جست‌وجوی استاد و پژوهشگر

Jennifer Renée Kilpatrickمشاهده پروفایل

استادیار

• Deaf Education
• Literacy Studies
• Universal Design for Learning (UDL)
• +۳ مورد دیگر

Jennifer Renée Kilpatrick is an Assistant Professor of Deaf Education at the University of North Florida , where she has served since 2015. Her work bridges theory and practice through partnerships with K-12 programs serving Deaf/Hard of Hearing (DHH) students across Florida. Education: PhD in Literacy Studies, University of Tennessee (2015) MEd in Elementary Education, University of North Florida (2011) MS in Education of the Deaf/Hard of Hearing, University of Tennessee (2008) BS in Special Education, Liberty University (2003) Research Focus: Her scholarship emphasizes Universal Design for Learning , deaf education teacher preparation , and literacy instruction for DHH students. She employs functional grammar approaches and integrates digital tools to enhance writing pedagogy. Key Contributions: Recent publications analyze trends in DHH teacher training and UDL implementation during the pandemic. Her work spans empirical studies, curriculum innovation, and international collaborations in Haiti. Professional Engagement: Kilpatrick actively contributes to editorial and committee work, including the Teacher Education Council and Journal of Deaf Studies and Deaf Education review board. Personal: Known as Dr. K or KP to students, she balances her academic pursuits with outdoor activities like hiking and running.

Eugene Yangمشاهده پروفایل

پژوهشگر

• Information Retrieval
• Cross-Language Information Retrieval
• Multilingual Information Retrieval
• +۴ مورد دیگر

Eugene Yang is a Research Scientist at the Human Language Technology Center of Excellence (HLTCOE) at Johns Hopkins University, where he focuses on cross language and multilingual information retrieval, multilingual multimodal report generation, and retrieval-augmented generation systems. He received his Ph.D. in Computer Science from Georgetown University in 2021 under the supervision of Ophir Frieder, David D. Lewis, and Jeremy Fineman. His research spans multiple domains within information retrieval, with particular emphasis on high recall retrieval systems, technology-assisted review frameworks, and multilingual processing. He is the developer of TARexp, an open-source Python framework for Technology-Assisted Review experiments, which demonstrates his commitment to creating practical tools for the research community. Yang's publication record shows a clear trend toward increasingly sophisticated multimodal and multilingual retrieval systems, with his recent work focusing on retrieval-augmented generation evaluation, cross-language model distillation, and modular fusion approaches for complex information needs. His research bridges theoretical advances with practical applications in legal technology, healthcare informatics, and multilingual information access. As an active contributor to the information retrieval community, Yang has presented at numerous conferences including SIGIR, ECIR, and TREC, and has collaborated extensively with researchers across institutions. His work demonstrates a strong commitment to reproducibility and practical evaluation methodologies in information retrieval research.

Vinh Nguyenمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Industry 4.0
• Human-Robot-Machine Interaction
• +۵ مورد دیگر

Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.

• Mobile Generative AI
• Edge General Intelligence
• Quantum Computing and Networking
• +۳ مورد دیگر

Roles & Affiliations: Professor and President's Chair Professor in Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. Member of the IEEE and IET, with roles in editorial boards of major journals like IEEE Transactions on Network Science and Engineering and IEEE Communications Surveys & Tutorials. Current positions: Editor-in-Chief of IEEE Transactions on Network Science and Engineering, Area Editor in multiple journals including IEEE Communications Surveys and Tutorials. Education: Ph.D. (2008) and M.Sc. (2005) in Electrical and Computer Engineering from the University of Manitoba, Canada. B.Eng. (1999) in Computer Engineering from King Mongkut's Institute of Technology Ladkrabang, Thailand. Research Interests: Focuses on mobile generative AI, edge general intelligence, quantum networking, incentive mechanisms, and wireless communication systems. Explores applications in 6G, IoT, UAV networks, and secure communication. Recent Articles & Trends: 15 most recent articles highlight advancements in generative AI for wireless networks, quantum computing integration, secure communication protocols, and AI-driven network optimization. Key themes include semantic communication frameworks, RIS-aided systems, and federated learning in edge networks. Awards: Over 20+ prestigious awards including IEEE Fellow (2017), IET Fellow (2022), Stuart Meyer Memorial Award (2024), and multiple best paper awards at top conferences like IEEE WCNC and IEEE ICC. Advising & Grants: Advisor to numerous students (not listed explicitly). Active in funding initiatives for AI in wireless systems, quantum networks, and low-altitude economy networking. Leads projects on GenAI for networking and 6G innovations. Labs & Teams: Research focuses on CCDS labs at NTU, collaborating on projects like GenAI for ISAC, mobile edge computing, and secure federated learning systems.

Yannis Konstasمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Artificial Intelligence (AI)
• Natural Language Generation (NLG)
• +۳ مورد دیگر

Yannis Konstas is an Associate Professor (Reader in the UK system) at Heriot-Watt University’s School of Mathematical & Computer Sciences, Department of Computer Science. He co-leads the Safe and Secure AI for Robotics (SAIR) theme at the National Robotarium. His research focuses on Responsible, Safe, and Explainable AI applications using NLP, including Gender-Based Violence (GBV) detection via LLMs, Social Behavior Modeling, and Vision-Language-Action (VLA) models for robotics. He holds a PhD from the University of Edinburgh (2013), supervised by Mirella Lapata, and has held postdoctoral roles at the University of Washington and the University of Edinburgh. Research interests include Natural Language Generation (NLG), representations, modeling, and evaluation across domains like math problems and dialogue systems. His work spans Psycholinguistics, semantics, and Information Retrieval. He actively explores new fields, such as LLM interpretability and instruction-driven robotic manipulation. He accepts PhD students and collaborates on interdisciplinary projects, including regulatory compliance digitalization and embodied AI for egocentric video understanding. Education: PhD in Computer Science (2013), University of Edinburgh; Postdoctoral Researcher at University of Washington (2015–2017) and University of Edinburgh.

Eugene Bagdasarianمشاهده پروفایل

استادیار

• Artificial Intelligence Security
• Privacy-Preserving Technologies
• Federated Learning
• +۴ مورد دیگر

Eugene Bagdasarian is an Assistant Professor in the Department of Computer Science at the University of Massachusetts Amherst. His research focuses on security and privacy in AI systems, particularly adversarial machine learning, federated learning vulnerabilities, and contextual integrity frameworks. He holds a PhD from Cornell Tech and a prior engineering degree from Bauman University, with industry experience at Cisco as a software engineer. Research interests include backdoor attacks in federated learning (developing frameworks like Backdoors101 and Mithridates), privacy-preserving technologies such as AirGapAgent and Ancile, and mitigating vulnerabilities in multi-modal systems. His work has addressed instruction injections, adversarial illusions, and bias in generative models, with coverage in media like The Economist and VentureBeat. Notable achievements include the Usenix Security Distinguished Paper Award, Apple Scholars in AI/ML Fellowship, and Digital Life Initiative Fellowship. His contributions span technical domains like differential privacy, secure aggregation, and policy-based federated learning frameworks. Advising and grants: No specific advising/grants listed. However, his research collaborations include developing systems like Ancile (use-based privacy enforcement) and Mithridates (backdoor auditing). Current work trends focus on advancing security in LLM agents, dynamic network firewalls, and ethical AI governance.

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +۶ مورد دیگر

Moncef Gabbouj is a Professor of Signal Processing at the Department of Computing Sciences, Tampere University, Finland. He holds a PhD from Purdue University and has held academic positions including Academy of Finland Professor (2011–2015) and Head of the Department of Signal Processing (2002–2007). His research focuses on artificial intelligence, machine learning, multimedia signal processing, and nonlinear signal/image processing. He has authored over 800 papers and supervised 64 doctoral and 72 master’s theses, earning accolades such as IEEE Fellow, Finnish Cultural Foundation Award, and TUT Foundation Grand Award. Education: BS (Electrical Engineering, Oklahoma State University, 1985), MS and PhD (Electrical Engineering, Purdue University, 1986–1989). Visiting roles include Hong Kong University of Science and Technology and University of Southern California. Research interests include Big Data analytics, multimedia content analysis, pattern recognition, and video coding. He leads the Artificial Intelligence Research Task Force of the Research Alliance on Autonomous Systems (RAAS) and directs the NSF IUCRC Center for Visual and Decision Informatics (CVDI). Awards highlight contributions to signal processing and AI, including IEEE Fourier Award Committee membership and leadership roles in EURASIP and IEEE. Grants and projects span EU Horizon programs, NSF, and industry collaborations.

Hao Hongمشاهده پروفایل

دانشیار

• Metaphysics
• Chinese Philosophy
• Comparative Philosophy
• +۴ مورد دیگر

Hao Hong is an Associate Professor of Philosophy and CLAS-Honors Preceptor at the University of Maine, jointly appointed by the Philosophy Department and the Honors College. He holds a PhD in Philosophy from Indiana University (2018), with minors in History and Philosophy of Science, and prior degrees from Peking University. His primary research focuses on metaphysics, particularly metaphysical anti-realism, truthmaking, and comparative metaphysics across philosophical traditions. He actively engages with analytic philosophy, modern European philosophy, and classical Chinese philosophy like the Daodejing and Laozi. Teaching responsibilities include core philosophy courses (e.g., Metaphysics, Classical Chinese Philosophy) and Honors College preceptorials. His experimental approach to philosophy challenges traditional boundaries, blending Daoist and punk influences in his methodologies. Recent research explores Xuanxue (魏晋玄学) ontology, the metaphysics of Dao, and pedagogical innovations in honors education. Notable publications include works on truthmaking theories, comparative philosophy of language, and metaphysical explanation. Teaching and research interests emphasize interdisciplinary dialogue between Eastern and Western traditions, as seen in his courses on Chinese philosophy and metaphysics. He has presented widely on topics ranging from Daoist nonaction to honors curriculum design, advocating for pedagogy that fosters student-driven scholarship and human flourishing.

Johanna Rimmeleمشاهده پروفایل

پژوهشگر

• Auditory perception/cognition
• Temporal processing
• Neural basis of speech perception
• +۵ مورد دیگر

Dr. Johanna Rimmele is a Researcher at the Max Planck Institute for Empirical Aesthetics in Frankfurt, Germany. She holds a PhD in Psychology from the University of Leipzig (2012) and has conducted postdoctoral research at institutions including the Albert Einstein College of Medicine, New York University, and the University Medical Center Hamburg-Eppendorf. Her work focuses on auditory perception, temporal processing, and the neural basis of speech perception. She has received several awards, including the 8th Dissertation Competition in Psychology and the Sign UP! Careerbuilding grant. Her research explores how temporal structure in speech influences neural processing, particularly through the lens of cortical oscillations. She investigates neuroplasticity in sensory deprivation (e.g., blindness) and the interplay between auditory perception and motor systems. Rimmele has authored over 20 peer-reviewed articles and co-edited a book on brain oscillations in human communication. She is affiliated with the CLaME research group and actively contributes to interdisciplinary studies on music, language, and neural mechanisms. Education: PhD in Psychology, University of Leipzig (2008–2012) Visiting Researcher, Albert Einstein College of Medicine (2006–2011) Diploma in Psychology (minor Philosophy), University of Leipzig (2002–2008) Awards & Grants: 8th Dissertation Competition, German Society for Psychology (2013) Sign UP! Careerbuilding MPG Grant (2016/2017) ERASMUS MUNDUS Stipendium (2011–2012) Key Research Themes: Rimmele’s projects address speech-specific neural processing, the role of delta/theta oscillations in speech segmentation, and how rhythmic speech production influences perception. Her work on neuroplasticity in blind individuals highlights cross-modal reorganization of brain networks.

George Dasoulasمشاهده پروفایل

پژوهشگر

• Graph Machine Learning
• Structured Data Analysis
• Biomedical Informatics
• +۳ مورد دیگر

George Dasoulas is a Postdoctoral Researcher at Harvard University's Department of Biomedical Informatics, affiliated with the Zitnik Lab. He holds a PhD in Computer Science from École polytechnique in Paris, France, and previously worked at Huawei Technologies France. His research focuses on graph machine learning, particularly in biomedical applications and telecommunications, with contributions to graph neural networks (GNNs), attention mechanisms, and topological deep learning. Education: Ph.D., Computer Science (DaSciM group, LIX, École polytechnique); Diploma in Electrical & Computer Engineering (National Technical University of Athens). His work includes developing Lipschitz-normalized attention layers, parametrized graph shift operators, and modularity-aware graph autoencoders. He has been recognized with the 2022 Wojcicki and Troper Fellowship from Harvard's Data Science Initiative. Key Research Themes: Graph Representation Learning, Topological Neural Networks, Equivariant Learning, Multimodal Learning Applications: Biomedical Informatics, Telecommunications, Sustainable AI His articles emphasize scalable GNN architectures, graph-based unlearning strategies, and multimodal protein phenotyping. He has contributed to open-source projects like LipschitzNorm and PGSO, and actively publishes in top conferences (ICML, ICLR, NeurIPS).

• Human-Computer Interaction
• Digital Health
• Explainable Artificial Intelligence
• +۷ مورد دیگر

Professor Nan Jiang is a Professor and Head of the Department of Computing and Informatics at Bournemouth University (BU), where he has been a faculty member since 2010. He leads research and teaching in Human-Computer Interaction (HCI), digital health, and usability engineering. He co-founded the Bournemouth University Human-Computer Interaction (BUCHI) research group in 2012, contributing significantly to the university’s research excellence in REF 2021. MSc in Advanced Methods, Queen Mary, University of London (2002) PhD in Web Usability, Queen Mary, University of London (2009) His research focuses on data-driven usability evaluation, with recent emphasis on digital health applications, explainable AI (XAI), and accessible technologies. He investigates how user interactions can be optimized for health services on mobile devices, particularly for chronic conditions like multiple sclerosis and mental health. His work bridges technical innovation with user-centered design principles. The 15 most recent publications reflect a strong trend in human-AI interaction, digital health interventions, and accessibility. Key themes include trust calibration in AI systems, co-design of health technologies, and the development of assistive tools using smartphone sensors. His research spans both technical AI modeling and deep user experience evaluation. Active reviewer for top HCI conferences and journals Reviewer for UKRI research councils and SBRI External Examiner at Kingston University and University of East London Member of W3C China Former public expert for W3C HTML Working Group Professor Jiang has secured significant research funding from the European Commission (H2020), ERDF, HEIF, and Innovate UK. He has supervised six PhD students to completion and continues to mentor graduate researchers. He has led major projects such as the FACETS digital toolkit for MS patients and Authentibility Pass for accessible authentication. He also contributes to public engagement through workshops and media appearances on digital addiction and CAPTCHA design. He co-founded and co-chaired the HCI Research Group at BU from 2015 to 2023 and has led initiatives in gamified learning, e-recruitment modeling, and intelligent interfaces. His team, often collaborating with Dr. Huseyin Dogan and Dr. Shamal Faily, focuses on real-world applications of HCI in healthcare, security, and social computing.

Thomas Fergusonمشاهده پروفایل

دانشیار

• Philosophical Logic
• Mathematical Logic
• Computational Logic
• +۷ مورد دیگر

Thomas Ferguson is an Associate Professor in the Department of Cognitive Science at Rensselaer Polytechnic Institute (RPI), where he contributes to interdisciplinary research at the intersection of philosophy, logic, and cognitive science. He holds a PhD in Philosophy from the City University of New York Graduate Center and a Dr. Habil. from Ruhr-Universität Bochum, with postdoctoral experience at the University of Amsterdam, University of St. Andrews, and the Czech Academy of Sciences. Education: Dr.Habil., Philosophy, Ruhr-Universität Bochum Ph.D., Philosophy, City University of New York Graduate Center His research focuses on philosophical, mathematical, and computational logic , with specializations in non-classical logics, formal epistemology, and the philosophy of mathematics. He investigates foundational issues in reasoning, language, and truth, particularly through truthmaker semantics, relevance logic, and variable-sharing principles. His work bridges abstract logical theory with applications in artificial intelligence and cognitive modeling. His recent publications (2024–2025) reflect a strong trend in topic theory, relevance logic, modal logic, and non-classical systems , often exploring the interplay between logical structure, information content, and subject-matter. These works appear in leading journals such as Review of Symbolic Logic , Erkenntnis , and Journal of Logic and Computation , demonstrating sustained scholarly impact across logic, philosophy, and computer science. Scientific Awards: Springer Prize for Best Paper at Artificial General Intelligence 2024 for "A Universal Intelligence Measure for Arithmetical Uncomputable Environments" (with James Oswald and Selmer Bringsjord) Thomas Ferguson teaches advanced courses such as Philosophy of Mathematics and Non-Classical Logic , indicating an active role in mentoring graduate and advanced undergraduate students. Although no specific advisees are listed, his teaching and research leadership suggest involvement in student supervision and academic advising. There is no mention of external grants, but his publication record and award suggest competitive research activity. He has no listed labs or research teams in the provided text, but his work is highly collaborative, as seen in co-authored publications.

Jitendra Malikمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Machine Learning
• +۷ مورد دیگر

Jitendra Malik is the Arthur J. Chick Professor of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley, with affiliations in Bioengineering, Cognitive Science, and Vision Science groups. He previously served as Chair of the Computer Science Division (2002-2004) and Department Chair of EECS (2004-2006 and 2016-2017). He also worked part-time as Research Director and Site Lead at Facebook AI Research (Meta Inc.) during 2018-2019. Education : B.Tech in Electrical Engineering (IIT Kanpur, 1980), PhD in Computer Science (Stanford, 1985) Current Research : Computer Vision, Robotics, Machine Learning, Computational Modeling of Human Vision, and Biological Image Analysis Making significant contributions to computer vision , robotics , and machine learning , Malik’s work includes foundational algorithms like anisotropic diffusion , normalized cuts , and R-CNN . His recent research focuses on embodied AI agents , dexterous manipulation , 3D scene reconstruction , and vision-language-action models . His publications have received 11 best paper awards , including test-of-time awards like the Longuet-Higgins Prize (3x) and Helmholtz Prize (3x). Malik has mentored over 80 PhD students and postdoctoral fellows , many of whom hold prominent positions at institutions like MIT, Caltech, Google, and Meta. His lab’s work spans computer vision , robot learning , and 3D modeling , with applications in autonomous systems, medical imaging, and computational biology. Scientific Awards Presidential Young Investigator Award (1989) Distinguished Alumnus Award, IIT Kanpur (2008) IEEE PAMI-TC Distinguished Researcher (2013) K.S. Fu Prize, IAPR (2014) ACM-AAAI Allen Newell Award (2016) IJCAI Award for Research Excellence (2018) IEEE Computer Society Pioneer Award (2019) Fellow, IEEE, ACM, AAAS Member, National Academy of Engineering and National Academy of Sciences As a leader in sensorimotor learning and humanoid robotics , Malik has pioneered approaches for vision-based quadcopter control , humanoid locomotion , and visuo-tactile perception , further advancing the field of artificial intelligence and computational vision .

• Compassion Meditation
• Stress Relief
• Neuroimaging
• +۹ مورد دیگر

Julie Brefczynski-Lewis is a Research Assistant Professor at West Virginia University School of Medicine, holding positions in both the Department of Neuroscience and the Rockefeller Neuroscience Institute. She earned her PhD from the Medical College of Wisconsin and serves as the neuroimaging liaison for the Center for Advanced Imaging. West Virginia University School of Medicine Department of Neuroscience Rockefeller Neuroscience Institute Dr. Brefczynski-Lewis's primary research focuses on compassion meditation training for stress relief, particularly regarding difficult interpersonal relations. She has developed a smartphone application to facilitate daily meditation practice and examines the resulting neural, physiological, and behavioral changes. Her work spans multiple neuroimaging techniques including MRI, PET, EEG, and TMS, with applications in working memory, mindfulness, trust, neonatal cognition, pediatric sleep disorders, stroke studies, depression, and auditory processing in disordered populations. Her recent publications demonstrate a strong trajectory in advancing neuroimaging technology, particularly in developing ambulatory PET systems that allow brain imaging during natural movement. This work represents a significant departure from traditional stationary brain imaging approaches and opens new possibilities for studying brain function in real-world contexts. Neuroimaging liaison for the Center for Advanced Imaging Weekly neuroimaging group meetings at Mondays 4:00 PM Provides training in MRI, PET, EEG, and TMS techniques Assists with experimental design and IRB protocols Dr. Brefczynski-Lewis actively collaborates across disciplines, serving as a bridge between technical imaging development and clinical applications. Her work on compassion meditation represents an important integration of traditional contemplative practices with modern neuroscience methodology, while her contributions to ambulatory PET technology showcase her innovative approach to overcoming limitations in current neuroimaging paradigms.

• Human-Computer Interaction
• Digital Transformation
• User Experience Design
• +۶ مورد دیگر

Professor Maurizio Caon is a faculty member at HES-SO (University of Applied Sciences and Arts Western Switzerland). His primary research areas include Human-Computer Interaction, Digital Transformation, and User Experience Design, with a focus on aging populations and health technology. He leads the HumanTech Institute and contributes to projects like NESTORE COACH and PEGASO, which develop virtual coaching systems for elderly well-being and adolescent health behavior change. His research explores tangible interfaces for e-coaching, gestural interaction design for professional cyclists, and data privacy mechanisms using pictograms. While his publications span topics from AI implementation in HRM to posthumanist perspectives on enhancement, his core work centers on applying digital technologies to improve health outcomes across age groups. He collaborates with institutions like Politecnico di Milano and contributes to European Union-funded initiatives. Professor Caon's recent work examines conversational agents for life-course health interventions, virtual reality exergame design, and wearables' impact on body awareness. His projects integrate behavioral change theories with IoT architectures and human-centered design principles. Despite active research engagement, no scientific awards are explicitly mentioned in the provided texts.