Find Academic Supervisors

Margaret CarlyleView profile

Assistant Professor

• History of Medicine
• History of Science and Technology
• Gender and Women's Studies
• +6 more

Margaret Carlyle is an Assistant Professor in the Department of History and Sociology at the Irving K. Barber Faculty of Arts and Social Sciences, University of British Columbia Okanagan. She is a graduate student supervisor and member of UBCO’s Science and Technology Studies (STS) Collective. Her academic journey includes postdoctoral research at the University of Chicago and University of Cambridge, and a Visiting Assistant Professor role at the University of Minnesota. Research Interests: Carlyle specializes in the history of medicine, science, and technology within early modern France and transatlantic contexts. Her work examines women’s roles as experimentalists, artisans, and translators in scientific knowledge formation, utilizing archival and museum sources. Key themes include scientific imaging, medical technologies, gender and women’s studies, and the intersection of race and science in the French Atlantic World. Selected Articles: Recent publications analyze Enlightenment anatomy education, reproductive technologies, and transnational scientific networks. Her research spans topics from midwifery training to fetal representation in media, reflecting interdisciplinary engagement with medical humanities and material culture. Scientific Awards: SSHRC Insight Development Grant (2021–2023) UBCO Curricular Innovation Grant (2023) CIHR Project Grant (2023–2027) Molina Fellow at Huntington Library (2014) Teaching & Public Engagement: Offers courses on science and empire, reproductive technologies, and pandemics. Created the SSHRC-funded Reproductive Technologies podcast and co-curated the University of Chicago’s 'Fetus in Utero' digital exhibition. Collaborates on medical education tools for chronic gynecological pain.

• Autonomous Driving
• Sensor Fusion
• Intelligent Transportation Systems
• +5 more

Prof. Dr.-Ing. Christoph Stiller is a full professor at the Karlsruher Institut für Technologie (KIT) and serves as the director of the Institute of Measurement and Control Technology (Institut für Mess- und Regelungstechnik, MRT). His work focuses on autonomous driving, sensor fusion, probabilistic estimation, HD mapping, motion planning, and intelligent transportation systems. Education: Details on his academic degrees are not provided in the text, but he holds the title of Dr.-Ing. indicating a doctoral degree in engineering. Research Interests: Prof. Stiller's research spans a wide array of topics critical to the development of autonomous vehicles. His work includes: Sensor Fusion: Integrating data from LiDAR, cameras, and radar to create robust perception systems. HD Mapping & Localization: Developing high-definition maps and precise localization techniques for urban and highway environments. Motion Planning & Decision Making: Creating algorithms for safe and efficient trajectory planning under uncertainty. Machine Learning & AI: Applying deep learning and reinforcement learning to perception, prediction, and control tasks. Publication Trends: His recent publications (2023–2025) emphasize robust traffic light detection, image stitching for panoramic views, motion prediction using redundancy reduction, and safety-enhanced model predictive control. The work increasingly integrates learning-based methods with classical control and estimation theory. Scientific Awards: No specific awards are listed in the provided text. Teaching & Supervision: Prof. Stiller teaches foundational and advanced courses in measurement and control systems, probabilistic estimation, and autonomous driving. He holds regular office hours during both summer and winter semesters and is actively involved in advising students and researchers. Labs & Teams: He leads the Institute of Measurement and Control Technology (MRT) at KIT, which is engaged in cutting-edge research in autonomous systems. The institute collaborates with industry and academia on large-scale projects such as UNICARagil and various European initiatives.

• African Studies
• Linguistics
• Historical Anthropology
• +8 more

Katrin Bromber is a German Researcher at the Centre for Modern Oriental Studies in Berlin, where she has led the research group "Progress and its Discontents: Ideas, Practices, Materiality" since 2014. Her career spans senior research roles at ZMO and academic teaching positions at the University of Vienna. Nationality: German. Language skills: Native German, fluent English/Swahili, moderate Amharic, good reading knowledge in French/Russian, basic Tigrinya. Habilitation (2009–): African Studies, University of Vienna PhD (1993): African Linguistics, University of Leipzig MA (1988): Swahili Studies, University of Leipzig Katrin Bromber's research interrogates intersections of body politics , sports history , Swahili linguistics , and Ethiopian modernity . Her work traces how physical culture, media representation, and colonial/imperial narratives shape national identities across Africa and Asia. Current focus: "Progress" as contested concept in Ethiopian and Gulf urbanism. Key article trends reflect her translocal methodology: 2017 studies on Ethiopian stadiums and fitness culture ; 2014-2013 publications analyzing East African military press , sports branding in the Gulf , and Swahili poetry ; 2007-2000 works on colonial linguistic politics , Indian Ocean slavery , and German colonial Swahili promotion . Recurring sub-fields: body as political text, translocal modernity, media historiography. Scientific Awards: Research Grant of the Berlin City Council (1999-2000): Gendered Slavery study Service to the Scientific Community: Chairwoman, Academic Association for Horn of Africa Studies (2012–) Editorial Advisory Board - Stichproben. Vienna Journal of African Studies (2015–) Editorial Advisory Board - Studies of Department of African Languages and Cultures (2015–) Teaching Experience: Textlinguistics, Mediacommunication, African Linguistics, Swahili (elementary/advanced), Swahili Literature, Swahili in Arabic Script at Leipzig, Humboldt-Berlin, Free Berlin, and Vienna universities Anthropology of the Body at Mekelle University Summer School Field Research: Tanzania (1993-2003): Swahili Poetry, Intellectual History Kenya (2005): Indian Ocean WW2 UAE/Bahrain (2009): Sports and Body Cultures Ethiopia (2009-2015): Sports, Body Politics

Karen RedrobeView profile

Professor

• Film theory
• War and the academy
• Violence and media
• +8 more

Karen Redrobe is the Elliot and Roslyn Jaffe Professor and Undergraduate Chair in the Department of Cinema and Media Studies at the University of Pennsylvania's School of Arts & Sciences. She has held leadership roles as Department Chair of History of Art, Director of the Wolf Humanities Center, and Director of the Program in Cinema and Media Studies. Research Focus Her scholarship explores intersections of film theory, war and academia, violence in media, animation theory, feminist critique, death penalty photography, and the relationship between cinema and contemporary art. She emphasizes intermediality, experimental cinema, and critical pedagogy. Awards Society of Cinema and Media Studies’ 2025 Distinguished Pedagogy Award Collaborations and Service She co-chairs the Scribe Video Center Board of Directors and serves on the editorial board of MIT's Grey Room . She is actively involved in graduate groups across Comparative Literature, English, FIGS, and History of Art.

Jason J. CorsoView profile

Professor

• Computer Vision
• Robotics
• Artificial Intelligence
• +6 more

Dr. Jason J. Corso is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan . His research focuses on high-level computer vision , video understanding , and the intersection with human language and robotics . His work emphasizes Bayesian approaches to segmentation and recognition, with applications spanning biomedicine and recreational video analysis . He is particularly known for contributions to video object segmentation , activity recognition , and vision-language frameworks . Scientific awards include: NSF CAREER award (2009) ARO Young Investigator award (2010) Google Faculty Research Award (2015) DARPA CSSG grant He also leads major projects like YouCook2 dataset , Video2Text.net , and LIBSVX framework.

• Swedish language education
• Literary didactics
• Textbook analysis
• +7 more

Senior Lecturer Christoffer Dahl is a faculty member at Kristianstad University within the Faculty of Teacher Education and the Department of Subject Teacher Education . He specializes in Swedish with a didactic focus and is an active member of the Learning in Language and Literature (LiLL) research group. Since 2015, he has contributed significantly to both teaching and research in literature education, particularly in the areas of textbook analysis, multimodal discourse, and literary didactics. Research Focus: Theoretical and methodological intersections between linguistics , literary studies , and didactics Reception theory, genre theory, and discourse analysis in educational contexts Multimodal analysis of literature textbooks Comparative Nordic textbook studies (Denmark, Norway, Sweden) Intersectionality in literature education His current major project is a comparative study that builds on his doctoral thesis, Litteraturstudiets legitimeringar , analyzing how Nordic literature textbooks legitimize the study of literature through writing and images, with a focus on intersectionality. Teaching & Collaboration: Christoffer teaches text analysis and children's literature . He has collaborated since 2013 with Mikael Nordenfors (University of Gothenburg) on the Swedish National Agency for Education’s website, contributing to the SMDI network (Swedish with a didactic orientation). Supervision & Academic Service: Supervised 75 student works Active peer reviewer for journals and publishers (e.g., Routledge, Taylor & Francis) Organizer and participant in multiple academic conferences and workshops Consultant and expert reviewer for educational agencies

Michael VershininView profile

Assistant Professor

• Molecular motors
• Biophysics
• Microtubule-based transport
• +8 more

Michael Vershinin is an Assistant Professor of Physics and Astronomy at the University of Utah, specializing in molecular motors and biophysics. He is also affiliated with the Biological Chemistry Program and leads a lab focused on understanding how molecular motors like kinesin and dynein drive intracellular transport and viral assembly. He earned his B.S. from Cooper Union College and Ph.D. from the University of Illinois, Urbana-Champaign. His research interests include: Molecular motor function and regulation Single-molecule biophysics Microtubule-based transport Viral particle assembly (especially SARS-CoV-2 and HIV) Optical trapping and fluorescence microscopy His lab uses in vitro reconstitution and optical trapping to dissect the biophysical properties of motor proteins and their regulation. He collaborates across disciplines, integrating biochemistry, molecular biology, physics, and computational modeling to explore how complex biological behaviors emerge from simpler components. His publications span a wide range of topics, from the structural stability of SARS-CoV-2 virus-like particles to the mechanical behavior of kinesin and dynein motors. A recurring theme is the use of quantitative biophysical tools to understand how motor proteins navigate complex cytoskeletal environments and how viruses hijack these systems for transport. He currently advises no listed students in the provided text and has not received any explicitly listed awards. His lab is located at the University of Utah and can be reached at vershinin@physics.utah.edu .

Aykut KoçView profile

Associate Professor

• Machine Learning
• Signal Processing
• Natural Language Processing
• +1 more

Dr. Aykut Koç is an Associate Professor at the Department of Electrical and Electronics Engineering and a faculty member of the National Magnetic Resonance Research Center (UMRAM) at Bilkent University, Turkey. He leads the AykutKoc Lab, focusing on interdisciplinary research at the intersection of machine learning, signal processing, natural language processing, and graph signal processing. Education: B.S. in Electrical and Electronics Engineering (2005, Bilkent University); M.S. in Electrical Engineering (2007), M.S. in Management Science and Engineering (2009), and Ph.D. in Electrical Engineering (2011) under Professor Lambertus Hesselink at Stanford University; LL.B. in Law (Ankara University). His research integrates mathematical signal processing techniques (e.g., fractional Fourier and linear canonical transforms) with modern machine learning architectures like transformers and graph neural networks. Recent work explores semantic communication systems, bias mitigation in legal language models, and cross-modal applications in biomedical imaging and radar technology. Dr. Koç has published extensively in IEEE and Springer journals, with recent articles analyzing Fourier-enhanced transformers, graph-based NLP methods, and time-vertex signal analysis. His work addresses both theoretical innovations and practical applications, including schizophrenia diagnosis, legal outcome prediction, and maritime surveillance. Scientific Awards: Science Academy Young Scientists Award (BAGEP), 2023. He has supervised numerous graduate and undergraduate researchers, many of whom have transitioned to top-tier institutions such as MIT, UCLA, and TU Darmstadt. Dr. Koç actively serves as Associate Editor for multiple IEEE journals and participates in conference program committees, including EMNLP's Natural Legal Language Processing (NLLP) workshop.

João F. HenriquesView profile

Research Fellow

• Machine Learning
• Deep Learning
• Computer Vision
• +7 more

Dr. João F. Henriques is a Research Fellow at the Royal Academy of Engineering and a core member of the Visual Geometry Group (VGG) at the University of Oxford. His work spans the intersection of machine learning , deep learning , and computer vision , with notable contributions to visual tracking , 3D reconstruction , and robotics . He actively mentors DPhil students and collaborates across disciplines including AI safety , NeRFs , and optimisation . Current Students: Marian Longa, Tim Franzmeyer, Dominik Kloepfer, Yash Bhalgat, Shivani Mall, Lorenza Prospero, Mark Eid Graduated Students: Xu Ji, Mandela Patrick, Shu Ishida, Andreea Oncescu Research Trends from his recent work include advances in 3D scene reconstruction (e.g., Flash3D, GST), robotic adaptation (Rapid Motor Adaptation), and multimodal learning (Text2Loc, SCENES). His publications frequently address theoretical guarantees in unsupervised detection and reinforcement learning for POMDP environments. Scientific Recognition includes: Research Fellow, Royal Academy of Engineering CVPR Best Paper Finalist (2012) for Kernelized Correlation Filters (KCF) SIGBOVIK 2020 Most Timely Paper Award for Deep Industrial Espionage He also develops open-source tools like OverBoard , a Python dashboard for deep learning experiment monitoring, and advocates for preregistration workshops to improve machine learning research transparency.

• Homomorphic Encryption
• Big Data Analysis
• Database Systems
• +6 more

Hayato Yamana serves as Professor at Waseda University's Faculty of Science and Engineering and concurrently holds the position of Vice President for IT Promotion and Chief Information Officer since October 2020. His academic journey began with a Dr. Eng. degree from Waseda University in 1993, followed by positions at the Electrotechnical Laboratory of MITI, before joining Waseda University as Associate Professor in 2000 and becoming full Professor in 2005. He has held significant leadership roles including Director of the Database Society of Japan and the Information Processing Society of Japan, as well as Vice Chair of IEICE's Information and Communication Society. Waseda University, Faculty of Science and Engineering (2005-Present) National Institute of Informatics, Visiting Professor (2005-Present) Waseda University, Vice President for IT Promotion (2020-Present) Deputy Chief Information Officer (2015-2020) His research spans homomorphic encryption, big data analysis, and computer architecture, with notable contributions in privacy-preserving computation, recommender systems, and secure data processing. His work bridges theoretical cryptography with practical applications in smart cities, healthcare, and e-commerce security. Recent publications demonstrate strong focus on accelerating homomorphic encryption operations, improving recommendation system diversity, and developing novel authentication mechanisms. Analysis of his 15 most recent publications reveals consistent emphasis on privacy-preserving technologies (particularly homomorphic encryption applications), innovative recommender system architectures, and biometric security solutions. His research group produces highly cited work at the intersection of cryptography, machine learning, and systems security, with practical implementations in real-world scenarios including smart grids, e-commerce, and healthcare. Fellow, Information Processing Society of Japan (IPSJ), 2020 Golden Core Award, IEEE Computer Society, 2018 Fellow, Institute of Electronics, Information and Communication Engineers (IEICE), 2018 IBM Faculty Award, 2009 Multiple Best Paper Awards from IEICE, IPSJ, and ITE Yamana has secured substantial research funding for projects in homomorphic encryption, smart city infrastructure, and privacy-preserving systems. His leadership extends to advising numerous doctoral students and directing major research initiatives including the Smart Systems and Services Innovative Professional Education Program. He maintains active collaborations with industry partners through projects involving secure computation and data analytics. His research group operates at the forefront of secure computing, with specialized laboratories focused on homomorphic encryption acceleration, privacy-preserving machine learning, and secure mobile authentication. The team actively develops practical implementations of cryptographic protocols for real-world applications in healthcare, finance, and smart city infrastructure, bridging theoretical cryptography with deployable security solutions.

Joanna InglotView profile

Associate Professor

• Modern and Contemporary Art
• Feminist Art
• Art in Eastern Europe
• +4 more

Joanna Inglot serves as the Edith M. Kelso Associate Professor of Art History at Macalester College, where she teaches courses spanning modern and contemporary art, gender studies, and transnational art history. Her research focuses on feminist art, art in former Eastern Europe, and the intersections of art with gender politics and historical memory. Dr. Inglot's research interests encompass modern and contemporary art within global contexts, with a particular emphasis on feminist art movements and the art of Eastern Europe during and after communism. She explores transcultural dialogues, the body in performance art, and the role of art in political resistance, especially in post-communist societies. Her recent scholarly work reveals a strong focus on feminist art in Eastern Europe, examining figures like Natalia LL and Magdalena Abakanowicz, and extending to diasporic artists such as Shirin Neshat. Themes of memory, gender, and the political dimensions of art consistently thread through her publications. Dr. Inglot has received numerous prestigious awards and grants, including: Fulbright Fellowship American Council of Learned Societies Grant International Exchanges Commission Grant (IREX) National Endowment of the Humanities Grant Faculty Exceptional Performance Award (2022-23) Mellon Periclean Faculty Leadership Grant in the Humanities (2024-25) As an active researcher and curator, she has directed symposia at institutions like Tate Modern and is currently editing a volume on Abakanowicz and writing a book on feminism in the post-communist world. Her work is supported by significant grants that enable her to advance scholarship in art history and feminist studies.

Gustavo Faverón PatriauView profile

Professor

• Latin American Literature
• Contemporary Literature
• Political History
• +12 more

Gustavo Faverón Patriau is Professor and Chair of the Department of Romance Languages and Literatures at Bowdoin College, with affiliations in Latin American, Caribbean, and Latinx Studies and Hispanic Studies. He holds a PhD from Cornell University and has held visiting positions at Stanford University, Middlebury College, and Universidad Cayetano Heredia. His academic work centers on Latin American contemporary literature and political history, with a focus on the limits of visual and linguistic representation, the portrayal of mental illness in narrative, and the writings of Jorge Luis Borges. His research spans literary theory, cultural criticism, and journalistic inquiry, often bridging scholarly and public intellectual spheres. His recent publications reveal a consistent engagement with themes of abjection, memory, trauma, and the philosophical dimensions of narrative. He frequently analyzes canonical and marginal texts through interdisciplinary lenses, drawing on philosophy, visual culture, and historiography. His scholarship often intersects with his creative work, which includes novels and editorial projects that explore similar intellectual terrain. Among his scientific awards and recognitions are being a finalist for the III Vargas Llosa Biennial Novel Prize, receiving accolades from Letras Corsarias and Rockdelux, and being recognized by the Spanish newspaper ABC for his blog Puente Aéreo as one of the most influential in the Hispanic world. He has served on the board of Diacritics , directed literary journals such as Dissidences , La Vaca Multicolor , Somos , and Visto & Bueno , and co-edited major volumes like Bolaño salvaje and Toda la sangre . He regularly presents at international literary festivals and academic conferences, and has conducted numerous interviews and media appearances across Latin America and Europe. His creative and scholarly work has been translated into ten languages, underscoring his transnational impact. He continues to publish prolifically in both academic and literary venues, maintaining a dynamic presence in contemporary Hispanic intellectual life.

Mike TehranchiView profile

Lecturer

• Mathematical Finance
• Stochastic Analysis
• Probability Theory
• +3 more

Dr. Mike Tehranchi is a faculty member at the University of Cambridge, affiliated with the Statistical Laboratory within the Department of Pure Mathematics and Mathematical Statistics (DPMMS) . His research focuses on mathematical finance, stochastic processes, and probability theory. He holds a Lecturer position and is actively involved in academic research, with notable contributions to financial models, term structure analysis, and stochastic calculus. His work bridges theoretical probability and applied finance, addressing topics such as interest rate modeling, implied volatility, and optimal investment strategies. Tehranchi’s research often intersects with optimization, statistical methods, and interdisciplinary applications in astrophysics and fluid dynamics. He maintains an active publication record and contributes to the academic community through his role in the Statistical Laboratory. Key research trends in his articles include the analysis of financial derivatives, stochastic processes in market dynamics, and the application of advanced mathematical techniques to real-world financial problems. His work emphasizes rigorous theoretical foundations while addressing practical challenges in quantitative finance. Dr. Tehranchi has no listed students or academic awards in the provided texts. He can be reached via email and is based in Room D1.04 at the Statistical Laboratory.

Chicheng ZhangView profile

Assistant Professor

• Interactive Machine Learning
• Reinforcement Learning
• Contextual Bandits
• +15 more

Chicheng Zhang is an Assistant Professor in the Computer Science Department at the University of Arizona, where he conducts research in the theory and applications of interactive machine learning. He earned his Ph.D. in Computer Science from the University of California, San Diego (UCSD) in 2017 under the supervision of Professor Kamalika Chaudhuri, and was previously an undergraduate student at Peking University working with Professor Liwei Wang. From 2017 to 2019, he was a postdoctoral researcher at the Machine Learning Group at Microsoft Research NYC. His research lies at the intersection of learning theory and practical algorithm design, focusing on interactive machine learning paradigms such as reinforcement learning, contextual bandits, active learning, and imitation learning. He aims to develop algorithms that are data-efficient, computationally tractable, and robust, with applications in healthcare, wireless communication, and fair AI systems. His work emphasizes principled algorithm design with theoretical guarantees and empirical validation. The most recent publications reflect a strong trend in developing efficient, theoretically grounded methods for sequential decision-making and interactive learning. Key themes include sample efficiency, robustness to noise, fairness in algorithmic decisions, and application-driven research in domains like oral cancer detection and mmWave network optimization. His work frequently bridges theoretical analysis with real-world deployment considerations. While no scientific awards are mentioned in the provided text, Dr. Zhang actively mentors prospective PhD students and encourages collaboration. He has contributed to interdisciplinary projects involving fairness-aware bandit algorithms for network coexistence, interpretable classifiers for cancer detection, and LLM-based initialization for reinforcement learning. His lab focuses on developing intelligent agents that actively learn from environments and human experts. He can be reached at chichengz@arizona.edu .

Andreas B. KilcherView profile

Professor

• Literary Studies
• Cultural Studies
• Jewish Cultural History
• +4 more

Andreas B. Kilcher is a Full Professor of Literature and Cultural Studies at the Department of Humanities, Social and Political Sciences (D-GESS) at ETH Zurich since June 2008. He serves as Deputy Head of the Department and holds multiple leadership positions including Head of the Doctoral Committee of the D-GESS and Director of Studies at MAGPW since 2018. Born in Basel in 1963, Kilcher studied German, history, and philosophy in Basel and Munich. He completed his doctorate at the University of Basel after fellowships at the Hebrew University in Jerusalem. He habilitated at the University of Münster and served as a professor at the University of Tübingen before joining ETH Zurich. His academic credentials include visiting professorships at Hebrew University (2009), Princeton University (2011), and Stanford University (2014). Professor Kilcher's research focuses on Literary and Cultural Studies , with specialized expertise in Jewish literary and cultural history , Kabbalah and esoteric research , and the history of knowledge . His work bridges literary analysis with cultural, religious, and intellectual history, exploring intersections between Jewish thought and broader European intellectual traditions. His recent publications demonstrate consistent focus on German-Jewish intellectual history, examining figures like Thomas Mann, Walter Benjamin, Joseph Roth, and Sigmund Freud through literary criticism, religious philosophy, and cultural analysis. His work often explores relationships between science and literature, religious thought and modernity, and textual criticism and intellectual resistance. President of the Board of Trustees of the Thomas Mann Archive (ETH) President of the European Society for the Study of Western Esotericism (ESSWE) Representative on the Board of Trustees of the Language Center (ETH/UZH) Director of the Center for the History of Knowledge 2014-2016 (ETH/UZH) Member of the Society for European-Jewish Literary Research He teaches courses including 'Science and Fiction,' 'Theories of Wit: From Rhetoric to Psychoanalysis,' and advanced colloquia in literary studies, reflecting his interdisciplinary approach connecting literature with philosophy, psychology, and cultural history.