جستجوی استاد راهنمای دانشگاهی

Maja J Matarićمشاهده پروفایل

استاد

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +۷ مورد دیگر

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

Guy-Vincent Jourdanمشاهده پروفایل

استاد

• Software Security
• Cybersecurity
• Distributed Systems
• +۶ مورد دیگر

Professor Guy-Vincent Jourdan is affiliated with the School of Electrical Engineering and Computer Science at the University of Ottawa. He holds a Ph.D. from Université de Rennes/INRIA (France, 1995) focusing on distributed systems analysis. Prior to academia, he served as CTO and CEO of Decision Academic Graphics, an Ottawa-based firm. His research interests span software security, cybersecurity (including cybercrime prevention), distributed systems modeling, formal methods, mobile applications, and rich internet applications. Specific technical emphases include phishing detection systems, blockchain fraud analysis, and adversarial machine learning. Professor Jourdan has pioneered tools like D-ForenRIA for reconstructing user interactions in Rich Internet Applications and contributed to cybersecurity frameworks such as HEART for log anomaly detection. His work integrates machine learning techniques with domain-specific challenges in network security and software verification. His publications (2023-2025) reflect advancements in AI-driven vulnerability analysis, blockchain fraud detection, and automated phishing detection systems. Notable projects include SV-TrustEval-C for source code vulnerability analysis and Intellitweet for social media threat detection. While no scientific awards are explicitly listed, his prolific publication record and industry-academia transition highlight sustained contributions to computer science and cybersecurity domains.

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance of Commons
• Complex Systems
• +۵ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.

Iosif-Viorel Onutمشاهده پروفایل

استاد مدعو

• Cryptography
• Computer and Network Security
• Privacy Technologies
• +۵ مورد دیگر

Iosif-Viorel Onut is an Adjunct Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, and Senior Manager of R&D Strategy at IBM's Center for Advanced Studies. He co-directs the UOttawa Cyber Range, focusing on cybersecurity innovation. Doctor of Philosophy in Computer Science, University of New Brunswick (2008) Master of Science in Computer Science, Technical University of Cluj-Napoca (2003) Bachelor of Engineering in Computer Science, Technical University of Cluj-Napoca (2002) His research spans Cryptography , Computer and Network Security , Privacy Technologies , and Vulnerability Research , with emphasis on phishing detection, malware analysis, and threat intelligence generation. Recent publications highlight trends in semantic-based phishing detection and cryptocurrency scam analysis. Onut has led over 150 research projects involving 35 universities, 90 professors, 360 students, and 330 IBM staff. His work bridges academic research with industry applications in cybersecurity.

Gefei Zhangمشاهده پروفایل

استاد

• Data Science
• Software Engineering
• Model-Driven Software Development
• +۳ مورد دیگر

Prof. Dr. Gefei Zhang is a Professor of Media Informatics at HTW Berlin. He holds a Master’s and PhD from Ludwig-Maximilians-Universität München (LMU). His research focuses on Data Science and Software Engineering, with expertise in aspect-oriented modeling, UML state machines, and model-driven development. He teaches software and data science courses and previously contributed to the Programming and Software Engineering Group (PST) at LMU, now part of the Software and Computational Systems Lab (SoSy). Research interests include aspect-oriented programming, web engineering, and adaptive systems. He has published extensively on topics like UML state machines, software metrics, and HiLA framework applications. Awards include the Best Paper Award at AOM@MoDELS'09. Office hours are by appointment. His work bridges academic research and industry, with past roles in software development for large-scale web applications. Collaborations and grants are part of his ongoing contributions to computer science education and innovation.

• Software Engineering
• Web Application Development
• End-User Development
• +۵ مورد دیگر

Christopher Vinod D'Souza is a past researcher focusing on software engineering, web application development, and educational strategies in computing. His work emphasizes end-user development, UI/UX design, and rich internet applications. He has contributed to accessibility control systems, data-intensive web applications, and pedagogical methods for introductory programming courses. His research spans technical domains like automated code generation from mockups, secure access control frameworks, and MVC architecture optimizations. Notably, he has explored modeling languages for UI evolution and strategies to enhance student engagement in multicultural educational settings. Publications include studies on web application scaffolding, visual modeling tools, and architecture patterns for separation of concerns. Despite no listed awards or current institutional affiliation, his work bridges practical software engineering challenges with educational innovation. Christopher has collaborated with institutions on projects involving end-user development tools and strategic approaches to multicultural student needs in higher education.

Qizhi Daiمشاهده پروفایل

دانشیار

• Information Systems
• Management Information Systems (MIS)
• E-Commerce
• +۷ مورد دیگر

Qizhi Dai is an Associate Professor in the Department of Decision Sciences and Management Information Systems at LeBow College of Business, Drexel University. She earned her Ph.D. in MIS from the University of Minnesota and has established herself as a leading scholar in information systems, particularly in the business value of IT, digital platforms, and e-commerce. Ph.D. in Management Information Systems – University of Minnesota Her research focuses on the strategic and economic implications of information technology, including IT platform modularity, standardization, shared services, and telemedicine adoption. She explores how digital innovations create value for firms and influence user behavior in evolving digital ecosystems. Her work integrates behavioral, economic, and technical perspectives to understand complex IT phenomena. Her recent publications reflect a strong trend toward digital transformation, platform economics, and healthcare IT. She investigates how modularity enhances network effects, how shared financial services impact profitability, and how trust issues drive transitions to telemedicine. These studies span disciplines such as information systems, behavioral science, and healthcare management, demonstrating interdisciplinary depth. She has received notable recognition for her research, including: 2009 Best Paper Runner-Up Award (The Eighth Workshop on eBusiness) 2003 Best Doctoral Research Presentation Award (University of Minnesota) 1999 Best Paper Award (Workshop on Information Technologies and Systems) Dr. Dai has served as an Associate Editor for Electronic Commerce Research and Applications and Information Technology and Management , and as a reviewer for top journals like Information Systems Research and Journal of Management Information Systems . She was program co-chair for the 16th International Conference on Electronic Commerce in 2014. While specific grant details are not listed, her sustained publication record and editorial roles indicate active research funding and mentorship of students. She is also involved in several academic service roles, contributing to the advancement of the MIS field. She has presented her research at major conferences including AMCIS, INFORMS, and ECIS, and is actively engaged in evolving research areas such as digital product development (e.g., Power BI case study) and evolutionary competition in platform ecosystems.

Ivan Kolev Koichevمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۲ مورد دیگر

Ivan Kolev Koichev is a Professor at the Department of Software Technologies within the Faculty of Mathematics and Informatics at Sofia University 'St Kliment Ohridski'. He serves as the Director of the MSc program in Information Retrieval and Knowledge Discovery and Head of the Department of Software Technologies Education. His research spans Artificial Intelligence, Machine Learning, Natural Language Processing, and Information Retrieval. MSc in Applied Mathematics (1988), Sofia University PhD in Computer Science (1998), Bulgarian Academy of Sciences Postdoc Fellowships at GMD Germany (1999-2002) and Robert Gordon University UK (2002-2005) His work focuses on adaptive learning systems, fact-checking, author obfuscation, and community question-answering frameworks. Key publications address concept drift adaptation, political debate analysis, image claim verification, and credible news detection. He collaborates extensively with researchers like Preslav Nakov and Momchil Hardalov. He has contributed to SemEval-2016 Task 3 and developed the LEAF multiple-choice question generation system. His research integrates linguistic analysis, credibility assessment, and algorithmic innovation across multidisciplinary domains.

Rich Boakesمشاهده پروفایل

استاد

• Distributed Systems
• Semantic Web Technologies
• Web APIs
• +۳ مورد دیگر

Dr. Rich Boakes serves as Associate Head (Infrastructure and Resource) at the University of Portsmouth , affiliated with the Faculty of Technology and School of Computing . His research focuses on distributed systems , semantic web technologies , and web API evolution . Current projects include Portsmouth AI and Data Science Centre Available at Rich.Boakes@port.ac.uk Research interests center on systemic change through disruptive technologies , with special attention to data unification challenges across heterogeneous systems. Academic output trends show emphasis on: 2014 API standardization work 2018 accessibility applications of augmented reality 2004-2008 semantic web foundations 2014 civic technology (bike data logging) As faculty member since at least 2004, he has supervised 3 theses and contributed to multiple peer-reviewed publications.

• High-performance computer architectures
• Cloud-computing systems
• Internet-of-Things (IoT)
• +۷ مورد دیگر

Panayiotis D. Tsanakas is a Professor of Computer Engineering at the National Technical University of Athens (NTUA), serving in the School of Electrical and Computer Engineering within the Department of Information Technology and Computers. Since 2023, he has held the position of Dean of the School of Electrical and Computer Engineering at NTUA. His academic career spans several decades with significant contributions to computer engineering and informatics. His educational background includes a Dipl. in Electrical Engineering from Aristotle University of Thessaloniki (1982), an MSc in Computer Engineering from Ohio University (1985), and a PhD in Computer Engineering from National Technical University of Athens (1988). Tsanakas specializes in high-performance computer architectures, cloud-computing systems, Internet-of-Things (IoT), and AI-based applications in medicine and biology. His research spans parallel and distributed processing, computer architecture, supercomputing applications, and biomedical engineering. He has published over 100 research papers in established scientific journals and conferences, with recent work focusing on AI applications in healthcare, cloud computing security, and advanced medical monitoring systems. His recent publications demonstrate a strong trend toward applying artificial intelligence to healthcare challenges, particularly in mental health monitoring, medical imaging, and biomedical diagnostics. His work frequently combines computer architecture expertise with medical applications, creating innovative solutions for healthcare challenges. 2023-now: Dean of the School of Electrical and Computer Engineering at NTUA 2018-2020: Board member of the EuroHPC Joint Undertaking 2004-2019: Chairman of GRNET, the national research and education network 2005-2009: Member of EETT (The Hellenic Electronic Communications and Posts Regulator) Tsanakas has supervised eight doctoral dissertations and more than 50 diploma theses. He has co-authored seven textbooks on computer systems that have been adopted by several higher-education institutions. His professional experience includes significant roles in national infrastructure development, including leading the design and deployment of advanced networking and cloud services for Greek academic institutions and healthcare facilities.

Ramandeep Kaur Sandhuمشاهده پروفایل

استادیار

• Information Security and Privacy
• Virtual Communication Media
• Blockchain
• +۱ مورد دیگر

Ramandeep Kaur Sandhu serves as an Assistant Professor of Management Information Systems within the Department of Decision and Information Sciences at the School of Business Administration, Oakland University, Rochester, Michigan, with her office located in Elliott Hall, Room 338B. Her educational background spans multiple continents and disciplines: Ph.D. in Information Systems from Virginia Commonwealth University, United States Master of Economics from Guru Nanak Dev University, India Master of International Business from Aston University, United Kingdom Master of Computers and Information Systems Security (CISS) from Virginia Commonwealth University, United States Dr. Sandhu's research centers on Information Security and Privacy, Virtual Communication Media (including Video Conferencing, Virtual and Mixed Reality), Blockchain technologies, and Ontology development. Her scholarly work targets enhancing security and interoperability in collaborative digital environments through disruptive technologies, with particular emphasis on privacy-sensitive collaboration systems and blockchain-based health information exchange. She actively investigates media synchronicity in professional communication contexts and develops novel frameworks for secure information sharing. Analysis of her publication trajectory (2016-2025) reveals three dominant research streams: video conferencing applications and media synchronicity (2019-2023), blockchain implementations for health information exchange and cloud federation (2018-2025), and immersive virtual reality systems (2024). Her work consistently bridges theoretical frameworks with practical security solutions, demonstrating increasing focus on blockchain-ontology hybrid approaches for healthcare systems while maintaining strong contributions to virtual collaboration media research.

Elena Gauraمشاهده پروفایل

استاد

• Cyber Physical Systems (CPS)
• Sustainable Community Energy Systems
• Internet of Things (IoT)
• +۴ مورد دیگر

Elena Gaura is a Professor and Senior Research Leader at Coventry University, serving as Associate Pro Vice-Chancellor (Research) and a member of the Senior Research Leadership Team. She holds adjunct roles at Deakin and Macquarie Universities. Her research focuses on Cyber Physical Systems (CPS), Sustainable Energy, and Ethical AI, addressing humanitarian challenges in energy access across global regions. She leads high-impact projects like HEED (Humanitarian Energy for Displaced Populations) and STAR Energy (Amazon renewable systems). Education: PhD in Intelligent Sensor Systems (Coventry University, 2000), Degree in Applied Electronics (Technical University of Cluj-Napoca, 1991). Research Interests: Sustainable Community Energy Systems, IoT in infrastructure-rich/poor environments, AI ethics in socio-technical systems. She advocates for gender equality in engineering through leadership roles in the Women’s Engineering Society and international capacity-building programs. Key Contributions: Over 140 publications, 20+ projects funded by EPSRC, Innovate UK, and EC. Her work spans 6 continents, prioritizing energy equity and climate resilience. Recognized with awards like Top50 Engineering Heroes (2021) and Coventry University’s International Women’s Day Award (2018). Grants & Leadership: Led £multi-million initiatives including the Energy Revolution Research Consortium. Supervised 20+ PhD students, fostering diverse talent in STEM. Serves on EPSRC Peer Review College and UKRI Future Leaders Fellowships panels. Labs & Teams: Leads Coventry’s Research Centre for Computational Science and Mathematical Modelling. Collaborates internationally on CPS, energy systems, and sensor technologies through networks like the Sensors CDT (Cambridge).

• Second Language Acquisition
• Audiovisual Translation Studies
• Critical Discourse Analysis
• +۳ مورد دیگر

Lisa-Christine Altendorf is a Researcher and PhD student in Linguistics at the University of Bonn, Germany. She is supervised by Prof. Dr. Fuchs in the field of second language acquisition. Her work focuses on the intersection of language, technology, and communication, with research interests spanning Audiovisual Translation Studies, Critical Discourse Analysis, Language on Social Media, and Computer Mediated Communication. Education: Since 2022: PhD in Applied Linguistics, University of Bonn 2019-2022: M.A. in Applied Linguistics, University of Bonn 2016-2019: B.A. in English and German Studies, University of Bonn Her research explores how informal digital exposure impacts lexical competence in German learners of English, with a focus on extramural online activities and their effects on language acquisition. She has presented at conferences such as the EuroSLA34, ICAME46, and the Anéla/VIOT Juniorendag, earning the 2023 Anéla/VIOT Poster Prize for her work on extramural activities and language use. Teaching contributions include courses on Methods in Applied Linguistics and Second Language Learning and the Media. Her interdisciplinary approach bridges sociolinguistics, computational linguistics, and educational research, emphasizing real-world applications of linguistic theory.

Raul Mondragonمشاهده پروفایل

مدرس ارشد

• Complex Networks
• Network Science
• Telecommunications
• +۳ مورد دیگر

Dr. Raul Mondragon is a Senior Lecturer in the School of Electronic Engineering and Computer Science at Queen Mary University of London. He holds an MSc and PhD, and is a Senior Member of the IEEE (SMIEEE). His research focuses on complex network analysis, including topics like network cores, rich-club phenomena, and applications in telecommunications and social media platforms. He has contributed to understanding internet topology, network robustness, and Web3 technologies. He teaches modules on analogue electronics and network security, and has supervised interdisciplinary PhD students in areas such as energy-efficient networks and dynamical modeling. His work includes grants like the EPSRC-funded RAVEN project (2010-2013) on complex energy networks. Mondragon is affiliated with the Centre for Networks, Communications and Systems, where he explores network science applications in diverse domains. Affiliations: School of Electronic Engineering and Computer Science, Centre for Networks, Communications and Systems Education: PhD and MSc (specific fields and institutions not explicitly stated) Research Interests: Dr. Mondragon’s work spans theoretical and applied network science. He investigates structural properties of networks (e.g., rich-club effects, core-periphery organization) and their implications for system resilience. His research applies to telecommunications, social media, and ecological systems. Notable contributions include analyzing cryptocurrency transaction networks, Web3 platform moderation, and drought impacts on food web structures. Teaching: Dr. Mondragon instructs undergraduate courses on analogue electronics and postgraduate/undergraduate modules on network security and authentication principles. His teaching emphasizes foundational circuit theory and cryptographic techniques for secure communications. Grants: Principal Investigator (PI) for the EPSRC RAVEN project (£355,446), focusing on complex energy networks’ resilience and adaptability. Students: Supervised PhD candidates include Mr. Iftekharul Mobin (energy-efficient ad-hoc networks), Mr. Sabri Zaman (functional topology), and interdisciplinary students like Mr. Gibson Ikoro (chat room dynamics) and Mr. Massimo Cavallaro (stochastic processes). Labs/Teams: Active in the Centre for Networks, Communications and Systems, collaborating on projects involving network modeling, social media analysis, and interdisciplinary applications.

• Philosophy of Literature
• Aesthetics
• Interpretation Theory
• +۴ مورد دیگر

William Irwin is a prominent philosophy professor at King's College in Pennsylvania, specializing in the intersection of philosophy and popular culture. He has pioneered the academic exploration of philosophical themes in television shows, movies, comic books, and other forms of popular media, making complex philosophical concepts accessible to broader audiences. Dr. Irwin's work bridges continental and analytic philosophy, with particular emphasis on interpretation theory, aesthetics, and existentialism. His scholarship demonstrates deep expertise in multiple philosophical traditions while maintaining accessibility for non-specialist readers. Irwin's research primarily focuses on philosophical interpretation, intentionalism in literary theory, and the application of philosophical frameworks to popular culture. He has been instrumental in establishing 'philosophy and pop culture' as a legitimate academic subfield, demonstrating how television shows like The Simpsons , Seinfeld , and Heroes , as well as films from The Matrix to Mad Max , contain rich philosophical content worthy of scholarly analysis. His work argues that popular culture isn't merely entertainment but a valuable medium for exploring fundamental philosophical questions about ethics, metaphysics, and the human condition. His publications reveal a consistent interest in authorial intention, interpretation theory, and the philosophy of literature. More recently, his work has expanded to examine philosophical dimensions of newer media like video games ( BioShock ) and streaming content ( Black Mirror ), demonstrating the evolving nature of his scholarly inquiry. Defended intentionalist interpretation in 'Intentionalist interpretation: a philosophical explanation and defense' (1999) Advanced extreme actual intentionalism in 'Authorial Declaration and Extreme Actual Intentionalism: Is Dumbledore Gay?' (2015) Developed unique philosophical perspective in 'The Free Market Existentialist' (2015) Dr. Irwin has been a strong advocate for public philosophy, arguing in works like 'Writing for the Reader' (2014) and 'Fancy taking a pop?' (2010) that philosophers have a responsibility to make their work accessible beyond academic circles. He contends that popular philosophy doesn't have to be 'dumbed down' but can maintain intellectual rigor while reaching broader audiences.