جستجوی استاد راهنمای دانشگاهی

Qiang Tang is currently an Associate Professor (Level D) at the School of Computer Science of The University of Sydney. Previously, he was a Senior Lecturer (2021.1-2024.12) at USYD and an Assistant Professor at the Computer Science Department of New Jersey Institute of Technology (2016.8-2021.1), where he co-directed the JACOBI Blockchain Lab with Prof. Jian Pei and Prof. Zhenfeng Zhang. He completed his PhD at the University of Connecticut under Prof. Aggelos Kiayias and Prof. Alexander Russell, following postdoctoral research at Cornell University with Prof. Elaine Shi. His research spans applied and theoretical cryptography, blockchain technology, privacy, and computer security. His work is supported by ARC, Google, Ethereum Foundation, Stellar Foundation, Protocol Labs, Algorand Foundation, Oracle, and USYD. Previous funding includes NSF, JD.com, AFRL, DoE, and Particl Foundation. His research has led to significant contributions in consensus protocols, distributed randomness generation, secure multi-party computation, and privacy-preserving technologies. Tang's publications reveal a strong focus on practical cryptographic solutions for blockchain and distributed systems. His recent work demonstrates expertise in asynchronous consensus, optimal protocol design, and secure implementations for real-world applications. His research shows consistent innovation in improving efficiency, security, and scalability of distributed systems. Scientific Awards: 2025 DSN Best Paper Award 2024 ICDCS Distinguished Paper Award 2023 SOAR Prize, USYD 2023 Oracle for Research Award 2022 Stellar Foundation Research Awards 2022 Ethereum Academic Award 2019 MIT Technical Review, 35 Chinese Innovators Under 35 Tang actively mentors PhD and Master's students, with several alumni now holding faculty positions or research roles at institutions like City University Hong Kong, Chinese Academy of Sciences, and A*STAR Singapore. He has received significant research funding including a multi-year Google project on End-to-End Secure Cloud and an ARC DP grant on Order Fairness in Decentralized Systems. He leads the research in his lab focusing on blockchain protocols and cryptographic applications, with strong industry connections through collaborations with Google, Ethereum Foundation, Stellar Foundation, and Protocol Labs. His team regularly publishes in top security and cryptography venues including CRYPTO, CCS, USENIX Security, and S&P.

• Cryptography
• Blockchain Technology
• Computer Security
• +۳ مورد دیگر

Prof. Dr. Franziska Jahnke is a Professor in the Faculty of Mathematics and Computer Science at the University of Münster, affiliated with the Institute for Mathematical Logic and Foundational Research. She specializes in model theory and its applications to algebra, particularly valued fields, set theory, and arithmetic definability. Her research bridges foundational mathematics and algebraic structures, with a focus on henselian valuations, NIP fields, and combinatorial aspects of valued fields. Education: Diplom in Mathematics from Albert-Ludwigs-Universität Freiburg (2009), DPhil in Mathematics from the University of Oxford (2013). Academic roles include Junior Professor at Münster (2017–2024), and a visiting position at the University of Amsterdam (2023–2024). Research Interests: Model theory of fields, arithmetic definability of valuations, perfectoid fields, and connections to infinite combinatorics. Key contributions include work on Ax-Kochen-Ershov principles, NIP fields, and classification conjectures in strongly dependent fields. Recent Activities: Organized workshops on non-archimedean geometry and model theory of valued fields. Recipient of the Teaching Prize 2022 and a fellow of the Daimler und Benz Stiftung. Deputy Equal Opportunity Representative in her department. Supervision: Advised multiple PhD students (e.g., Blaise Boissonneau, Simone Ramello) and postdocs. Taught courses on algebra, logic, and model theory, including lectures on valued fields and stability theory.

• Model Theory
• Set Theory
• Algebra
• +۳ مورد دیگر

Associate Professor Ken Chung is affiliated with the University of Sydney's School of Project Management, serving as Associate Head of Education. He holds a PhD (University of Sydney) and dual undergraduate degrees (B.Sc (Hons I), B.Com). His research focuses on social network theory applied to stakeholder engagement in projects, healthcare coordination, and complex systems. Notable awards include the 2021 Faculty of Engineering Dean's Award for Excellence in Teaching and a PMI grant for infrastructure stakeholder engagement research. He has collaborated with organizations like NSW Department of Planning, Google, and Western Sydney Airport. Teaching includes courses like ENGG1850 and PMGT5871. Current projects explore stakeholder analysis, community engagement in infrastructure, and healthcare networks. His expertise spans 20+ years, with international partnerships at Webster Vienna and University of Southern Denmark. Professional activities include editorial roles, ARC grant reviewing, and industry advisory roles. Education highlights: PhD in Information Technologies (2009, Sydney), prior lectureship at University of Wollongong. Industry experience includes Telstra Messaging Group and DoubleClick Australia. Research integrates social physics principles, examining network structures' impact on project success, healthcare outcomes, and organizational behavior. Grants include ARC DP-funded health research and PMI-funded infrastructure studies. Key themes include network-based models for stakeholder engagement, project management innovation, and social capital utilization.

• Stakeholder Engagement
• Social Network Theory
• Project Management
• +۴ مورد دیگر

Dr. Tyler H. Summers is an Assistant Professor of Mechanical Engineering at the University of Texas at Dallas (UTD), with an affiliate appointment in Electrical Engineering. He holds a PhD in Aerospace Engineering from the University of Texas at Austin (2010) and completed a postdoctoral fellowship at ETH Zurich (2011–2015). His research focuses on feedback control and optimization in complex dynamical networks, including electric power grids and distributed robotics. Key contributions include stochastic optimal power flow methods, distributed formation control algorithms, and robust control design under uncertainty. Education: PhD in Aerospace Engineering (University of Texas at Austin, 2010) M.S. in Aerospace Engineering (University of Texas at Austin, 2007) B.S. in Mechanical Engineering (Texas Christian University, 2004) His research interests emphasize theoretical and computational tools for cyber-physical systems, including power networks and robotic teams. Notable achievements include a NSF CAREER Award ($500K) and an Army YIP grant ($350K). He leads the Control, Optimization, and Networks (COIN) Lab, which develops algorithms for robust control and distributed optimization. Recent work addresses challenges in integrating renewable energy into power systems and enabling safe autonomous robotics in uncertain environments. Grants and projects involve collaborations with institutions like the University of Melbourne and the Australian National University. Grants & Awards: NSF CAREER Award (2021) Army Research Office YIP (2017) Air Force Office of Scientific Research (2019) Lab & Team: The COIN Lab focuses on interdisciplinary projects involving students and postdocs in control theory, robotics, and optimization.

• Feedback Control
• Optimization in Complex Dynamical Networks
• Electric Power Networks
• +۴ مورد دیگر

Jonathan Cullen is Professor of Sustainable Engineering at the University of Cambridge and President of Fitzwilliam College, specializing in resource efficiency and decarbonization through top-down analysis of industrial material and energy systems. His work bridges academic research with industry applications across energy-intensive sectors. Education: Bachelor's in Chemical and Process Engineering, University of Canterbury, New Zealand MPhil in Engineering for Sustainable Development, University of Cambridge PhD in Engineering Fundamentals of Energy Efficiency, University of Cambridge His research develops metrics for quantifying energy and material consequences of production systems, focusing on circular economy implementation, minimum energy requirements, and zero-carbon transition pathways. Key applications target cement, steel, plastics, and petrochemicals where he pioneers methods like exergetic analysis and material flow accounting to expose carbon lock-ins and circularity opportunities. Recent publications reveal three dominant trends: (1) Frameworks for theoretical minimum energy requirements across industrial processes, (2) Geopolitical analysis of critical mineral flows and ownership structures, and (3) Circular economy metrics for plastics and construction materials. These consistently employ system-scale modeling validated through industry partnerships. Research Funding: Lead: C-THRU ($4M, VKRF) - carbon clarity in petrochemical supply chains Co-I: UK FIRES (£5.2M, EPSRC) - industrial decarbonization program Co-I: CirPlas (£1.25M, UKRI) - plastic waste elimination 7+ projects (EPSRC, Innovate UK, Horizon 2020) Academic Leadership: Teaching: Energy Systems and Policy (MPhil in Energy Technologies) Undergraduate supervision in Materials/Mathematics Graduate Tutor at Fitzwilliam College IPCC AR6 Lead Author (Industry Chapter) He directs the Resource Efficiency Collective, which develops open-source tools like Mat-dp for material demand projections and Starter Data Kits for energy planning. Current work focuses on scaling circular business models for construction retrofitting and quantifying geopolitical risks in critical mineral supply chains.

• Resource Efficiency
• Circular Economy
• Decarbonization
• +۳ مورد دیگر

Yihan Sun is an Assistant Professor at the University of California, Riverside (UCR) since January 2020. He earned his Ph.D. in Computer Science from Carnegie Mellon University (CMU) , advised by Guy Blelloch , and holds a Bachelor's degree in Computer Science from Tsinghua University . Research Interests: Yihan Sun focuses on the theory and practice of parallel computing , including Parallel algorithms and data structures Write-efficient algorithms for Non-Volatile Memory (NVM) Computational geometry (range trees, Delaunay triangulations) Graph algorithms (SSSP, SCC, cluster-based BFS) Concurrent and persistent data structures Multi-version concurrency control (MVCC) with garbage collection Applications in databases, transactional systems, and computational biology Recent Research Trends: His work on join-based parallel balanced trees has been foundational, supporting four balancing schemes (AVL, red-black, weight-balanced, treaps) and enabling efficient implementations in graph analytics, spatial queries, and dynamic programming. Recent publications focus on output-sensitive algorithms , scalable graph libraries (PASGAL) , and pedagogical approaches to teaching parallel algorithms. Teaching: He teaches CS260 (Parallel Algorithms) at UCR and has served as a guest lecturer for MIT 6.886 (Algorithm Engineering) and CMU 15-859 (Algorithms in the real world) . He also contributed to algorithm education through a tutorial at the ACM Symposium on Principles and Practice of Parallel Programming (PPoPP 2019) . Labs & Collaborations: Yihan is a core contributor to the PAM (Parallel Augmented Maps) library, which has been integrated into systems like Aspen (graph-streaming) and C-trees . He collaborates with teams at CMU-Parlay , PBBS , and Ligra , with his code available on Github for community feedback.

• Parallel Computing
• Algorithms
• Data Structures
• +۱۲ مورد دیگر

Prof. dr. Enoch O. Aboh is Professor of Linguistics at the University of Amsterdam , Faculty of Humanities, Department of Literature and Linguistics. His office is located at Spuistraat 134, room 647, and he can be contacted at e.o.aboh@uva.nl . Research Interests: Prof. Aboh’s work lies at the intersection of formal syntax, language contact, and learnability. He investigates creole formation , multilingual ecologies , Gbe and Kwa syntax , cartographic approaches to clause structure , and sign language morphosyntax . A recurring theme is the emergence and evolution of grammatical systems under contact, approached through both descriptive fieldwork and formal theoretical modelling. His publications reveal a methodological breadth spanning experimental studies with kindergarteners on statistical learning, computational detection of loanwords, and fine-grained syntactic analyses of serial verb constructions, predication patterns, and determiner systems. This spectrum underscores his commitment to integrating cognitive, typological, and formal perspectives on language. Awards & Recognition: While no specific prizes are listed in the current material, Prof. Aboh’s extensive editorial and collaborative work—evidenced by numerous co-edited volumes and Festschrift contributions—attests to his standing in the field. Students & Grants: Details on PhD advisees or funded projects are not provided in the source text. Labs & Teams: No dedicated laboratory or research group names are mentioned, yet his affiliation with the Amsterdam Center for Language and Communication (ACLC) can be inferred from the institutional context.

• Creole linguistics
• Language contact and multilingualism
• Syntax of Gbe and Kwa languages
• +۳ مورد دیگر

Professor Matthew Simpson is a leading figure in applied mathematics at the School of Mathematical Sciences, Faculty of Science, Queensland University of Technology (QUT). He holds the position of Professor of Applied Mathematics and is an Australian Research Council (ARC) Future Fellow, reflecting his sustained research excellence. His work bridges mathematical theory and biological applications, particularly in cell migration, tissue invasion, and multiscale modeling. BE (Environmental) Honours 1, University of Newcastle (1995–1998) PhD (with Distinction), Environmental Engineering, University of Western Australia (2000–2003) Research Fellow, Department of Mathematics and Statistics, University of Melbourne (2003–2006) ARC Postdoctoral Fellow, University of Melbourne (2006–2009) Lecturer (2010–2011) and Senior Lecturer (2011–2013), QUT Associate Professor (2013–2014), QUT Professor and ARC Future Fellow (2014–present), QUT Matthew Simpson’s research focuses on mathematical and computational modeling of biological systems , particularly collective cell motion, diffusion processes, and reaction-diffusion dynamics. His interests span multiscale modeling , random walk processes , cell biology , and numerical and computational mathematics . He develops and analyzes models to understand phenomena such as wound healing, cancer progression, and tissue engineering. His recent publications (2023–2025) demonstrate a strong trend toward integrating data-driven modeling , likelihood-based inference , and equation learning with traditional mechanistic models. These works emphasize parameter identifiability , uncertainty quantification , and prediction robustness in biological contexts. Themes include sharp-fronted wave propagation, mechanical cell interactions, tumor spheroid formation, and generalized diffusivity in food drying, showcasing the breadth and depth of his modeling expertise. Among his key accolades are: J.H. Michell Medal (2012) – Awarded by ANZIAM for distinguished research by an early-career applied mathematician in Australia and New Zealand. ARC Future Fellowship (2013–2017) – For the project 'New data-driven mathematical models of collective cell motion' (FT130100148). Professor Simpson has also played significant editorial and leadership roles, including: Executive Associate Editor, Journal of Engineering Mathematics Academic Editor, PLoS ONE Editorial Board Member, ANZIAM Journal Co-chair of the 2015 ANZIAM meeting He has supervised PhD students on topics such as moving boundary problems, first-passage times, stochastic simulations, and curvature-dependent growth in biological systems. His research projects have been funded by competitive Australian grants (ARC DP and FT schemes), including studies on 3D cell migration, ghrelin’s role in cell invasion, and epithelial-to-mesenchymal transition in cancer and wound healing. He is actively involved in developing computational tools for biological modeling and promoting best practices in scientific publishing.

• Applied Mathematics
• Mathematical Modelling
• Computational Modelling
• +۷ مورد دیگر

Peter Richtarik is a Professor at the King Abdullah University of Science and Technology (KAUST), specializing in Machine Learning, Optimization, and Federated Learning. He actively teaches courses such as Stochastic Gradient Descent Methods and mentors PhD and MS students like Konstantin Burlachenko, Kai Yi, and Lukang Sun. His research spans distributed optimization, parameter-efficient fine-tuning, and theoretical frameworks for non-convex and non-smooth problems. Recent work includes 2025 contributions to Bernoulli-LoRA (theoretical PEFT) and Gluon (LMO-based optimizers). He co-developed Thanos (block-wise pruning) and BurTorch (CPU-optimized training framework). His publications focus on communication efficiency ( ATA , LoCoDL ), differential privacy ( DP-RBCD ), and stochastic proximal methods. Richtarik received the Charles Broyden Prize for his work on quasi-Newton methods. He frequently presents at workshops like MLSS in Senegal and FLOW seminars.

• Machine Learning
• Optimization
• Federated Learning
• +۸ مورد دیگر

Kajsa Djärv is a Lecturer in Linguistics at the University of Edinburgh, affiliated with the School of Philosophy, Psychology and Language Sciences and the department of Linguistics and English Language. She holds a PhD in Linguistics from the University of Pennsylvania (2019), and previously served as an Alexander von Humboldt Research Fellow at the University of Konstanz. Her research focuses on formal semantics and pragmatics, exploring interactions between syntax, semantics, and discourse. Key areas include attitude reports (e.g., belief/knowledge representations), clausal complementation strategies, factivity, and embedded main clause phenomena. She employs experimental methods to investigate grammatical constraints and cross-linguistic variation in meaning representation. Teaching responsibilities include undergraduate and graduate courses in semantic theory and guided research. She currently supervises PhD and MSc students in formal semantics and pragmatics. Notable awards include the Humboldt Research Fellowship (2020–2022). Collaborative projects involve scholars like Donka Farkas (UC Santa Cruz) and Deniz Özyıldız (University of Konstanz), addressing topics such as argument-structure alternations and meaning-driven syntactic restrictions. Djärv is an affiliate member of the MECORE research project on cross-linguistic clausal embedding patterns.

• Formal semantics
• Pragmatics
• Syntax-semantics interface
• +۹ مورد دیگر

Ruth Kramer is an Associate Professor in the Department of Linguistics at Georgetown University's College of Arts and Sciences. Her research lies at the intersection of syntax and morphology, with a focus on grammatical gender, number, agreement, and syncretism, primarily in Afroasiatic languages such as Amharic, Coptic, and Ancient Egyptian. Institution: Georgetown University School: College of Arts and Sciences Department: Department of Linguistics Rank: Associate Professor Email: rtk8@georgetown.edu Office: Poulton Hall 251 Status: On sabbatical in Fall 2023 Her research interests include theoretical syntax, morphological theory, the syntax-morphology interface, phi-features, clitic doubling, and the morphosyntactic behavior of gender and number. She specializes in Amharic and has made significant contributions to the understanding of gender assignment, plural formation, and agreement patterns in this language. She also conducts research on Ancient Egyptian and Coptic, particularly in word order, relative clauses, and plural morphology. Her publications reflect a strong trend in theoretical and cross-linguistic morphosyntax, especially within the framework of Distributed Morphology. Her work often bridges detailed empirical analysis of understudied languages with broad theoretical implications for syntactic and morphological theory. She has authored a major monograph, The Morphosyntax of Gender (Oxford University Press, 2015), and numerous articles in leading journals such as Natural Language and Linguistic Theory , Linguistic Inquiry , and Journal of Afroasiatic Languages and Linguistics . Ruth Kramer is actively engaged in research collaboration, having co-authored papers with scholars like Mark Baker, Matt Hewett, and Anbessa Teferra. She has presented her work at major conferences and workshops, including NELS, Diachronic Generative Syntax, and the Afranaph Project. She teaches courses in linguistics and has advised students, though specific student names are not listed in the provided texts. She is also involved in academic service, such as contributing chapters to authoritative handbooks like The Oxford Handbook of Determiners and The Cambridge Handbook of Distributed Morphology .

• Theoretical Syntax
• Morphology
• Syntax-Morphology Interface
• +۱۵ مورد دیگر

Zeying Du, M.D., Ph.D. is a Laboratory Immunologist and Associate Director of Histocompatibility Laboratory at the Mayo Clinic in Jacksonville, Florida . She previously served as Director of Clinical Histocompatibility Laboratory and Assistant/Associate Professor in the Department of Pathology and Laboratory Medicine at Loyola University Medical Center , Illinois. Education: MD (1986), MS (1989), PhD (1998), Postdoctoral Fellow in Immunogenetics (2008), Director-in-training Fellowship in Transplant Immunology (2010) Professional Memberships: Member of American Society of Transplantation and Cellular Therapy (ASTCT), International Society of Heart and Lung Transplantation (ISHLT), American Society of Histocompatibility and Immunogenetics (ASHI) Dr. Du’s clinical and research interests focus on identifying pre- and post-transplant biomarkers of immunological risk to improve solid organ transplant outcomes and using genetic markers for hematopoietic cell transplant donor selection to reduce graft-versus-host disease. Her work has emphasized HLA typing , next-generation sequencing , and transplant immunogenetics . Her 15 most recent publications (2015–2025) center on HLA allele discovery , antibody-mediated rejection in organ transplant recipients, and immunogenetic risk factors in transplantation. These studies leverage advanced sequencing technologies to refine histocompatibility testing and improve donor-recipient matching. Scientific Awards: Paul E. Strandjord Young Investigator Award (2010) Extraordinary Young Investigator Award (2000) Second-place Award for Progress in Natural Sciences (1998) Servier Young Investigator Award (1998) Presidential Scholarship (1998) Dr. Du actively participates in HLA laboratory inspections (College of American Pathologists, ASHI), contributes to scientific review panels (ISHLT, ACHI), and leads histocompatibility testing at Mayo Clinic’s laboratory. Her research integrates clinical immunology with genetic analysis to advance precision medicine in transplantation.

• Transplant Immunology
• Histocompatibility
• Immunogenetics
• +۳ مورد دیگر

Dr. Stefano Tijerina serves as a Senior Lecturer in Management at the Maine Business School, University of Maine. His academic career follows a background in international banking and non-profit management. He holds a Ph.D. in History from the University of Maine, along with an M.P.A. from the same institution, a B.A. in Comparative Politics from Clark University, and a Graduate Certificate in International Relations from Universidad de los Andes. His research focuses on the historical business dynamics of the Western Hemisphere, particularly Colombian-Canadian relations. He has explored topics such as transnational corporate strategies, labor relations in the oil industry, and the impact of military regimes on business expansion. His work includes analyses of trade policies, development assistance, and the role of transnational entities in shaping economic landscapes. Dr. Tijerina’s publications span peer-reviewed journals, book chapters, policy papers, and book reviews. His articles often examine the interplay between economic history and political contexts, reflecting his expertise in comparative business and Latin American studies. He has contributed to platforms like the NEP-HIS Blog and ActiveHistory.ca, further highlighting his engagement with historical discourse. Scientific Award: 2017 Christopher Kobrak Research Fellowship from the Canadian Business History Association In advising and grants, while no formal student advisees are listed, his policy-oriented work demonstrates active contributions to regional economic analysis and cross-border studies. His involvement in the Border Policy Research Institute underscores his commitment to practical academic applications. Dr. Tijerina’s bio is housed at the DP Corbett Business Building in Orono, ME.

• International Business
• Comparative Business
• Business History
• +۳ مورد دیگر

Elise Newman is an Assistant Professor in the Department of Linguistics and Philosophy at MIT. Her research focuses on syntax, with additional interests in semantics/pragmatics and first language acquisition. She completed her PhD at MIT in 2021 and held a postdoctoral position at the University of Edinburgh, collaborating on projects about syntactic locality effects. Her work bridges formal syntax with experimental approaches, exploring topics like argument structure, syntactic locality, and cross-linguistic variation. Education: PhD in Linguistics (MIT, 2021); Postdoctoral Research at University of Edinburgh (2021-2022). Research themes include syntactic derivation processes, feature-driven movement, and the interface between syntax and semantics. Recent publications analyze DP movement, A/A-bar interactions, and the role of features in syntactic pathways. Her work often employs theoretical frameworks from the minimalist program while engaging with empirical data from diverse languages like Wolof and Shanghainese. Publications showcase contributions to core syntax questions, including subcategorization restrictions, pied-piping phenomena, and adjunct island effects. Though no specific awards are noted, her work demonstrates significant engagement with foundational linguistic theory. Advising and grants details are not explicitly stated in the provided information. Active in academic networks, she collaborates with institutions globally and participates in MIT's Linguistics Program, contributing to the vibrant theoretical linguistics community there.

• Syntax
• Semantics
• Pragmatics
• +۳ مورد دیگر

Hemanshu Kaul is an Associate Professor of Applied Mathematics at Illinois Institute of Technology (IIT), part of the College of Computing. He serves as Co-Director of the M.S. in Computational Decision Science and Operations Research (CDSOR) program. His expertise spans Discrete Mathematics, Operations Research, Graph Theory, and Network Optimization, with applications in transportation, computer science, and engineering. Education: PhD in Mathematics from the University of Illinois at Urbana-Champaign (UIUC), MS in Mathematics from the Indian Institute of Technology Bombay. He has held roles including Distinguished Teaching Fellow (2016–2018) and AMS Project NExT Fellow (2007–2008). Research Interests : Focus on Graph Packing, DP-coloring, List Coloring, and algorithmic solutions for discrete optimization problems. His work bridges theoretical foundations with practical applications such as transportation networks and computer science systems. Publications & Grants : Over 50 publications in combinatorics and optimization, including NSF/NSA-funded projects like the EXCILL III Conference (2016–17). Recent work explores spectral Turán problems, DP-coloring algorithms, and longitudinal network models. Awards : Board of Trustees Award for Excellence in Teaching (2019) Excellence in Teaching Award (2017, College of Science, IIT) Interdisciplinary Research Grant (2009–2010, Transportation Networks) Advising & Leadership : Co-advisor for IIT's SIAM Student Chapter. Led restructuring of the Applied Math M.Sc. program (2018–19). Advised teams in the Mathematical Contest in Modeling (MCM), including a 2019 Meritorious Winner team for a disaster response system design. Labs & Collaborations : Involved in interdisciplinary projects combining applied math with computer science and engineering, including work on equitable public transit systems and network optimization.

• Discrete Mathematics
• Operations Research
• Graph Theory
• +۵ مورد دیگر