جستجوی استاد راهنمای دانشگاهی

Mark Libermanمشاهده پروفایل

استاد

• Corpus-based Phonetics
• Speech and Language Technology
• Clinical Applications of Linguistics
• +۶ مورد دیگر

Mark Liberman is a Trustee Professor at the University of Pennsylvania , holding appointments in the Department of Linguistics and Department of Computer and Information Science . He serves as Director of the Linguistic Data Consortium and Faculty Director of Ware College House . His career spans linguistics, speech technology, and computational methods. Education: Harvard University (1965-1969), MIT (M.S. 1972, Ph.D. 1975) Professional Experience: AT&T Bell Laboratories (1975-1990), University of Pennsylvania (1990-present) His research interests include: Corpus-based Phonetics : Analyzing speech patterns via large-scale datasets. Clinical Applications : Developing speech biomarkers for neurodegenerative diseases. Tonal Phonology : Studying lexical tone and intonation in languages like Yoruba and Mandarin. Formal Annotation Models : Creating frameworks for linguistic data standardization. Recent publications highlight automated speech analysis, cross-linguistic prosody, and digital biomarkers for conditions like ALS-FTD and Alzheimer’s. His collaborations span computational linguistics , neurology , and cognitive science . Scientific awards include the IEEE James L. Flanagan Award (2017), Antonio Zampolli Prize (2010), and fellowships from the AAAS and Linguistic Society of America . He advises PhD students May Chan and Jonathan Him Nok Lee and contributes to editorial boards for journals like Cognition and Annual Review of Linguistics . His work bridges speech science , language technology , and neurocognitive research .

Haiyan Leeمشاهده پروفایل

استاد

• Modern Chinese literature
• Chinese popular culture
• philosophy and literature
• +۹ مورد دیگر

Haiyan Lee serves as the Walter A. Haas Professor of the Humanities and Professor of East Asian Languages and Cultures and of Comparative Literature at Stanford University. She has held these positions since joining Stanford in 2009, and currently serves as Chair of the East Asian Languages and Cultures department (2020-present). Her academic journey includes previous teaching appointments at the University of Colorado at Boulder and the University of Hong Kong, along with post-doctoral fellowships at Cornell University and Harvard University. Lee's research spans multiple interdisciplinary fields with particular focus on modern Chinese literature and cultural production. Her work bridges literary studies with law, philosophy, cognitive science, affect theory, gender studies, and environmental humanities. She has developed influential theoretical frameworks including the concept of "high justice" and "low justice" in Chinese legal imagination. Her current research explores animism, cognition, and the Chinese environmental imagination, extending her longstanding interest in human-animal relations. Lee's publications reveal a consistent trajectory examining Chinese cultural production through innovative theoretical lenses. Her recent work shows increasing engagement with legal theory, environmental humanities, and cognitive approaches to literature. She has produced significant scholarship on Chinese concepts of justice, love, and the stranger, moving across historical periods from early 20th century to contemporary China. Biennial Book Prize, Honorable Mention, International Society for Chinese Law and History (ISCLH) (2024) Humanities Seed Grant, Stanford School of Humanities and Sciences (2023-2025) Bass Fellowship in Undergraduate Education, Stanford University (2022-2027) Joseph Levenson Book Prize, The Association for Asian Studies (2009) Professor Lee actively mentors doctoral students across multiple disciplines, serving as dissertation advisor, co-advisor, and committee member for students working at the intersection of Chinese studies, law, literature, and cultural theory. Her teaching includes courses across East Asian humanities, comparative literature, and interdisciplinary environmental studies. She has received significant research support including the Frederick Burkhardt Residential Fellowship from the American Council of Learned Societies and a residency at the Center for Advanced Study in the Behavioral Sciences.

Mark Schmidtمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Mathematical Optimization
• +۶ مورد دیگر

Mark Schmidt is a Professor in the Department of Computer Science at the University of British Columbia, Faculty of Science. He holds the Canada Research Chair in Large-Scale Machine Learning and is a Canada CIFAR AI Chair at the Alberta Machine Intelligence Institute. His research spans multiple centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Data Science Institute, and the Machine Intelligence Learning Discovery (MILD) group. Dr. Schmidt's educational background includes a Ph.D. from UBC (2005-2010), an M.Sc. from the University of Alberta (2003-2005), and a B.Sc. from the University of Alberta (2000-2003). His academic career progressed from Postdoc positions at Simon Fraser University, Ecole Normale Superieure, and UBC to Assistant Professor (2014-2019), Associate Professor (2019-2024), and current Professor (2024-present) at UBC. His research focuses on machine learning optimization, with particular emphasis on improving numerical algorithms for large-scale machine learning applications. His work bridges theoretical optimization and practical applications across computer vision, natural language processing, and reinforcement learning. He has developed numerous optimization techniques including variants of stochastic gradient methods, coordinate descent algorithms, and natural gradient approaches. Analysis of his recent publications reveals a strong focus on optimization for over-parameterized models, particularly transformers and large language models. His work addresses critical challenges in step-size selection, convergence guarantees, and efficient implementation of optimization algorithms. His research has significant implications for training deep neural networks more effectively and understanding why certain optimization methods outperform others in practice. Among his notable awards are the Dorothy Killam Fellowship (2025), Arthur B. McDonald Fellowship (2024), Sloan Research Fellowship (2017), and multiple UBC teaching awards. He has also received the Lagrange Prize in Continuous Optimization and Best Paper Award at AISTATS 2021. Dr. Schmidt actively supervises numerous graduate students, with over 40 PhD and Master's students listed as current or alumni members of his research group. His laboratory maintains strong connections with industry partners, with many alumni securing positions at leading AI companies including Google, Amazon, Meta, and Microsoft.

• Victorian Literature
• Children's Literature
• Animal Studies
• +۴ مورد دیگر

Jessica Straley is an Associate Professor in the Department of English at the University of Utah, where she has served since 2005 (Visiting Assistant Professor 2005-2007, Assistant Professor 2007-2016, Associate Professor 2016-present). She holds a PhD in English from Stanford University, an MA in Literature, Culture, and Modernity from Queen Mary and Westfield College, University of London, and a BA in English from Cornell University. Education: PhD, English - Stanford University MA, Literature, Culture, and Modernity - Queen Mary and Westfield College BA, English - Cornell University Her research focuses on intersections between Victorian literature, children's literature, animal studies, disability studies, and ecocriticism. She explores how literary imagination interacts with scientific and moral discourses, particularly in 19th-century contexts. Recent publications analyze feral child narratives, zoo representations, and evolutionary theory in children's texts. Her work bridges historical literary analysis with contemporary critical frameworks like disability rights and environmental ethics. Scientific Awards: Faculty Fellowship Award (University Research Council, 2017) Ramona W. Cannon Award for Teaching Excellence (2016) Tanner Humanities Center Fellowship (2016) University Research Committee Faculty Fellowship (2011) Newberry Library Short-Term Library Research Fellowship (2008) She teaches courses in 19th-Century British Literature, Intellectual Movements, and Honors Thesis/Project supervision. Her external grant (Animal Testing URC, 2017-2018) demonstrates institutional support for her interdisciplinary work.

Konrad Schindlerمشاهده پروفایل

استاد

• Photogrammetry
• Remote Sensing
• Computer Vision
• +۳ مورد دیگر

Prof. Konrad Schindler holds the position of Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. He is also the Head of the Institute of Geodesy and Photogrammetry (IGP), leading research and educational activities in geomatics and computer vision. His career spans roles as a Photogrammetric Engineer, scientific assistant, postdoc researcher, and academic faculty across institutions including Graz University of Technology, Monash University, and TU Darmstadt before joining ETH Zürich in 2010. Education: Undergraduate studies in Geodesy (1992–1995), Graz University of Technology, Austria MEng in Photogrammetry and Geoinformation (1995–1999), Vienna University of Technology, Austria PhD in Computer Science (2001–2003), Graz University of Technology, Austria Research focuses on Photogrammetry , Remote Sensing , Computer Vision , and Image Understanding with interdisciplinary applications in environmental monitoring, geospatial analysis, and disaster response. He develops computational methods for 3D reconstruction, fusion of multi-modal data, and AI-driven solutions for satellite imagery interpretation. His work bridges geomatic engineering and machine learning to address challenges in urban mapping, climate modeling, and biological systems analysis. Publications reflect expertise in geospatial AI, diffusion models, and benchmarking datasets for disaster resilience. Notable works include Marigold (image analysis adaptation) and BRIGHT (building damage assessment). His research emphasizes practicality and scalability, such as affordable depth estimation and global biomass datasets. He has received the 2013 Marr Prize Honourable Mention (IEEE) and the 2012 U.V. Helava Award (ISPRS), alongside several Best Presentation Awards. His contributions span technical leadership, editorial roles (ISPRS Journal), and service to Swiss remote sensing commissions. Advising and grants: While no specific advisee names or grant details are listed, his career trajectory includes mentoring postdocs and junior faculty. He teaches advanced courses in Photogrammetry , Image Interpretation , and Machine Vision , integrating cutting-edge AI techniques into curricula. His research group collaborates on global-scale projects like canopy height mapping and satellite-based climate variable assessments. Labs/Teams: As Institute Head, he oversees the IGP lab at ETH Zürich, with prior affiliations including the Digital Perception Lab (Monash University) and the Computer Vision Lab (ETH Zurich). His work often involves multi-institutional collaborations focused on geospatial AI and environmental science.

Chua Tat Sengمشاهده پروفایل

استاد

• unstructured data analytics
• multimedia information retrieval
• recommendation systems
• +۶ مورد دیگر

Chua Tat Seng is a Professor at the School of Computing, National University of Singapore (NUS), holding the KITHCT Chair Professorship since 2009. He serves as co-Director of the NExT++ Center, a joint research center between NUS and Tsinghua University focused on Extreme Search. His academic career spans over three decades at NUS, where he has held various leadership positions including Acting Dean of the School of Computing (1998-2000) and Acting Head of the Department of Information Systems & Computer Science (1996-1998). Professor Chua's research spans unstructured data analytics , multimedia information retrieval , recommendation and conversation systems , and emerging applications in e-commerce and fintech . He established the Lab for Media Search (LMS) at the School of Computing and has been instrumental in advancing multimodal learning and search technologies. His work bridges theoretical foundations with practical applications, particularly in developing trustable AI systems for real-world deployment. His recent publications demonstrate a strong focus on large language models for recommendation systems , multimodal learning , and generative AI applications . The research trends show increasing emphasis on LLM-based recommendation, multimodal understanding, and addressing fundamental challenges in AI reliability, fairness, and efficiency. His work spans theoretical advancements in representation learning to practical applications in e-commerce, finance, and healthcare domains. ACM SIGMM Technical Achievement Award 2015 Multiple Best Paper Awards across ACM Multimedia, IEEE Transactions, and MMM conferences (2007-2020) Professor Chua has supervised 37 PhD students since 2004, establishing himself as a dedicated mentor in the academic community. His research has been supported by substantial grants including NExT++ ($12 million), Base Metals Price Forecasting ($200,000), and Multilingual Multimodal Knowledge Graph ($500,000). He maintains active collaborations with Tsinghua University, University of Southampton, and industry partners like Four Elements Capital and Singapore Press Holdings. As co-Director of the NExT++ Center, he leads a major research initiative focused on Web Intelligence and User Empowerment. His visiting professorships at Tsinghua University (2017-present) and Zhejiang University (2021-present) reflect his international impact in the field of multimedia and AI research.

David Williamson Shafferمشاهده پروفایل

استاد

• Learning Analytics
• Learning Sciences
• Quantitative Ethnography
• +۴ مورد دیگر

David Williamson Shaffer is the Sears Bascom Professor of Learning Analytics and Vilas Distinguished Achievement Professor of Learning Sciences at the University of Wisconsin-Madison's Department of Educational Psychology. He is also a Data Philosopher at the Wisconsin Center for Education Research. His work focuses on merging statistical and qualitative methods to model complex human collaboration. Shaffer holds an AB in History and East Asian Studies from Harvard University (1987), and MS/PhD in Media Arts and Sciences from MIT (1996/1998). Before academia, he was a teacher, curriculum developer, and game designer. His research emphasizes Quantitative Ethnography —a methodology combining big data analysis with cultural interpretation. Key contributions include Epistemic Network Analysis (ENA) and over 250 publications, including influential books like How Computer Games Help Children Learn (2006) and Quantitative Ethnography (2017). Awardees of the EU Marie Curie Fellowship (2008) and Spencer Foundation Fellowship (2003), Shaffer's work has been presented globally at conferences like Learning Analytics & Knowledge and Computer Supported Collaborative Learning. His interdisciplinary approach bridges education, data science, and humanities, addressing challenges in authentic STEM experiences, collaborative learning analytics, and culturally responsive pedagogy.

• Machine Learning
• Natural Language Processing
• Music Information Retrieval
• +۱۲ مورد دیگر

Colin Raffel , currently an Associate Professor at the University of Toronto and Associate Research Director at the Vector Institute , is a leading researcher in machine learning and natural language processing . His career spans roles at Hugging Face (Faculty Researcher), Google Brain (Senior Research Scientist), and UNC Chapel Hill (Assistant Professor). Education: PhD in Electrical Engineering (Columbia), MA in Music/Science (Stanford), BA in Mathematics (Oberlin) Key affiliations: Google Brain (2016-2020), Hugging Face (2021-present), Vector Institute (2023-present) His research focuses on language model development , attention mechanisms , efficient machine learning , and music information retrieval . Recent work explores model merging , parameter-efficient fine-tuning , and data-constrained language models . Teaching : Has instructed courses at University of Toronto and UNC Chapel Hill on Neural Networks , Deep Learning , and Information Theory . Academic service includes organizing ICLR workshops and serving as Senior Area Chair for NeurIPS and EMNLP . Notable awards : NSF CAREER (2022), Caspar Bowden Award (2023), NeurIPS Outstanding Paper (2023) Key contributions : Core developer of WT5 , Git-Theta , and mir_eval software

• Integrated Optics
• Silicon Photonics
• Semiconductor Lasers
• +۳ مورد دیگر

Professor Marc Sorel is a faculty member in the Department of Electronic & Nanoscale Engineering at the University of Glasgow's School of Engineering. He holds a PhD from Università di Pavia (1999) and joined the Optoelectronics Research Group at Glasgow in 1998 with a Rotary Foundation fellowship. Appointed Lecturer in 2002 and Senior Lecturer in 2008, he is now a Professor specializing in integrated optics, silicon photonics, and semiconductor lasers. His research focuses on applications like quantum technology, mid-infrared optoelectronics, and nonlinear photonics. Notable projects include silicon nitride optical phased arrays and rubidium-based atomic systems. He leads a team advancing chip-scale sensors and photonic integrated circuits. Collaborations with institutions like the Quantum Technology Hub highlight his industry engagement. Research interests span semiconductor ring lasers, ultrashort pulse lasers, and coupled ring resonators on silicon-on-insulator platforms. His work integrates materials science (e.g., alumina/silicon nitride) with quantum and optical engineering innovations. Over 300 publications and presentations at conferences like CLEO and ECOC reflect his global impact. Current efforts emphasize mid-infrared sensing, cold atom systems, and high-precision laser development. His lab develops photonic components for atomic trapping, quantum communication, and biomedical sensing. Recent advancements include sub-kHz linewidth lasers and low-loss waveguides. Funding from UK Research and Innovation supports his exploration of next-generation photonic technologies.

• Robotics
• 3D Computer Vision
• State Estimation
• +۵ مورد دیگر

Xingxing Zuo is an Assistant Professor (tenure-track) in the Robotics Department at MBZUAI. He holds a PhD from Zhejiang University (2021) and a Bachelor’s from UESTC (2016). Previously, he was a Postdoctoral Scholar at Caltech (2024–2025), a Postdoc at ETH Zurich (2019–2021), and held visiting roles at TU Munich, University of Delaware, and University of Technology Sydney. His research focuses on robotics, 3D computer vision, and embodied AI, with emphasis on robot-human collaboration, state estimation, and sensor fusion. Educations: PhD in Robotics, Zhejiang University (2021, with honors) Bachelor’s in Computer Science, University of Electronic Science and Technology of China (2016, with honors) Research Highlights: Develops novel methods for LiDAR-camera-inertial fusion, neural radiance fields, and radar-cameras systems Pioneered techniques like Flying Co-Stereo (long-range aerial mapping) and FMGS (vision-language embedded 3D splatting) Focuses on real-time SLAM, robust depth estimation, and photorealistic scene reconstruction Awards & Recognition: Best Paper Finalist at ICRA 2021 (CodeVIO) Oral Presentation at ICCV 2021 (MBA-VO) Recipient of Google Visiting Faculty Researcher (2023) Grants & Labs: Organized Thermal Infrared in Robotics workshop at ICRA 2025 Leads research on embodied AI and multi-sensor SLAM systems Develops open-source tools like LIC-Fusion and Coco-LIC frameworks

• Machine Learning
• Artificial Intelligence
• Neural Networks
• +۳ مورد دیگر

Geoffrey E. Hinton is a distinguished Professor in the Department of Computer Science at the University of Toronto. He is renowned for his foundational contributions to machine learning, particularly in the development of deep learning and neural networks. His research focuses on understanding learning processes in both artificial and biological systems, with key contributions including Boltzmann machines, backpropagation, and deep belief networks. He teaches advanced machine learning courses such as CSC2535, emphasizing topics like graphical models, variational inference, and deep learning architectures. His work has been published extensively in top journals and conferences, with recent papers exploring forward-forward algorithms, analog diffusion models, and scalable neural network training methods. Hinton has advised numerous PhD and master's students and collaborates with institutions like Vector Institute. He is a central figure in the global AI community, regularly presenting at conferences (e.g., 2023 talks on CBS 60 Minutes, BBC, and PBS). His lab focuses on advancing machine learning theory and applications, addressing challenges in vision, language, and generative models.

Justin Chalkerمشاهده پروفایل

استاد

• Organic Chemistry
• Chemical Biology
• Material Science
• +۶ مورد دیگر

Professor Justin Chalker is the Matthew Flinders Professor and Research Leader at Flinders University 's College of Science and Engineering, affiliated with the Flinders Institute for NanoScale Science and Technology. He works at the intersection of organic chemistry, chemical biology, and materials science , focusing on sustainable chemistry solutions for environmental and technological challenges. Education: B.S. in Chemistry and B.A. in History/Philosophy of Science (University of Pittsburgh, 2006); D.Phil. in Chemistry (University of Oxford, supervised by Benjamin Davis) Career: Assistant Professor at University of Tulsa (2012-2015); Lecturer (2015) and Senior Lecturer (2017-present) at Flinders University His lab develops chemical tools for biological system interrogation and novel materials like sulfur-based polymers for mercury remediation, recyclable composites, and zinc-ion battery cathodes. Current projects include inverse vulcanization, waste valorization, and environmental applications of sustainable chemistry. His research aligns with UN Sustainable Development Goals for environmental protection and resource efficiency, particularly in material science (vulcanization, composite materials, polysulfides) and chemical biology (cysteine modification, protein chemistry). Key scientific recognitions: 2016 Tall Poppy Award, 2017 Dream Chemistry Award Finalist, Eureka Prize Finalist (2018), SA STEM Educator of the Year (2018), AMP Tomorrow Maker Award (2018) Prospective students can contact Dr. Chalker directly for Ph.D. and Honours opportunities. The lab website ( www.chalkerlab.com ) provides details on their research in sulfur chemistry, recyclable polymers, and chemical sustainability .

Jamie Peckمشاهده پروفایل

استاد

• Economic Geography
• Urban Restructuring
• Political Economy
• +۷ مورد دیگر

Professor Jamie Peck is a University Killam Professor and Professor of Geography at the University of British Columbia, Faculty of Arts, Department of Geography. He holds the prestigious title of Distinguished University Scholar at UBC and maintains significant international academic affiliations including Visiting Professor at Oxford University's School of Geography and the Environment, Honorary Professorial Fellow at the University of Manchester, and Honorary Professor at the University of Nottingham. Peck received his PhD in Geography from the University of Manchester in 1988 following his BA (Hons) in Geography from the same institution. His distinguished academic career spans positions at the University of Manchester (1989-2000), University of Wisconsin-Madison (2000-2008), and his current position at UBC where he has been a central figure in economic geography and interdisciplinary social science. As an institutional political economist, Professor Peck's research critically examines the spatial dimensions of economic processes, with particular attention to how global phenomena like neoliberalization are constituted through local practices. His work bridges economic geography, urban studies, political economy, and social theory, consistently challenging conventional understandings of market processes and statecraft. Recent research focuses on Chinese state capitalism, especially the Greater Bay Area and Hong Kong's evolving political status, alongside methodological innovations in conjunctural analysis as demonstrated in his 2023 book Variegated Economies . His scholarly output reveals a sustained engagement with the variegated nature of capitalist development across different spatial contexts. Recent publications demonstrate a sophisticated methodological approach combining institutional analysis with extended case methods, emphasizing historical context and spatial specificity while challenging universalizing theoretical claims. His work on Chinese political economy represents a significant departure from conventional Western-centric analyses. University Killam Professor (2025) Lauréat Prix International de Géographie Vautrin Lud ("Nobel de Géographie") (2023) Corresponding Fellow of the British Academy Fellow of the Royal Society of Canada Clarivate Highly Cited, Social Sciences (2014-2024) Distinguished University Scholar, UBC (2017-present) Canada Research Chair in Urban & Regional Political Economy (2008-2022) Professor Peck has supervised numerous doctoral students whose dissertations examine diverse topics including global urban solutions industries, US-Mexico border economies, Rio de Janeiro's 'PACification' processes, and China's experimental economic zones. His supervision approach emphasizes theoretically sophisticated empirical work that connects local case studies to broader political economic processes. His Canada Research Chair position supported extensive research on urban and regional political economy, while his current Killam Professorship funds ongoing work on Chinese political economy and conjunctural analysis methodologies. While not formally affiliated with a specific laboratory, Professor Peck is deeply engaged with multiple scholarly networks through his editorial leadership as Managing Editor of EPA: Economy & Space and co-editor of the Economic Transformations book series. His role as Convenor of the Summer Institute in Economic Geography demonstrates his commitment to fostering scholarly exchange and theoretical development in economic geography as a discipline.

• Food Business Management
• Food Innovation
• Innovation Management
• +۷ مورد دیگر

Dimitrios Skalkos serves as a Professor at the Department of Chemistry, University of Ioannina, holding the specific title of Professor of Innovation Management in Food Businesses. His office is located in building X2, room X2-206c on the Ioannina Campus (45110 Ioannina), and he leads the Food Chemistry Laboratory. He earned his Basic Degree in Chemistry from the University of Ioannina (1980-1985) followed by a Doctoral Degree from the University of Toledo, USA (1986-1989) with dissertation research on "Di- and Tetrahydroporphyrins: Syntheses and Antitumor Activities". Skalkos's research spans Food Business Management, Food Innovation, and Innovation Management, with specialized focus on Innovation & Entrepreneurship, Aromatic Plants, Innovative Foods, and Strategic Marketing. His work bridges academic research with industry applications in food systems, emphasizing Greek agricultural products and pandemic-era consumer behavior. His 36 publications (2020-2024) reveal strong trends in post-pandemic food innovation, consumer perception of traditional Greek foods, functional food development (particularly olive oil, cheese, and grape by-products), and sustainable agri-food supply chains. Key thematic clusters include traceability systems, bioactive properties of novel foods, and economic impacts on food choices. He has actively supervised Master's and PhD students through departmental presentations, directed 23 research programs, and organized 15 seminars and conferences. His laboratory website ( https://foods.chem.uoi.gr ) showcases ongoing food chemistry innovations.

Gianluca Iaccarinoمشاهده پروفایل

استاد

• Scientific Computing
• Uncertainty Quantification
• Turbulence Modeling
• +۶ مورد دیگر

Gianluca Iaccarino is a Professor of Mechanical Engineering at Stanford University and the Robert Bosch Chairholder. He serves as Director of the PSAAP Center and leads large-scale computational research initiatives in uncertainty quantification, exascale computing, and multiphysics simulations. His academic journey includes a PhD in Mechanical Engineering from Politecnico di Bari (2005), postdoctoral work at Stanford's Center for Turbulence Research, and progression from Research Engineer to full Professor. Education : PhD (Politecnico di Bari), MS/BS in Aeronautical Engineering (University of Naples) Research : Computational engineering, turbulence modeling, uncertainty quantification, biomedical fluid dynamics, and exascale-ready algorithms Publications : 15+ recent articles focus on turbulence modeling, data-driven simulations, and uncertainty quantification across diverse applications in aerospace, biomedical, and energy systems Awards : PECASE (2010), APS Fellow (2019), multiple best paper awards (AIAA, ASME), Terman Fellow (2007) Students : Advises doctoral and master's students in mechanical engineering and computational methods Leadership : Director of PSAAP Center (2014-present), Chair of Mechanical Engineering Department (2024-present)