جست‌وجوی استاد و پژوهشگر

Fabrizio Lombardiمشاهده پروفایل

استاد

• Fault-tolerant computing
• VLSI CAD
• Testing
• +۷ مورد دیگر

Fabrizio Lombardi is the ITC Endowed Professor at Northeastern University's Department of Electrical and Computer Engineering, part of the College of Engineering. He previously held faculty positions at Texas Tech University, University of Colorado-Boulder, and Texas A&M University. He earned his B.Sc. from the University of Essex (1977), M.Sc. and Ph.D. from the University of London (1982). His research focuses on fault-tolerant computing, VLSI CAD, quantum computing, and configurable computing systems. He has led major projects like the NSF-funded Neural-Network-based Stochastic Computing Architectures for Machine Learning . He holds leadership roles including President of the IEEE Nanotechnology Council (2022-2023), IEEE Computer Society Vice President (2021), and IEEE PSPB member. His 200+ publications span IEEE Transactions on Computers, Nanotechnology, and Design & Test. Awards include IEEE Fellow, Søren Buus Outstanding Research Award, and multiple research fellowships. His work bridges theory and application, emphasizing defect-tolerant nanosystems and energy-efficient computing hardware. Recent innovations include approximate computing methodologies and secure PUF-based hardware designs.

Michael Flavinمشاهده پروفایل

استاد

• Technology Enhanced Learning
• Disruptive Innovation Theory
• Global Leadership Studies
• +۳ مورد دیگر

Dr. Michael Flavin is a Professor at King’s College London, holding the position of Reader in Global Education at the African Leadership Centre within the School of Global Affairs. He earned a degree, three master’s degrees, and two doctorates: one in 19th-century literature (University of Kent, 1999) and another in Education with a focus on technology-enhanced learning (Open University, 2014). His work bridges education technology, disruptive innovation, global leadership, and 19th-century literature. Flavin’s research spans technology-enhanced learning strategies, leadership in conflict contexts (e.g., Northern Ireland’s Troubles), and the sociopolitical dimensions of higher education. His 2018 work on technology-enhanced learning was a runner-up in the ALT Research Project of the Year award. He has authored numerous books, including novels like The Voice Hearer (2024) and One Small Step (2022), and edited Research in Learning Technology . He reviews for major publishers like Palgrave Macmillan and Routledge. His recent publications analyze leadership failures in Irish paramilitary groups, neoliberal values in university prospectuses, and the evolution of learning technology research. Flavin’s interdisciplinary approach integrates literary analysis, policy critique, and educational innovation.

Tommy Löfstedtمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +۴ مورد دیگر

Tommy Löfstedt is an Associate Professor at Umeå University , affiliated with the Department of Computing Science and the Department of Mathematics and Mathematical Statistics. His research focuses on machine learning , computer vision , and medical image analysis , with applications in life sciences, radiation therapy, and biomedical imaging. He leads multiple research projects, including AI-driven delineation in radiation therapy, quantitative MRI for radiotherapy, and machine learning for plant nutrient uptake. Current research emphasizes structured regularization methods to improve model interpretability and robustness. Key applications include medical image segmentation , Alzheimer's classification , and uncertainty estimation in MRI . Recent publications highlight his work on morphological regularization , adversarial attack mitigation , and multi-task learning in medical imaging contexts. His projects span 2022–2026 with funding for pediatric oncology automation and gynecological cancer staging. Affiliated with both computing and mathematical departments, he bridges algorithm development with applied mathematical frameworks in medical and life science domains.

Cecilia Feillaمشاهده پروفایل

دانشیار

• Comparative Drama
• Theatre of the French Revolution
• Adaptation Studies
• +۷ مورد دیگر

Cecilia Feilla is an Associate Professor of English and World Literatures and Theatre Arts at Marymount Manhattan College, where she contributes to both literary and theatrical scholarship and pedagogy. Her academic focus spans comparative drama, theatre history, and performance studies, with a strong emphasis on French Revolutionary theatre and its global reverberations. Her research interests include French theatre from the 17th to 19th centuries , adaptation studies , genre theory , and the transnational impact of the French Revolution on performance . She explores how revolutionary ideals were staged, adapted, and reinterpreted across time and cultures, including in early 20th-century China. Her interdisciplinary approach bridges literature, history, politics, and performance. Dr. Feilla’s recent publications reflect a consistent engagement with revolutionary aesthetics, gender, historiography, and pedagogical innovation. Her articles examine topics such as prostitution in Revolutionary drama, the representation of time and history, and immersive teaching models. She has also published on multimodal learning and the adaptation of historical figures like Louise Michel in global contexts. Her awards and fellowships highlight her scholarly and teaching excellence: Fellow, Second Book Institute, University of Tulsa (2023) Senior Faculty Leave Fellowship, Marymount Manhattan College (2023) Runner-up, Margarita Donnelly Prize for Prose Writing (2021) Innovative Course Design Prize, American Society for Eighteenth-Century Studies (2020) Teaching Innovation Award, C-TIE (2018) Sokol Research Grant (2018) Outstanding Faculty Member Award, Humanities & Social Sciences Division (2017) Andrew W. Mellon Innovation Grant (2017) Dr. Feilla has held significant administrative roles, including Director of Assessment (2017–2020), Chair of English & World Literatures (2012–2015), and Director of Learning Communities (2010–2013). She has also been a research fellow at the Folger Shakespeare Library, NYU, and Philipps Universität-Marburg. Her current book project, The Reinvention of Love: Stage Adaptations of the Abelard and Heloise Story , continues her exploration of love, history, and performance. She is actively involved in mentoring and curriculum development, teaching courses such as World Drama, Theatre Histories, Literature & Revolution, and seminars on Romanticism, Gothic fiction, and classical literature.

Burak Kurkcuمشاهده پروفایل

استادیار

• Robust Control
• Soft Robotics
• Switched Neural Networks
• +۳ مورد دیگر

Burak Kurkcu is an Assistant Professor in the Department of Electrical and Computer Engineering at Santa Clara University's School of Engineering. He previously served as an Assistant Professor at Hacettepe University and as a Senior Control System Design Engineer at Aselsan Inc. Education: Ph.D., TOBB University of Economics and Technology (2019) M.S., TOBB University of Economics and Technology (2015) B.S., Istanbul Technical University (2010) Research Interests: Dr. Kurkcu specializes in robust control systems, soft robotics, switched neural networks, and autonomous systems. His work focuses on disturbance estimation, simultaneous learning algorithms, and control of nonlinear systems. Recent Publication Trends: His research includes soft pneumatic actuator modeling, disturbance observer-based control methods, and evolutionary optimization for state-space models. Key themes involve soft robotics, autonomous control, and computational intelligence applications. Scientific Awards: IEEE Turkey Ph.D. Thesis Award (2020) Editorial Roles: Associate Editor for TIMC, Measurement and Control , and Turkish Journal of Electrical Engineering and Computer Science . Principal Investigator for defense-related control system projects.

• Tsetlin Machines
• Reinforcement Learning
• Machine Learning
• +۳ مورد دیگر

Xuan Zhang is an Associate Professor at the Department of Information and Communication Technology, University of Agder. His research focuses on Tsetlin Machines, learning automata, and their applications in machine learning, computer vision, and hyperspectral imaging. Research Trends: Zhang’s recent work includes developing interpretable machine learning models (e.g., Tsetlin Machines), optimizing convolutional architectures for image processing, and applying automata theory to solve multi-armed bandit problems and channel selection in cognitive networks. His field spans theoretical analysis and practical implementations in AI, remote sensing, and health informatics. Scientific Contributions Co-developed advanced Tsetlin Machine variants for XOR/NOT operator convergence, disease forecasting, and image restoration Published in journals like IEEE Transactions on Pattern Analysis and Machine Intelligence , Information Sciences , and Applied Intelligence Explored Bayesian pursuit algorithms, hierarchical learning automata, and particle swarm optimization techniques Contact: xuan.zhang@uia.no

• Eye-tracking
• Virtual Reality
• Extended Reality (XR)
• +۷ مورد دیگر

Eakta Jain is an Associate Professor in the Department of Computer & Information Science & Engineering at the University of Florida's College of Engineering. Her research centers on human-computer interaction with a specialized focus on eye-tracking technologies, virtual reality, and privacy-preserving techniques in immersive environments. With over 15 years of sustained academic contributions, she has established herself as a leading researcher in gaze analysis and its applications across multiple domains. Dr. Jain's research interests span eye-tracking, virtual reality, extended reality (XR), privacy in immersive technologies, human-computer interaction, computer vision, and animation. Her work demonstrates a consistent trajectory from fundamental gaze analysis techniques to practical applications addressing critical privacy concerns in emerging technologies. She has made significant contributions to understanding how gaze data can be used to enhance user experience while simultaneously developing methods to protect user privacy in these systems. Analysis of her recent publications reveals a strong focus on privacy challenges in XR environments, with particular attention to gaze data protection, face-swapping technologies, and the psychological impacts of continuous monitoring. Her research bridges theoretical insights with practical implementations, often resulting in novel algorithms and frameworks that address real-world problems in immersive technologies. The interdisciplinary nature of her work connects computer science with cognitive psychology and human factors research. Dr. Jain has received recognition through publications in top-tier venues including IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Applied Perception, and the Symposium on Eye Tracking Research and Applications. Her work has been influential in shaping the discourse around privacy in immersive environments and has practical implications for the development of ethical XR systems. She actively mentors students and collaborators, with several junior researchers appearing as co-authors on her publications. Her research group appears to focus on the intersection of computer vision, graphics, and human-centered computing, with projects spanning from fundamental gaze analysis to applied privacy-preserving techniques in commercial VR systems. Current projects suggest strong industry connections and potential grant funding supporting her privacy-focused XR research.

• Sustainable Tourism
• Event Tourism
• Health Services and Tourism
• +۶ مورد دیگر

Dr. Joanne Connell is Associate Professor in Sustainability and Tourism at the University of Exeter Business School, where she serves as Director of Postgraduate Research and Programme Manager for the Master's degree in International Tourism Management. With a career spanning over a decade since joining in 2011, she operates at the intersection of sustainability, inclusivity, and health in tourism contexts. Key roles: Director of Postgraduate Research, Programme Manager for MA International Tourism Management Collaboration networks: Alzheimer’s Society, Historic Royal Palaces, National Trust Research themes: Age-friendly tourism, Cognitive impairment accommodations, Sustainable tourism Major publications: Co-editor of Tourism: A Modern Synthesis (5th ed) and The Routledge Handbook of Events Research Focus Her interdisciplinary research bridges tourism, health, and business engagement. Notable projects include the £1.9m UKRI-funded ENLIVEN project (2022-2024) examining nature-based therapies for elderly with cognitive impairments, and development of dementia-inclusive guides for tourism businesses and heritage sites. She has contributed extensively to understanding: Sustainable tourism frameworks Ageing visitor economy challenges Accessibility in heritage and natural sites Business strategies for older demographics Leisure geography in modern societies Interdisciplinary event studies Publication Legacy As co-editor of the seminal Routledge Handbook of Events (2nd ed, 2024) and author/editor of 10+ books, her work spans: Event studies methodology Tourism-health intersections Leisure sociology Urban event planning Knowledge transfer in tourism Policy development for inclusive tourism

• Machine Learning
• Artificial Intelligence
• Data Science
• +۵ مورد دیگر

Pan Xu is a tenure-track assistant professor with joint appointments in the Department of Biostatistics & Bioinformatics, Department of Computer Science, and Department of Electrical & Computer Engineering at Duke University's Pratt School of Engineering. Prior to joining Duke, he was a Postdoctoral Scholar Research Associate at the California Institute of Technology, and he earned his Ph.D. in Computer Science from UCLA. His research bridges theoretical foundations with practical applications in machine learning and artificial intelligence. Dr. Xu's research focuses on developing computationally- and data-efficient machine learning algorithms with strong theoretical guarantees, particularly in reinforcement learning, optimization, and high-dimensional statistics. His work addresses two fundamental challenges in sequential decision-making: efficient exploration with minimal interactions and robustness against distributional shifts. His research spans theoretical algorithm design, practical implementation, and real-world applications in bioinformatics and healthcare. His publication record demonstrates consistent high-impact contributions to top-tier conferences including ICML, NeurIPS, ICLR, AAAI, and AISTATS. The research trends show a progression from foundational work in non-convex optimization and multi-armed bandits toward increasingly sophisticated frameworks for robust reinforcement learning, with particular emphasis on distributional robustness, efficient exploration strategies, and practical applications. His work often bridges theoretical guarantees with empirical validation. NSF award on approximate sampling based exploration for sequential decision making Whitehead Scholar award from Duke University School of Medicine PIMCO Postdoctoral Fellowship in Data Science UCLA Outstanding Graduate Student Research Award Rising Stars in Data Science by University of Chicago Best Paper Award for Queer In AI: A Case Study in Community-Led Participatory AI at FAccT 2023 Featured Certification for Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits at TMLR Oral Presentation award at AAAI 2024 Dr. Xu actively mentors students and researchers, seeking highly motivated individuals with strong mathematical backgrounds for Ph.D. programs in Biostatistics & Bioinformatics, Computer Science, and Electrical & Computer Engineering at Duke. He has received multiple research grants including an NSF award on approximate sampling based exploration for sequential decision making. His service to the academic community includes roles as area chair for NeurIPS, ICML, ICLR, and AISTATS, as well as action editor for Transactions on Machine Learning Research. His research group develops algorithms that address fundamental challenges in sequential decision-making, with applications spanning healthcare, bioinformatics, and multi-agent systems. Current research directions include distributionally robust reinforcement learning, efficient exploration strategies, and applications of graph neural networks to biological problems.

• Power Electronics
• Building Automation
• Smart Grids
• +۷ مورد دیگر

Dr. Andrzej Ożadowicz is a University Professor at the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His office is located in room 510, building C-1, with contact details including phone +48 12 617 50 11 and email ozadow@agh.edu.pl. He holds PhD, DSc, and Engineering degrees, reflecting his dual expertise in academic research and practical engineering applications. His research spans Power Electronics, Building Automation, Smart Grids, and IoT-driven energy systems. Key interests include energy efficiency optimization through digital twins and BIM, distributed energy resource integration , and AI-enhanced demand management . Notably, he pioneers applications of deep reinforcement learning in home energy systems and develops frameworks for Smart Readiness Indicator implementation. His work bridges theoretical innovation with practical case studies in building thermal modeling and dynamic façade systems. Recent publications (2021-2025) reveal three dominant trends: (1) Convergence of digital twin technology with building automation for real-time energy management; (2) Critical analysis of IoT security and interoperability in smart infrastructure; (3) Pedagogical innovations in engineering education through blended learning methodologies post-COVID-19. His scholarly output demonstrates consistent focus on energy transition challenges and smart grid evolution. Professor Ożadowicz actively contributes to the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies at AGH. He is instrumental in the AutBudNet initiative —a network of certified laboratories for energy efficiency assessment that implements "learning by doing" principles in building automation education. His work with this consortium emphasizes practical validation of smart grid technologies and demand response systems.

Juan Medina Contrerasمشاهده پروفایل

استاد

• Film Studies
• Communication
• Political Communication
• +۷ مورد دیگر

Juan Medina Contreras is a faculty member at the Faculty of Communication, University of Salamanca . He holds a Doctorate in Communication , a Degree in Journalism , an Expert in Gender and Communication , and a Master in Screenwriting and Political Image Consulting . His career spans academic research, teaching, and professional training in communication. His research focuses on film studies , political communication , gender representation , and visual rhetoric . Notable contributions include analyzing female archetypes in the [REC] saga, the portrayal of defense organizations in the Marvel Cinematic Universe, and the role of cinematic editing in shaping political and cultural narratives. His 15 most recent publications span 2014–2021 , with recurring themes in Spanish cinema , gender dynamics , political advertising , and historical memory . He has also explored digital photography ethics and citizen journalism challenges. While no scientific awards are explicitly mentioned, his work includes a research study on quality of life for disabled women in Palencia (2014). He has supervised theses and contributed to books like Género negro sin límites (2019) and La estética televisiva en las series contemporáneas (2018).

Jill M Castekمشاهده پروفایل

استاد

• Digital Literacies
• New Literacies
• Bi/multilingual Education
• +۵ مورد دیگر

Jill M Castek is Professor of Literacy, Technology & Bi/multilingual Learners & STEM Education in the Department of Teaching, Learning, and Sociocultural Studies at the University of Arizona's College of Education. As Graduate Advisor for the Second Language Acquisition and Teaching (SLAT) program and Co-Director of the Digital Innovation and Learning Lab (DIALL), she bridges research and practice in digital literacy development. Dr. Castek earned her PhD in Education Psychology (Cognition and Instruction) from the University of Connecticut as a Neag fellow in the New Literacies Research Lab, followed by postdoctoral work at UC Berkeley's Lawrence Hall of Science. Her research examines how digital, visual, and audio storytelling fosters literate capacities across print and digital forms in classrooms and community spaces. Her work centers on digital problem solving , critical media literacy , and equity-centered making practices in STEM education. She investigates intersections of disciplinary literacy, new media, and learning for bi/multilingual students, with strong emphasis on community-based applications through libraries and non-profits like Literacy Connects where she serves on the board. Recent publications (2022-2025) reveal growing focus on AI-era teacher education , digital health literacy , and misinformation challenges , while maintaining core commitments to collaborative problem solving and expansive literacies frameworks. Her scholarship consistently addresses K-12 and adult learning contexts through interdisciplinary lenses. Scientific recognition includes: Neag fellowship during doctoral studies As Principal Investigator on NSF and IMLS grants, Dr. Castek advances digital equity through projects like the Making Equity Network (broadening STEM participation for underrepresented groups) and library-focused digital problem-solving initiatives serving economically vulnerable adults. Her leadership in the Technology Enhanced Language Learning (TELL) cluster hire demonstrates institutional impact. Through DIALL, she cultivates innovations connecting digital storytelling with self-expression at individual and community levels, promoting workforce readiness via creative problem-solving approaches. Her board membership with Literacy Connects extends this community-engaged scholarship to Tucson-based literacy initiatives.

• Semantic technologies
• Ontology engineering
• Internet of Things
• +۱۰ مورد دیگر

Professor Trina Myers serves as the Head of School for the School of Information Technology at Deakin University's Faculty of Science Engineering and Built Environment. With extensive experience in academia and research leadership, she plays a pivotal role in shaping IT education and research directions at Deakin. She is also an active member of the Australian Council of Deans of ICT (ACDICT), having served as its immediate past President. Her educational background includes: Doctor of Philosophy in Computer Science from James Cook University Master of Business Administration from James Cook University Master of Information Technology from James Cook University Professor Myers' research focuses on semantic technologies, ontology engineering, Internet of Things, knowledge management, natural language processing, and human-computer interaction . Her work emphasizes interdisciplinary collaboration, bridging technology with fields such as healthcare, marine science, environmental conservation, and business. She has pioneered approaches in academagogy (academic gamification) to enhance online learning engagement, particularly for adult learners. Her IoT research has significant applications in healthcare space optimization, environmental monitoring, and resource management. Her recent publications demonstrate a strong trajectory in applying AI and IoT technologies to solve real-world problems, particularly in healthcare, education, and resource optimization. There's a clear pattern of interdisciplinary work connecting computer science with healthcare, education, and environmental science. Her research increasingly focuses on human-centered technology design, especially for vulnerable populations like adolescents with autism spectrum disorder. Her notable achievements include: Fellow of the Australian Computer Society (2023) Australian Awards for University Teaching (AAUT) Teaching Award (2020) Women in IT Professional Leadership Award Finalist (2020) Asia-Pacific International Triple E Entrepreneurial Educator of the Year Award (1st runner-up, 2020) Australian Computer Society, National Digital Disruptor ICT Educator of the Year (2019) Professor Myers actively supervises doctoral students across diverse research areas including gamification in language learning, brain tumor analysis using deep learning, AI in higher education, AI for refugee resilience, data integrity in edge environments, and quantum-driven satellite networking. She has secured significant research funding, including a recent grant for "Indiginizing ICT Curriculum: A Starter Framework for the Community of Practice" through the Australian Council of Deans of ICT. Her teaching philosophy emphasizes active learning methodologies, Process Oriented Guided Inquiry Learning (POGIL), blended learning, and collective intelligence approaches.

Catherine D’Ignazioمشاهده پروفایل

دانشیار

• Feminist Technology
• Data Literacy
• Civic Engagement
• +۸ مورد دیگر

Catherine D’Ignazio is an Associate Professor at the Department of Urban Studies and Planning , School of Architecture and Planning , Massachusetts Institute of Technology (MIT) . She serves as the director of the Data + Feminism Lab , which focuses on feminist technology, data literacy, and social justice. Her work spans AI bias , gender-based violence , and equitable urban planning , with a strong emphasis on intersectional approaches to data science. Education : She holds an MS from the MIT Media Lab , an MFA from the Maine College of Art , and a BA in International Relations from Tufts University (Summa Cum Laude, Phi Beta Kappa). D’Ignazio’s research explores the intersection of technology , design , and social justice , particularly through grassroots data activism and feminist AI. Her 2024 book , Counting Feminicide: Data Feminism in Action , analyzes how communities collect and use data to challenge gender-related violence. Earlier, her 2020 book Data Feminism (co-authored with Lauren Klein) outlines ethical data science practices. Scientific Awards include recognition from the Tanne Foundation , Turbulence.org , and the Knight Foundation . Her art projects have been exhibited at venues like the Venice Biennial and the ICA Boston . She teaches courses such as Interactive Data Visualization & Society and Urban Science for Public Good , emphasizing participatory design and critical data literacy . Her lab collaborates with global networks like the Design Justice Network and Data Against Feminicide .

Sameer Mulaniمشاهده پروفایل

دانشیار

• Uncertainty Quantification
• Random Vibrations
• Multi-disciplinary Optimization
• +۱۲ مورد دیگر

Dr. Sameer Mulani is an Associate Professor, Associate Department Head, and Director of Graduate Programs in the Department of Aerospace Engineering and Mechanics at the University of Alabama's College of Engineering. He leads the Stochastic Mechanics and Multi-Disciplinary Optimization Laboratory (SMO Lab) and is an integral part of the Remote Sensing Center and Alabama Materials Institute. Dr. Mulani's research spans uncertainty quantification, random vibrations, multi-disciplinary optimization, and composite structures' multi-scale analysis and design. His work combines computational methods with machine learning to develop innovative solutions for aerospace engineering challenges. He has made significant contributions to self-healing composite materials, uncertainty quantification techniques, and optimization of composite structures. His research group has published extensively on topics including polynomial chaos expansion for uncertainty quantification, self-healing composites, stochastic buckling analysis, and machine learning applications in structural mechanics. The publications demonstrate a strong trend toward integrating probabilistic methods with traditional engineering analysis to improve reliability and safety of aerospace structures. AIAA Associate Fellow, Class of 2025 2025 Department of the Air Force Summer Faculty Fellowship Program 2024 Department of the Air Force Summer Faculty Fellowship Program MSC Software Contest Winner (2011) Night on the Town: General Electric Award (2007) DAAD Fellowship (1999-2000) Dr. Mulani has advised numerous graduate students who have gone on to successful careers at institutions including Los Alamos National Laboratory, Cirrus Aircraft, L3Harris, and Lockheed-Martin. His lab collaborates with various research centers including the Remote Sensing Center where they work on antenna design, manufacturing, and integration for aircraft systems. The SMO Lab utilizes advanced software including MSC NASTRAN/PATRAN, ANSYS Mechanical/FLUENT, ABAQUS, SOLIDWORKS, and CATIA for their simulations and analyses.