Find Academic Supervisors

Mehmet Fatih TuysuzView profile

Senior Lecturer

• Mobile and Wireless Multimedia Communications
• QoE Optimization
• Mobile Edge Computing
• +4 more

Mehmet Fatih Tuysuz is a Senior Lecturer at Northumbria University's Department of Computer and Information Science, joining in August 2020. He holds a PhD from Gebze Technical University (2013) and previously worked as a Research Assistant (2007–2013) and Assistant Professor (2013–2018) in Turkey. He also served as a Visiting Research Fellow at Middlesex University (2019). His research focuses on Mobile and Wireless Multimedia Communications, QoE optimization, Mobile Edge Computing for 5G/6G, Energy-efficient Techniques, Handover Strategies, and Software-Defined Networks. He has secured funding from national/international bodies and published extensively in top-tier venues. Recent work explores Edge Computing advancements for 6G, low-latency data aggregation, and QoE-driven video streaming. His articles address challenges in network resource optimization, sustainable IoT, and vehicular edge computing. He actively mentors students and welcomes applications for PhD/Master's programs in his research areas.

• Smart Grids
• Sustainable Energy Systems
• Information and Communication Technologies for Smart Grids
• +6 more

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

• Requirements Engineering
• Agile Software Development
• Security Requirements
• +3 more

Maya Daneva is a Professor at the University of Twente , Netherlands, specializing in Requirements Engineering , Agile Software Development , and Software Security . She has extensive contributions to empirical studies on quality requirements in distributed agile projects, security risk frameworks for cyber-physical systems, and crowdsourced requirements engineering. Key Research Areas: Agile quality requirements, security ontology modeling, DevOps architecture, user feedback analysis for mobile apps Recent Article Trends: Focus on domain modeling pain points, phishing attack ontologies, personality-driven security perceptions, and empirical validation of requirements checklists Leadership: Organizer of EmpiRE workshops, CreaRE workshops, and REFSQ doctoral symposia

• Sustainable Logistics
• Operations Research
• Disaster and Crisis Management
• +9 more

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

• User Experience
• Human-Robot Interaction
• Robotics
• +6 more

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

Diego Regruto TomalinoView profile

Associate Professor

• System Identification
• Robust Control
• Convex Relaxation Techniques
• +5 more

Diego Regruto Tomalino is an active Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin, Italy, with contact details +39 0110907077 and diego.regruto@polito.it. He holds leadership roles in the IEEE Control Systems Society as Scientific Committee member of the Technical Committee on System Identification and Adaptive Control (2008-present) and served as its President (2013-2015). His work spans academic research, teaching, and international collaboration within control engineering. Education : Laurea in Electronic Engineering, Politecnico di Torino (2000) Ph.D. in Systems Engineering, Politecnico di Torino (2004) Research Interests : System Identification : Specializing in set-membership, sparse, and LPV techniques for nonlinear systems with applications in automotive and biomedical domains. Optimization & Control : Developing convex relaxation methods for model predictive control, robust control algorithms, and electrified vehicle propulsion systems. Control Education : Innovating through remote laboratories and industrial platforms to enhance engineering pedagogy globally. Publication Trends : Recent work (2021-2024) focuses on sparse optimization for cyber-physical security and electrified vehicles, extending set-membership identification to continuous-time systems, and educational frameworks. Dominant fields include control theory, optimization, and automotive applications with increasing emphasis on data-driven methods and sparse computing. Scientific Awards : No specific prizes, medals, or fellowships were documented in the provided texts. Advising and Grants : PhD Supervision : Alice Re (2024-present, sparse optimization for identification), Francesco Ripa (2023-present, electric vehicle propulsion management), Simone Pirrera (2021-2025, dynamical systems learning). Research Projects : Principal investigator for OpThermEV (2021-2022) on thermal management of electric vehicles, plus corporate-funded automotive research initiatives. Labs and Teams : Core member of the SIC (System Identification & Control) research group and LAB 11 at DAUIN. Leads international control education collaborations, notably a remote laboratory partnership between Asian and European institutions.

Gijs van DijckView profile

Professor

• Law and Artificial Intelligence
• Data-Driven Analysis
• Empirical Legal Research
• +3 more

Gijs van Dijck is a Professor of Private Law at Maastricht University's Faculty of Law, where he heads the Maastricht Law and Tech Lab and serves as a Principal Investigator at the Brightlands Institute for Smart Society (BISS). His work bridges law and technology, focusing on artificial intelligence, data-driven legal analysis, and empirical research in contract, tort, and insolvency law. He has published in top-tier journals like the Oxford Journal of Legal Studies and collaborated with institutions such as Stanford University and the Netherlands eScience Center. His research explores the intersection of legal theory and computational methods, including network analysis of human rights precedents, hybrid retrieval systems for multilingual legal texts, and ethical frameworks for AI in law. Recent publications emphasize regulatory challenges in cybersecurity, open-texture in legal concepts, and responsible AI applications in jurisprudence. Van Dijck actively contributes to legal scholarship as a journal editor and advisor, while his teaching covers computational legal research and core private law subjects. His work reflects a commitment to interdisciplinary innovation in legal studies.

André NitzeView profile

Professor

• Internet of Things
• Digital Business Models
• Software Engineering
• +9 more

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

• Business Process Management
• Process Mining
• Object-Centric Process Mining
• +6 more

Amin Jalali is an Associate Professor of Computer and Systems Sciences at Stockholm University, specializing in business process modeling, analysis, and management. He is affiliated with the Department of Computer and Systems Sciences within the Faculty of Social Sciences, where he serves as a board member and manages three graduate courses: Business Process Design and Intelligence, Business Process and Case Management, and Data Warehousing. Institution: Stockholm University Department: Department of Computer and Systems Sciences (DSV) Research Groups: Natural Language Processing Research Group and PRECIS (Process, Requirements, Enterprise, Capability, Information Systems modelling) His research focuses on business process analysis through model-based and data-driven techniques, with particular emphasis on process simulation, process mining, event knowledge graphs, and object-centric process mining. He has led numerous research projects across healthcare, education, and finance domains. His work includes significant contributions to the development of NLP methods involving large language models, with focus on privacy, explainability, and domain adaptation. Jalali's research output shows a strong trend toward practical applications of process mining techniques, particularly in healthcare contexts like drug-drug interaction analysis and elderly care. More recently, his work has expanded into blockchain applications for fraud detection, motor imagery signal classification, and advanced object-centric process mining approaches. His publications span both theoretical contributions to business process management frameworks and practical implementations in real-world settings. He has extensive industry experience in designing and implementing Business Intelligence and Big Data Analytics solutions, which informs his academic work and teaching approach. His research has been published consistently from 2012 through 2024, demonstrating sustained scholarly productivity in his field. Dr. Jalali has contributed significantly to the development of tools and libraries for process mining, including the dfgcompare library for process variant analysis and implementations for object-centric process mining. His work bridges academic research with practical applications, particularly evident in healthcare projects like the DDIs-Graph system for identifying drug-drug interactions.

• Power and Energy Systems
• Condition Monitoring
• Fault Diagnosis and Prognosis
• +5 more

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

• Military Strategy
• Artificial Intelligence
• Data Science
• +5 more

Benjamin Jensen is Professor of Strategic Studies at Marine Corps University School of Advanced Warfighting and holds dual roles as Director of the Futures Lab and Senior Fellow in the Defense and Security Department at the Center for Strategic and International Studies (CSIS). At CSIS, he leads AI/machine learning research on warfare evolution and designs scenario-based wargames. At MCU, he researches future conflict and teaches operational art. His research explores military innovation, AI integration in battle networks, cybersecurity, geopolitical competition, and gray-zone tactics. Recent work analyzes landpower evolution, China-Taiwan tensions, and Russia-Ukraine dynamics through data-driven frameworks. Jensen holds a PhD from American University and MA/BA from University of Wisconsin-Madison. He serves as a U.S. Army Reserve officer with command experience and authored five books including Information at War: Military Innovation, Battle Networks, and the Future of Artificial Intelligence (2022). Scientific Awards: Frank E. Petersen Chair for Emerging Technology (current) He directs CSIS Futures Lab pioneering AI-wargaming integration and leads MCU's future war research program. Previously served as Senior Research Director for the U.S. Cyberspace Solarium Commission.

Okan TopçuView profile

Professor

• Modeling and Simulation
• Distributed Simulation
• Agent-Based Simulation
• +9 more

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

Nitin AgarwalView profile

Professor

• Social Computing
• Behavior-Cultural Modeling
• Collective Action
• +6 more

Nitin Agarwal is the Jerry L. Maulden-Entergy Chair & Donaghey Distinguished Professor of Information Science at the University of Arkansas – Little Rock (UALR), where he has been a faculty member since Fall 2009. He serves as the Founding Director of the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) and holds a Faculty Fellowship at the International Computer Science Institute, University of California, Berkeley. His work spans social computing, behavior-cultural modeling, collective action, and social cyber forensics. Education: Ph.D. in Computer Science, Arizona State University (2009) Bachelor of Technology in Information Technology, Indian Institute of Information Technology (2003) Dr. Agarwal’s research focuses on understanding digital/cyber social behaviors, particularly coordinated disinformation campaigns. He has secured over $25 million in federal grants from agencies like DoD, DARPA, and NSF. His tools (Blogtracker, VTracker) are used by NATO, DHS, and WHO. Recent work includes modeling toxicity propagation, analyzing algorithmic biases, and combating misinformation via AI-driven frameworks. His publications cover social cyber forensics, AI, and computational epidemiology, with 11 books and over 300 peer-reviewed articles. His 2025 articles emphasize YouTube’s recommendation algorithms, Instagram’s visual media impact, and TikTok’s role in political mobilization. Themes include anomaly detection, semiotic analysis, and toxicity mitigation using epidemiological models. Scientific Awards: University-wide Faculty Excellence Awards (2015, 2021) Social Media Educator of the Year (2015) NATO Innovation Hub Top 10 Solution (2021) WHO Recognition for COVID-19 Misinformation Tracker (2022) IEEE Senior Member (2022) Dr. Agarwal advises Little Rock-based FinTech firms and collaborates with global governments and defense agencies. His COSMOS lab leads projects on cognitive warfare, disinformation, and social network simulations, supported by extensive media coverage in Bloomberg, US News, and local outlets.

Sérgio NunesView profile

Professor

• Information Security
• Risk Management
• Cybersecurity
• +3 more

Sérgio Nunes is a faculty member at Instituto Superior de Economia e Gestão (ISEG) , Universidade de Lisboa. He holds a Ph.D. in Information Systems Management (2018) and M.Sc. degrees in Information Technology and Information Security (2009). His academic career includes teaching roles in Cybersecurity , Information Technology , Big Data Analytics , and Information Systems Architecture for both undergraduate and graduate programs. Education Ph.D. in Information Systems Management (ISEG-UTL, 2018) M.Sc. in Information Security (Faculdade de Ciências da Universidade de Lisboa, 2009) B.Sc. in Computer Engineering (Universidade Autónoma de Lisboa, 2003) His research focuses on Information Security , Risk Management , and Human Factors in Cybersecurity . He has published extensively on these topics, including journal articles in Journal of Information System Security , book chapters, and conference proceedings. His 2019 systematic literature review on Information Security Risk Management has become a foundational reference in the field. Over the past decade, Nunes has supervised multiple Master's theses on topics including: Cybersecurity Risk Management , Supplier Cybersecurity Risks , CISO Function , and Security Policy Implementation . His work bridges academic research with practical application, evidenced by practitioner presentations at events like the CISO 360 Congress and InfosecWeek . He contributes to academic infrastructure through involvement in ISEG's research labs , including the Data Lab , Futures Lab , and Policy Lab . His publications reveal consistent focus areas: Risk Quantification , Security Governance , Human-Centric Cybersecurity , COBIT Frameworks , and ITIL-based Process Optimization .

Mario CaldeiraView profile

Professor

• Information Systems
• Cybersecurity
• Quantum Technologies
• +7 more

Mário Caldeira is a faculty member at ISEG – Lisbon School of Economics and Management, University of Lisbon (ULisboa), where he teaches and conducts research in information systems, digital transformation, and cybersecurity. He also holds a professional role as Associate Partner at Deloitte Technology, Portugal, bridging academic insights with industry practice. Institution: University of Lisbon School: Lisbon School of Economics and Management Professional Affiliation: Deloitte Technology, Portugal His research focuses on the strategic use of information systems in organizations, with recent emphasis on quantum technologies and their implications for cybersecurity. Key areas include post-quantum cryptography, big data analytics, digital transformation, and enterprise IT governance. His work often employs case study methodology across sectors such as banking, telecommunications, and public administration. His recent publications (2024) highlight the urgency of preparing for quantum-enabled cyber threats. These works analyze how quantum computing may break classical encryption and advocate for organizational readiness through post-quantum cryptography and quantum key distribution. Earlier research explores benefits realization from IT implementations, CRM adoption, and robotic process automation, showing a consistent focus on deriving business value from technology investments. He has supervised over a dozen Master’s and PhD students on topics including RPA in banking, ERP systems, big data in healthcare, and quantum technology impacts. His teaching portfolio includes courses such as Digital Transformation and Sustainability, Management Information Systems, Enterprise Analytics, and Research & Development Seminars at both undergraduate and graduate levels. João Nuno Esteves Pina – Framework for ISO/IEC 27001 implementation Maria Paula Bastos da Silva Batista – Dual-use IP and export controls Flávio Alexandre Costa Romão – Big data business benefits Ana Isabel Manuel Duarte – Socioeconomic impact of quantum tech in Portugal His scientific contributions span journals such as the Journal of Information System Security , European Journal of Management Studies , and Industrial Management and Data Systems . Conferences include MCIS and UKAIS. His work reflects a strong applied orientation, combining theoretical rigor with practical relevance in technology management and information security.