جست‌وجوی استاد و پژوهشگر

• Networking
• Communications
• Machine Learning
• +۷ مورد دیگر

Christopher G. Brinton is the Elmore Associate Professor of Electrical and Computer Engineering at Purdue University, where he leads the ION research lab. He is affiliated with the Department of Electrical and Computer Engineering in the College of Engineering at Purdue University's West Lafayette campus. Dr. Brinton received his PhD from Princeton University, where he was previously the Associate Director of the EDGE Lab and a Lecturer of Electrical Engineering. His research focuses on the intersection of networking, communications, and machine learning, with particular emphasis on Fog computing systems, the Internet of Things (IoT), NextG Wireless, and social learning networks. His research integrates foundational techniques including convex and non-convex optimization, machine learning, and signal processing to address challenges in networked intelligent systems. The ION lab under his leadership develops both theoretical frameworks and practical implementations for next-generation networking solutions, with strong industry collaborations including Qualcomm, Nokia, Intel, Cisco, Dell, and Ericsson. Recent publications reveal a strong trend toward federated learning, decentralized algorithms, and edge intelligence, with significant contributions to model partitioning, communication-efficient learning, and robust network architectures. His work increasingly bridges traditional communication theory with modern machine learning techniques to solve emerging challenges in distributed networked systems. NSF CAREER Award ONR Young Investigator Program (YIP) Award DARPA Young Faculty Award (YFA) AFOSR Young Investigator Program (YIP) Award Intel Rising Star Faculty Award (RSA) Dr. Brinton teaches several courses including ECE 647: Performance Modeling of Computer Communication Networks, ECE 301: Signals and Systems, and ECE 547: Introduction to Computer Communication Networks. He has co-authored the book 'The Power of Networks: Six Principles That Connect Our Lives' and taught three Massive Open Online Courses (MOOCs) with over 400,000 cumulative students. While not currently actively recruiting students, he remains open to connecting with highly motivated individuals. Dr. Brinton leads the ION (Intelligent Optimization and Networking) research lab, which focuses on creating theoretical foundations and practical implementations for next-generation networked systems. The lab has recently published significant work on 6G taxonomy in collaboration with major industry partners and continues to push boundaries in distributed learning and network optimization.

Matthew J. Mayhewمشاهده پروفایل

استاد

• Higher Education
• Student Affairs
• Impact of college on student learning
• +۷ مورد دیگر

Matthew J. Mayhew serves as the William Ray and Marie Adamson Flesher Professor of Educational Administration within the Department of Educational Studies at The Ohio State University's College of Education and Human Ecology. He received his BA from Wheaton College, Illinois; his master's degree from Brandeis University; and his PhD from the University of Michigan in 2004. Dr. Mayhew maintains an active research agenda examining how collegiate conditions, educational practices, and student experiences influence learning and democratic outcomes. Dr. Mayhew's research interests span higher education's impact on moral reasoning, pluralism, productive exchange across worldview differences, and innovation capacity. His work particularly focuses on religious, spiritual, and secular diversity in higher education settings, examining how these dimensions shape campus climate and student development. He has developed significant assessment tools such as the Interfaith, Spiritual, Religious, and Secular Campus Climate Index (INSPIRES) to measure institutional commitment to diverse worldview identities. His recent publications reveal a strong emphasis on innovation capacity development in students, religious pluralism in college settings, and the impact of campus environments on diverse student populations. The research demonstrates increasingly interdisciplinary approaches, with collaborations spanning engineering education, sustainability initiatives, and international comparisons of educational systems. American Educational Research Association Religion and Education SIG Emerging Scholar Award Diamond honoree by ACPA-College Student Educators International Dr. Mayhew has successfully secured over $20 million in research funding from prestigious sources including the National Science Foundation, the Ewing Marion Kauffman Foundation, the Andrew C. Mellon Foundation, the Templeton Religion Trust, and the Arthur Vining Davis Foundations. His major research projects include EDiCTS (Enhancing Diversity in Career and Technical STEM), EDiCTS 2.0, EmPOWERment, and InFORM (Including Faculty on Religious, Spiritual, & Secular Mattering). He serves as editor of the Digest of Recent Research and has held editorial board positions for the Journal of Higher Education, Research in Higher Education, and the Journal of College Student Development.

Zachary Kincaidمشاهده پروفایل

دانشیار

• Program Analysis
• Formal Methods
• Programming Languages
• +۴ مورد دیگر

Zachary Kincaid is an Associate Professor in the Department of Computer Science at Princeton University's School of Engineering and Applied Science. His research focuses on program analysis, logic, and programming languages, with an emphasis on making program analysis compositional and robust. He received his PhD from the University of Toronto under the supervision of Azadeh Farzan. His work has been implemented in the Duet program analyzer, and he has an Erdős number of 3. Dr. Kincaid's research interests include: Compositional program analysis techniques Algebraic approaches to program analysis Termination analysis and ranking function synthesis Verification of concurrent and parallel programs Automated reasoning and decision procedures Analysis of numerical programs and loops His recent publications show a strong focus on developing novel techniques for program analysis that bridge theoretical computer science with practical verification tools, particularly in nonlinear analysis, quantified reasoning, and compositional verification. Dr. Kincaid has received research support from ONR grant N00014-19-1-2318 for his work on robust program analysis. He has advised graduate students including: Current: Jake Silverman, Nicolas Koh, Nikhil Pimpalkhare Graduated: Shaowei Zhu (PhD 2024, Researcher at Amazon), Charlie Murphy (PhD 2023, Postdoc at University of Wisconsin–Madison) Dr. Kincaid teaches courses including: COS 320 – Compiling Techniques (Spring 2024, 2022, 2020, 2019) COS 516 / ELE 516 – Automated Reasoning about Software (Fall 2025, 2022, 2018) COS 217 – Introduction to Programming Systems (Fall 2024) COS IW – Practical Solutions to Intractable Problems (Fall 2023, Spring 2023, 2018, 2017) COS IW – Little Languages (Spring 2018) COS 597D – Reasoning about concurrent systems (Fall 2016)

Nezihe Merve Gürelمشاهده پروفایل

استادیار

• Machine Learning
• Computer Science
• Pattern Recognition
• +۴ مورد دیگر

Nezihe Merve Gürel is an Assistant Professor in Computer Science at Delft University of Technology (TU Delft), affiliated with the Pattern Recognition & Bioinformatics Group within the Intelligent Systems Department of the Faculty of Electrical Engineering, Mathematics and Computer Science. Her research focuses on developing robust, reliable, and efficient machine learning methods with enhanced reasoning capabilities, bridging theoretical rigor and practical applications. She emphasizes data-centric approaches to improve ML systems. Education: PhD in Computer Science from ETH Zurich, MSc from EPFL (Switzerland). Research Interests: ML robustness, reliability, reasoning, data-centric ML, federated learning, and explainable AI. Her recent work includes certified robustness for retrieval-augmented models and time-efficient learning algorithms. She has contributed to the Journal of Data-centric Machine Learning Research as an executive editor and served as a reviewer for top ML conferences (NeurIPS, ICML, ICLR). She previously held roles at IBM Research, Stanford University's Human-Centered AI Lab, and Westlake Institute for Advanced Study. Her awards include the Generation Google Scholarship and Cisco Research Funding . Scientific Awards : Generation Google Scholarship (2021) Cisco Research Center University Funding Labs & Teams : She leads research in the Pattern Recognition Laboratory at TU Delft and collaborates with international institutions like Stanford and Westlake Institute for Advanced Study.

Dawn Martin-Hillمشاهده پروفایل

استاد

• Indigenous Studies
• Cultural Anthropology
• Traditional Ecological Knowledge
• +۷ مورد دیگر

Dawn Martin-Hill , Professor Emeritus in Indigenous Studies at McMaster University , is Canada’s first Indigenous cultural anthropologist and the founder of McMaster’s Indigenous Studies Program (1992). She also holds the role of Academic Co-Chair of the Indigenous Education Council and has served as Director of Indigenous Studies since 1998. A Mohawk scholar residing at Six Nations of the Grand River, she integrates Indigenous knowledge systems with Western science to address critical issues of water security, health, and sovereignty. Education & Training: PhD, Cultural Anthropology Research Interests: Dr. Martin-Hill’s work centres on traditional ecological knowledge (TEK) , community-driven water security , and Indigenous methodologies . Her flagship program Ohneganos co-creates bilingual tools—apps, VR, water sensors, Indigenous mapping, films, and podcasts—to empower First Nations in monitoring and managing water resources. She explores intersections of climate change, maternal health, mental health, and Indigenous governance . Research Impact: Spanning hydrology, medical anthropology, and digital health, her recent publications address urgent issues such as water insecurity’s impact on maternal mental health , climate-driven hydrological extremes , and digital mental-health tools for Indigenous youth . Collectively, her work advances decolonizing methodologies and supports United Nations Sustainable Development Goals. Scientific Awards & Honours: Inaugural Fulbright Indigenous Canada–U.S. Scholar Award Inaugural Chair, CIHR-IPH Secretariat on Traditional Medicine in Health Research Outstanding Teaching Award, Aboriginal Consortium 2022 University of Oklahoma International Water Prize Oklahoma Universities Water Technologies Award Princeton Book Award for forthcoming Ohneganos volume Funding & Training: Principal Investigator on four Global Water Futures grants that have supported over 30 graduate students and nine Indigenous Studies undergraduates , plus 45 secondary First Nations students receiving McMaster certificates. She has served as co-investigator on CIHR-IPH ARHNets Center funding 80+ First Nations, Métis, and Inuit graduate students . Leadership & Service: Member of the UNESCO Hydrology Committee for Canada , board member of CIHR Institute of Indigenous Peoples’ Health and CIHR Anti-Racism Committee , former Chair of the CIHR College of Reviewers. She spearheaded the McPherson Chair in Indigenous Studies and secured multiple Indigenous student scholarships and bursaries.

Jelena Mirkovicمشاهده پروفایل

عضو هیئت علمی

• Network Security
• Denial-of-Service Attacks
• Vulnerability Scanning
• +۶ مورد دیگر

Jelena Mirkovic serves as Principal Scientist at USC Information Sciences Institute (USC/ISI) and Research Associate Professor at the University of Southern California's Thomas Lord Department of Computer Science. She has held faculty positions at USC since 2010, progressing from Research Assistant Professor to her current role as Research Associate Professor since 2017, while also serving as Project Leader at USC/ISI. Her educational background includes: PhD in Computer Science from UCLA (2003) MS in Computer Science from UCLA (2000) B.Sc. in Computer Science from University of Belgrade, Serbia (1998) Mirkovic's research spans network security, human-centered attacks, and cybersecurity experimentation infrastructure. Her work focuses on critical security challenges including botnets, denial-of-service attacks, IP spoofing, vulnerability scanning, and user-centric privacy. She has pioneered methodologies for security experiments and led major infrastructure projects including the DETER testbed and SPHERE (Security and Privacy Heterogeneous Environment for Reproducible Experimentation). Analysis of her recent publications reveals consistent innovation across multiple security domains. Her work demonstrates strong technical depth in DDoS defense systems (particularly DNS protection), binary vulnerability analysis, privacy-preserving systems, and security experimentation infrastructure. A notable trend is her focus on bridging theoretical security concepts with practical implementation through large-scale testbeds and real-world data analysis. Her significant scientific achievements include: IEEE Senior Member distinction Best paper award at IEEE COMSNETS 2023 for DNS DDoS defense research Mirkovic has secured substantial research funding as Principal Investigator or Co-PI on numerous grants from NSF, DHS, and other agencies. Current major projects include SPHERE (Security and Privacy Heterogeneous Environment for Reproducible Experimentation), DISCERN (Datasets to Illuminate Suspicious Computations), and modernizing DeterLab education infrastructure. She has successfully led multiple REU sites focused on cybersecurity education and workforce development. She directs the STEEL (Security Research Lab) at USC/ISI, which develops innovative security solutions through interdisciplinary research in network security, human factors in security, and cybersecurity experimentation infrastructure. The lab emphasizes practical implementations that address real-world security challenges while advancing theoretical understanding of security systems.

S. James Anayaمشاهده پروفایل

استاد

• International Human Rights
• Indigenous Peoples' Rights
• International Law
• +۲ مورد دیگر

S. James Anaya serves as University Distinguished Professor and Nicholas Doman Professor of International Law at the University of Colorado Law School. Previously, he held faculty positions at the University of Arizona (1999-2016) and the University of Iowa (1988-1999), and has been a visiting professor at Harvard Law School, the University of Toronto, and the University of Tulsa. His most prominent role was as United Nations Special Rapporteur on the Rights of Indigenous Peoples from May 2008 to June 2014, during which he conducted country visits to numerous nations including Canada, Panama, Peru, and Brazil to monitor indigenous rights situations. Anaya earned his JD from Harvard Law School and his BA from the University of New Mexico. Before entering academia, he practiced law in Albuquerque, New Mexico, representing Native American peoples and other minority groups, work for which he was recognized by Barrister magazine as one of "20 young lawyers who make a difference." Professor Anaya's research focuses on the intersection of international human rights law and indigenous peoples' rights, with particular emphasis on land rights, self-determination, and cultural preservation. His scholarship examines how international legal frameworks can be leveraged to advance indigenous rights, especially regarding territorial claims and resource extraction. He has extensively analyzed the development of customary international law concerning indigenous rights and the relationship between domestic legal systems and international human rights standards as they apply to indigenous communities. Analysis of Anaya's recent publications reveals a consistent focus on practical implementation of indigenous rights through UN mechanisms, national legal systems, and international tribunals. His work shows particular attention to hydroelectric and mining projects affecting indigenous territories, the right to consultation, and the evolving standards for indigenous land rights recognition. The thematic progression demonstrates increasing emphasis on concrete implementation mechanisms rather than purely theoretical frameworks. United Nations Special Rapporteur on the Rights of Indigenous Peoples (2008-2014) Lead counsel in landmark Awas Tingni v. Nicaragua case before the Inter-American Court of Human Rights Participant in drafting the United Nations Declaration on the Rights of Indigenous Peoples As UN Special Rapporteur, Anaya actively engaged with indigenous communities worldwide, addressing situations of alleged human rights violations and promoting practical measures to secure indigenous peoples' rights. His work involved frequent travel to meet with government officials and visit indigenous communities across multiple continents. He represented indigenous groups from North and Central America in landmark cases before domestic and international tribunals, including the United States Supreme Court and the Inter-American Court of Human Rights. His advocacy extended to high-profile cases such as the Washington Redskins name controversy and the Barro Blanco hydroelectric project in Panama.

John G. Lynch, Jr.مشاهده پروفایل

استاد

• Consumer Decision-Making
• Consumer Financial Decision-Making
• Research Methodology
• +۲ مورد دیگر

John G. Lynch, Jr. is University of Colorado Distinguished Professor at the Leeds School of Business, University of Colorado-Boulder. He also serves as Inaugural Director of the Initiative for Global Business Impact and is affiliated with the Center for Research on Consumer Financial Decision Making. Previously, from 2022-2024, he served as Executive Director of the Marketing Science Institute, a nonprofit think tank bridging industry and academia. He has held prestigious faculty positions at University of Florida (1979-1996) as Graduate Research Professor and at Duke University's Fuqua School of Business (1996-2009) as Roy J. Bostock Professor of Marketing. Lynch received his BA in economics, MA in psychology, and PhD in psychology from the University of Illinois at Urbana-Champaign. His academic journey spans over four decades with significant contributions to consumer behavior research. He is the founding Director of the Center for Research on Consumer Financial Decision Making and founding co-chair of the Boulder Summer Conference on Consumer Financial Decision Making. He served on the Academic Research Council of the US Consumer Financial Protection Bureau from 2017-2020. Lynch's research focuses on the cognitive psychology of consumer decision-making, particularly consumer financial decision-making since joining CU in 2009. His work spans consumer financial decision making, financial knowledge and well-being, planning for money and time, and research methodology validity. His publications reveal a strong emphasis on financial education effectiveness, couples' financial responsibility division, retirement savings behavior, and methodological rigor in marketing research. The recent publications show increasing focus on financial education, privacy regulation, statistical methodology, and the intersection of financial and physical health. Lynch has received numerous prestigious awards including the 2025 American Marketing Association-Irwin-McGraw Hill Award for Distinguished Marketing Educator of the Year (the highest honor in academic marketing), Paul D. Converse Award for Outstanding Contributions to Marketing Science, and the Society for Consumer Psychology's Distinguished Scientific Achievement Award. He is a Fellow of the American Marketing Association, Association for Consumer Research, and American Psychological Association/Society for Consumer Psychology - one of only six scholars worldwide to achieve this triple distinction. As an educator, Lynch has taught undergraduate Principles of Marketing, Marketing Research, and Senior Seminar in Marketing at CU. He has also taught MBA electives on market intelligence and PhD courses on marketing strategy and experimental design. He has supervised or co-supervised 100 PhD dissertations, with former students now on faculties of leading business schools worldwide. His teaching excellence has been recognized with multiple awards including Leeds MBA Elective Teaching Excellence Awards in 2011 and 2013.

Anne-Sophie Chauvinمشاهده پروفایل

مدرس ارشد

• Supramolecular Chemistry
• Inorganic Chemistry
• Lanthanide Chemistry
• +۷ مورد دیگر

Anne-Sophie Chauvin is a Senior Lecturer and Researcher at École Polytechnique Fédérale de Lausanne (EPFL), School of Basic Sciences, within the Institute of Chemical Sciences and Engineering and the Supramolecular Chemistry Laboratory. She actively engages in supramolecular and inorganic chemistry, focusing on f-element (lanthanides and actinides) coordination polymers and luminescent bioprobes for biological and technological applications, including invisible inks and dye-sensitized solar cells. PhD in Bioinorganic Chemistry from University Paris V-René Descartes (thesis on Nitrile Hydratase mimetics) Postdoctoral work at University of Geneva on chiral alcohol configuration analysis Habilitation à Diriger des Recherches (HDR) from University René Descartes (2006) Her research spans Lanthanide and Actinide Chemistry , Luminescence , Coordination Polymers , Metallacages , and Photovoltaic Materials . Recent publications emphasize catalytic spiro stereocenter formation, actinide coordination polymers, and photoredox-enabled biomolecule functionalization. She has supervised PhD students including Andrei Andreichenko , Julien Andrès , Steve Comby , and Aurélien Willauer . Recognitions include Fellowship of the Royal Society of Chemistry (FRSC) and membership in the Swiss Chemical Society (SCS). Current roles include teaching General and Analytical Chemistry to first-year Pharmacy and Biology students at the University of Lausanne (UNIL), overseeing practical sessions, and serving on the EPFL School of Basic Sciences Faculty Council.

Brett Hayesمشاهده پروفایل

استاد

• Reasoning
• Concept Learning
• Memory
• +۸ مورد دیگر

Professor Brett Hayes is a distinguished cognitive psychologist at the University of New South Wales, serving in the School of Psychology. He is the founding Director of the Sydney Thinking and Reasoning (STAR) Laboratory, which he has led for over 15 years, securing more than $4 million in competitive research funding. Professor Hayes has previously held the position of Head of the School of Psychology and served as a member of the Australian Research Council (ARC) College of Experts. His research expertise spans reasoning, concept learning, memory, and developmental changes in these cognitive processes. Professor Hayes employs both experimental investigation and computational modeling in his work, with a particular focus on applying fundamental cognitive research to practical problems in forensic and clinical decision-making, early childhood education, and climate change science communication. His research has significant interdisciplinary applications across psychology, education, and environmental science. Professor Hayes has published extensively in top cognitive science journals, with his most recent work focusing on inductive reasoning, sampling assumptions, learning traps, and consensus perception. His research demonstrates consistent innovation in understanding how people process information, make decisions under uncertainty, and develop reasoning abilities across the lifespan. His scientific contributions include numerous journal articles, book chapters, and co-authored textbooks on developmental psychology. Professor Hayes has also contributed to teaching through courses such as PSYC3341 Developmental Psychology (which he chairs), PSYC3221 Cognitive Science, and PSYC2061 Developmental and Social Psychology. Professor Hayes maintains an active research program with ongoing collaborations across multiple institutions, as evidenced by his numerous co-authored publications. His laboratory continues to advance our understanding of human cognition through rigorous experimental work and theoretical development.

• Architectural History
• Disability Studies in Architecture
• Deafness and Spatial Design
• +۴ مورد دیگر

Nina Vollenbroker serves as Associate Professor of Architecture and Director of the Architectural Design PhD programme at University College London's Bartlett School of Architecture. A registered architect in the UK (ARB) and Germany (Architektenkammer NRW), she also acts as editor for Architectural Research Quarterly since 2020 and serves on the Society of Architectural Historians’ advisory committee on accessibility. Her educational background includes a PhD in Architectural History from UCL, along with multiple UCL degrees: Master of Architecture (2005), Certificate (2004), Master of Science (2002), Diploma (2001), and Bachelor of Architecture from Oxford Brookes University (1997). Vollenbroker's research centers on the intersection of deafness, disability, and architectural design, challenging normative spatial paradigms through historical and contemporary lenses. Her current Paul Mellon Centre-funded project "Hide and Speak" examines the first purpose-built deaf schools in 19th-century Britain, revealing how architecture actively shaped cultural understandings of deafness. She extends this work through "Deafening Architectural Modernism," which re-evaluates Adolf Loos's contributions through the lens of his hearing loss, demonstrating how sensory experience fundamentally informs spatial design. Her broader research encompasses migration studies, gendered domestic spaces, and critical examinations of architectural exclusion. Her recent publications span architectural history, disability studies, and material culture, with significant contributions to edited volumes on deafness in architecture (University of Illinois Press, 2025), mobile home-making (Brill, 2025), and the American West (Routledge, 2025). These works consistently demonstrate her methodological approach of centering marginalized perspectives within architectural discourse. Wilhelm Award from Pioneer America Society for outstanding research in material cultures studies Paul Mellon Centre Mid-Career Fellowship Royal Institute of British Architects Research Award British Academy Research Fund Award Vollenbroker supervises doctoral students in architectural design while securing major research funding from bodies including the Arts and Humanities Research Council, British Academy, and Royal Institute of British Architects. Her international collaborations include work with the Lebanese NGO Biladi on migration studies and knowledge-exchange programs funded by The Council for British Research in the Levant. She regularly convenes major conference sessions, including at the Society of Architectural Historians and Architectural Humanities Research Association conferences, and presents at institutions worldwide including Columbia University, Yale University, and Heidelberg University. Her research group actively engages with disability advocacy organizations and architectural practitioners to translate historical insights into contemporary inclusive design practices, particularly through her editorial work on special journal issues addressing disability and architecture.

Dominik Wermkeمشاهده پروفایل

استادیار

• Computer Security
• Human-Centered Security
• Software Supply Chain Security
• +۳ مورد دیگر

Dominik Wermke serves as an Assistant Professor in the Department of Computer Science at North Carolina State University. He is affiliated with multiple research entities including the Secure Computing Institute (SCI), the Wolfpack Security and Privacy Research (WSPR) Lab, and the Secure Software Supply Chain Center (S3C2). His educational background includes: Ph.D. in Computer Science from Leibniz University Hannover (2023) M.Sc. from Saarland University (2016) B.Sc. from Saarland University (2015) Wermke's research focuses on computer security with emphasis on human-centered security, examining how security mechanisms align with software professionals' and end users' needs, practices, and limitations. His work employs mixed-methods approaches including interviews, user studies, surveys, and large-scale ecosystem analyses to identify behavioral patterns and systemic risks in secure software development. His expertise spans cybersecurity, human-computer interaction, and user experience with particular focus on software supply chain security and open source ecosystems. His publication record shows a clear trend toward addressing software supply chain security challenges through empirical studies of developer practices, trust mechanisms in open source communities, and reproducible builds. Recent work increasingly examines the human factors in security implementations, with publications appearing in top venues including IEEE S&P, USENIX Security, ACM CCS, and NDSS. His notable recognition includes: Distinguished Paper Award at the 43rd IEEE Symposium on Security and Privacy (2022) Wermke actively mentors students interested in security research, with his lab focusing on empirical security studies that bridge technical and human aspects of software security. His research has been supported through institutional affiliations with NC State's security research centers which provide infrastructure for large-scale security ecosystem analyses. He maintains active collaborations with researchers at CISPA Helmholtz Center for Information Security and other institutions, evidenced by multi-institutional publications. His current research agenda continues to explore security challenges in modern software development practices with particular attention to supply chain vulnerabilities and trust mechanisms in distributed development environments.

Ryan P. Huangمشاهده پروفایل

دانشیار

• Computer Systems
• Operating Systems
• Distributed Systems
• +۷ مورد دیگر

Ryan P. Huang is an Associate Professor in the Computer Science & Engineering department at the University of Michigan, College of Engineering, where he leads the Order Lab. Previously, he was an Assistant Professor at Johns Hopkins CS department from 2017 to 2022. His research focuses on computer systems, particularly operating systems and distributed systems, with emphasis on reliability, efficiency, and defensibility across cloud data centers and mobile devices. Dr. Huang's research interests center on pushing the boundaries of cloud systems availability and observability. His work addresses critical challenges such as gray failures and partial failures in distributed systems, developing principled techniques for failure detection and localization. His research spans multiple thrusts including Panorama for enhanced observability, Watchdog for runtime checking, OmegaGen for partial failure localization, and Narya for predictive failure mitigation. He also investigates energy-efficient mobile systems and system misconfiguration prevention. His recent publications demonstrate a strong trend toward addressing silent failures in distributed systems, with multiple papers accepted to top-tier conferences including SOSP and OSDI in 2025. His work bridges theoretical principles with practical system implementations, focusing on real-world challenges in cloud infrastructure and distributed computing environments. NSF CAREER award recipient Multiple Best Paper Awards (OmegaGen, Argus, LeaseOS) CRA Outstanding Undergraduate Researcher Award honorable mentions for advisees Dennis Ritchie doctoral dissertation award honorable mention Dr. Huang actively mentors PhD students including Yuzhuo Jing, Wanning He, Yuxuan Jiang, and others. His lab has produced graduates who have gone on to faculty positions at institutions like University of Virginia and Boston University. He serves on program committees for major systems conferences including SOSP, OSDI, and NSDI, contributing significantly to the academic community. The Order Lab maintains active research collaborations and regularly publishes in top-tier venues, with multiple papers accepted to SOSP and OSDI in 2025.

Nicola Nicoliciمشاهده پروفایل

استاد

• Digital Integrated Circuit Design
• Hardware Testing
• Post-Silicon Validation
• +۷ مورد دیگر

Nicola Nicolici is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on methods and algorithms for the design of digital integrated circuits and systems, with significant contributions in manufacturing test, post-silicon validation and debug. His work has expanded to include embedded systems, low-energy computing, and custom hardware-accelerated computing systems. Professor Nicolici's research interests span multiple areas of digital system design and validation. His early work focused on manufacturing test methodologies and power-aware testing strategies for integrated circuits. More recently, he has made significant contributions to post-silicon validation techniques, including constrained-random stimuli generation, trace signal selection, and bit-flip detection. His research has evolved to address emerging challenges in embedded computing systems, low-energy design, and specialized hardware acceleration for various applications including deep neural networks and signal processing. His recent publications reveal a strong trend toward hardware acceleration for specialized computing tasks. The research spans matrix multiplication algorithms (Strassen and Karatsuba), memory system optimization (DDR5 calibration), FPGA-based radar processing, and neural network acceleration. His work consistently bridges theoretical algorithm development with practical hardware implementation considerations, particularly focusing on precision analysis, fault tolerance, and energy efficiency. The research demonstrates a clear progression from traditional digital circuit testing to more complex system-level validation and acceleration techniques. Professor Nicolici has been actively involved in teaching courses related to system-on-chip design and test, digital systems, and embedded systems. His teaching portfolio includes advanced courses such as System-on-Chip (SOC) Design and Test and Digital Systems Design , reflecting his expertise in the field. While specific grant information isn't detailed in the provided text, his extensive publication record suggests ongoing research funding support. His research has contributed significantly to the fields of digital circuit testing, post-silicon validation, and hardware acceleration. The work has practical applications in semiconductor manufacturing, embedded systems design, and specialized computing architectures. His recent focus on neural network acceleration and memory system optimization reflects the evolving landscape of computer architecture research.

Hassan Z. Ashtianiمشاهده پروفایل

دانشیار

• Machine Learning Theory
• Privacy-Preserving Algorithms
• Gaussian Mixture Models
• +۵ مورد دیگر

Hassan Z. Ashtiani is an Associate Professor in the Department of Computing and Software within the Faculty of Engineering at McMaster University. His academic profile shows consistent engagement in both teaching and research activities, with evidence of active participation in major machine learning conferences and journals through 2025. Dr. Ashtiani's research focuses on the theoretical foundations of machine learning, with particular expertise in privacy-preserving algorithms, Gaussian mixture models, and adversarial robustness. His work bridges statistical learning theory with practical algorithm design, often addressing fundamental questions about sample complexity and computational efficiency in learning systems. A significant portion of his recent work explores the intersection of differential privacy with statistical learning, developing methods for private density estimation and distribution learning. Analysis of his publication record reveals a strong trend toward increasingly sophisticated theoretical frameworks for private and robust learning. His work consistently appears in top-tier venues including NeurIPS, ICML, COLT, and ALT, with recent contributions extending into agnostic private density estimation and robust learning with tolerance. The research demonstrates progression from foundational work on nearest neighbor search and clustering algorithms toward more complex problems in private learning of high-dimensional distributions. Dr. Ashtiani teaches across multiple levels of computer science education, including undergraduate courses in Automata and Computability (COMPSCI 2AC3) and Principles of Programming (COMPSCI 2S03), as well as graduate-level courses such as Fundamentals of Machine Learning (COMPSCI 4ML3) and Theoretical Foundations of Unsupervised Learning (CAS 775). His teaching portfolio shows consistent involvement in machine learning education since at least 2019, with evidence of teaching multiple sections each academic year. His scholarly impact is reflected in mentions across 3 news outlets, reference in 1 policy source, engagement from 7 X users, and 90 readers on Mendeley, suggesting growing recognition of his contributions to theoretical machine learning.