جستجوی استاد راهنمای دانشگاهی

Richard K. Larson is a Distinguished Professor of Linguistics at Stony Brook University, specializing in syntax and semantics. He holds a Ph.D. from the University of Wisconsin-Madison (1983). His research focuses on syntactic structures, quantification, clausal complementation, and cross-linguistic phenomena in languages like Warlpiri, Japanese, Turkish, and Mandarin. He is recognized for pioneering the Grammar as Science Project , developing educational software Syntactica and Semantica , which earned him the 1998 EduCom Medal. Education: Ph.D. in Linguistics, University of Wisconsin-Madison, 1983 Research Interests: Larson’s work spans syntax-semantics interface, quantifier scope, NP adverbs, psych-verbs, and formal linguistic theory. He emphasizes scientific rigor in syntax, advocating for linguistics as an experimental science. Current projects include rethinking syntactic cartography and Ezafe constructions in Iranian languages. Awards: EduCom Medal (1998) MIT Graduate Council Teaching Award SUNY Chancellor’s Award for Excellence in Teaching Stony Brook Dean’s Award for Excellence in Graduate Teaching Advising & Grants: Larson has advised numerous graduate students and contributed to NSF-funded initiatives like the Accelerated College Education (ACE) program. His grants focus on computational linguistics tools and language education outreach. Key Contributions: Authored foundational textbooks including Grammar as Science (2010) and Knowledge of Meaning (1995). His work on AP-de adverbs in Mandarin and Ezafe construction has reshaped syntactic analysis. Active in promoting linguistics education at secondary/higher education levels through AP Linguistics initiatives.

• Formal Linguistics
• Syntax
• Semantics
• +۳ مورد دیگر

Prof Noel O'Connor is a Full Professor at Dublin City University's School of Electronic Engineering, specializing in cutting-edge research at the intersection of artificial intelligence (AI), medical imaging, robotics, and smart city technologies. His work spans applications such as cardiac MRI reconstruction, robotic manipulation using reinforcement learning, and the development of the Smart DCU Digital Twin for autism-friendly university environments. Research interests include AI-driven medical diagnostics, multimodal data fusion, and adaptive systems. His contributions to cardiac MRI reconstruction and transformer-based medical imaging analysis reflect a strong focus on healthcare innovation. He also explores ethical AI practices to reduce social bias in foundation models. Recent work emphasizes smart infrastructure projects, such as optimizing parking recommendations for electric vehicles and enhancing accessibility through digital twin frameworks. His research often integrates real-time sensor data and multi-agent systems to address complex urban challenges. No scientific awards are listed. Collaborations include the ASU-DCU International Research Program on Sensors and Machine Learning. Advising details and grant information are not explicitly provided.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۴ مورد دیگر

Dr. Md Arifuzzaman is an Assistant Professor in the Department of Computer Science at Missouri University of Science and Technology (Missouri S&T). He specializes in High-Performance Systems, Quantum Networking, and Distributed Systems, focusing on optimizing large-scale system performance and scalability. His work addresses challenges in next-generation networks and storage systems, with publications in top venues like IEEE TPDS and ACM Supercomputing. Education: Ph.D. in Computer Science and Engineering, University of Nevada, Reno (2023) B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2016) Research Interests: Dr. Arifuzzaman's work spans cutting-edge topics including quantum entanglement routing, reinforcement learning for network optimization, and high-speed file transfer protocols. His research emphasizes practical solutions for emerging technologies like terabit networks and quantum communication systems. Publications: Recent work focuses on quantum network protocols, machine learning-driven network probing, and storage reliability. His articles highlight advancements in both theoretical frameworks and real-world system implementations. Awards: No specific awards mentioned in the provided information. Advising/Grants: Details regarding student advising and grant activities are not explicitly stated in the text.

• High-Performance Networking
• Quantum Networking
• Distributed Systems
• +۳ مورد دیگر

Jennifer Johnson-Hanks serves as Professor and Executive Dean of the College of Letters & Science at the University of California, Berkeley, holding a joint appointment in the Departments of Sociology and Demography. She currently chairs the Berkeley Division of the Academic Senate, demonstrating significant administrative leadership within the university structure while maintaining active scholarly contributions to demographic theory and methodology. Her educational background includes: BA in Anthropology from University of California, Berkeley MA in Anthropology from Northwestern University PhD in Anthropology from Northwestern University Johnson-Hanks' research examines the intersection of cultural anthropology and demography, with particular focus on how intentions shape family formation and fertility decisions in contexts of uncertainty. Her work integrates ethnographic evidence with demographic analysis to explore life course transitions, especially in sub-Saharan Africa where she has conducted extensive fieldwork on educated women's motherhood timing. Central to her scholarship is the critique of methodological individualism in demographic research, emphasizing how material and schematic structures influence vital events. Analysis of her 2015-2022 publications reveals persistent thematic threads: methodological innovation in measuring intentions, the social construction of statistical norms, and the cultural embeddedness of demographic behavior. Her work consistently challenges assumptions about preference stability while developing frameworks like 'conjunctural action' to integrate social theory with demographic analysis. Regional expertise in African demographic systems informs broader theoretical contributions about how uncertainty shapes life decisions across diverse contexts. While specific advising relationships and grant funding details aren't documented in available sources, Johnson-Hanks' leadership roles and theoretical contributions indicate significant institutional influence. Her directorship of the College of Letters & Science positions her at the nexus of academic administration and demographic scholarship, where she shapes both research agendas and educational infrastructure.

• Culture and population
• intentions
• uncertainty
• +۷ مورد دیگر

Thomas Tran is a Full Professor at the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa. He holds a Ph.D. in Computer Science from the University of Waterloo (2004) and a B.Sc. (Double Major in Mathematics and Computer Science) from Brandon University (1999). His research focuses on Artificial Intelligence, Electronic Commerce, Multi-Agent Systems, Trust and Reputation Modeling, and Recommender Systems. He has published over 80 refereed papers and supervised 27 graduate students (4 PhDs and 23 Masters). Education: Ph.D. in Computer Science, University of Waterloo (2004) B.Sc. (Double Major in Mathematics and Computer Science), Brandon University (1999) Research Interests: AI Applications in E-Commerce and Mobile Business Trust Establishment Models in Multi-Agent Systems Recommender Systems and Deep Learning Clinical Data Analysis for Hidradenitis Suppurativa Awards: Governor General's Gold Medal (2004) NSERC Postgraduate Scholarships (PGS A/B) AAAI Doctoral Consortium Participant (2002) Advising and Grants: Supervised 27 graduate students Recipient of multiple research grants (details unspecified) Labs/Teams: Active in AI and E-Commerce research groups within EECS.

• Artificial Intelligence
• Electronic Commerce
• Intelligent Agents and Multi-Agent Systems
• +۶ مورد دیگر

Alma Leora Culén is a Professor in the Design of Information Systems at the Department of Informatics, University of Oslo, part of the Faculty of Mathematics and Natural Sciences. She holds a prominent role in advancing sustainable interaction design, research through design methodologies, and transformative design practices focused on societal transitions. Her academic journey includes contributions to HCI education reform, emphasizing ethical and sustainable design principles. Culén has pioneered projects like 'Plurishop' exploring sustainable smartphone alternatives and 'Transition Design' approaches for mitigating democratic erosion. She actively engages in interdisciplinary collaborations through research groups such as DESIGN and Design4Dem. Key research interests span sustainable technology, participatory design processes, and leveraging AI for complex design mediation. Her work often intersects with societal challenges like climate action, youth engagement in socio-technical systems, and rural sustainability initiatives. Culén's pedagogical innovations include intensive design courses and speculative installations for civic education. She leads projects funded by the Norwegian Research Council, focusing on sustainable consumption patterns and MaaS solutions for rural areas. Notable collaborations include international design research societies and EU-funded sustainability initiatives. Her lab activities emphasize participatory prototyping and transition design frameworks, with a focus on vulnerable populations such as chronically ill youth and elderly users. Culén's work bridges academic research with real-world impact through partnerships with libraries, municipalities, and tech industries.

• Interaction Design
• Sustainable Interaction Design
• Research through Design
• +۳ مورد دیگر

Dilian Gurov is a Professor in Computer Science at KTH Royal Institute of Technology, associated with the Digital Futures Faculty and the Division of Theoretical Computer Science. He also coordinates the Doctoral Programme in Computer Science at the CSC school. Before joining KTH in 2002, he earned a Ph.D. from the University of Victoria, Canada (1998), and worked at the Swedish Institute of Computer Science (1997-2002). His research focuses on software specification and verification, including contracts, program models, logics, and tools, as well as multi-agent strategic planning involving knowledge-based strategies in imperfect information settings. Key contributions include the CAV Distinguished Paper Award 2023 for 'Automatic Program Instrumentation for Automatic Verification' and an EASST award for 'Checking Absence of Illicit Applet Interactions: A Case Study' (2004). He leads projects funded by VR (SEFROS, ContraST) and Vinnova (AVerT2) and collaborates with industries like Scania on formal verification of C programs. His service roles span over 30 conference committees and organization roles, including PC memberships for iFM, TAP, and ISoLA. Teaching responsibilities include courses such as 'Formal Methods,' 'Program Semantics and Analysis,' and 'Knowledge in Games with Imperfect Information.' His work emphasizes practical applications of formal methods, bridging academic research with industry needs through collaborations and tool development (e.g., CVPP, ProMoVer, TriCo).

• Software Specification and Verification
• Multi-Agent Strategic Planning
• Formal Methods
• +۳ مورد دیگر

Dr. Ziquan Liu is a Lecturer (Teaching & Research) at Queen Mary University of London's School of Electronic Engineering and Computer Science, affiliated with the Centre for Multimodal AI. He holds a PhD from City University of Hong Kong (2023) and dual B.Sc./B.Eng. degrees from Beihang University (2017). His research focuses on trustworthy machine learning, adversarial robustness, and uncertainty quantification in foundation models. He has served as a reviewer for top conferences like NeurIPS, ICLR, and CVPR, earning an Outstanding Reviewer Award in 2021. His teaching includes modules on machine learning for visual data analysis and principles of machine learning. He supervises PhD students in AI safety and reliability, with notable work on conformal prediction, adversarial attacks, and multimodal learning. His research outputs span top venues such as ICML, CVPR, and NeurIPS, addressing challenges in algorithmic fairness, model certification, and cross-modal alignment.

• Reliable Machine Learning
• Uncertainty Quantification
• Computer Vision
• +۴ مورد دیگر

Oscar Mendez Maldonado is a Lecturer in Robotics and Artificial Intelligence at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Robotics Department and CVSSP Centre. He holds a PhD (2018) and BEng (2013) from the University of Surrey. His research focuses on Machine Learning, Computer Vision, and Robotics, with emphasis on autonomous systems, localisation, and SLAM applications. Key projects include the Autonomous Valet Parking (AVP) system for indoor navigation and the SMILE project for sign language assessment using AI. He has supervised students like James Ross (Autonomous Vehicles), Xihan Bian (Reinforcement Learning), and Nimet Kaygusuz (Visual Odometry). Notable achievements include the Sullivan Thesis Prize (2018) and impactful publications in IEEE conferences (e.g., ICRA, CVPR, IROS). Research spans topics like 3D hand pose estimation via diffusion models, graph-based visual odometry fusion, and Raman spectroscopy for localisation. He contributes to open-source tools (e.g., RaSpectLoc GitHub) and collaborates with industry partners like Parkopedia. His work bridges theoretical advances with real-world applications in autonomous systems and healthcare.

• Robotics
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Ryan Henry is an Assistant Professor in the Department of Computer Science at the University of Calgary. His research focuses on applied cryptography, emphasizing the development of secure systems that prioritize user privacy. His work spans designing privacy-enhancing technologies, implementing cryptographic protocols, and analyzing number-theoretic attacks on cryptographic assumptions. He also explores theoretical aspects of cryptographic efficiency and practical deployment challenges. While specific educational background details are not provided in the text, his research contributions highlight expertise in cryptography, secure systems, and privacy-preserving technologies. His work has addressed topics such as Private Information Retrieval (PIR), secure messaging, and blockchain privacy. Key research interests include: Secure Multiparty Computation Privacy-Preserving Data Access Efficient Cryptographic Protocols Zero-Knowledge Proofs IoT Security Cryptocurrency and CBDC Design His recent publications emphasize advancements in distributed systems security, privacy in recommendation systems, and cryptographic efficiency. Notable contributions include the Grotto and Duoram frameworks for secure computation, and proposals for Canadian CBDC frameworks. Despite extensive research output, no scientific awards or grants are explicitly mentioned in the provided text. Collaborations and lab affiliations are not detailed, though his work suggests involvement in interdisciplinary projects on privacy and security technologies.

• Applied Cryptography
• Secure Systems
• Privacy-Preserving Technologies
• +۳ مورد دیگر

Professor Peter Chin is a Professor of Engineering at Dartmouth College and Director of the Learning, Intelligence + Signal Processing (LISP) Lab. He holds affiliations with the Thayer School of Engineering and serves as Associate Editor of IEEE Transactions on Computational Social Systems. His research bridges signal processing, machine learning, game theory, and differential geometry, with applications in cybersecurity, healthcare, and network analysis. Education: Bachelor of Science in Electrical Engineering, Computer Science, and Mathematics from Duke University (1993) Doctor of Philosophy in Mathematics from MIT (1998) Research Interests: Chin’s work focuses on fundamental questions at the intersection of machine learning, game theory, and signal processing. His lab explores topics like adversarial defense mechanisms, topological machine learning, and computational neuroscience. Recent projects include cybersecurity resilience modeling, medical imaging enhancements via GANs, and multi-agent reinforcement learning frameworks. Publications Trends: His most recent articles address cutting-edge challenges in cybersecurity (e.g., autonomous defense systems), medical AI (e.g., Alzheimer’s classification), and adversarial robustness. A notable 2025 focus is on quantitative resilience modeling for cyber defense, reflecting growing demand for AI-driven security solutions. Awards: Faculty Scholar Award, Duke University George Sherred III Award, Duke University Julia Dale Memorial Award, Duke University Grants & Leadership: Recipient of DARPA cybersecurity research grants Co-chair for SPIE/DSS Cyber Sensing Conference (2013–2020) Developed novel compressive sensing microscope for biological imaging LISP Lab: This interdisciplinary lab pioneers projects like nFlip (multiplayer security game models) and topological machine learning frameworks, emphasizing practical applications of theoretical advancements.

• Machine Learning
• Artificial Intelligence
• Differential Geometry
• +۸ مورد دیگر

Denni Arli is an Associate Professor in Marketing and Discipline Lead at the Tasmanian School of Business and Economics (TSBE), University of Tasmania. He has previously held academic positions at the University of Minnesota Duluth, USA, and Griffith University, Australia, demonstrating a strong international academic trajectory. His primary affiliation is with the Department of Marketing within the TSBE, where he contributes significantly to research, teaching, and leadership. His educational qualifications include a PhD in Marketing from the University of New South Wales, a Master of Arts in International Business from St. Mary's University of Minnesota, USA, and a Bachelor of Architecture from Petra Christian University, Indonesia. These diverse academic foundations underpin his multidisciplinary research approach. Denni Arli's research centers on critical social and ethical dimensions of consumer behavior. His principal areas of interest include Social Marketing , Consumer Ethics , Corporate Social Responsibility (CSR) , Consumer Religiosity , and Marketing Technology . He investigates how values, beliefs, and societal issues influence marketing practices and consumer decisions, particularly in contexts involving sustainability, health, and digital innovation. His work often adopts a cross-cultural perspective, engaging with collaborators from Australia, the USA, New Zealand, India, and Indonesia. His recent publications (2023–2025) reveal a consistent and impactful research agenda focused on ethical consumerism, digital marketing ethics, sustainability, and the role of religiosity in shaping consumer attitudes. Topics range from cultured meat acceptance and green marketing orientation to eWOM in tourism and privacy concerns in online advertising. These works are published in top-tier journals such as the Journal of Business Ethics , European Journal of Marketing , and Marketing Intelligence and Planning , indicating high scholarly impact and thematic coherence. Associate Editor , Marketing Intelligence and Planning (since June 2023) Editorial Review Board Member , Journal of Business Ethics, Springer (since February 2023) Denni Arli is actively involved in research supervision and grant acquisition. He currently supervises doctoral research on sustainable rural markets, cultured meat acceptance, and entrepreneurial intention among youth. He has successfully secured competitive external funding, including an Australian Research Council (ARC) Linkage Grant and grants from the Department of Foreign Affairs and Trade, supporting projects on social marketing interventions in Australia and Indonesia. These projects address pressing societal challenges such as alcohol use, obesity, tourism recovery, and sustainability education. He leads and participates in funded research initiatives, including a consultancy for the Tasmanian Greens on greyhound racing industry transition and a DFAT-funded project to equip Indonesian teachers with sustainability education tools. These engagements highlight his commitment to applying academic research to real-world policy and community outcomes.

• Social Marketing
• Consumer Ethics
• Corporate Social Responsibility
• +۷ مورد دیگر

Konstantinos Avramidis is an Assistant Professor at the Department of Architecture of the University of Cyprus , where he focuses on architectural design, urban cultural studies, and visual communication. He earned his PhD in Architectural Design from the University of Edinburgh as a fellow of the Edinburgh College of Art, following a Master's in Architecture and Spatial Design with distinction from the National Technical University of Athens and undergraduate training at Aristotle University of Thessaloniki. Current position: Assistant Professor, University of Cyprus Previous teaching: Drury University, University of Portsmouth Academic honors: Fellow of UK Higher Education Academy His research explores intersections between architectural design, graffiti/street art, and urban spatial practices. He has co-edited the book Graffiti and Street Art: Reading, Writing and Representing the City (Routledge, 2017) and founded the Drawing On research journal and Routledge Advances of Graffiti and Street Art Research series. His work analyzes urban inscriptions as critical spatial practices, examining how crises reshape architectural representation. Scientific distinctions include first prizes in the 'Kozani x4' and 'Thesprotia Chamber of Commerce' architectural competitions. His research has been presented at institutions like TU Delft, ICA, and University College London, with publications in journals such as City: Analysis of Urban Change and The Design Journal . He actively supervises student projects that have won multiple awards.

• Research through design
• Architectural design
• Architectural communication
• +۴ مورد دیگر

Professor Carsten Rudolph serves as Deputy Dean at Monash University's Faculty of Information Technology and directs the Oceania Cyber Security Centre (OCSC). He holds a PhD in Information Security from Queensland University of Technology (2002) and a Diplom in Computer Science from Goethe University Frankfurt (1997). His interdisciplinary research focuses on cybersecurity foundations, including cryptographic protocols, AI-driven security, human factors, and national cybersecurity policy. Key areas include securing smart grids, digital health systems, and transnational energy networks. Notable contributions include establishing the OCSC, leading Pacific region cybersecurity maturity reviews with Oxford University, and advancing frameworks for firmware security in virtual power plants. He chairs major projects like RAI4IoE (Responsible AI for Energy) and Post-Quantum Cryptography initiatives. Teaching responsibilities include cybersecurity modules like FIT3173 and FIT3168. Rudolph's research outputs (137+ publications) emphasize phishing detection via AI, blockchain-based energy trading, and resilient smart grid systems. He collaborates internationally on policy development and has advised 12 major research projects funded by agencies like the U.S. Bureau of East Asia and Pacific Affairs.

• Cyber Security
• Formal Methods
• Cryptographic Protocols
• +۵ مورد دیگر

Professor Stephanie Decker is a leading academic at the University of Birmingham, affiliated with the Birmingham Business School and the Department of Strategy and International Business. She is Professor of Strategy and Co-Vice Chair for Research & Publications at the British Academy of Management (2022–2025). Her interdisciplinary work connects history and the social sciences, particularly in organization studies, strategy, and international business. Her research focuses on business history, especially the historical development of organizations and entrepreneurs in Africa, with attention to multinational corporations and postcolonial transitions. She is a pioneer in developing historical and archival methods for management research, including digital and email archives. She has published extensively in top journals such as Academy of Management Review , Journal of Management Studies , and Business History , and co-edited the Handbook of Historical Methods for Management (2023). Her recent work explores decolonizing curricula, generative AI, and organizational wrongdoing. Stephanie has secured research funding from the ESRC, AHRC, Leverhulme Trust, Newton Fund, Mellon Foundation, and British Academy. She has held visiting appointments at universities in Italy, Denmark, and Germany. Her awards include the Emerald Citations of Excellence (2017), the Henrietta Lawson Prize (2018 and 2021), and Best Paper Awards at the British Academy of Management (2020, 2024). She is a Fellow of the Academy of Social Sciences (2024) and the Higher Education Academy (2013). She supervises doctoral students at the University of Birmingham and the University of Bristol. She is a member of Unilever’s Independent Research Panel and serves on several scientific advisory boards, including those of the Chartered Association of Business Schools and Austrian Society of Business History. She also contributes to professional development for archivists and knowledge managers.

• Business History
• Organization Studies
• Strategy
• +۱۲ مورد دیگر