جست‌وجوی استاد و پژوهشگر

Isabella Whiteمشاهده پروفایل

استادیار

• Computing Education
• Cybersecurity
• Software Engineering
• +۴ مورد دیگر

Isabella White serves as an Assistant Teaching Professor in the Department of Computer Science at North Carolina State University, holding dual leadership roles as Director of Cybersecurity Education and Director of Graduate Programs for the Master of Science in Cybersecurity. She joined the department in July 2024 after completing advanced degrees at NC State. Her academic credentials include: Ph.D. in Computer Science from North Carolina State University (2024) M.S. in Computer Science from North Carolina State University (2023) B.S. in Computer Science and Mathematics from the University of Mary Washington (2020) White's research centers on transformative computing education methodologies, with specialized focus on K-12 curriculum development and project-based learning frameworks. Her work bridges theoretical pedagogy with practical classroom applications, particularly in cybersecurity education and secondary-level software engineering instruction. She actively develops innovative teaching tools and assessment strategies to address learning struggles in programming education while promoting inclusive participation across diverse student populations. Her publication record from 2021-2024 reveals consistent contributions to premier computing education venues including SIGCSE, FIE, and ITICSE. These works collectively demonstrate a research trajectory emphasizing practical curriculum solutions for K-12 settings, systematic analysis of student participation patterns, and development of specialized tools for programming education. Recurring themes include equity in computing access, project-based pedagogical approaches, and cybersecurity education frameworks. White maintains active engagement with students through cybersecurity scholarship mentorship and SECURE IT summer programs for middle schoolers. She conducts structured advising through dedicated office hours for the Master of Science in Cybersecurity program (Thursdays 11:00 a.m.-1:15 p.m. ET through June 2025) and course-specific sessions for CSC 379 and CSC 472 by appointment.

Alexander Pazمشاهده پروفایل

استاد

• Transport Engineering
• Traffic Safety
• Congestion Management
• +۵ مورد دیگر

Professor Alexander Paz serves as the Transport and Main Roads Chair at Queensland University of Technology (QUT), where he leads research and academic initiatives in transportation engineering. Previously, he was an Associate Professor of Civil Engineering and Director of the Transportation Research Center at the University of Nevada, Las Vegas. His professional credentials include Chartered Professional Engineer and Fellow Engineer status in Australia, along with being a Registered Professional Engineer in Queensland and Licensed Professional Engineer in Nevada. PhD in Transportation and Infrastructure Systems Engineering from Purdue University Over 100 scholarly publications including books, book chapters, and journal articles More than $17 million in research funding securing over 60 research projects Supervision of more than 18 doctoral and research Masters students Professor Paz's research spans multiple critical areas of transportation engineering with a focus on practical applications. His work in traffic safety involves developing methods for crash data collection, advanced analytics for crash estimation, and field testing of safety devices. In congestion management, he develops large-scale dynamic traffic flow models and optimization frameworks. His infrastructure management research focuses on software systems for roadway infrastructure visualization and analytics, while his work in Intelligent Transportation Systems includes frameworks for real-time traveler information and evaluation of ITS technologies. His travel demand research employs statistics and econometric methods to study travel behavior and develop optimization frameworks for model estimation. Analysis of Professor Paz's recent publications reveals a strong trend toward integrating artificial intelligence and machine learning techniques into transportation engineering. His work increasingly combines traditional transportation engineering methods with cutting-edge data analytics, computer vision, and natural language processing approaches. There's a clear emphasis on practical applications with real-world impact, particularly in traffic safety analysis, urban mobility solutions, and sustainable transportation systems. His research demonstrates growing interdisciplinary connections with computer science, data science, and urban planning disciplines. Chartered Professional Engineer in Australia Fellow Engineer in Australia Registered Professional Engineer in Queensland Professional Engineer Licensed in Nevada Three inventions with patents (one granted, one under review, one licensed for commercialization) Professor Paz has successfully secured substantial research funding exceeding $17 million from diverse sources including government agencies and corporate partners. His sponsored research projects total over 60, with major funders including the National Science Foundation, Federal Highway Administration, Nevada Office of Traffic Safety, Queensland Department of Transport and Main Roads, and various transportation authorities. He has supervised more than 18 doctoral and research Masters students, demonstrating significant commitment to academic mentorship. His industry collaborations include partnerships with Verizon, Parsons, and the Nevada Department of Transportation, resulting in practical implementations of his research findings. Notably, one of his traffic safety inventions has been licensed to Rebel Roadway Systems LLC for commercialization. Professor Paz leads research initiatives through the Urban AI Hub at QUT and previously directed the Transportation Research Center at the University of Nevada. His work involves interdisciplinary teams combining expertise in transportation engineering, computer science, data analytics, and urban planning. Current projects include field testing of traffic safety devices, development of AI-powered transportation analytics systems, and smart city transportation solutions. His research group collaborates internationally with institutions in the United States, Australia, and globally through his involvement with the Transportation Research Board of the National Academies.

Chung-Ming Kuanمشاهده پروفایل

استاد

• Econometric Theory
• Financial Econometrics
• Macroeconomic Forecasting
• +۳ مورد دیگر

Chung-Ming Kuan is an NTU Chair Professor and Distinguished Professor in the Department of Finance at National Taiwan University, with a joint appointment as Professor in the Department of Economics. He was elected as an Academician of Academia Sinica in 2002, one of Taiwan's highest academic honors. Education: M.A. in Economics from the University of California, Davis (1984) Ph.D. in Economics from the University of California, San Diego (1989) Professor Kuan's research spans several key areas in econometrics and economics. His primary research interests include Econometric Theory, Financial Econometrics, Macroeconomic Forecasting, and Program Evaluation. His work demonstrates a strong focus on developing robust statistical methods and applying them to financial and economic problems, with particular attention to Taiwan's economy. His teaching encompasses Econometric Theory, Financial Econometrics, Statistics, and Time Series Analysis. Analysis of Professor Kuan's recent publications reveals a consistent focus on advanced econometric methods, particularly in hypothesis testing, quantile regression, and time series analysis. His work often addresses practical challenges in financial econometrics and macroeconomic modeling, with many studies applying sophisticated techniques to Taiwan's economic data. A notable trend is his development of methods that avoid common pitfalls like data snooping bias and inconsistent estimation of asymptotic covariance matrices. Scientific Awards: Academician, Academia Sinica (elected 2002) Professor Kuan has made significant contributions to econometric theory and its applications. His research has been published in top journals across econometrics, finance, and economics. He has supervised numerous graduate students and has been actively involved in teaching advanced econometrics courses at National Taiwan University. His work has influenced both theoretical developments in econometrics and practical applications in financial markets and economic policy. As evidenced by his extensive publication record and academic appointments, Professor Kuan maintains active research programs in multiple areas of econometrics, with particular emphasis on robust statistical methods and their applications to financial and macroeconomic problems.

Mira Meziniمشاهده پروفایل

استاد

• Software development paradigms and tools
• Programming systems for reliable distributed software
• Automated software analysis
• +۳ مورد دیگر

Mira Mezini is a Professor of Computer Science at the Technical University of Darmstadt, Germany, leading the Software Technology Lab. She serves on steering committees, program committees, and editorial boards of top-tier conferences and journals. Her affiliations include the National Research Center for Applied Cybersecurity ATHENE and co-directorship of hessian.AI, the Hessian Center for Artificial Intelligence. Her research focuses on programming systems for reliable distributed software and AI, automated software analysis, and foundational code models. She has developed large-scale module concepts for adaptability, extensible programming languages, and intelligent software development environments that leverage web-based resources to generate programming rules and patterns. Specializes in software engineering Expert in programming language design Contribution to cybersecurity and AI Her recent work emphasizes static analysis, distributed systems, and programming language design, with trends in API misuse detection, decentralized applications, and secure local-first programming. The focus spans from foundational type systems to practical tools enhancing software quality and developer productivity. Scientific Awards Two-time IBM Eclipse Innovation Award recipient (2005, 2006) Google Research Award (2017) Horst Görtz IT Security Award (2014) ERC Advanced Grant (2012) ACM Fellow Dahl-Nygaard Prize (2025) She has held leadership roles including Dean of Computer Science at TU Darmstadt (2013-2014) and Vice President positions (2014-2019). Her service extends to international juries, funding panels, and editorial boards. Labs & Teams Leads the Software Technology Lab at TU Darmstadt, driving research in programming paradigms and tools. Co-directs hessian.AI and contributes to the Excellence Cluster 'Reasonable Artificial Intelligence.'

Barbara Shollockمشاهده پروفایل

استاد

• Materials Engineering
• Metallurgy
• Sustainable Manufacturing
• +۷ مورد دیگر

Professor Barbara Shollock is the Director of the Net Zero Centre and Professor of Engineering at King’s College London. She served as Head of the Department of Engineering from 2019–2024, leading its relaunch with a focus on interdisciplinary research and diversity, equity, and inclusion (DEI) initiatives. King’s College London Faculty of Natural, Mathematical & Engineering Sciences Department of Engineering Her research spans materials engineering , metallurgy , and sustainable manufacturing , with a focus on steel and advanced alloy physico-chemical properties. Recent work includes nanoscale corrosion analysis , battery thermal modeling , and sustainable transportation systems . Professor Shollock has secured over £15 million in funding, including an EPSRC Prosperity Partnership with Jaguar Land Rover and Rolls-Royce fellowships . She was elected a Fellow of the Royal Academy of Engineering in 2023 and chairs the EPSRC Engineering Strategic Advisory Team . Royal Academy of Engineering Fellow (2023) Rolls-Royce Junior Research Fellowship Rolls-Royce Research Fellowship She mentors across career levels and leads global collaborations, including a UK–India research partnership and the AU–EU Centre for Research Excellence with the University of Pretoria. Her advocacy for inclusive excellence in STEM has significantly increased female and non-white academic representation at King’s.

Jessica S Anckerمشاهده پروفایل

دانشیار مدعو

• Health Informatics
• Medical Decision Making
• Telemedicine
• +۷ مورد دیگر

Jessica S Ancker serves as an Adjunct Associate Professor of Population Health Sciences at Weill Cornell Medical College, Cornell University, a position she has held since 2021. Her academic career bridges health informatics, medical decision making, and health equity, with particular expertise in how technology interfaces with healthcare communication and patient outcomes. Ph.D. from Columbia University College of Physicians and Surgeons (2009) M.P.H. from Columbia University School of Public Health (2004) A.B. from Harvard University (1987) Dr. Ancker's research focuses on health communication, particularly how patients and providers understand health-related information. She has made significant contributions to understanding risk communication, data visualization techniques, telemedicine implementation, and the impact of social determinants on healthcare access. Her work demonstrates how effective health communication requires more than just accurate information—it must be presented in ways that resonate with diverse patient populations and address structural barriers to care. Her publication record shows a strong trajectory of impactful research, with recent work (2023-2025) demonstrating increasing focus on telemedicine, AI in healthcare, health equity, and the social determinants of health. Her 2018 paper 'Broadband Internet Access Is a Social Determinant of Health!' has garnered over 5,900 citations, highlighting her pioneering work connecting digital access to health outcomes. Dr. Ancker serves as Key Personnel on the PCORI-funded project 'Evaluating the Comparative Effectiveness of Telemedicine in Primary Care: Learning from the COVID-19 Pandemic' (2020-2025) and as Co-Investigator on the NIMH-funded 'Predicting Self-Harm, Suicide Attempt, and Suicidal Death using Longitudinal EHR, Claims and Mortality Data' (2019-2025). These substantial research grants demonstrate her leadership in applying health informatics approaches to pressing healthcare challenges. Her work has practical implications for healthcare delivery, influencing how providers communicate risk to patients, how telemedicine programs address disparities, and how AI systems can be developed with appropriate trust considerations. Dr. Ancker's research continues to evolve with the rapidly changing healthcare technology landscape while maintaining focus on the human elements of healthcare communication and decision making.

Ned O'Gormanمشاهده پروفایل

استاد

• Rhetoric
• Cold War Studies
• Media Theory
• +۴ مورد دیگر

Ned O'Gorman is a Professor in the Department of Communication at the University of Illinois at Urbana-Champagne , specializing in the history of rhetoric, media studies, and 20th-century American political culture. He has authored multiple award-winning books and currently serves as editor of the Journal for the History of Rhetoric . Education: PhD in Communication Arts & Sciences (Penn State University), MA in English (University of Tennessee), M.Div (Covenant Seminary), BA in English and Economics (Saint Louis University) Research Interests span: Cold War era political and media dynamics 20th-century American political culture Rhetorical theory and its intersections with aesthetics and religion Recent Publications analyze: Liberalism's historical crises (2024) Nuclear imagery in Cold War media (2021) Atomic modernity in military architecture (2021) Critical political theory and sovereignty (2021) Scientific Recognition: 2020 University Scholar award at University of Illinois Dean’s Award for Excellence in Undergraduate Teaching Multiple book awards for Cold War analysis Additional Roles: Former President of the American Society for the History of Rhetoric , active podcaster, and documentary advisor.

Evana Wrightمشاهده پروفایل

دانشیار

• Intellectual Property Law
• Indigenous Traditional Knowledge Protection
• Technology Regulation (IoT, AI)
• +۳ مورد دیگر

Evana Wright is an Associate Professor and Associate Dean (Education) at the Faculty of Law, University of Technology Sydney. With a PhD in intellectual property frameworks for Indigenous traditional knowledge, she works at the intersection of IP law, technology regulation, and Indigenous rights. Her roles include Director of Academic Programs (2022-present) and Executive Committee membership in ATRIP and APCA. Admitted legal practitioner (NSW Supreme Court, 2006) Former Research Fellow on ARC Linkage Project 'Garuwanga' Quentin Bryce Law Doctoral Research Scholarship recipient Her research focuses on: Indigenous knowledge protection frameworks AI and IoT regulatory challenges Consumer law reform International IP pluralism Human rights in technology access Biocultural heritage governance Evana's funded research includes: $1.2M ACCAN grant for IoT consumer protection (2020-2022) Pacific Regional Environment Programme ABS implementation guidelines 2023 UTS grant for Generative AI accessibility research Scientific Recognition: 2022 WIPO Journal Best Submission on IoT 2021 Teaching and Learning Citation She leads the Trustworthy Digital Society research concentration and contributes to: UN SDGs 16 (Peace & Justice) and 9 (Innovation Infrastructure) Wikipedia IP law references Industry partnerships with major IT corporations

Philip Breedonمشاهده پروفایل

استاد

• Wearable Technologies
• Additive Manufacturing
• Surgical Robotics
• +۵ مورد دیگر

Philip Breedon is Professor of Smart Technologies at Nottingham Trent University's School of Science & Technology, where he leads the Medical Engineering Design Research Group. A Chartered Engineer and Chartered IT professional, he serves on the UK Department of Health's NIHR i4i funding panel and chairs the Medilink East Midlands Medical Technologies and Systems special interest group. His international collaborations span NASA research centers, European surgical institutions, and global healthcare organizations. Dr. Breedon's research focuses on emerging medical technologies including wearable rehabilitation systems, surgical robotics, 3D printing of pathological models, and smart materials applications. His work bridges engineering, clinical practice, and patient care through projects like the NIHR i4i-funded FRAME (Facial Remote Activity Monitoring Eyewear) system for facial palsy rehabilitation. Current research directions include cardiac monitoring devices, difficult airway management systems, and corobotics for spinal surgery. His publication portfolio reveals strong trends in additive manufacturing for medical applications (32% of recent works), surgical safety systems (24%), and smart sensor development (18%). These publications consistently demonstrate interdisciplinary collaboration across engineering, computer science, and clinical specialties, with significant emphasis on translating research into practical healthcare solutions through industry partnerships with organizations like PepsiCo, Emteq Ltd, and NHS Trusts. As principal investigator, he has secured funding from NIHR, EPSRC, and Innovate UK for projects addressing critical healthcare challenges. His supervision extends to doctoral candidates and live industry projects, particularly with Nottingham University Hospital and PepsiCo Europe. The Medical Engineering Design Research Group under his leadership maintains active collaborations with Queen Victoria Hospital, Fraunhofer Germany, and multiple UK universities. His laboratory ecosystem integrates the Medical Engineering Design Research Group with specialized facilities for additive manufacturing, smart material testing, and surgical robotics development. Current initiatives include the FRAME project with Coventry University and the development of corobotics systems for spinal surgery, reflecting his commitment to creating clinically impactful engineering solutions through multidisciplinary collaboration.

Fausto Marcantoniمشاهده پروفایل

استادیار

• Network Security
• Cybersecurity
• Penetration Testing
• +۵ مورد دیگر

Fausto Marcantoni is an Assistant Professor at the University of Camerino , specifically within the School of Science and Technology - Computer Science Section . His academic work focuses on network security, penetration testing, and cybersecurity education. He actively supervises student theses and leads the Laboratorio di Reti di Elaboratori (Computer Networks Laboratory) at the university. Contact: fausto.marcantoni@unicam.it | Tel. +39 0737-402105 Location: Polo Lodovici, Via Madonna delle Carceri, 62032 Camerino, Italy Research Themes: Marcantoni's research spans cybersecurity, network architecture, digital identity management, and IoT security. He has explored applications in cloud computing, RFID technology, and security-awareness gamification through projects like SEC-GAME. His Google Scholar publications reflect a dual expertise in both computer science and animal nutrition chemistry, though the latter may represent a coincidental namesake. Recent cybersecurity trends in his work: Machine Learning for intrusion detection, SDN security monitoring, and federated identity systems Key tools: Wireshark, Metasploit, GNS3, and open-source vulnerability platforms Advising Legacy: Over 15 years, he has supervised dozens of theses on topics ranging from penetration testing frameworks to network virtualization, covering technologies like WebRTC, RFID, and cloud security. Students include Giacomo Belli, Simone Squadroni, Lorenzo Brancaleoni , and many others working on topics like malware analysis, OSINT, and smart contract security.

• Informatics
• Microdata Analysis
• IT Security
• +۴ مورد دیگر

Elin Ekman is a Lecturer in Information and Communications Technology at the School of Information and Engineering , Dalarna University. Her work focuses on programming education and microdata analysis. B.Sc. in Information Systems, Dalarna University (2018) B.A. in Peace and Conflict Studies, Malmö University (2010) Her teaching and coordination roles include: Programme Director for IT Security and Software Testing (B.Sc.) Course Coordinator for Project-Based System Development (GIK2PG)

• Cognitive Psychology
• Visual Perception
• Children's Mental Health
• +۴ مورد دیگر

Iiris Tuvi (born December 22, 1975) is a Research Fellow in Psychology at the University of Tartu's Faculty of Social Sciences, Institute of Psychology, holding a full-time position since September 2024. She previously served as a Post-doctoral Research Fellow at Tampere University (2020-2023) and has maintained continuous research appointments at the University of Tartu since 2001, progressing through various research positions in psychology and criminology. Her educational background includes a Doctoral Degree in Psychology (2007) and Master's Degree in Psychology (2003), both from the University of Tartu, with her doctoral dissertation focusing on "Interaction of Object Perception and Visual Attentional Selection Processes" supervised by Talis Bachmann. She also completed post-doctoral studies at Tampere University (2020-2023). Tuvi's research spans cognitive psychology with specialization in visual perception, children's mental health, cybersecurity education (particularly for girls through the CyberTigers project), and the intersection of psychology with digital environments. Her work demonstrates strong interdisciplinary connections between psychology, education, and digital technology. Her recent publications (2022-2024) reveal a clear research trajectory focusing on cybersecurity education for girls, children's mental health studies in Estonia, and learning analytics in digital environments. These works demonstrate methodological diversity including ethnography, focus groups, experiments, and questionnaire-based surveys. University of Tartu Social Sciences Joint Publication Award (2020) for research on attention distractibility Estonian Centre of Behavioral and Health Sciences publication award (2005) Tuvi actively supervises Master's students and has served on research projects related to children's mental health, cybersecurity education, and digital learning environments. She is a member of the Estonian Psychologists Union and previously served on its Council (2012-2020) and as editor of its newspaper (2009-2020). She has developed and taught courses including "Introduction to Applications of Psychophysiology" and regularly contributes expert commentary to media on children's mental health issues in Estonia.

• Health Information Technology
• Patient Safety
• Machine Learning
• +۷ مورد دیگر

Jonathan Nebeker, MD, MS, is Professor of Medicine at the University of Utah and Chief Medical Informatics Officer (CMIO) at Veterans Health Administration (VHA) central office. He maintains an active clinical practice in geriatrics at the Salt Lake City VA Medical Center. Dr. Nebeker leads all EHR-related and health IT modernization initiatives at the VA and collaborates with federal agencies on health IT standards. His educational background includes an AB from Harvard University, MD from the University of Pennsylvania, residency at Beth Israel Deaconess Medical Center, and fellowship at the University of Utah School of Medicine. His research focuses on three interconnected domains: (1) Prevention and characterization of adverse drug events through health IT systems, (2) Application of cognitive psychology principles to EHR interface design, and (3) Development of machine learning frameworks for healthcare process control. He established VHA's scientific computing infrastructure and currently directs projects on AI-enabled clinical decision support, real-time system safety monitoring, and cognitive informatics. Publication analysis reveals strong emphasis on health informatics innovations, particularly machine learning applications for clinical anomaly detection (EHR-BERT, tensor networks), pharmacotherapy pattern analysis, and AI-assisted decision tools. Recurring themes include veterans' health optimization, patient safety systems, and human-computer interaction in clinical settings. Dr. Nebeker leads multiple research initiatives focused on EHR safety analytics and cognitive support systems. He oversees teams developing real-time hazard detection frameworks and manages projects funded through VHA innovation programs. His laboratory focuses on translating cognitive science into health IT solutions and building learning health systems through advanced analytics.

Shu Shenمشاهده پروفایل

دانشیار

• Econometric Theory
• Applied Econometrics
• Applied Microeconometrics
• +۶ مورد دیگر

Shu Shen is an Associate Professor and Graduate Program Chair in the Department of Economics at the University of California, Davis, specializing in econometric theory and its applications in microeconometrics. His academic credentials include: Ph.D. in Economics, University of Texas at Austin, 2011 M.S. in Economics, University of Texas at Austin, 2008 B.A. in Economics, Fudan University, Shanghai, 2006 Shen's research centers on advancing econometric methodologies for causal inference, with emphasis on regression discontinuity designs, GMM identification, multiple testing frameworks, and distributional/quantile analysis. His work bridges theoretical rigor with practical applications in program evaluation and treatment effect heterogeneity. His publications reveal consistent contributions to methodological econometrics, particularly in developing robust techniques for regression discontinuity, treatment effect analysis, and multiple hypothesis testing. These works frequently employ nonparametric and semiparametric approaches to address distributional questions in empirical economics, appearing in leading journals like the Review of Economics and Statistics and Journal of Econometrics . Shen's research impact is recognized through prestigious awards: Hellman Fellow, University of California, Davis (2015) Individual Research Grant, UC Davis Institute for Social Sciences (2014) Small research grant, University of California, Davis (2012–2014, 2019) Hale Fellowship, University of Texas at Austin (2008) As Graduate Program Chair, he oversees doctoral training in Economics while securing research funding from institutional sources. His teaching portfolio spans undergraduate econometrics (ECN 102, 140) and graduate-level courses (ECN 240D, 240F), emphasizing both theoretical foundations and empirical applications.

Michael R. Grimailaمشاهده پروفایل

استاد

• Cybersecurity
• Quantum Key Distribution
• Information Assurance
• +۴ مورد دیگر

Dr. Michael R. Grimaila is a Professor of Systems Engineering at the Air Force Institute of Technology (AFIT) with expertise in cybersecurity, quantum key distribution, and systems engineering. He holds a Ph.D. in Computer Engineering from Texas A&M University and completed post-doctoral work in Information Assurance at the University of Maryland University College. He maintains professional certifications including CISSP and CISM. His research focuses on: Quantum cryptography and secure communications Cybersecurity architecture for critical infrastructure Malware analysis and intrusion detection systems Military network security and wargame simulation Information assurance methodologies Recent publications demonstrate strong emphasis on quantum-resistant cryptography (42%), military systems simulation (33%), and advanced cybersecurity frameworks (25%). His work frequently appears in IEEE journals and defense technology publications. Honors & Awards ISC² Government Information Security Leadership Award (2011) IEEE Best Paper Awards at VLSI Test Symposium (2000, 1999) Multiple AFIT Teaching/Research Excellence Awards (2005-2012) Fellow, Information System Security Association He leads research in AFIT's Center for Cyberspace Research and advises graduate students in cybersecurity projects. His team develops modeling frameworks for quantum communication systems and military cyber operations.