جست‌وجوی استاد و پژوهشگر

Zulfikar Hirjiمشاهده پروفایل

دانشیار

• Anthropology
• History
• Material Culture
• +۸ مورد دیگر

Zulfikar Hirji is an Associate Professor in the Department of Anthropology at York University, Toronto, Canada. He holds a DPhil from the University of Oxford, an MPhil from the University of Cambridge, and a BA from McGill University. His research focuses on Muslim societies, material and visual culture, identity formation, and critical pedagogy, with a regional emphasis on the Indian Ocean, East Africa, and South Asia. He has conducted multi-sited ethnographic and archival research across these regions, including Europe and North America. Education: DPhil (Social Anthropology, Oxford, 2002), MPhil (Islamic Studies, Cambridge, 1997), BA (Religious Studies & Anthropology, McGill, 1989) Hirji explores themes such as communal identity, socio-legal frameworks, urban violence in plural societies, and the dynamics of migration and family networks. He is also engaged in critical scholarship on representations of Muslims in academic and public discourse. His work bridges anthropology, history, and visual arts through curated exhibitions, including Memories of Stone (2017) and Transformations: Enlightenment in a Digital Age (2016). He has held roles like Graduate Program Director and Visiting Research Fellow at the Institute of Ismaili Studies. Key Appointments: Coordinator of Individualized Studies (2019–2024), York Fellow at the Pontifical Institute of Mediaeval Studies (2015–2016) His contributions extend beyond academia through art installations and public lectures addressing cultural heritage, digital age challenges, and youth perspectives. No scientific awards are explicitly listed in the provided texts.

Astrid Söderbergh Widdingمشاهده پروفایل

استاد

• Film aesthetics
• Cinema studies
• Silent cinema
• +۱ مورد دیگر

Astrid Söderbergh Widding is a Professor of Cinema Studies and current President of Stockholm University. She has held significant roles including Deputy President, Head of Department, and Deputy Dean at the Faculty of Humanities, Stockholm University. A founding member of the Centre for Fashion Studies and Editor-in-Chief of the Open Access Journal of Aesthetics and Culture (2009-2012), she also served as film critic and media columnist for Svenska Dagbladet (1996-2012). Her research focuses include: Film aesthetics Cinema studies Silent cinema Film theory The 8 listed publications (2006-2016) demonstrate expertise in Nordic film education, Tarkovsky's metaphysical themes, Ingmar Bergman's legacy, and digital media aesthetics. Her scholarly activities involved leadership in international film research networks like NECS and WFHI, with external funding from bodies including the Swedish Research Council and Knut and Alice Wallenberg Foundation. Scientific awards include: King of Sweden's Meritorious Award (2018) Icelandic Order of the Falcon (2018) French Legion of Honour (2015) Royal Swedish Academy of Sciences (2014) She supervised 17 PhD students (2001-2015) including Anu Koivunen and Malin Wahlberg. Current leadership roles extend to the Nobel Foundation (Chair 2023–) and Aarhus University Board (2018–).

Markus Friedrichمشاهده پروفایل

استاد

• Insect Development
• Gene Family Evolution
• Comparative Genomics
• +۳ مورد دیگر

Markus Friedrich is a Professor in the Department of Biological Sciences at Wayne State University, affiliated with the College of Liberal Arts and Sciences. His research focuses on insect development, gene family evolution, and arthropod visual systems, with a particular interest in cave-adapted species. He has held roles including Editor-in-Chief of the Molecular Biology and Genomics Section for the journal Insects and advised on the Australian Research Council project DP230100731 (2023-2024). Education: PhD in Zoology from Ludwig-Maximilians-Universität München (1995), postdoctoral training at Caltech (1996–1999). His research interests span comparative genomics, evolutionary developmental biology, and the genetic basis of sensory adaptations. Notable work includes studies on opsin gene evolution, cave animal adaptations, and the genomic basis of arthropod diversification. Recent publications highlight discoveries in harvestmen relict eyes, horseshoe crab Pax6 homologs, and cave beetle sleep behavior. Teaching includes courses like BIO4220 Biological Dimensions of Evolutionary Psychology and BIO1500 Basic Life Diversity . He has supervised numerous students and volunteers, fostering a dynamic research lab environment. His work integrates genomic, developmental, and evolutionary approaches to unravel mechanisms of trait evolution in insects. Grants/Awards: Australian Research Council funding, editorial leadership in entomology journals. Labs/Teams: The Friedrich Lab focuses on evolutionary genetics, with projects involving Tribolium beetles, cave organisms, and comparative genomics.

Stine Krøijerمشاهده پروفایل

دانشیار

• Political Anthropology
• Nature-Culture Relations
• Cosmology
• +۱۹ مورد دیگر

Stine Krøijer is an Associate Professor in the Department of Anthropology at the University of Copenhagen, Faculty of Social Sciences. Her research focuses on political anthropology, nature-culture relations, cosmology, time, multispecies ethnography, anarchism, autonomy, and indigenous peoples, with regional expertise in the Amazon and Scandinavia. She is actively involved in major research projects such as 'Lokale Landvindinger' (2021–2025) and 'Fire and Political Alterity in Amazonia' (2023–), funded by the Velux Foundation and the Danish Research Council, respectively. Her educational background includes a PhD in Anthropology from the University of Copenhagen, awarded in 2011. Prior to her academic career, she worked with Oxfam_IBIS on forest, climate, and indigenous rights issues in the Amazon basin from 2002 to 2007 and again from 2010 to 2014. Stine Krøijer’s research explores the political agency of non-human entities like trees, the performative aspects of climate activism, and the temporalities of radical politics. Her work bridges anthropology with environmental studies, political theory, and indigenous epistemologies. She investigates how radical environmental change—such as deforestation, peatland restoration, and forest fires—reshapes political subjectivities and social futures. Her recent publications reflect a strong trend in climate politics, environmental activism, and the ontological status of nature. Themes include the agency of trees, dystopian imaginaries in environmental movements, and the co-creation of landscapes in Denmark. Her research combines ethnographic depth with theoretical innovation, particularly in understanding how ecological crises generate new forms of political alterity. Member, Expert Council on Nature National Parks, Ministry of Environment, Denmark Coordinator, Green Solution Centre, University of Copenhagen Editor, Tidsskriftet Antropologi She teaches courses on climate, nature, environment, global flows, project design, and fieldwork methods. Her advisory and grant activities are centered on externally funded research projects focusing on climate change, indigenous rights, and environmental transformation. She is also involved in public engagement through lectures and exhibitions such as 'Amazon Trails' and 'Climate/Kettle: Aesthetics of Resistance'. Stine Krøijer leads and participates in research groups focused on nature, environment, and climate. She collaborates with interdisciplinary teams across Denmark and Latin America, particularly in the Amazon region. Her work is embedded in both academic and policy-oriented networks, contributing to the Green Solution Centre and national environmental councils.

Thomas Michael Sattichمشاهده پروفایل

دانشیار

• Geopolitics
• Sustainability Transition
• Energy Policy
• +۴ مورد دیگر

Thomas Michael Sattich is an Associate Professor at the University of Stavanger , affiliated with the Faculty of Social Sciences and Department of Media and Social Studies . His research focuses on geopolitical implications of sustainability transitions, particularly energy policy interdependence and EU-China relations. PhD in Political Science and Economics Expertise in qualitative methods, mixed methods (cluster analysis), and data visualization Lead researcher on EU-funded digital climate negotiation simulation projects His recent publications examine renewable energy geopolitics, industrial policy competition, and sustainability education frameworks. Methodologically, he specializes in Qualitative Comparative Analysis (QCA) and network analysis, contributing to debates on energy security and regional cooperation.

Nelly V. Litvakمشاهده پروفایل

استاد

• Algorithms for Complex Networks
• Applied Probability
• Stochastic Operations Research
• +۵ مورد دیگر

Nelly V. Litvak is a Full Professor in Algorithms for Complex Networks at Eindhoven University of Technology (Mathematics and Computer Science). She works on mathematical methods and algorithms for complex networks (social networks, WWW) using random graph models. She joined TU/e as a part-time professor in 2017 after being an Associate Professor at the University of Twente since 2012. Affiliations: 4TU Applied Mathematics Institute, Data Science Center Eindhoven, CTIT Industry Partners: ABN-AMRO Bank, Philips Lighting, Thales Editorial Role: Managing Editor of Internet Mathematics Her research focuses on extracting value from network data across three areas: (1) Information extraction and prediction, (2) Mathematical analysis of network characteristics, and (3) Efficient algorithms for incomplete network data. Key topics include PageRank, HITS algorithm, random graphs, homophilic networks, and network epidemiology. Recent work (2022-2025) spans network growth mechanisms, fairness in ranking algorithms, educational pedagogy, and pandemic forecasting dashboards. She contributes to SDGs through data-driven approaches to societal challenges. Teaching activities include course development at TU/e and earlier institutions, with innovative methods for computer engineering students' statistical understanding.

Josh McDermottمشاهده پروفایل

استاد

• Auditory Neuroscience
• Psychology
• Machine Learning
• +۵ مورد دیگر

Josh McDermott is a Professor in the Department of Brain and Cognitive Sciences at MIT and an Associate Investigator at the McGovern Institute. He holds roles as Associate Department Head and Principal Investigator of the Laboratory for Computational Audition. His work bridges psychology, neuroscience, and engineering to study auditory perception, with a focus on sound interpretation, hearing impairment treatments, and machine hearing systems. Education includes a B.A. from Harvard (summa cum laude), an MPhil from University College London, and a PhD from MIT. Postdoctoral training included NYU and the University of Minnesota. Research interests encompass computational principles of sound perception, natural sound statistics, music cognition, and machine hearing. Key areas include sound localization, auditory scene analysis, and the role of generative models in perception. Recent publications highlight advancements in auditory neural networks, cross-cultural music perception, and noise schema processing. Awards include the Troland Research Award, BCS Excellence in Advising, and NSF CAREER Award. Advising includes over 20 graduate students and postdocs, with notable contributions to auditory neuroscience and machine learning. Major grants support projects on auditory models and sensory systems. The lab develops tools like cochleagram generation and headphone screening software. The Laboratory for Computational Audition operates at MIT, focusing on biological and computational approaches to hearing. Collaborations span engineering, psychology, and neuroscience to advance understanding of auditory processing.

Rebekka von Mallinckrodtمشاهده پروفایل

استاد

• Early Modern History
• Slavery and Colonialism
• Cultural History of Sports
• +۳ مورد دیگر

Rebekka von Mallinckrodt is a Professor at the Department of Early Modern History , Universität Bremen . She specializes in Early Modern European History , focusing on slavery , colonial entanglements , sports and bodily practices , and gender dynamics . Her work bridges transnational history and legal studies , examining how European societies navigated freedom and subjugation between 1650–1850. Education : PhD in History (Augsburg, 2003); Staatsexamen (Bonn, 1998); studies in Bonn, Tübingen, Rome, and Bremen. Her research synthesizes slavery studies , cultural transfer , and bodily techniques , with a particular emphasis on German regions within global contexts . She leads the VolkswagenStiftung Opus Magnum project (2023–2024) and previously directed the ERC Consolidator Grant on German slavery . Articles highlight racial dynamics , legal paradoxes , and popular sports in Germany and France . Scientific Awards include NASSH Finalist , Feodor-Lynen Stipendium , and ProFiL Mentoring . She has served on juries for DFG , VolkswagenStiftung , and ERC , and is an Ordentliches Mitglied of the Akademie der Wissenschaften Hamburg (2022–). As an advisor, she has mentored over 15 PhD and Master’s candidates , including Sarah Lentz (awarded Best Dissertation, Bremen, 2020) and Jasper Hagedorn (received multiple prizes, 2023). She directed the Institute for Historical Sciences (2017–2023) and co-founded the DFG Network on Bodily Techniques (2009–2012). Her public engagement includes exhibitions, media interviews (e.g., NDR , SPIEGEL ), and contributions to encyclopedias like Encyclopedia of Early Modern History .

Andrew Headمشاهده پروفایل

استادیار

• Human-computer interaction
• Programming
• Reading
• +۵ مورد دیگر

Andrew Head is an Assistant Professor at the University of Pennsylvania's Department of Computer Science, specializing in Human-Computer Interaction (HCI) and Programming. His work bridges interactive reading , math notation accessibility , and AI-assisted code comprehension . Affiliated with Penn HCI, PLClub, and MindCORE, he co-leads research with Danaé Metaxa and Benjamin Pierce. University of Pennsylvania Assistant Professor, Computer Science Affiliations: Penn HCI, PLClub, MindCORE His research focuses on interactive reading interfaces , AI-powered programming tools , and math notation analysis . Recent projects include: FreeForm : Interactive math notation editor Tyche : Property-based testing tools Explainable Notes : Medical note interpretation systems Publications in CHI , UIST , and ICSE demonstrate his systems-centric approach combining user studies with working prototypes. Notable awards include Best Paper at UIST 2024 and CHI 2022. Advising: Ph.D. Students: Alyssa Hwang, Litao Yan, Hita Kambhamettu, Jeff Tao, Jessica Shi Grants: $1M NSF grant for Property-based Testing Tools (2024) Teaching: Spring 2025: CIS 4120/5120 - Human-Computer Interaction Fall 2024: CIS 7000 - Interactive Reading

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

Yong-Bin Kang is a Senior Data Science Research Fellow at the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) at Swinburne University of Technology, affiliated with the School of Social Sciences, Media, Film and Education. He holds a PhD in AI from Monash University and leads numerous transdisciplinary research projects applying artificial intelligence to address complex societal challenges. Education: PhD in Faculty of IT, Monash University, Australia Dr. Kang's research focuses on Responsible AI and Society, with specific interests in developing Societal-AI platforms that integrate social data with ethical principles. His work spans healthcare, humanitech, education, financial planning, environmental health, and justice domains. He investigates how AI can enhance decision-making processes while promoting societal well-being, with particular attention to ethical implementation and human-centered approaches. His expertise encompasses AI, natural language processing, machine learning, and decision-making optimization. Analysis of Dr. Kang's recent publications reveals a strong trajectory toward socially responsible AI applications across diverse domains. His work consistently bridges technical AI capabilities with social implications, particularly focusing on ethical frameworks, community-centered design, and addressing societal inequalities through technology. The publications demonstrate increasing collaboration across disciplines including criminology, environmental science, mental health, and education. Dr. Kang is actively involved in significant research funding initiatives, with multiple ongoing projects that address critical societal challenges through AI. His supervision availability includes Doctorate (PhD) candidates, indicating his commitment to mentoring the next generation of researchers in AI and data science fields. Current Flagship Areas: Digital Capability Innovative Society Manufacturing Futures Sustainable Development Goals: Good Health and Well Being (SDG 3) Industry, Innovation and Infrastructure (SDG 9) Affordable and Clean Energy (SDG 7)

• Computer Graphics
• Computer Vision
• Human-Computer Interaction
• +۷ مورد دیگر

Changjian Li is an Assistant Professor in the School of Informatics at the University of Edinburgh. He leads the GraphViX Group (Graphics, Vision and X) and is a member of the Institute of Perception, Action and Behaviour (IPAB). His research spans computer graphics, computer vision, and human-computer interaction with a focus on 3D generation and analysis. Education: Bachelor's Degree from Shandong University (2014) Ph.D. from the University of Hong Kong (2019) under Prof. Wenping Wang Postdoc at University College London (UCL) with Prof. Niloy Mitra Starting Researcher position at Inria with Dr. Adrien Bousseau Research Interests: Changjian's research focuses on sketch-based 3D modeling, CAD modeling, point cloud processing, and medical imaging applications. He develops systems that bridge intuitive sketching with precise CAD workflows, enhances 3D animation pipelines, and applies neural methods to sparse medical data reconstruction. Scientific Recognition: Best Paper Honorable Mention Award (MICCAI 2021) CADTalk selected as Highlight (CVPR 2024 top 10%) ACM SIGGRAPH Asia 2018 cover image selection ACM SIGGRAPH Asia 2015 technical paper highlight CVPR 2019 poster highlighted in 'Computer Vision News' Advising & Collaborations: He mentors postdocs and PhD students including Duolikun Danier, Haocheng Yuan, Ankan Bhunia, and Lei Zhong. Former advisees include Salvatore Esposito (now at Edinburgh), Guangshun Wei (Shandong University), and Mingjun Yang (University of Melbourne). Collaborates with Oisin Mac Aodha, Hakan Bilen, and Niloy Mitra. Professional Service: Currently serves as Associate Editor for IEEE TVCG and participates in program committees for SIGGRAPH Asia, SIGGRAPH, EuroGraphics, and Geometry Design and Computing (GDC) conferences.

Markus Vinczeمشاهده پروفایل

دانشیار

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۵ مورد دیگر

Markus Vincze is an Associate Professor at the Institute of Automation and Control Engineering (ACIN) at Vienna University of Technology (TU Wien). He founded the Vision for Robotics (V4R) group in 1996 to advance robotic perception, particularly in real-world environments and homes. His work focuses on cognitive computer vision techniques for robotics. Education: Diplom in Mechanical Engineering (1988) and PhD (1993) from TU Wien; M.Sc. (1990) from Rensselaer Polytechnic Institute. V4R coordinates EU projects like ActIPret, robots@home, HOBBIT, and national initiatives like vision@home. Markus has edited a book on Robust Vision with Gregory Hager and authored 62 peer-reviewed journal articles and over 400 reviewed publications. His recent research explores zero-shot 6D pose estimation, sim-to-real transfer, and transparent object detection. Markus has served as program chair for ICRA 2013 and organized HRI 2017 in Vienna. He has advised numerous students and secured grants from the Austrian Academy of Sciences for work at HelpMate Robotics and Yale's Vision Laboratory. The V4R group leads innovations in robotic vision, including frameworks for synthetic data generation (Unrealgensyn), depth completion (CAGT), and educational robotics applications for sustainability. Their work spans household robotics (RH3), agricultural robotics (EdgeSoil), and human-robot collaboration.

JuHyun Leeمشاهده پروفایل

دانشیار

• Architectural design computing
• Design cognition
• Urban complexity
• +۸ مورد دیگر

JuHyun Lee is an Associate Professor of Architecture and Computational Design in the School of Built Environment at the Faculty of Arts, Design and Architecture (ADA), University of New South Wales (UNSW) Sydney, where they also hold the prestigious title of Scientia Academic. With a professional background in architecture and construction (1998-2002), they have held academic positions across Australia including a five-year post-doctoral fellowship at the University of Newcastle (2012-2017) and a senior research fellowship at the University of South Australia (2018), following earlier research and teaching roles in South Korea (2003-2011). Lee specializes in architectural design computing, design cognition, and urban complexity, integrating computational methods, cognitive science, and architectural theory to advance architectural intelligence and human-centered design. Their research spans architectural visualization, analysis and design methods, algorithm/protocol design, and data visualization with computational approaches. They have established a strong research program examining the intersection of language, culture, and design cognition, particularly focusing on cross-cultural design communication between Australia and Korea. Lee's recent publications demonstrate a clear trajectory toward increasingly sophisticated integration of computational methods with architectural design theory, particularly in the areas of shape grammar, space syntax, and machine learning applications. Their work shows consistent focus on practical applications of computational design methods to real-world architectural problems, with growing emphasis on cross-cultural collaboration and intelligent design systems. The research portfolio reveals a deepening engagement with AI and machine learning techniques applied to architectural design assessment and generation. Scientia Academic at UNSW Sydney Associate Fellow of the Higher Education Academy (AFHEA, 2020) As an educator, Lee develops cutting-edge courses in computational design and Building Information Modeling (BIM), integrating experiential learning and industry engagement. They have secured over $11 million in research funding, including multiple ARC Discovery Projects and an Australia-Korea Foundation grant. Lee co-directs the Advanced Architectural Analytics Laboratory (A 3 LAB), leading interdisciplinary research on design automation, spatial analysis, and machine learning applications in architecture, while also leading cross-cultural initiatives like the Australia-Korea Architects' Network (AKAN). Lee supervises multiple HDR students working on culturally sustainable urban design, socio-spatial patterns in public housing, and computational layout generation. Their research has significant implications for improving design communication across cultural boundaries and developing more coherent, clear, and accessible built environments through computational design approaches.

Alexander Panمشاهده پروفایل

پژوهشگر

• Machine Learning
• Artificial Intelligence
• AI Safety
• +۴ مورد دیگر

Alexander Pan is a third-year Computer Science PhD student at the University of California, Berkeley, advised by Jacob Steinhardt . His research focuses on developing safe machine learning systems, particularly sequential decision-making agents. He holds a dual bachelor's degree in Mathematics and Computer Science from Caltech, where he worked with Anima Anandkumar and Yuanyuan Shi . His recent work explores AI safety through topics like unlearning , LLM transparency , and reward hacking , with publications at premier conferences including ICML and ICLR. He has received recognition such as the FLI PhD fellowship and hackathon awards for projects like SimSquare and homES ReInvented . Scientific Awards: FLI PhD fellowship Best Social Network Hack - Stanford Hackathon 2021 Best Use of ESRI Technology - Caltech Hackathon 2020 ICML 2023 Oral Presentation

Bonnie Bergerمشاهده پروفایل

استاد

• Compressive Genomics
• Network Inference
• Structural Bioinformatics
• +۴ مورد دیگر

Bonnie Berger is the Simons Professor of Mathematics at the Massachusetts Institute of Technology and head of the Computation and Biology group at MIT's Computer Science and AI Lab. She holds additional appointments as an Associate Member of the Broad Institute, Faculty member of Harvard/MIT Health Science & Technology, and Affiliated Faculty of Harvard Medical School. Her career has been dedicated to pioneering computational approaches in molecular biology, where she has been instrumental in defining the field. Professor Berger's research focuses on designing algorithms to extract biological insights from large-scale data sets. Her work spans Compressive Genomics, Network Inference, Structural Bioinformatics, Genomic Privacy, and Medical Genomics. She actively collaborates with experimental biologists to maximize the power of computation for biological discovery, developing methods that address the challenges of modern high-throughput biological data. Her recent publications demonstrate a strong trend toward integrating machine learning with structural biology and genomic privacy. The articles show increasing sophistication in using deep learning for protein structure prediction, developing privacy-preserving techniques for genomic data sharing, and creating efficient algorithms for massive biological data sets. Her work bridges theoretical computer science with practical biological applications. Professor Berger's scientific recognition includes: Election to the National Academy of Sciences (2021) ISCB Accomplishments by a Senior Scientist Award SIAM Sonya Kovalevsky Lecture Prize Fellowships in ACM, ISCB, AMS, and other prestigious societies Multiple RECOMB Test of Time Awards NIH Margaret Pittman Director's Award She has mentored numerous students who have gone on to make significant contributions in computational biology, including Ellen Zhong, Yun William Yu, and Hyunghoon Cho. Her lab receives substantial research funding supporting projects in genomic privacy, structural bioinformatics, and compressive algorithms for biological data. Professor Berger serves on the Executive Editorial Board of the Journal of Computational Biology and multiple other editorial boards. The Computation and Biology group at MIT CSAIL, which she leads, is at the forefront of developing computational methods for biological discovery. The group combines expertise in algorithms, machine learning, and biology to tackle fundamental challenges in genomics and structural biology. They are currently organizing the Machine Learning in Structural Biology workshop at NeurIPS 2025, highlighting their leadership in this rapidly evolving interdisciplinary field.