جستجوی استاد راهنمای دانشگاهی

Robert M. Weikle, IIمشاهده پروفایل

استاد

• Millimeter-wave electronics
• Terahertz technology
• Applied electromagnetics
• +۹ مورد دیگر

Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.

Lauren Horn Griffinمشاهده پروفایل

استادیار

• Religion and Technology
• Digital Religion
• Media Studies
• +۴ مورد دیگر

Lauren Horn Griffin is an Assistant Professor of Religious Studies at Louisiana State University (LSU), jointly appointed in the Department of History. Her work bridges religion, technology, media, and nationalism, with a focus on how digital platforms shape contemporary religious identities. She earned a B.A. in English from the University of Oklahoma (2006), an M.T.S. from Vanderbilt Divinity School (2010), and a Ph.D. in Religious Studies from the University of California, Santa Barbara (2016). Griffin’s research examines the intersection of religion and media, particularly in Catholic communities. Her book Fabricating Founders in Early Modern England (2023) explores how confessional debates influenced national identity formation. Current projects investigate post-national religious identities online and the role of medieval imagery in digital spaces. She is also a leader in public humanities, leveraging grants from the Henry Luce Foundation and LSU to advance interdisciplinary work. Her teaching spans digital religion, AI ethics, and U.S. religious history. Courses include Religion and AI and History of Religion in the United States . Griffin actively contributes to initiatives like the LSU Ethics Institute and the AI & Religion Collaborative, emphasizing ethics in emerging technologies. Her awards include the ATLAS Grant (2024-25) and multiple fellowships from the Henry Luce Foundation. Griffin’s publications span peer-reviewed journals, edited volumes, and public-facing platforms like Religion News Service and Religion Dispatches . She frequently addresses topics such as Christian nationalism, traditionalist movements (#RadTrad), and the impact of digital media on religious expression.

• Computer Network Security
• Mobile Computing
• Cloud Computing
• +۴ مورد دیگر

Dr. Dijiang Huang is an Associate Professor in the School of Computing and Augmented Intelligence at Arizona State University (ASU). He joined ASU in 2005 after completing his Ph.D. in Telecommunications and Computer Networking from the University of Missouri-Kansas City (2004). His research focuses on cybersecurity, mobile computing, and cloud computing, supported by grants from the National Science Foundation (NSF), Office of Naval Research (ONR), and industry partners like HP. He has received prestigious awards, including the ONR Young Investigator Award and HP Innovative Research Award. Education: B.E. in Telecommunications, Beijing University of Posts and Telecommunications (1995) M.S. in Computer Science, University of Missouri-Kansas City (2001) Ph.D. in Telecommunications and Computer Networking, University of Missouri-Kansas City (2004) Research Interests: Huang’s work emphasizes secure communication protocols, privacy-preserving techniques, and resilient network architectures. He has pioneered frameworks like Secure Group Communication (SeGCom) and Attribute-Based Cryptography , addressing challenges in VANETs, SDN, and edge computing. His recent projects include developing Waterfall for SDN security and SmartDefense for DDoS mitigation. Grants & Awards: ONR Young Investigator Award (2008) HP Innovative Research Award (2008) NSF grants for secure mobile cloud frameworks and cyber-physical systems Professional Contributions: Huang has served as a reviewer for journals like IEEE Transactions on Wireless Communications and conferences such as ACM MobiArch. He co-developed the Open Human-Robotic Mobile Networking and Security Testbed (OHReST) and the Virtual Laboratory (VLab) for cybersecurity education.

Daniel Frischemeierمشاهده پروفایل

استاد

• Mathematics Education
• Statistics Education
• Data Science Education
• +۵ مورد دیگر

Daniel Frischemeier is a Professor of Mathematics Didactics with a focus on Primary Education at the University of Münster's Faculty of Mathematics and Computer Science. He has established himself as a leading researcher in statistics and data science education for primary school students, with extensive contributions to educational methodology and teacher training. University of Münster (2021-present) TU Dortmund (2020-2021) University of Paderborn (2009-2020) Ludwig-Maximilians-Universität München (2017-2018) Dr. Frischemeier completed his doctoral studies at the University of Paderborn with a dissertation on statistical thinking and research using TinkerPlots software. His educational background includes graduate studies in Mathematics and undergraduate studies in Mathematics and Physics for teaching at various school levels. His research focuses on the design and testing of teaching-learning environments for primary mathematics education, particularly in the areas of data analysis, probability, and statistics. He conducts qualitative analysis of learners' cognitive processes related to the guiding principle of 'data and chance' in primary education. His work also includes the design and evaluation of teaching materials in data science and civil statistics, the use of learning videos to promote process-related skills, and the implementation of Fermi tasks and computer science education within primary mathematics lessons. Analysis of Dr. Frischemeier's recent publications reveals a strong emphasis on data literacy development in primary education, with increasing focus on the integration of digital tools and the conceptual understanding of data as models. His work bridges mathematics education with emerging fields of data science, addressing both theoretical frameworks and practical classroom applications. The research demonstrates a progression from basic statistical concepts toward more complex data modeling approaches suitable for young learners. Elected member of the International Statistical Institute (ISI) Chair of the Local Organizing Committees for IASE Satellite 2025 Conference Council-Member of the International Statistical Institute Special Edition Editor of the Statistics Education Research Journal Member of International Program Committees for major statistics education conferences Co-Leader of CERME Thematic Working Group 5 on Probability and Statistics Education Dr. Frischemeier serves in numerous editorial capacities and review roles for prominent journals in mathematics and statistics education. He leads significant research projects including 'Promoting Data Science Education for Teacher Education at the University level (DataSETUP)' and 'Data Science Education in STEAM for Civic Engagement and Social Justice from the Early Years (DataScEd4CiEn)'. His work has substantial impact on teacher education programs and curriculum development in statistics and data science for primary schools. He is actively involved in the development and leadership of the Math Center Münster (MaZ), which promotes mathematical potential for all students. His team includes numerous research assistants and doctoral candidates working on various aspects of mathematics education research, particularly focusing on data literacy and statistical reasoning in primary education contexts.

Christopher Piechمشاهده پروفایل

استادیار

• Computer Science Education
• Educational Data Science
• Artificial Intelligence in Education
• +۳ مورد دیگر

Christopher Piech is an Assistant Professor (Teaching) in the Department of Computer Science at Stanford University, with a courtesy appointment in the Graduate School of Education. He serves as a Faculty Affiliate at the Institute for Human-Centered Artificial Intelligence (HAI) and is affiliated with the Symbolic Systems Program. Current courses: AI for Social Good (CS 21SI), Introduction to Probability for Computer Scientists (CS 109), Researching Presenting and Publishing Work in AI & Education (CS 220/EDUC 481) Advises 11 Master's students and co-advises 3 Doctoral students His research focuses on computational education, leveraging artificial intelligence to enhance learning analytics, student collaboration detection, and knowledge tracing in programming education. Publications span ACM Technical Symposium on Computer Science Education (SIGCSE) and NeurIPS conferences. Key article trends include: (1) AI-driven educational tools for code analysis, (2) collaboration monitoring in large classes, and (3) probabilistic models for student learning trajectories.

Chinmay Kulkarniمشاهده پروفایل

استادیار

• Human Computer Interaction
• Large-scale Learning
• Automation
• +۵ مورد دیگر

Chinmay Kulkarni is an Assistant Professor at Carnegie Mellon University's Human-Computer Interaction Institute, where he leads the Expertise@Scale lab. His research integrates large-scale data and automation to transform learning, work, and mentoring systems. Education : Ph.D. in Computer Science from Stanford University (recipient of the Arthur P Samuel Award) Previous Affiliations : Microsoft Research, Barcelona Supercomputing Center His research spans: Human-Computer Interaction design for massive collaboration Voice-controlled interfaces and AI tools Future of work in remote/hybrid environments Behavioral economics through tech interventions Creative entrepreneurship support systems Algorithmic feedback in education Recent publications with AI and education focus show strong trends in voice technology, peer feedback mechanisms, and scalable learning platforms. His lab's systems have been used by >100,000 users across 150 countries. Scientific Awards : Arthur P Samuel Award (Stanford thesis award) Advising & Grants : NSF grant recipient US Department of Education funding Office of Naval Research support Departmental fellowship Labs : Directs Expertise@Scale lab developing systems adopted by Coursera and edX. Current research group includes PhD students Yasmine Kotturi, Julia Cambre, Pranav Khadpe and Masters student Sayan Chaudhry.

Dimitris Kolovosمشاهده پروفایل

استاد

• Automated and Model-Based Software Engineering
• Model-Driven Software Engineering
• GenAI for Software Engineering
• +۴ مورد دیگر

Roles and Affiliations : Dimitris Kolovos is a Professor of Software Engineering at the University of York's Department of Computer Science. He leads the Automated Software Engineering (ASE) research group and is an Eclipse Foundation committer, leading development of the Epsilon open-source platform. His roles include research leadership, teaching, and academic service. Education : PhD in Software Engineering - University of York MSc in Software Engineering with Distinction - University of York First Class Honours Degree in Informatics - Athens University of Economics and Business Research Interests : Kolovos focuses on advancing Model-Driven Engineering (MDE), GenAI integration in software development, low-code platforms, and data analytics. His work emphasizes scalable modeling tools, education technology (e.g., MDENet platform), and industry collaboration with organizations like NASA, BAE Systems, and Siemens. Labs and Projects : He leads the Epsilon project under the Eclipse Modelling initiative, developing tools for model transformation, validation, and code generation. His research group also explores AI-driven model transformations and hybrid graphical-textual editors.

Leah Perlmutterمشاهده پروفایل

استادیار

• Computer Science Education
• Belonging in Post-Secondary Computer Science
• Human-Robot Interaction
• +۳ مورد دیگر

Dr. Leah Perlmutter is a tenure-track Assistant Professor in the Computer Science Department at Grinnell College, focusing on inclusive pedagogy and student belonging in post-secondary CS education. She earned her Ph.D. (2023) and M.S. (2020) in Computer Science and Engineering from the University of Washington, and her B.A. (2012) in Computer Science and Engineering from Colby College. Her research examines how course policies and teaching assistant interactions impact student inclusion in computer science, with a particular emphasis on resubmission opportunities and justice-centered approaches to teaching. Her work also includes human-robot interaction projects like GestureCalc (an eyes-free calculator for touchscreens) and EMAR (a social robot for emotional clarity support). Recent publications explore themes such as algorithmic ethics in education, student belonging in CS, and accessible interface design. She received the NSF Graduate Research Fellowship (2017) and the Outstanding Female Engineer Award (2018). At Grinnell, she teaches courses like Functional Problem Solving, Software Design, and Algorithms, Ethics, and Society.

• Software Testing
• Mutation Testing
• Model-Based Testing
• +۷ مورد دیگر

Jeff Offutt is a Professor and Chair of the Department of Computer Science at the University at Albany, College of Nanotechnology, Software, & Engineering. Previously, he was a Full Professor with Tenure in Software Engineering at George Mason University since 2005. He received his PhD in Information & Computer Science from the Georgia Institute of Technology in 1988. His research spans software testing, mutation testing, model-based testing, automatic test data generation, web application testing, and software engineering education. He has led significant projects such as the NSF-funded integration of CS into K-5 classrooms and the Google-funded SPARC project for scalable CS1/CS2 instruction. The 15 most recent articles reflect a continued focus on mutation testing cost reduction, model-based testing oracles, educational innovations, and security aspects of web applications. Trends include empirical validation, industrial applicability, and bridging theory with practice in software testing and engineering education. John Toups Presidential Medal for Excellence in Teaching (2020) George Mason University’s Alumni Association Faculty Member of the Year (2020) Outstanding Faculty Award from the State Council of Higher Education for Virginia (2019) Best Paper Award at ICST 2021 10-Year Most Influential Paper Award at MODELS 2020 George Mason University Teaching Excellence Award (2013) ACM Notable Article Award (2013) Jeff Offutt has mentored numerous graduate students including Upsorn Praphamontripong, Nan Li, and Yu-Seung Ma, and has led major grant-funded projects such as the SPARC educational model and NSF initiatives on K-5 CS integration. His textbook Introduction to Software Testing (with Paul Ammann) is widely adopted globally. He led the MS in Software Engineering program at GMU and developed several new courses in software testing, web engineering, and usability. He pioneered innovative teaching methods using web technologies and asynchronous learning models. He also co-founded the IEEE International Conference on Software Testing, Verification and Validation (ICST) and served as Editor-in-Chief of Software Testing, Verification and Reliability from 2007 to 2019.

Sarah Eblingمشاهده پروفایل

استاد

• Computational Linguistics
• Assistive Technologies
• Sign Language Technologies
• +۷ مورد دیگر

Sarah Ebling is a Full Professor of Language, Technology and Accessibility at the University of Zurich's Faculty of Arts and Social Sciences. She leads the Language, Technology and Accessibility research group within the Institute for Computational Linguistics. Her work focuses on computational linguistics applications for assistive technologies targeting disabilities such as hearing impairments, visual impairments, and cognitive disorders. Key areas include sign language technologies, automatic text simplification, and audio description systems. She directs the large-scale Swiss innovation project 'Inclusive Information and Communication Technologies' (2022-2026, CHF12 million budget) and collaborates on EU H2020 and SNSF Sinergia projects. Education: Holds a doctoral degree (summa cum laude, 2016) from the University of Zurich with research on automatic translation to Swiss German Sign Language. Completed studies in German Linguistics, Computational Linguistics, and English Linguistics at Universities of Zurich and Heidelberg, with research stays in Dublin, Chicago, and Rochester. Research emphasizes multimodal accessibility solutions, including sign language fluency assessment, gesture-based interaction, and AI-driven text adaptation. Current projects explore audio description translation systems (SwissADT), sign language corpus development (SwissSLi), and digital tools for comprehensibility assessment in simplified texts. Her work bridges computational linguistics with ethical considerations in assistive technology deployment. Grants and Leadership: Principal Investigator on major accessibility-focused grants, including the CHF12M Swiss innovation project. Supervises PhD candidates in areas like sign language assessment tools and text simplification algorithms. Active in international collaborations, publishing extensively in computational linguistics and accessibility journals/conferences. Technology Development: Created the 'DigiSpon' benchmark for language sample analysis and developed open-source tools for sign language translation baselines. Her team's innovations include the SignCLIP model connecting text and sign language via contrastive learning, and pose estimation frameworks for sign language recognition.

Stephen Frezzaمشاهده پروفایل

استاد

• Philosophy of Engineering
• Affective-Domain Assessment
• Competency Modeling and Assessment
• +۴ مورد دیگر

Dcn. Stephen Frezza is a Professor of Software Engineering and current Director of the Software Engineering Program at Franiscan University of Steubenville . Prior to this, he served as a professor and three-time chair of the Computer and Information Science Department at Gannon University for 26 years. His expertise spans requirements engineering, project management, software testing, and embedded systems . Ph.D., M.S., and B.S. in Electrical Engineering from the University of Pittsburgh Professional Software Engineering Master (PSEM) Active in industry-university partnerships His research bridges engineering with theology , focusing on philosophy of engineering, affective-domain assessment, competency modeling, and software engineering education . He has authored numerous scholarly works on virtue formation, educational frameworks, and the philosophical foundations of computing. Recent publications highlight his contributions to computing curricula (CC2020), virtue-based educational models , and Lonergan’s epistemology applied to engineering . His work integrates faith and reason in pedagogical contexts, emphasizing the ethical dimensions of engineering education . Senior Member of the IEEE Computer Society Volunteer for IEEE-CS Special Technical Committee on Education Professional member of the American Society for Engineering Education (ASEE) Dcn. Frezza’s leadership in curriculum design and industry collaboration has shaped software engineering programs globally. His teaching and research underscore the interplay between technical rigor and moral development , advocating for holistic engineering education.

• Academic Integrity
• Research Integrity
• Scientific Documentation and Communication
• +۲ مورد دیگر

Rubén Lluc Comas Forgas is a Full Professor at the University of the Balearic Islands (UIB) in the Department of Applied Pedagogy and Educational Psychology . He holds a European PhD in Educational Sciences from UIB (2009) and has served as a visiting researcher at institutions including the University of East Anglia, Liverpool John Moores University, Panteion University, Autonomous University of Yucatán, and Stockholm University. Current research focuses on Academic Integrity , Research Integrity , Scientific Communication , Educational Uses of ICT , and Environmental Education . He leads multiple EU-funded projects (e.g., AI-UpskillED , CHARLIE ) and national initiatives like Academic Integrity in Initial Teacher Training (MCI-AEI-ERDF). His recent publications analyze the impact of generative AI on academic writing, predatory journals in education sciences, and plagiarism trends among Spanish students. He collaborates with the Research Group on Academic Integrity (GRIAC) and Education for Sustainability (GREAS) .

Margaret Burnettمشاهده پروفایل

استاد

• Software Engineering
• Human-Computer Interaction (HCI)
• End-User Programming
• +۵ مورد دیگر

Margaret Burnett is a Distinguished Professor at Oregon State University's School of Electrical Engineering and Computer Science (EECS). She specializes in software engineering, human-computer interaction (HCI), and inclusive design. Her research focuses on end-user programming, gender-inclusive software (via the GenderMag method), and improving accessibility in AI systems. She leads the EUSES Consortium and the AgAID Institute, fostering collaboration between academia and industry. Education: Ph.D., Computer Science (with honors), University of Kansas (1987–1991) M.S., Computer Science, University of Kansas (1979–1981) B.A. Mathematics, Cum Laude, Phi Beta Kappa, Miami University (1967–1970) Research & Awards: Recipient of the 2023 AnitaB.org Technical Leadership Abie Award, ACM Fellow, IEEE Fellow, and numerous university awards. Her work has been recognized for advancing inclusive design methodologies and mentoring students in computing. Teaching & Mentorship: Teaches courses like Inclusive Design with Personas (CS 468/568). Mentored over 50 graduate students, many of whom became professors, researchers, or UX professionals. Current students include Sadia Afroz, Alec Busteed, and Fatima Moussaoui. Labs & Collaborations: Leads the EUSES Consortium (multi-institution collaboration on end-user software engineering) and the AgAID Institute (AI for agriculture). Active in developing the GenderMag and InclusiveMag methodologies to address gender and socioeconomic biases in software.

Adam Doupéمشاهده پروفایل

دانشیار

• Cybersecurity
• Cybercrime
• Binary Analysis
• +۷ مورد دیگر

Adam Doupé is an Associate Professor at Arizona State University's School of Computing and Augmented Intelligence (SCAI) and Director of the Center for Cybersecurity and Trusted Foundations (CTF). He holds a Ph.D. and M.S. in Computer Science from the University of California, Santa Barbara. His research focuses on cybersecurity, vulnerability analysis, web security, and hacking competitions. Notable awards include the NSF CAREER Award (2017), Best Teacher Award, and Outstanding Assistant Professor Award from ASU's Fulton Schools of Engineering. Education: Ph.D. and M.S. in Computer Science, UC Santa Barbara (2014, 2009). Research emphasizes automated vulnerability analysis, binary analysis, and cybersecurity education. Key contributions include frameworks like SCAMNet and SENSAI for fraud detection, and tools like Fuzz to the Future for uncovering future vulnerabilities. Recent articles highlight advancements in phishing ecosystem analysis, browser fingerprinting mitigation, and compiler-aware decompilation. Awards reflect his impact in both teaching and research. Advising and grants support his work in secure systems and ethical hacking. He co-leads the SEFCOM lab with Drs. Ahn, Shoshitaishvili, Wang, and Bao, and hosts CTF Radiooo for cybersecurity discussions.

Yannic Nollerمشاهده پروفایل

استاد

• Automated Program Repair
• Machine Learning Analysis
• Software Testing
• +۳ مورد دیگر

Yannic Noller is a Professor at the Faculty of Computer Science at Ruhr University Bochum (RUB), leading the Software Quality group. Previously, he held positions as Assistant Professor at Singapore University of Technology and Design (SUTD) and Research Assistant Professor at National University of Singapore (NUS). His research focuses on automated software engineering, including program repair, machine learning analysis, and software testing. He earned his Ph.D. from Humboldt-Universität zu Berlin under Prof. Lars Grunske, with a thesis on hybrid differential software testing. Education: Ph.D. in Computer Science (2016-2020, Humboldt-Universität), M.Sc. (2013-2016, University of Stuttgart), B.Sc. (2010-2013, University of Stuttgart). Research interests include automated program repair techniques, machine learning model analysis, and intelligent tutoring systems for programming education. Notable contributions include HyDiff (hybrid differential analysis tool) and CPR (concolic program repair). Awards include the Distinguished Artifact Reviewer at ISSTA'2021 and multiple scholarships for academic excellence. Teaching includes courses on software engineering, requirements engineering, and automated software engineering.