Find Academic Supervisors

Balazs VedresView profile

Professor

• Network Science
• Data Science
• Sociology
• +7 more

Balazs Vedres is a **Professor** at the **Central European University (CEU)**, with a joint appointment in the **Department of Network and Data Science**. His research integrates network science, data science, and social theory to explore creativity, innovation, and historical processes in collaborative networks. He holds a **PhD in Sociology from Columbia University** and an **MA in Economics from Corvinus University**. **Research Interests**: Focuses on structural dynamics in creative fields (e.g., jazz, video games, open-source software), gender inequality in collaborative platforms, historical network evolution, and the impact of social bots on human collaboration. He analyzes how network configurations like *structural folds* and *forbidden triads* drive innovation and creativity. **Awards**: Elected **Member of the European Academy of Sociology (2017)**, recognizing his contributions to sociological research. His work bridges computational methods with sociological theory, as seen in his publications in *American Journal of Sociology* and interdisciplinary journals. **Projects**: Leads initiatives like *Gendered Creative Teams: From Marginality to Success* and *Ceunet/Indra Mapping European Network Science*. His research often involves empirical studies of transnational activism, entrepreneurial networks, and digital platforms. **Labs/Teams**: Active in CEU’s **Data and Network Dynamics Studies (DNDS)** group, fostering interdisciplinary collaboration in computational social science. His work emphasizes the interplay between global economic integration and local developmental agency.

Myropi GarriView profile

Senior Lecturer

• International Business
• Strategic Management
• Foreign Direct Investment (FDI)
• +6 more

Myropi Garri is a Senior Lecturer in Strategic Management and International Business at the University of Portsmouth's Faculty of Business & Law, within the School of Strategy, Marketing and Innovation. She serves as the Global DBA Course Director and supervises PhD students. Her research focuses on strategy and international business, with emphasis on Foreign Direct Investment (FDI), institutional influences, sustainability, and geopolitical dynamics. She has contributed to over 20 peer-reviewed publications and led projects such as the 'Dynamic Capabilities building in Ukrainian SMEs for post-war restoration' and the Portsmouth City Council-funded 'AI Leadership Skills Bootcamp.' Her work addresses UN Sustainable Development Goals (SDGs), particularly in sustainable development and global economic equity. Garri has received the Alan M. Rugman Most Promising Young Scholar Award (2016) and frequently presents at international conferences, including a 2024 invited talk at the University of Macedonia in Greece. Key research themes include configurational theorizing, institutional theory, dynamic capabilities, and resource-based strategies. Her projects often involve cross-disciplinary collaborations, such as analyzing FDI motives in South Korea and exploring SME resilience in post-war Ukraine.

• 5G/6G Networking
• Network Slicing
• Intent-Based Networking
• +5 more

Adlen Ksentini is a Professor at EURECOM, a leading graduate school and research center in Sophia Antipolis, France, specializing in digital science and communication systems. His extensive research focuses on next-generation mobile networks (5G/6G), network management, and the integration of artificial intelligence with telecommunications infrastructure. Dr. Ksentini actively contributes to major EU research initiatives including 6G-BRICKS and AC3, serving as a key researcher and project leader in the development of future network architectures. Dr. Ksentini's research interests center around network slicing, intent-based networking, edge computing, and the application of machine learning to network management problems. His work bridges theoretical advancements with practical implementations in 5G/6G systems, with particular emphasis on zero-touch network management, energy efficiency optimization, quality of service assurance, and the integration of large language models with network operations. His research has significantly contributed to the development of O-RAN (Open Radio Access Network) frameworks and the evolution of network automation. His recent publication trends reveal a strategic shift toward AI-native network architectures, with increasing focus on integrating large language models (LLMs) with network management systems. His work demonstrates a clear progression from traditional network management approaches to more autonomous, AI-powered systems capable of intent-based configuration, self-optimization, and predictive maintenance. The publications show strong emphasis on practical implementations within the 6G research ecosystem, addressing critical challenges in network slicing, resource allocation, and energy efficiency. As a research supervisor, Dr. Ksentini mentors several PhD students including Abdelkader Mekrache, Karim Boutiba, Bouziane Brik, and Houda Hafi, who frequently appear as co-authors on his publications. His research is primarily funded through major EU research projects such as 6G-BRICKS (Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies) and AC3 (which focuses on Cloud Edge Continuum). Dr. Ksentini is actively involved with the 6G-BRICKS project consortium and the AC3 project team, where he contributes to developing next-generation network architectures that integrate communication, computing, and sensing capabilities. His work within these projects focuses on creating reusable testbed infrastructures and addressing security and trust management challenges in the cloud-edge continuum.

Tien N. NguyenView profile

Professor

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +9 more

Tien N. Nguyen is a Professor in the Computer Science Department at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He has been actively contributing to the software engineering research community since 2005, with significant publications and service to major conferences including ASE, ICSE, and ESEC/FSE. His extensive research portfolio spans multiple areas at the intersection of artificial intelligence and software engineering. Dr. Nguyen's research focuses on AI/ML4Code, encompassing Machine Learning, Natural Language Processing for Software Engineering and Software Security. His work specifically addresses Program Analysis, Software Evolution and Mining, Software Security, Software Maintenance, Mining Software Repositories, Version and Configuration Management, and Web Code Analysis and Security. His research has been consistently funded by multiple NSF grants including NSA NCAE-C-002-2021, CNS-2120386, CCF-1723215, CCF-1723432, CNS-1723198, and others dating back to CCLI-0737029. His recent publications demonstrate a strong trend toward leveraging large language models for various software engineering tasks including program analysis, bug detection, code completion, and automated program repair. The research spans both theoretical foundations and practical applications, with numerous papers accepted at top-tier conferences across multiple years. His scientific contributions have been recognized with several prestigious awards: ACM SIGSOFT Distinguished Paper Award at FSE 2024 IEEE Computer Society TCSE Distinguished Paper Award at SANER 2022 ACM SIGSOFT Distinguished Paper and ASE Best Paper Award at ASE 2014 ACM SIGSOFT Distinguished Paper Award at ASE 2012 ACM SIGSOFT Distinguished Paper Award at ESEC/FSE 2009 Dr. Nguyen has served in numerous leadership roles including Program Co-Chair for ICSE 2020 Demonstrations, Doctoral Symposium Co-Chair for ESEC/FSE 2021, NIER Track Chair for ASE 2020, and Tutorials Co-Chair for ASE 2024. He has received multiple NSF grants supporting his research in software analysis, mining, and security. His work with the Boa infrastructure for ultra-large-scale code mining has established significant infrastructure for the research community. His laboratory focuses on AI for software engineering, with particular emphasis on program analysis, software security, and mining software repositories. The research group develops techniques that bridge the gap between artificial intelligence and practical software engineering challenges, creating tools that are both theoretically sound and practically applicable to real-world software development.

Ann VereeckeView profile

Professor

• Supply Chain Management
• Manufacturing Strategy
• Global Manufacturing Networks
• +4 more

Ann Vereecke is a Full Professor and Partner at Vlerick Business School, concurrently serving as a Professor at Ghent University. She holds a Doctorate in Management from Ghent University, an MBA from Vlerick, and a Masters in Engineering. As Director of the Research Centre for People in the Smart Digitised Supply Chain, she focuses on Industry 4.0, digital technologies, and global supply chain strategies. Her expertise spans operations management, logistics, and strategic manufacturing networks. She teaches MBA, Master’s, and executive programs at Vlerick, emphasizing practical applications for industry. Her research explores supply chain digitization, international manufacturing strategies, and the integration of digital twins and Industry 4.0 technologies. Recent work highlights trends in smart supply chains and the transformative impact of AI-driven solutions. She actively advises companies across industries through executive education and research projects. Ann serves on corporate boards (WhatsCooking?, bpost, North Sea Port, Tessenderlo Group) and editorial boards (International Journal of Operations and Production Management). Her board roles reflect her expertise in operational excellence and strategic governance. Her articles analyze supply chain collaboration, social responsibility in logistics, and the dynamics of global manufacturing networks. Recent insights address digital twins in supply chain resilience and Industry 4.0 adoption strategies.

Sara ShafieeView profile

Researcher

• Product Configuration Systems
• Manufacturing Engineering
• Artificial Intelligence Applications
• +5 more

Sara Shafiee is a Senior Researcher at the Department of Civil and Mechanical Engineering , Technical University of Denmark (DTU) . She specializes in product configuration systems, manufacturing engineering, and AI-driven innovation. Her work bridges technical systems with organizational agility, emphasizing sustainability and customer-centric design. External Roles: Founder & CEO of DivERS (Jan 2021–) External Lecturer at Copenhagen Business School (2022–2024) Senior Business Consultant at Haldor Topsoe AS (2017–2019) Research Focus: Her work addresses challenges in product configuration systems, generative AI applications, and sustainable construction. Key themes include: Optimal product design through recommendation systems Agile methodologies in knowledge-intensive development Environmental impact monitoring via configurators Publications Trends (2023–2025): Recent work explores AI-driven manufacturing optimization, consumer-centric innovation strategies, and the integration of environmental monitoring into design systems. High-impact areas include generative AI applications (13K+ downloads) and modular construction configurators. Awards: Agnes & Betzy Award (2025) Nordic Women in Tech Leadership Award (2022) Best Digital Startup (Venture Cup Denmark, 2021) Innovation Fund Denmark Role Model (2018) Advising & Grants: Supervised PhD projects on recommendation systems and configurator design. Lead PI of the RECODE project (DFF Grant DKK 10M+, 2024–2027) focusing on deep learning for engineer-to-order systems. Labs & Teams: Core member of DTU’s Design and Manufacturing Systems group, collaborating with industry partners like Haldor Topsoe and DivERS to develop scalable configurator solutions.

Nuno Fernandes CrespoView profile

Associate Professor

• International Business
• Entrepreneurship
• International Entrepreneurship
• +3 more

Nuno Fernandes Crespo is an Associate Professor at the Department of Strategic Management and Marketing, Lisbon School of Economics & Management (ISEG), University of Lisbon. He holds a PhD in Management (2013), a Master's in Management and Industrial Strategy (2004), and a Bachelor's in Management (1999) from ISEG. His research focuses on International Business, Entrepreneurship, and Strategic Agility in international new ventures (INVs), particularly during crises. He has published extensively in journals like International Business Review , Journal of International Management , and Technological Forecasting & Social Change . His 15 most recent works (2023–2025) explore themes including: Business model innovation during crises Supplier-country image effects in B2B marketing Sustainable entrepreneurship in family firms Digitalization and early internationalization strategies Country-of-origin stereotypes in industrial marketing Dynamic capabilities in INVs He supervises Master's students in topics spanning internationalization, digital transformation, family business strategy, and innovation. Professional roles include coordinating the Master's in Management and Industrial Strategy (2016–2022), serving on ISEG’s Executive Commission, and leading the Doctoral Program in Management (2018–2022). His methodology integrates empirical research, mixed methods, and configurational approaches.

• Explainable Artificial Intelligence
• Industrial Machine Learning
• Business Process Management
• +6 more

Adeel AHMAD is an active Associate Professor (Maître de Conférences) conducting cutting-edge research at the intersection of artificial intelligence, industrial applications, and business process management. His academic work demonstrates strong interdisciplinary connections between computer science, industrial engineering, and business informatics. Dr. AHMAD's research interests span Explainable Artificial Intelligence (XAI), Industrial Machine Learning, Business Process Management, Ontology-Based Reasoning, and Logistics Optimization. His work focuses on developing practical AI solutions for industrial contexts, particularly in Industry 4.0 environments where human-AI collaboration is essential. He has made significant contributions to meta-learning approaches for automated algorithm selection and configuration, with particular emphasis on making these systems transparent and interpretable for domain experts. His publication record shows a clear trajectory toward integrating explainability into industrial AI systems, with recent work focusing on conversational recommendation systems for cyber-physical environments. The research demonstrates consistent evolution from foundational work in business process analysis toward sophisticated AI applications in industrial settings. Active research leadership in Explainable AI for industrial applications Significant contributions to meta-learning frameworks for automated machine learning Interdisciplinary approach bridging computer science, industrial engineering, and business processes Strong publication record in top-tier conferences and journals Dr. AHMAD demonstrates strong collaborative research patterns, frequently working with colleagues including Mourad Bouneffa, Moncef Garouani, and other researchers in the French academic community. His work shows particular relevance to manufacturing, logistics, and cyber-physical systems where AI must work alongside human domain experts.

Vernet LasradoView profile

Lecturer

• Operations Research
• Manufacturing Systems
• Industrial Engineering
• +3 more

Vernet Lasrado is a Lecturer at the University of Central Florida (UCF), affiliated with the Department of Industrial Engineering and Management Systems (IEMS) within the College of Engineering and Computer Science. His primary research focuses on manufacturing systems optimization, technology transfer, and economic policy analysis related to building codes. He holds a Ph.D. in Industrial Engineering and Management Systems from UCF. Education: PhD in Industrial Engineering and Management Systems, University of Central Florida (2000s). Research interests include operations research applications in facility layout design, conveyor system optimization, semiconductor manufacturing automation, and policy impacts of building regulations. His work bridges theoretical models (e.g., queueing theory, genetic algorithms) with real-world industrial challenges. Recent studies examine university incubator effectiveness and economic consequences of delayed building code implementations. His publications span topics from material handling system design to phase transition simulation methods. Notable contributions address closed-loop conveyor optimization using genetic algorithms and crossover placement strategies in semiconductor fabs. No awards or grants are listed in the provided materials.

Rebecca DziedzicView profile

Assistant Professor

• Asset Management
• Water System Sustainability
• Infrastructure Resilience
• +5 more

Rebecca Dziedzic is an Assistant Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University. Her research focuses on asset management, water system sustainability, and infrastructure resilience. She holds a PhD in Civil and Environmental Engineering from the University of Toronto. Dr. Dziedzic's work integrates machine learning, data science, and policy analysis to address challenges in urban infrastructure systems. Her research explores topics such as water distribution network optimization, climate change adaptation in infrastructure, and circular economy strategies for construction. Recent projects include predicting water main breaks using multivariate models, developing frameworks for energy-efficient pump operation, and assessing carbon footprints in industrial facilities. Dr. Dziedzic supervises graduate students in Civil Engineering (MASc/PhD) and maintains an active research group through the UrbanLinks initiative. Her work has been published in over 30 peer-reviewed articles, with a strong focus on smart city technologies, disaster risk reduction, and sustainable infrastructure design.

Matthew HertzView profile

Teaching Professor

• Computer science education
• runtime systems
• dynamic memory management

Matthew Hertz is a Teaching Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on computer science education, runtime systems, and dynamic memory management. Education: PhD, Computer Science, University of Massachusetts Amherst, 2006 MS, Computer Science, University of Massachusetts Amherst, 2001 BA, Computer Science, Carleton College, 1997 Research interests span computer science education and systems optimization. His educational research investigates learning factors in introductory programming courses, develops pedagogical tools like CloudCoder for programming exercises, and analyzes failure rates in CS1 courses. In systems research, he focuses on memory management innovations including garbage collection algorithms, adaptive resource allocation, and performance optimization in shared environments. Publications show dual focus: recent work emphasizes educational data analysis and programming pedagogy while earlier research concentrates on memory management efficiency and runtime systems. Trends include automated assessment tools and adaptive algorithms for resource-constrained environments. No scientific awards reported. No advising or grant information available. No labs or teams mentioned in available data.

Oluremi B. AyokoView profile

Associate Professor

• Conflict Management
• Emotions
• Leadership
• +8 more

Associate Professor Remi Ayoko (Oluremi B. Ayoko) is a Senior Fellow of the Higher Education Academy working in the Management Discipline at the UQ Business School, University of Queensland. With expertise in conflict management, emotions, leadership, and workplace physical environments, she leads the Next Generation of Workspaces Research Network and chairs the UQ Cultural Inclusion Council. PhD in Management from University of Queensland Senior Fellow - Higher Education Academy Her research explores how physical workspaces influence employee wellbeing, productivity, and organizational outcomes; conflict dynamics in diverse teams; and leadership practices in hybrid work environments. Current projects examine the intersection of AI surveillance, cybersecurity behaviors, and workspace design. Recent publications investigate territoriality in organizational change (2024), diversity-inclusion linkages (2023), open-plan office communication (2023), and noise reactions in modern workspaces (2023). Her work spans organizational behavior , leadership studies , and workplace ergonomics . Scientific contributions include: Australian Research Council Discovery Grant Co-editor of Handbook of Conflict Management Research and Organizational Behaviour and the Physical Environment of Work Editor-in-Chief of Journal of Management and Organization (2019-2021) Current editorial board member for International Journal of Conflict Management and Strategic Change Professional service includes convening research networks, chairing diversity councils, and presenting workplace environment insights through international media channels. She actively contributes to academic societies including the Academy of Management and Australian and New Zealand Academy of Management.

Peter DanholtView profile

Associate Professor

• Sociotechnical perspectives on work, management and technology
• IT in the health service
• Working practice and the use of IT
• +13 more

Peter Danholt is an Associate Professor at the School of Communication and Culture, Aarhus University, affiliated with the Department of Digital Design and Information Studies, the Centre for Science-Technology-Society Studies, and the SHAPE – Shaping Digital Citizenship research initiative. His work spans multiple interdisciplinary domains, focusing on the sociotechnical dimensions of digital systems in healthcare, welfare, and organizational contexts. His research interests include IT in healthcare , pervasive computing , gender and technology , organizational change , and qualitative research methods . He employs ethnographic and fieldwork-based approaches to study how digital technologies reshape work practices, citizenship, and care relations. His work often draws on Science and Technology Studies (STS), Actor-Network Theory, and relational ontologies. The recent publications highlight a consistent focus on digital healthcare systems (e.g., Teledialogue), data-driven governance , and the ethical implications of surveillance in welfare . Themes such as vulnerability, privacy, and citizen agency recur across his research, particularly in projects involving digital interventions in social work and patient care. Principal Investigator : Shaping Digital Citizenship – SHAPE (Independent Research Fund Denmark, 2022–2023) Collaborative Projects : CDC: Cultures of Data Collaboration , Teledialog , Håndhygiejne projektet , Sundhedsbarometer projektet He has contributed extensively to academic discourse through journal articles, conference papers, and book chapters, with a strong emphasis on ethnographic depth and theoretical innovation. His public engagement includes media contributions on AI, digital ethics, and urban technology. He has participated in organizing workshops and conferences, including EASST2010 and SHAPE Workshop (2024), and has delivered lectures on technoscience, surveillance, and welfare technology. His collaborations extend across Denmark and internationally, reflecting a robust network in STS and digital society research.

• Economics of Technological Change
• Science and Technology Policy
• Industrial Organization
• +5 more

Nicholas Vonortas is a full-time Professor at George Washington University's Elliott School of International Affairs, serving as Associate Dean for Research Initiatives and Director of the Institute for International Science and Technology Policy. He holds a São Paulo Excellence Chair at the University of Campinas, Brazil. His research focuses on industrial organization, technological change economics, and science/technology policy, with over 13,500 citations and an h-index of 51. Education includes a Ph.D. in Economics from New York University, MA in Economic Development from Leicester University, and BA in Economics from National and Kapodistrian University of Athens. He teaches courses like Economics of Technological Change and International Science Policy Analysis. Research interests emphasize innovation ecosystems, barriers to innovation, and policy design. Recent articles explore entrepreneurial ecosystems configurations, Brazil's innovation challenges, and public sector entrepreneurship. He has advised governments globally and international organizations like the World Bank. Notable publications include a 2024 book on intangible assets and co-editing Science and Public Policy journal since 2010. Consulting experience spans EU member states, Brazil, Mexico, Korea, and Japan. Visiting appointments include Tsinghua University, Korea University, and multiple European institutions.

Matthew CollinsonView profile

Senior Lecturer

• Logic
• Theoretical Computer Science
• Information Security
• +12 more

Matthew Collinson is a Senior Lecturer in Computing Science at the University of Aberdeen, where he also serves as Head of Computing Science and Academic Line Manager. He holds an affiliation with the Scottish Informatics and Computer Science Alliance (SICSA) and leads the EPSRC-funded project SSPEDI (Supporting Security Policy with Effective Digital Intervention). Education: BSc Mathematics, University of Edinburgh (1997) MSc Mathematical Logic, University of Manchester (1998) PhD Computer Science, University of Manchester (2003) Research Interests: His research spans theoretical computer science and cybersecurity , focusing on non-classical logics (intuitionistic, modal, substructural), semantics of computation , concurrency theory , and type theory . He applies these foundations to information security , particularly in modelling security policies, access control, and the economics of cybersecurity decisions. His work integrates formal verification , simulation tools (e.g., Gnosis), and game-theoretic models . Publications Trends: Recent publications (2016–2022) emphasize human-centred security , exploring how persuasion and behavioural interventions can reduce cybersecurity vulnerabilities. Earlier works (2008–2015) concentrate on mathematical systems modelling , layered graph logics , and trust domains , bridging high-level policy and low-level system configurations. Projects & Grants: SSPEDI (2017–2020, EPSRC): Human dimensions of cybersecurity policy compliance. ALPUIS (EPSRC consortium): Algebra and logic for security policy and utility. Trust Domains (RCUK/TSB, 2011–2014): Framework for modelling secure information sharing. Seconomics (EU FP7, 2012–2015): Socio-economic impacts of cybersecurity regulation. PhD Supervision: He has successfully supervised PhD students including Kevin McDonald (2014), Barry Taylor (2015), and Robert (Bob) Duncan (2016), whose theses addressed logic-based security architectures, vulnerability analysis, and cloud stewardship respectively. Labs & Teams: His research is conducted within the Computing Science section of the School of Natural and Computing Sciences, leveraging collaborations with National Grid, HP Labs, and other academic partners.