جستجوی استاد راهنمای دانشگاهی

Sigrid Schmalzer is a Professor of History at the University of Massachusetts Amherst, specializing in the history of science and modern China. She holds a Ph.D. in History and Science Studies from the University of California, San Diego (2004). Her research bridges the social, cultural, and political dimensions of science in China, with a focus on the intersections of agriculture, activism, and revolutionary movements. Schmalzer is the author of *Red Revolution, Green Revolution: Scientific Farming in Socialist China* (2016), winner of the Joseph Levenson Book Prize, and *The People's Peking Man: Popular Science and Human Identity in Twentieth-Century China* (2008), recipient of the Allan Sharlin Award. Her current projects include a book on agricultural heritage in the People’s Republic of China and leadership roles in organizations like the Critical China Scholars and Science for the People. She co-edits the *Activist Studies of Science and Technology* series for UMass Press, emphasizing socially engaged scholarship. Schmalzer also serves as Co-President of the MSP faculty union at UMass Amherst. Research interests span the history of science activism, transnational movements, and the legacy of Maoist science. Notable awards include the Freeman Book Award (2018) for her children’s book *Moth and Wasp, Soil and Ocean*, which integrates science education with historical narratives. Her work often critiques capitalist and authoritarian structures while advocating for science as a tool for justice and sustainability. Recent publications explore themes like agroecology, science policy, and the global dimensions of China’s scientific history. She teaches courses on modern China, science in society, and radical science movements, blending interdisciplinary approaches to engage students in critical analysis of historical and contemporary issues.

• History of Modern China
• History of Science
• Science Activism
• +۳ مورد دیگر

Jonathan Rosa is Associate Professor in the Graduate School of Education, Center for Comparative Studies in Race and Ethnicity, and, by courtesy, Departments of Anthropology, Linguistics, and Comparative Literature at Stanford University. He serves as Director of Stanford's Program in Chicanx-Latinx Studies and has held leadership positions including President of the Association of Latina/o and Latinx Anthropologists of the American Anthropological Association. Dr. Rosa's educational background includes: Ph.D. in Sociocultural and Linguistic Anthropology from the University of Chicago (2010) M.A. in Sociocultural and Linguistic Anthropology from the University of Chicago (2006) B.A. in Linguistics and Educational Studies from Swarthmore College (2003) Dr. Rosa's research examines the co-naturalization of language and race as a key feature of modern governance, tracking colonially structured interrelations among racial marginalization, linguistic stigmatization, and institutional inequity. His scholarship centers on raciolinguistic ideologies, Latinx studies, and educational justice, with a community-based approach that develops tools for challenging systemic vulnerability. He investigates how race and language are jointly defined across historical, geopolitical, and institutional contexts, with particular focus on Latinx communities and educational settings. His recent publications demonstrate a consistent thematic focus on decolonizing linguistic and educational frameworks, challenging standard language ideologies, and examining the intersections of race, language, and power. The work spans multiple disciplines including sociolinguistics, anthropology, education, and critical race studies, increasingly emphasizing undoing raciolinguistics and addressing coloniality in language education and assessment practices. Dr. Rosa has received numerous prestigious awards for his scholarship: Distinguished Summer Scholar, Banks Center for Educational Justice, University of Washington College of Education (2024) Outstanding Book of the Year Award for "Looking like a Language, Sounding like a Race," American Association of Teaching and Curriculum (2022) First Book Award for "Looking like a Language, Sounding like a Race," American Association for Applied Linguistics (2021) Prose Award for Excellence in Language & Linguistics for "Looking like a Language, Sounding like a Race," Association of American Publishers (2020) Charles A. Ferguson Award for Outstanding Scholarship, Center for Applied Linguistics (2018) Dr. Rosa actively mentors doctoral students across multiple programs, serving as primary advisor for students researching race, ethnicity, language, and education. His research has been supported by major grants from the National Science Foundation, Andrew W. Mellon Foundation, Woodrow Wilson National Fellowship Foundation, and Ford Foundation. He collaborates extensively with community organizations, particularly in Chicago, to develop educational approaches grounded in decolonial praxis, focusing on how scholarship can serve as a platform for social transformation. Dr. Rosa co-directed Stanford's Center for Global Ethnography (2021-2023) and directed Stanford's Program in Chicana/o-Latina/o Studies (2020-2023). He serves on multiple editorial boards including Current Anthropology and Equity & Excellence in Education, and has held leadership positions in professional organizations including President of the Association of Latina/o and Latinx Anthropologists (2020-2022).

• Raciolinguistics
• Language and Race
• Ethnic Studies
• +۵ مورد دیگر

Janine O'Flynn is the Director of the Crawford School of Public Policy at the Australian National University (ANU) since 2023. Previously, she held the position of Professor of Public Management at the University of Melbourne and served as a visiting professor at institutions like City University Hong Kong and Fudan University. Her research focuses on public management reform, governance relationships, and ethical policy-making. Notable contributions include work on public value creation, performance management systems, and positive public administration. She has authored over 75 publications, including Pathways to Positive Public Administration (2024) and co-edited the Research Handbook on Public Management and COVID-19 (2024). O'Flynn has received prestigious awards such as the National Academy of Public Administration Fellowship (2022) and the Best Book Award at the Academy of Management (2013). She actively advises governments globally and chairs research committees for organizations like the Centre for Public Impact. Education: PhD (Melbourne), Bachelor of Commerce (Hons., Melbourne). Key Roles: Editorial Board Member: Public Administration , Public Management Review , and others Board of Directors, Public Management Research Association Advisory Board, Victorian Public Sector Commission Research Focus: Public sector reform, governance ethics, policy complexity, and agile government frameworks.

• Public Management
• Public Sector Reform
• Governance Relationships
• +۷ مورد دیگر

Joseph A. November is an Associate Professor in the Department of History at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. His research focuses on the history of biomedical computing, distributed computing, and the intersection of technology and medicine. He holds a Ph.D. from Princeton University (2006), an M.A. from the University of Chicago (2002), and a B.A. from Hamilton College (1997). His work includes the award-winning book Biomedical Computing: Digitizing Life in the United States (2012), which explores the co-development of biomedicine and computing technologies. Current projects include Revolutions@home , examining distributed computing in protein folding research, and a biography of computing pioneer Robert S. Ledley. He has received grants from the NSF, NIH, and the Charles Babbage Institute. Teaching interests span the history of science and technology, including courses on the history of medicine, digital humanities, and the role of games in historical education. He actively contributes to professional organizations like SHOT and the History of Science Society. Awards include the Computer History Museum Prize (2013) and the National Institutes of Health DeWitt Stetten Fellowship (2007-2008). His research bridges historical analysis with contemporary issues in technology and biomedical ethics.

• History of Science and Technology
• Biomedical Computing
• History of Medicine
• +۳ مورد دیگر

Stephen Licht is an Associate Professor of Ocean Engineering and Graduate Director at the University of Rhode Island's College of Engineering, where he directs the Robotics Laboratory for Complex Underwater Environments (R-CUE). His research focuses on developing maritime robots capable of operating in dynamic and unpredictable environments through biologically inspired propulsion, distributed pressure sensing, model-based optimal control, and compliant underwater manipulation technologies. Ph.D. in Oceanographic and Mechanical Engineering from MIT/WHOI Joint Program (2008) B.S. in Mechanical Engineering from Yale University (1998) Former Senior Research Scientist at iRobot and Senior Robotics Engineer at Vecna Robotics Current Research Affiliate with MIT Department of Mechanical Engineering Former Visiting Faculty at Libera Università di Bolzano (2019-2020) Dr. Licht's research spans marine robotics with emphasis on biologically inspired propulsion systems that provide high authority and bandwidth thrust, nonlinear attitude control for maneuvering in dynamic conditions, compliant underwater manipulation technologies, and unmanned aerial monitoring of coastal structures. His work bridges mechanical engineering principles with oceanographic applications to create more capable underwater robotic systems that can operate in complex marine environments. His recent publications demonstrate a strong trend toward soft robotics applications for deep-sea exploration, with particular focus on jamming grippers and neutrally buoyant manipulation systems. The research also shows increasing integration of additive manufacturing techniques for field-deployable solutions and computational methods for autonomous systems operating in challenging marine environments. His work spans fundamental control theory, mechanical design, and practical field applications. Dr. Licht has secured significant research funding as both Principal Investigator and Co-Principal Investigator from major organizations including the Office of Naval Research, NOAA, NSF, and various university collaborations. His grants focus on advancing unmanned underwater vehicle technology, soft robotics for deep-sea applications, and coastal monitoring systems. Active mentor to numerous graduate and undergraduate students in Ocean Engineering Successful track record of student placements at organizations including Jaia Robotics, Scripps Institution of Oceanography, FORSSEA Robotics, and government research labs Collaborates with researchers at MIT, WHOI, University of Connecticut, University of Maine, and international institutions Licht leads the R-CUE lab which develops innovative solutions for underwater robotics challenges, with particular expertise in biomimetic propulsion, soft robotics for deep-sea applications, and autonomous systems for environmental monitoring. The lab maintains strong industry connections with OceanGate Inc. and FabNewport, and engages with local educational institutions through outreach programs with Roger Williams Middle School.

• Marine Robotics
• Biologically Inspired Propulsion
• Nonlinear Attitude Control
• +۵ مورد دیگر

Kevin Jamieson is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering and an Adjunct Professor in the Department of Statistics at the University of Washington . His academic journey includes a B.S. (2009) , M.S. (2010) , and Ph.D. (2015) in electrical engineering from the University of Washington, Columbia University, and University of Wisconsin–Madison respectively. He completed a postdoc at UC Berkeley's AMP Lab before joining UW in 2017. Ph.D., Electrical Engineering, University of Wisconsin–Madison (2015) M.S., Electrical Engineering, Columbia University (2010) B.S., Electrical Engineering, University of Washington (2009) Jamieson's research lies at the intersection of interactive machine learning , active learning , and sequential decision making . His work focuses on: Adaptive sampling strategies in multi-armed bandits and reinforcement learning (RL) Developing instance-dependent optimal algorithms that adapt to problem difficulty Applications in robotics , human perception studies , and hyperparameter optimization Representation learning for large models and experimental design frameworks His 15 most recent publications (2025-2022) demonstrate expertise in bandit theory , contextual RL , and game-theoretic learning . Notable trends include sample-efficient optimization , adaptive A/B testing , and sim-to-real transfer in robotics. Jamieson has received: NSF CAREER award for foundational contributions Amazon Faculty Research award for innovation in learning systems He actively recruits graduate students and postdocs , emphasizing collaboration in areas like: Multi-agent RL and strategic actor learning Empirical process suprema and adaptive sampling theory Applications in robotics , large language model finetuning , and biomedical data analysis Jamieson leads the Washington AI Lab (WAIL) and develops open-source learning systems like the NEXT framework for real-world adaptive data collection. He serves as co-PI for the Institute for the Foundations of Data Science (IFDS) and co-organizes the Distinguished Seminar in Optimization & Data .

• Machine Learning
• Active Learning
• Multi-Armed Bandits
• +۴ مورد دیگر

Dr. Kim Jeong Won is a Senior Research Fellow at the Energy Studies Institute (ESI), National University of Singapore, where she has been since March 2019. She holds a PhD in Energy and Environmental Policy from Korea University's Green School, an MPA from Korea University, and a MPP from the Harris School of Public Policy Studies, University of Chicago. Her research focuses on renewable energy and climate change policy, policy diffusion among governments, and quantitative policy evaluation methods. Dr. Kim has extensive experience in policy analysis and project management, including roles at the Korea Environment Institute (KEI), UNWTO ST-EP Foundation, and Global Green Growth Institute (GGGI). Her work emphasizes vertical and horizontal policy diffusion mechanisms, particularly in energy and climate sectors. She specializes in analyzing policy instrument combinations and designing evaluation frameworks for development projects. Her publications explore urban climate adaptation strategies in South Korea, renewable energy investment requirements for developing countries, and comparative analyses of energy storage systems competitiveness. She has contributed to policy reports for South Korean governments and international organizations, focusing on sustainable energy transitions and green growth frameworks. Dr. Kim's research bridges academic rigor with practical policy implementation, emphasizing quantitative methodologies to assess policy effectiveness. She actively participates in international development projects and contributes to global discussions on climate finance and energy policy design.

• Renewable Energy Policy
• Climate Change Policy
• Policy Diffusion Among Governments
• +۳ مورد دیگر

H. Samy Alim is a Professor and David O. Sears Presidential Endowed Chair in the Division of Social Sciences at UCLA, holding a joint appointment in the Department of Anthropology. He serves as Associate Director of the Ralph J. Bunche Center for African American Studies and leads the UCLA Hip Hop Initiative. Alim’s research focuses on Hip Hop Culture, Black Language, and Culturally Sustaining Pedagogies, with over 25 years of scholarship in these areas. His work bridges academia and activism, emphasizing Hip Hop’s transformative role in global social justice movements. Alim earned his PhD in Anthropology from Stanford University (2003), following MA (2002) and BA (1999) degrees. His academic contributions include twelve authored/edited books, such as Freedom Moves (2023) and Articulate While Black (2012). His research spans Hip Hop’s linguistic innovations, racialized language politics, and its pedagogical potential in education. Key projects include ethnographic studies in Cape Town, South Africa, and collaborative initiatives like the UC Press Hip Hop Studies Book Series. He co-edits the Oxford Handbook of Language and Race and directs the Center for Race, Ethnicity, and Language. Alim has engaged with global Hip Hop artists (e.g., Chuck D of Public Enemy) to co-produce knowledge, emphasizing Hip Hop as a site of theorizing and activism. His teaching and research highlight intersections of language, race, and power, advocating for pedagogies that sustain cultural identities while fostering equity. Collaborations with organizations like Heal the Hood in South Africa reflect his commitment to community-driven scholarship.

• Hip Hop Culture
• Linguistic Anthropology
• Sociolinguistics
• +۴ مورد دیگر

Prof. Ahmet Atay holds the rank of Professor of Communication Studies at the College of Wooster, serving as Program Chair of Global Media & Digital Studies and liaison to the Digital Visual Storytelling Pathway. His academic journey includes degrees from Marmara University (B.A., 1998), Ohio University (M.A., 2001), University of Northern Iowa (M.A., 2003), and Southern Illinois University (Ph.D., 2009). His research focuses on transnational communication, digital media's societal impact, cultural identity formation in global contexts, and queer diasporic experiences. He actively explores media representation of gender/sexuality, critical pedagogy, and autoethnography as research methodologies. Notable projects include editing works on millennial media ecology, intercultural communication pedagogy, and transnational queer cinema. Teaching responsibilities include courses on intercultural communication, mediated gender studies, and digital storytelling for social justice. He has held leadership roles in professional organizations like the National Communication Association and Central States Communication Association. Prof. Atay's recent publications emphasize digital ethnography, decolonizing communication studies, and queer pedagogy innovations. His work bridges theoretical frameworks with practical educational applications, addressing contemporary issues like diversity in academia and media's role in shaping cultural narratives.

• Transnational communication
• Digital media studies
• Cultural identity and globalization
• +۵ مورد دیگر

Jan Alber is a Professor of Modern English and American Literature at the Department of English and American Literature and Culture, Justus Liebig University Giessen . He previously held positions at RWTH Aachen, Aarhus University, TU Darmstadt, and the University of Freiburg. His work bridges narrative theory, cognitive studies, and postcolonial literature, with a focus on unnatural narratives and empirical approaches to literary analysis. Fields of Interest: Unnatural Narratology, Cognitive Literary Studies, Climate Fiction, Postcolonial Literature Key Themes: Storyworlds, Ideology, Empirical Methods, Narrative Beginnings Alber's recent publications explore narrative theory's intersections with cognition and ideology, including analyses of digital post-postmodernist novels and climate change narratives. His empirical studies examine how readers process experimental narratives, particularly unnatural narrators and metaleptic structures. He has received prestigious awards such as the Habilitation Prize from the German Association of Anglists (2013) and the FRIAS junior group competition (2008). His research is funded by the AHRC, DFG, and Alexander von Humboldt Foundation, notably supporting interdisciplinary work on post-truth political narratives and Ukrainian scholars. Alber co-founded the Aachen Center for Cognitive and Empirical Literary Studies and serves as President of the International Society for the Study of Narrative. He organizes international workshops on cognitive narratology and teaches courses spanning literary history, theory, and postmodern fiction.

• Narrative Theory
• Cognitive Literary Studies
• Postcolonial Literature
• +۳ مورد دیگر

Abhishek Jain is an Associate Professor in the Department of Computer Science at Johns Hopkins University and a Senior Scientist at NTT Research. He is affiliated with the Data Science and AI Institute, the Information Security Institute, and the Algorithms and Complexity group. University: Johns Hopkins University Department: Computer Science Academic Rank: Associate Professor Institutional Roles: Co-director of the Advanced Research in Cryptography group, member of the Theory Group, and co-leader of the Cryptography Group Education: Ph.D. in Computer Science from the University of California Los Angeles (2012), advised by Amit Sahai and Rafail Ostrovsky. Recipient of the Symantec Outstanding Graduate Student Award during his Ph.D. Research Interests Cryptography Secure computation Proof systems Program obfuscation Privacy Blockchain Theoretical computer science Research Trends: His recent publications emphasize cryptographic protocols for homomorphic encryption, zero-knowledge proofs, and secure multi-party computation, alongside applications in blockchain and privacy-preserving systems. Key themes include scalability, verifiable evaluation, and adapting cryptographic techniques to dynamic and distributed environments. Scientific Awards 2020 NSF CAREER Award Best Paper Awards at Eurocrypt and the International Conference on the Theory and Applications of Cryptographic Techniques Advising & Grants: Mentors Ph.D. students and interns/postdocs at NTT Research. Research funded by NSF, DARPA, JP Morgan, Ethereum Foundation, Stellar, Cisco, Samsung, and JHU Catalyst awards. Labs & Teams: Co-leads the Cryptography Group at Johns Hopkins, participates in the DC Area Crypto Day, and organizes the weekly Theory Seminar. Collaborates with institutions including MIT CSAIL, BUSEC, and Microsoft Research New England.

• Cryptography
• Computer Security
• Privacy
• +۵ مورد دیگر

Joshua D. Angrist is the Ford Professor of Economics at the Massachusetts Institute of Technology, where he has been a faculty member since 1996. He is also a co-founder and director of MIT's Blueprint Labs and a Research Associate at the National Bureau of Economic Research. Angrist shares the 2021 Nobel Prize in Economic Sciences with David Card and Guido Imbens for their methodological contributions to the analysis of causal relationships. Angrist received his B.A. from Oberlin College in 1982 and completed his Ph.D. in Economics at Princeton University in 1989. Prior to joining MIT, he taught at Harvard University and the Hebrew University of Jerusalem. His academic journey began somewhat unconventionally, as he left high school early after 11th grade, worked for over a year, and only later discovered his passion for economics through an inspiring teacher at Oberlin. Angrist's research focuses on developing and applying innovative econometric methods to answer important economic questions using natural experiments. His work spans labor economics, education economics, and causal inference methodology. He is particularly known for his contributions to instrumental variables methods and the Local Average Treatment Effect (LATE) framework developed with Guido Imbens. His research explores the economics of education and school reform, the impact of social programs on labor markets, and the effects of immigration and regulation. His recent publications reveal a continued focus on causal inference methods applied to education policy questions, labor market issues, and health economics. The trend shows increasing sophistication in research design, with particular attention to addressing selection bias and developing methods for external validity. His work spans theoretical econometric contributions alongside empirical applications in education, labor markets, and health. Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel (2021) Fama Prize for Graduate Education (2018) Fellow of the American Academy of Arts and Sciences Fellow of the Econometric Society Angrist is deeply committed to teaching and mentoring. He has developed influential econometrics textbooks including 'Mostly Harmless Econometrics' and 'Mastering Metrics' with Jörn-Steffen Pischke. At MIT, he teaches courses including Labor Economics I (14.661), Econometric Data Science (14.32), and Labor Economics and Public Policy (14.64). He emphasizes selecting UROP students who have mastered foundational economics through courses like 14.64 and 14.32. Beyond MIT, Angrist co-founded Avela, a software startup using cutting-edge research to help schools improve enrollment and operations. Angrist co-founded and directs MIT's Blueprint Labs, which brings together researchers from economics, computer science, and education to develop innovative solutions for educational challenges. Through Blueprint Labs and Avela, his work bridges academic research with practical applications in education policy and technology.

• Econometrics
• Labor Economics
• Causal Inference
• +۳ مورد دیگر

Prof. Peter Scholze is a leading mathematician at the University of Bonn and the Max Planck Institute for Mathematics (MPIM). He holds a professorship in the Mathematical Institute at the University of Bonn and is affiliated with MPIM as a principal investigator. His research focuses on arithmetic geometry, representation theory, and p-adic geometry, with notable contributions to perfectoid spaces, prismatic cohomology, and the geometrization of the local Langlands correspondence. Scholze has organized several advanced seminars (ARGOS) and taught courses on topics like condensed mathematics, p-adic geometry, and algebraic geometry. He collaborates widely with researchers such as Laurent Fargues and Bhargav Bhatt. His recent work includes groundbreaking papers on wild Betti sheaves, motivic geometrization of the local Langlands correspondence, and the Habiro ring of number fields. Scholze has pioneered the use of prismatic cohomology to unify p-adic Hodge theories and has developed foundational frameworks in derived algebraic geometry. His research also intersects with representation theory and topological cyclic homology. Affiliations: University of Bonn (Mathematical Institute), Max Planck Institute for Mathematics (MPIM) Research Groups: Arbeitsgruppe Arithmetische Geometrie und Darstellungstheorie Teaching: Recent courses include 'Selected Topics in Algebraic Geometry' and 'Six-Functor Formalisms'. His work frequently explores connections between algebraic geometry and number theory, with a focus on geometric approaches to arithmetic problems. Scholze is a key figure in modern arithmetic geometry, influencing both foundational theory and applied areas like the Langlands program.

• Arithmetic Geometry
• Algebraic Geometry
• Representation Theory
• +۴ مورد دیگر

Adrian Weller is a prominent researcher and academic at the University of Cambridge, serving as a Director of Research in Machine Learning within the Department of Engineering. He holds multiple significant leadership roles including Programme Director for Trust and Society at the Leverhulme Centre for the Future of Intelligence (CFI), and previously served as Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI. His work bridges theoretical machine learning research with practical applications and societal implications of artificial intelligence. Weller's research interests span a broad spectrum of AI and machine learning topics with a particular focus on ensuring beneficial societal outcomes. His work encompasses explainability, fairness, robustness, scalability, privacy, safety, and ethics in AI systems. He has made significant contributions to trustworthy machine learning, including developing frameworks for AI governance, certification, and human-AI collaboration. His research group actively investigates neuro-symbolic approaches, privacy-preserving techniques, and methods for improving the reliability and interpretability of AI systems. His recent publications demonstrate a strong trend toward addressing the practical challenges of deploying AI systems in real-world contexts, particularly focusing on certification frameworks, governance mechanisms, and human-centered approaches. His work spans theoretical advances in machine learning architectures while maintaining a strong connection to societal impact, with publications appearing in top venues across AI, machine learning, and interdisciplinary applications. Scientific Awards: MBE for services to digital innovation (2022 Queen's Birthday Honours) Turing AI Fellowship for Trustworthy Machine Learning Weller actively supervises a large group of PhD students and postdocs, with current students including Juyeon Heo, Yanzhi Chen, Katie Collins, Isaac Reid, Yichao Liang, Herbie Bradley, and Shoaib Siddiqui. His former students have gone on to positions at leading institutions including Google DeepMind, ETH Zurich, NYU, and MPI-IS Tübingen. He has served on numerous advisory boards including the Centre for Data Ethics and Innovation, UNESCO's expert group on AI ethics, and the World Economic Forum's Global Future Council on AI. His research has been supported through his Turing AI Fellowship and various collaborative projects focused on safe and ethical AI development. Weller leads a vibrant research group focused on trustworthy machine learning, which actively organizes workshops and conferences including ICML 2024 (where he served as Program Chair), multiple workshops on responsible AI, and events through the ELLIS network. His group collaborates extensively across disciplines, working with researchers in computer science, social sciences, law, and policy to address the multifaceted challenges of developing beneficial AI systems.

• Artificial Intelligence
• Machine Learning
• Explainability
• +۹ مورد دیگر

Michael Kaess is an Associate Professor at the Robotics Institute, Carnegie Mellon University (CMU), within the School of Computer Science. He leads the Robot Perception Lab (RPL) and contributes to the Field Robotics Center (FRC) and Computer Vision Group (CV). His research focuses on efficient perception algorithms for mobile robots, particularly in 3D mapping, SLAM, and sensor fusion using vision, LiDAR, inertial, and sonar data. Kaess holds a PhD in Computer Science from Georgia Tech and was a postdoc at MIT's Marine Robotics Lab. Education: Georgia Institute of Technology, PhD in Computer Science (2008) MIT, Postdoctoral Associate (2008–2010) Research Interests: Kaess develops algorithms for robust and efficient inference in robotics, emphasizing factor graphs and linear algebra. His work spans underwater robotics, aerial systems, tactile SLAM, and multi-sensor integration. Key areas include SLAM with planes/lines, imaging sonar reconstruction, and neural field methods for LiDAR-visual fusion. Publications: Over 145 papers, including work on EDPLVO (visual odometry), HoloOcean (underwater simulation), and neural radiance fields with LiDAR. Recent trends focus on robust incremental smoothing, acoustic-optical fusion, and real-time volumetric mapping. Awards: Recognized with the RSS Test of Time Award (2020), Outstanding Associate Editor (2022), and paper awards at ICRA/ICRA. Active in conference organization (IROS/ICRA program committees). Advising & Grants: Supervises 10+ current PhD/MSc students, with past advisees contributing to CoRL/ICRA work. Manages grants in perception, autonomy, and marine robotics. Teaches courses like Robot Localization and Mapping (16-833). Labs/Teams: Directs RPL, collaborates with FRC on field robotics. Develops open-source tools like GTSAM (GNU Toolkit for Smoothing and Mapping).

• Robotics
• Computer Vision
• SLAM (Simultaneous Localization and Mapping)
• +۶ مورد دیگر