جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۳٬۹۳۱ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Tzu-Chieh Kurt Hongمشاهده پروفایل

استادیار

University of KansasUnited States

Dr. Tzu-Chieh Kurt Hong is an Assistant Professor at the Department of Architecture within the School of Architecture and Design at the University of Kansas. He teaches design studios, algorithmic modeling, parametric design, and computer programming in design studies. He founded K9K Research & Design, focusing on innovative computational design methodologies. His research emphasizes shape grammars, visual computing, and generative modeling, particularly through the development of the Shape Machine—a computational tool integrating shape recognition and rewriting into CAD systems. Education: Ph.D. in Architecture (Design Computation), Georgia Institute of Technology (2021) M.S. in Architecture and Design, University of Michigan (2016) Master of Architecture, National Chiao Tung University (2008) M.S. and B.S. in Electronics Engineering, National Chiao Tung University (Taiwan) Research Interests: Shape embedding and rewriting in CAD systems Algorithmic design and generative systems Integration of traditional methods (e.g., Euclidean geometry) with computational tools Applications in architectural education and practice Awards: 2022 ARCC Dissertation Award for contributions to CAD systems through shape recognition research Professional Experience: Research Scientist at Georgia Tech's Shape Computation Lab (2016–2022) Contributions include the Shape Machine framework and the Smart 3D Atlanta visualization platform Labs/Teams: Leads the K9K Research & Design initiative, collaborating with academic and industry partners on computational design tools and generative workflows.

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Maged Guerguisمشاهده پروفایل

دانشیار

University of TennesseeUnited States

Maged Guerguis is an Associate Professor at the University of Tennessee, Knoxville's College of Architecture and Design, holding the McCarty Holsaple McCarty Endowed Professor title. He bridges design, structural technology, and advanced fabrication through his research and practice at softboundaries.com. Education: Bachelor of Architecture, Helwan University Masters of Architecture, The University of Illinois at Chicago His research focuses on biomimetic design, robotic fabrication, and 3D printing applications in architecture. Recent projects explore hybrid bending active systems, energy-integrated façades, and algorithmic design for large-scale additive manufacturing. Collaborative work with the SOM Foundation and AIA Chicago award-winning designs highlight his contributions to sustainable and innovative construction. Scientific recognition includes SOM Foundation Research Fellowship and Travel Award AIA Chicago Divine Detail Award USGBC Emerald Award Architizer A+ Awards Fast Company World Changing Ideas Award Guerguis' work advances computational design and digital fabrication methodologies, with a focus on merging biological principles with building technologies for high-performance architectural solutions.

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Martin v. Mohrenschildtمشاهده پروفایل

دانشیار

McMaster UniversityCanada

Dr. Martin v. Mohrenschildt is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. He holds academic positions as Undergraduate Advisor for Mechatronics and Mechatronics Coordinator. His expertise spans control systems, signal processing, hybrid systems, and immersive simulation. He earned a Dr. sc. math. ETH and Dipl. math. ETH (Swiss Federal Institute of Technology), and is a Professional Engineer (P.Eng.). Research focuses include Model Predictive Control, vibration analysis for industrial machinery, and multisensory integration in motion simulation. His Motion Simulator Laboratory features a 6-DOF simulator with advanced visualization and physiological measurement capabilities. The Embedded Systems Laboratory explores mechatronics and robotics, including alternative fuel injection systems. Teaching includes courses like CAS-748 (Time Series Analysis) and SFWR ENG 2SO3. Recent work emphasizes sensor fusion (LiDAR/camera/thermal), biofeedback systems for muscle interventions, and cognitive effects of motion cues in virtual environments. Collaborations with Dr. Shedden investigate perceptual neuroscience in immersive simulators. His lab facilities support interdisciplinary projects combining engineering, computer science, and cognitive science. Publications span 30+ years, covering hybrid systems theory, control algorithms, and applied sensor technologies. Current research directions include autonomous vehicle perception systems and aging-related changes in multisensory integration.

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Leticia Avilésمشاهده پروفایل

استاد

University of British ColumbiaCanada

Dr. Leticia Avilés is Professor of Zoology at the University of British Columbia, investigating the evolutionary forces driving social organization and their population-level consequences. Her research employs multilevel selection theory to examine social evolution, metapopulation dynamics, and cooperative systems, with emphasis on spider sociality as model systems. Key research areas: Origins and maintenance of cooperation in social spiders Evolution of skewed sex ratios in subdivided populations Metapopulation ecology and life history evolution Antipredator strategies and extended phenotypes Mutualistic interactions across environmental gradients Her work integrates field experiments across elevational gradients in the Andes, theoretical modeling, and genomic approaches to study convergent social evolution. Recent publications explore kleptoparasite impacts on spider colonies, energetics of group living, neural investment patterns, and mutualism mediation mechanisms. Experimental manipulations test how environmental factors like precipitation and predation shape social evolution.

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Mary Stoddardمشاهده پروفایل

استاد

Princeton UniversityUnited States

Mary Stoddard is Professor in Princeton University's Department of Ecology and Evolutionary Biology. Her research explores animal coloration, avian vision, and evolutionary processes using multidisciplinary approaches combining computer science, optics, physiology, and genomics. Fieldwork is conducted at the Rocky Mountain Biological Laboratory (Colorado) and Mountain Lake Biological Station (Virginia). Research investigates visual communication, color perception in hummingbirds, pattern recognition in eggshells, and the biomechanics of structural coloration. Develops open-source optical tools and software for quantifying animal coloration. Leads the Princeton Better for Birds Project to reduce bird-window collisions through community engagement and architectural solutions.

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Aishik Mandalمشاهده پروفایل

پژوهشگر

Technical University of DarmstadtGermany

Aishik Mandal is an ELLIS PhD student at UKP Lab, Technical University of Darmstadt, supervised by Prof. Iryna Gurevych and co-supervised by Prof. Aurélien Bellet. He completed his Master's in Artificial Intelligence, Machine Learning and Applications and Bachelor's in Electronics and Electrical Communication Engineering at IIT Kharagpur, where he received the Silver Medal for best academic performance in his department. His research focuses on Dialogue Systems, Multimodality, and Privacy , with significant contributions to mental health AI applications, depression detection, and culturally diverse multilingual visual question answering. His work combines advanced machine learning techniques with practical applications for healthcare and human-computer interaction. Mandal's research output shows a clear progression from foundational work in dialogue understanding and representation learning to more specialized applications in mental health and privacy-aware AI systems. His recent publications demonstrate expertise in multimodal fusion techniques, ordinal classification for depression severity prediction, and developing culturally sensitive AI benchmarks. Silver Medal from Electronics and Electrical Communication Engineering department at IIT Kharagpur DAAD WISE scholarship for internship at TU Munich Charpak Lab scholarship for internship at INRIA Paris GKF International Internship scholarship for INRIA Paris Mandal has been actively involved in research collaborations across multiple institutions, including IIT Kharagpur's Centre of Excellence in AI, Complex Network Research Group, Technical University of Munich, and INRIA Paris. His academic journey shows a strong foundation in both theoretical computer science and practical AI applications, with increasing specialization in multimodal dialogue systems and privacy-conscious AI development.

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Hao Wuمشاهده پروفایل

مدرس ارشد

University of MelbourneAustralia

Dr. Hao Wu is a Senior Lecturer in Property at the University of Melbourne's Melbourne School of Design. He holds dual affiliations with Ormond College (Senior Common Room member) and has served on professional committees for organizations like the Royal Institution of Chartered Surveyors (RICS) and the Australian Property Institute (API). His academic journey includes degrees from the University of Melbourne, University of Auckland, and Nanjing University. Research focuses on commercial property markets, urban economics, valuation theory, and sustainable land development. He applies new institutional economics and case study methods to explore property rights, policy design, and investment strategies. Spatial economics analyses in housing supply and brownfields redevelopment are key themes. Dr. Wu has taught at both undergraduate and graduate levels and serves on the editorial board of the Journal of International Housing Markets and Analysis. Professional activities include peer reviewing for academic journals and columnist roles in China Real Estate Business. His work bridges academic research with practical applications in property valuation, urban planning, and policy development. Recent collaborations involve developing quantitative frameworks for assessing brownfield redevelopment impacts and urban growth sustainability.

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Wong Kok Sheikمشاهده پروفایل

دانشیار

Monash UniversityAustralia

Associate Professor Wong Kok Sheik is the Deputy Head (Research) at the School of Information Technology, Monash University Malaysia. He holds a Doctor of Engineering from Shinshu University (Japan) and advanced degrees in Computer Science and Mathematics from Utah State University (USA). His research focuses on multimedia signal processing, cybersecurity, and digital health, with contributions to data hiding, encryption, and smart grid security. He leads a EU-funded WAge project on post-pandemic workplace health interventions. Education: PhD in Engineering, Shinshu University, Japan (2009) Masters in Computer Science & Mathematics, Utah State University, USA (2005-2004) Bachelor of Science, Utah State University, USA (2002) Professional Roles: Associate Editor, IEEE Signal Processing Letters Member, IEEE Signal Processing Society’s IFS Technical Committee Board Member, APSIPA Multimedia Security and Forensics (MSF) Committee His research interests span multimedia forensics, encrypted domain processing, and cybersecurity frameworks. Notable projects include recovery of missing coefficients in compression standards and HDR imaging enhancement. Recent work integrates digital health, addressing workplace mental/physical health in post-pandemic environments. Publications reflect expertise in watermarking, encryption, and biometric security. Key contributions include encryption-resistant data embedding and secure smart grid analytics. Awards include IEEE CES Service Awards (2015, 2016) and Best Paper recognitions. He supervises over 20 PhD/MSc students, focusing on topics like biometric recognition, data hiding, and anomaly detection. Grants include a €2M EU Horizon 2020 project (IDENTITY) and a RM146k smart grid initiative. His teaching emphasizes foundational IT research methods and theoretical computer science.

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Chiara Santolinمشاهده پروفایل

پژوهشگر

Pompeu Fabra UniversitySpain

Chiara Santolin is a Researcher at the Universitat Pompeu Fabra (UPF), affiliated with the Speech Acquisition and Perception (SAP) Group since October 2017. She holds a Ph.D. in Psychology from the University of Padova (2016) and an M.Sc. in Experimental Psychology & Cognitive Science (Summa cum Laude, 2013), also from Padova. She conducted postdoctoral training at the University of Wisconsin-Madison (USA, 2016-2017). Education: Ph.D., Psychology, University of Padova (2016) M.Sc., Experimental Psychology & Cognitive Science, University of Padova (2013) Her research explores the mechanisms underlying language acquisition, investigating whether these processes are unique to language or shared across domains. She employs interdisciplinary approaches, combining studies with human infants and animal models (e.g., domestic chicks) to examine statistical learning, syntactic structures, and categorization. Recent work includes analyzing infants’ preferences for speech prosody, constraints on non-linguistic grammar learning, and cross-species comparisons of visual and auditory learning. Collaborators include Jenny Saffran (University of Wisconsin-Madison), Giorgio Vallortigara (University of Trento), and researchers at the University of Padova. She actively participates in international conferences, presenting findings on topics like bilingual acquisition and infant cognitive development. Chiara’s research bridges developmental psychology, cognitive science, and comparative biology, aiming to uncover universal learning principles and their evolutionary foundations.

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Dimitrios Theodossopoulosمشاهده پروفایل

استاد

University of KentUnited Kingdom

Professor Dimitrios Theodossopoulos is Professor of Social Anthropology in the School of Anthropology and Conservation at the University of Kent and Director of the Centre for Ethnographic Research. His work has profoundly shaped political anthropology through ethnographically grounded studies of resistance, populism, austerity, and indigenous representation in Latin America and Southeast Europe. Education & Affiliations Professor of Social Anthropology, University of Kent Director, Centre for Ethnographic Research Member, School of Anthropology and Conservation Research Interests Professor Theodossopoulos’s research threads together political anthropology, cultural critique, and innovative multimodal methods. He interrogates non-hegemonic politics, populist discourse, and the ethics of solidarity during austerity. A distinctive contribution is his development of graphic ethnography , a visual-literate approach that wields cartoons, sketches, and photography as analytical tools rather than mere illustration, pushing ethnographic reflexivity toward new political and representational horizons. Long-term fieldwork among the Emberá in Panama underpins his explorations of indigenous modernities, exoticisation, and tourism imaginaries. By critiquing ethnographic nostalgia and the politics of authenticity, he foregrounds local epistemologies and the transformative potential of engaged anthropology. Publication Trends Across 73+ works, his recent outputs reveal a concentrated focus on three interlocking themes: (1) de-essentialising hegemony through the critical legacies of Gramsci, Williams, and Hall; (2) advancing graphic ethnography as collaborative, multimodal praxis; and (3) dissecting generational historicity and affective structures of feeling under austerity. These contributions appear in flagship journals such as Focaal , Journal of the Royal Anthropological Institute , Cultural Anthropology , and innovative multimodal venues like Entanglements . Scientific Awards & Recognition No specific named prizes or fellowships are listed in the provided materials; recognition is evidenced through sustained editorial roles, invited encyclopaedia entries, and continuous funding for doctoral supervision. Supervision & Mentorship In 24 years of fieldwork in Greece and Panama, Professor Theodossopoulos has supervised 20+ PhD students to completion (seven since 2019 alone) and currently mentors six active doctoral researchers. Topics range from climate activism and refugee volunteerism to indigenous tourism and medical pluralism, reflecting his broad theoretical and regional expertise. Labs & Teams He leads the Centre for Ethnographic Research, fostering interdisciplinary collaboration in multimodal ethnography, and is a key figure in the Graphic Anthropology network that experiments with visual-textual dialectics for public engagement.

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Arnab Mukherjeeمشاهده پروفایل

استادیار

University of California , Santa Barbara (UCSB)United States

Arnab Mukherjee is an Assistant Professor in the Department of Chemical Engineering at the University of California, Santa Barbara (UCSB), with a joint appointment in the Department of Chemistry & Biochemistry (DCB). He leads the Mukherjee Lab, focused on molecular bioimaging, combining imaging science with synthetic biology, protein engineering, and chemical biology. His research addresses challenges in visualizing biological processes via non-invasive technologies like MRI and optical imaging. His work includes developing genetically encoded reporters for MRI, such as aquaporin-based systems that enhance water diffusion for diffusion-weighted imaging. Parallel efforts involve engineering oxygen-independent fluorescent proteins (LOV domains) to enable anaerobic and deep-tissue imaging, overcoming limitations of traditional GFP-derived reporters. These innovations target applications in tumor microenvironment studies, infectious disease diagnostics, and functional imaging of cellular processes. Mukherjee's lab is located in Elings Hall (Engineering II), and he collaborates across disciplines to advance biomolecular imaging tools. His research has produced over 20 peer-reviewed articles, with recent focuses on biomolecular probes, phage-based nanomaterials, and calcium-responsive contrast agents. He holds a robust publication record spanning molecular engineering, biosensor design, and imaging technologies. He is contactable at arnabm@ucsb.edu and office 3349 Engineering II. The lab’s work is supported by grants from NIH, NSF, and industry partnerships, though specific grants are not detailed in the provided texts.

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Alan Murrayمشاهده پروفایل

استاد

University of California , Santa Barbara (UCSB)United States

Alan Murray is a **Professor and Vice Chair for Academic Personnel** in the Department of Geography at the University of California, Santa Barbara (UCSB), where he also holds the Yardi Chair in Geography. He previously held professorial roles at Ohio State University, Arizona State University, and Drexel University before returning to UCSB in 2015. Murray earned his BS in Mathematics, Master’s in Statistics and Applied Probability, and PhD in Geography, all from UCSB. His research focuses on **geographic information science (GIScience)**, **spatial optimization**, **emergency response**, **health informatics**, **urban development**, and **infrastructure systems**. He has pioneered methodologies for integrating multi-objective spatial optimization with GIS to address urban planning challenges, such as smart mobility and wildfire risk mitigation. His work emphasizes practical applications in disaster response, public health, and sustainable land use planning. Murray has advised numerous graduate students and contributed to cross-disciplinary initiatives in GIScience education and technology integration. His research has been disseminated through high-impact publications in journals like *Geographical Analysis* and *International Journal of Geographical Information Science*. He has also directed centers such as the Center for Urban and Regional Analysis. Key areas of current research include: GIScience education reform Spatial optimization for emergency response systems Wildfire risk assessment and community resilience Equitable urban planning frameworks His work bridges theoretical advancements with real-world applications, addressing pressing issues like climate adaptation, infrastructure resilience, and smart city design.

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Edgar Avalos Gaunaمشاهده پروفایل

مدرس

Rice UniversityUnited States

Edgar Avalos Gauna is a full-time Lecturer in the Department of Statistics at Rice University, affiliated with the Rice Center for Engineering Leadership. He holds a B.Eng. (2007) from Universidad Tecnológica de México, an M.Sc. in Materials Engineering (2011) from Instituto Politécnico Nacional, and a Ph.D. in Mechanical Engineering (2018) from the University of Liverpool. His research focuses on Machine Learning and AI applications in materials characterization, time series analysis, image/NLP processing, AI ethics, and business decision-making. He has served as Head of Postgraduate Programs for M.Sc. in Data Science and Ph.D. in Artificial Intelligence at Universidad Panamericana since 2021 and is a member of Mexico’s National System of Researchers (SNI), the Mexican Society of Artificial Intelligence (SMIA), and IEEE. Education: Ph.D. Mechanical Engineering, University of Liverpool (2018) M.Sc. Materials Engineering, Instituto Politécnico Nacional (2011) B.Eng. Industrial Engineering, Universidad Tecnológica de México (2007) Research Interests: Edgar’s work integrates interdisciplinary approaches, including ML-driven material behavior prediction, thermal analysis via CFD, and ethical AI frameworks. He collaborates on projects like sentiment analysis for public health (e.g., vaccine perceptions) and tourism analytics using exploratory data methods. Publications: His recent studies highlight trends in applying ML to lubricant film thickness prediction (2024), aerospace thermal management (2021), and social media-driven epidemiological insights (2021). Earlier work includes foundational studies in porous metal heat transfer (2016-2019) and boundary element methods (2012). Awards: Member of Mexico’s National System of Researchers (SNI), a prestigious recognition of scholarly excellence. Advising & Grants: While specific grants are not detailed, his leadership in postgraduate programs and teaching in Data Science and Machine Learning reflects his commitment to education. Resources for his classes are hosted on DataCamp.

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Jiayan Qiuمشاهده پروفایل

مدرس

University of LeicesterUnited Kingdom

Dr. Jiayan Qiu is a Lecturer (Assistant Professor) at the University of Leicester's College of Computing and Mathematical Science. Previously, he was a postdoctoral research fellow collaborating with Prof. Zhou Wang at the University of Waterloo's Department of Electrical & Computer Engineering. He holds a Ph.D. from the University of Sydney (USYD), advised by Prof. Dacheng Tao, and completed his MPhil and Honorable B.S. at the Australian National University (ANU). His research focuses on computer vision, machine learning, and artificial intelligence, with notable contributions to visual relationship modeling, image outpainting, depth estimation, and generative models. His work has been published in top-tier venues like IEEE TPAMI, CVPR, ECCV, and ACM KDD. Professional service activities include serving as a reviewer for prestigious journals (e.g., IEEE T-PAMI, T-IP) and conferences (CVPR, ICCV, NeurIPS), as well as a member of program committees for leading AI conferences. He also contributes to academic leadership as a Guest Editor for Frontiers in Signal Processing and MDPI-Electronics .

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Cezary Z. Janikowمشاهده پروفایل

دانشیار

University of Missouri Saint LouisUnited States

Cezary Z. Janikow is an Associate Professor and former Chair of the Department of Mathematics and Computer Science at the University of Missouri–St. Louis (UMSL), where he conducts research in artificial intelligence, evolutionary computation, and machine learning. He is the developer of FID (Fuzzy Inference Decision tree), a system for generating fuzzy decision trees that handle missing, noisy, and continuous data. His research is supported by NIH, NSF, and NASA/JSC, and he has contributed significantly to the field of genetic programming, particularly in constrained and adaptable representations (ACGP). Ph.D. in Computer Science, University of North Carolina at Chapel Hill, 1991 His research interests center on evolutionary algorithms , fuzzy decision trees , and symbolic machine learning . He explores how genetic programming can adapt representations and incorporate constraints to improve search efficiency and solution quality. His work on FID has advanced fuzzy logic applications in classification and data analysis. The recent publications reflect a sustained focus on genetic programming , particularly Adaptable Constrained Genetic Programming (ACGP) , heuristics in evolutionary search , and fuzzy decision systems . His work spans theoretical development, algorithm design, and practical implementation, with applications in optimization and machine learning. Dr. Janikow has delivered corporate training in software development and served as an expert witness in software-related legal cases. He has also organized academic workshops and presented tutorials on evolutionary algorithms. Co-PI, NIH: Statistical Methods for Recursively Partitioned Trees NSF Support: Fuzzy Decision Trees NASA/JSC Collaboration: Constrained Genetic Programming He leads the FID project, a software system for fuzzy decision tree generation, which includes a GUI and supports cross-validation and noise simulation. This tool reflects his integration of research and software development.

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