جست‌وجوی استاد و پژوهشگر

Andreas Eckhardtمشاهده پروفایل

استاد

• Digital Transformation
• Information Systems Security
• Social Media Analysis
• +۳ مورد دیگر

Andreas Eckhardt is a Full Professor of Information Systems at the University of Innsbruck since 2020, previously holding roles at GGS Heilbronn and visiting positions at the University of Hong Kong and Washington State University. He earned his Ph.D. (summa cum laude) in Information Systems from Goethe University Frankfurt and previously worked as a project manager for DaimlerChrysler Taiwan. Research Focus: His work centers on digital transformation, misinformation dynamics on social media (including deepfake impacts), cybersecurity in generative AI, and decentralized virtual organizations. He has published over 100 articles in top journals like MIS Quarterly and Information Systems Journal , authored two books, and received awards such as the Magid Igbaria Outstanding Paper Award. Editorial Roles: Senior Editor at Information Systems Journal and editorial board member of AIS Transactions on Human-Computer Interaction . He chairs AIS SIGADIT and BAFIT Network committees. Awards & Recognition: ECIS Best Research in Progress Paper Award (2018), SIGADIT Best Paper Award (2021), and contributions to editorial review processes for major IS conferences (ICIS, ECIS, AMCIS). Grants & Collaboration: Active in design science research, with projects on digital ethics, AI governance, and organizational innovation. His work bridges technical and social aspects of IT adoption in complex organizational environments.

Ziad Matniمشاهده پروفایل

استاد آموزشی

• Computer Science
• Social Sciences
• Education Technology
• +۳ مورد دیگر

Ziad Matni is an Assistant Teaching Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB). He holds a PhD in Information Science from Rutgers University and an MS and BS in Electrical and Computer Engineering from the University of Southern California. Prior to academia, he worked in the tech industry for over a decade as an engineer and manager. Roles: Director of UCSB's Early Research Scholars Program (ERSP), Co-Director of Undergraduate Learning Assistants (ULA) program, Faculty Advisor for the Class of 2026. Research Focus: Computational social science, information-seeking behavior in networked communities, and computer science pedagogy. Teaching: Courses include CMPSC 8/W8, CMPSC 16, CMPSC 32, CMPSC 40, CMPSC 64, CMPSC 110, CMPSC 111, CMPSC 154, and CMPSC 176A. His research integrates interdisciplinary approaches, combining computational analysis with social science theories to study information behavior and educational technologies. Recent work emphasizes leveraging social media data for community well-being and improving undergraduate learning through peer mentorship programs. Ziad’s Erdős number is ≤5 and Berners-Lee number is ≤3, reflecting his academic collaborations. He is passionate about making computer science accessible to all learners, regardless of background. Professional Development: Advises on curriculum design, oversees student research initiatives, and contributes to UCSB’s efforts in computational education.

Anurag Purwarمشاهده پروفایل

دانشیار

• Robotics Design
• Kinematic Analysis
• Machine Learning in Engineering
• +۳ مورد دیگر

Dr. Anurag Purwar is an Associate Professor of Mechanical Engineering at Stony Brook University, directing the Computer-Aided Design and Innovation Lab and serving as PI for NSF I-Corps. He holds a Ph.D. from Stony Brook (2005) and a B.Tech. from IIT Kanpur (1995). His research merges rigid body kinematics with machine learning for mechanism and robot design, yielding 107+ peer-reviewed publications and patents licensed to industry. Key projects include the sit-to-stand walker assistive device (SAE Top 100 Award) and MotionGen software tools. Education: Ph.D., Stony Brook University (2005); B.Tech., IIT Kanpur (1995) Awards: A.T. Yang Award (2017), SAE Top 100 Award (2016), ASEE Distinguished Teaching Award (2021) Leadership: Program Chair (ASME 2014), Conference Co-Chair (IDETC 2016), NAI Senior Member Research focuses on machine learning-driven design of mechanisms, robotics, and assistive technologies. His labs develop algorithms for path synthesis, generative design, and kinematic analysis. He actively commercializes innovations through industry partnerships and has spun off startups like MotionGen.io.

• Computer Security
• Program Analysis
• Machine Learning
• +۴ مورد دیگر

Mu Zhang is an Assistant Professor at the Kahlert School of Computing, University of Utah. His research focuses on computer security, particularly developing tools using program analysis, machine learning, and data mining to address security issues in Web3, cyber-physical systems, and mobile systems. Previously, he was a Postdoc at Cornell University and a Research Staff Member at NEC Labs America. Education and Background: Postdoc, Cornell University Research Staff Member, NEC Labs America Research Interests: His work emphasizes automated detection and mitigation of security vulnerabilities, including smart contract flaws, industrial control system threats, and malware analysis. He explores innovative solutions like ICSTracker for intrusion backtracking and DEEPVMUNPROTECT for VM-protected Android malware recovery. Recent efforts span blockchain formal verification, Wasm runtime testing, and cross-domain threat inference. Recent Contributions: Notable publications include papers on provenance analysis for industrial control systems (DSN'25), storage collision mitigation in smart contracts (USENIX Sec'25), and automated generation of security-centric smart contract descriptions (ISSTA'23, distinguished paper). Funded projects include NSF grants for AI security education and Cisco Research for smart contract semantics recovery. Awards: His team received the ACM SIGSOFT Distinguished Paper Award (2023) and CCS 2022 Best Paper Honorable Mention. Advising and Grants: Supervises PhD/MSc students like Yu, Wanjing, and Taiji. Active in proposal funding (e.g., Idaho National Lab for industrial control systems, Stellar Foundation for smart contract analysis). Served on TPCs for NDSS, CCS, and ISSTA. Labs/Teams: Leads a research group at University of Utah focusing on secure software systems and automated security tool development.

• 5G/6G mobile networks
• Radio access networks
• Automation systems and autonomy
• +۱۹ مورد دیگر

Bruno Dzogovic is an Assistant Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, specifically within the Department of Computer Science. His research focuses on 5G/6G networks, cybersecurity, cloud computing, and software engineering. 5G/6G mobile networks Cloud computing and virtualization Cyber defense systems Wireless communication Industrial networks Biomedical Wireless Sensor Networks His recent work explores secure network slicing, container technologies, and applications of 5G in healthcare and elderly care systems. He is an active member of the Autonomous Systems and Networks (ASN) research group, contributing to advancements in digital forensics and vulnerability assessment for modern communication systems.

• Computer Science
• Artificial Intelligence
• Creativity Support Tools
• +۲ مورد دیگر

Konstantinos Zachos is a Research Fellow and Chief Technology Officer at the Centre for Creativity enabled by AI (Bayes Business School, City, University of London). His work focuses on integrating Artificial Intelligence with Human-Computer Interaction to develop Digital Creativity Tools that enhance innovation across sectors like journalism, manufacturing, social care, and elite sports training. He co-leads the JECT.AI spin-out and the QUEST research project. Expertise : AI for Creativity, Software Engineering, Requirements Engineering, Service Discovery Collaborations : Co-developed tools with Neil Maiden, James Lockerbie, and teams at City, University of London and Miele GmbH His recent publications highlight Generative AI applications in opportunity discovery, with empirical evaluations in newsrooms and manufacturing environments. Key themes include: Creative process modeling Cross-domain AI integration Interactive systems for collaborative innovation Requirements surfacing in evolving systems Konstantinos maintains IEEE membership and actively bridges technical innovation with Human-Centered Design principles.

Adrian Spătaruمشاهده پروفایل

مدرس

• Cloud Computing
• Distributed Systems
• Edge Computing
• +۴ مورد دیگر

Adrian Spătaru serves as a Lecturer at the Faculty of Mathematics and Computer Science, West University of Timisoara, Romania, with his office located in room 058. He maintains active academic engagement through direct contact channels including email (adrian.spataru@e-uvt.ro) and phone ((0256) 592 157), reflecting ongoing institutional affiliation and research activities within computer science. His research centers on the integration of edge, cloud, and high-performance computing resources within the cloud continuum framework. Key focus areas include service orchestration, resource management, blockchain applications for decentralized systems, and AI-driven optimization of cloud infrastructures. His work addresses critical challenges in heterogeneous platform integration, fault tolerance, and predictive maintenance across large-scale distributed environments, with notable contributions to container deployment and accelerator-aware application specification. Analysis of his publication trends reveals sustained emphasis on the edge-cloud-HPC continuum since 2018, evolving toward intent-based AI orchestration and heterogeneous hardware integration in recent works. His research bridges theoretical distributed systems concepts with practical applications in environmental monitoring (solar forecasting, freshwater quality assessment) and industrial cloud reliability, demonstrating both academic rigor and real-world impact. No scientific awards are documented in the provided institutional information. Details regarding student supervision, research grants, or laboratory affiliations are not specified in the available materials. Current research directions appear focused on advancing the edge-cloud-HPC continuum through heterogeneous platform integration, with 2025 publications indicating active development in this domain.

Lixia Zhangمشاهده پروفایل

استاد

• Internet Architecture Design
• Network Protocol Design
• Named Data Networking (NDN)
• +۵ مورد دیگر

Lixia Zhang is a Professor at the Computer Science Department of University of California, Los Angeles (UCLA) . She leads the Internet Research Lab (IRL) and has been a key figure in the Named Data Networking (NDN) project since 2010, building on Van Jacobson's Content-Centric Networking (CCNx) vision. Education : PhD from MIT (TCP/IP research), advised by Dr. David Clark Experience : Xerox PARC (7 years), currently at UCLA since 1998 Labs : Director of Internet Research Lab (IRL) at UCLA Her research focuses on Internet architecture design , NDN protocol development , and network security . She has published extensively on topics like DDoS defense patterns , LEO satellite networking , and decentralization frameworks . Her work spans applications in mHealth data sharing , edge computing , and augmented reality . Recent publications show trends in NDN scalability , secure communication , and decentralized internet infrastructure , with 15 most recent articles covering LEO satellite networks , metaverse security , scientific data distribution , and stateful forwarding mechanisms . Scientific Awards : PAM 2010 Best Paper Award Best Poster Award at ACM ICN 2018 Grants & Leadership : Recipient of Cisco Systems grant (2022) for satellite networking research, co-chair of IRTF Decentralized Internet Infrastructure Research Group (2021), and organizer of multiple NDN Community Meetings and Hackathons . Her lab has produced notable alumni including Mohit Lad (co-founder of ThousandEyes) and Lucas Wang .

Jukka Matthias Krispمشاهده پروفایل

استاد

• Location Based Services (LBS)
• Geographic Visualization
• Visual Analytics
• +۷ مورد دیگر

Prof. Dr. Jukka Matthias Krisp is a Professor of Applied Geoinformatics at the Institute of Geography, Faculty of Applied Computer Science, University of Augsburg. He leads the Applied Geoinformatics research team focusing on Location Based Services, Geographic Visualization, Spatial Modeling, and GIS applications in ecological network planning. His research interests span multiple domains within geoinformatics: Location Based Services (LBS) including context modeling, navigation systems, and mobile applications Geographic Visualization and Visual Analytics for complex spatial data representation Spatial Modeling techniques for urban environments and transportation systems Geographic Information Systems applications in ecological network planning and environmental monitoring Indoor navigation systems and 3D spatial representation Prof. Krisp's recent publications demonstrate a strong focus on bicycle routing optimization, spatial analysis of social networks, and the integration of AI technologies like ChatGPT for geospatial data generation. His work often combines traditional GIS methodologies with emerging technologies to address urban mobility challenges, traffic congestion analysis, and sustainable transportation planning. He has made significant contributions to the field of Location Based Services, particularly in context-aware computing and spatial data processing. Among his notable scientific contributions: Development of surface roughness-centric approaches to bicycle routing Innovative methods for estimating night populations using mobile network data Integration of big data and cartographic techniques for understanding urban mobility patterns Application of fuzzy inference systems for traffic congestion analysis Narrative approaches to indoor navigation using 360-degree camera documentation Prof. Krisp actively supervises students and collaborates with researchers internationally. His team includes Pablo Löw, Zulfa Nur'aini Afifah, and former members like Lika Zhvania. He teaches courses such as Advanced Spatial Analysis, Geoinformation Systems and Cartography, and Visual Geodata Mining at the University of Augsburg.

Wagner Ourique De Moraisمشاهده پروفایل

مدرس

• Ambient Assisted Living (AAL)
• Smart Home Systems
• Healthcare Technology
• +۳ مورد دیگر

Wagner Ourique De Morais is a Lecturer at the Academy of Information Technology , Halmstad University, with a focus on Smart Home Systems and Healthcare Technology for elderly populations. Doctoral Thesis : Architecting Smart Home Environments for Healthcare: A Database-Centric Approach (2015) Key Research Areas : Ambient Assisted Living (AAL), Graph Neural Networks for Clinical Prediction, IoT-Edge-Cloud Offloading, and Wearable Health Monitors His work spans 15+ years , including publications on Zero-Day Attack Detection in Vehicular Networks (2025), Graph Neural Networks for Clinical Risk Prediction (2024), and Smart Medication Organizers (2017). Research trends emphasize sensor integration , context-aware computing , and security in smart environments . He contributes to projects like the "Safe at Night" initiative and has developed middleware for heterogeneous sensor networks (2008). Current teaching and research at Halmstad University prioritize technology-enabled elderly care and cyber-physical system design .

Shashikant Ilagerمشاهده پروفایل

استادیار

• Distributed Systems
• Energy Efficiency
• Machine Learning
• +۴ مورد دیگر

Dr. Shashikant Ilager is an Assistant Professor at the Informatics Institute (IVI) , University of Amsterdam. His research focuses on distributed systems , energy efficiency , and machine learning , with a specific emphasis on sustainable large-scale AI platforms. Current affiliation: University of Amsterdam (Oct 2024–present) Previous roles: Postdoctoral Researcher at TU Wien; Visiting Research Scientist at IBM PhD: CLOUDS Lab, University of Melbourne Research Focus Dr. Ilager develops data-driven approaches to optimize cloud/edge platforms for environmental and economic sustainability , particularly in AI workloads. His work bridges system characterization with learn-centric optimization techniques. Recent Publications 2025: ACM e-Energy (LLM carbon amortization), TAAS (self-adaptive edge monitoring), CCGRID (code generation efficiency). 2024: ICSOC (edge time series classification), EdgeSys (federated learning with GANs). Awards Best Paper Award @ ACM/IEEE UCC 2023 Community Engagement Organizer of the GreenSys workshop (2025) at EuroSys. Member of HPDC 2025 Technical Program Committee.

Zoë Woodمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer Science Education
• Scientific Visualization
• +۵ مورد دیگر

Zoë J. Wood is an Associate Professor in the Computer Science Department within the College of Engineering at California Polytechnic State University (Cal Poly). She leads the International Computer Engineering Experience (ICEX) program and serves as faculty advisor for Women Involved in Software and Hardware (W.I.S.H.), a student organization supporting female computing majors. Her educational background includes a Ph.D. and M.S. in Computer Science from the California Institute of Technology. Wood co-founded the interdisciplinary minor Computing for the Interactive Arts, reflecting her commitment to bridging artistic expression with technical skills. Wood's research spans computer graphics, scientific visualization, and computer science education, with a focus on geometric modeling and underwater archaeological visualization. Her work often integrates visual arts, mathematics, and computer science, creating innovative approaches to both research and teaching. Recent projects demonstrate an increasing emphasis on socially responsible computing, diversity in STEM, and community engagement. Her scholarly output shows a clear evolution from technical computer graphics research toward educational innovation and social impact, particularly in broadening participation in computing. The most recent publications focus on socially responsible computing, Latinx student retention, and community-based learning approaches in introductory courses. Wood actively promotes diversity in computing through multiple initiatives, including advising W.I.S.H., developing inclusive curricula, and conducting research on student belonging and retention. Her work with the Computing for the Interactive Arts program empowers students to realize artistic visions through coding. She teaches a range of courses from introductory computing with an arts focus (CSC 123) to advanced computer graphics (CSC/CPE 471), computer animation (CSC/CPE 474), and graduate-level computer graphics (CSC 572). Her teaching philosophy emphasizes creative approaches to computational thinking and technical skill development.

Aydin Nassehiمشاهده پروفایل

استاد

• Smart Manufacturing Systems
• Agent-Based Manufacturing Planning and Control
• Artificial Intelligence in Manufacturing
• +۳ مورد دیگر

Professor Aydin Nassehi is Head of the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, UK. He holds the academic rank of Professor of Production Systems and actively contributes to research in smart manufacturing, agent-based modeling, and digital twins. Research interests include AI integration in manufacturing, generative design, and systems optimization. He has collaborated extensively with Dr. Ben Hicks on projects like ProtoTwinning and Designing the Future , focusing on digital twin applications and transdisciplinary engineering. His scholarly output spans over 150 publications, with recent work emphasizing explainable AI, sustainability in food supply chains, and biomedical manufacturing innovations. Publications demonstrate expertise in machine learning, digital twin cost modeling, and additive manufacturing optimization. His projects have received funding from EPSRC and other academic institutions. Current research explores Industry 5.0 challenges, balancing automation with human-centric approaches, and advancing interoperability in cloud manufacturing environments.

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +۹ مورد دیگر

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

• Real-Time Systems
• Parallel Computing
• Cyber-Physical Systems
• +۳ مورد دیگر

Jing Li is an Assistant Professor at the Department of Computer Science in the Ying Wu College of Computing at New Jersey Institute of Technology. She holds a Ph.D. in Computer Science from Washington University in St. Louis (2017), advised by Chenyang Lu and Kunal Agrawal. Ph.D. in Computer Science, Washington University in St. Louis (2017) M.S. in Computer Science, Washington University in St. Louis (2014) B.S. in Computer Science, Harbin Institute of Technology, China (2011) Her research spans Real-Time Systems , Parallel Computing , Reinforcement Learning for System Design , and Scheduling Theory . Current projects include NSF-funded work on real-time systems with parallel resources and ARPA-E/IBM collaborations on reinforcement learning for converter design. Recent publications focus on AI-driven scheduling , parallel task optimization , and reinforcement learning applications in traffic control and circuit design. Key venues include AAAI, RTSS, PPoPP, and RTAS. Outstanding Achievement in Research (2022) Outstanding Paper Awards at RTSS (2018), RTAS (2016), ECRTS (2013) Turner Dissertation Award (2017) She advises graduate students in real-time systems and parallel computing, mentors NSF/ARPA-E projects, and leads professional services as TPC member and workshop organizer.