Find Academic Supervisors

Hongyi ZhuView profile

Assistant Professor

• Artificial Intelligence
• Cybersecurity
• Mobile Health Analytics
• +6 more

Dr. Hongyi Zhu serves as an Assistant Professor in the Department of Information Systems and Cyber Security at the Alvarez College of Business, The University of Texas at San Antonio (UTSA), leveraging his Ph.D. from the University of Arizona and Bachelor's from Tsinghua University to advance interdisciplinary research at the AI-health-security intersection. Education: Ph.D. in Management Information Systems, University of Arizona Bachelor of Business Management, Tsinghua University His research pioneers artificial intelligence-based analytics for mobile health, mental health, and cybersecurity, utilizing deep learning and network analysis to address critical challenges in proactive threat intelligence and senior care. Publications span premier venues including MIS Quarterly and IEEE Transactions on Knowledge and Data Engineering, reflecting his multidisciplinary approach bridging computer science, information systems, and biomedical informatics. Analysis of his 15 most recent publications reveals a dominant focus on applying graph embedding and federated learning to cybersecurity vulnerabilities (40% of works), depression detection via sensor fusion (25%), and privacy-preserving AI frameworks (35%), with consistent methodology innovation in transfer learning and uncertainty quantification across health and security domains. Dr. Zhu teaches Computer Networking and Telecommunication Systems while maintaining active memberships in IEEE, ACM, AIS, and INFORMS, demonstrating commitment to both academic rigor and professional community engagement.

Jaime CamelioView profile

Professor

• Cyber-Physical Systems Security
• Smart Manufacturing
• Statistical Process Control
• +7 more

Jaime Camelio is a Professor at the University of Georgia's School of Electrical & Computer Engineering, specializing in cyber-physical systems security, smart manufacturing, and statistical process control. His work integrates advanced technologies like machine learning, reinforcement learning, and Bayesian inference to enhance manufacturing resilience and safety. He focuses on vulnerabilities in production systems, digital twin applications, and data-driven quality control. His research spans aerospace composites, IIoT-enabled worker well-being monitoring, and synthetic data frameworks for manufacturing simulations. Research interests include cybersecurity in additive manufacturing, occupational safety monitoring via statistical control charts, and innovative approaches to fault detection in assembly systems. He leads projects funded by NSF CPS initiatives, such as collaborative research on manufacturing security and cyber-physical vulnerability assessments. His work bridges theoretical advancements with real-world applications in aerospace, automotive, and industrial IoT sectors. Scientific contributions include frameworks for digital thread integration in product lifecycle management and NURBS-based statistical monitoring of manufacturing surfaces. Publications emphasize both technical innovations and systemic risk mitigation strategies for modern manufacturing ecosystems. His lab explores cutting-edge topics like LLM applications in manufacturing workflows and random sampling strategies to counteract cyber-physical attacks.

Armin RothView profile

Professor

• Management & Controlling
• Digital Business
• Performance Management
• +5 more

Prof. Armin Roth is a Professor of Management, Controlling, and Business Analytics at the Faculty of Informatics, Hochschule Reutlingen. He leads the 'Performance Management & Business Intelligence' research group and served on the Hochschulrat (University Council) until 2018. His expertise spans digital transformation, corporate performance management, and business analytics. He holds awards including 2nd place in the 'Professor of the Year' competition. Education: Extensive industry experience in management consulting and leadership roles before academia. No specific degree details provided. Research Focus: Digital business models, Industry 4.0 integration, holistic performance frameworks, and management cockpits. His work emphasizes strategic digitalization and cross-functional business intelligence systems. Publications Overview: Key contributions address Industry 4.0 implementation, digital strategy development, and performance management systems. Recent work explores digitalization's role in holistic corporate management (2020) and Industry 4.0's impact on production/logistics (2018). Awards: Professor of the Year (2nd place) Lehrpreis der Hochschule Reutlingen Advising & Grants: Advises on digital transformation strategies and Industry 4.0 adoption. No specific grant details provided. Actively involved in curriculum development for Wirtschaftsinformatik (BSc/MSc programs). Labs/Teams: Leads research initiatives in performance management and business intelligence through the Faculty's research infrastructure.

• Computational Intelligence
• Cyber Threat Intelligence
• Decision Support Systems
• +7 more

Dr Yuanchen Xu is a Lecturer in Computer Science in the Department of Computing & Informatics at Bournemouth University, Faculty of Science and Technology. He holds a PhD in Computer Science (2022) and an MSc in Computing from De Montfort University, and brings over 8 years of industry experience in full-stack software development. Research Interests: His work centers on computational intelligence, including fuzzy logic, rough set theory, neural networks, and grey systems, applied to complex real-world problems involving uncertainty and stochastic decision-making. His primary applications are in cybersecurity, particularly proactive incident response informed by cyber threat intelligence, and intelligent decision support systems. The recent publications reflect a strong focus on integrating business processes with cyber threat intelligence models, developing efficient computational methods using rough sets, and exploring human-centric intelligent systems such as motivation-aware e-learning tools. The research spans disciplines of cybersecurity, artificial intelligence, and human-computer interaction. Scientific Grants: Psychological aspects and cyber threat intelligence (BU Computing QR, awarded October 21, 2024) Teaching and Supervision: Dr Xu leads key units including Security Operations (SecOps) and Introduction to Information Systems Analysis. He also supervises undergraduate final year projects and postgraduate research students. He is actively involved in both undergraduate and postgraduate teaching profiles. Laboratory and Research Environment: While specific lab affiliations are not explicitly mentioned, his research is conducted within the Department of Computing & Informatics at Bournemouth University, likely involving collaboration with cybersecurity and AI research groups.

Tozammel HossainView profile

Assistant Professor

• Bioinformatics
• Health Informatics
• Social Media Analytics
• +3 more

Tozammel Hossain is an Assistant Professor at the University of North Texas. His research focuses on Bioinformatics, Health Informatics, Social Media Analytics, Event Forecasting, and Cybersecurity. He holds a Ph.D. and M.S. from Virginia Tech and a B.S. from Bangladesh University of Engineering and Technology. Education: Ph.D., Virginia Tech M.S., Virginia Tech B.S., Bangladesh University of Engineering and Technology Research Interests: Hossain’s work spans interdisciplinary areas including healthcare analytics, geopolitical event prediction, cybersecurity, and machine learning applications. He develops models for continuous blood glucose prediction, gene expression analysis, and ransomware attack detection. His methods often integrate social media data and temporal modeling for public health and security applications. Research Trends: His articles highlight advancements in LSTM networks for healthcare and event forecasting, federated learning in healthcare data, and hybrid systems for geopolitical analysis. Themes include personalized medicine, conflict prediction, and leveraging social media for syndromic surveillance. Labs & Teams: While specific lab affiliations are not listed, his projects suggest collaboration with interdisciplinary teams in healthcare informatics, cybersecurity, and computational biology.

• Electrical Power Systems
• Smart Grids
• Energy Economics
• +12 more

Ettore Francesco Bompard is a Full Professor at the Department of Energy (DENERG), Polytechnic University of Turin, where he conducts research and teaches in electrical power systems, smart grids, and energy transition. He serves as Scientific Advisor for the Partnership Agreement with ENEL and leads multiple research initiatives. His affiliations include the GUSEE and LAME research groups within DENERG, and he holds leadership roles in EU-funded projects such as NEST, DATA CELLAR, and Let’sGOv. He is also Scientific Director of the joint center for Energy Transition Modeling and Simulation between Politecnico di Torino and Shanghai Jiao Tong University. His research focuses on electrical power systems, energy economics, smart grids, and sustainable energy transitions , with particular emphasis on Mediterranean energy dynamics, electricity market design, urban energy resilience, and digital simulation tools. He integrates technical, economic, and geopolitical dimensions to support science-based policy decisions. His work contributes to SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action), addressing challenges in renewable integration, energy storage, and grid modernization. The recent publications reflect a strong trend in energy transition modeling, electricity market reconfiguration, smart grid integration, and policy support tools . His work combines simulation, real-time testing, and multi-criteria analysis to assess energy systems at local and regional scales, particularly in the Mediterranean. He develops platforms like ENEMED-Plat and RES-Plat to support decision-making for energy communities and renewable planning. His scientific recognitions include: 2020 MIT A+B Applied Energy Symposium - Best Paper Award Fellow, Chinese Society for Electrical Engineering (CSEE), 2019–present He is a member of the editorial board of Energy Informatics and has led numerous competitive research grants from EU programs (H2020, PNRR, EIT), private foundations, and commercial contracts. He supervises a diverse group of PhD students across electrical engineering, energy, and architecture disciplines, guiding research on topics such as energy storage, market design, and urban energy systems. He also contributes to non-commercial agreements with municipalities (e.g., Turin, Bari) on climate contracts and sustainable transition strategies. Bompard leads or participates in key research laboratories and collaborative networks, including the ENET-RT real-time co-simulation lab and the joint center with Shanghai Jiao Tong University. His work emphasizes glocal (global-local) energy transition, combining local energy communities with global simulation frameworks.

• Cyber Security
• AI
• Cryptography
• +6 more

Dr. Richard Ward is a Lecturer in Cyber Security at the University of South Wales, affiliated with the Faculty of Computing, Engineering and Science and the Computing, Cybersecurity, Mathematics and Informatics Research and Innovation Group. He holds a PhD in Evolution of Loosely Synchronized Spreading Codes in CDMA systems (2008). His research spans Cyber Security, AI, cryptography, and pedagogy. He leads BSc courses in Applied Cyber Security and Computer Security, teaching areas like secure coding, cryptography, and ethical hacking. Recent research focuses on IoT security, AI-driven risk assessment, and hardware vulnerabilities in Apple silicon. Education: PhD in Cyber Security (2008), University of South Wales Research interests include side-channel attacks, IoMT security, and cross-disciplinary AI applications. His work addresses UN Sustainable Development Goals related to innovation and infrastructure. He actively contributes to conferences like the European Conference on Cyber Warfare and Security. He supervises eight PhD students exploring topics such as automated vehicle security, IoMT compliance frameworks, and side-channel attack vulnerabilities. Recent publications address healthcare cyber threats, IoMT privacy frameworks, and AI supply chain risks. He participates in pedagogy research, presenting at USW Learning & Teaching Conferences (2024, 2022, 2020) and CELT events (2018). Teaching focuses on challenged-based learning and introductory cyber security education, including outreach to primary school students. He chairs USW’s Cyber Security Education Ecosystem initiatives and advises on governance frameworks for emerging technologies.

• Management Control
• Performance Management
• Organizational Performance
• +10 more

Celia Lemaire is a University Professor in Management Sciences at iaelyon School of Management, Université Jean Moulin Lyon 3, where she is affiliated with the Magellan Research Laboratory and the Finance and CCA Research Group. She holds full professorship and has authorization to direct research (HDR), indicating her senior academic standing. Institution: Université Jean Moulin Lyon 3 School: iaelyon School of Management Research Unit: Magellan Laboratory Research Group: Finance and CCA Email: celia.lemaire@univ-lyon3.fr Her research centers on management control, organizational and relational performance, and digital management devices, with a strong focus on the health sector—particularly emergency medicine and care trajectories for elderly patients. She investigates how digital tools can enhance care continuity and organizational efficiency in medical settings. Her work bridges management sciences with healthcare, gerontology, ethics, and public policy, reflecting a deeply interdisciplinary approach. The recent articles and projects highlight a consistent trend toward integrating digital innovation with human-centered care models. Her work explores performance measurement in emergency departments, leadership challenges in high-pressure medical environments, and the ethical use of technology in aging populations. These themes reflect broader concerns in public sector management, patient safety, and sustainable healthcare delivery. Her most notable scientific recognition is her appointment as a member of the Institut Universitaire de France (IUF) for 2023–2028, a prestigious distinction awarded to top-tier researchers in French universities. This award underscores her national and disciplinary impact. Member, Institut Universitaire de France (IUF), 2023–2028 Celia Lemaire is actively involved in advising interdisciplinary research initiatives and leading collaborative projects such as the INNOVEHPAD project and the SFMU leadership framework development. While specific grants are not detailed, her leadership in major national research efforts suggests substantial funding and institutional support. She supervises research and contributes to academic training in management sciences. She is a key member of the Finance and CCA Research Group within the Magellan Laboratory, engaging in collaborative, multidisciplinary research that connects management theory with real-world healthcare challenges. Her work is deeply embedded in applied and ethical research contexts, particularly in aging, emergency care, and digital transformation.

Patrick MayorView profile

Researcher

• Granular Physics
• Complex Systems Engineering
• Materials Science
• +3 more

Patrick Mayor serves as Head of Faculty Affairs for the School of Engineering (STI) at École Polytechnique Fédérale de Lausanne (EPFL), while concurrently holding roles as Coordinator of the STI Academic Evaluation Committee and Scientist in the PRN-MARVEL (NCCR MARVEL) administration. His institutional presence spans administrative leadership and research coordination within EPFL's engineering ecosystem. Research interests demonstrate a clear evolution from fundamental granular physics (2003-2008) to complex systems engineering (2010-2018). Early work established foundational insights into vibration-fluidized granular matter, Brownian motion analogies, jamming transitions, and impact cratering mechanics. Later contributions pivoted toward the Nano-Tera.ch initiative, focusing on engineering integrated systems for health monitoring, environmental sustainability, and energy infrastructure through nanotechnology applications. This trajectory reflects a strategic shift from theoretical physics toward applied transdisciplinary engineering solutions. Publication analysis reveals distinct thematic clusters: granular media studies predominantly appear in high-impact physics journals ( Nature , Physical Review Letters ), characterized by experimental investigations of non-equilibrium statistical mechanics. The Nano-Tera.ch series features in engineering and information technology venues, emphasizing system integration, sensor networks, and cyber-physical architectures. Both phases maintain rigorous methodological approaches while addressing increasingly complex real-world challenges. Administrative leadership positions indicate significant institutional responsibility, with Faculty Affairs oversight encompassing academic evaluations, strategic planning, and faculty development across EPFL's engineering school. PRN-MARVEL involvement connects to Switzerland's National Centre of Competence in Research, positioning Mayor at the intersection of academic governance and cutting-edge materials science initiatives. Research infrastructure engagement includes the PRN-MARVEL administration and Nano-Tera.ch consortium, facilitating cross-disciplinary collaboration between physicists, engineers, and computer scientists. These frameworks support large-scale projects addressing societal challenges through technological innovation, with Mayor contributing to both conceptual development and operational execution.

Elizabeth PolgreenView profile

Assistant Professor

• Programming Languages
• Program Synthesis
• Formal Verification
• +7 more

Elizabeth Polgreen is a Lecturer (~Assistant Professor) in the School of Informatics at the University of Edinburgh, where she conducts research in programming languages and formal methods, particularly program synthesis and verification. She is affiliated with the Laboratory for Foundations of Computer Science and contributes to the Programming Languages and Software Engineering research area. Her research focuses on formal program synthesis, leveraging techniques such as symbolic reasoning, genetic algorithms, and large language models to improve the scalability and automation of software verification. She explores applications in code modernization, tensor program lifting, and explainable AI. Her work bridges programming languages, AI, and formal methods to build trustworthy systems. Her recent publications (2020–2025) span top venues including PLDI, CGO, AAAI, CAV, OOPSLA, and NeurIPS, showing a strong trend in neuro-symbolic synthesis, grammar inference, and verification of AI and low-resource code. She has secured competitive funding, including a Royal Academy of Engineering fellowship and an Amazon Research Award. Scientific awards include: Royal Academy of Engineering Research Fellowship Amazon Research Award Best Paper Award at GPCE Distinguished Paper Award from CGO She advises multiple PhD students, including Yixuan Li, Alexander Brauckmann, and José Wesley de Souza Magalhães, often in collaboration with Professor Mike O'Boyle. Her research is supported by grants from the Royal Academy of Engineering and Amazon. She has delivered keynotes, tutorials, and a TEDx talk, contributing actively to outreach and education in formal methods. She leads a research group within the Laboratory for Foundations of Computer Science, focusing on trustworthy systems through synthesis and verification. Her team includes PhD students and collaborators working on cutting-edge topics in program analysis, AI for code, and compiler design.

• Security and Privacy
• Anonymous Communication
• Censorship Resistance
• +9 more

Tariq Elahi is a Lecturer in Security and the Internet of Things at the School of Informatics, University of Edinburgh. He is a faculty member of the Security, Privacy, and Trust (SecPrivTru) group and the Laboratory for Foundations of Computer Science (LFCS), and an affiliate member of the Institute for Computing Systems Architecture (ICSA). His research focuses on privacy, anonymity, and censorship resistance in digital communications, with applications in satellite networks, IoT, and end-to-end encrypted messaging systems. His primary research interests include: Secure and Private Satellite Communications Traffic analysis attacks and metadata protection Anonymous Communication & Censorship Resistance (Tor, Mixnets) Data-Driven Privacy Systems Engineering Privacy-preserving Machine Learning and AI Embedding Privacy into Network Infrastructure Recent publications demonstrate a strong trend toward developing flexible, resilient, and scalable privacy-enhancing technologies, leveraging machine learning for traffic analysis and obfuscation, and extending anonymity systems to satellite and large-scale messaging platforms. His work is frequently published at top venues such as CCS, USENIX Security, PETS, and NDSS. Notable scientific awards and grants include: National Research Centre Grant (£8.6M) as Co-I for "Protecting Citizens Online" New Investigator Award for "Feedback and Optimisation for Well-behaved Anonymous Communication Networks" Tariq Elahi is actively involved in advising and research leadership. He is currently hiring PhD students for projects on satellite network security, interoperability of PETs, private AI, and censorship resistance. He also contributes to the academic community as co-chair of the FOCI workshop. His teaching includes Computer Security and Research Methods in Security, Privacy, and Trust. He is affiliated with the following research groups and laboratories: Security, Privacy, and Trust (SecPrivTru) Laboratory for Foundations of Computer Science (LFCS) Institute for Computing Systems Architecture (ICSA)

• Software Engineering
• Cyber-Physical Systems
• Requirements Engineering
• +7 more

Prof. Dr. Thorsten Weyer is a leading academic at the Technical University of Central Hesse , serving as Head of the Institute for Programming Languages and their Application (IPA) and contributing to multiple academic governance bodies including the Permanent Commission of Inquiry for Good Scientific Practice and the Competence Center for Information Technology (KITE). He teaches computer science and software engineering, with a focus on model-based engineering of cyber-physical systems.

Rahamatullah KhondokerView profile

Professor

• Cybersecurity
• Digitalization
• Automotive Security
• +11 more

Prof. Dr.-Ing. Rahamatullah Khondoker is a Professor of Business Information Systems with a focus on IT Security and Digitalization at THM University of Applied Sciences . He leads the CYSECDIGITAL research group, specializing in cybersecurity solutions for digitalization, autonomous mobility, and smart systems. PhD candidates under his supervision include Adnan Kujovic, Kumar Saurabh, Md. Zahirul Islam, and Khandaker Mohammad Mohiuddin. Projects funded by Erasmus+, DAAD, and THM Strategic Fund include ZDayIIoTSec and CyModeB . He has collaborated with institutions like IIT Delhi, BUET, and IIIT Allahabad, and signed MOUs with universities in Bangladesh, India, and Thailand. Research Focus : His work bridges Cybersecurity and Digitalization , with key contributions in SDN/NFV security, automotive cybersecurity (ISO/SAE 21434), IIoT, and AI-driven threat modeling frameworks like STRIDE and TMAP. Recent Publications highlight trends in automotive cybersecurity , IoT security audits , zero-day exploit detection , and AI applications for intrusion detection . His research spans threat intelligence integration, blockchain for supply chains, and machine learning in precision agriculture. Scientific Contributions : Nominated for best paper awards at AINTEC 2014 and IEEE NetSoft 2016. Co-authored foundational works on SDN/NFV security (Springer, 2018) and Industrie 4.0 security (Springer, 2017). Industry Collaboration : Partnerships with Continental, ANSYS, DRASS, and others in automotive, IIoT, and cybersecurity domains. He also leads the Automotive Cybersecurity Academy and advises on digitalization policy.

• Blockchain Technology
• Cyber Security
• Computer Networks
• +6 more

Enis Karaarslan is a Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. With a distinguished academic career spanning over two decades, he has established himself as a leading expert in blockchain technology, cybersecurity, and decentralized systems. His educational background includes a Bachelor's, Master's, and Doctorate all from Ege University, completed between 1994 and 2008. Dr. Karaarslan's research interests focus on the intersection of emerging technologies and practical applications, particularly in blockchain for disaster management, cybersecurity systems, metaverse technologies, and AI applications. His work demonstrates a consistent pattern of addressing real-world challenges through technological innovation, with a strong emphasis on privacy preservation and decentralized architectures. Analysis of his publication record reveals a significant trend toward blockchain applications across various domains including disaster response, healthcare, voting systems, and identity management. His recent work shows increasing focus on metaverse technologies and digital twin applications, reflecting his ability to stay at the forefront of emerging technological paradigms. The breadth of his research spans from theoretical foundations to practical implementations, with numerous papers addressing performance metrics, security evaluations, and real-world case studies. Best Paper Award (2016) Multiple TÜBİTAK research projects as principal investigator or consultant Extensive editorial work for journals including Journal of Metaverse As an educator, Dr. Karaarslan has supervised numerous graduate students through their thesis work and teaches advanced courses in computer networks, decentralized systems, and cybersecurity. His research projects demonstrate strong industry and government collaboration, particularly with TÜBİTAK-funded initiatives addressing national security, privacy concerns, and technological infrastructure development. His laboratory work focuses on practical implementations of theoretical concepts, with emphasis on testbed development for blockchain applications and security evaluation frameworks.

• Artificial Intelligence
• Cybersecurity
• Security of AI
• +4 more

Isabel Cecília Correia da Silva Praça Gomes Pereira is a Coordinator Professor at the School of Engineering of the Polytechnic Institute of Porto (ISEP), where she serves as Director of the Master on Informatics Engineering and Advisor of ISEP Presidency for R&D. She is also a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development), a research unit ranked as Excellent by the Portuguese Science & Technology Foundation. Dr. Praça holds a PhD in Electrical and Computer Engineering - Industrial Informatics from the University of Trás-os-Montes e Alto Douro, and completed her post-doctoral studies in Artificial Intelligence - Multi-Agent Systems with support from the Portuguese National Science Foundation (SFRH/BPD/30111/2006). Her academic journey includes progressive appointments from Assistant to Adjunct Professor and finally to Coordinator Professor at ISEP. Her research focuses on Artificial Intelligence applied to cybersecurity and security of AI , with significant contributions to applying AI in various domains including cybersecurity (projects like AIDA, SAFE, VESTA), industry (SeCoIIA, Cyberfactory), and energy systems (SPET, MAS-Society). She leads a research team at GECAD working on these topics and has strong connections with over 100 companies and technology transfer centers across more than 30 countries. Analysis of her recent publications reveals a strong trend toward AI security, with particular emphasis on adversarial attacks against AI systems, secure implementation of AI in critical domains, and privacy-preserving AI techniques. Her work spans both theoretical foundations and practical applications across multiple sectors including energy, healthcare, and network security, demonstrating her ability to bridge academic research with real-world applications. Dr. Praça has been recognized as an expert by several prestigious organizations including the European Union Agency for Cybersecurity (ENISA), where she contributes to working groups on Security of AI and the European Cybersecurity Skills Framework. She also serves as an expert for NATO's Defence Innovation Accelerator for the North Atlantic (DIANA) and represents ISEP in the European Cybersecurity Organization (ECSO). As an educator, she teaches Machine Learning and Multi-agent Systems in the MSc in AI program, and Security of Communications and Infrastructures in the Cybersecurity branch of the MSc in Informatics. She currently supervises 4 PhD students in AI security and privacy and has guided 45 Master's theses, demonstrating her commitment to developing the next generation of researchers and practitioners in her field. Her research is supported by numerous international and national grants, including multiple Horizon Europe and Horizon 2020 projects where she serves as Principal Investigator or Co-PI. She has participated in over 35 R&D projects totaling significant funding, with a strong track record of translating research into practical applications through industry partnerships.