جست‌وجوی استاد و پژوهشگر

Michael Doyleمشاهده پروفایل

استاد

• Mental Health
• Forensic Mental Health
• Clinical Risk Assessment
• +۱۲ مورد دیگر

Professor Michael Doyle is Professor of Mental Health at the University of Huddersfield, with a joint appointment at South West Yorkshire Partnership NHS Foundation Trust and an Honorary Clinical Chair at the University of Manchester. He is based in the Department of Nursing within the School of Human and Health Sciences and is actively accepting PhD students. Research Interests: His work centers on forensic mental health, clinical risk assessment and management, mental health nursing, suicide prevention, cognitive-behavioural therapy, and digital mental health innovations. He contributes to UN Sustainable Development Goals related to mental health and wellbeing. Recent Research Trends: His recent publications (2023–2025) reflect a strong focus on digital mental health tools (e.g., HAMHA app), AI in suicide risk prediction, GPS technology for dementia care, and co-produced interventions for youth substance use. He also investigates forensic risk, FASD in Indigenous populations, and de-escalation training in acute settings. Scientific Awards: Rüdiger Müller-Isberner Award (2022) Advising and Grants: He has attracted significant research funding and supervises PhD students. He has led major projects such as the West Yorkshire suicide prevention network and current research on health disparities and mental health in minority youth. Labs and Teams: He is a member of the Centre for Applied Research in Health at the University of Huddersfield and collaborates with NHS and international partners on forensic and public mental health initiatives.

• Electroacoustic Music
• Sound Art
• AI and Music Creativity
• +۸ مورد دیگر

Douglas Van Nort is an Associate Professor at York University's Department of Computational Arts, School of the Arts, Media, Performance and Design (AMPD). He holds a PhD in Music Technology from McGill University and has held roles including Canada Research Chair in Digital Performance (2015-2025), Banting Fellow at Concordia University (2013-2014), and Research Associate at Rensselaer Polytechnic Institute (2008-2013). His work integrates electroacoustic music, AI-driven systems, and immersive performance environments. Education: PhD in Music Technology (McGill, 2010), MFA in Electronic Arts (Rensselaer, 2003), MA/BA in Mathematics (SUNY Potsdam, 2001). Research Interests: Telematic performance, human-machine improvisation, ecoacoustics, and Deep Listening practices. Van Nort's awards include the 2010 ICMC Best Paper Award and Canada Research Chair designation. His grants total over CAD 5M, including CFI infrastructure funding for the DisPerSion Lab. He teaches courses in electro-acoustic music, interactive media, and digital performance. His DisPerSion Lab explores distributed performance and sensorial immersion.

Luke Skrebowskiمشاهده پروفایل

مدرس

• Contemporary Art History
• Conceptual and Postconceptual Art
• Institutional Critique
• +۶ مورد دیگر

Luke Skrebowski is a Lecturer in Contemporary Art within the Department of Art History at the University of Manchester's School of Arts, Languages and Cultures. His academic profile demonstrates extensive expertise in late 20th and early 21st century art across the UK, Europe, the USA and Brazil, with particular specialization in Conceptual and Postconceptual art movements. He contributes significantly to the field through teaching, research, publication, and curatorial practice, maintaining active roles in major academic and artistic institutions. Skrebowski's educational background includes: English Literature undergraduate degree from King's College, Cambridge MA and PhD in History of Art and Design from Middlesex University's Centre for Research in Modern European Philosophy His research interests center on the history and theory of contemporary art with particular focus on institutional critique, the ecological turn in artistic practice, and the relationship between art and technocracy. His scholarly work bridges historical analysis of 1960s-70s conceptual practices with contemporary artistic responses to ecological and computational challenges, examining how artists navigate post-institutional critique frameworks. This trajectory reflects a sophisticated evolution from examining historical art movements to analyzing current artistic engagements with systemic environmental concerns. Skrebowski's recent publications reveal a clear scholarly trajectory toward ecological and computational themes in contemporary art, moving beyond traditional institutional critique frameworks. His work demonstrates increasing engagement with how contemporary artists address ecological crises while maintaining critical distance from institutional structures. The recurring theme across his recent output examines artistic practices that operate in the space between institutional critique's historical achievements and contemporary ecological imperatives. Skrebowski actively contributes to academic discourse through multiple channels: Serves on the editorial board of the MIT journal ARTMargins Co-curated significant exhibitions including 'Plastic Words' (2014-15) at Raven Row and 'Counter-Production' (2012) at the Generali Foundation Authored catalogue essays for major exhibitions including Tate's 'Conceptual Art in Britain: 1964-79' (2016) Currently developing research projects on environmentalities of art, architecture and media Skrebowski maintains an active supervisory role, welcoming doctoral and postdoctoral work related to his specializations. His current supervision portfolio demonstrates thematic continuity with his research interests while expanding into emerging areas within contemporary art practice. He has successfully guided PhD candidates through completion on diverse topics including Rasheed Araeen, radical British art of the 1970s, Contemporary Video art, and Martin Kippenberger, while currently mentoring researchers exploring Arte Povera, Institutional Critique legacies, and Surrealism's contemporary relevance. His supervision approach emphasizes developed research proposals that connect with broader theoretical frameworks in contemporary art history and theory. Skrebowski's academic work is organized through Manchester's research beacons including Digital Futures and Creative Manchester, connecting his specialized art historical research with broader institutional research priorities. His project 'Machine visions and eyeless sight - On Art, Photography and Artificial Intelligence' (2019-2020) exemplifies this interdisciplinary approach, bridging art history with emerging technological concerns.

Anurag Purwarمشاهده پروفایل

دانشیار

• Robotics Design
• Kinematic Analysis
• Machine Learning in Engineering
• +۳ مورد دیگر

Dr. Anurag Purwar is an Associate Professor of Mechanical Engineering at Stony Brook University, directing the Computer-Aided Design and Innovation Lab and serving as PI for NSF I-Corps. He holds a Ph.D. from Stony Brook (2005) and a B.Tech. from IIT Kanpur (1995). His research merges rigid body kinematics with machine learning for mechanism and robot design, yielding 107+ peer-reviewed publications and patents licensed to industry. Key projects include the sit-to-stand walker assistive device (SAE Top 100 Award) and MotionGen software tools. Education: Ph.D., Stony Brook University (2005); B.Tech., IIT Kanpur (1995) Awards: A.T. Yang Award (2017), SAE Top 100 Award (2016), ASEE Distinguished Teaching Award (2021) Leadership: Program Chair (ASME 2014), Conference Co-Chair (IDETC 2016), NAI Senior Member Research focuses on machine learning-driven design of mechanisms, robotics, and assistive technologies. His labs develop algorithms for path synthesis, generative design, and kinematic analysis. He actively commercializes innovations through industry partnerships and has spun off startups like MotionGen.io.

Shlomo Dubnovمشاهده پروفایل

استاد

• Music Technology
• Audio Signal Processing
• Machine Learning for Audio
• +۳ مورد دیگر

Shlomo Dubnov is a Professor in the Department of Music at the University of California, San Diego. With an h-index of 36 and over 4,803 citations, his research spans the intersection of music, audio processing, and machine learning, making significant contributions to music information retrieval, sound synthesis, and speech recognition technologies. Dr. Dubnov's primary research interests focus on Music Technology and Audio Signal Processing , with particular expertise in: Machine learning applications for music and audio analysis Sound texture synthesis and modeling Music improvisation systems and computational creativity Audio adversarial examples and security Pitch tracking in noisy environments Multimodal learning for audio-text alignment His recent work demonstrates a strong trend toward applying transformer architectures and contrastive learning techniques to audio processing tasks, with publications in top conferences like IEEE International Conference on Acoustics, Speech, and Language Processing. Dr. Dubnov's research bridges theoretical music concepts with practical audio engineering applications, creating innovative solutions for music generation, analysis, and security. Dr. Dubnov has established productive collaborations with researchers across disciplines, particularly with: G. Assayag (102 Publications • 2,475 Citations) - music technology and improvisation systems Taylor Berg-Kirkpatrick (31 Publications • 1,459 Citations) - machine learning applications K. Chen (18 Publications • 1,150 Citations) - audio transformer models Cheng-i Wang (21 Publications • 305 Citations) - music information retrieval His work is supported by grants focused on advancing the state-of-the-art in music technology, audio processing, and machine learning applications for creative domains. Dr. Dubnov leads research in the Music Technology laboratory at UC San Diego, where his team develops innovative systems for music analysis, synthesis, and human-computer interaction in musical contexts. The lab focuses on creating intelligent systems that can understand, generate, and interact with musical content in real-time applications.

• Computer Science
• Artificial Intelligence
• Creativity Support Tools
• +۲ مورد دیگر

Konstantinos Zachos is a Research Fellow and Chief Technology Officer at the Centre for Creativity enabled by AI (Bayes Business School, City, University of London). His work focuses on integrating Artificial Intelligence with Human-Computer Interaction to develop Digital Creativity Tools that enhance innovation across sectors like journalism, manufacturing, social care, and elite sports training. He co-leads the JECT.AI spin-out and the QUEST research project. Expertise : AI for Creativity, Software Engineering, Requirements Engineering, Service Discovery Collaborations : Co-developed tools with Neil Maiden, James Lockerbie, and teams at City, University of London and Miele GmbH His recent publications highlight Generative AI applications in opportunity discovery, with empirical evaluations in newsrooms and manufacturing environments. Key themes include: Creative process modeling Cross-domain AI integration Interactive systems for collaborative innovation Requirements surfacing in evolving systems Konstantinos maintains IEEE membership and actively bridges technical innovation with Human-Centered Design principles.

Philip Hannaمشاهده پروفایل

استاد

• Artificial Intelligence in Education
• Software Engineering Education
• Educational Technology
• +۳ مورد دیگر

Philip Hanna is a Professor and Dean of Education at the School of Electronics, Electrical Engineering and Computer Science , Queen's University Belfast. His academic work focuses on artificial intelligence in education , software engineering pedagogy , and gender equality in STEM . Active researcher with 56 total publications (as of 2024) Recipient of four major teaching awards including the National Teaching Fellowship Collaborates on projects like the Creative Industries Cluster Programme and KTP initiatives His research explores the intersection of generative AI , large language models , and student-centered learning , particularly in software engineering contexts. Recent work analyzes gender dynamics and pedagogical innovation in UK higher education. Key article themes include AI-driven curriculum design , ethical technology integration , and adaptive learning environments , with a focus on practical implementation frameworks. Scientific Awards : National Teaching Fellowship (2017) EPS Dean's Prize in Education Queen's Teaching Awards (2007, 2012) Active in educational research projects since 2000, including the DTI/Bluetech collaboration and AHRC-funded initiatives.

Jennifer Cognard-Blackمشاهده پروفایل

استاد

• Nineteenth-Century Women Writers
• Feminist Literary Theory
• Fiction Writing
• +۷ مورد دیگر

Jennifer Cognard-Black is a Professor of English at St. Mary's College of Maryland, specializing in feminist literary theory, food studies, and Victorian literature. She serves as Director of National Fellowships and Awards and has been recognized with prestigious honors including the Robert Foster Cherry Award for Great Teaching (2020) and multiple Fulbright Scholar appointments. B.A., Nebraska Wesleyan University, 1991 M.A., Iowa State University (Creative Writing: Fiction and The Essay), 1994 Ph.D., The Ohio State University (Nineteenth-Century Anglo-American Women Writers and Feminist Literary Theory), 2000 Her research explores intersections between literature and food, Victorian cultural production, and women's relationships with technology. She has published widely in these areas, including award-winning books like From Curlers to Chainsaws: Women and Their Machines (2016) and Books that Cook: The Making of a Literary Meal (2014). Her latest work Good Eats: 32 Writers on Eating Ethically (2024) examines sustainable consumption through interdisciplinary narratives. As a public intellectual, she has produced lecture series with The Great Courses (2016, 2019) and Audible.com (2021), while contributing to Ms. Magazine and publishing short fiction under the pseudonym J. Annie MacLeod. Robert Foster Cherry Award for Great Teaching (2020) Maryland State Arts Council Independent Artist Award (2021) Senior Fulbright Scholar to the University of Amsterdam (2020) Mid-Atlantic Arts Foundation Creative Fellowship (2018) Fulbright Scholar to the University of Ljubljana (2012)

Ellyssa Valenti Kroskiمشاهده پروفایل

مدرس

• Information Architecture
• Information Systems and Technologies
• Emerging Web Technologies
• +۱۴ مورد دیگر

Ellyssa Valenti Kroski is a Lecturer at the School of Library and Information Science, San José State University, and also serves as adjunct faculty at Drexel University. She is the Director of Innovation & Engagement at the New York Law Institute, where she leads technological and outreach initiatives. Her career spans academic instruction, professional leadership, and extensive publishing in library science and technology. MLIS, Library and Information Science, Long Island University (2004) B.A., Mount Holyoke College (1991) Her research and teaching focus on emerging technologies in libraries , including artificial intelligence, virtual reality, gamification, makerspaces, and digital literacy. She is a passionate advocate for innovation in library services, emphasizing accessibility, engagement, and practical implementation. Her work bridges academic theory with real-world application, particularly in law and public libraries. The 15 most recent publications reflect a strong trend toward interactive and immersive learning experiences , AI integration in legal information systems , and hands-on, community-driven library programming . Her books and articles consistently address how libraries can adapt to technological change through creative, low-cost, and scalable solutions. AALL's 2020 Joseph L. Andrews Legal Literature Award for Law Librarianship in the Age of AI 2017 Library Hi Tech Award from ALA/LITA for long-term contributions to LIS technology Kroski has been a key advisor and educator in digital transformation, co-developing training programs such as Launching and Expanding Virtual Services with the American Library Association. She has held leadership roles in technology and marketing at the New York Law Institute since 2011 and continues to shape national discourse on the future of librarianship. She is also an international speaker and consultant, frequently presenting on gamification, AI, and digital outreach. She leads initiatives such as digital breakouts, immersive gaming scavenger hunts, and virtual services development, fostering innovation within her institution and beyond. Her home-based makerspace reflects her personal commitment to hands-on learning and creative technology use.

Nicole Mitchell Ganttمشاهده پروفایل

استاد

• Afrofuturism
• Jazz
• Experimental Music
• +۷ مورد دیگر

Nicole Mitchell Gantt is a Professor of Composition & Computer Technologies at the University of Virginia , celebrated for her pioneering work in Afrofuturism , Experimental Jazz , and Intercultural Collaboration . Her career spans over two decades as a flutist, composer, and educator , blending science fiction narratives with Black cultural legacy . United States Artist Fellow (2020) Doris Duke Artist Award (2012) Herb Alpert Award in the Arts (2011) Downbeat Magazine/Critics Poll Top Flutist (2010–2022) Her research and creative practice explores: Mythological and ancestral storytelling in sound Integration of Octavia Butler’s Earthseed philosophy Human-computer musical dialogue via systems like VIVO Reimagining social structures through speculative composition Expanding the Association for the Advancement of Creative Musicians (AACM) legacy Key projects include: Mandorla Awakening II: Emerging Worlds (2017) - MCA Chicago commission EarthSeed (2020) - Octavia Butler-inspired sonic manifesto Medusae (2022) - Human-AI improvisation experiment Bamako*Chicago Sound System (2024) - Malian-American sonic fusion

• Natural Language Processing
• Automatic Text Summarization
• Sentence Generation
• +۵ مورد دیگر

Juan-Manuel Torres Moreno is an Associate Professor (Maître de Conférences HDR HC) at the University of Avignon (UAPV), where he conducts research in Natural Language Processing at the Laboratoire Informatique d'Avignon (LIA). His academic position includes the HDR (Habilitation à Diriger des Recherches), a post-doctoral qualification in France that enables supervision of PhD students. His primary research interests focus on Natural Language Processing, with particular emphasis on automatic text summarization, sentence generation, and phrase compression algorithms. His work spans both theoretical and applied aspects of NLP, incorporating machine learning techniques and artificial intelligence approaches. His research has significant applications in multilingual processing, text mining, and information extraction systems. Torres Moreno's publication record demonstrates a consistent trajectory in advancing text summarization techniques, with recent work exploring cross-lingual approaches, multimedia content processing, and deep learning applications. His research often bridges the gap between theoretical linguistic concepts and practical implementation, with publications spanning from fundamental NLP algorithms to applied systems for video summarization, speech processing, and multilingual document analysis. He actively collaborates with researchers across multiple institutions including École Polytechnique de Montréal (with 50 joint publications), Laboratoire Informatique d'Avignon (83 publications), and Universidad Nacional Autónoma de México. His work appears in reputable journals such as Computer Speech and Language, Data and Knowledge Engineering, and Pattern Recognition Letters. Within the Laboratoire Informatique d'Avignon, Torres Moreno contributes to the Language Processing research theme, working with colleagues on projects related to multilingual information access, opinion mining, and text analysis. His research group has participated in several evaluation campaigns including DEFT (Défi Fouille de Textes) challenges, focusing on information retrieval and sentiment analysis tasks.

Lalit Jainمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Artificial Intelligence
• +۹ مورد دیگر

Lalit Jain is an Assistant Professor at the Foster School of Business , University of Washington. His research bridges theoretical mathematics with practical machine learning systems, focusing on adaptive data collection under budget constraints, applied to marketing, cognitive psychology, and humor detection. Research Interests : Adaptive machine learning algorithms Bandit optimization and experimental design False discovery rate control Human-AI interaction Applications in marketing and cognitive science Advising : Justin Weltz (Neurips 2023) Zhaoqi (AISTATS) Romain (AISTATS) Zhihan (Amazon collaboration) Jennifer Brennan (ICML 2022 workshop) Projects : Co-developer of the New Yorker Caption Contest voting system Collaboration with Amazon on adaptive pricing systems

Michael W. Schmidtمشاهده پروفایل

پژوهشگر

• Philosophy of Technology
• Reflective Equilibrium
• Epistemology
• +۹ مورد دیگر

Dr. Michael W. Schmidt is a postdoctoral researcher at the Karlsruhe Institute of Technology (KIT) , affiliated with the Institute for Technology Assessment and Systems Analysis (ITAS) since 2020. His work bridges philosophy with technology assessment, focusing on the Philosophy of Technology , Reflective Equilibrium , and Political Philosophy . He explores ethical dimensions of autonomous vehicles , AI ethics , and robotics , emphasizing public reason and human rights . Education : PhD in Philosophy (KIT, 2022) with a thesis on reflective equilibrium as a form of life. Research Themes : Methodology of reflective equilibrium, epistemology of understanding, Rawlsian political theory, and ethics of socio-technical systems. Recent Publications : Analyze AI ethics implementation, social media's impact on democracy, and governance frameworks for sustainable energy transitions.

Ann O'Sheaمشاهده پروفایل

استاد

• Mathematics Education
• Complex Analysis
• Curriculum Design
• +۴ مورد دیگر

Professor Ann O'Shea, affiliated with the Department of Mathematics and Statistics at Maynooth University, is a leading expert in Mathematics Education. Her career spans both theoretical research in Several Complex Variables and transformative work in educational practices. PhD from University of Notre Dame (1991) Faculty of Science & Engineering, Maynooth University Focus on curriculum development and technology integration Research Interests : Task design for advanced mathematical thinking Technology's role in formative assessment Teacher professional development Mathematics support effectiveness Recent Publications (2023–2017) reveal consistent focus on: Transition challenges between school/university mathematics Impact of pandemic on higher education Comparative studies across cultural contexts Assessment reform and creative reasoning Practice Grants : IRC Postdoctoral Application (€93,830.79, 2019–2021) Collaborative Networks : Active involvement in European Society for Research in Mathematics Education (CERME) and International Network for Didactic Research in University Mathematics (INDRUM).

Timothy Sherwoodمشاهده پروفایل

استاد

• Computer Architecture
• Security
• Machine Learning
• +۷ مورد دیگر

Timothy Sherwood is a Professor at the University of California, Santa Barbara (UCSB) in the Department of Computer Science , with affiliate status in Electrical and Computer Engineering . He serves as the Dean of the College of Creative Studies and leads the UCSB Computer Architecture Lab (ArchLab) . He co-founded the interdisciplinary SEEDS program and Cycuity , and has consulted for the UCSB Office of Research , including a tenure as Associate Vice Chancellor for Research .