جست‌وجوی استاد و پژوهشگر

• Smart Grids
• Sustainable Energy Systems
• Information and Communication Technologies for Smart Grids
• +۶ مورد دیگر

Néstor Rodríguez Pérez is an Assistant Professor at the Technological Research Institute (IIT) of Comillas Pontifical University, affiliated with the School of Engineering. His research focuses on smart grids, digitalization of power systems, and the integration of information and communication technologies (ICT) in energy networks. His research interests include sustainable smart grids, IoT in power systems, cybersecurity (particularly MaDIoT attacks), scalability and replicability of digital solutions, TSO-DSO coordination, and edge computing for grid applications. He applies advanced modeling and simulation techniques to evaluate the performance and security of modern power systems. The recent publications reflect a strong trend in analyzing the digital transformation of electricity distribution networks, with emphasis on ICT architecture, cybersecurity threats, and scalability of communication protocols such as Modbus TCP and wireless M-Bus. His work bridges theoretical modeling with practical implementation in European power systems, often in the context of EU-funded projects. He has been involved in significant research grants and projects funded by the European Commission (Horizon 2020 and Horizon Europe), the State Research Agency (AEI), and the Naturgy Foundation. These projects focus on digital twins, grid resilience, flexibility solutions, and transnational smart grid platforms. He has conducted a research stay at the Electrical Sustainable Energy Department of TU Delft and has been active in knowledge dissemination through technical reports, workshops, and invited seminars at IIT Comillas and international forums.

• Sustainable Logistics
• Operations Research
• Disaster and Crisis Management
• +۹ مورد دیگر

Patrick Hirsch is an Associate Professor at the Institute of Production and Logistics , part of the Department of Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna . He serves as Head of the Institute of Production and Logistics since 2025 and has coordinated doctoral programs in Social and Economic Sciences since 2017. His research focuses on Sustainable Logistics, Operations Research, and Disaster Management , with specializations in Health Care Logistics Humanitarian Supply Chains Urban Mobility Food Security Cybersecurity in Logistics Green Logistics Recent publications highlight his work in 2025-2023 on: Cloud Resource Optimization Disaster Response Logistics Container Terminal Storage Cyberattack Resilience Home Health Care Scheduling His team also explores deep learning for cargo inspection and hybrid simulation modeling for pandemic and climate-related disruptions. Scientific awards include: BOKU Best Paper Award (2024) ITOR runner-up Best Paper (2023) Raiffeisen Science Award (2014) Multiple Early-Career Prizes Dr. Hirsch leads 13 active research projects funded by the Austrian Research Promotion Agency and Oesterreichische Nationalbank , including initiatives on food supply resilience , internet outage cascading effects , and blockchain in logistics security . He supervises collaborative theses and contributes to policy development through institutions like the ITA - Institut für Technikfolgen-Abschätzung .

Gabriel Lopez Millanمشاهده پروفایل

استاد

• Network Security
• Software-Defined Networking (SDN)
• Identity Management
• +۵ مورد دیگر

Gabriel Lopez Millan is a Professor in the Department of Information and Communication Engineering at the Faculty of Informatics, University of Murcia. His work focuses on network security, identity management, and software-defined networking (SDN) systems. PhD in Information and Communication Engineering University of Murcia, 2006 Research interests include network access control , AAA infrastructure , and IPsec management , with a strong emphasis on SDN and IETF standards . Recent work explores EDHOC protocol integration for IoT security and automated rekeying in IPsec associations. His publications from 2019–2025 highlight trends in SDN-based security , TLS configuration standards , and YANG modeling for network security. He has contributed to RFCs and educational accreditation frameworks like Euro-Inf. Gabriel Lopez Millan serves as a key researcher in the Intelligent Systems and Telematics group and has collaborated with projects such as DAMe and CLASSe for secure network federations.

• Computer and networked systems security
• Systems security and privacy
• Trusted execution environments
• +۶ مورد دیگر

Nuno Santos is an Associate Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico (IST), University of Lisbon, and a senior researcher at INESC-ID Lisbon, where he leads the SysSec team within the Distributed, Parallel and Secure Systems (DPSS) group. He is an active member of the international security community, serving as Program Vice Co-Chair for USENIX Security 2025 and on program committees for top venues such as IEEE S&P, CCS, and USENIX Security. Education: Ph.D. in Computer Science, 2013 – Max Planck Institute for Software Systems (MPI-SWS) & Saarland University Research internships at Microsoft Research Redmond (2010), Vrije Universiteit Amsterdam (2018), and Technical University of Munich (2024) Research Interests Nuno Santos’s research centers on the security and privacy of computer and networked systems, with particular emphasis on trusted execution environments, secure systems design, and the intersection of machine learning with security. His group investigates vulnerabilities and defenses in widely deployed platforms, including TrustZone, JavaScript runtimes, and cloud infrastructures. Additional themes include censorship-resistant communication, privacy-preserving analytics, and automated exploit generation. Recent Publication Trends Over the past five years, his work has increasingly targeted emerging threat models in confidential computing (AMD SEV-SNP, Intel TDX), large-language-model integration into web applications, and automated security analysis of JavaScript ecosystems. These publications consistently appear in the most selective venues (PLDI, SIGMETRICS, ICSE, NDSS, S&P, USENIX Security), evidencing strong empirical evaluation and real-world impact. Awards & Honors IST Outstanding Teaching Award (2019/2020) ISOC.PT Best Portuguese Internet Research Award (2024) Prémio Científico Universidade de Lisboa / Caixa Geral de Depósitos (2024) Multiple IST Teaching Excellence Awards Advising & Service Nuno Santos has supervised numerous MSc and PhD students whose theses span secure systems, network privacy, and trustworthy computing. Recent defenses include Bernardo Ribeiro, Cristi Savin, Hugo Mantinhas, João Aragonez, João Sá, and Tomás Tavares. He actively participates in doctoral committees and mentors junior researchers within the DPSS group. Labs, Teams & Collaborations He leads the SysSec team inside the Distributed, Parallel and Secure Systems (DPSS) group at INESC-ID Lisbon. The team maintains strong collaborative ties with MPI-SWS, VUSec at VU Amsterdam, the Systems Research Group at TU Munich, and multiple industry partners including Microsoft Research.

• User Experience
• Human-Robot Interaction
• Robotics
• +۶ مورد دیگر

Shih-Yi Chien is an Associate Professor in the Department of Management Information Systems at National Chengchi University, Taipei, Taiwan. His research focuses on User Experience , Human-Robot Interaction , and Robotics , with applications in Information Behavior and Machine Learning . Education: Ph.D. in Information Sciences from University of Pittsburgh (2009–2017). Professional Experience: Assistant Professor (2018–2023), then Associate Professor (2023–present) at NCCU. His research spans Explainable AI (XAI), Dementia Prediction , Fake News Detection , and Human-Automation Trust . Recent work includes cross-cultural studies on AI perception and neuromarketing applications in e-commerce robotics. Publications appear in Information Systems Frontiers , IEEE Transactions on Human-Machine Systems , and ACM/IEEE International Conference on Human-Robot Interaction . Notable scientific awards include: 2024 Yushiu Creative Award (Silver) 2023 National Somatic Interactive Technology First Prize 2022 Fubon Life Insurance Thesis Excellence Award Multiple INFORMS/IEEE/HICSS conference recognitions He has led research grants from Taiwan's National Science and Technology Council (MOST) on topics like human-multirobot cognitive processes and AI-driven high-age dementia care . Collaborative labs include the Ambient e-Services Laboratory and Digital Innovation & Management Research Lab at NCCU, focusing on smart contracts , human-robot collaboration , and digital sustainability .

André Nitzeمشاهده پروفایل

استاد

• Internet of Things
• Digital Business Models
• Software Engineering
• +۹ مورد دیگر

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

Thorsten Thielمشاهده پروفایل

استاد

• Political Theory
• Digital Policy
• Democracy in the Digital Age
• +۵ مورد دیگر

Prof. Dr. Thorsten Thiel is a full professor at the Faculty of Economics, Law and Social Sciences at the University of Erfurt. He serves as holder of the Professorship for Democracy Promotion and Digital Policy, Equal Opportunities Officer (Gleichstellungsbeauftragter) of the Faculty, and representative for Social Sciences study programs. His research focuses on political theory in digital contexts, specifically examining democratic transformations through technology, sovereignty in digital infrastructure, and structural changes in public spheres. Professorship for Democracy Promotion and Digital Policy Equal Opportunities Officer Faculty Representative for Social Sciences ORCID: 0000-0002-4261-118X His scholarly work investigates: Digital sovereignty frameworks and their political implications Structural transformations of public spheres through social media AI's impact on democratic processes Privatization of digital public infrastructure Anonymous activism and digital rights Republicanism in networked societies Recent publications analyze emerging challenges to democratic governance in digital environments, including algorithmic decision-making, platform regulation, and crisis hackathons as democratic innovations. He has contributed to debates on digital sovereignty (2024), AI's influence on political will-formation (2024), and Habermasian digital public sphere theory (2023). His #WirVsVirus hackathon analysis (2023) explores participatory technology in crisis governance.

Didrik Lundbergمشاهده پروفایل

پژوهشگر

• System Security
• Formal Methods
• P4 Programming Language
• +۳ مورد دیگر

Didrik Lundberg is a Researcher at the Department of Theoretical Computer Science within the School of Electrical Engineering and Computer Science at Royal Institute of Technology . His work focuses on system security and formal methods , particularly in mechanized reasoning for the P4 programming language. Key research areas include formal verification , network security , and program logic , as evidenced by his publications on HOL4P4 , symbolic execution , and unstructured program logics . He has presented at international conferences such as SEFM 2020 , OOPSLA 2024 , and VSTTE 2024 . His peer-reviewed articles and conference contributions span topics like P4 semantics, data plane verification, and Hoare-style logic for unstructured programs. He also authored a master's thesis titled Provably Sound and Secure Automatic Proving and Generation of Verification Conditions (2018).

• Power and Energy Systems
• Condition Monitoring
• Fault Diagnosis and Prognosis
• +۵ مورد دیگر

Dr Xiandong Ma is a Reader in Power and Energy Systems at Lancaster University's School of Engineering, where he has been a faculty member since December 2008. His research focuses on intelligent condition monitoring and fault diagnosis of power systems, with particular expertise in wind energy systems and smart grid technologies. His educational background includes: BEng in Electrical Engineering from Jiangsu University (1986) MSc in Power Systems and Automation from Nanjing Automation Research Institute (1989) PhD in Partial Discharge based High-voltage Plant Condition Monitoring from Glasgow Caledonian University (2002) Dr Ma's research spans intelligent condition monitoring and fault diagnosis/prognosis of wind power systems and electrical assets, condition-based operations and maintenance of power and energy systems, modeling, optimization, and control of smart/micro grids with renewable energy resources, power conversion and renewable energy integration, and associated machine learning and AI technologies and digital twin solutions. His work bridges theoretical advances with practical engineering applications in the renewable energy sector. His recent publications demonstrate a strong focus on quantum machine learning applications for wind turbine monitoring, electric vehicle-grid integration challenges, wave energy conversion systems, and nuclear fuel inspection technologies. The research shows a clear trajectory toward more sophisticated AI-driven solutions for energy systems, with increasing emphasis on multi-physics modeling and cross-domain applications. Dr Ma has received several prestigious recognitions: Chartered Engineer Fellow of the Institution of Engineering and Technology (FIET) Fellow of the Higher Education Academy (FHEA) Member of EPSRC Peer Review College KTP Fellowship awarded by University of Technology Sydney (2018) Ranked in the world's top 2% scientists by Stanford University He actively supervises numerous PhD students and postdoctoral researchers, with current projects including the Leverhulme Trust-funded "Self-Aware Power Networks: Autonomous Operation at Scale" and several EPSRC-funded initiatives. Dr Ma has secured significant research funding and collaborates extensively with industry partners to translate research into practical applications. Dr Ma leads research within Lancaster's Energy research group, focusing on the integration of advanced sensing, AI, and control techniques for next-generation power and energy systems. His team works closely with industrial partners including ALSTOM Power and various renewable energy companies to develop innovative solutions for real-world energy challenges.

Rongbin Hanمشاهده پروفایل

استاد

• Chinese Politics
• Cyber Politics
• Authoritarian Resilience
• +۶ مورد دیگر

Rongbin Han is Professor of International Affairs at the University of Georgia's School of Public and International Affairs, where he also serves as a Faculty Fellow at the Center for International Trade and Security (recently renamed the Benson-Bertsch Center for International Trade and Security). His research focuses on Chinese politics, particularly cyber politics and contentious politics, using both qualitative and quantitative research methods. Ph.D. in Political Science, University of California, Berkeley (2012) M.A. in Political Science, National University of Singapore (2003-2006) B.A. in International Politics, Peking University (1999-2003) Professor Han's work examines how online expression functions within China's political system, challenging conventional wisdom about the Internet's democratizing potential. He has developed influential concepts such as 'directed digital dissidence' to explain how authoritarian regimes strategically channel online discontent. His research combines digital ethnography with survey experiments and automated text analysis to provide nuanced insights into state-society relations in the digital age, with particular attention to how pluralization of expression empowers not only regime critics but also pro-regime voices. His scholarly output reveals a consistent progression from examining online expression and censorship to exploring more sophisticated state strategies. A thematic analysis shows his work spans multiple subfields including cyber nationalism, local governance responsiveness, environmental activism, and immigration attitudes in China, demonstrating both depth in China studies and breadth across political science subdisciplines. His publications indicate an evolving understanding of how China's digital authoritarianism has matured from simple censorship to more complex information management strategies. Professor Han has authored or co-authored approximately 50 scholarly publications that have garnered over 17,000 reads and 880 citations according to ResearchGate. His three major books have significantly shaped the field of Chinese cyber politics: 'Contesting Cyberspace in China' (2018), 'Directed Digital Dissidence in Autocracies' (2023), and 'The Xi Jinping Effect' (2024) as co-editor. His work has been featured in prominent media outlets including The Economist and The Washington Post, indicating its significance beyond academic circles. As an educator, Professor Han contributes to the academic community through his research and publications. His work provides critical insights into the evolving relationship between digital technologies and authoritarian governance, with implications for understanding political change in China and other authoritarian contexts. His research continues to evolve with recent work examining communism nostalgia in online fictions and the broader evolution of cyber politics in China over the past three decades.

Sazzadur Rahamanمشاهده پروفایل

استادیار

• System and software security
• program analysis
• applied cryptography
• +۱ مورد دیگر

Sazzadur Rahaman serves as an Assistant Professor in the Department of Computer Science at the University of Arizona, maintaining his office in GS 734. His scholarly focus spans system and software security, program analysis, applied cryptography, and internet measurement, positioning him at the forefront of cybersecurity research. His research program investigates critical vulnerabilities in modern software ecosystems, with particular emphasis on protestware dynamics, unsanctioned technology adoption in educational settings, and adversarial attacks against machine learning systems. Methodologically, he integrates program analysis with cryptographic techniques to develop practical security solutions, evidenced by frameworks like BLADE for code debloating and SpanL for API misuse detection. His work consistently bridges theoretical security principles with real-world deployment challenges. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) software supply chain security (protestware characteristics, container debloating), (2) education technology risks (unsanctioned tool usage, LLM-assisted cheating countermeasures), and (3) foundational security mechanisms (binary code analysis, cryptographic API validation). These publications demonstrate increasing interdisciplinary collaboration, particularly between cybersecurity and educational technology domains. No scientific awards were documented in the provided materials. While student advising activities and research grants aren't specified in the source text, his publication record suggests active mentorship through co-authored works and potential grant-funded projects in software security tool development. The available documentation does not reference specific research laboratories or collaborative teams associated with his current position.

• Programming Pedagogy
• Educational Technology
• Artificial Intelligence in Education
• +۲ مورد دیگر

Hugo G. Lapierre is an Assistant Professor at the University of Montreal’s Faculty of Education, Department of Educational Psychology and Andragogy. He holds a PhD in Education (2024) and an MA in Didactics (2017) from UQAM, alongside a BSc in Secondary Science and Technology Teaching (2024). His research focuses on programming pedagogy, educational technology integration, artificial intelligence literacy, and psychophysiological data applications in education. Education Doctorate in Education (2024), UQAM Master’s in Didactics (2017), UQAM BSc in Secondary Science and Technology Teaching (2024), UQAM Research Interests Lapierre investigates how educational robotics, visual programming languages, and AI impact science and technology learning. His work explores emotional and cognitive differences between novice and beginner programmers, psychophysiological data in educational research, and equitable AI integration in schools. He advocates for programming education to address cybersecurity risks and prepare students for future job markets. Grants and Projects He leads projects funded by the Fonds de recherche du Québec - Société et culture (FRQSC) and the University of Montreal, including studies on educational robotics’ effects on chemistry learning, AI literacy for disadvantaged schools, and virtual vs. in-person programming instruction. His grants (e.g., FRQSC PV113813) support early-career research in educational technology. Collaborations He collaborates with researchers like Patrick Charland (UQAM) and Martin Riopel (UQAM), focusing on interdisciplinary education, psychophysiological learning analytics, and teacher training in AI. His work spans scientific and professional domains, bridging empirical research with practical educational tool development.

Okan Topçuمشاهده پروفایل

استاد

• Modeling and Simulation
• Distributed Simulation
• Agent-Based Simulation
• +۹ مورد دیگر

Professor Okan Topçu is a faculty member in the Department of Computer Engineering at Middle East Technical University, Northern Cyprus Campus (METU NCC), where he serves as Head of the Academic Board of Engineering and Natural Sciences. He holds a Ph.D. and M.S. from Middle East Technical University (Ankara, Turkey, 2007 and 1999 respectively). Education: Ph.D. & M.S. in Computer Engineering from METU Ankara Research Focus: Modeling and simulation, agent-based systems, distributed simulation, cybersecurity, and model-driven engineering

Francesco Liberatiمشاهده پروفایل

دانشیار

• Control theory
• Model predictive control
• Cyber-physical systems
• +۱ مورد دیگر

Francesco Liberati is an Associate Professor in Automatic Control at Sapienza University of Rome, Department of Computer, Control and Management Engineering (DIAG). His research focuses on cyber-physical systems, model predictive control (MPC), and hybrid MPC-deep learning algorithms with applications to power systems, traffic control, and task scheduling. PhD in Systems Engineering from Sapienza University (2015) Assistant Professor (RTD-B) at Sapienza University (2021-2024) Assistant Professor (RTD-A) at eCampus University (2015-2017) Liberati’s work combines theoretical advancements in control theory with real-world implementations in smart grids and transportation systems. He has pioneered approaches integrating MPC with reinforcement learning for large-scale optimization problems, particularly in electric vehicle (EV) charging and grid reconfiguration. His recent publications emphasize: Stochastic and economic MPC for renewable energy storage Decentralized control algorithms for EV charging Cyber-physical security in microgrids and smart infrastructure Hybrid AI-control solutions for traffic and industrial systems Scientific recognition includes: 2021 Best Paper Award, IEEE World AI IoT Congress (AIIoT) 2021 Networked Systems Best Paper Award He serves as Associate Editor for Advanced Control for Applications (Wiley) and on the Editorial Board of Smart Cities (MDPI). His applied research spans European Commission H2020 projects and collaborations with industry partners in energy and transportation sectors.

• Research Data Management
• Data Governance
• Data Sharing Practices
• +۳ مورد دیگر

Chris Wiley serves as the Physical Sciences and Engineering Research and Data Services Librarian and Associate Professor at the University of Illinois at Urbana-Champaign. Based at the Grainger Engineering Library, he focuses on data management, research practices, and digital accessibility across scientific disciplines. Research Interests: Specializing in data governance and stewardship across engineering and physical sciences Advancing FAIR data principles and open repository systems Developing accessible data visualization tools Researching data privacy frameworks for scientific contexts Exploring cloud storage limitations for academic institutions Creating educational resources for data management transitions Contact: Email: cawiley@illinois.edu Phone: 217-300-5801 Location: Grainger Engineering Library, 1301 W. Springfield Ave., Urbana, IL 61801