conferences, curated exhibitions, and served as a juror for regional and national printmaking competitions. Her work is part of collections at the Hilliard Art Museum and the University of Alberta’s Print Study Collection.

Michael JASPERمشاهده پروفایل

استاد

• Architecture
• Urban Design
• Modernist Architecture
• +۵ مورد دیگر

Michael Jasper is a Professor of Architecture at the University of Canberra, leading the Faculty of Arts and Design as Chair of the Faculty Board. He holds dual appointments in the Architecture, Design & Built Environment department and the Centre for Creative & Cultural Research. With extensive professional experience as a Partner at Cooper Robertson & Partners in New York, he bridges academic and practice expertise. His research focuses on 20th-century architectural theory, urban design, and resilient spatial strategies. Notable projects include the Sustainable Shine Dome (Australian Heritage Grant) and Haig Park Activation (ACT Government grant). He has authored influential books like Trajectories in Architecture and Architectural Possibilities in the Work of Eisenman , and serves on national committees including the Venice Architecture Biennale Curatorial Committee. His teaching innovations, such as international studios in Tokyo and Venice, have enhanced curriculum global engagement. Roles: Chair, Faculty Board (2022–2024); Director, Alastair Swayn Foundation (2016–present); Member, National Capital Design Review Panel (2018–present) Research: Modernist discourses, urban form resilience, and architectural composition. Active in grants totaling $1.1M+. Teaching: A 95% student satisfaction rate; led Master of Architecture accreditation (2016–2021). His work intersects architectural history with contemporary challenges, emphasizing sustainability and interdisciplinary collaboration. Current projects include a revised modernist knowledge framework and urban housing resilience studies.

• Chemistry Education
• STEM Education
• Cognitive Science in Learning
• +۳ مورد دیگر

Jessica Karch is a Lecturer in the Department of Chemistry at Tufts University, affiliated with the School of Arts and Sciences. She holds a PhD in Chemistry from the University of Massachusetts Boston (2021) and a BA from Columbia University (2015). Her research focuses on innovative pedagogical strategies in STEM education, particularly in chemistry, emphasizing cognitive load measurement, interdisciplinary learning, and equity in educational outcomes. She explores how learning assistants and hybrid course designs enhance student engagement and employs methods such as eye tracking and pupillometry to study real-time learning processes. Education: Doctor of Philosophy (Chemistry), University of Massachusetts Boston, 2021 Bachelor of Arts (Chemistry), Columbia University, 2015 Her research interests bridge cognitive science and educational practice, including the design of frameworks for analyzing learning dynamics, addressing equity gaps through asset-based interventions, and leveraging data science in civic education. She has contributed to understanding abstraction in problem-solving and the role of technology in fostering interdisciplinary thinking. Jessica’s work often integrates empirical studies of student interactions, instructional video analysis, and collaborative learning models to improve undergraduate STEM pedagogy. Her publications (2017–2024) reflect a trajectory from neuroeducational methods (e.g., pupillometry) to applied educational frameworks (e.g., learning assistant programs). She emphasizes practical, evidence-based approaches to enhance teaching effectiveness and student success in chemistry and beyond.

Anita Wasilewskaمشاهده پروفایل

دانشیار

• Data Mining
• Bioinformatics
• Automated Theorem Proving
• +۸ مورد دیگر

Anita Wasilewska is an Associate Professor in the Department of Computer Science at SUNY Stony Brook University. Her research spans foundational areas in data mining, bioinformatics, automated theorem proving, and rough sets, with applications in knowledge discovery and computational logic. Education: Ph.D. in Mathematics (1975) and M.S. in Computer Science (1967), both from Warsaw University, Poland. Employment: 1989–present at Stony Brook, with adjunct roles at Dowling College (1998–2001) and sabbaticals including Fulbright Scholar (1993–1994). Her research focuses on Data Mining (classification, clustering, association rules), Bioinformatics (protein structure prediction), and Automated Theorem Proving in non-classical logics. Her recent publications emphasize granular models, meta-classifiers, and hybrid systems for knowledge discovery. She has collaborated extensively with institutions in Spain, France, and China, supervised multiple Ph.D. students, and served on program committees for conferences like ICMLA, NAFIPS, and RSCTC. Grants include NCIIA Sustainable Vision (2007–2009) and Fulbright support for research in Poland.

• Contemporary Visual Arts
• Photography
• Painting
• +۴ مورد دیگر

Dr. Troy Ruffels is a Lecturer in the School of Creative Arts and Media at the University of Tasmania, specializing in visual arts, photography, and place-based research. He holds a PhD from the Tasmanian School of Art (2003), a PGDip from Glasgow School of Art (2001), and BFA degrees from the Tasmanian School of Art (1994, 1996). His research explores how environment and atmosphere shape human perception, emphasizing practice-led methodologies. Ruffels has been Head of Photomedia, Honours Coordinator, and contributed to course development, mentoring over 70 students. He is an award-winning artist with exhibitions globally, including major commissions like the 2021 HIVE Cultural Precinct project. His work investigates Tasmania’s landscapes, ecology, and the interplay between human experience and natural phenomena. Awards include the 2005 Burnie Art Prize and multiple grants from Arts Tasmania and Australia Council. Ruffels actively advocates for contemporary art through judging roles and public speaking, and co-founded Sawtooth ARI in Launceston. His current research focuses on ‘weathering’ as a metaphor for environmental and psychological transformation. Education: PhD, Tasmanian School of Art (2003) PGDip, Glasgow School of Art (2001) BFA (Hons), Tasmanian School of Art (1996) BFA, Tasmanian School of Art (1994) Research Interests: Place-based aesthetics and environmental perception Photography and digital imaging techniques Ecological and atmospheric representation Tasmanian cultural identity Awards & Commissions: HIVE Cultural Precinct Commission (2021) Biennale of Australian Art Commission (2018) Burnie Art Prize, Major Award (2005) Service & Advocacy: Founding Chair, Sawtooth ARI (Launceston) Judge for national art prizes Panel member for university course development

Hadjiefthymiades Stathesمشاهده پروفایل

استاد

• IoT Security
• Cloud Computing
• Machine Learning
• +۷ مورد دیگر

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.

Richard S Wilsonمشاهده پروفایل

مدرس ارشد

• Data Mining
• Business Intelligence
• Data Warehousing
• +۵ مورد دیگر

Dr Richard S Wilson is a Senior Lecturer at the School of Computing and Digital Technologies, Sheffield Hallam University, within the College of Business, Technology and Engineering. He leads the MSc in Big Data Analytics, BSc Business and Digital Technology, and BSc IT with Business Studies courses. Education: Master's in Business Intelligence (distinction), PhD research in SAS software applications. Research Interests His work focuses on Data Mining and Business Intelligence , with applications in Secure Data Systems , Ontology , and Applied Computing . He specializes in data integration for crime analytics and healthcare (NHS) systems. Publications Trends Recent articles analyze ontology-driven data enrichment , ballistic data interoperability , and student progression analytics . Themes include EU-funded research, secure data platforms, and SAS-based solutions. Scientific Awards FHEA (Fellow of the Higher Education Academy) MBCS (Member of the British Computer Society) Teaching Expertise Advanced SAS software training, modules on Data Warehousing , Applied Business Intelligence , and Data Integration . Also contributes to higher education research on student analytics.

• Nonlinear Systems and Control Theory
• Passivity-Based Control
• Sampled-Data Systems
• +۴ مورد دیگر

Alessio Moreschini is a Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London, within the Faculty of Engineering. He holds a dual Ph.D. in Automatica (University of Rome "La Sapienza") and Systems and Control (Université Paris-Saclay), both awarded in 2021. His research focuses on nonlinear systems and control theory, with expertise in passivity-based control, sampled-data systems, and model order reduction. Moreschini is affiliated with the Control and Power Research Group at Imperial College. He previously served as a Postdoctoral Fellow at the University of Rome from 2021–2022. His academic roles include Associate Editorships for Automatica and the EUCA Conference Editorial Board, as well as membership in the IEEE CSS Technical Committee on Nonlinear Systems and Control, and the IFAC Technical Committee on Nonlinear Control Systems. Research interests span advanced control methodologies, including passivity theory, model reduction techniques, and their applications to electrical networks and robotics. His recent work emphasizes data-driven approaches, nonlinear system interpolation, and stabilization strategies for sampled-data systems.

• Programming Languages
• Formal Verification
• Compilers
• +۵ مورد دیگر

Clément Pit-Claudel is a Tenure-Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), leading the SYSTEMF Laboratory in the School of Computer and Communication Sciences. His work bridges programming languages, formal verification, and systems engineering to build high-assurance software and hardware components. PhD in Computer Science from MIT (2016), thesis on proof-producing compilers MSc in Computer Science from MIT BSc in Computer Science from École Polytechnique (France) Research Interests focus on correct-by-construction program synthesis , domain-specific compilers , and formal verification . He develops tools like Alectryon for interactive Coq proof visualization and Rupicola for verified compiler construction. His work spans hardware description languages (e.g., Kôika ), software verification (e.g., Fiat ), and regex engine formalization (e.g., Elk and Warblre ). Recent publications include foundational work on JavaScript regex mechanisms (ICFP 2024), relational compilation (PLDI 2022), and hardware simulation (ASPLOS 2021). His lab SYSTEMF emphasizes full assurance without compromise through machine-checked proofs and hardware-software co-design. Awards include the MIT Frederick C. Hennie III Teaching Award (2016) and MIT William A. Martin Thesis Award (2016). He has served as program committee member for conferences like PLDI, POPL, and Coq Workshop. Teaching includes Software Construction (400+ students at EPFL) and Interactive Theorem Proving graduate course. He has advised doctoral students in formal methods and compiler design.

Mengyao Liمشاهده پروفایل

استادیار

• Human Factors
• Human-AI Teaming
• Trust in Automation
• +۳ مورد دیگر

Mengyao Li is an Assistant Professor in the School of Psychology at Georgia Institute of Technology. She directs the Hybrid Intelligence (HI) Lab, focusing on human-AI teaming (HAT), trust dynamics, and sociotechnical systems. Her research integrates communication, cooperation, and coevolution between humans and AI, emphasizing safety-critical domains like autonomous vehicles and conversational robotics. Education: Ph.D. in Industrial and Systems Engineering (Human Factors), University of Wisconsin–Madison (2023) M.S. in Industrial and Systems Engineering (Human Factors), University of Wisconsin–Madison (2020) B.A. in Psychology & Mathematics, Agnes Scott College (2019) Research Interests: Dr. Li investigates trust in human-AI interactions, including trust estimation via machine learning, goal alignment through game theory, and long-term trust dynamics using trajectory epistemic network analysis. Her work addresses challenges in automated vehicles, conversational agents, and hybrid societal systems. She emphasizes practical applications such as safety policies, sustainable behavior interventions, and human-robot collaboration. Advising & Grants: She mentors Ph.D., master’s, and undergraduate students in her HI Lab. Recent grants include funding from GTRI for trust contagion studies in multi-human-AI teams. Her lab has produced notable work on trust measurement, cooperative dynamics, and human-Automation interaction, with publications at HFES, IEEE ITSC, and AAAI workshops. Labs & Teams: Her Hybrid Intelligence Lab explores human-AI symbiosis, with current projects on trust repair, sustainable behavior design, and multi-UAV team dynamics. Team members include Ph.D. students focused on trust repair (Emanuel Rojas), affective computing (Shuyuan Liu), and HRI feedback mechanisms (Trevor Patten).

• Probabilistic Programming
• Formal Verification
• Programming Languages
• +۳ مورد دیگر

Kevin Batz is a researcher in computer science at RWTH Aachen University, currently affiliated with University College London. He completed his PhD in December 2024 under Professor Joost-Pieter Katoen, focusing on probabilistic program semantics and verification. His work includes co-developing Weighted Programming, a paradigm for mathematical modeling, and advancing deductive verification techniques for probabilistic systems. Education: PhD in Computer Science (RWTH Aachen University, 2024, summa cum laude). Supervised by Prof. J.-P. Katoen. Research Interests: Probabilistic programming semantics, automated verification, formal methods for heap-manipulating systems, and quantitative separation logic. He has pioneered tools like the deductive verification infrastructure for probabilistic programs and contributed to foundational work on expectation analysis. Awards: ETAPS Doctoral Dissertation Award 2025 Best Paper Award at LOPSTR 2020 Springorum Medal 2019 Teaching & Supervision: Taught courses on probabilistic programming, static analysis, and compiler construction. Supervised multiple thesis projects, including award-winning works on quantitative separation logic and invariant-based strategy synthesis. Labs/Teams: Member of the Software Modeling and Verification Group at RWTH Aachen, contributing to the LuFG i2 research unit.

Alistair Riderمشاهده پروفایل

مدرس ارشد

• 20th-Century Art
• Sculpture
• Environmental Humanities
• +۷ مورد دیگر

Dr. Alistair Rider is a Senior Lecturer in Art History at the School of Art History, University of St Andrews. His research focuses on 20th-century North American and European art, with emphases on sculpture, environmental humanities, and durational art practices. He has authored monographs on Carl Andre and James Howell, and his work explores ecological and materialist perspectives in art history. Rider is actively involved in environmental humanities research networks, examining how materials in late-twentieth-century sculptures reflect global resource flows. He teaches and supervises doctoral students in related fields. Education: PhD in Art History, University of Leeds (2005) Research Interests: Rider’s work bridges sculpture studies with environmental critiques, examining how artworks engage with ecological systems and material histories. He investigates durational art’s capacity to represent ‘living’ forms and the collective dimension of artistic creation. Recent projects explore sculpture’s materiality as a lens for understanding global trade networks. Publications: Rider has contributed to journals like Art History and Parallax , with publications analyzing artists such as Roman Opalka, Jeffrey Rubinoff, and On Kawara. His work often bridges art theory with socio-historical contexts, emphasizing interdisciplinary approaches. Activities: Rider has organized and participated in academic events, including a 2012 lecture with Manfred Mohr on algorithmic art and a 2015 seminar on Richard Long’s topographies. His activities highlight engagement with contemporary art discourse and public scholarship.

Melika Payvandمشاهده پروفایل

استادیار

• Neuroinformatics
• Artificial Intelligence
• Neuromorphic Computing
• +۵ مورد دیگر

Melika Payvand is an Assistant Professor at the Institute of Neuroinformatics, University of Zurich and ETH Zurich, leading the Emerging Intelligent Substrates lab. She holds MSc and PhD degrees in Electrical and Computer Engineering from the University of California, Santa Barbara (2012 and 2016). Her research focuses on understanding natural intelligence and translating its principles into efficient artificial intelligence systems, particularly exploring hierarchical structures and memristive devices to reduce AI operational costs. She received the 2023 Swiss National Science Foundation Starting Grant and is actively involved in neuromorphic initiatives, including co-coordinating the NEUROTECH project and co-chairing the International Conference on Neuromorphic Systems (ICONS). Her work bridges neuroscience and engineering, emphasizing neuromorphic computing’s potential for scalable and energy-efficient AI. Key contributions include developing the Neurobench benchmarking framework and advancing 3D integration for neuromorphic systems. She also chairs the Neural Systems and Applications committee of the IEEE Circuits and Systems Society, reflecting her leadership in the field. Research interests span neuromorphic architectures, memristive technologies, and spiking neural networks. She has pioneered studies on temporal hierarchy, in-memory computing, and hardware-aware training methods. Her lab’s interdisciplinary approach integrates circuit design, machine learning, and neurobiology to create next-generation intelligent systems.

David Mguniمشاهده پروفایل

مدرس

• Multi-Agent Systems
• Reinforcement Learning
• Game Theory
• +۳ مورد دیگر

Dr. David Mguni is a Lecturer in Computer Science at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. His research focuses on multi-agent systems, reinforcement learning, game theory, and decision-making under uncertainty. He holds a PhD in applied mathematics from University College London and prior degrees from the University of Cambridge and the University of London. Before academia, he was a Principal Scientist at Huawei, leading the Multi-Agent Systems team in London. His work bridges theoretical foundations with practical applications, particularly in strategic decision-making and autonomous systems. He teaches the ECS656U/ECS796P Distributed Systems course and supervises students in reinforcement learning, game theory, and optimization. Research interests include non-zero-sum game frameworks, safe reinforcement learning (e.g., SAUTE RL), and reward shaping techniques. His publications span venues like AAMAS, NeurIPS, and IJCAI, addressing challenges in multi-agent coordination, adversarial environments, and algorithmic efficiency. Collaborations involve designing scalable methods for large systems and integrating language models into decision-making processes. David is part of Queen Mary’s Centre for Multimodal AI, contributing to projects on socially-attentive policies, risk-aware systems, and distributed optimization. His recent work emphasizes safety in multi-agent learning (e.g., SAUTE RL), variance reduction in estimator models, and frameworks for managing adversarial scenarios. He actively seeks PhD candidates to explore reinforcement learning and game-theoretic applications.