جست‌وجوی استاد و پژوهشگر

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Amir Zamir is a tenure-track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology Lausanne (EPFL) in the School of Computer & Communication Sciences. Previously, he worked at UC Berkeley, Stanford, and UCF with prominent researchers including Silvio Savarese, Jitendra Malik, Mubarak Shah, Rahul Sukthankar, and Leonidas Guibas. He currently leads the Visual Intelligence & Learning Lab at EPFL and serves as chief scientist of Duranta, having previously been the CVML chief scientist of Aurora Solar (a Forbes AI 50 company valued at $4B in 2022) from 2015 to 2022. Dr. Zamir's research spans computer vision, machine learning, and artificial intelligence, with a focus on developing general multi-modal/multi-task vision systems that operate as active agents in the real world. His work emphasizes slow science principles, seeking fundamental understanding over quick publications. Key research areas include embodied vision, multimodal foundation models, computational imaging, and vision-language integration. His notable projects include 4M, Taskonomy, Gibson Environment, Omnidata, and MultiMAE, which have significantly influenced the field of computer vision and embodied AI. Zamir has made substantial contributions to the computer vision community through numerous high-impact publications and leadership roles. His work demonstrates a consistent focus on creating vision systems that go beyond narrow and passive methods toward more general, active, and embodied approaches. The trajectory of his research shows increasing sophistication in handling multiple modalities and tasks within unified frameworks, culminating in recent work on multimodal foundation models that can handle diverse vision tasks. Dr. Zamir has received numerous prestigious awards including the Young Researcher Award 2022 from ECCV, the PAMI Mark Everingham Prize 2022, SIGGRAPH 2022 Best Paper Award for CLIPasso, CVPR 2018 Best Paper Award for Taskonomy, and CVPR 2016 Best Student Paper Award. He is also an ELLIS Faculty Scholar and received the NVIDIA Pioneering Research Award in 2018 for the Gibson Environment. As an advisor, Dr. Zamir has mentored numerous PhD students including Roman Bachmann, Andrei Atanov, Rishubh Singh, Jason Toskov, Kunal Pratap Singh, Zhitong Gao, Mingqiao Ye, and Muhammad Uzair Khattak. His former PhD students include Oguzhan Kar (now at Apple), Alexander Sasha Sax (co-advised with Jitendra Malik, now at Meta FAIR), and Teresa Yeo (now at MIT-Singapore Alliance). Dr. Zamir teaches several advanced courses including CS-503 Visual Intelligence, CS-500 AI Product Management, COM-304 Intelligent Systems, and ENG-615 Topics in Autonomous Robotics. Dr. Zamir leads the Visual Intelligence & Learning Lab at EPFL, which focuses on developing fundamental methods for visual intelligence that can operate effectively in real-world environments. The lab takes an interdisciplinary approach combining computer vision, machine learning, robotics, and cognitive science to create systems that can perceive, understand, and interact with the world. Current research directions include multimodal foundation models, computational imaging, embodied vision, and personalization of generative models.

Beth Piatoteمشاهده پروفایل

دانشیار

• Native American Literature
• Indigenous Studies
• Legal Studies
• +۴ مورد دیگر

Beth Piatote is an Associate Professor of English and Comparative Literature at the University of California, Berkeley. She holds a PhD in Modern Thought and Literature from Stanford University and is an enrolled member of the Confederated Tribes of the Colville Reservation (Nez Perce). Her work bridges scholarly and creative realms, focusing on Indigenous literature, law, language revitalization, and cultural studies. Education: PhD in Modern Thought and Literature (Stanford University). Research interests include Native American legal systems, Nez Perce language preservation, global Indigenous literatures, and creative writing. She co-founded and chairs Berkeley’s Designated Emphasis in Indigenous Language Revitalization and directs the Arts Research Center, where she leads the Indigenous Poetics Lab. Her publications include Domestic Subjects: Gender, Citizenship, and Law in Native American Literature (2013) and the short story collection The Beadworkers (2019), which received multiple literary recognitions. Her plays Antíkoni and Tricksters, Unite! explore Indigenous narratives through performance. Awards include MLA honorable mentions, PEN/Bingham Prize longlistings, and a 2020 Playwrights Retreat win. Current projects involve a scholarly monograph on sensory representations of Indigenous law and creative works in poetry and essays.

Andrew Motionمشاهده پروفایل

استاد

• Poetry
• Creative Writing
• Literary Biography
• +۳ مورد دیگر

Andrew Motion is the Homewood Professor of the Arts at Johns Hopkins University’s Krieger School of Arts & Sciences. He previously held the position of Professor of Creative Writing at Royal Holloway, University of London, from which he moved to his current role in 2015. Motion is a celebrated poet, biographer, and essayist, having served as the UK Poet Laureate from 1999 to 2009. He was knighted in 2009 for his contributions to poetry. His research interests span poetry, literary biography, and creative writing. He has authored biographies of prominent figures like Philip Larkin and John Keats, as well as two volumes of autobiography and a collection of essays. Motion co-edited *The Penguin Book of Elegy* with Stephen Regan, reflecting his engagement with elegiac literature. Motion’s publications include recent works such as *New and Selected Poems 1977-2023* (2023) and *Waders* (2024). His earlier notable works include *In the Blood* (2006) and *Sleeping on Islands* (2023). He has co-founded initiatives like the Poetry Archive and Poetry by Heart, demonstrating his commitment to preserving and promoting poetry. No formal advisees or grants are explicitly documented in the provided text.

• Contemporary Poetry
• Creative Writing
• Irish Studies
• +۲ مورد دیگر

John Redmond is Professor of English Literature at the University of Liverpool's School of the Arts, specializing in contemporary poetry and creative writing. He holds a D.Phil and is an established poet with three collections published by Carcanet Press. His critical work examines privacy in poetic interpretation and Irish literary traditions. Research intersects creative practice with critical analysis, exploring poetry's relationship with folk drama, online culture, and food (gastro-criticism). Authored the textbook 'How to Write a Poem' and edited James Liddy's Selected Poems. Current projects include a novel and new poetry collection. Regularly participates in literary events including readings at the Anthony Burgess Foundation and Christ Church, Oxford. Chairs the School Extenuating Circumstances Committee and contributes to the Centre for New and International Writing.

Amir Ahmadi Arianمشاهده پروفایل

استادیار

• Creative Writing
• Journalism
• World Literature
• +۲ مورد دیگر

Amir Ahmadi Arian is an Iranian-American writer and Assistant Professor in the Department of English, General Literature and Rhetoric at Binghamton University (College of Arts and Sciences). He holds a PhD in Comparative Literature from the University of Queensland, Australia, an MFA in Creative Writing from New York University, and a BSc in Metallurgy Engineering from the University of Tehran, Iran. His research and teaching focus on creative writing, world literature, postcolonial novels, and Persian poetry. He has published two novels, a story collection, and a nonfiction book in Persian, and translated works by E.L. Doctorow, Paul Auster, P.D. James, and Cormac McCarthy into Persian. His English-language publications include fiction in Harper’s , The Paris Review , The New York Times , and other prestigious venues. His debut English novel Then the Fish Swallowed Him (HarperVia/HarperCollins, 2020) received critical acclaim from The New Yorker , Publishers Weekly , and Kirkus Reviews for its political themes and interior portrayal of oppression.

Elliot Bentineمشاهده پروفایل

پژوهشگر ارشد

• Medical Imaging
• Quantum Optics
• Cold Atoms
• +۳ مورد دیگر

Elliot Bentine is a Research Fellow at the University of Oxford, affiliated with the Department of Physics. He also holds a Senior Postdoc position in the Department of Cardiovascular Medicine. His work integrates quantum physics and medical imaging, focusing on the Vascular Imaging Tool for the Auricle (VITA), a non-invasive optical system for cardiovascular health assessment. Collaborates with Dr. Lapidaire (Cardiovascular Medicine) and previously worked in Professor Chris Foot's quantum gases group. Funded by the Royal Academy of Engineering, Department for Science Innovation and Technology (DSIT), British Heart Foundation, and other translational research programs. His research spans quantum optics, ultra-cold matter, and computational simulation, with a recent emphasis on medical device commercialization. Bentine also develops open-source physics simulations (e.g., AtomECS, CRFAP) and Unity-based tools like ProPixelizer, which has sold over 35,000 copies. Scientific Awards: Royal Academy of Engineering Enterprise Fellowship He contributes to academic and creative communities through outreach demos, including browser-based simulations of evaporative cooling and magnet interactions.

Chris Donahueمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Music Technology
• +۵ مورد دیگر

Chris Donahue is an Assistant Professor in the Computer Science Department at Carnegie Mellon University . He also serves as a part-time Research Scientist at Google DeepMind on the Magenta team. His work focuses on leveraging generative AI to enhance human creativity, particularly in music. Education: PhD in Computer Science (UC San Diego), Postdoctoral Scholar (Stanford University) His research spans controllable generative modeling of music and audio , with a focus on real-time interactive systems. Projects like Piano Genie , Beat Sage , and Copilot Arena demonstrate his commitment to real-world deployment. His Generative Creativity Lab (G-CLef) explores AI applications beyond music, including programming and natural language. Recent publications highlight advancements in multimodal music evaluation , real-time adaptation , and AI-driven sound morphing . He co-developed Magenta RealTime , an open-weight real-time music generation model, and MusicFX DJ Mode . Scientific Awards: Best Paper Award (top 1) at NAACL Student Research Workshop 2025 Best Paper Award (top 1% of submissions) at CHI 2025 Best Paper Runner-up at ISMIR 2021 He co-advises PhD students like Wayne Chi (NDSEG Fellow) and mentors Irmak Bukey . His lab receives support from the AIxArts incubator fund at CMU .

Andrew Mitchellمشاهده پروفایل

استاد

• International Economic Law
• Public International Law
• International Trade Law
• +۳ مورد دیگر

Andrew Mitchell is a Professor at the Faculty of Law, Monash University, and a member of the WTO Dispute Settlement Panelists Indicative List. He has extensive legal practice experience with Allens Arthur Robinson and consults for governments, international organizations, and the private sector. Mitchell has taught law in Australia, Canada, Indonesia, Singapore, and the US. He holds law degrees from the University of Melbourne, Harvard Law School, and a PhD from the University of Cambridge. His research focuses on international economic law, public international law, and digital trade governance, with a particular emphasis on the intersection of trade law and public health. Mitchell has secured six major grants, including an Australian Research Council Future Fellowship, and has authored over 170 books and articles. He serves as an editor for Edward Elgar’s International Economic Law Series and multiple journal editorial boards. Recent projects include 'Safeguarding Health in International Investment Agreements' (2022–2025) 'Maritime Cooperation for a Sustainable Indo-Pacific' (2021–2022) 'Global E-Commerce and Cottage Industries in India' (2020–2021) He has contributed to policy submissions on bilateral investment treaties and delivered lectures on data sovereignty and digital trade. His awards include editorial leadership roles at journals like the Journal of World Investment and Trade and Asia Pacific Law Review .

Pascal Frossardمشاهده پروفایل

استاد

• Machine Learning
• Data Science
• Graph Signal Processing
• +۶ مورد دیگر

Pascal Frossard is a Full Professor at the Department of Electrical Engineering in the School of Engineering (STI) at EPFL, with a courtesy appointment in the School of Computer and Communication Sciences. He founded and directs the LTS4 laboratory since 2003, co-leads the EPFL AI Center and Swiss Data Science Center, and serves as Associate Dean for Research at STI. Research Focus: Machine Learning, Graph Signal Processing, AI Applications in Healthcare, Computer Vision Academic Leadership: IEEE Fellow, ELLIS Fellow, Conference Chair roles Key Projects: Digital Pathology for Oncology, Cardiac Digital Twins, Robust Machine Learning Research Interests: His work bridges signal processing, machine learning, and applied mathematics, emphasizing biomedical applications. Recent research includes adversarial robustness in classifiers, network representation learning, and 360-degree video analysis. Scientific Awards: IEEE Fellow ELLIS Fellow Leadership in IEEE technical committees Advising & Grants: Supervised 20+ PhD students and postdocs. Secured major grants from PHRT, Hasler Foundation, FNS-Sinergia, Armasuisse, Google, and Cisco.

Adriana Kovashkaمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Natural Language Processing
• +۷ مورد دیگر

Adriana Kovashka is an Associate Professor at the University of Pittsburgh , affiliated with the School of Computing and Information and serving as Department Chair . Her academic journey began with BA degrees in Computer Science and Media Studies from Pomona College (2008) and a PhD in Computer Science from The University of Texas at Austin (2014). Joined Pitt’s faculty in January 2015 NSF CAREER awardee (2021) Google Faculty Research Award recipient Dr. Kovashka’s research spans Computer Vision , Machine Learning , and Natural Language Processing , focusing on visual rhetoric, weak multimodal supervision, and domain adaptation. She pioneered techniques for analyzing political imagery, developing robust object detection frameworks, and exploring the intersection of visual and textual persuasion through large-scale annotated datasets. Her recent work emphasizes geographic diversity in vision-language systems, audio-visual fusion for domain generalization, and shape-texture bias mitigation in CNNs. Key publications include groundbreaking studies on symbolic reasoning, multimodal dialogue systems, and ethical AI applications in education. Scientific honors include: NSF CRII Award (2016) NSF CAREER Award (2021) Pitt CRDF Award (2016, 2018) Best Paper at ECV Workshop (2021) Google Faculty Research Award (2016, 2018) Dr. Kovashka actively mentors students in multimodal learning projects and collaborates with interdisciplinary teams on NSF-funded initiatives. She co-organizes workshops like the first CVPR workshop on advertisement understanding and leads research groups exploring human-AI co-learning systems.

Alan Ritterمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Alan Ritter is an Associate Professor at the School of Interactive Computing , Georgia Institute of Technology, with additional affiliation to the Machine Learning Center . His research focuses on Natural Language Processing , particularly robust models across domains/languages with fewer labels and efficient resource use, plus data-driven dialogue agents for open-topic conversations. Research Interests : Robust NLP models, cross-lingual transfer, resource-efficient learning, dialogue systems, cultural bias measurement, and privacy-aware language models Students : Mentors Ph.D. students in Georgia Tech's ML and CS programs, including Junmo Kang, Yang Chen, and Duong Minh Le. Alumni include Fan Bai (Ph.D. 2023), Yang Chen (Ph.D. 2024), and Andrew Li (M.S. 2024). Awards : NSF CAREER Award, Amazon Research Award, ACL 2024 Best Social Impact Paper, IUI 2009 Best Student Paper. Recent Work : Studies training budget allocation between supervised and preference-based finetuning, cross-lingual information extraction, cultural bias in LLMs, and privacy risk mitigation in social media disclosures. Service : Served as Program Chair for NAACL 2025, Area Chair for multiple top-tier conferences (COLM, EMNLP, ACL, EACL, AAAI). Email : alan.ritter@cc.gatech.edu

Clare Hemmingsمشاهده پروفایل

استاد

• Feminist Theory
• Queer Studies
• Sexuality Studies
• +۵ مورد دیگر

Clare Hemmings is a Professor of Feminist Theory at the Department of Gender Studies, London School of Economics and Political Science (LSE), where she has been since 1999. Her work bridges feminist theory, queer studies, and sexuality studies, with a focus on how these fields are institutionalized and narrated. She holds a PhD and has authored seminal works like Why Stories Matter (2011) and Considering Emma Goldman (2018), which explore feminist historiography and political ambivalence. Her research emphasizes interdisciplinary methods, including archival interventions and creative writing to challenge dominant narratives. Hemmings’ research interests include feminist epistemology, queer of color critique, and anarchist thought. She has been active in countering 'anti-gender' movements and is currently developing a project on 'Feminist Knowledge Struggles.' Her work is marked by attention to form, affect, and the intersection of nationalism, feminism, and sexuality. She supervises PhD students Senel Wanniarachchi and Rawda Elaskary and has received the FWSA Book Prize 2012 for Why Stories Matter . Hemmings’ articles span feminist theory, political mobilizations, and affect studies. Her recent work engages with family memory archives and decolonial methodologies. She is a prolific scholar, contributing to journals like Memory Studies , Feminist Studies , and Radical Philosophy . Her interdisciplinary approach integrates literary criticism, sociology, and activism, offering transformative frameworks for feminist praxis.

• directing
• screenwriting
• editing
• +۸ مورد دیگر

Wiebke von Carolsfeld serves as a Professor in Cinema at Concordia University, where she holds a primary academic appointment focused on film production and creative practice within the university's cinema program. Her research and creative practice spans directing, screenwriting, and editing across multiple cinematic formats including feature film, independent film, documentary, and shorts . She demonstrates particular expertise in narrative genres such as drama and comedy , with significant experience in international co-productions that facilitate cross-cultural collaborations. Her creative work extends beyond film into prose and novel writing , reflecting an interdisciplinary approach to storytelling. Professor von Carolsfeld maintains active engagement with the film community through her practice-based research and creative output, though specific advising relationships and grant activities are not detailed in available institutional documentation. She remains a current faculty member contributing to Concordia University's cinematic arts education mission.

Osbert Bastaniمشاهده پروفایل

دانشیار

• Machine Learning
• Neurosymbolic AI
• Program Synthesis
• +۱۰ مورد دیگر

Osbert Bastani is an Associate Professor at the Department of Computer and Information Science, University of Pennsylvania, leading the trustml@Penn research group. He is affiliated with the ASSET , PRECISE , and PRiML centers, and the PLClub research group. His research focuses on Trustworthy Neurosymbolic Systems , Synthesizing Neurosymbolic Programs , and Machine Learning for Programmer Productivity , with applications in verification, fairness, and human-AI collaboration. He received the NSF CAREER Award in 2023. His recent publications (2024-2025) emphasize AI Safety , LLM Robustness , and Algorithmic Fairness , including work on adversarial robustness, conformal prediction, and program synthesis. Students he has advised include Sagnik Anupam, Stephen Mell, Jason Ma, Shuo Li, and others. Awards: NSF CAREER Award (2023)

Bo Daiمشاهده پروفایل

استادیار

• Reinforcement Learning
• Machine Learning
• Data-Driven Decision Making
• +۳ مورد دیگر

Bo Dai is an Assistant Professor at the School of Computational Science and Engineering, Georgia Institute of Technology, and a Staff Research Scientist at Google DeepMind. His research focuses on Agent AI, Generative Models, and Representation Learning, aiming to create decision-making agents through world modeling. He holds a Ph.D. from Georgia Tech (2013–2018) and previously worked at Google Brain. Dai has authored numerous influential papers in top conferences like NeurIPS, ICML, and ICLR, and received the AISTATS Best Paper Award (2016). Education: Ph.D., School of Computational Science and Engineering, Georgia Tech (2013–2018) Research Interests: Reinforcement Learning and Representation Learning for decision-making agents Generative Models and their integration with Agent AI Provable and scalable algorithms for real-world applications His work bridges theory and practice, emphasizing spectral representations and provable guarantees in complex systems. Key Article Trends: His recent work emphasizes scalable spectral methods for multi-agent systems, diffusion policies, and representation-based techniques in reinforcement learning. He also explores LLM alignment and sim-to-real transfer learning. Awards: AISTATS Best Paper Award (2016) NeurIPS Workshop Best Paper (2017) Ross Fellowship (2011–2012) Advising & Grants: Supervises 6 current Ph.D. and M.S. students. Active in organizing workshops on reinforcement learning and serves as an Area Chair for top conferences. Labs & Software: Leads development of Representation-based Reinforcement Learning and Repr-Control toolboxes for nonlinear control and stochastic systems.