جست‌وجوی استاد و پژوهشگر

Justin Kirk Langley Hanerمشاهده پروفایل

پژوهشگر ارشد

• International Law
• Security Studies
• United Nations Reform
• +۷ مورد دیگر

Justin Kirk Langley Haner is a Political Scientist and Research Fellow at Brown University's Watson Institute for International and Public Affairs. His work bridges international law, security, and computational text analysis, focusing on how global institutions address modern security challenges. Specialization: International Law, Security, Computational Text Analysis Advocacy: Active UN Reform Advocate with Coalition for the UN We Need and Citizens for Global Solutions Background: Former US Army Captain with 13 years of military and public service experience Research explores the intersection of conflict, cooperation, and technology, particularly analyzing AI-enhanced weapons systems, cybersecurity strategies, and the historical evolution of international law. His award-winning dissertation "Organizing Peace" demonstrates how computational analysis of treaties can reveal pathways to conflict reduction. Recipient of the 2024 Kenneth Waltz Outstanding Dissertation Award from the American Political Science Association, recognizing his innovative approach to security studies. This work builds on his foundational research on cybersecurity frameworks and global AI arms race dynamics. Awards & Recognition: 2024 Kenneth Waltz Outstanding Dissertation Award

Justin Hanerمشاهده پروفایل

پژوهشگر ارشد

• International Security
• Global Governance
• Cybersecurity
• +۳ مورد دیگر

Dr. Justin Haner is a Research Fellow at the Watson Institute for International and Public Affairs, Brown University. His research focuses on international security, cybersecurity, and global governance, emphasizing the role of international law and institutions in addressing complex security challenges. He earned his PhD in Political Science from Northeastern University and holds undergraduate degrees in Criminal Justice and International Affairs, also from Northeastern. Education: PhD in Political Science, Northeastern University MA in Political Science, Northeastern University B.S. in Criminal Justice, Northeastern University B.A. in International Affairs, Northeastern University Research Interests: Quantitative analysis of cybersecurity policies AI and autonomous weapons systems International law's impact on conflict resolution Opposition to isolationist trends in global governance Publications highlight cybersecurity strategies and AI arms race dynamics. His work has been recognized with the 2024 Kenneth N. Waltz Award for contributions to security studies. Advising/Grants: No formal advisees listed. Engages in policy advocacy through organizations like the Coalition for the UN We Need. Labs/Teams: Collaborates with global policy networks but no specific lab mentioned. Active in UN reform advocacy groups.

Majd Latahمشاهده پروفایل

پژوهشگر

• Security of mission-critical systems
• Software-defined networking
• Decentralized security
• +۳ مورد دیگر

Dr. Majd Latah is a Researcher (Postdoc) at the Department of Informatics, University of Hamburg, working under Prof. Mathias Fischer. His research focuses on cybersecurity for mission-critical systems, software-defined networking (SDN), and blockchain integration in network security. He holds a PhD from Ozyegin University. Key research areas include secure aircraft systems, decentralized security frameworks, and digital twin networks. His work emphasizes blockchain-based authentication protocols (e.g., HostSec, DPSec) and hybrid intrusion detection systems for SDNs. He has collaborated on projects like DTN-Core and CWT-DPA, addressing cross-domain authorization and distributed security challenges. Latah has published extensively on SDN security, blockchain applications, and AI-driven network optimization. His contributions span both theoretical frameworks (e.g., AI-enabled SDN overviews) and practical implementations (e.g., DoS attack detection systems). Affiliations include the Computer Networks research group at UHH, where he contributes to lab activities and team projects. His educational background includes studies at Ozyegin University under Dr. Kübra Kalkan.

Antonio Pecchiaمشاهده پروفایل

پژوهشگر

• Deep Learning
• Cybersecurity
• Empirical Software Engineering
• +۱ مورد دیگر

Antonio Pecchia is a Researcher at the Department of Engineering within the University of Sannio . His work focuses on the dependability and security of distributed software systems , employing methodologies from deep learning , empirical software engineering , and operational data analysis to develop next-generation resilient systems . Academic Rank: Researcher University: University of Sannio School: College of Engineering Department: Department of Engineering Research interests include: Deep Learning for anomaly detection and intrusion prevention Cybersecurity with emphasis on denial-of-service attacks, malware detection, and network traffic analysis Empirical Software Engineering for dependability evaluation and fault tolerance Parallel and Distributed Computing in mission-critical systems His 15 most recent publications (2023–2025) demonstrate a consistent focus on: Intrusion detection using deep autoencoders and federated learning in IoT/CPS environments Critiques on the validity of public datasets like CICIDS2017 for cybersecurity research Fake news propagation analysis through topic modeling and bipartite graphs Proactive security testing frameworks like DEFEDGE for edge-cloud systems Scientific contributions include: IEEE Member Founder of the International Workshop on Reliability and Security Data Analysis (RSDA) Guest Editor for IEEE Transactions on Dependable and Secure Computing Editor-in-Chief of the International Journal of Open Source Software and Process Collaborations span institutions in Europe, Asia, and North America , with co-authors like Marta Catillo , Umberto Villano , and Domenico Cotroneo .

• Cyber-Physical Systems
• Mobile Systems Security
• Wireless Systems Security
• +۳ مورد دیگر

Daniele Antonioli is an Assistant Professor in Digital Security at EURECOM, France. His research focuses on securing Cyber-Physical Systems (CPS), Mobile/Wireless Systems, Embedded/IoT devices, and Industrial Control Systems (ICS). He specializes in applied cryptography and system-level security, addressing vulnerabilities in emerging technologies such as Bluetooth, FIDO2, and vehicular networks. Maintains a lab focused on reverse engineering, hardware-software co-analysis, and automated security testing frameworks. Developed tools like MiniCPS and CPSBot for CPS/IoT security research. Research interests include: - Bluetooth Exploitation : BIAS, KNOB, BLURtooth attacks. - Embedded Systems Security : E-Trojans, E-Spoofer, Breakmi. - Privacy-Preserving Systems : Decentralized contact tracing protocols. - IOT/IICS Threat Modeling : AttackDefense Framework. Publications highlight both technical contributions (e.g., SimProcess simulation framework) and practical impact (e.g., EmuOCPP for EV charging security). Recipient of Singaporean Presidential Graduate Fellowship (2015-2019) and ST Engineering Research Excellence Award (2017). Active in international collaborations, including EU-funded projects. Advises on CPSBot botnet simulation and FP-tracer browser fingerprinting detection systems. Engages in standardization efforts for secure industrial communication protocols.

Marcello Trovatiمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Big Data Analytics
• +۶ مورد دیگر

Prof Marcello Trovati is a Professor of Computer Science at Edge Hill University, leading the Computer Science Department. He holds a PhD in Mathematics from the University of Exeter (2007) and has extensive experience in academia and industry, including roles at IBM Research and Coventry University. His research focuses on Data Science, Artificial Intelligence, Big Data Analytics, and Cybersecurity. He leads projects like ALFIE (Ethical AI frameworks) and SME Water (Water Industry Innovation), and collaborates widely on topics like malware detection, sentiment analysis, and healthcare informatics. His work spans over 60 publications and 13 funded projects, emphasizing interdisciplinary applications of computational methods. Education: PhD in Mathematics (University of Exeter), MA in Mathematics (University of Aberdeen) Affiliations: Data and Complex Systems Research Centre Research Interests: Marcello’s work integrates mathematical modeling with AI, addressing challenges in cybersecurity (e.g., Android malware detection via FSSDroid), healthcare (IoT medical devices), and decision-making systems. He develops novel algorithms for data analysis, such as retrieval-augmented generation for knowledge assets and sentiment urgency detection for business intelligence. Projects & Grants: ALFIE: Ethical AI frameworks and AutoML (2024–2027) SME Water: Innovations in Water Industry (2024–2026) Arts4Us: Mental health support via arts (2024–2027) Collaborations: Cross-disciplinary work with institutions like IBM Research, University of Derby, and Coventry University. Projects involve experts in healthcare, cybersecurity, and social sciences.

Farhath Zareenمشاهده پروفایل

استادیار

• Bioinformatics
• Software/Hardware Security
• Embedded IoT Systems
• +۳ مورد دیگر

Dr. Farhath Zareen is an Assistant Professor in the Department of Cyber and Computer Sciences at The Citadel, part of the Swain Family School of Science and Mathematics. She holds an MS and PhD in Computer Science from the University of South Florida (2023). Her research focuses on interdisciplinary cybersecurity challenges in medical devices, embedded systems, and adversarial machine learning. Key areas include bioinformatics applications, IoT security frameworks, and hardware trojan detection. Education: PhD in Computer Science, University of South Florida, 2023 MS in Computer Science, University of South Florida, 2023 Her work bridges theoretical computer science with practical biomedical engineering, emphasizing real-time security solutions for medical systems and IoT infrastructure. Recent efforts include LSTM-based botnet detection in IoT networks and adversarial attack mitigation in brain-computer interfaces (BCIs). She also explores AI literacy among K-12 students through STEM outreach programs. Research Trends: Her publications (2018-2025) show sustained focus on: Hardware security for embedded/IoT devices Cybersecurity of medical systems Adversarial machine learning defenses Biomedical data analysis techniques Awards/Grants: No specific awards mentioned in provided texts, though her work aligns with National Science Foundation priorities in cybersecurity and medical engineering. Labs/Teams: Likely affiliated with The Citadel's CHARIoTS Lab and RADIUS Lab given departmental context, focusing on cybersecurity and embedded systems research.

Zane Maمشاهده پروفایل

استادیار

• Network Security
• Internet Measurement
• Applied Cryptography
• +۳ مورد دیگر

Zane Ma is an Assistant Professor at Oregon State University's School of Electrical Engineering and Computer Science (EECS), focusing on network security and privacy. He holds a Ph.D. in Computer Science from the University of Illinois and a B.A. in Chemistry from Princeton University. Research interests include network security, internet measurement, applied cryptography, and web security, with emphasis on Web authentication and trust systems 5G network security Blockchain infrastructure IoT botnet mitigation DNS reputation analysis Recent research trends show expertise in analyzing TLS certificate vulnerabilities WebPKI trust relationships Covert cryptocurrency mining Malware ecosystem mapping Secure transport protocol evaluation Scientific awards include Best paper at WWW 2019 NSF SFS Award (co-PI) 2024 Actively recruiting Ph.D. students for research projects related to network security systems and emerging internet technologies.

Christoph Sorgeمشاهده پروفایل

استاد

• Legal Informatics
• Data Protection Law
• IT Security
• +۱۲ مورد دیگر

Christoph Sorge is a full Professor and Head of the Chair of Legal Informatics at Saarland University, where he leads interdisciplinary research at the intersection of law and computer science. His work focuses on data protection, IT security, and the legal implications of emerging technologies such as AI, blockchain, and wearables. He is actively involved in teaching courses like 'Recht der Cybersicherheit' and 'IT-Forensik für Juristen'. The Chair of Legal Informatics is engaged in numerous high-impact research projects funded by BMBF, DFG, and BMWK, including D'Accord , EDWI , K3I-Cycling , PAIRS , ScaleTrust , and research on botnet crime . These projects explore adaptive privacy systems, data spaces, AI governance, and cybersecurity compliance, often in collaboration with legal and technical partners. His research interests span data protection law , cybersecurity , AI and law , digital ecosystems , and applied cryptography . He has contributed to the legal classification of Bitcoin and digital signatures, and his team develops tools for transparent and compliant data processing. The recent publications reflect a strong trend toward interdisciplinary compliance solutions , combining legal analysis with technical design. Themes include GDPR-compliant privacy dashboards, secure data exchange in crises, ethical AI, and legal frameworks for data trusteeship. The work consistently emphasizes user rights , transparency , and technical feasibility in legal contexts. Notable scientific contributions include project-based research rather than individual awards, though the impact is evident in policy-relevant outputs and collaborations with public institutions like the Saarland State Chancellery. Prof. Sorge supervises research staff on topics such as algorithmic summaries of court rulings, legal issues of cryptography, wearable data protection, and cloud security. While formal PhD students are not listed, his team includes researchers like Aljoscha Dietrich and Bianca Steffes. The Chair also contributes to eGovernment education through the eGov Campus project, developing data protection training for administrative staff. Lab and team activities are centered around the Chair of Legal Informatics , which functions as a research hub for legal-technical innovation, hosting internal projects and participating in national and international collaborations.

Kathleen Fisherمشاهده پروفایل

استاد مدعو

• Programming Languages
• Domain-Specific Languages (DSLs)
• Program Synthesis
• +۵ مورد دیگر

Kathleen Fisher is the Director of the Information Innovation Office at DARPA and an Adjunct Professor of Computer Science at Tufts University. She previously served as a full Professor and Chair of the Department of Computer Science at Tufts (2016–2021) and held roles as a Program Manager at DARPA (managing the HACMS and PPAML programs) and Principal Member of Technical Staff at AT&T Labs Research. She earned her PhD in Computer Science from Stanford University. Education: PhD in Computer Science, Stanford University. Research Interests: Kathleen’s work focuses on advancing programming languages theory and practice, with three core thrusts: (1) Domain-Specific Languages (DSLs) (e.g., Hancock, PADS, Forest), (2) Program Synthesis (e.g., generating programs from specifications), and (3) Formal Methods for provably correct software (e.g., the DARPA HACMS program). Her research emphasizes collaboration and interdisciplinary applications in cybersecurity and data wrangling. Publications: Her recent work spans DSL design, verified parsers, binary message format inference, and lens synthesis. Key trends include leveraging formal methods for security and advancing program synthesis techniques for practical systems. Awards: ACM Fellow (2011), Hertz Foundation Fellow, SIGPLAN Distinguished Service Award, and past leadership roles in SIGPLAN and the CRA-W Committee. Advising & Grants: Advised PhD students (e.g., Matthew Ahrens), led DARPA-funded projects, and contributed to open-source tools like Hoopl and ANTLR. Her lab, the TuPL Group , focuses on programming language innovations and education. Labs/Teams: Founded the Tufts Programming Languages (TUPL) research group and co-leads the Fisher Lab, advancing interdisciplinary applications of programming language techniques.

Hiran Patelمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Machine Vision
• +۴ مورد دیگر

Hiran Patel is a Senior Lecturer in Computer Science at the University of Wolverhampton, Faculty of Science and Engineering. His expertise spans Artificial Intelligence , Machine Learning , Machine Vision , and Autonomous Vehicles , with a focus on healthcare and cybersecurity applications. B.Sc. (Hons) Computer Science (2014) M.Sc. Computer Science (2015) PGCE in Post Compulsory Education and HE (2016) His research explores AI in healthcare , particularly medical technology integration, and autonomous vehicle systems . Earlier work centered on machine vision algorithms for robotics applications. Recent publications highlight trends in deep learning for cybersecurity (botnet detection) and AI-driven medical analysis (capitellum morphology, orthopaedic decision support). Projects include Vaccyne (cyberbullying prediction) and MinD (dementia-focused design, Horizon 2020 funded). He is a member of the British Computer Society , with teaching experience dating back to 2015 as a Graduate Teaching Assistant before becoming a Lecturer in 2017.

Manos Antonakakisمشاهده پروفایل

دانشیار

• Computer Security
• Network Security
• Attack Attribution
• +۷ مورد دیگر

Dr. Manos Antonakakis is an Associate Professor at the Georgia Institute of Technology , affiliated with the School of Electrical and Computer Engineering (ECE) and serving as an adjunct faculty member in the College of Computing (CoC) . He leads the Astrolavos Lab , focusing on Attack Attribution , Network Security and Privacy , Intrusion Detection , and Data Mining . Ph.D. in Computer Science from Georgia Tech (2012) Chief Scientist at Damballa (prior to 2012) Co-chair, Academic Committee for Messaging Anti-Abuse Working Group (MAAWG) Primary Investigator for tens of millions in research funding His research spans computer and network security , attack attribution , malware analysis , and data mining/machine learning , with a focus on DNS abuse, IoT security, and threat intelligence systems. Google Scholar lists over 20 publications and U.S. patents in cybersecurity domains. Recent publications demonstrate expertise in malware lifecycle analysis , DNS-based threat detection , CDN vulnerabilities , and IoT network traffic characterization . His work has been recognized through a 2010 Google Research Award and participation in top-tier security conferences as program committee member.

Anchit Bijalwanمشاهده پروفایل

مدرس ارشد

• Privacy & Security
• Network Forensics
• Botnet Forensics
• +۳ مورد دیگر

Dr. Anchit Bijalwan is an academician and researcher with 15 years of teaching experience across India, Ethiopia, and Vietnam. Currently serving as a Senior Lecturer at British University Vietnam (BUV) since 2022, he previously held Associate Professor positions at Arba Minch University (2017–2022) and Uttaranchal University (2012–2017). His expertise spans privacy, security, and machine learning. Education: PhD in Computer Science & Engineering (2016), Uttarakhand University of Technology, India MSc in Computer Science (2012), Uttarakhand University of Technology BEng in Computer Science & Engineering (2002), Uttarakhand University of Technology Research focuses on Botnet forensics , network security , and IoT systems . He has authored two books and over 40 publications, with recent work analyzing network traffic using feature selection techniques and botnet investigation via machine learning. His research trends show a strong emphasis on AI-driven cybersecurity solutions and accessibility studies. Scientific Awards: International Researcher Award (2021), International Research Association, London, UK Dr. Bijalwan has chaired IEEE/Springer conference sessions, delivered keynotes (e.g., IEEE conference in El Salvador), and secured grants from AMIT and the United Nations. He also contributes as an editorial board member for journals like IJAIEM and reviewer for Inderscience and IGI Global.

• Computer Security
• WS-Security
• E-Voting
• +۴ مورد دیگر

Carlos Ribeiro is an Associate Professor at the University of Lisbon (Instituto Superior Técnico), affiliated with the Distributed Systems Group. His work focuses on computer security, trusted computing, e-voting systems, sensor networks, and operating systems architecture. He teaches courses such as Concurrent Programming, Information Security Research Seminars, and Communications Security. Key research interests include intrusion detection systems (e.g., ARGAN-IDS), privacy-preserving identity management (e.g., STORK), and secure voting protocols (EVIV). His work also addresses challenges in wireless networks, such as mitigating Evil Twin attacks via WiFiHop and enforcing location privacy through the Jano framework. Collaborations span topics like robust address assignment in sensor networks and worm containment in peer-to-peer overlays. Recent publications (2024) explore industrial video systems for remote operations and adversarial-resistant cybersecurity solutions. Earlier work includes frameworks for eID federations, mobile payment systems (MobiPag), and policy-based security specifications. Education: PhD in Computer Science (unspecified), with extensive academic contributions since 1990. Labs/Teams: Distributed Systems Group, Jano Privacy Project, EVIV Voting System Team. Grants/Funding: Not explicitly listed in provided materials.

Emilio Ferraraمشاهده پروفایل

استاد

• Computational Social Sciences
• Network Science
• Social Media Analysis
• +۷ مورد دیگر

Emilio Ferrara is a Professor of Computer Science at the University of Southern California (USC) with courtesy appointments in Communication (Annenberg School) and Preventive Medicine (Keck School of Medicine). He leads the Machine Intelligence and Data Science (MINDS) group and directs the HUMANS Lab, focusing on interdisciplinary research across computer science, social networks, and public health. Research expertise in social media manipulation, AI bias, and disinformation campaigns Developed algorithms like WERW-Kpath for edge centrality and CONCLUDE for community detection Principal Scientist at USC Information Sciences Institute Director of USC's PhD program in Computer Science His work examines information diffusion , social bot operations , and AI ethics , with high-impact studies on: 2023: Bias in generative language models 2016-2017: Bot-driven election interference in US and France 2017: Extremist propaganda spread via social bots Awardee of the Complex Systems Society 2016 Junior Scientific Award, he has mentored numerous PhD students including Adam Badawy (Capital One), Herbert Chang (Dartmouth), and Ashok Deb (West Point). His lab's tools like Python Data Scientist toolbox and election integrity initiatives demonstrate his commitment to both research and education.