Find Academic Supervisors

• Digital Innovation
• Socio-Technical Systems
• Information Systems
• +3 more

Dr. Ali Eshraghi is a Research Fellow in Project Leadership at the School of Project Management, University of Sydney. He holds a PhD from the University of Edinburgh (2017), where his research focused on IT innovations in voluntary organizations through a sociological lens. Previously, he conducted ARC-funded postdoctoral research at the University of Sydney's Business School, examining end-user experimentation with workplace technologies. His career also includes a research role at Sharif University of Technology, investigating informalities in innovation projects. His research interests center on the design, implementation, and societal impacts of digital technologies, emphasizing socio-technical interactions. He employs qualitative methods and multidisciplinary approaches to explore how social actors and technological objects co-create innovative ideas. Key themes include AI in project management, knowledge management partnerships with AI, and digital divides in organizational contexts. Ali’s publications span journals like Scandinavian Journal of Management and Business Horizons , addressing topics such as temporary organizations, AI-driven knowledge systems, and digital natives vs. immigrants. His work bridges management, information systems, and sociology, with a focus on practical implications for organizations. He teaches at the intersection of business, management, and digital innovation, contributing to both academic and applied knowledge. His postdoctoral research and grants highlight his commitment to advancing understanding of technology adoption and organizational dynamics.

Mecit CetinView profile

Professor

• Intelligent Transportation Systems
• Traffic Flow Theory
• Connected and Automated Vehicles
• +4 more

Dr. Mecit Cetin is a Professor at Old Dominion University (ODU) and Director of the Transportation Research Institute (TRI). He specializes in Intelligent Transportation Systems (ITS), connected/automated vehicles, traffic flow theory, and infrastructure resilience. His academic background includes a Ph.D. in Transportation Engineering from Rensselaer Polytechnic Institute (2002), an M.S. in Civil Engineering (1999), and a B.S. from Boğaziçi University (1995). Research focuses on big data analytics for traffic prediction, congestion pricing, and floodwater detection using LIDAR and computer vision. He has secured over $3M in grants including Federal funding for SMARTc systems and state projects on truck turnaround reduction. Notable awards include the 2011 Best Paper Award at the World Congress on Intelligent Transport Systems and multiple Shining Star Awards from ODU. Key projects include developing auction-based tolling systems for connected vehicles, enhancing traffic signal control with probe data, and modeling secondary incident impacts. His work bridges transportation engineering with emerging technologies like IoT and AI. Dr. Cetin collaborates with state agencies (VDOT) and institutions like EVMS. His lab develops tools for urban flood monitoring, eco-routing algorithms, and safety service patrol optimization using discrete-event simulation.

Rajmohan RajaramanView profile

Professor

• Algorithms
• Theoretical Computer Science
• Networks
• +4 more

Rajmohan Rajaraman is a Professor and Associate Dean of Faculty Affairs at the College of Computer and Information Science (CCIS) at Northeastern University. His research focuses on algorithms, theoretical computer science, and distributed systems, with a particular emphasis on network optimization, scheduling, and peer-to-peer systems. He has held leadership roles in academic administration and has contributed to significant advancements in algorithmic theory and applied computing. His research interests span a wide range of topics including online algorithms, graph theory, resource allocation, and dynamic network analysis. Recent work explores foundational AI infrastructure, communication complexity in graph problems, and stability in peer-to-peer networks. Rajaraman has advised numerous PhD students, including current candidates Andisheh Ghasemi, Amanuel Tesfaye, and Omer Wasim. Rajaraman has been recognized with awards such as the Google Faculty Research Award (2015). His publications reflect a deep engagement with theoretical challenges and practical applications, often bridging the gap between algorithm design and real-world distributed systems. As an Associate Dean, Rajaraman oversees faculty affairs and academic policies, contributing to Northeastern’s strategic initiatives in computing education and research. His work intersects academia and policy, emphasizing the importance of federal research funding and institutional collaboration.

• Combinatorics
• Graph Theory
• Algebraic Combinatorics
• +4 more

Lluis Vena Cros is a distinguished researcher in the Department of Mathematics at Universitat Politècnica de Catalunya - BarcelonaTech (UPC-BarcelonaTech), affiliated with the Faculty of Mathematics and Statistics. He is a core member of the GAPCOMB research group, which specializes in Geometric, Algebraic and Probabilistic Combinatorics. His research spans multiple domains within combinatorics, with particular emphasis on graph theory, algebraic combinatorics, geometric combinatorics, and probabilistic combinatorics. Vena Cros has made significant theoretical contributions to the understanding of graph homomorphisms, Tutte polynomials, Ramsey theory, and extremal combinatorial structures. His work often explores the deep connections between combinatorial objects and other mathematical disciplines such as topology, algebra, and discrete geometry. An analysis of his recent publications reveals a consistent focus on combinatorial structures with applications across multiple mathematical domains. His work on Tutte polynomials for various graph structures demonstrates a unifying approach to graph invariants, while his research in Ramsey theory explores structural properties of large combinatorial objects. The recurring theme across his publications is the investigation of extremal properties and computational aspects of combinatorial configurations. Vena Cros actively participates in multiple research projects including 'Structure, Randomness and Computational Methods in Extremal Combinatorics,' 'COntemporary COmbinatorics and Applications (COCOA),' and the 'Grup GAPCOMB de la UPC.' These projects involve collaborations with numerous researchers across Spain and internationally, reflecting his significant standing in the combinatorial mathematics community. His work has been supported by various funding bodies including the Spanish State Research Agency and the European Union's Horizon 2020 program. As a member of the GAPCOMB research group, Vena Cros contributes to a vibrant mathematical community focused on advancing combinatorial theory and its applications. The group maintains strong connections with other research centers and regularly participates in international conferences and collaborative projects, fostering the exchange of ideas across the global combinatorial mathematics community.

• Cybersecurity
• Network Security
• Automotive Cybersecurity
• +5 more

Mirco Marchetti is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering 'Enzo Ferrari'. He specializes in cybersecurity, network security, and automotive systems. His teaching responsibilities include courses on cybersecurity fundamentals, computer networks, operating systems, and automotive cyber defense. Research interests focus on intrusion detection systems (IDS), vehicular networks (VANETs), machine learning applications in cybersecurity, and automotive cybersecurity. He has contributed to projects like HackCar (automotive attack/defense testbed) and RealCAN (real-time CAN bus analysis tools). His work also explores adversarial attacks on ML-based systems and secure communication protocols for industrial and vehicular systems. Recent publications emphasize automotive cybersecurity (e.g., Mercedes-Benz infotainment system analysis, CAN bus anomaly detection), ML robustness against adversarial attacks, and zero-trust architectures. He collaborates with the SECloud research group (secloud.ing.unimore.it) and uses experimental platforms like Software-Defined Radios for security evaluations. Teaching responsibilities span multiple academic programs including Master's degrees in Computer Engineering and Artificial Intelligence Engineering. Courses emphasize practical skills in Linux/Unix administration, network configuration, and embedded system security.

• Cyber Security
• Internet of Things
• Blockchain
• +4 more

Dr. Baraq Ghaleb is an Associate Professor within the Centre for Distributed Computing, Networks and Security at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He actively delivers and leads modules for both Undergraduate and Postgraduate programs in the Cyber Security and Systems Engineering subject group. Dr. Ghaleb earned his PhD from Edinburgh Napier University in June 2019, following completion of his MSc and BSc degrees. His academic journey has positioned him as an expert in cybersecurity and IoT technologies. His research focuses on investigating security vulnerabilities of Internet of Things standards and utilizing cutting-edge advancements to address these vulnerabilities. With expertise spanning Cyber Security, Internet of Things, Blockchain, and Machine Learning, Dr. Ghaleb bridges theoretical research with practical applications, particularly in securing IoT ecosystems. His recent work shows a clear progression from foundational networking research to contemporary security challenges involving blockchain, cryptography, and AI-enhanced security solutions. Dr. Ghaleb has secured significant research funding as Principal Investigator and Co-Investigator across multiple projects with a total budget of approximately £435,000. His externally funded projects include SafeNet (Carnegie Trust), Trusted Threat Sharing (Innovate UK), TruElect (Innovate UK), and LastingAsset (Innovate UK). He currently supervises numerous PhD students working on diverse security challenges: Blockchain-based Privacy-preserving Cybersecurity Intelligence Sharing (Elfatih Ahmed) Enhancing Security and Privacy of Blockchain-based Healthcare Systems (Faneela) Design of complex encryption schemes for IoT security (Shahbaz Khan) Intelligent and Privacy-Preserving Security Solutions for IoT Networks (Iain Baird) Dr. Ghaleb is affiliated with the Centre for Distributed Computing, Networking and Security and the Centre for Cybersecurity, IoT and Cyberphysical Systems, where he contributes to cutting-edge research in secure network architectures, cryptographic techniques, and privacy-preserving frameworks across multiple domains including automotive supply chains, healthcare systems, and environmental monitoring.

• Digital Signal Processing
• Parallel Computing Architectures
• Nonlinear Dynamics
• +3 more

Prof. Victor Grigoras is a faculty member at the Technical University of Iași, holding the rank of Professor. He specializes in electrical engineering and computer science, focusing on signal processing, parallel architectures, and nonlinear dynamics in power systems. His research interests include smart grid technologies, renewable energy integration, and data-driven methodologies for grid optimization. He teaches courses such as 'Semnale, Circuite și Sisteme' and 'Algoritmi și Structuri Paralele de Calcul.' His research spans over 15 recent articles (2021–2025), emphasizing advancements in smart grid automation, machine learning applications in voltage quality analysis, and optimal power flow solutions for renewable integration. Notable trends include SCADA system improvements, energy storage strategies for prosumer grids, and IoT-based energy management. His work addresses challenges in grid reliability, power quality, and future urban grid resilience under high EV adoption scenarios. Prof. Grigoras has contributed to frameworks for electric vehicle charging station placement, hydropower plant optimization via data mining, and demand response mechanisms using smart metering. His methodologies often combine clustering techniques with fuzzy logic or metaheuristic algorithms to solve complex grid problems.

Jimmy McGibneyView profile

Lecturer

• Network Security
• Artificial Intelligence
• Cybersecurity
• +5 more

Jimmy McGibney is a Lecturer in the Department of Computing and Mathematics at Waterford Institute of Technology (WIT), now part of South Eastern Technological University (SETU). He holds a Master of Engineering from Dublin City University (1995) and a Bachelor of Engineering (Electronic) from University College Dublin (1992). His research focuses on network security, AI-driven cybersecurity solutions, trustworthiness in service compositions, and resource-constrained environments. External roles include serving as a Researcher at the Telecommunications Software and Systems Group (2000), a Research Assistant at Dublin City University (1996–1997), and a Systems Engineer at Aldiscon (1994–1996). His work emphasizes applied research in intrusion detection systems, network forensics, and trust management frameworks. Key research interests include AI applications in cybersecurity, trust metrics for service compositions, and securing edge computing environments. He has organized workshops on digital forensics and incident response, and his recent work explores AI methodologies for resource-limited systems. McGibney’s publications span over 38 works, including peer-reviewed chapters and conference contributions. Notable areas include network forensic readiness frameworks, deep learning-based intrusion detection, and trust overlays for spam protection. He has contributed to projects funded by industry and academic collaborations, focusing on practical cybersecurity solutions.

• Innovation and Entrepreneurship
• Digital Innovation
• Technology-Driven Innovation
• +4 more

Tim G. Schweisfurth is a Full Professor in Organizational Design and Collaboration Engineering at the School of Management Sciences and Technology, Hamburg University of Technology (TUHH), a position he has held since January 2023. Previously, he served as Associate Professor in High-Tech Business at the University of Twente (2021-2022) and Associate Professor of Technology and Innovation Management at the University of Southern Denmark (2018-2020). His academic credentials include: PhD from Hamburg University of Technology (TUHH) venia legendi (Habilitation) from Technical University of Munich (TUM) Professor Schweisfurth's research centers on three interconnected domains: (1) digital and technology-driven innovation, examining how emerging technologies reshape business models; (2) venture idea generation and evaluation, investigating cognitive and social mechanisms behind opportunity identification; and (3) distributed and collaborative innovation, studying cross-boundary knowledge flows. His work bridges theoretical rigor with practical application through partnerships with Siemens, Osram, Audi, and Panasonic, focusing on real-world innovation challenges in corporate settings. Analysis of his recent publications reveals a pronounced shift toward micro-foundational studies of innovation processes, with growing emphasis on digital tools (e.g., internal crowdfunding platforms), cognitive dynamics in idea evaluation, and sustainability implications. His 2023-2025 work increasingly integrates AI ethics, organizational hierarchy effects, and configurational approaches to innovation performance, while maintaining strong connections to user innovation theory. He currently serves as Editor-in-Chief of Creativity and Innovation Management and Advisory Editor for Research Policy , shaping discourse in top innovation journals. Industry collaborations span technology implementation studies with EWE and Mammut, plus Panasonic-funded research on distributed innovation ecosystems. Leading the Organizational Design and Collaboration Engineering research group at TUHH, he develops frameworks for engineering collaboration structures that enhance innovation capacity, utilizing mixed-method approaches including natural experiments and large-scale field studies in manufacturing and technology sectors.

• Organizational Behavior
• Team Dynamics
• Entrepreneurship
• +4 more

Bart de Jong is an Associate Professor at the Peter Faber Business School, part of the Faculty of Law and Business. His research focuses on trust dynamics in organizations, team leadership configurations, entrepreneurial teams, and meta-analytic methodologies. He has extensively studied team effectiveness, organizational trust, and the impact of cultural diversity on trust consensus within teams. De Jong’s work bridges theoretical and empirical gaps in understanding interpersonal trust, shared leadership, and hierarchy influences on team outcomes. His contributions include seminal reviews and meta-analyses that synthesize decades of trust research and propose future directions. He has also explored entrepreneurial passion diversity, faultlines in new venture teams, and peer control mechanisms in collaborative settings. Key thematic areas in his research include the interplay between trust and performance in teams, the moderating role of hierarchy structures, and the implications of cultural diversity on trust. His findings have been published in leading journals like the Journal of Applied Psychology , Journal of Organizational Behavior , and Academy of Management Annals . While no specific scientific awards are listed, his prolific publications and methodological rigor position him as a leading scholar in organizational behavior and team dynamics. His work often integrates meta-analytic approaches to validate theoretical frameworks and provide actionable insights for managers and policymakers.

• Polymer Science
• Recycling Engineering
• Sustainable Manufacturing
• +5 more

Alan J Murphy serves as a Senior Research Fellow at the PRISM (Polymer, Recycling, Industrial, Sustainability and Manufacturing engineering) Research Institute. His academic profile is characterized by interdisciplinary research at the intersection of materials science, engineering, and environmental sustainability, with a focus on polymer applications and recycling technologies. Research interests span: Polymer Science and Engineering (including polylactide and natural fiber composites) Sustainable Manufacturing and Recycling Technologies Additive Manufacturing (3D Printing) and its limitations in medical applications Biomedical Materials for drug delivery systems Artificial Intelligence applications in microplastics detection and classification Sterilization processes for medical polymers His recent publications (2019-2025) demonstrate a clear trajectory toward solving environmental and biomedical challenges through innovative materials engineering. Notably, he has pioneered AI-driven methods for microplastics identification and developed novel polymer-based drug carriers, while also addressing critical gaps in the stability of 3D-printed medical devices under sterilization. Scientific awards: None mentioned in available sources. Advising and grants: No information on student supervision or grant funding was provided in the source material. Laboratory context: Murphy is embedded within the PRISM Research Institute, a multidisciplinary hub advancing sustainable polymer technologies. The institute's collaborative network spans multiple countries, reflecting global engagement in tackling plastic waste and promoting circular economy principles.

Paul ThevenonView profile

Assistant Professor

• GNSS Signal Processing
• Navigation Systems
• Satellite Communication
• +3 more

Dr. Paul Thevenon is an Assistant Professor at ENAC (National Civil Aviation School) in Toulouse, France, since July 2013. He holds a Habilitation à Diriger les Recherches (2023) and focuses on GNSS signal processing, integrity monitoring, and hybrid sensor systems. His research integrates advanced algorithms for cycle slip detection, multipath mitigation, and hybrid navigation filters using 5G/ LTE signals. Education: Bachelor's in Electronic Engineering from École Centrale de Lille (2004) Master's in Space Telecommunications from ISAE (2007) PhD in Signal Processing from ENAC (2010) Research Themes: GNSS robustness against malicious signals (e.g., evil waveforms) Multi-receiver systems for RTK positioning enhancement Integration of non-GNSS signals (5G, LTE) for hybrid navigation Factor graph approaches for carrier phase processing Awards: 2023: Habilitation à Diriger les Recherches Technical Contributions: Developed CNN-based multipath detection systems Advanced RTK ambiguity resolution via multi-rover arrays Validated TDCP measurements in low-cost PPP-IMU filters Labs/Teams: Core member of the SIGNAV lab, specializing in signal processing and navigation systems.

Qazi Arbab AhmedView profile

Researcher

• Hardware Security
• Reconfigurable Computing
• Computer Architecture
• +3 more

Dr. Qazi Arbab Ahmed is an active researcher at the University of Paderborn within the Faculty of Computer Science, Electrical Engineering and Mathematics , specifically affiliated with the Department of Computer Science and Computer Engineering group. His institutional contact details include Office O3.137 at Pohlweg 51, 33098 Paderborn, Germany, with direct phone access (+49 5251 60-1742) and university email. His research specializes in hardware security with core focus areas: Hardware Trojans in reconfigurable systems FPGA security mechanisms Approximate circuit vulnerabilities Bitstream-level attack detection Analysis of his 2021-2024 publications reveals consistent advancement in Trojan activation methodologies and countermeasures within reconfigurable computing. His work bridges theoretical security models with practical FPGA implementations, frequently published in IEEE venues and hardware security journals. Recent output demonstrates active contribution to the field with a 2024 Journal of Hardware and Systems Security publication as latest verified work. Dr. Ahmed maintains direct institutional presence through his office location and professional contact channels, confirming ongoing research activities without indication of retirement or former staff status.

Ioannis John PapapolymerouView profile

Research Professor

• RF/Microwave Engineering
• Antenna Design
• Wireless Communication Systems
• +3 more

Ioannis John Papapolymerou serves as the interim dean of Michigan State University's College of Engineering, effective October 2024. He is also an MSU Research Foundation Professor in the Department of Electrical and Computer Engineering (ECE) and director of the MSU Space Electronics Initiative. With a career spanning over two decades, he previously chaired the ECE department for nine years, driving significant expansion and fostering diversity and inclusion. His leadership roles include participation in the Big Ten Academic Leadership Program and the Committee on Institutional Cooperation Department Executive Officer Program. Education: Ph.D. and M.S. in Electrical Engineering from the University of Michigan (1999 and 1994), and a B.S. in Electrical Engineering from the National Technical University of Athens (1993). Research Interests: Focus on RF/microwave/mm-wave/THz circuits, antennas, and packaging for wireless communication systems, sensors, and radars. He pioneered additive manufacturing techniques for RF components and has contributed to the development of flexible antennas and high-power modules. His work integrates nanomagnetic films, aerosol jet printing, and 3D-printed substrates to advance electronics. Awards: Notable recognitions include IEEE Fellow (2011), H.A. Wheeler Prize (2012), and NSF CAREER Award (2002). His research has been supported by federal agencies and industry, yielding over 450 publications, six patents, and co-founding two start-ups in RF electronics and flexible antennas. Labs & Initiatives: Leads the MSU Space Electronics Initiative, collaborating with the Facility for Rare Isotope Beams (FRIB). His lab focuses on innovations in high-frequency electronics, additive manufacturing, and vehicular communication systems.

Hannah Star RogersView profile

Visiting Professor

• Science and Technology Studies (STS)
• Art and Science Intersections
• Bioart
• +3 more

Dr. Hannah Star Rogers is a Visiting Professor at Columbia University, specializing in the intersection of Art and Science. She holds a Ph.D. in Science and Technology Studies from Cornell University and an MFA in Poetry from Columbia University. Her research explores bioart, alternative media, and the historical role of artists in scientific communication, particularly through her work on Berenice Abbott's scientific photography. She has taught at Columbia, Strathclyde University, and the University of Virginia. Education: Ph.D., Cornell University (STS); MFA, Columbia University (Poetry) Affiliations: Columbia University, Emerge: Artists and Scientists Redesign the Future (Director of Research) Research Interests: Rogers investigates how art and science co-construct knowledge systems, focusing on: Curatorial practices in scientific exhibitions Ethical dimensions of bioart and biotechnology Historical intersections between photography and science pedagogy Publications & Exhibitions: Her monograph Art, Science, and the Politics of Knowledge (MIT Press, 2022) examines knowledge production across disciplines. She co-curated the award-winning Making Science Visible exhibit on Berenice Abbott, blending art with scientific communication. Recent articles span Leonardo , Configurations , and SciArt Magazine , addressing topics from nuclear ethics to AI design fiction. Awards: Akademie Schloss Solitude Fellowship (Germany) National Park Service Writing Residencies British Society for the History of Science Exhibit Prize Grants & Leadership: Directed Emerge’s 2016 initiative and served as Guest Bioart Curator (2017). Her projects often involve collaborative science-art teams, emphasizing public engagement with complex scientific issues. Labs/Initiatives: Active in curating interdisciplinary art-science collaborations, including exhibitions on genetic futures and cyborg theory. Leads workshops merging creative writing with scientific inquiry.