جستجوی استاد راهنمای دانشگاهی

Xugui Zhouمشاهده پروفایل

استادیار

• Cyber-Physical Systems
• Security
• Dependability
• +۷ مورد دیگر

Xugui Zhou is an Assistant Professor jointly appointed in the Department of Electrical and Computer Engineering and the Department of Computer Science at Louisiana State University (LSU). He holds a Ph.D. in Electrical and Computer Engineering from the University of Virginia (2024), where he worked under Prof. Homa Alemzadeh. Prior to his Ph.D., he earned an M.Eng in Control Science and Engineering and a B.Eng in Automation from Shandong University. Before joining UVA, he was a Senior Engineer at NR Research Institute, State Grid of China. His research focuses on the intersection of system dependability, security, and control theory, with applications in autonomous systems and healthcare. Key interests include engineering resilient autonomous vehicles, mitigating adversarial attacks on cyber-physical systems (CPS), and enhancing safety through formal methods and machine learning. He leads a research lab with openings for Ph.D. students and interns. Zhou is actively involved in academic service, serving on program committees for DSN'26, AsiaCCS'26, and ICCPS'25, among others. He also chairs workshops like DSML'25 and organizes conferences such as ICCPS'24. His recent awards include the UVA Engineering Endowed Graduate Fellowship (2023) and selection as a Rising Star in Cyber-Physical Systems (2023). His teaching includes courses like AI-Driven Autonomous Driving Systems and ML for CPS Security at LSU. He has extensive experience in teaching and research supervision, emphasizing hands-on projects and interdisciplinary collaboration.

Rozenn Dahyotمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Digital Signal Processing
• +۴ مورد دیگر

Rozenn Dahyot is a Professor of Computer Science at Maynooth University within the Faculty of Science & Engineering. She previously held roles as Assistant and Associate Professor in Statistics at Trinity College Dublin (2008-2021) and Lecturer in Computer Science (2005-2008). Her research interests bridge Digital Signal Processing, Computer Vision, Machine Learning, and Statistical Analysis. She organized the European Signal Processing Conference (EUSIPCO2021) in Dublin and served as President of the Irish Pattern Recognition and Classification Society (IPRCS) from 2014-2020. Her work spans topics like semantic scene understanding, CNN compression, and medical image segmentation. Key contributions include advancements in graph-based image analysis, reinforcement learning optimization, and AI-driven systems for disaster management. Dahyot is a member of IEEE, ACM, and EURASIP, contributing to both academic and industrial collaborations.

Ananth Gramaمشاهده پروفایل

استاد

• Parallel Computing
• Distributed Systems
• Machine Learning
• +۷ مورد دیگر

Ananth Grama is the Samuel D. Conte Distinguished Professor of Computer Science and Associate Director of the Center for Science of Information at Purdue University. He holds a faculty position in the Department of Computer Science, College of Science. His research focuses on parallel computing, distributed systems, machine learning, and their applications in complex systems such as materials modeling and clinical analytics. He teaches advanced courses like CS525 (Parallel Computing) and CS314 (Numerical Methods). Research interests span parallel algorithms, fault-tolerant learning, quantum machine learning, and data-driven healthcare analytics. Recent work addresses fundamental limits of generative models, online learning under noisy conditions, and clinical outcome predictions. His projects include DOE-funded research on critical element recovery and NIH grants for hearing assessment technologies. Notable contributions include over 50 peer-reviewed publications since 2022, with recent papers appearing at ICLR, NeurIPS, and ICML. Current postdocs include Changlong Wu (collaborating with Wojciech Szpankowski) and Luopin Wang (with Nadia Atallah). He advises seven graduate students and oversees multidisciplinary research teams.

• Computer Security
• Cryptography
• Privacy
• +۴ مورد دیگر

Matteo Maffei is a Full Professor at TU Wien, leading the Security and Privacy group. He joined in 2017 after 11 years at Saarland University's CISPA. He holds a Ph.D. in Computer Science from Ca’ Foscari University of Venice (2006). He coordinates the TU Wien Cybersecurity Center, the SecInt Doctoral School, and the FWF Special Research Program SPyCoDe. His research focuses on formal methods for security and privacy, blockchain technologies, and web security. Roles: Full Professor, Coordinator of TU Wien Cybersecurity Center, Module Head of Christian Doppler Lab for Blockchain Technologies (CDL-BOT), Board Member of Vienna Cybersecurity and Privacy Research Cluster (ViSP). His work emphasizes formal verification of cryptographic protocols, smart contracts, and decentralized systems. Key achievements include ERC Advanced (2024) and Consolidator (2018) Grants, and leadership roles in conferences like IEEE Computer Security Foundations Symposium (CSF). Research Interests: Formal methods, smart contracts, blockchain scalability, web security, privacy-preserving protocols, and decentralized systems. His recent projects include optimizing Lightning Network channels, secure multi-hop payments, and AI-driven robustness verification. Publications: Over 200 publications in top venues like CCS, IEEE S&P, and CRYPTO. Recent work includes advancements in blockchain interoperability (e.g., Alba bridges), light client protocols (Blink), and neural network verification techniques. Grants & Awards: ERC Advanced Grant (2024), ERC Consolidator Grant (2018), DFG Emmy Noether Fellowship (2009). Led projects funded by EU Horizon, FWF, and industry partners like ABC Research GmbH. Advising & Labs: Supervised over 20 PhD/Master theses. Active in the Christian Doppler Lab for Blockchain Technologies and the SPyCoDe SFB. Collaborates with institutions like SBA Research and Stanford University.

Nicole Metjeمشاهده پروفایل

استاد

• Quantum Sensing
• Geotechnical Engineering
• Infrastructure Monitoring
• +۴ مورد دیگر

Professor Nicole Metje is a Professor of Infrastructure Monitoring at the Department of Civil Engineering, University of Birmingham, and Director of the National Buried Infrastructure Facility. She also serves as Co-director of the Institute of Quantum Technology. Her research focuses on quantum sensing, geotechnical engineering, and infrastructure monitoring, with a particular emphasis on buried infrastructure detection and sustainable urban development. Education: PhD in Civil Engineering (University of Birmingham, 2001); Dipl.-Ing. in Civil Engineering (Hannover University, Germany, 1998). Key roles and affiliations include membership in EPSRC Infrastructure Strategic Advisory Team, Chartered Institution of Civil Engineering Surveyors, and international advisory boards for Hong Kong Polytechnic University. She has authored/co-authored over 50 journal papers and a textbook on tunnel construction. Research areas include quantum sensor applications for buried asset detection, geophysical soil properties, and sensor development for infrastructure monitoring. She leads projects such as UKCRIC National Buried Infrastructure Facility and Quantum Technology Hub in Sensors and Metrology. Awards and fellowships include FICE, FCInstCES, CEng, FHEA, and multiple committee memberships in national/international bodies. Teaching includes MSc courses on underground construction and geotechnical engineering. She supervises doctoral research on quantum sensors, soil-structure interactions, and sustainable infrastructure.

Paolo Tonellaمشاهده پروفایل

استاد

• Software Engineering
• Software Testing and Analysis
• Web Engineering
• +۴ مورد دیگر

Paolo Tonella is a Full Professor and Director of the Software Institute at the Faculty of Informatics, Università della Svizzera italiana (USI) in Lugano, Switzerland. He also holds an Honorary Professorship at University College London (UK) and previously led the Software Engineering group at Fondazione Bruno Kessler (Italy). His research focuses on software testing, analysis, and AI-driven systems. He has authored over 200 peer-reviewed papers and 100 journal articles, with an H-index of 72. He teaches courses in Data and Software Engineering and Informatics, including Information Modeling, Probability & Statistics, and Knowledge Search. Key contributions include foundational work on web application testing (ICSE MIP award), evolutionary testing techniques (eToc/EvoSuite tools), and reverse engineering of object-oriented systems. He led the ERC-funded PRECRIME project on anticipatory testing. His recent work addresses AI dependability, autonomous systems testing, and deep learning fault analysis. Scientific awards include the ICSE MIP Award (2001) and ERC Advanced Grant (2018). He has served on editorial boards for major journals like IEEE Transactions on Software Engineering and ACM TOSEM. Current roles include leadership in the Software Institute and organizing the SIESTA summer school.

Ivan Flechaisمشاهده پروفایل

دانشیار

• Security Engineering
• Human-Computer Interaction
• Usable Security
• +۳ مورد دیگر

Ivan Flechais is an Associate Professor in Software Engineering at the Department of Computer Science, University of Oxford. His work focuses on the intersection of security engineering and human factors, developing approaches that balance technical security requirements with usability considerations in real-world contexts. Dr. Flechais earned his BSc and PhD in Computer Science from University College London. He holds dual French-British nationality and was educated in France until university level. His academic journey reflects an international perspective that informs his research on security systems across different cultural contexts. Flechais's research centers on developing methods for creating secure systems that account for real-world usability constraints. His work addresses the complex challenge where security competes with other system requirements like functionality, usability, and efficiency. He is particularly known for developing the AEGIS design methodology, which provides a cost-effective approach to security design that incorporates usability considerations. His current research explores socio-organizational factors in secure systems design, with recent work focusing on smart home security and privacy, remote work security challenges, and the intersection of security culture with technical implementation. His publication record shows a strong trajectory in usable security research, with recent work (2020-2024) increasingly focused on smart home environments, privacy in domestic settings, and the security challenges of remote work. His research demonstrates consistent attention to the human element in security systems, examining how users interact with security mechanisms in real-world contexts across different cultural settings and technological domains. Smart home security and privacy challenges User experience of security mechanisms Socio-organizational aspects of security implementation Cross-cultural security and privacy considerations Security for distributed and remote work environments Dr. Flechais has supervised numerous PhD and Master's students, including Sarah Alromaih, Varad Vishwarupe, George Chalhoub, and Martin J. Kraemer, among others. His supervision work often focuses on the practical application of security principles in emerging technologies, with students frequently examining security challenges in smart homes, IoT devices, and remote work contexts. His research has been supported through various projects including webinos and Sponstaneous Security, which address security challenges in distributed mobile applications and ad-hoc network environments.

Masood Masoodianمشاهده پروفایل

دانشیار

• Interactive Visualization
• Design Thinking
• Health Informatics
• +۳ مورد دیگر

Masood Masoodian is an Associate Professor in the Department of Art and Media at Aalto University, Finland. He leads the Visual Communication Design research group, focusing on interactive visualization for health, energy, and sustainability contexts. Previously, he held roles at the University of Waikato (2000-2016), University of Southern Denmark, and Massey University. Education: Doctoral degree in Other disciplines from the University of Waikato (1999) Research interests include design thinking, visualization of complex data, and creative aging interventions. Notable projects include the EU-funded INT-ACT initiative (2024-2026) addressing intangible cultural heritage. He has received an award for collaborative work on video game ludonarrative analysis (2019). Recent activities include organizing workshops on map-based interfaces, co-creating cultural heritage methods, and delivering public talks on digital design. Supervised two theses and contributed to 131 peer-reviewed outputs, emphasizing human-centered design and sustainability. Grants: Principal investigator for multiple EU projects totaling over 3 years of active funding. Awards: Prize for 'Comedy in the Ludonarrative of Video Games' (2019). Labs/Teams: Visual Communication Design group, collaborating internationally on projects like INT-ACT's cultural heritage mapping.

Kyle C. Haleمشاهده پروفایل

دانشیار

• Operating Systems
• High-Performance Computing
• Computer Architecture
• +۴ مورد دیگر

Kyle C. Hale is an Associate Professor at Oregon State University's School of Electrical Engineering and Computer Science (College of Engineering). He holds a Ph.D. and M.S. from Northwestern University (2016, 2013) and a B.S. in Computer Science from UT Austin (2010). Prior to joining Oregon State in 2024, he served as an Associate Professor at Illinois Tech in Chicago. His research spans operating systems, high-performance computing (HPC), virtualization, computer architecture, and system security. Current work focuses on specialized system software stacks for emerging computing paradigms like memory disaggregation and parallelism optimization. He leads the HExSA Lab and collaborates with the HiPCastor group. Scientific Awards: NSF CAREER Award (2023-2028) Illinois Tech College of Computing Excellence in Research (2023) Illinois Tech College of Computing Excellence in Teaching (2021) Illinois Tech Department of Computer Science Teacher of the Year (2020) EuroSys '22 Best Artifact Award Recent Research Trends: His publications emphasize compiler techniques for memory-disaggregated systems, optimizing parallel runtimes through hardware-software integration, virtualization at fine granularities, and accelerating machine learning workloads via system-level innovations. Keywords include HPC, virtualization, parallelism, and secure execution contexts. Teaching: Courses taught include Computer Architecture (CS/ECE 472), System Security (CSP 544), Operating Systems (CS 450), and advanced topics in serverless/edge computing. He actively recruits PhD students to the HExSA Lab.

Scott Kerlinمشاهده پروفایل

مدرس ارشد

• Computer Science Education
• 3D Printing and Scanning
• Cybersecurity
• +۳ مورد دیگر

Scott Kerlin is a Senior Lecturer in the Department of Electrical Engineering and Computer Science at Oregon State University's College of Engineering. He holds an M.S. and B.S. in Computer Science from the University of North Dakota. Prior to academia, he worked at the Mayo Clinic on medical software systems and IBM as a build master for enterprise products. His career spans roles including network administrator, lab manager, and Undergraduate Director at UND. Dr. Kerlin's research focuses on bridging industry experience with academic curriculum, particularly in computer science education, project-based learning, and cybersecurity. He emphasizes practical applications of theoretical concepts, such as integrating 3D printing and scanning technologies with security systems for small satellites. His work also explores student efficacy in AI courses and scalable software project management methodologies. He has taught at multiple institutions, including the University of Minnesota and Augsburg University, and held roles at Michigan Tech as Senior Security Engineer. His 2024 Engineering+ Outstanding Teaching Award highlights his commitment to pedagogical innovation. Current projects include in-space 3D printing, solar energy systems, and cryptographic solutions for satellite communications. Key areas of contribution include: 3D printing/Scanning: Material characterization, key replication, and aerospace applications Cybersecurity: Intrusion detection, satellite communications security, and chaotic cryptosystems Educational Innovation: Active learning frameworks, PBL implementation, and student performance modeling His interdisciplinary approach connects computer science fundamentals with real-world engineering challenges, emphasizing sustainability and industry relevance in curricula.

Joshua Gessمشاهده پروفایل

دانشیار

• Thermal management
• Heat transfer
• Microelectronic cooling
• +۵ مورد دیگر

Joshua Gess is an Associate Professor in the Mechanical, Industrial, and Manufacturing Engineering department at Oregon State University's College of Engineering. He joined Oregon State in 2015 and serves as a co-principal investigator at the Enhanced Heat Transfer Laboratory, where he leads research in thermal management solutions for high-performance microelectronics. His educational background includes: PhD, Mechanical Engineering, Auburn University, 2015 MS, Mechanical Engineering, Auburn University, 2012 B.E., Mechanical Engineering, Vanderbilt University, 2005 Before academia, he worked as a mechanical engineer at SSOE Group (including consulting for Johns Manville) and Northrop Grumman where he focused on military communication equipment. Professor Gess specializes in advancing thermal management solutions for high-performance microelectronic equipment. His research spans multiple scales, examining single and two-phase heat transfer on the macro-scale with passive and active liquid immersion techniques, as well as on the micro and nano scale for complex embedded thermal management solutions. He combines fundamental heat transfer knowledge with novel experimental methods such as two-phase PIV and high-speed image capture to develop reliable and energy-efficient cooling solutions for demanding electronics systems. His publication record demonstrates a clear trajectory toward increasingly sophisticated thermal management solutions, with recent work focusing on additive manufacturing applications for cooling systems, semiconductor thermal management, and nuclear reactor cooling systems. His research has significant implications for data center energy efficiency, where even small improvements in cooling efficiency could save enormous amounts of energy that could be returned to the grid. Gess is deeply committed to mentoring graduate students, emphasizing the practical applications of engineering principles. He attributes his interest in engineering to childhood influences like the movie RoboCop and the TV series MacGyver, and finds the reality of engineering work just as gratifying as he'd imagined. He particularly values the moments when his graduate students "get it" and watching them grow with each new accomplishment. As a person with a disability himself, Gess is passionate about establishing more robust support systems for people with disabilities at Oregon State. He is working with the School of Public Health to start an adaptive sports program, with the goal of building infrastructure that allows anyone to feel welcome and pursue advanced degrees at the university.

Sascha Struweمشاهده پروفایل

پژوهشگر ارشد

• Service Innovation
• Service Design
• Value Co-Creation
• +۴ مورد دیگر

Sascha Struwe serves as a Postdoctoral Researcher at Aalborg University Business School within the Faculty of Social Sciences and Humanities, actively contributing to the International Business Research Group. Based at Fibigerstræde 11 in Aalborg Øst, Denmark, Struwe operates at the intersection of service innovation theory and business practice with international focus. Research expertise centers on service innovation , value co-creation , and digital servitization , particularly examining B2B contexts and open banking ecosystems. Work consistently explores institutional influences through German-Chinese case studies, addressing how cultural and regulatory frameworks shape service design. Recent trajectories reveal evolution from foundational service design challenges (2019-2021) toward digital transformation implications (2022-2023), with emphasis on value co-destruction mechanisms in financial ecosystems. Struwe led the PhD project Innovating the Invisible and Intangible: Value Creation in B2B service (2018-2021) investigating co-creation capabilities across industrial sectors. Academic engagement includes conference participation at EIBA and CICALICS events, plus a visiting researcher appointment at Fudan University's Nordic Centre (2019-2020). Current work continues through the International Business Research Group, focusing on digital literacies and service ecosystem resilience.

Mike Kirbyمشاهده پروفایل

استاد

• Scientific Computing
• Physics-Informed Machine Learning
• Computational Science and Engineering
• +۴ مورد دیگر

Mike Kirby is a Professor at the Kahlert School of Computing, University of Utah. He also holds adjunct professorships in the Department of Bioengineering and the Department of Mathematics. His current roles include leadership in scientific computing and informatics initiatives, including former directorships of the Utah Informatics Initiative (2019-2023) and the Multi-Scale Multidisciplinary Modeling of Electronic Materials (MSME) Collaborative Research Alliance (2016-2022). He has extensive experience in strategic research initiatives, including serving as Assistant Vice President for Research (2024-2025). Education: Dr. Kirby earned a PhD in Applied Mathematics (2002) and MS in Computer Science (2001) from Brown University, and a BS in Applied Mathematics and Computer Science from Florida State University (1997). Research Interests: Focus on large-scale scientific computing, physics-informed machine learning, computational science and engineering, high-order numerical methods, and visualization. His work bridges applied mathematics and computer science to address real-world engineering challenges. Publications: Over 150 peer-reviewed articles, including high-impact contributions in journals like Journal of Computational Physics and SIAM Journal on Scientific Computing . Recent work emphasizes machine learning for differential equations, topology optimization under uncertainty, and multi-fidelity modeling. Awards: Recognized for leadership in computational science and informatics, including contributions to University of Utah’s Clery Compliance Program. Advising & Grants: Supervised over 50 graduate students and postdocs. Secured funding from NSF, DOE, and industry partnerships, totaling millions in research grants. Active in interdisciplinary collaborations across engineering, materials science, and medicine. Labs/Teams: Scientific Computing and Imaging (SCI) Institute, Utah Informatics Initiative, and the Center for Multiscale Modeling of Electronic Materials (MSME).

Beth St. Jeanمشاهده پروفایل

دانشیار

• Health Informatics
• Health Justice
• Consumer Health Information Behavior
• +۳ مورد دیگر

Beth St. Jean is an Associate Professor and Faculty Director of the Carillon Community in Health Justice at the University of Maryland’s College of Information Studies (College Park). She holds a PhD and MS in Information from the University of Michigan School of Information and a BA in Mathematics from Smith College. Her research focuses on improving health outcomes through understanding health-related information behaviors, health literacy, and self-efficacy. She co-authored Understanding Human Information Behavior (2021) and leads projects like HackHealth to enhance youth health literacy. Education: PhD in Information, University of Michigan School of Information (2012) MS in Information (LIS), University of Michigan School of Information (2006) BA in Mathematics, Smith College (1988) Research Interests: Health informatics, health justice, consumer health information behavior, health literacy, youth digital practices, and information literacy. Her work emphasizes addressing health disparities through information access and education. Recent Research Trends: Her publications explore topics like long-haulers’ information needs (2024), pandemic-era health justice (2023), and social media’s role in predicting health disparities (2022). She also investigates patient-generated health data challenges (2022) and library roles in promoting health equity (2020). Awards and Recognition: ASIS&T SIG-USE Innovation Award (2017) ACM SIGCHI Excellent Reviewer (2017) ALISE/LMC Paper Award (2015) Beta Phi Mu/LRRT Research Award (2014) Teaching and Grants: Teaches courses on information behavior, research methods, and consumer health informatics. Co-PI on grants like HackHealth 2.0 (NIH, $123K) and youth health literacy initiatives ($68.5K). Also serves as Assistant Director of the Information Policy & Access Center and Senior Fellow at CASCI. Labs and Initiatives: Leads the Carillon Community in Health Justice and collaborates on projects like the HackHealth after-school program to engage disadvantaged youth in health entrepreneurship.

Ninette Pilegaardمشاهده پروفایل

استاد

• Transportation Policy
• Road Charging Systems
• Bicycle Infrastructure
• +۶ مورد دیگر

Ninette Pilegaard is a Professor and serves as Deputy Head of Division and Head of Section for Transport Policy at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). Her academic career spans multiple research domains with significant contributions to transportation policy and economics. Her research interests focus on transportation policy analysis with particular expertise in: Road charging systems and pricing mechanisms Bicycle infrastructure and safety analysis Commuting behavior and accessibility impacts Car ownership and usage patterns Relationship between transportation accessibility and labor market outcomes Dr. Pilegaard's scholarly work demonstrates a strong empirical approach combining transportation engineering with economic analysis. Her recent publications reveal a consistent focus on evidence-based policy evaluation, particularly in the Danish context. She frequently employs quasi-natural experimental methods to assess transportation policy impacts, with particular attention to road pricing, cycling infrastructure, and the economic implications of transportation systems. Her research has been supported by major funding bodies including Innovation Fund Denmark and Forskningsrådsfinansiering, and has resulted in publications in high-impact transportation journals such as Transportation Research Parts A and D, and Journal of Safety Research. As an academic supervisor, Dr. Pilegaard has served as Main Supervisor for PhD projects, including the 'Productivity and agglomeration' project. She has been actively involved in numerous research collaborations both within DTU and with external partners. Her laboratory work focuses on transportation data analysis, particularly utilizing Danish transportation datasets to examine policy impacts. She has developed expertise in analyzing hospital data for traffic safety research and has contributed to methodologies for assessing infrastructure effects on traffic accidents.