Find Academic Supervisors

Michael MascuchView profile

Associate Professor

• Autobiography
• Narrative and Culture
• Visual Discourse and Photography
• +3 more

Michael Mascuch is an Associate Professor at the University of California, Berkeley, specializing in the documentary functions of photographic images and narrative discourse. His research spans autobiography, visual culture, and the political uses of photography in modern Cambodia. He holds a PhD in History from the University of Cambridge. He co-edits the Brill series Egodocuments and History and teaches courses on narrative genres, orality/literacy, material culture, and critical theory. His current project examines the photographic representation of Cambodia's modernization failures through S-21 prisoner photos and cinema. Office: 7313 Dwinelle Hall. Education: PhD in History, University of Cambridge Research Interests: Autobiography and egodocuments Visual culture and photography's political role Documentation practices Early Modern British society Recent Work Trends: Combines historical analysis with visual/media studies to critique how cultural artifacts obscure socioeconomic realities. Explores intersections between personal narrative and national identity. Awards: No awards explicitly listed in text. Advising/Grants: No advisees or grants mentioned, though his editorial work suggests collaborative projects. Labs/Teams: Collaborates with Brill on academic series; no dedicated lab described.

Jens S. AndersenView profile

Professor

• Proteomics
• Quantitative Mass Spectrometry
• Cell Biology
• +11 more

Jens S. Andersen is a Professor in the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, where he leads research in Biomedical Mass Spectrometry and Systems Biology. His work is centered on the development and application of quantitative mass spectrometry and microscopy-based proteomics to study human cell biology, particularly the structure and function of organelles such as centrosomes, cilia, autophagosomes, and mitochondria. His research focuses on determining the protein composition and dynamic properties of cellular organelles, the roles of specific protein groups, and their contributions to biological processes and diseases. He investigates cell signaling mediated by post-translational modifications, especially within the DNA damage response, autophagy, and immune systems. His lab, the Jens S. Andersen Lab, is part of the Research Section of Biomedical Mass Spectrometry. The analysis of his recent publications reveals a strong interdisciplinary trend combining proteomics, structural biology, and cell signaling. His work spans cilia biology, RNA metabolism, DNA repair, and cancer mechanisms, with frequent use of advanced techniques like mass spectrometry, CRISPR, and live-cell imaging. The integration of systems biology approaches is evident across his research outputs. Professor, Department of Biochemistry and Molecular Biology, University of Southern Denmark Head of Research, Biomedical Mass Spectrometry and Systems Biology Principal Investigator, Jens S. Andersen Lab ORCID: 0000-0002-6091-140X While no specific scientific awards are mentioned in the provided texts, his extensive publication record in high-impact journals such as Science , Nature Communications , Molecular Cell , and EMBO Journal reflects significant scholarly contributions. He has supervised research projects and collaborated widely across Europe, though specific names of students are not listed. His research is supported by multiple ongoing projects, reflecting sustained funding and academic leadership. The Jens S. Andersen Lab operates at the intersection of proteomics and cell biology, contributing to fundamental understanding of organelle dynamics and disease mechanisms. The lab's work is highly collaborative, involving partnerships with groups in structural biology, RNA research, and cancer biology.

Xuezhe MaView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Deep Learning
• +5 more

Xuezhe Ma is an Assistant Professor in the Department of Computer Science at the University of Southern California's Viterbi School of Engineering. Previously, he was a Ph.D. student at Carnegie Mellon University's Language Technologies Institute, where he worked under the supervision of Professor Eduard Hovy. His academic journey includes a Master's degree from Shanghai Jiao Tong University's Center for Brain-like Computing and Machine Intelligence and a Bachelor's degree in Computer Science from the same institution. Ph.D. in Computer Science, Carnegie Mellon University (completed ~2020) M.S. in Brain-like Computing, Shanghai Jiao Tong University B.S. in Computer Science, Shanghai Jiao Tong University Dr. Ma's research spans multiple areas at the intersection of Natural Language Processing and Machine Learning, with particular focus on structured prediction, syntactic and semantic parsing, machine translation, language generation, and deep generative models. His recent work has expanded into vision-language models, large language model architectures, and applications across computer vision tasks. His research combines theoretical foundations with practical implementations, as evidenced by his development of tools like NeuroNLP2 and MaxParser. His publication record shows a clear trajectory from foundational NLP work during his PhD (including papers on dependency parsing and sequence labeling) to more recent contributions in generative models and large language systems. The 15 most recent publications reveal a strong focus on addressing fundamental challenges in generative modeling, context handling, and multimodal integration, with applications spanning literary translation, medical imaging, and news diffusion analysis. AI2 Outstanding Intern Award (2018) Dr. Ma has secured research funding supporting his work in generative models and language technologies, with projects focusing on improving the efficiency and capabilities of large language models. His research group at USC is actively working on next-generation language understanding and generation systems, with particular emphasis on context-aware modeling and multimodal integration. He has established collaborations with industry partners including the Allen Institute for AI and has contributed to open-source projects like Texar. At USC, Dr. Ma leads research in the Information Sciences Institute, directing projects on efficient large language model architectures and multimodal reasoning systems. His lab focuses on developing novel approaches to context handling, model efficiency, and multimodal integration, with applications across diverse domains including healthcare, literary analysis, and news media.

Jason FosterView profile

Assistant Professor

• Engineering Education
• Philosophy of Engineering
• Engineering Design
• +3 more

Jason Foster is an Assistant Professor at the Faculty of Engineering, University of Toronto, specializing in Engineering Education and Philosophy of Engineering . His work bridges rigorous academic inquiry with practical applications in engineering pedagogy. His research focuses on Research Through Design , aiming to redefine how design and education intersect. Key projects include analyzing the utility of design tools in small enterprises, developing coherent engineering requirements models, and creating open-source lab equipment for budget-constrained institutions. Recent publications highlight trends in engineering education, such as integrating multidisciplinary design, flexible project planning, and addressing intersubjective grading dynamics. His work emphasizes interdisciplinary collaboration, sustainable development, and systems thinking in curricula. He supervises graduate students through a junior colleague/collaborator model, prioritizing adaptability and critical engagement. No awards or formal honors are mentioned in the provided texts.

Charles M. StangView profile

Professor

• Early Christian Thought
• Christianity in Late Antiquity
• Philosophy of Religion
• +6 more

Charles M. Stang is Professor of Early Christian Thought at Harvard Divinity School and Director of the Center for the Study of World Religions, positions he has held since joining the faculty in 2008 and becoming director in 2017 respectively. His academic home is firmly within Harvard University's religious studies ecosystem, where he has established himself as a leading scholar in ancient Christian thought and Mediterranean religious history. His educational background includes an AB from Harvard College, an MDiv from the University of Chicago, and a ThD from Harvard Divinity School. This rigorous training across prestigious institutions has equipped him with interdisciplinary perspectives that inform his boundary-crossing scholarship. Stang's research interrogates the intersections of early Christian thought with broader Mediterranean philosophical traditions, with particular emphasis on apophatic theology, Gnosticism, and Syriac Christianity. His work consistently challenges reductionist approaches to religious studies, advocating instead for what he terms an 'expansive anthropology, ontology and epistemology' that recognizes religion's capacity to transcend mundane frameworks. He has developed a distinctive theoretical framework around 'transcendence and transformation'—concepts he argues should form the core of religious studies in the contemporary academy. His publications reveal a trajectory from focused historical studies of early Christian texts toward more expansive theoretical interventions in religious studies methodology. While his early work centered on figures like Dionysius the Areopagite and Evagrius Ponticus, his recent scholarship increasingly engages with contemporary questions about religion's role in the humanities and the urgent need for what he calls 'superhumanities' that acknowledge dimensions of reality beyond conventional academic frameworks. Manfred Lautenschläger Award for Theological Promise (2013) for Apophasis and Pseudonymity in Dionysius the Areopagite As Director of the Center for the Study of World Religions, Stang has launched the 'Transcendence and Transformation' initiative, positioning the center as both a scholarly hub and a conceptual beacon for reimagining religious studies. His vision frames religious studies not as a marginal discipline but as essential to revitalizing the humanities through its unique capacity to engage with dimensions of reality that conventional academic frameworks often overlook. The Center functions as what Stang describes as 'a beacon, a harbour, and a record' for this reconceptualization of religious inquiry.

Horacio Rostro GonzálezView profile

Associate Professor

• Artificial Intelligence
• Computational Neuroscience
• Neuromorphic Computing
• +7 more

Horacio Rostro González is an Associate Professor in the Department of Industrial Engineering at IQS School of Engineering, Universitat Ramon Llull (URL), Barcelona, Spain. He is an active researcher with a strong international academic background and current affiliations in both research and teaching. Education: PhD in Control and Signal and Image Processing (2011, INRIA & University of Nice – Sophia Antipolis, France) Master’s in Electrical Engineering (2007, University of Guanajuato, Mexico) Electronic Engineer (2003, National Technological Institute of Mexico) His research interests lie at the intersection of Artificial Intelligence, Computational Neuroscience, Neuromorphic Computing, Embedded Systems, and Robotics. He applies advanced techniques in neural networks, machine learning, and control systems to solve complex engineering problems in robotics, biomedicine, and industrial design. His work emphasizes biomimetic approaches, such as spiking neural networks for robot locomotion and AI-driven analysis of physiological signals like ECG and facial expressions. The recent publications highlight a strong trend in interdisciplinary research, combining AI with photonics, robotics, cardiovascular diagnostics, and emotional recognition in children. His work spans from theoretical algorithm development to practical industrial applications, particularly in additive manufacturing and smart systems. Scientific Projects: Offshore Wind Farms: Data analysis using machine learning and power generation prediction (2023–2024) GEPI: Grup Enginyeria de Productes Industrials (2022–2025) He is actively involved in research grants and collaborative projects, with no mention of formal student advising in the provided text. He is a member of the GEPI (Industrial Products Engineering Group), which focuses on additive manufacturing, reverse engineering, and material characterization. His scientific output is robust, with consistent publication activity from 2005 to 2025, including numerous articles in indexed journals.

Zsolt KiraView profile

Assistant Professor

• Robotics
• Machine Learning
• Artificial Intelligence
• +6 more

Zsolt Kira serves as an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing, with additional affiliations at the Georgia Tech Research Institute and as Associate Director of ML@GT. He leads the Robotics Perception and Learning (RIPL) Lab, driving research at the intersection of machine learning and robotics. Dr. Kira earned his Ph.D. in 2010 under Professor Ron Arkin, establishing foundational expertise in robotics and AI before transitioning to his current academic role after industry experience at SRI International Sarnoff. His research pioneers beyond supervised learning through unsupervised, semi-supervised, self-supervised, and continual/lifelong learning frameworks, while advancing distributed perception via multi-modal fusion and cross-robot information integration. This dual focus addresses core challenges in robotic autonomy and sensor processing. Analysis of his 15 most recent publications reveals dominant trends in embodied AI systems, robust foundation model adaptation, and multimodal learning architectures. Key themes include neural radiance field applications, reinforcement learning for locomotion, and novel benchmarks for memory evaluation in agents. While specific advisees and grants aren't documented in the source material, his RIPL Lab leadership implies active graduate mentorship and research funding acquisition. The lab's work directly enables next-generation robotic systems through algorithmic innovation in perception and learning. The RIPL Lab operates as a hub for developing machine learning techniques that solve difficult perception problems in robotics, with particular emphasis on unsupervised learning paradigms and distributed multi-robot systems that push the boundaries of autonomous operation.

• English Renaissance Literature
• Early Modern Intellectual History
• Emblematics and Visual Culture
• +5 more

Tamara Goeglein is a Professor of English and Program Chair of Comparative Literary Studies at Franklin & Marshall College. She has held multiple academic leadership roles, including English Department Chair, Associate Dean of the Faculty, and Secretary of the Faculty. Her research focuses on English Renaissance literature, early modern emblematics, and visual culture, with particular attention to figures like Edmund Spenser, John Donne, Shakespeare, and John Milton. Education: Ph.D. British Literature with Medieval Studies Certificate, Indiana University (1989) M.A. British Literature, Indiana University (1986) A.B. English, Earlham College (1982, with highest honors and Phi Beta Kappa) Research interests include the intersection of text and image in early modern works, particularly through emblem studies. Recent publications explore emblematic symbolism in John Donne’s poetry and Shakespearean drama, leveraging sources like the Antwerp Polyglot Bible. She has edited collections such as Textual Respect: Essays in Honor of Judith H. Anderson (forthcoming 2026) and authored chapters on topics like emblematic tabernacles and death imagery in early modern literature. Professional activities include reviewing for journals like Emblematica and serving on the John Donne Society’s Executive Board (2014–2017) and the Society for Emblem Studies (2012–2015). Courses taught include Medieval/Early Modern English Literature, Shakespeare studies, and the history of the book.

Kajri JainView profile

Professor

• Indian Visual Culture and Contemporary Art
• Modern and Contemporary India
• Image Theory
• +7 more

Kajri Jain is a Professor of Indian Visual Culture and Contemporary Art at the University of Toronto . She holds undergraduate appointments in the Department of Visual Studies (UTM) and graduate appointments in the Department of Art (St. George) , with cross-appointments at the Institute for Cinema Studies and the Centre for South Asian Studies . Education: PhD, Art History and Theory, University of Sydney MA, Art History and Theory, University of Sydney PEP, Visual Communication, National Institute of Design, Ahmedabad Research Interests: Jain’s work explores how images derive meaning not just from their visual content but from their production, circulation, and material use. Her research spans modern and contemporary Indian visual culture , including bazaar icons, monumental statues, theme parks, and representations of nature in religious and popular contexts. She employs ethnographic methods to examine the intersections of religion, politics, commerce, and aesthetics in postcolonial India. Her teaching and writing critically interrogate the legacies of European Romanticism and secular modernism in art history and visual studies. Publications & Themes: Jain has authored two major monographs— Gods in the Time of Democracy (2021) and Gods in the Bazaar (2007)—and numerous essays on topics such as mass reproduction, political iconography, urban nature, and postcolonial aesthetics. Her articles consistently engage with image theory, postcolonial critique, and the sensory politics of caste and religion in visual culture. Scientific Awards: No specific awards listed in the provided text. Advising & Affiliations: While no specific students are named, Jain teaches a wide range of undergraduate and graduate courses and is affiliated with multiple research centers at the University of Toronto. Her work bridges departments and disciplines, fostering interdisciplinary dialogue in South Asian visual studies. Labs & Teams: Jain is associated with the Graduate Department of Art History and the Centre for South Asian Studies at the Munk School of Global Affairs and Public Policy, University of Toronto.

Aylin CaliskanView profile

Assistant Professor

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +4 more

Aylin Caliskan is an Assistant Professor at The Information School at the University of Washington, with a courtesy appointment at the Paul G. Allen School of Computer Science & Engineering. She co-directs the Tech Policy Lab and is a faculty affiliate at the UW NLP RAISE and VSD Lab. Her research focuses on AI ethics, bias detection, and human-centered AI, with a particular emphasis on how biases from human society propagate into machine learning models. University of Washington – Assistant Professor Tech Policy Lab – Co-Director UW NLP RAISE – Faculty Affiliate VSD Lab – Faculty Affiliate Brookings Institution – Nonresident Fellow in Governance Her research explores the mechanisms by which human society’s biases are encoded into AI systems, particularly in language and vision-language models. She develops evaluation techniques, transparency methods, and bias mitigation strategies to address these issues. Her work has been published in top-tier venues such as Science, PNAS, ACL, EMNLP, AAAI, and ACM FAccT. She has also advised and collaborated with numerous students and researchers, including Kyra Wilson, Mattea Sim, Gandalf Nicolas, and Kshitish Ghate. Her recent and accepted publications focus on generative AI’s societal impacts, including bias amplification in AI models, gender and race bias in resume screening, and the propagation of stereotypes through multimodal systems. These studies often analyze how biases encoded in AI can influence human decision-making and societal norms. Scientific Awards: NSF CAREER Award (2024) 100 Brilliant Women in AI Ethics (2023) IJCAI Early Career Spotlight (2023) She teaches courses on Generative AI and has delivered talks at institutions such as Stanford, NYU, and Howard University. Her work also intersects with law and policy, as seen in her Brookings Institution publications and service.

• Robotics
• Transfer Learning
• Neuro-fuzzy Systems
• +2 more

C. S. George Lee is a Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering, located in West Lafayette. His research focuses on Robotics, Transfer Learning, Neuro-fuzzy Systems, Automatic Controls, and Computer Engineering. He holds a BSEE (1973), MSEE (1974) from Washington State University, and a PhD (1978) from Purdue University. His work integrates computational intelligence with AI, robotics, and education technology, emphasizing human-machine co-learning models and bilingual systems. His contributions span domains like quantum computing, generative AI, and knowledge graph applications. He leads the Art Lab at Purdue and has published extensively on topics ranging from humanoid robotics to cross-cultural educational platforms. His research areas include developing intelligent agents for edutainment, robotic assistants for student learning, and advanced machine learning techniques. Notable trends in his publications involve computational intelligence applied to bilingual language models (e.g., Taiwanese/English co-learning), quantum-based AI systems, and human-centric robotics. He has explored applications in healthcare (e.g., blood donor analysis), autonomous navigation, and game AI (e.g., Go). His work often bridges theoretical advancements with real-world implementations, such as Java software tools for motor activity assessment (JKinect) and AI-driven platforms for skill evaluation. Lee's research emphasizes interdisciplinary collaboration, with contributions to IEEE conferences and cross-institutional projects. His lab develops tools for adaptive e-learning, robotic task performance evaluation, and human pose estimation using neural networks. Despite prolific publishing, no specific grants or awards are explicitly mentioned in the provided text. His work continues to explore the intersection of human intelligence and smart machines through platforms like Metaverse integration and BCI (Brain-Computer Interface) applications.

Wei-Cheng LinView profile

Associate Professor

• Chinese art history
• Chinese architectural history
• Buddhist art and architecture
• +7 more

Wei-Cheng Lin is Associate Professor of Art History and the College at the University of Chicago , specializing in Chinese art and architecture. He serves as Faculty Director of the Dispersed Chinese Art Digitalization Project , sits on the steering committee of the Center for the Art of East Asia , and acts as Architectural Studies Advisor. His office is located in CWAC 268 with weekly office hours on Wednesdays. Educational background details are not explicitly provided in the text; however, he held an appointment as Assistant Professor of East Asian Art and Architecture at Iowa State University during 2006–2007. Lin’s research interrogates the intersections of visual and material culture in medieval Chinese Buddhist art and architecture and the ritual dimensions of Chinese funerary practices . Current book projects include Performative Architecture of China , which explores how architecture enacts meaning through historical performance, and Necessarily Incomplete: Fragments of Chinese Artifacts , which investigates the active roles of fragmentary artifacts in shaping multivalent cultural significance. Across more than twenty publications, Lin’s scholarship ranges from detailed studies of Mount Wutai and Dunhuang to theoretical inquiries into architectural historiography , materiality , and contemporary Chinese art . His work bridges art history, architectural history, religious studies, and digital humanities. Grants & Digital Initiatives: Faculty Director, Dispersed Chinese Art Digitalization Project (DCADP) — supported by the Cyrus Tang Foundation Manages DCADP publication series, including Beijing Zhihua Temple (2024) and Exhibiting East Asian Art in a Global Context (2025, co-edited with Chelsea Foxwell) Laboratories & Teams: Lin leads collaborative efforts through the Center for the Art of East Asia and the UChicago Center in Beijing , organizing exhibitions, international conferences, and digital humanities workshops that integrate art-historical research with cutting-edge visualization technologies.

Fernando De la TorreView profile

Adjunct Professor

• Machine Learning
• Computer Vision
• Augmented Reality
• +4 more

Fernando De la Torre is a Courtesy Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, with an affiliation to the Robotics Institute where he has been a research faculty member since 2005. He holds a Ph.D. in Electronic Engineering from Ramon Llull University (2002). His research focuses on machine learning and computer vision, with applications in human health, augmented/virtual reality, generative models, and data-centric methodologies. He directs the Human Sensing Laboratory, which explores technologies for human behavior analysis and health monitoring. Notable contributions include founding FacioMetrics LLC (acquired by Meta), advancing facial recognition and 3D human digitization, and developing frameworks for robust visual models. His work bridges theory and practice, with over 225 peer-reviewed publications and editorial roles, including Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence. Recent research trends emphasize generative AI applications in satellite imagery analysis, VR/AR rendering optimizations (e.g., Gaussian splatting), and clinical motion recognition for healthcare. His projects often intersect with industry, addressing challenges in wearable health monitoring and immersive technologies. His lab collaborations span academia and industry, focusing on scalable solutions for 3D human modeling, adversarial robustness, and multimodal data fusion. Key achievements include pioneering work on 3D face animation from speech and garment reconstruction from single images.

Mustafa KircaView profile

Associate Professor

• Postmodernist Fiction
• Postcolonialism
• Comparative Literature
• +5 more

Mustafa Kirca serves as Associate Professor of English and Comparative Literature at Çankaya University in Ankara, Turkey, where he is affiliated with the Department of Translation and Interpreting Studies. His academic profile demonstrates extensive engagement with contemporary literary theory, postcolonial studies, and comparative literature, with particular focus on the Turkish context. Kirca's research interests span postmodernist fiction, postcolonial theory, literary translation, gender studies, and cultural identity. His scholarly work consistently examines the intersections between literature, philosophy, and cultural politics, with special attention to how global literary phenomena are received and transformed in Turkish intellectual contexts. He has made significant contributions to understanding the relationship between translation studies and comparative literature, advocating for border-crossing approaches that challenge traditional disciplinary boundaries. Analysis of Kirca's publications reveals consistent engagement with postcolonial narrative strategies, particularly textual decolonization approaches that challenge Eurocentric discourses. His work frequently examines how contemporary authors like Murakami, Rushdie, and Carter negotiate cultural hybridity and identity formation. A notable thread throughout his scholarship is the examination of how literary texts engage with philosophical concepts, from Kierkegaardian existentialism to postmodern historiography, often through the lens of translation and cross-cultural reception. Kirca has co-edited several significant scholarly collections including Iris Murdoch and Her Work: Critical Essays (2010), B/Orders Unbound: Marginality, Ethnicity and Identity in Literatures (2017), and Multicultural Narratives: Traces and Perspectives (2018), demonstrating his collaborative scholarly approach and broad intellectual interests. His editorial work has created important platforms for interdisciplinary dialogue in literary and cultural studies. As an active academic, Kirca has contributed to numerous conferences on Language, Literature and Culture, with particular emphasis on how contemporary literature engages with themes of fear, identity, and cultural transformation in the post-millennial era. His work demonstrates consistent scholarly productivity with publications spanning from 2009 to the present, including the forthcoming 2025 work on Murakami's Killing Commendatore .

Franziska BoenischView profile

Academic

• Privacy-Preserving Machine Learning
• Trustworthy Machine Learning
• Differential Privacy
• +5 more

Franziska Boenisch is a tenure-track faculty member at the CISPA Helmholtz Center for Information Security , where she co-leads the SprintML lab for Secure, Private, Robust, Interpretable, and Trustworthy Machine Learning. Her research lies at the intersection of privacy-preserving machine learning and trustworthy ML , with a focus on differential privacy , model inversion attacks , and privacy risks in federated learning . She completed her PhD at Freie Universität Berlin and was a postdoctoral fellow at the Vector Institute for Artificial Intelligence under Prof. Nicolas Papernot. Her work has been recognized with awards such as the Academics Rising Start Award (3rd Prize) and the GI Junior-Fellow honor. Her research spans a wide range of topics including memorization in diffusion models , watermarking generative models , membership inference attacks , and privacy-preserving federated learning . She has published extensively in top-tier venues like ICML , NeurIPS , ICLR , and CVPR . She is actively involved in the academic community, serving as an Area Chair for NeurIPS , Track Chair for ACM AsiaCCS , and co-organizing workshops at ICML . She is currently hiring PhDs, postdocs, and research interns for her group.