جست‌وجوی استاد و پژوهشگر

Paula Brancoمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Data Science
• +۸ مورد دیگر

Paula Branco is an Assistant Professor at the School of Electrical Engineering and Computer Science, University of Ottawa (since 2020). Previously, she was a PostDoctoral Fellow at Dalhousie University's Faculty of Computer Science (2019). She holds a PhD in Computer Science from the University of Porto, alongside a MSc in Data Mining and a Mathematics degree. She is an external researcher at INESC TEC's LIAAD laboratory. Her research focuses on Machine Learning, particularly utility-based learning and imbalanced domains, with applications in cybersecurity, healthcare, and environmental monitoring. Key areas include anomaly detection, fraud detection, rare event prediction, and spatio-temporal data analysis. Recent work emphasizes resampling techniques for imbalanced regression (e.g., SMOGN, ImbalancedLearningRegression Python package), evaluation metrics for imbalanced domains, and cybersecurity applications like intrusion detection and malware analysis. She has supervised seven graduate students and contributed to open-source projects like UBL (R package) and ImbalanceMetrics. Her teaching includes courses on databases and AI for cybersecurity. She actively publishes in top venues and collaborates on tools like SMOGN-LIDTA17 and NeighborhoodBiasResamplingRegression.

Young Leeمشاهده پروفایل

مدرس ارشد

• Edge Computing
• Blockchain Technology
• Fog Computing
• +۳ مورد دیگر

Young Lee is a Senior Lecturer in Computing at Macquarie University, affiliated with the School of Computing and three research centers: Data Horizons Research Centre, Future Communications Research Centre, and Smart Green Cities Research Centre. His research focuses on edge computing, blockchain technology, fog computing, and resource scheduling in distributed systems, with a strong emphasis on applications in IoT, healthcare, and sustainability. He has led or contributed to over 150 research outputs since 2005, including influential works on edge-based video analytics, blockchain frameworks, and cloud-edge resource optimization. Dr. Lee's projects include 'Extreme-Scale Computing for Big Data Analytics' (2016–present) and 'Synergising the Power of the Cloud with the Power of the Crowd' (2016–present), demonstrating expertise in scalable computing and cloud-crowd integration. His work bridges theoretical advancements in scheduling algorithms with practical implementations in energy-efficient data centers and mobile edge environments. Research interests span edge computing architectures, blockchain oracles, and fog caching strategies, with recent contributions to carbon-conscious travel systems and malware detection frameworks. His interdisciplinary approach addresses challenges in resource allocation, network security, and distributed system efficiency.

• Statistical Learning
• Game Theory
• Decision-Making Algorithms
• +۶ مورد دیگر

David Leslie is a Professor of Statistics and Director of Engagement in the Department of Mathematics and Statistics at Lancaster University. He specializes in statistical learning, decision-making algorithms, and game theory, with applications in real-time website optimization through bandit algorithms. Previously, he served as a Senior Lecturer at the University of Bristol and co-directed a cross-disciplinary decision-making research group. He has led significant projects such as the EPSRC/NERC-funded DSNE initiative and contributed to strategic partnerships like ALADDIN (with BAE Systems and EPSRC) and NG-CDI (with BT). His work emphasizes bridging theoretical research with practical industry solutions. Education details are not explicitly provided, but his career trajectory includes prior roles at prestigious institutions. Research interests focus on statistical methodologies, AI-driven decision systems, and environmental data science. He advises multiple PhD students in areas like Statistical AI and Extreme Value Theory. Notable projects include AI Hub, NABS+, and ProbAI, reflecting his engagement with cutting-edge technologies and interdisciplinary collaboration. David actively participates in research groups such as STOR-i Centre for Doctoral Training and the Statistical Artificial Intelligence group. His contact information includes an office at B73 in the PSC building and a direct email address. No specific scientific awards are listed, but his extensive project leadership and contributions to foundational AI research highlight his academic impact.

Alistair Barrosمشاهده پروفایل

استاد

• Service Computing
• Enterprise Systems
• Business Process Management
• +۵ مورد دیگر

Professor Alistair Barros is Head of School and Academic Program Leader of Service Science at QUT’s School of Information Systems (Faculty of Science). He holds a PhD from the University of Queensland, with extensive ICT experience in academia and industry (e.g., Global Research Leader at SAP AG). His research focuses on enterprise systems design, optimization, and interoperability in cyber-physical environments leveraging cloud, IoT, and blockchain technologies. Key areas include service computing methods (microservices, business process management), model-based systems re-engineering, and distributed service coordination. Education: PhD in Information Systems from the University of Queensland. Research Interests: Enterprise systems modernization, service-oriented architectures, Industry 4.0 applications, and digital transformation in sectors like construction, manufacturing, and supply chains. He has published 180+ peer-reviewed articles (including 6 edited books) and holds 17 US patents. Notable contributions include the BPMN 2.0 standard co-authorship and the 'Workflow Patterns' paper (most cited in BPM). Awards: Test of Time Award (BPM 2015), Wharton Education Award (TeachConnect platform), and impactful industry collaborations (e.g., SAP NetWeaver, Federal Government WPIT project). Grants & Projects: Led ARC, EU FP6, and industry-funded projects. Current focus includes re-engineering legacy systems for microservices, EV charging network design, and adversarial ML in cybersecurity. Labs/Teams: Active in QUT’s Centre for Data Science, focusing on service science and cyber-physical systems integration.

Garth V. Crosbyمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Industrial Internet of Things (IIoT)
• Cyber-physical Systems Security
• +۵ مورد دیگر

Garth V. Crosby is an Associate Professor at Texas A&M University's Department of Engineering Technology and Industrial Distribution within the College of Engineering. He is also affiliated with the Multidisciplinary Engineering program. His research focuses on IoT and IIoT security, cyber-physical systems, and STEM education innovation. Crosby holds a Ph.D. in Electrical Engineering from Florida International University (2007), an M.S. in Computer Engineering, and a B.S. in Electronics (Applied Physics) from the University of the West Indies. His work spans cybersecurity frameworks for emerging technologies, including blockchain-based federated learning, post-quantum cryptography, and IoT threat mitigation. He has contributed to educational advancements through online lab design and faculty efficacy studies in hybrid learning environments. Crosby's recent publications emphasize securing robotic IoT systems, supply chain blockchain applications, and ransomware evasion techniques using generative AI. His research portfolio includes over 40 peer-reviewed articles in journals like IEEE Transactions and conferences such as ASEE and FiCloud. Key themes include volunteer cloud reliability models (ProTrust), edge computing security, and educational technology evaluation. Crosby's interdisciplinary approach bridges engineering systems with pedagogical innovation, addressing both technical and human factors in modern technological challenges.

Yuri Calilمشاهده پروفایل

استادیار

• Agricultural Economics
• Financial Economics
• Applied Econometrics
• +۴ مورد دیگر

Yuri Calil is an Assistant Professor & Extension Specialist at Texas A&M University’s College of Agriculture & Life Sciences, Department of Agricultural Economics. His work focuses on agribusiness challenges, policy analysis, and applied economic research in agriculture. Previously, he held roles as Assistant Professor at Federal University of Itajubá (Brazil), consultant at PwC, and visiting scholar at institutions like the University of Chicago and MIT. Dr. Calil earned a B.S. in Agribusiness from Federal University of Viçosa (Brazil), an M.S. in Applied Economics from University of São Paulo, and a Ph.D. in Managerial Economics and Agribusiness from Texas A&M. He completed a MicroMaster at MIT and attended courses at IMPA and Babson College. His research interests span agricultural economics, financial economics, applied econometrics, and Brazilian agribusiness. Key areas include digital twin technology for farm management, crop-livestock integration systems, and policy impacts on greenhouse gas emissions. He leads Extension programs in the Coastal Bend region, emphasizing data-driven solutions for agribusiness. Notable contributions include studies on UAV-based irrigation efficiency, cattle price modeling under arid conditions, and soybean revenue insurance strategies. His work bridges academic research with practical applications for sustainable agricultural practices and policy development.

Gaurav Sharmaمشاهده پروفایل

استاد

• Data Analytics
• Cyber Physical Systems
• Signal and Image Processing
• +۳ مورد دیگر

Gaurav Sharma is a Professor at the University of Rochester, holding joint appointments in the Department of Electrical and Computer Engineering, Computer Science, and Biostatistics and Computational Biology. He is also a Distinguished Researcher at the Goergen Institute for Data Science and Artificial Intelligence. His research focuses on Data Analytics, Cyber Physical Systems, Signal and Image Processing, Computer Vision, Media Security, and Communications. Previously, he served as Director of the Center for Emerging and Innovative Sciences (2008-2010) and held roles at Xerox Research (1996-2003). He earned a PhD in Electrical and Computer Engineering from North Carolina State University (1996), alongside degrees from Indian institutions including the Indian Institute of Science and IIT Roorkee. Education: PhD (NCSU), M.S. Applied Mathematics (NCSU), M.S. Electrical Communication Engineering (IISc), B.Eng (IIT Roorkee) Awards: Fellow of IEEE, SPIE, and IS&T; Elected Sigma Xi member Editorial Roles: Editor-in-Chief of IEEE Transactions on Image Processing (2018-2020) and Journal of Electronic Imaging (2011-2015) Leadership: Chair of IEEE Signal Processing Society committees and SPIE/EI conferences His research spans interdisciplinary areas like medical imaging analytics, cybersecurity in IoT systems, and computational methods for biomedical applications. Recent work includes studies on cardiac mortality patterns, viral protein inhibition, and federated learning for privacy-sensitive healthcare tasks. Dr. Sharma’s contributions to academic governance include roles on IEEE publication committees and strategic planning boards, reflecting his commitment to advancing technical standards and open science practices.

Ruth Breuمشاهده پروفایل

استاد

• Quality Engineering
• Model Engineering
• Security Engineering
• +۱۲ مورد دیگر

Ruth Breu is a Full Professor and Dean of the Faculty of Mathematics, Computer Science and Physics at the Universität Innsbruck, where she also leads the Quality Engineering research group. She has been a key figure in the Department of Computer Science since 2002 and served as its Head from 2013 to 2024. Her academic journey began with a PhD summa cum laude from the University of Passau in 1991, followed by a habilitation at the Technical University of Munich in 1999. Her research interests include: Quality Engineering Model and Security Engineering Requirements and Software Development Processes Enterprise Architecture Management Threat Intelligence and Digital Twins Her recent publications reflect a strong focus on model-based systems, automated programming assessment, security engineering, and digital twins in construction and energy systems. She frequently collaborates with researchers such as Michael Felderer, Clemens Sauerwein, and Philipp Zech, contributing to advancements in software testing, threat intelligence sharing, and cyber-physical systems. Notable awards include her PhD awarded summa cum laude. She has also been actively involved in national research governance, serving on the board of the Austrian Science Fund (FWF) from 2011 to 2020. She co-founded Txture GmbH in 2017 and holds advisory roles at Universität Passau and FH OST. Ruth Breu advises several students and leads a vibrant research group. Her leadership extends to organizing workshops and contributing to major conferences in software engineering and enterprise modeling. She is deeply engaged in both academic and applied research, bridging theory and practice in IT quality and security.

• Mathematics Education
• Teacher Preparation
• Multilingual Learners in Mathematics
• +۳ مورد دیگر

Kathryn B. Chval serves as Dean of the University of Illinois Chicago (UIC) College of Education and holds the rank of Professor of Mathematics Education. Her 32-year career spans leadership roles at institutions including the University of Missouri and the National Science Foundation (NSF). She specializes in teacher preparation for multilingual learners, curriculum standards, and systemic educational change. Chval has secured over $20 million in research funding, leading projects such as the Center for the Study of Mathematics Curriculum and initiatives focused on alternative teacher certification models. Education: Earned graduate degrees at UIC while working on NSF-funded curriculum projects. Leadership Roles: Former Joanne H. Hook Dean’s Chair in Educational Renewal at MU; Acting Section Head at NSF; Chair of NCTM Research Committee. Her research emphasizes equitable mathematics education for linguistically diverse students, with over 70 publications. Chval pioneered the Grand Challenges in Mathematics Education initiative to unify interdisciplinary research efforts. She has held executive roles in organizations like AERA and the National Academies of Sciences, focusing on STEM equity for English learners. Awards: NSF Early Career Award (2005), TODOS Equity Leadership Award (2018), and multiple recognitions for administrative excellence. Chval’s grants include collaborative studies on parent-child-teacher partnerships in math and systemic reforms for under-resourced schools. She directs the UIC College of Education’s strategic initiatives in diversity, global engagement, and academic program innovation.

• Cryptography
• Computer Security
• Privacy
• +۳ مورد دیگر

Gene Tsudik is the Peter & Lois Griffin Professor at the University of California, Irvine (UCI), affiliated with the School of Information and Computer Sciences. His research focuses on cryptography, computer security, privacy, and applied cryptographic protocols. He has authored over 300 publications in top-tier venues, addressing challenges in secure communication, key management, privacy-preserving technologies, and network security. Key research areas include group key agreement, secure data possession, privacy-preserving protocols, and mobile agent systems. His work has influenced foundational aspects of computational grid security, cloud storage integrity, and post-quantum cryptography. Collaborations include prominent institutions like KAIST, University of Surrey, and NYIT. His publications span topics from theoretical cryptographic proofs to practical system implementations, reflecting a balance between academic rigor and real-world applicability.

Xiaoyu Xiaمشاهده پروفایل

مدرس

• System Privacy and Security
• AI Privacy
• Parallel and Distributed Computing
• +۴ مورد دیگر

Dr. Xiaoyu Xia is a Lecturer (equivalent to Assistant Professor in North America) in Cybersecurity & Software Systems at RMIT University's School of Computing Technologies. He received his PhD with the prestigious Alfred Deakin Medal from Deakin University, Australia, and has established himself as a leading researcher in distributed systems and cybersecurity with over 50 peer-reviewed publications in top-tier venues including IEEE S&P, ACM WWW, and IEEE Transactions. Dr. Xia's research spans critical areas at the intersection of computing and security: System Privacy and Security Distributed Systems and Edge Computing AI Privacy and Machine Learning Systems Sustainable Computing Cybersecurity and Privacy-Preserving Technologies His recent work demonstrates a clear trajectory toward developing practical privacy-preserving frameworks for emerging technologies, particularly in edge computing environments and large language models. Dr. Xia has made significant contributions to machine unlearning, secure data management in distributed systems, and energy-efficient edge computing solutions that balance performance with sustainability concerns. Dr. Xia has received notable recognition for his scholarly impact: World's Top 2% Scientists by Stanford University (2022-2024) Alfred Deakin Medal for PhD research excellence (2021) Teaching Excellence Award from Swinburne University of Technology (2021) As an active researcher, Dr. Xia currently leads multiple funded projects including an ARC Discovery Project grant worth over $500,000 for developing privacy-aware intelligent digital twins for secure critical infrastructures. He is open to supervising motivated PhD students with interests in system security and privacy, and distributed ML systems. Dr. Xia serves the academic community through editorial roles as Associate Editor for IEEE Transactions on Dependable and Secure Computing and as a Review Board Member for IEEE Transactions on Parallel and Distributed Systems, and regularly participates in program committees for major conferences including ACM WWW and IEEE ICDCS.

Jeannie L. Johnsonمشاهده پروفایل

استاد

• Strategic Culture
• National Security Policy
• Geopolitics
• +۷ مورد دیگر

Jeannie L. Johnson is a Professor in the School of Social Sciences, Department of Political Science at Utah State University. She serves as Director of the Center for Anticipatory Intelligence (CAI), an interdisciplinary research and academic hub focused on national security, cyber threats, data analytics, and emergent technology. Her work bridges academic research and practical intelligence applications through government and industry partnerships. Research Interests: Dr. Johnson specializes in strategic culture, examining how national, military, and organizational cultures shape security policy. Her research spans U.S. military service cultures, counterinsurgency operations, nuclear weapons policy, and intelligence analysis. She has pioneered the Cultural Topography method, a framework for analyzing cultural influences on strategic decision-making. Her scholarly contributions include the 2018 book The Marines, Counterinsurgency, and Strategic Culture: Lessons Learned and Lost in America’s Wars , which features a foreword by former Secretary of Defense Jim Mattis, and co-edited volumes on strategic culture and nuclear policy. She led the development of the nation's first undergraduate Minor in Anticipatory Intelligence and is launching a Graduate Certificate in the field. Scientific Awards and Recognition: Cultural Topography method featured in CIA’s Studies in Intelligence , June 2011 Advising and Grants: Dr. Johnson mentors students through the Center for Anticipatory Intelligence and leads federally and institutionally supported research initiatives. She has developed new academic programs and secured interdisciplinary collaboration across government and industry sectors, advancing experiential learning and applied research in intelligence studies. Labs and Teams: As Director of the Center for Anticipatory Intelligence, Dr. Johnson leads a multidisciplinary team integrating expertise in political science, data science, cybersecurity, and national security policy. The CAI serves as a nexus for research, education, and real-world application, fostering innovation in anticipatory intelligence methodologies.

• Archaeology
• Geoarchaeology
• Quaternary Paleoecology
• +۱۰ مورد دیگر

Judson Finley is a Professor and Interim Department Head in the Department of Sociology and Anthropology at Utah State University’s School of Social Sciences. He holds a PhD in Anthropology (Archaeology) from Washington State University and has been a key figure in advancing archaeological research and experiential education in the American West. Educational Background: PhD, Anthropology (Archaeology), Washington State University, 2008 MA, Anthropology (Archaeology), Washington State University, 2001 BA, Anthropology (Archaeology), University of Wyoming, 1996 Judson's research interests center on Quaternary paleoecology , geoarchaeology , and the geological interface with Native American history in the Western United States. He specializes in rockshelter sedimentation, obsidian and ceramic geochemistry, and climate change impacts on prehistoric societies. His work bridges archaeology, environmental science, and policy, particularly in public lands and tribal consultation. His recent publications reflect a strong trend in climate-archaeology integration , ceramic chronology using OSL dating , and interdisciplinary pedagogy . He has co-edited Ecopedagogies: Practical Approaches to Experiential Learning , emphasizing place-based and environmental education. Scientific Awards and Honors: CHASS Faculty Undergraduate Mentor of the Year, 2019 Beyond Bears Ears Think Tank Award, 2017 CHASS Faculty Undergraduate Advisor Award, 2016 Project of the Year Award, 2011 Regional Forester Honor Award, 2009 Amerind Seminar Participant, 2007, 2008 Judson has mentored numerous graduate students in anthropology and sociology, and has secured research grants supporting field schools and collaborative projects with Indigenous communities. His teaching includes courses on North American archaeology, geoarchaeology, climate change, and cultural resource management. He is actively involved in interdisciplinary research teams focusing on environmental justice, public lands policy, and experiential learning frameworks. His work with the Bighorn Canyon National Recreation Area and tribal consultation under NEPA/NHPA highlights his commitment to ethical and inclusive archaeology.

Joshua Wilsonمشاهده پروفایل

دانشیار

• Writing Education
• Educational Technology
• Automated Writing Evaluation
• +۳ مورد دیگر

Dr. Joshua Wilson is an Associate Professor in the School of Education at the University of Delaware, specializing in improving writing instruction through automated evaluation systems. His research focuses on leveraging technology to enhance teaching and learning, particularly in K-12 settings, and he has secured over $3.4 million in grants from federal, foundation, and industry sponsors. He coordinates the M.Ed. in Exceptional Child and Youth program and teaches courses on elementary special education methods. Education: Ph.D. in Special Education (University of Connecticut, 2014), M.S. in Special Education (Southern Connecticut State University, 2005), B.A. in Religion (Wesleyan University, 2000). Professional Experience: Joined University of Delaware in 2014 as Assistant Professor, promoted to Associate Professor in 2020. His research interests include automated writing evaluation systems, formative assessment, and the intersection of technology with writing pedagogy. He has published in top journals such as Computers & Education and sits on the editorial boards of Gifted Child Quarterly and Journal of Educational Psychology . Recent grants include a $1.49M project on Efficacy of “MI Write” Automated Writing Evaluation (Bill & Melinda Gates Foundation, 2020) and a $399,999 study on researcher-practitioner partnerships in writing assessment (U.S. Department of Education, 2017–2021). Awards: 2019 Gerard J. Mangone Young Scholars Award (Social Sciences/Humanities), 2017 Dean’s Faculty Research Award, 2015 Harris Kahn Dissertation Award. Wilson’s work emphasizes the practical application of AI tools to address writing proficiency gaps and improve educational outcomes for diverse student populations.

• Resilience in 5G
• Distributed Artificial Intelligence (Edge AI)
• Information assessment
• +۳ مورد دیگر

Tobias Meuser is a Researcher at the Multimedia Communications Lab of Technische Universität Darmstadt, leading the "Adaptive Communication Systems" group since 2020. He holds a PhD (2019) focused on vehicular network data management and has been a central figure in the third phase of the Collaborative Research Center (CRC) MAKI as a principal investigator in subproject B1. His work emphasizes resilient 5G networks, edge AI, and distributed systems. Education: B.Sc. Business Informatics (Fernuniversität Hagen) M.Sc. Informatics (TU Darmstadt) Research Interests: Resilience in 5G and beyond Edge AI and distributed machine learning Information assessment in vehicular networks Collaborative perception systems Hardware acceleration for network functions Key Projects: Principal Investigator in CRC MAKI's B1 (Monitoring and Analysis) Collaborations with Opel (cooperative maneuvering) and Deutsche Bahn (5G resilience) Labs/Teams: Head of Adaptive Communication Systems group at Multimedia Communications Lab Member of Distributed Sensing Systems group (2016–2020)