جست‌وجوی استاد و پژوهشگر

Rizka Purwantoمشاهده پروفایل

دانشیار مدعو

• Artificial Intelligence
• Cybersecurity
• Space Systems
• +۶ مورد دیگر

Rizka Purwanto serves as an Adjunct Associate Lecturer at the University of New South Wales (UNSW) Canberra within the School of Engineering and Technology, and concurrently as an Assistant Professor for the Master of Cybersecurity program at Monash University, Indonesia. Previously, she held a postdoctoral researcher position at UNSW Canberra Space and accumulated industry experience as a software engineer across Australia and Indonesia. Her academic qualifications include: Bachelor's degree in Electrical Engineering from Institut Teknologi Bandung (ITB), Indonesia (2013) Master's degree from the University of New South Wales (UNSW) (2018), specializing in artificial intelligence and internetworking PhD from UNSW's School of Computer Science and Engineering (2022), funded by the University International Postgraduate Award (UIPA) and Cyber Security Cooperative Research Centre scholarships Rizka's research centers on artificial intelligence applications across critical domains. Her primary cybersecurity work develops AI-driven methods for phishing and scam detection to enhance public awareness, while her space systems research pioneers federated learning for miniaturized satellite constellations and deep learning-based space object characterization using lightcurve data. This dual focus bridges theoretical AI innovation with practical security and aerospace solutions. Her publication record (2020-2025) reveals consistent contributions to phishing detection algorithms (PhishSim, PhishZip), federated learning optimization, space mission analytics (M2 CubeSat), and affective computing. Key trends show increasing integration of machine learning with domain-specific challenges in Indonesian energy infrastructure, cybersecurity, and satellite operations. No major scientific awards are documented in the provided materials. While no current advisees are listed, her PhD research received significant funding through the University International Postgraduate Award (UIPA) and Cyber Security CRC scholarships. Her postdoctoral role at UNSW Canberra Space likely involved mission-specific project grants, and her current Monash University position suggests involvement in cybersecurity education partnerships. Rizka's technical work prominently features UNSW Canberra Space, where she contributed to the 'M2' Low Earth Orbit Formation Flying CubeSat Mission. This placed her within a multidisciplinary team developing change detection systems and formation flying protocols using optical imaging for space situational awareness.

Michael Reiterمشاهده پروفایل

استاد

• Computer Security
• Network Security
• Cryptography
• +۴ مورد دیگر

Michael Reiter is the James B. Duke Distinguished Professor in the Departments of Computer Science and Electrical & Computer Engineering at Duke University's Pratt School of Engineering. With a career spanning over three decades, he has established himself as a leading authority in computer security, distributed systems, and cryptography. His academic journey includes significant positions at Carnegie Mellon University, where he served as founding Technical Director of CyLab, and the University of North Carolina at Chapel Hill. Ph.D. from Cornell University, 1993 James B. Duke Distinguished Professor, Duke University Former Professor at Carnegie Mellon University Former Distinguished Professor at UNC Chapel Hill Former Director of Secure Systems Research at Bell Labs Professor Reiter's research spans the critical intersection of security, cryptography, and distributed computing. His work addresses fundamental challenges in computer and network security, with particular focus on Byzantine fault-tolerant systems, privacy-preserving protocols, and applied cryptography. His recent research has expanded into machine learning security, blockchain technologies, and the security implications of emerging network infrastructures like 5G. Reiter's approach combines theoretical rigor with practical implementation, resulting in systems that have influenced both academic research and industry practice. Analysis of Reiter's recent publications reveals a strong trend toward addressing security challenges in modern computing environments. His work bridges traditional security domains with emerging technologies, particularly focusing on the security implications of machine learning systems, blockchain applications, and next-generation network architectures. The breadth of his research demonstrates how foundational security principles can be adapted to address novel threats in increasingly complex computing ecosystems. Test of Time Award, ACM Conference on Data and Application Security and Privacy (2024) Lasting Research Award, ACM Conference on Data and Application Security and Privacy (2024) Test of Time Award, ACM Conference on Computer and Communications Security (2022, 2019) Outstanding Contributions Award, ACM SIGSAC (2016) Fellow, IEEE (2014) Fellow, ACM (2008) Throughout his career, Reiter has mentored numerous students and collaborated extensively with researchers across academia and industry. His work has been supported by significant research grants from NSF, DARPA, and other funding agencies, focusing on foundational security mechanisms and their application to real-world systems. He has taught courses ranging from introductory security to advanced cryptography and distributed systems. Reiter maintains an active research group at Duke that explores cutting-edge security challenges. His team works at the intersection of theory and practice, developing both novel security mechanisms and practical implementations that address real-world vulnerabilities. Current projects focus on securing machine learning systems, enhancing blockchain security through trusted execution environments, and developing privacy-preserving protocols for distributed applications.

• Risk Analysis
• Resilience Engineering
• Reliability Engineering
• +۵ مورد دیگر

Dr. Yi-Ping Fang serves as an Assistant Professor at the EDF Chair SSEC with a joint appointment at the Industrial Engineering Laboratory, CentraleSupélec, Université Paris-Saclay, France. His research focuses on developing computational methodologies for risk, vulnerability, and resilience analysis of critical infrastructure systems including smart grids, electrified transportation networks, and interdependent lifeline systems. His core research interests encompass: Risk Analysis Resilience Engineering Reliability Engineering Optimization under Uncertainty Decision Making under Uncertainty Critical Infrastructure Systems Smart Grids Interdependent Systems Dr. Fang's recent publications reveal a concentrated research trajectory applying distributionally robust optimization, stochastic programming, and game theory to infrastructure resilience challenges. His work demonstrates particular expertise in microgrid hardening, distribution network restoration, and maintenance optimization under uncertainty, with significant contributions to modeling supply-demand fluctuations, random contingencies, and climate change impacts. Key application domains include energy systems (microgrids, wind farms), transportation networks (electric vehicle integration), and communication infrastructures. Scientific Awards: No scientific awards documented in the provided materials Dr. Fang actively advises students in risk/resilience analysis and optimization methodologies, though specific advisee names are not listed. His research program involves substantial collaboration with industry partners like EDF and academic colleagues including Anne Barros and Henry Uncle, focusing on practical implementations of resilience frameworks for critical infrastructure protection. Current projects emphasize prescriptive analytics for infrastructure networks, maintenance optimization under imperfect monitoring, and game-theoretic approaches to interdependent system vulnerabilities. He operates within the Industrial Engineering Laboratory at CentraleSupélec, which serves as the primary research hub for his work on computational methods in industrial engineering contexts, particularly for complex infrastructure systems requiring advanced decision-making frameworks under uncertainty.

• Privacy
• Information Theory
• Data Security
• +۳ مورد دیگر

Sara Saeidian is a researcher at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science (EECS), specifically within the Information Science and Engineering department under the Intelligent systems division. She completed her doctoral dissertation titled "Pointwise Maximal Leakage: Robust, Flexible and Explainable Privacy" in 2024, establishing herself as a promising researcher in information-theoretic privacy. Dr. Saeidian's research program centers on developing a comprehensive framework for privacy-preserving systems with three essential criteria: explainability (operationally meaningful privacy guarantees), robustness (resilience against diverse adversaries), and flexibility (applicability across contexts and data types). Her primary contribution is the development and analysis of pointwise maximal leakage (PML) as a privacy measure that quantifies information leakage about a secret variable to a publicly available related variable. Her publication record from 2021-2025 demonstrates a cohesive research trajectory examining PML's theoretical foundations, composition properties, and practical applications. She has established critical relationships between PML and existing privacy notions like differential privacy, while challenging misconceptions about the impossibility of meaningful inferential privacy guarantees. Her work spans theoretical investigations of optimal privacy mechanisms under leakage constraints to practical applications in privacy-preserving machine learning frameworks like PATE. Dr. Saeidian's research has been published in premier venues including IEEE Transactions on Information Theory, IEEE Transactions on Information Forensics and Security, and proceedings of the IEEE International Symposium on Information Theory, reflecting the significance and quality of her contributions to the field of data privacy.

Tianlong Chenمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Large Language Models
• +۵ مورد دیگر

Tianlong Chen is an Assistant Professor in the Department of Computer Science at The University of North Carolina at Chapel Hill , starting in Fall 2024. His research focuses on AI trustworthiness, efficiency, and scientific applications , particularly through sparsity, multimodal learning, and large language model (LLM) innovations. Research Interests include: Sparsity techniques for LLM optimization Multimodal learning and graph neural networks AI safety and privacy preservation Quantum computing applications Biological-informed AI systems Recent Trends in his publications emphasize Mixture-of-Experts (MoE) , LLM safety mechanisms , and lifelong learning architectures . Awards highlight recognition from Amazon, UNC Provost, NAIRR, and AAAI. Scientific Awards : Amazon Research Award (2025) UNC Accelerating AI Awards (2025) NAIRR Pilot Award (2025) CPAL/KAUST Rising Star Awards (2025) AAAI New Faculty Highlights (2025) Advising : Mentors 19 Ph.D. students across UNC Chapel Hill and remote collaborations, focusing on AI4Science, LLMs, and quantum computing. Grants include Cisco Research funding and UNC Provost AI support.

• Parallel Programming
• GPU Programming
• Image Processing
• +۵ مورد دیگر

Sándor Szénási is a Professor at the Department of Informatics within the Faculty of Economics and Informatics at J. Selye University, where he serves as the person responsible for the Applied Informatics study program. With over two decades of academic experience, he has established himself as a leading researcher in parallel programming, GPU programming, and image processing, with recent expansion into machine learning applications. Eötvös Loránd University, Faculty of Science and Informatics (2001-2004): Information technology teacher Budapest Polytechnic, John von Neumann Faculty of Information Technology (1997-2001): B. Engineer in Information Technology Óbuda University (2010-2013): PhD in Applied Informatics Habilitation at Óbuda University (2019): Information Science and Technology Professor inauguration at Óbuda University (2022) Szénási's research spans computational methods with practical applications across multiple domains. His early work focused on parallel and GPU programming for image segmentation and heat transfer simulation. More recently, he has integrated machine learning techniques with traditional computational approaches, particularly in metaheuristic optimization, speech processing, and inverse problem solving. His interdisciplinary research bridges computer science with transportation safety, manufacturing, and medical applications. His recent publications reveal a clear evolution toward hybrid computational approaches that combine machine learning with traditional algorithms. There is a strong emphasis on optimization techniques, particularly metaheuristics enhanced with machine learning components. His work spans diverse application areas including speech emotion recognition, autonomous vehicle control, additive manufacturing, and heat transfer simulation, while maintaining a core focus on computational efficiency and parallel processing. Szénási has been actively involved in multiple EFOP-funded research projects including 'Improvement of higher education institutes for better teaching quality and accessibility,' 'Dynamics and control of autonomous vehicles,' and 'Solving the Inverse Heat Conduction Problem with Machine Learning.' His collaborative work with researchers like Gábor Kertész, Zoltán Vámossy, and Imre Felde demonstrates his commitment to interdisciplinary research.

• Process Mining
• Privacy-Preserving Data Analysis
• Business Process Management
• +۳ مورد دیگر

Dr. Stephan Fahrenkrog-Petersen is a Researcher at the Institute of Computer Science , Humboldt University of Berlin , affiliated with the Faculty of Mathematics and Natural Sciences . He works on privacy-preserving process mining and business process management at the Weizenbaum Institute, Berlin. Email: stephan.fahrkrog-petersen@hu-berlin.de Address: Hardenbergstr. 32, 10623 Berlin His research focuses on data privacy , event log anonymization , and control-flow reconstruction in process mining. Recent work explores EU taxonomy compliance , human-centric BPM , and multi-perspective privacy mechanisms. Key article trends include privacy-preserving frameworks for process discovery, semantic anonymization techniques, and sustainable BPM . Publications span 2018–2025, with collaborative efforts in privacy-aware analysis and data generalization .

Tarja Pösöمشاهده پروفایل

استاد

• Child Protection
• Social Work
• Institutional Practices
• +۲ مورد دیگر

Tarja Pösö is a Professor at the School of Social Sciences and Humanities, Tampere University, with a secondary role as Professor II at the Department of Administration and Organization Theory, University of Bergen. Her work bridges academia and practice, focusing on child protection, social work ethics, and institutional decision-making. Current Positions: Professor, Tampere University; Professor II, University of Bergen Research Themes: Cross-cultural child protection, decision-making processes, migrant child welfare, ethics in social work, institutional scripts and narratives Recent Publications (2022–2025): Analyzed infant welfare systems in Nordic jurisdictions, developed vignette methodologies for practitioner-service user comparisons, and explored legal accountability in European child protection decisions. Her work emphasizes methodological innovation and cross-national policy analysis. Collaborations span institutions like the University of Oslo, UCL, and Berkeley, with a focus on the DIPA research project. She advocates for children's rights through participatory approaches and critical policy reviews.

• Artificial Intelligence
• Machine Learning
• Optimisation
• +۱۳ مورد دیگر

Dr. Asef Nazari is a Senior Lecturer in Mathematics at Deakin University's School of Information Technology, Faculty of Science Engineering and Built Environment. With over two decades of experience, his work spans mathematical modeling, optimization, and AI applications in energy systems, supply chains, and cybersecurity. Education : PhD (University of Ballarat), MSc (Amirkabir University of Technology), BSc (University of Tabriz), Graduate Certificate in Higher Education Teaching (Deakin University) Research : Focuses on Electricity network planning with renewables Optimization techniques (non-smooth, integer programming) AI/ML for cryptocurrency markets and causal inference Community battery systems for EV charging Soft happy coloring in network analysis Supply chain and project scheduling optimization Grants : Leads industry collaborations like the REACH Scholarship (2025–2028) and has secured funding from Monash University/ClimateWorks and The Ian Potter Foundation. Teaching : Developed the 'Mathematics for AI' master's unit, emphasizing real-world problem-solving in optimization, operations research, and data analysis. Supervision : Currently guides 8 PhD students in topics like AI-driven authentication security and land-use modeling. Awards : Recognized as a Fellow of the Higher Education Academy (FHEA)

Laura Freemanمشاهده پروفایل

استاد پژوهشی

• Experimental Design
• Machine Learning
• Cybersecurity Analytics
• +۴ مورد دیگر

Laura Freeman is a Research Professor in the Department of Statistics at Virginia Polytechnic Institute & State University and Director of the Intelligent Systems Division within the National Security Institute. Her research focuses on Experimental Design for Machine Learning, Cybersecurity Analytics, and Reliability Analysis. She holds a Ph.D. in Statistics (2010) from Virginia Tech, alongside an M.S. in Statistics (2006) and a B.S. in Aerospace Engineering (2005). Her work emphasizes statistical engineering and AI assurance, particularly in defense systems and cybersecurity. Notable contributions include frameworks for testing AI-enabled systems, combinatorial coverage metrics for ML robustness, and methodologies for reliability analysis in defense testing. She has led over $30M in grants, including projects on AI model certification, cybersecurity resilience, and multi-domain battlespace analysis. Freeman has received awards such as the International Test and Evaluation Association Cross Award (2019) and the NASA Engineering and Safety Center Group Achievement Award (2011). She serves as Editor-In-Chief of the ITEA Journal of Test and Evaluation and holds leadership roles in professional organizations like the American Statistical Association.

• Cyber Security
• Data Analytics
• Semantics-based Program Analysis
• +۷ مورد دیگر

Professor Chris Hankin is a Professor of Computing at Imperial College London’s Faculty of Engineering, with affiliations to the Institute for Security Science and Technology, Engineering Secure Software Systems, Grantham Institute, Space Lab, Urban Systems Lab, and Programming Languages research groups. He has held leadership roles including Deputy Principal of the Faculty of Engineering (2006–2008), Pro Rector (Research) (2004–2006), and Dean of City and Guilds College (2000–2003). His research focuses on cyber security, data analytics, and semantics-based program analysis, with emphasis on cyber-physical systems and decision support for security investments. His work includes leading the NCSC/EPSRC Research Institute in Trustworthy Inter-connected Cyber-Physical Systems (RITICS) and chairing ACM Europe committees. Key research areas span attack graph modeling, adversarial machine learning, healthcare cyber security, and industrial control systems resilience. He has contributed to policy through roles like Chair of the Government Office of Science’s Future Identities Foresight report. Prof. Hankin’s recent publications emphasize scalable cyber-physical security solutions, adversarial defense mechanisms, and interdisciplinary approaches to enhancing system resilience. His awards include Fellowship at the Institute for Security Science and Technology. He advises on automated decision-making ethics and has authored works on program analysis, cybersecurity economics, and formal methods.

Giampaolo Bellaمشاهده پروفایل

استاد

• Cyber Security
• Human Element
• Data Protection
• +۵ مورد دیگر

Giampaolo Bella is a Professor at the Department of Mathematics and Computer Science, Università degli Studi di Catania, Italy. He holds a Ph.D. from the University of Cambridge (2000) and a Laurea cum laude from Università di Catania (1995). His research focuses on Cyber Security, IoT, Automotive Security, Privacy Threats, and Formal Methods. He has held visiting roles at institutions including Royal Holloway University of London and SAP Research France. Education: Ph.D., Computer Laboratory, University of Cambridge (2000); Laurea in Computer Science, Università di Catania (1995) Postdocs: TU München (2000), Cambridge (2001–2003) Affiliations: Chief Cyber Security Advisor, ICT Cyber Consulting (since 2019) Research interests span IoT security, automotive cybersecurity, privacy-preserving frameworks, and ontology-based compliance verification. Key contributions include the SPADA threat modeling methodology and SecOnto ontology for security directives. His work bridges formal methods with practical applications in smart devices and blockchain. Recent articles emphasize IoT vulnerabilities, automotive cybersecurity, and privacy in digital forensics. Awards include inclusion in Cambridge's 'Distinguished Dissertations' scheme (2000). Collaborations involve teams at De Montfort University and Royal Holloway.

Marius Mineaمشاهده پروفایل

دانشیار

• Formal Verification
• Cybersecurity
• Software Engineering
• +۴ مورد دیگر

Marius Minea is an Associate Professor at the Department of Computer and Software Engineering, Politehnica University of Timișoara. He holds a Dr. Eng. degree and specializes in formal verification, cybersecurity, and software engineering. His work focuses on model checking, security protocols, and embedded systems design. Research interests include formal verification techniques, software analysis, and security modeling. Notable projects include the EU-funded SPaCIoS and AVANTSSAR initiatives, which address automated validation of security in service-oriented architectures. He has organized major conferences like CRiSIS 2011 and contributed to workshops such as MoDeVVa. Awarded the Merit Award in 2025, Minea teaches courses on computer security, formal verification, and programming. His work bridges theoretical foundations with practical applications, emphasizing automated testing and model-driven engineering.

Michael Cowlingمشاهده پروفایل

استاد مدعو

• Educational Technology
• Mixed Reality in Education
• Mobile Learning
• +۳ مورد دیگر

Michael Cowling is an Adjunct Professor in Education / ICT at Central Queensland University (CQU), having joined CQU in 2025 after moving from a previous institution. He currently serves as President (2024-2025) of the Australasian Society for Computers in Learning in Tertiary Education (ASCILITE) and Vice-President of the Open Access Publishing Association (OAPA), with over 20 years of leadership in educational technology. His research is anchored in the principle 'pedagogy before technology,' emphasizing thoughtful integration of digital tools to enhance learning outcomes. Key focus areas include: Mixed reality applications for experiential learning in health sciences and paramedic education Mobile learning technologies for distance education Digital literacy frameworks across K-12 and higher education contexts Generative AI implications for teaching, learning, and academic integrity Learning analytics for secure assessment environments Recent publications reveal a strategic pivot toward artificial intelligence in education, particularly examining generative AI's impact on stakeholder dynamics in higher education. His work consistently bridges theoretical frameworks with practical implementations, especially in visualization techniques for complex subjects through augmented reality and 3D printing. Dr. Cowling's contributions have been recognized through: Universities Australia 2020 AAUT Award for Teaching Excellence (Physical Sciences & Related Studies) Fellowship of the Australian Computer Society (ACS) Senior Fellowship of the Higher Education Academy (Advance HE UK) His leadership in ASCILITE and OAPA demonstrates active engagement in shaping educational technology policy and practice. Collaborative projects with international researchers like J Birt, Robert Vanderburg, and Thomas Cochrane highlight his commitment to cross-institutional knowledge exchange, though specific grant details and student advising records remain undocumented in available sources.

Justin M. Pelletierمشاهده پروفایل

استاد

• Cybersecurity
• Information Security
• Penetration Testing
• +۷ مورد دیگر

Justin M. Pelletier is a Professor and Director of the GCI Cyber Range and Training Center at the Rochester Institute of Technology (RIT) within the Golisano College of Computing and Information Sciences . He teaches undergraduate and graduate courses in the Department of Cyber Security and leads security assessments for critical infrastructure and national defense partners. He founded the NSA-funded National Consortium for Cyber Governance, Risk, and Compliance. Education : BS in Computer Science (Stonehill College), MBA in Entrepreneurship (RIT), PhD in Information Assurance and Security (Capella University) Pelletier's research spans cybersecurity , penetration testing , security economics , and critical infrastructure protection . His work includes analyzing ransomware responses in nuclear power plants, blockchain attack taxonomies, and medical device vulnerabilities. His recent publications focus on cyber-physical systems , social engineering , voting infrastructure security , and business intelligence integration . He also explores e-learning user experiences and attacker behavior modeling. Professor Pelletier has authored over three dozen articles, book chapters, and patents. He is a Lieutenant Colonel in the U.S. Army Reserve, a combat veteran, and a lay member of the Dominican Order. He lives with his wife and five children.