جست‌وجوی استاد و پژوهشگر

Sanjay G. Raoمشاهده پروفایل

استاد

• Network Synthesis and Design
• Internet Video Distribution
• Computer Networking
• +۳ مورد دیگر

Sanjay G. Rao is a Professor in the School of Electrical and Computer Engineering at Purdue University, with a courtesy appointment in Computer Science. He joined Purdue in 2005 and has held positions as Assistant, Associate, and full Professor since then. His research focuses on network synthesis, verification, and Internet video distribution. He has been recognized with the NSF CAREER Award and ACM SIGMETRICS Test of Time Award for his foundational work on End System Multicast. Education: B.Tech in Computer Science and Engineering, Indian Institute of Technology, Madras (1997) M.S. and Ph.D. in Computer Science, Carnegie Mellon University (2000, 2004) Research Interests: His work spans network design and verification, Internet video distribution, and cloud computing. Recent projects include causal reasoning for video streaming, 360° video optimization, and resilient routing algorithms. He leads the Internet Systems Laboratory at Purdue, which develops systems for network performance guarantees and video delivery innovations. Articles Trends: Recent work emphasizes causal inference in video streaming (e.g., Veritas) and perceptual quality for next-generation video (e.g., Dragonfly). Longstanding focus on network synthesis: PCF (2020) and Robust Validation (2017) address resilient design under uncertainty. Early contributions like End System Multicast (2002) pioneered peer-to-peer video streaming. Awards: NSF CAREER Award (2010) ACM SIGMETRICS Test of Time Award (2011) ACM Distinguished Member (2021) Purdue Seed of Success Award (2017) Advising & Grants: Supervised 15+ PhD students, many now in academia and industry (e.g., Meta, Google, AT&T). Secured $4M+ in grants from NSF, industry (Google, Cisco, Amazon), and federal programs. Notable grants include NSF support for video optimization (2022-2025) and network synthesis (2023-2027). Labs & Teams: Internet Systems Laboratory (ISL): Focuses on scalable network solutions and video streaming. Collaborations with industry (e.g., Amazon Prime Video, Meta) on real-world deployment challenges.

Bhagavatula Srutiمشاهده پروفایل

استادیار

• Security
• Privacy
• Social Networks
• +۳ مورد دیگر

Sruti Bhagavatula is an Assistant Professor of Instruction in the Department of Computer Science at Northwestern University's McCormick School of Engineering. She leads the Computer Science Research Track Program for undergraduates and teaches courses such as Data Structures and Algorithms, Foundations of Security, and Data Privacy. Her research focuses on security, privacy, human-computer interaction, and CS education innovation. Education: PhD and MS in Computer Science from Carnegie Mellon University (2021), BS in Computer Science from University of Illinois at Chicago (2014). Industry experience includes roles at Amazon, MIT Lincoln Laboratories, and Microsoft Research India. Research interests include cybersecurity education, privacy in IoT/smart devices, adversarial machine learning, and improving security advice dissemination through social media. She has received awards for curriculum innovation and was recognized as an EECS Rising Star in 2020. Advising: Actively mentors undergraduate and high school students in security/privacy research. Collaborates on grants related to expanding participation in computing sciences. Labs/Teams: Runs the CS Research Track Program which provides early research exposure to undergraduates, fostering diverse participation in computational fields.

Sebastián Ferradaمشاهده پروفایل

استادیار

• Knowledge Graphs
• Graph Databases
• Multimedia Databases
• +۳ مورد دیگر

Sebastián Ferrada is an Assistant Professor at the Data & Artificial Intelligence Initiative of Universidad de Chile. He also serves as Young Researcher at the Institute for Foundational Research on Data (IMFD) and Collaborating Researcher at the National Center for Artificial Intelligence Research (CENIA). His research focuses on Knowledge Graphs, with special emphasis on extraction, management, and applications for querying, browsing, and AI systems. His academic background includes: PhD in Computer Science (2021), Universidad de Chile MSc in Computer Science (2017), Universidad de Chile BEng in Computer Science (2017), Universidad de Chile Sebastián's research explores several key areas: Multimedia Databases with applications to Wikimedia Commons images Graph Databases and Knowledge Graphs construction Federated Data Management across heterogeneous RDF sources SPARQL query extensions for similarity-based operations Graph data management and compression techniques His recent publications demonstrate strong trends in knowledge graph construction, similarity-based querying, and efficient graph data management. These works combine theoretical advancements with practical implementations in real-world systems like IMGpedia and MillenniumDB. Scientific achievements include: Best Paper Award at CoopIS 2023 Best Demonstration Award runner-up at SIGMOD/PODS 2024 Best Student Paper (Resources Track) and Best Poster at ISWC 2017 First prize in CLEI 2017 for his Master's thesis Sebastián currently leads the Fondecyt project on graph data management and contributes to the U-Inicia project on AI processes in graph databases. He serves on the editorial board of Transactions on Graph Data and Knowledge.

Richard W Sharpمشاهده پروفایل

پژوهشگر ارشد

• Virtualization
• Operating Systems
• Computer Security
• +۷ مورد دیگر

Dr. Richard W Sharp is a Research Fellow at the University of Cambridge , with expertise in virtualization, computer security, and hardware synthesis. His work bridges foundational research in programming languages and practical applications in cloud computing and secure systems. BA, Computer Science (1999, Robinson College, University of Cambridge) PhD, Computer Science (2003, University of Cambridge) MBA (2012, Judge Business School) Dr. Sharp's research spans virtualization environments , operating systems , and security policy enforcement . He has pioneered techniques for network policy implementation , storage optimization , and VM migration , with a focus on heterogeneous systems and resource allocation. His publications highlight trends in functional programming applications, secure mobile computing, and hardware/software co-design. Dr. Sharp also contributes to functional programming in industrial contexts and security frameworks for web applications. Despite no formal awards listed, his work in virtualization and security synthesis remains influential.

Saba Eskandarianمشاهده پروفایل

استادیار

• Applied cryptography
• Security
• Privacy
• +۳ مورد دیگر

Saba Eskandarian is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill within the College of Arts and Sciences. Her research focuses on applied cryptography, security, and privacy with emphasis on metadata-hiding communication systems and secure messaging protocols. Her research interests span applied cryptography , security , and privacy , with particular expertise in metadata-hiding communication, secure messaging protocols, cryptographic privacy techniques, payment system security, and side-channel attack mitigation. Her work bridges theoretical cryptographic primitives with practical system implementations. Analysis of her recent publications reveals a strong trend toward practical privacy-enhancing technologies for real-world systems. Her research consistently addresses the tension between privacy guarantees and system functionality, particularly in communication systems and payment networks. She has made significant contributions to abuse reporting mechanisms in private messaging and compression side-channel vulnerabilities. Runner-up for Andreas Pfitzmann Best Student Paper Award (PETS 2021) As an advisor, she currently mentors Matthew Gregoire and has previously advised Maggie Pierce (MS 2022-24), Britney Bourassa (MS 2022-24), and Connor Bell (MS 2021-23). She serves on numerous prestigious program committees including IEEE S&P 2025, Eurocrypt 2025, PETS 2025, and ACM CCS 2023, while also providing external reviews for top security conferences.

• Satellite Communications
• Wireless Networks
• Software-Defined Networking
• +۳ مورد دیگر

Mohamed Kassem is a Research Fellow at the Computer Science Research Centre , University of Surrey. His work focuses on satellite communications, wireless networks, and spectrum management. He can be contacted at m.kassem@surrey.ac.uk . Research Interests: Kassem's research explores Low-Earth Orbit (LEO) satellite networks , software-defined networking , and TV white space utilization . His projects include simulating mega-constellations, optimizing gateway placements, and advancing backhaul systems. Article Trends: Over the past decade, his publications have addressed challenges in LEO satellite broadband, multi-connectivity in wireless networks, and innovative backhaul solutions. Key themes include network simulation , spectrum aggregation , and cost-effective infrastructure .

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.

Lokesh Saravanan Ramamoorthiمشاهده پروفایل

مدرس

• Cybersecurity
• Software Design
• Cloud Systems Security
• +۲ مورد دیگر

Lokesh Saravanan Ramamoorthi is a Lecturer in the Department of Electrical & Computer Engineering at the College of Engineering, University of Miami. His research and teaching focus on software design, cybersecurity, and cloud systems security, with a particular emphasis on single sign-on (SSO) mechanisms and their security implications. Role: Lecturer University: University of Miami School: College of Engineering Department: Electrical & Computer Engineering Research Interests: Dr. Ramamoorthi's work explores vulnerabilities in SSO environments, browser session management, and multi-objective optimization in configurable systems. He investigates the intersection of user behavior, technical implementations, and security protocols in identity management scenarios. Publication Trends: His publications demonstrate a consistent focus on SSO security challenges (2018–2020), mobile messaging application vulnerabilities (2019), and design space optimization techniques (2019). Topics span cybersecurity, software engineering, and systems architecture. Contact: Email: lokeshr@umiami.edu | Phone: (305) 284-3708

• Quality of Experience (QoE) of Internet applications
• Artificial intelligence and machine learning for communication networks
• Measurement and analytics of encrypted network traffic
• +۵ مورد دیگر

Prof. Dr. Michael Seufert is a Full Professor and Chairholder at the University of Augsburg since October 2023, leading the Chair of Networked Systems and Communication Networks within the Faculty of Applied Computer Science. Previously, he served as a Private Lecturer at the University of Würzburg and completed his Habilitation in Computer Science there in 2023. His academic journey includes a PhD in Computer Science from the University of Würzburg (2017) with a thesis on Quality of Experience and Access Network Traffic Management of HTTP Adaptive Video Streaming, which earned him two prestigious Best Dissertation Awards. His research focuses on Quality of Experience (QoE) of Internet applications, artificial intelligence and machine learning for communication networks, measurement and analytics of encrypted network traffic, and data-driven proactive user-centric network management solutions. His work bridges theoretical foundations with practical applications in network monitoring, security, and performance optimization. Recent research has increasingly incorporated machine learning techniques to address challenges in network management, traffic analysis, and user experience assessment. Prof. Seufert's publication record shows a clear evolution from foundational work on QoE modeling and HTTP adaptive streaming toward more sophisticated applications of machine learning in network operations. His recent publications (2023-2025) demonstrate a strong emphasis on practical ML applications for network monitoring, security, and optimization, with particular attention to real-world constraints and performance requirements. The research spans multiple subfields including encrypted traffic analysis, explainable AI for network management, edge computing, and quality assessment for emerging applications. CNOM Young Professional Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) (2024) Best Dissertation Award 2018 of KuVS (Communication and Distributed Systems) special interest group Best Dissertation Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) Prof. Seufert actively supervises research projects and advises students through thesis projects and practical modules. His teaching portfolio includes Communication Systems, Management of Communication Networks, Practical Introduction to Internet-Technologies, and seminars on Networked Systems. He leads a research group focused on networked systems and communication networks, with current projects exploring machine learning applications in networking, as evidenced by the organization of the 3rd International Workshop on Machine Learning in Networking (MaLeNe 2025).

• Health communication
• Digital health
• Genetic literacy
• +۵ مورد دیگر

Kimberly Kaphingst is a Professor in the Department of Communication at the University of Utah, where she has been employed since 2014. She serves as Associate Chair in her department, Co-Leader for the Cancer Control and Population Sciences Program, Research Director of the Genetic Counseling Shared Resource, and Director of Cancer Communication Research at the Huntsman Cancer Institute. ScD in Health Communication (Harvard School of Public Health) ScM in Public Health (Harvard School of Public Health) Her research spans health communication , digital health , genetic literacy , and informed consent . She investigates patient responses to cancer genetic information, develops chatbots for genomic services, and implements consent strategies for clinical trials. Recent work examines social vulnerability in genetic testing, neighborhood health literacy impacts, and medication shortage disparities. Key article trends show expertise in digital health interventions for genetic services, cancer risk communication , health disparities , and AI-powered clinical tools . Her 2025 studies focus on chatbot efficacy for at-home COVID-19 testing and improving genetic service access through EHR integration. She teaches Health Communication courses and secures significant NIH funding for population-scale genetic screening and cancer prevention projects. Her work bridges communication theory , clinical implementation , and public health policy to address structural barriers in genomic medicine.

• Broadband technologies
• Multiservice networks
• Mobile networks
• +۴ مورد دیگر

Paulo Manuel Martins Carvalho serves as Associate Professor in Computer Communications at the Department of Informatics, School of Engineering, University of Minho, Portugal. He is also a Senior Researcher at the Algoritmi research center, actively contributing to both the Computer Communications and Pervasive Media (CCPM) R&D Group and the CCN R&D Lab. Carvalho earned his Systems and Informatics Engineering degree from the University of Minho in 1991 and completed his PhD in Computer Science at the University of Kent at Canterbury in 1997. His academic journey reflects a deep commitment to network technologies and communications engineering, with continuous scholarly contributions since the early 2000s. Associate Professor, Department of Informatics, School of Engineering, University of Minho Senior Researcher, Algoritmi Research Center Member, Computer Communications and Pervasive Media (CCPM) R&D Group Member, CCN R&D Lab Scientific Coordinator, Doctoral Programme in Computer Science (MAP-i) Carvalho's research expertise spans broadband technologies, multiservice networks, mobile networks, and teletraffic analysis. His scholarly output demonstrates remarkable evolution from fundamental network theory to practical implementations in wireless sensor networks, IoT, and network monitoring systems. He has made significant methodological contributions to traffic sampling techniques and network security frameworks while maintaining relevance to contemporary technological challenges. His publication record includes 111 papers with 404 citations and an h-index of 10. Recent work (2020-2024) reveals a strategic shift toward interdisciplinary applications connecting computer science with civil engineering (pavement monitoring), environmental science (water quality assessment), and aerospace manufacturing. This diversification reflects both theoretical depth and practical problem-solving across multiple domains without compromising technical rigor. TPC Member for major international networking conferences Regular reviewer for IEEE/ACM journals Coordinator for Doctoral Programme in Computer Science (MAP-i) Contributor to Master's programs in Informatics Engineering and Networks Engineering Carvalho's laboratory work centers on the CCPM R&D Group and CCN R&D Lab at Algoritmi Research Center, where he leads research initiatives focused on network communications, pervasive media technologies, and their real-world applications. His team has developed innovative approaches to network measurement, traffic analysis, and quality of service management that have influenced both academic research and practical implementations in various industries.

David Stottsمشاهده پروفایل

استاد

• Software Engineering
• Collaborative User Interfaces
• Formal Methods
• +۴ مورد دیگر

David Stotts is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. With a Ph.D. from the University of Virginia (1985), he has held academic positions at UNC since 1992, previously serving at the University of Maryland (1985-1991) and the University of Florida (1991-1992). His affiliations include NASA Goddard Space Flight Center and NIST. Research Interests span collaborative distributed systems, formal methods in software engineering, hypermedia, and active learning pedagogy for programming education. He pioneered the Trellis hypermedia system and the Bricks teaching platform for introductory programming, focusing on concurrent computation models and educational technology. Publications emphasize interdisciplinary applications of software engineering in bioinformatics, environmental science, and assistive technologies, with a strong focus on collaborative interfaces and formal verification. His work includes over 50 refereed publications and book chapters. Honors include the i3@UNC Fellowship for instructional innovation, Best Paper Award at XP/Agile Universe 2004, and memberships in Tau Beta Pi and Phi Beta Kappa. He secured over $4.2 million in research grants from NSF, EPA, DARPA, IBM, and other agencies. Teaching highlights include leading team-based software development courses (COMP 523) and advanced programming seminars (COMP 590). He has supervised 24 graduate students across UNC, University of Maryland, and University of Florida, covering topics like collaborative hypermedia, software process modeling, and assistive technologies.

• Multimedia Communications
• Quality of Service/Experience/Life (QoS/QoE/QoL) Management
• 5G-IoT Communications
• +۳ مورد دیگر

Prof. Jasmina Baraković Husić is a Full Professor at the University of Sarajevo, Faculty of Electrical Engineering , while also serving as a specialist at the Department for Planning and Development of Technologies and Services in BH Telecom, Sarajevo. Her academic career spans over 15 years of research leadership in multimedia networks, quality management frameworks, and 5G-IoT communications. Principal Investigator for international projects (NATO, Erasmus+, COST actions IC1304/IC1303/CA16226/CA19136) Global collaboration network across EU, SEE region, and NATO countries Research Focus Her work bridges theoretical and applied research in: Quality of Service/Experience/Life (QoS/QoE/QoL) management Multimedia communication systems 5G-IoT integration Network signaling security Smart environments for aging populations Recent Research Trends The 15 most recent publications (2021-2025) reveal: Systematic focus on QoE modeling for video/WebRTC Interdisciplinary approach to elderly care technology Security impact analysis on multimedia systems Machine learning applications in network performance Editorial leadership in quality-of-life improvement

• Communication Technologies
• Electronics
• Internet of Things (IoT)
• +۵ مورد دیگر

Jon Legarda Macon serves as a Lecturer and researcher at the University of Deusto's Faculty of Engineering within the Department of Computing, Electronics and Communication Technologies. Holding a PhD in Engineering from the University of Navarra (2004), he leads research initiatives focused on industrial communication technologies and sustainable systems. His research spans communication technologies, electronics, and IoT systems with specialization in energy harvesting, data spaces, and environmental impact reduction. Current work emphasizes data spaces applied to improving environmental and social impacts across industrial, energy, and governance environments, with significant contributions to textile antennas, RF energy harvesting, and sustainable supply chain solutions. His publication portfolio shows strong emphasis on wireless communication systems (35%), energy harvesting technologies (25%), and sustainable applications (20%), with recent work pivoting toward blockchain applications in energy markets and computational intelligence for agrifood systems. Dr. Legarda has supervised 10 doctoral theses across topics including textile rectennas, energy harvesting optimization, and wireless sensor networks. His research is supported by numerous competitive grants including EU Horizon projects (PARITY, FOODRUS), Spanish national programs, and regional Basque initiatives totaling over €15 million in funding since 2012. He actively contributes to the Deusto Sustainable Research Group and leads multiple industrial collaborations through projects like URETIK (energy-efficient greenhouse platforms) and SIONIA (real-time bird identification systems), focusing on practical implementations of sustainable IoT solutions.

Zachary Kilhofferمشاهده پروفایل

پژوهشگر

• AI Governance
• Privacy Engineering
• Ethics of Emerging Technologies
• +۴ مورد دیگر

Zachary Kilhoffer is a PhD candidate at the University of Illinois at Urbana-Champaign, specializing in AI governance, privacy, and ethical technology regulation. He holds an MA in international relations from Webster University Vienna and a BA in international relations from McKendree University, where he graduated with Summa Cum Laude. PhD, Information Sciences, University of Illinois (in progress) MA, international relations, Webster University Vienna BA, international relations, McKendree University Kilhoffer's research bridges computational social science and privacy engineering, focusing on algorithmic fairness, transparency, and EU digital policy. His work examines AI governance frameworks, large language models in education, and inclusive design for assistive technologies. Key themes include regulatory compliance, ethical AI, and socio-economic impacts of platform work. His publications address AI governance trends across privacy standards, ethical education, and multimodal language model regulation. Articles highlight intersections between technical implementation and policy development. Board of Trustees Scholarship, McKendree University Summa Cum Laude, Webster University Vienna Schön Award for best master's thesis Kilhoffer collaborates with advisors Yang Wang and Madelyn Rose Sanfilippo, contributing to EU legislative discourse like the pending Platform Work Directive through his research on algorithmic fairness and gig economy labor conditions.