Find Academic Supervisors

• Time Series Analysis
• Econometric Theory
• Functional Data Analysis
• +3 more

Dr Won-Ki Seo is a Senior Lecturer in the School of Economics at the University of Sydney. His research focuses on time series analysis, econometric theory, and functional data analysis. He holds a Ph.D. in Economics from the University of California, San Diego. Research Interests: Dr Seo's work centers on cointegration analysis in functional spaces, Hilbertian processes, and the application of advanced mathematical frameworks to econometric problems. His recent studies explore tail behavior of Lévy processes, functional principal component analysis, and nonlinear time series modeling. Recent work includes analyzing stopped Lévy processes with Markov modulation and developing methodologies for functional time series inference Key contributions to cointegration theory in Banach spaces and functional data econometrics Dr Seo has published extensively in top journals like Econometric Theory and Journal of Time Series Analysis . His research bridges theoretical econometrics and practical applications in financial and environmental economics. Contact: won-ki.seo@sydney.edu.au | Office: A02 Social Sciences Building

Yasir NooriView profile

Lecturer

• 2D Materials
• Electrochemical Deposition
• Quantum Information
• +2 more

Dr. Yasir Noori is a Lecturer in the School of Electronics and Computer Science at the University of Southampton. His research focuses on 2D materials, electrochemical deposition, quantum information, and integrated photonics. He leads a team of PhD researchers and has contributed to a £1.5m EPSRC project as a Co-Investigator. Education: PhD in Integrated Photonics and Quantum Communications (2017, Lancaster University), BEng (Hons) in Electronic Engineering and Physics (2013, University of Dundee). Awards include the Dean’s Award for early career researchers and IOP Philip-Buckle Science Communication Award. Research Interests: Specializes in 2D material heterostructures, semiconductor fabrication, and quantum technologies. Active in EPSRC Peer Review College and serves as Academic Conduct Officer for his school. Publications: Over 15 peer-reviewed articles in high-impact journals like Nature Reviews Chemistry and ACS Applied Materials. Focused on electrodeposition techniques, nanofabrication, and optoelectronic device development. Awards: Multiple conference awards, including Best Poster recognitions at 2D TMDC and Optical Waveguide Theory conferences. Also holds the Three-Minutes Thesis Award from Lancaster University. Teaching: Instructs courses like Semiconductor Devices, Materials and Sensors (ELEC2230) and supervises MSc/BEng projects. Committed to fostering student research through collaborative projects. Labs & Teams: Directs a group including Shaokai Song, Hongwei Zhang, and Ismaeil Alnaab. Current opportunities available for PhD candidates interested in 2D materials and nanofabrication.

Margaret-Anne HuttonView profile

Professor

• Contemporary Literature
• Crime Fiction
• 9/11 Fiction
• +3 more

Professor Margaret-Anne Hutton serves as Chair of French and Comparative Literature at the University of St Andrews, Scotland, and founded the Institute for Contemporary and Comparative Literature (ICCL) in 2010. The ICCL functions as the institutional framework for the interdisciplinary project 'What is the contemporary?' (2015-2018), which secured two major Leverhulme Trust grants. Her research centers on post-2000 literature with specialized expertise in crime fiction , 9/11 fiction , and WWII testimonial texts . She pioneers theoretical frameworks for understanding 'the contemporary', examining how literature processes historical trauma and constructs temporal consciousness across cultural contexts. Her methodological approach bridges literary analysis with historical and philosophical inquiry. Hutton's publication trajectory reveals consistent engagement with traumatic 20th/21st-century events through comparative lenses. Her work demonstrates how French literature interrogates Holocaust memory, 9/11 geopolitics, and ethical dilemmas in contemporary fiction. The Leverhulme-funded project exemplifies her leadership in creating cross-disciplinary dialogues about temporal frameworks in modern cultural production. As founder of the ICCL, Hutton has established a dynamic research ecosystem exploring contemporaneity through collaborative initiatives. The institute facilitates international scholarly exchange on how literature defines and responds to the present moment, connecting French studies with global literary currents and theoretical debates.

• Political Violence
• Civil Wars
• Ethnic Conflict
• +2 more

Laia Balcells is a Professor in the Department of Government at Georgetown University. She holds a Ph.D. in Political Science from Yale University, along with M.Phil and M.A. degrees in Political Science from Yale, and a B.A. in Political Science from Universitat Pompeu Fabra. Her research focuses on political violence, civil wars, nationalism, and transitional justice. Her primary research examines the dynamics of violence in civil wars, post-conflict societies, and territorial disputes, with significant work on the Spanish Civil War and contemporary conflicts in Colombia and Catalonia. Key interests include the legacy of violence on political identities, mechanisms of transitional justice, and the relationship between historical memory and contemporary politics. Recent publications concentrate on themes of affective polarization in secessionist movements, the impact of international conflicts on domestic nationalism, and the role of cultural institutions in post-conflict reconciliation. Methodologically, her work combines historical archives with contemporary empirical analysis to study long-term effects of political violence.

Bradley BuchsbaumView profile

Associate Professor

• Cognitive Neuroscience
• Working Memory
• Functional Neuroimaging
• +5 more

Bradley Buchsbaum is an Associate Professor and Senior Scientist at the Rotman Research Institute, Baycrest , Toronto, Canada. His research focuses on cognitive neuroscience, particularly on working memory, episodic memory, and functional neuroimaging using fMRI. PhD in Cognitive Science (2003) from University of California, Irvine BSc in Bio-Psychology (1997) from University of California, Santa Barbara His lab investigates how memories are stored, represented, and reactivated in the brain, combining functional neuroimaging, eye-tracking, and computational modeling. Key areas include multivariate statistics, machine learning applications in neuroimaging, and quantifying memory fidelity through behavioral and neural data. Recent publications emphasize neuroimaging methodology (e.g., MRI data consistency checks), memory pattern completion mechanisms, and feature-specific neural reactivation during episodic recall. Research trends highlight interdisciplinary approaches merging cognitive neuroscience with advanced statistical techniques. Lab team includes post-doctoral fellows (Stephen Rhodes), graduate students (Carolyn Guay, Corey Loo, Michael Bone, Nick Hoang, Ryan Barker), and research assistants. The lab actively develops open-source tools like rMVPA and neuroim2 for fMRI analysis.

Jonathan CantView profile

Associate Professor

• Cognitive Neuroscience
• Visual Perception
• Object-Ensemble Perception
• +6 more

Dr. Jonathan Cant is an Associate Professor at the Department of Psychology, University of Toronto Scarborough (UTSC). His research focuses on cognitive neuroscience, particularly visual perception and cognition using fMRI and behavioral techniques. Born in Hamilton, Ontario, educated at Western University (Psychology) and Harvard University (postdoctoral) Expertise: Object perception, ensemble processing, texture/shape perception, scene recognition The Cant Lab investigates high-level human visual cortex organization, with a focus on the ventral stream's role in perception. Key research includes dissociating shape and surface property processing, material properties in cognition, and object-scene interactions in neural systems. Recent publications highlight ensemble encoding of facial expressions (2025), cross-modal ensemble coding (2024), and texture-shape relationships in ventral cortex (2015). His work bridges modular/distributed cortical organization theories and explores neural substrates for 3D shape vs. material compliance. Teaching includes PSY5222 (Visual Cognitive Representation), PSYC75 (Cognitive Psychology Laboratory), and PSYC51 (Cognitive Neuroscience of Vision). The lab welcomes motivated students and researchers through direct email applications.

Mariya TonevaView profile

Researcher

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

Mariya Toneva is a tenure-track faculty member at the Max Planck Institute for Software Systems , conducting groundbreaking research at the intersection of Machine Learning , Natural Language Processing , and Neuroscience . She leads the Bridging AI and Neuroscience (BrAIN) group , focusing on computational models that align AI systems with human brain processes. Her work aims to enhance both AI capabilities and neuroscience understanding through this cross-disciplinary approach. Actively recruiting postdocs, PhDs, and research interns in areas like code/text representation, brain-AI alignment, and neuroimaging data analysis Collaborator on NIH-funded projects using fMRI and neuropixel data Research Themes : Her group explores neural mechanisms of language processing, event segmentation in narratives, memory reactivation via music, and effective human-AI collaboration frameworks. Key methods include LLM analysis, cross-modal similarity metrics, and naturalistic task-based fMRI studies. Key Publications (2024-2025): Brain-tuned speech models (INTERSPEECH 2025) Cognitive event boundaries in LLMs (Behavioral Research Methods 2025) Music-induced memory reactivation (biorxiv 2024) LLM-brain alignment reasons (EMNLP 2024) Advising : Mentors PhD candidates Omer Moussa (speech processing), Camila Kolling (representational similarity), and Gabriele Merlin (LLM alignment). Collaborates with institutions like MIT, NYU, and ETH Zurich.

• Computer Vision
• Computer Graphics
• Numerical Methods
• +8 more

Richard Szeliski is a Distinguished Scientist at Google DeepMind and Affiliate Professor at the University of Washington's Department of Computer Science & Engineering. He previously led the Interactive Visual Media Group at Microsoft Research and founded the Computational Photography group at Facebook. His research focuses on computer vision, computer graphics, and numerical methods, with specialties in 3D modeling from imagery, computational photography, and neural rendering. Education details are not explicitly listed, but his career trajectory indicates advanced academic training in computer science. Research interests include algorithms for 3D reconstruction, image stitching, and optimization techniques. His recent work emphasizes neural rendering, volumetric representations, and large-scale scene modeling. Key contributions include the widely cited textbook Computer Vision: Algorithms and Applications and foundational papers on multi-view stereo, panorama stitching, and energy minimization in MRFs. Publications span 40+ years, with recent focus on radiance fields (NeRF), 3D scene understanding, and real-time rendering systems. Though no explicit awards are listed, his textbook adoption and industry roles reflect significant academic and industrial impact. He advises through his academic role and has contributed to open-source projects like the Bundle Adjustment Library (BAL). Labs/teams include collaborations with Google DeepMind, prior work at Microsoft Research's Interactive Visual Media Group, and academic partnerships at UW's Graphics & Imaging Lab. His work bridges theory and application, addressing challenges in both academic research and industrial-scale systems.

• Neural dynamics of memory circuits
• Memory-guided behavior
• In vivo multichannel recordings
• +5 more

Professor David Dupret is a Professor of Neuroscience and MRC Investigator at the University of Oxford, where he also serves as a Tutorial Fellow in Biomedical Sciences at St Edmund Hall. His work takes place within the MRC Brain Network Dynamics Unit, part of the Nuffield Department of Clinical Neurosciences, and he is affiliated with the Department of Physiology, Anatomy and Genetics. David completed his Ph.D. in Neuroscience at the Institute François Magendie (INSERM, University of Bordeaux, France), receiving the French Neuroscience Association's 2007 Ph.D. Year Prize. He joined the MRC Anatomical Neuropharmacology Unit in 2007 as a Visiting Fellow, funded by the Institute of France and the International Brain Research Organisation. In 2009, he became an MRC postdoctoral scientist and Junior Research Fellow at St Edmund Hall, progressing to MRC Programme Leader Track scientist in 2011 and tenured MRC Programme Leader in 2014. Professor Dupret's research focuses on the circuit-level mechanisms of memory-guided behavior, with particular emphasis on neural dynamics of memory circuits during active waking behavior and sleep. His laboratory employs in vivo multichannel recordings and optogenetic manipulation of neuronal ensembles to investigate how hippocampal networks organize memory processes. His work has revealed fundamental insights into how memory circuits operate during both waking behavior and sleep states, particularly regarding hippocampal ripple activity, dentate spikes, and offline reactivation processes. Analysis of Professor Dupret's recent publications reveals a consistent focus on hippocampal network dynamics and memory processes. His work spans from basic neural circuit mechanisms to applications in neurodegenerative conditions like Alzheimer's disease. A notable trend is the integration of computational approaches with experimental neuroscience to understand how neural assemblies encode and retrieve memories. His team has made significant contributions to understanding how dentate spikes support memory flexibility and how hippocampal ripple diversity organizes neuronal reactivation during offline states. French Neuroscience Association's 2007 Ph.D. Year Prize Foundation Louis D. Research Fellowship (2007) International Brain Research Organisation Fellowship (2008) FENS-Kavli Network of Excellence Scholar (2016) Boehringer Ingelheim-FENS Research Award (2018) Elected to membership of Academia Europaea (2024) Professor Dupret has secured substantial research funding through his MRC Programme Leader position and has mentored numerous researchers who appear as co-authors on his publications. His laboratory, the Dupret Group, operates within the MRC Brain Network Dynamics Unit, collaborating extensively with other research groups including the Sharott Group, Magill Group, and Denison Group. Current research directions include investigating how memory circuits maintain flexibility while resisting extinction, exploring the relationship between neural coactivity patterns and memory organization, and developing computational models of hippocampal function. His team is actively pursuing future work on the mechanisms underlying memory persistence and the neural basis of flexible memory recall.

Xiaowen ZhangView profile

Professor

• Cryptography
• Information Security
• Cybersecurity
• +5 more

Xiaowen Zhang is a Professor of Computer Science at the College of Staten Island (CSI), City University of New York (CUNY), and a Doctoral Faculty Member at the CUNY Graduate Center. His academic work bridges theoretical and applied research in cybersecurity, information systems, and network technologies. Dr. Zhang holds a Ph.D. in Computer Science from the CUNY Graduate Center (2007) and a Ph.D. in Electrical Engineering from Northern Jiaotong University (1999), along with an M.A. from CUNY Queens College, an M.S. from Northern Jiaotong University, and a B.S. from Shanxi University. His research focuses on Cryptography, Information Security, Cybersecurity, Secure Biometrics, RFID Security & Privacy, Information Retrieval, and Wireless Sensor Networks . He explores both foundational cryptographic methods—such as secret sharing schemes and hash functions—and their practical implementations in secure systems, including RFID authentication protocols and data visualization platforms for sensor networks. The analysis of his recent publications reveals a consistent focus on security mechanisms in distributed and wireless environments . His work frequently combines cryptographic theory with system-level implementations, particularly in RFID and sensor networks. There is a strong trend toward privacy-preserving protocols, efficient data retrieval, and secure information sharing , often leveraging mathematical structures like Latin squares and Bloom filters. Dr. Zhang has been actively involved in mentoring students, as evidenced by numerous co-authored publications with graduate and undergraduate researchers. His contributions span journals such as Security and Communication Networks , Journal of Applied Security Research , and International Journal of Security and Networks , as well as major conferences including IEEE LISAT, ACM CODASPY, and IEEE Sarnoff Symposium.

Jerzy GorzelikView profile

Associate Professor

• Art History
• Central European Art
• National Identity
• +12 more

Jerzy Gorzelik is an Associate Professor at the Institute of Arts Studies within the Faculty of Humanities at the University of Silesia in Katowice. He holds a doctorate from the University of Wrocław and graduated from Jagiellonian University. His academic work centers on art history with a focus on Central European art, particularly in Upper Silesia from the 16th to the 20th centuries. His research explores the intersections of art, national and confessional identities, cultural heritage, and collective memory. He investigates how artistic expressions have been used in the discursive construction of imagined communities, especially in contested borderlands like Upper Silesia. His interests include wooden and industrial architecture, sacred art, museum practices, and the role of art in nationalist narratives. The recent publications highlight a consistent focus on heritage discourse, national identity formation, and the symbolic use of architecture and sculpture in Central Europe. His work analyzes how nationalisms—Polish, German, and Silesian—have instrumentalized art and heritage to legitimize political claims and shape regional identity. Themes such as the postcolonial critique of museum curation, the historiography of art history, and the interplay between Catholicism and nationalism recur across his scholarly output. Jerzy Gorzelik is actively engaged in public outreach, having conducted lectures, workshops, and educational projects on Silesian art history in collaboration with institutions such as the House of Polish-German Cooperation and the Foundation Dom Modernisty. He has also contributed to academic discourse through platforms like ResearchGate, Academia.edu, and Google Scholar, and maintains an ORCID profile (0000-0001-6405-9835).

Dina El-ZanfalyView profile

Assistant Professor

• Computational Design
• Human-Computer Interaction
• Embodied Interaction
• +5 more

Dina El-Zanfaly serves as an Assistant Professor in the School of Design at Carnegie Mellon University (CMU), where she directs the hyperSENSE: Embodied Computations Lab. Her work bridges computational design and human-centered interaction, focusing on how physicality shapes sensory experiences and cognitive processes through intelligent systems. Education: PhD in Design and Computation, Massachusetts Institute of Technology (MIT) Master of Science in Design and Computation, MIT (Fulbright scholar) Her research critically examines computational methods for augmenting sensory perception, with emphasis on embodied sense-making in hybrid environments. She investigates co-creative interactions between humans and intelligent systems, exploring how computational tools empower designers and non-designers to shape products, social spaces, and interconnected technologies. Key questions address mutual learning between humans and machines through improvisation and creative production. Analysis of her 2022-2025 publications reveals dominant themes in mixed reality interfaces, AI-augmented skill acquisition (particularly in crafts and welding), and tangible co-creation with generative AI. Her work consistently integrates physical computing with mindfulness applications and privacy-aware smart environments, demonstrating interdisciplinary reach across education, manufacturing, and therapeutic contexts. Scientific Awards: Fulbright Scholarship As lab director, El-Zanfaly mentors students in computational making and embodied interaction projects. Her research is supported through initiatives like Fab Lab Egypt and collaborations with MIT, where she co-founded the Computational Making Group. She chairs major conferences including Fab15 in Egypt and serves on the DESFORUM program committee, indicating significant leadership in maker education and design research communities. She founded and leads the hyperSENSE Lab at CMU, which investigates computational embodiment through projects like Origami Sensei and Sand-in-the-loop. Previously, she co-established the Computational Making Group at MIT and co-founded Fab Lab Egypt (the first community maker space in North Africa/Arab world), demonstrating sustained commitment to global maker ecosystems and interdisciplinary team building.

Amir Safavi-NaeiniView profile

Associate Professor

• Quantum Technologies
• Photonics
• Applied Physics
• +5 more

Amir Safavi-Naeini is an Associate Professor of Applied Physics at Stanford University's School of Humanities and Sciences, with a courtesy appointment in Electrical Engineering. He leads the Laboratory for Integrated Nano-Quantum Systems (LINQS), focusing on chip-scale quantum technologies at the intersection of photonics, optomechanics, and nanofabrication. Ph.D., California Institute of Technology, Applied Physics (2013) B.ASc., University of Waterloo, Electrical Engineering (2008) His research centers on quantum acoustics , optomechanical transduction , and microwave-to-optical conversion , aiming to create scalable quantum devices for sensing and communication. Recent work includes developing 2D optomechanical crystals, vacuum beam guides for quantum networks, and programmable microwave delay lines. Scientific Awards 2022 Moore Inventor Fellowship ($825,000 over 3 years) He has supervised doctoral students including Sultan Malik, Felix Mayor, Wentao Jiang, and Oliver Hitchcock, while collaborating with Caltech's Michael Roukes on quantum mass spectrometry systems. His lab acknowledges funding from NSF (CAREER, MOLINO), DARPA, DOE (Q-NEXT), NIH, Moore Foundation, Packard Foundation, and industry partners like AWS and NTT. LINQS Lab develops lithium niobate photonic circuits for quantum applications, with expertise in cryogenic optomechanics, parametric amplification, and nonlinear optical processes. Current projects include protein identification chips, quantum acoustic processors, and ultra-broadband mid-infrared generation.

Ming LiView profile

Professor

• Deep learning
• Natural language processing and automated conversation
• Kolmogorov complexity and its applications
• +8 more

Ming Li is a Professor at the University of Waterloo , holding the Canada Research Chair in Bioinformatics . Affiliated with the David R. Cheriton School of Computer Science , his research spans Bioinformatics , Kolmogorov Complexity , Deep Learning , Natural Language Processing , and Computational Biology . His contact details include office Davis Center 3355 and email mli@uwaterloo.ca . Research Interests include Bioinformatics (protein/antibody sequencing, structure analysis), Deep Learning , Natural Language Processing , Kolmogorov Complexity and Applications , and Algorithms & Complexity (average-case analysis, information distance). Editorial Roles : Co-Managing Editor of the Journal of Bioinformatics and Computational Biology , Associate Editor-in-Chief for Journal of Computer Science and Technology , Editorial board member of multiple journals including SIAM Journal on Computing and Information and Computation . Professional Activities : Served on scientific advisory committees for Genome Prairie and Tsinghua University, and numerous international conference program committees (e.g., KDD 2007, CPM 2007, FOCS'99). Awards & Honors : Killam Prize (2010) IEEE Granular Computing Outstanding Contribution Award (2010) Premier's Discovery Award (2009) Fellow of Royal Society of Canada, ACM, and IEEE (2006) Killam Fellowship (2001) E.W.R. Steacie Memorial Fellowship (1996) Multiple Best Paper Awards Students & Postdocs : Mentored over 30 graduate students and postdocs, including current advisees Guangyu Feng, Anqi Cui, and alumni like Babak Alipanahi, Xin Chen, and Brona Brejova.

Jose Antonio Hinojos MoralesView profile

Researcher

• Pictorial languages and procedures
• Landscape theory
• Nature and culture relationships
• +5 more

Jose Antonio Hinojos Morales is a contemporary artist and researcher affiliated with Miguel Hernández University of Elche, where he completed his PhD in 2020. His academic work focuses on contemporary painting practices within the broader context of visual arts research. His research interests center around pictorial languages and procedures in contemporary contexts , with particular emphasis on the relationship between landscape, nature, and culture. He investigates how landscapes function as cultural constructs and explores innovative methodologies in the representation of the human face through art. His work also engages with decolonial thought and aesthetics, media archaeology, and expanded painting techniques. Hinojos Morales' artistic output demonstrates significant trends in contemporary Spanish art, particularly in the exploration of spiritual, philosophical, and scientific concepts through visual media. His work often challenges conventional perceptions and hegemonic epistemological positions, creating dialogues between traditional and contemporary artistic approaches. Second place, VIII International Painting Competition 'Miradas 2018', Chicago (USA), 2018 Second Prize, XIX Pastor Calpena Painting Prize, Aspe (Alicante), 2015 First Prize, XLVI National Painting Contest Vila de Sant Joan d'Alacant, 2013 First Prize, III National Painting Competition No to Fear, La Nucía (Alicante), 2013 Third Prize, XVII National Painting Competition City of Antequera, Antequera (Málaga), 2013 As an educator and researcher, Hinojos Morales has coordinated the Altea Artistic Residency program, directing multiple landscape-focused scholarship-residencies that support emerging artists. His work bridges academic research with professional artistic practice, contributing to both scholarly discourse and the contemporary art scene in Spain.