Find Academic Supervisors

• FinTech
• Sustainable Finance
• Environmental Innovation
• +8 more

Professor Sabur Mollah is a Chair in Financial Management at Sheffield University Management School . Previously, he served as Professor of Accounting and Finance at Swansea University and Professor of Finance at the University of Hull. He founded the Academy of Sustainable Finance, Accounting, Accountability & Governance (ASFAAG) and is Editor-in-Chief of the Journal of Sustainable Finance and Accounting . PhD in Finance, University of Leeds Docent in Business Administration (Corporate Finance), Stockholm University MCOM Finance (1st Class), University of Dhaka BCOM (Hons) Finance (1st Class), University of Dhaka His research spans FinTech, sustainable finance, environmental innovation, climate risk governance, board gender diversity, and responsible banking . He explores climate finance , EDI in the boardroom , and green banking , with a focus on Islamic banks, corporate governance, and global financial markets. His work addresses CO2 emissions outsourcing , net-zero targets , and child labor in supply chains . Recent publications analyze microfinance interest rates , director connectedness and bank risk , digital transformation's impact on operational risk , and board diversity in Islamic banking . His work appears in top journals like the Journal of Accounting and Economics and Journal of Financial Stability . Scientific leadership roles include: Editor-in-Chief, Journal of Sustainable Finance and Accounting President, Academy of Sustainable Finance, Accounting, Accountability & Governance (ASFAAG) He has supervised doctoral research on topics like AI and labor equilibrium , corporate climate activism , and bank risk governance . Major grants include funding from Taylor’s University Flagship Research (Malaysia) and Jan Wallanders Och Tom Hedelius Stiftelse .

• Artificial Intelligence
• Autonomous Systems
• Smart Living Technologies
• +7 more

Dr. sc. nat. Hilko Hoffmann is a researcher at the German Research Center for Artificial Intelligence (DFKI) within the Agents and Simulated Reality department in Saarbrücken, Germany. His work focuses on the intersection of artificial intelligence, cloud-based IoT systems, and smart living environments, with particular emphasis on security, contextual awareness, and human-AI collaboration. Role: Researcher Institution: DFKI Saarbrücken Research Unit: Agents and Simulated Reality Key research interests include: Secure orchestration of heterogeneous IoT devices Context-sensitive smart living services Federated data ecosystems for autonomous systems Human-centric AI integration in safety-critical domains Recent publications analyze technical and sociotechnical aspects of AI in cloud-IoT architectures, with specific applications in building automation and energy systems. Collaborations span 11 European countries through the InterConnect project, demonstrating cross-domain integration of smart homes, buildings, and electricity grids.

Oum El Kheir AktoufView profile

Professor

• Dependability
• Safety
• Security
• +5 more

Oum El Kheir Aktouf is a Professor in Computer Science at Grenoble Institute of Technology (Esisar Engineering School) and a member of the LCIS laboratory, France. She previously served as a Visiting Professor at San José State University, USA, during a sabbatical leave. Education : Master and PhD in Computer Science from Grenoble Institute of Technology Her research focuses on dependability, safety, and security of embedded and interconnected systems, including sensor-based applications and multi-agent architectures. She employs runtime testing, diagnosis, and monitoring approaches. Her work spans mobile application testing, fault diagnosis in RFID and wireless sensor networks, and security frameworks for autonomous systems. Recent publications highlight trends in Android security benchmarking , decentralized cryptography , and multi-agent resilience . She has participated in 12 funded national and international research projects and supervised courses in operating systems, real-time systems, distributed computing, and system dependability.

• Self-Service Business Intelligence
• Data-Driven Organizations
• Information Systems
• +3 more

Christian Lennerholt is a Senior Lecturer in Information Systems Development at the School of Informatics, University of Skövde, Sweden. His work focuses on bridging theoretical research with practical implementation in business intelligence and data-driven decision making, with significant contributions to understanding implementation challenges in organizational contexts. Dr. Lennerholt completed his doctoral studies in 2022 with the thesis "Facilitating the Implementation and Use of Self Service Business Intelligence." His academic journey includes extensive research in information systems, with publications spanning from 2007 to the present day. His primary research interests center on Self-Service Business Intelligence implementation challenges, particularly examining user-related issues, data quality concerns, and organizational readiness factors. Dr. Lennerholt investigates how technology adoption intersects with human factors and organizational structures to determine the success or failure of business intelligence initiatives. Analysis of Dr. Lennerholt's publication history reveals a consistent trajectory from foundational work on IT outsourcing relationships (2007-2009) toward specialized research on Self-Service Business Intelligence. His most recent work demonstrates increasing sophistication in addressing complex implementation challenges through frameworks like AQUIRE, while maintaining practical relevance for organizational practitioners. Dr. Lennerholt currently leads the "Real-time environmental feedback" project (2023-2025), investigating how real-time data can reduce municipal resource consumption. Previously, he contributed to the "Resilient payment system" project (2016-2021), which examined collective action strategies during payment system disruptions across multiple societal sectors. His academic contributions include numerous publications in reputable journals and conferences, with particular focus on implementation challenges, user adoption barriers, and practical frameworks for successful business intelligence deployment. Dr. Lennerholt has also made significant contributions to understanding information security in municipal contexts and innovative approaches to academic teaching and student throughput.

Eugene Y. VassermanView profile

Associate Professor

• Network and distributed system security
• Privacy and anonymity
• Censorship resistance
• +4 more

Eugene Y. Vasserman is an Associate Professor in the Department of Computer Science at Kansas State University's College of Engineering, where he also serves as Director of the Center for Cybersecurity and Trustworthy Systems. His office is located in 2171 Engineering Hall, and he holds office hours on Tuesdays from 2:30 pm to 4:00 pm and Wednesdays from 11:30 am to 1:00 pm during the Fall 2025 semester. Dr. Vasserman's research spans multiple critical areas of cybersecurity including network and distributed system security, privacy and anonymity, censorship resistance, operating system security, medical and IoT security, usable security, and applied cryptography. His work bridges theoretical security concepts with practical implementations, addressing real-world challenges in diverse domains from medical systems to blockchain technologies. His recent publications reveal a research trajectory that has evolved from foundational network security work to increasingly interdisciplinary research intersecting with artificial intelligence, medical systems, and cybersecurity education. The 15 most recent publications demonstrate his ongoing commitment to both theoretical advances and practical security solutions across multiple domains. Outstanding short paper award for 'Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU' at IEEE HPEC 2023 Best graduate student poster award for 'Empowering pre-service teachers to utilize programming in the classroom' at ASEE Midwest Conference 2013 Dr. Vasserman has mentored numerous graduate students through the Systems and Network Security (SyNeSec) Lab, with alumni now working at organizations including Paycom, Corelight, Sandia National Labs, Microsoft, and Cerner. He teaches multiple cybersecurity courses each semester including CIS 525: Introduction to Network Programming, CIS 755: Systems Security, and CIS 351: Cyber Defense Basics, demonstrating his long-term commitment to cybersecurity education since at least 2010. As Director of the Center for Cybersecurity and Trustworthy Systems, he leads initiatives that address critical security challenges across multiple domains, fostering collaboration between researchers, students, and industry partners to develop trustworthy systems for the future.

Narges ArastoueiView profile

Research Fellow

• Cybersecurity
• Network Security
• Wireless Communications
• +6 more

Dr. Narges Arastouei serves as a postdoctoral researcher at the Chair of Mobile Business & Multilateral Security, Goethe University Frankfurt since 2019. With over 12 years of industry experience including leadership of security operations at Iran's largest mobile provider (MCI), she specializes in cybersecurity for next-generation mobile networks and critical infrastructure protection. Her educational background includes: Ph.D. in Computer System Networking and Telecommunications from Amirkabir University of Technology (AUT), Tehran Research focuses on network security, 5G/6G communications, IoT security, and Security Operations Center (SOC) frameworks. Current work bridges theoretical networking with practical incident handling, emphasizing human factors in cybersecurity and privacy-preserving healthcare applications. Her projects address evolving threats in mobile ecosystems through both technical solutions and policy frameworks. Publication trends reveal progression from foundational work in opportunistic network routing (2013-2019) to cutting-edge 6G security research (2022-2025), with consistent emphasis on real-world implementation challenges. Key themes include risk-aware protocols, botnet detection, and secure healthcare systems. Scientific recognition includes: First-place doctoral student award She leads coordination of EU-funded CyberSec4Europe and CyberSecPro projects while spearheading human factor components in the ECCO initiative. Secured Goethe-Corona-Fonds grant funding for longitudinal study on Germany's Corona Warning App adoption. Hosts the SECMGT workshop on information security management since 2023. Active within Goethe University's security research ecosystem, she contributes to multilateral security frameworks and mentors junior researchers through student assistant programs.

• Machine Learning
• Artificial Intelligence
• Bayesian Statistics
• +5 more

Dr Cuong Nguyen is a Lecturer in the Department of Mathematical Sciences at Durham University, specializing in Machine Learning, Artificial Intelligence, and Statistics. His research bridges theoretical foundations with practical applications, with particular expertise in Bayesian methods, transfer learning, and multimodal systems. His educational background includes a PhD in Computer Science or a related field (specific institution not mentioned in provided data), with research focusing on machine learning theory and applications. Nguyen has established himself as a researcher with publications spanning top conferences including NeurIPS, UAI, and ACM Web Conference. Research Interests: Nguyen's work centers on lifelong learning systems that overcome catastrophic forgetting, transferability estimation between tasks, and multimodal learning applications. His research integrates Bayesian principles with deep learning to create more robust and adaptable AI systems. Recent Trends: Analysis of his 15 most recent publications reveals a strong focus on practical applications of theoretical machine learning concepts, particularly in security (CAPTCHA systems), real-world problem solving (fake advertisement detection), and fundamental learning theory (transferability metrics). Dr Nguyen has made significant contributions to understanding the theoretical underpinnings of transfer learning and continual learning, with his work on LEEP providing a practical metric for transferability estimation. His research on CAPTCHA systems demonstrates both theoretical rigor and practical security implications. Advising: While specific students aren't listed in the provided data, his publications show collaborations with researchers across institutions, suggesting active supervision of PhD and Master's students. Research Groups: He is affiliated with the Statistics research center within Durham's Department of Mathematical Sciences, contributing to the university's strength in mathematical and computational research.

Johanna UllrichView profile

Professor

• Network Security
• Critical Infrastructure Security
• IPv6 Security
• +4 more

Johanna Ullrich is a Professor at the University of Vienna's Faculty of Computer Science and a Key Researcher at SBA Research in Vienna. She leads the Research Group Communication Technologies and serves as Head of the Networks and Critical Infrastructures Security Group at SBA Research. Her academic journey includes positions as Principal Investigator & Manager of Third Party Funded Projects at the University of Vienna and Post-Doctoral Researcher at the Christian Doppler Laboratory for Security and Quality Improvement in the Production System Lifecycle. Her educational background includes a PhD sub auspiciis praesidentis in Computer Science from TU Wien (2013-2016), an MSc in Automation Engineering from TU Wien (2010-2013), and a BSc in Electrical Engineering from TU Wien (2007-2010). She also holds a Venia Docendi for Computer Engineering from the University of Vienna. Ullrich's research focuses on the intersection of computer science and classical engineering, with particular emphasis on network security, IPv6 measurement experiments, and critical infrastructure protection. Her groundbreaking work demonstrated vulnerabilities in the IPv6 Privacy Extension that led to modifications in major client operating systems, protecting millions of users. She is renowned for her research on cyber-physical attacks against power grids, showing how coordinated load attacks can destabilize electrical infrastructure. Her work spans both theoretical security frameworks and practical implementations with significant real-world impact. Her publication record reveals a consistent trajectory from fundamental network security research toward increasingly complex interdisciplinary investigations at the boundary of computer science and physical infrastructure. Recent work emphasizes AI/ML applications for network security, power grid resilience, and socio-technical approaches to cybersecurity. Her research demonstrates a progression from protocol-level security (IPv6) to system-level security (cloud, IoT) and now to infrastructure-level security (power grids, critical national infrastructure). 2nd in the Faculty of Computer Science's Best-of-the-Best Ranking 2024 Category Third Party Funding Nomination for the Hedy Lamarr Prize 2019 and 2020 Scholarship of Excellence 2018 Research Prize of the Dr. Maria Schaumayer Foundation 2018 Promotio Sub Auspiciis Praesidentis 2017 Diploma Thesis Award of the City of Vienna 2013 Ullrich actively contributes to the academic community through extensive grant acquisition and service. She has secured numerous research projects including SPyCoDe (Semantic and Cryptographic Foundations of Security and Privacy by Compositional Design), DynAISEC (Adaptive AI/ML for Dynamic Cybersecurity Systems), and Q-Crit (Quantum-Safe Critical Infrastructure for Austria). Her leadership extends to committee roles including Program Committee Member of IEEE Symposium on Security and Privacy (S&P) 2024 and Technical Program Chair of Network Traffic Measurement and Analysis Conference (TMA) 2023. At SBA Research, she leads the Networks and Critical Infrastructures Security Group, which investigates security challenges at the intersection of digital networks and physical infrastructure. The group conducts both theoretical research on security frameworks and practical measurements of real-world systems. Their work combines network measurement techniques with power systems engineering to develop comprehensive security approaches for critical infrastructure.

• Networking
• Distributed Systems
• Network Security
• +3 more

Siegmar Sommer is a Researcher at the Humboldt University of Berlin , affiliated with the Institute of Computer Science under the Faculty of Mathematics and Natural Sciences . He has worked at the university since 1986 in various technical and scientific roles. Dipl.-Ing. in Computer Engineering (1982) Dr.-Ing. in Computer Science (1986) Postgraduate studies in Higher Education (1990) His research focuses on networking , distributed systems , and network security , with historical contributions to optical information transmission , LAN protocols , and security-relevant systems . His work bridges hardware-software co-design and educational theory in technical disciplines. The 1980s-1990s articles highlight expertise in LAN architecture, optical communication, and security frameworks. Keywords span Networking , Operating Systems , and Education , with subfields like Fiber Optic Networks , CSMA/CD Protocols , and Higher Education Curriculum . He contributed to the Computer Engineering Group and holds a patent for " Bus Access Method for a Local Computer Network " (1986). His teaching legacy includes courses on programming languages (BASIC, PASCAL, PEARL), computer graphics, and modern topics like Wireless Communication Systems and Reliable Distributed Systems . Contact: Email: sommer@informatik.hu-berlin.de Phone: +49 30 2093-41256 Office: Room IV.303, Rudower Chaussee 25, Berlin-Adlershof

I.J. Da Silva OliveiraView profile

Researcher

• Cybersecurity
• Risk Management
• Ontology-Driven Conceptual Modeling
• +2 more

I.J. Da Silva Oliveira is a Researcher at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente. Affiliated with the Computer Science department and the Semantics, Cybersecurity & Services (SCS) group, they focus on ontologically well-founded and logically rigorous technology solutions for risk management in cybersecurity. PhD in Computer Science from Free University of Bozen-Bolzano, Italy Supervised by Giancarlo Guizzardi, Enrico Franconi, and Tiago Prince Sales With a prior background in Law and Philosophy of Law, their transition to Computer Science reflects an interdisciplinary approach to addressing societal challenges through information technology. They are part of the Digital Society Institute and have published QR code/vCard contact details for professional engagement.

Wei LiView profile

Professor

• Computer Security
• Network Security
• Artificial Intelligence
• +3 more

Wei Li is a Professor in the Department of Computing at Nova Southeastern University's College of Computing & Engineering. He joined NSU in 2005 after earning his Ph.D. from Mississippi State University. His research focuses on enhancing computer system security through interdisciplinary approaches, including network security, artificial intelligence applications, and software engineering practices. Dr. Li’s research areas encompass computer security, network security, software engineering, artificial intelligence, and database systems. His work bridges theoretical advancements and practical cybersecurity solutions, such as improving intrusion detection systems, analyzing social engineering attack vulnerabilities, and developing machine learning models for IoT security. His recent publications (2020–2025) address topics like password policy effectiveness, remote worker cybersecurity risks, and adaptive deep learning models for anomaly detection. These contributions highlight his focus on mitigating organizational cybersecurity risks through empirical studies and innovative technical solutions. No scientific awards or grants are explicitly listed in the provided information. His advising record remains unspecified, and no active labs or teams are mentioned.

Emily GrijalvaView profile

Associate Professor

• Leadership
• Narcissism
• Gender
• +4 more

Emily Grijalva is an Associate Professor in the Department of Organization and Human Resources at the University at Buffalo's School of Management. Her research focuses on leadership, narcissism, gender dynamics, and personality psychology. She holds a PhD in Management from the University of Illinois at Urbana-Champaign, along with an MA and BA in related fields. Her work explores the impact of narcissism on leadership effectiveness, team performance, and organizational behavior. Notable studies include investigations into gender differences in narcissism, motivation for leadership roles, and the 'dark side' of traditionally desirable personality traits. She has published widely in top journals like the Journal of Personality and Social Psychology and Academy of Management Perspectives. Awards: Includes the 2020 Honorable Mention for the William A. Owens Award, 2014 Best Article from Academy of Management Perspectives, and multiple grants. Editorial Roles: Editorial board member of Personnel Psychology (2017–present) and Academy of Management Collections (2020–present). Teaching: Focuses on human resources research methods. Her research extends to workplace creativity, technological entitlement, and personality development across the lifespan. She emphasizes empirical rigor, meta-analytic approaches, and real-world applications in organizational settings.

Laura K. StrawnView profile

Associate Professor

• Food Microbiology
• Food Safety
• Produce Safety
• +3 more

Laura K. Strawn is an Associate Professor in the Department of Food Science & Technology at Virginia Tech. Her research and extension work focuses on reducing foodborne pathogen contamination in the produce supply chain, with a 50-50 split between research and extension activities. She teaches FST 5034: Good Agricultural and Manufacturing Practices through the Virginia Tech Online Masters program. Ph.D., Food Science, Cornell University (2014) M.S., Food Science, University of Florida (2009) B.S., Food Science and Technology, University of California, Davis (2007) Her research interests include food microbiology, pathogen survival on agricultural surfaces, produce safety, and compliance with the Food Safety Modernization Act (FSMA). She develops mitigation strategies for pathogens like Listeria, Salmonella, and E. coli, and evaluates sanitation interventions for packinghouse equipment and harvest materials. Awards include the Larry Beuchat Young Researcher Award (2021), FDA Outstanding Service Award (2016), and multiple top honors in Virginia Cooperative Extension poster competitions. Her work emphasizes translating scientific findings into actionable guidelines for growers and distributors through extension programs. Grants and collaborations include studies on agricultural water management, cyberbiosecurity in fermentation, and FSMA training effectiveness. She advises students and serves on graduate committees, contributing to both academic and industry-focused training.

• Cybersecurity
• Information Security
• Privacy
• +3 more

Mark Heckman, PhD is a Professor of Practice in the CyberSecurity Engineering and Technology program at the University of San Diego. He holds MS and PhD degrees in Computer Science from the University of California, Davis, and is a Certified Information Systems Security Professional (CISSP). With over 30 years of experience spanning government/military systems, commercial IT security, and academic research, his work focuses on cybersecurity compliance, intrusion detection systems, and holistic security frameworks. He teaches at USD's Bridges Academy and actively publishes in cybersecurity education and maritime security domains. Education: PhD & MS in Computer Science (UC Davis) Research interests include cybersecurity best practices for home/commercial environments, privacy frameworks, and mitigation of systemic cybersecurity risks in critical infrastructure. His recent work critiques current educational approaches and explores maritime cyber compliance regimes. Articles emphasize practical applications of big data analytics in threat detection and systemic security policy design. While no formal advisees are listed, his teaching and publications reflect strong engagement with applied cybersecurity training and industry standards development.

Johanna T. GunawanView profile

Assistant Professor

• Dark Patterns
• Human-Computer Interaction
• Privacy Law
• +4 more

Johanna T. Gunawan is an Assistant Professor of Computer Science and Law at Maastricht University's Faculty of Law, affiliated with the Law and Tech Lab. Her research bridges human-computer interaction, design, and legal frameworks to address dark patterns, privacy erosion, and consumer protection gaps in digital systems. PhD in Cybersecurity (2024), Northeastern University MS in Cybersecurity (2021), ALIGN Scholar BA in Political Science & International Affairs (2019), Northeastern University Gunawan's research focuses on manipulative interface designs, digital asymmetries, and legal responses to privacy harms. Her work has influenced policy discussions at the OECD, UK Competition and Markets Authority, and US Federal Trade Commission. Industry experience includes cybersecurity roles at Akamai Technologies, Rapid7 LLC, Vimeo Inc., and Common Sense Media. Recent scientific contributions span dark pattern regulation under the EU Digital Services Act, privacy risks in gig economy platforms, and deceptive practices in voice/Social Robot interfaces. She co-leads the CHI 2025 special interest group on transdisciplinary dark pattern research.