Find Academic Supervisors

Peter ProcházkaView profile

Assistant Professor

• Internet of Things (IoT)
• UX Design
• Multimedia Applications
• +3 more

Peter Procházka is an Assistant Professor at the University of Economics in Bratislava, affiliated with the Faculty of Economic Informatics and the Department of Applied Informatics . His teaching and research focus on IoT , UX Design , Multimedia Applications , and technical education. His research spans several subfields, including: IoT : Development of educational tools using Arduino, smart device integration, and open-source platforms. Generative AI : Prompt engineering for neural networks and machine learning applications. Web Analysis : SEO tools, linguistic summaries for data visualization, and compliance with public administration standards. His publications highlight a trend toward data-driven decision-making in technology, including big data, machine learning, and IoT frameworks. He has also contributed pedagogical works on computer hardware, multimedia, and IoT, alongside collaborative studies on digital citizenship and pandemic response in educational institutions.

• Wireless Networks/Communications
• IoT
• Cyber Security
• +13 more

Professor Qiang Ni is an esteemed academic at Lancaster University , affiliated with the School of Computing and Communications , Data Science Institute , and Security Lancaster Center . Currently serving as Head of Communication Systems Research Group , School Director of International Partnership , and Theme Lead in Security and Defence at the Lancaster Intelligent, Robotic and Autonomous Systems (LIRA) Research Centre , he has previously held roles as School Director of Postgraduate Studies and Deputy Director of Research . Research focus areas include Wireless Networks/Communications , IoT , Cyber Security , AI , Digital Twins , and Quantum Communication Key projects involve INTACT (secure IoT-to-Cloud), CoGNETs (swarm intelligence), SustainAIRA6G (AI-driven resource allocation), and TRACE-V2X (multi-RAT traffic steering) Recent publications address 6G communication design , quantum neural networks , blockchain-based border control systems , and intelligent vehicular networks As an IEEE Senior Member and IEEE Communications Society Distinguished Lecturer , he chairs editorial boards for IEEE Transactions on Green Communications and JSAC Machine Learning Series . His supervision spans Wireless Communication , Big Data Analytics , and Quantum Machine Learning PhD research topics. Active in H2020 , Horizon Europe , and UKRI funded projects, he also contributes to IEEE standard committees.

• Racial Health Disparities
• Health Equity
• Health Promotion
• +7 more

Jaleah Rutledge is a T32 Postdoctoral Fellow at the Yale School of Public Health ’s Center for Interdisciplinary Research on AIDS. She holds a PhD in Ecological-Community Psychology from Michigan State University and dual undergraduate degrees in Psychology and Communications from Tuskegee University. Current academic appointment: Postdoctoral Fellow, Social and Behavioral Sciences Key service role: Co-Chair, Yale Black Postdoctoral Association Research Interests: Focus on racial health disparities, health equity, and community-based interventions for marginalized populations – particularly Black women and girls. Strengths include qualitative methods, HIV/STI prevention, maternal health equity, and intersectional approaches to sexual/reproductive health. Publication Trends: Recent work analyzes HIV testing disparities in Black adolescents, social media’s impact on sexual health, and structural drivers of maternal care access in Haiti. Collaborations frequently involve interdisciplinary teams across Yale’s Social and Behavioral Sciences and Epidemiology departments. Scientific Recognition: Dissertation of the Year Award (Society for Community Research and Action, APA Division 27) Graduate Student Leader of the Year Bob and Bets Caldwell Land-Grant Values Award Grants & Partnerships: Secured funding from Yale’s Office of the Provost for research collaborations with Tuskegee University. Active in designing community-engaged HIV prevention frameworks and digital health equity projects. Labs & Teams: Works with Yale’s Center for Interdisciplinary Research on AIDS (CIRA) and collaborates with the Prevention Research Center (PRC) team. Engages in multi-institutional research networks focused on health equity and Black women’s health.

Rafet KurtView profile

Senior Lecturer

• Human Factors in Maritime
• Ship Recycling
• Maritime Safety and Risk
• +3 more

Rafet Kurt is a Senior Lecturer at the School of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde. His work focuses on human factors in maritime domains, ship recycling, and circular economy applications. He contributes to UN Sustainable Development Goals (SDGs) including Responsible Consumption and Production (SDG 12) and Sustainable Cities and Communities (SDG 11). Principal Investigator for UK-funded maritime decarbonization projects in Indonesia Co-investigator in EU-funded ship recycling initiatives (FP7 DIVEST, LLP Ship DIGEST) His expertise includes developing noise/vibration response models, safety protocols for autonomous ships, and risk assessment frameworks for LNG bunkering. He has authored 121 research outputs and supervised 15 PhD projects. Fellow of the Higher Education Academy (2018) Finalist for VR Awards (2021) As an active organizer of international conferences (e.g., International Conference on Transportation Information and Safety), he promotes cross-domain collaboration and maritime safety innovation.

Breck RobinsonView profile

Associate Professor

• Financial institutions
• Housing finance
• Financial regulation
• +3 more

Breck Robinson serves as Associate Professor at the University of Delaware's Joseph R. Biden, Jr. School of Public Policy and Administration, where his research examines financial institutions' role in economic development with emphasis on low-income and minority communities. His expertise bridges academic scholarship and practical regulatory experience gained through affiliations with federal banking institutions. His educational foundation includes: Ph.D. in Finance, University of Tennessee (1994) MBA in Finance, University of Tennessee (1994) M.A. in Economics, University of Delaware (1988) B.A. in Economics and Political Science, University of Maryland Baltimore County (1986) Professor Robinson's research portfolio centers on financial institutions, housing finance, and regulatory frameworks, with particular focus on mortgage lending disparities, community development finance, and crisis-era interventions. His empirical work analyzes non-owner-occupied mortgages, CRA effectiveness, and government stabilization programs like HAMP and the Small Business Lending Fund, revealing critical insights about market segmentation and regulatory impacts on underserved populations. His publication pattern demonstrates consistent engagement with high-impact policy questions, evolving from foundational CRA studies in the early 2000s toward crisis-response analyses during the housing market collapse. The research corpus shows deep methodological rigor in using financial market data (like ABX indices) to evaluate policy efficacy while maintaining focus on community-level economic outcomes. Through affiliations as Visiting Scholar at the Office of the Comptroller of the Currency (1997-1998) and Federal Reserve Bank of Richmond (2008-2014), Robinson has directly contributed to regulatory practice while informing his academic work. His scholarship provides essential evidence for policymakers navigating tensions between financial stability, market efficiency, and equitable access to capital. Professor Robinson mentors graduate students in public policy and finance, guiding research at the intersection of banking regulation and community development. His ongoing work continues to address urgent questions about financial inclusion and regulatory design in post-crisis markets.

Anu BourgeoisView profile

Associate Professor

• Health Informatics
• Security and Privacy
• Wireless Networks
• +2 more

Anu Bourgeois is an Associate Professor in the Department of Computer Science at Georgia State University. She holds a Ph.D. in Electrical and Computer Engineering from Louisiana State University. Her research spans health informatics, security and privacy, wireless and sensor networks, and computer science education. Dr. Bourgeois has served as general co-chair for the IEEE International Parallel and Distributed Processing Symposium (2020, 2023) and program co-chair for the IEEE International Conference on Internet of Things (2019). Her technical contributions include developing energy-efficient MAC protocols for sensor networks, privacy protection frameworks for context-aware services, and mobile health interventions for opioid use disorder. In computer science education, she explores bridge programs for underrepresented groups, TA training methods, and visualization of career pathways. Current projects include cosmic ray detection systems, natural language-controlled UAVs, and animation workflow innovations.

Kanad GhoseView profile

Professor

• Computer Architecture
• Power-Aware Systems
• High-Performance Computing
• +6 more

Kanad Ghose is a Distinguished Professor and Director of the Center for Energy-Smart Electronic Systems (ES2) at SUNY Binghamton's School of Computing. His research focuses on computer architecture, power-aware systems, high-performance computing, and cybersecurity. He leads projects in data center energy management, secure processor design, and flexible electronics for wearable health monitoring. Education: BTech/M.Tech from University of Calcutta; MS/PhD from Iowa State University Awards: SUNY Chancellor's Award, IBM Faculty Award, National Science Talent Search Research interests include energy-efficient microarchitectures, cybersecurity at the hardware level, and autonomous systems. Notable projects involve data center cooling optimization, secure execution validation, and wearable ECG sensors. His lab collaborates with industry partners like Intel, Lockheed Martin, and UC Berkeley's Arias group. Current projects include DC-powered data centers, FPGA accelerators, and flexible electronics for clinical-grade health monitoring. Past work includes the MARSSx86 simulator and ARINC-compliant avionics systems.

Mark L PsiakiView profile

Professor

• GPS/GNSS Signal Processing
• Navigation Systems
• Kalman Filtering
• +7 more

Mark L. Psiaki is the Kevin Crofton Faculty Chair in Aerospace and Ocean Engineering at Virginia Tech. His research focuses on dynamics, control, and estimation with applications in GPS/GNSS navigation, spacecraft systems, and remote sensing. He holds a Ph.D. from Princeton University (1987) and has been recognized with prestigious awards, including AIAA Fellow and ION Fellow. Education: Ph.D. (Mechanical and Aerospace Engineering), Princeton University, 1987 M.A. (Mechanical and Aerospace Engineering), Princeton University, 1982 B.A. (Physics), Princeton University, 1979 Research Interests: GPS/GNSS signal processing, Kalman filtering, spacecraft attitude/orbit determination, anti-spoofing techniques, and ionospheric remote sensing. His work combines algorithmic innovation with experimental validation, including hardware development for space weather monitoring and spoofing detection systems. Articles Overview: Recent publications emphasize LEO-based navigation, spoofing detection, and Earth orientation studies. His work bridges theoretical estimation methods with real-world applications, such as autonomous lunar positioning and HF signal navigation. Awards: Includes the AIAA Mechanics of Control and Flight Award (2022), ION Johannes Kepler Award (2021), and multiple best-paper awards at AIAA conferences. Advising & Grants: Advised over 20 graduate students, many now leading in academia and industry. Active in federally funded projects, including NASA and DoD initiatives on navigation security and space systems. Labs/Teams: Leads the Psiaki Group at Virginia Tech, focusing on GNSS receiver design, space systems, and cybersecurity. Collaborates with institutions like Cornell University and NASA on projects like the GROUP-C ISS experiment.

Hallbera Frida WestView profile

Research Fellow

• Political Institutions
• Executive-Legislative Relations
• Parliamentary Oversight
• +5 more

Hallbera Frida West is a Research Fellow at the University of Agder (UiA), affiliated with the Department of Political Science and Management. Her primary research focuses on political institutions, particularly parliamentary oversight mechanisms, executive-legislative dynamics, and sub-state governance systems. She currently leads the CENTENOL project examining EU influence on Norwegian institutions despite non-membership, and contributes to the KODEM public administration panel data project. Previously, her work explored Faroe Islands self-government models and Arctic political developments. Her research employs mixed-method approaches, analyzing how institutional designs shape oversight behaviors and how sub-state units navigate multilevel governance challenges. Key projects include a Carlsberg Foundation study on parliamentary control beyond partisan politics, which identified mechanisms for depoliticized oversight through institutional design and party cooperation. Her PhD dissertation, "MP Firefighting: When do MPs hold government accountable?", demonstrated partisan logics dominating oversight activity in reactive scenarios, contrasting with institutionalized processes promoting cross-party unity. Awards and grants include the Carlsberg Foundation-funded project (2024) and ongoing UiA postdoctoral support. Her work frequently appears in journals like Regional & Federal Studies and Arctic Yearbook, with chapters in edited volumes on northern European governance. Collaborations include the University of Bergen’s CENTENOL initiative and Arctic-focused interdisciplinary networks. Labs/Teams: Active within UiA’s political science research group and the CENTENOL consortium. Future work aims to expand analysis of EU regulatory spillover effects on Nordic non-members and Arctic geopolitical shifts impacting sub-state autonomy.

Alvaro Lopez PellicerView profile

Academic

• Machine Learning
• Cybersecurity
• Autonomous Systems
• +3 more

Alvaro Lopez Pellicer is a PhD student and Associate Lecturer at Lancaster University, affiliated with the departments of Politics, Philosophy and Religion, and Computing and Communications. His research focuses on cybersecurity, machine learning robustness, and autonomous systems, with a particular emphasis on adversarial threats and defense mechanisms. He contributes to research groups including the Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA), Security Lancaster (Secure Machine Learning and Intelligence), and LIRA’s Security and Defence sub-group. His work spans topics such as federated learning for autonomous systems, deepfake detection, and multi-modal prototype-based models. He has published in conferences and journals on attack detection, noise reduction, and biometric identification using deep learning techniques. Lopez Pellicer is actively involved in collaborative projects, such as the UNICAD framework for unified threat detection and the PUDD approach for robust deepfake identification. His research bridges theoretical advancements in machine learning with practical applications in autonomous systems and cybersecurity.

Paul HarrisView profile

Professor

• Biomedical Informatics
• Clinical Trials Innovation
• Electronic Data Capture Systems
• +3 more

Paul Harris is a Professor of Biomedical Engineering and Biomedical Informatics at Vanderbilt University's School of Engineering. He leads research in clinical trial innovation, electronic data capture systems, and participant-centered research strategies. His work focuses on operational efficiencies in multi-site studies, recruitment/retention methodologies, and leveraging AI in healthcare research. Education: Ph.D. and M.S. in Biomedical Engineering from Vanderbilt University, B.S. in Mechanical Engineering from Tennessee Technological University. Research emphasizes REDCap platform development, All of Us Research Program infrastructure, and Genomic data integration. Key contributions include AI-driven abstract summarization, standardized clinical trial site selection tools, and culturally tailored recruitment strategies for underrepresented groups. His articles highlight advancements in data interoperability (FHIR integration), wearable health data analysis, and ethical genomic research practices. He collaborates with national initiatives like the Trial Innovation Network and NIH's All of Us Program to improve research accessibility and participant engagement.

Seyed Ahmad SoleymaniView profile

Research Fellow

• Cybersecurity
• Edge Computing
• Internet of Things (IoT)
• +3 more

Dr. Seyed Ahmad Soleymani is a Research Fellow at the University of Surrey's Institute for Communication Systems and part of the 5G/6G Innovation Centre. His research focuses on cybersecurity, edge computing, IoT, UAV systems, and 5G/6G networks. He has contributed to secure authentication protocols for medical and industrial IoT systems, UAV-assisted edge computing optimization, and multi-target tracking algorithms using Q-learning. His work emphasizes energy efficiency, data security, and real-time applications in smart manufacturing and vehicular networks. Research interests include secure communication in UAV networks, sustainable edge node deployment, and privacy-preserving authentication schemes. He has explored applications such as flood forecasting via UAV-assisted sensors and energy-efficient building systems. His publications span IEEE journals and conferences, addressing challenges in edge computing resource allocation, intrusion detection systems, and trust management in 5G-IIoT environments. Collaborations involve institutions like the University of Electronic Science and Technology of China and Universiti Teknologi Malaysia. Notable contributions include the MI3SE encryption scheme for outdoor IIoT devices and the TRUTH trust scheme for 5G industrial IoT. His work combines machine learning (e.g., SAC, Q-learning) with network optimization to address latency, security, and scalability in modern communication systems. He has also developed frameworks for cybertwin-based 6G networking and secured target tracking in O-RAN environments.

Elena TortaView profile

Assistant Professor

• Robotics
• Human-Robot Collaboration
• Control Systems
• +3 more

Elena Torta is an Assistant Professor in the Robotics section of the Mechanical Engineering department at Eindhoven University of Technology (TU/e). Her research focuses on control and world modeling for collaborative robots, particularly in human-robot and robot-robot collaboration. She holds a PhD cum laude from TU/e and has extensive industry experience as a software architect at ASML, where she advanced to leadership roles in algorithm deployment. Her expertise spans multidisciplinary robotics challenges, including human-robot interaction studies and computational models for robotics control. Education: BSc in Computer Science and Automation Engineering (Università Politecnica delle Marche, Italy) MSc in Automation Engineering (Università Politecnica delle Marche, Italy; thesis research at Technical University of Denmark) PhD cum laude in Automation Engineering (TU/e) Research Interests: Her work integrates robotics, control systems, and artificial intelligence to enhance collaborative robotics. Key areas include semantic-aware motion planning, digital twin technology, multi-agent coordination, and safety-critical robotic systems. Recent advancements involve leveraging building digital twins for robot navigation and semantic learning from human demonstrations. Projects: She leads projects such as EAISI High Tech Systems, AMBER, and KSERA, addressing challenges in healthcare robotics and manufacturing. Her research contributes to UN SDG 9 (Industry, Innovation & Infrastructure) and SDG 3 (Good Health & Well-being). Awards: PhD cum laude (2014) Advising & Grants: Supervised 36 students and secured funding through projects like EAISI startup package. Active in developing educational tools for robotics, including Challenge-Based Education frameworks. Labs & Teams: Engaged in TU/e's Robotics Lab and collaborations with EAISI, focusing on advancing robotics through interdisciplinary approaches.

• Semantic Web
• Linked Data
• Ontology Engineering
• +7 more

Dr. Stefan Schlobach is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Artificial Intelligence department, Network Institute, and Knowledge Representation and Reasoning group. His research focuses on Semantic Web, Linked Data, Ontology Engineering, and Hybrid Intelligence systems. He has published over 116 peer-reviewed works and supervised 6 PhD theses. Recent projects include robotic knowledge acquisition (ORKA ontology), explainable AI for security systems, and knowledge engineering for virtual heritage applications. He co-developed the LOTUS search framework for big linked data and contributed to the CoPla ontology for agriculture. His work bridges theoretical foundations (e.g., argumentation systems) with applied domains (e.g., cyber-physical systems, cultural heritage digitization). Research Interests: Semantic Web Technologies Knowledge Graphs & Ontology Engineering Hybrid Intelligence (Human-AI Collaboration) Robotic Perception Systems Explainable AI Entity Linking & Identity Resolution Key Contributions: Developed LOTUS adaptive search system (2016 prize-winning work) Created ORKA ontology for robotics knowledge acquisition Pioneered perceived-entity linking methodologies Advocated knowledge engineering principles for hybrid systems Teaching: Leads courses in Artificial Intelligence, Knowledge Representation, and Semantic Technologies at both undergraduate and graduate levels.

• Safety Engineering
• Systems Theory
• Industrial Engineering
• +7 more

Prof. Gravio Giulio is a Full Professor at the Sapienza University of Rome within the Department of Industrial and Management Engineering . His work focuses on systemic safety, cyber-physical systems, and resilience engineering. He specializes in risk assessment methodologies like STAMP/STPA and FRAM, with applications in aviation, industrial automation, and healthcare. Research interests include Functional Resonance Analysis (FRAM) Cyber-socio-technical systems Emergency management systems Human reliability analysis Safety-critical systems design His recent work explores STAMP-based simulations for eVTOL safety, knowledge graphs in industrial near-miss reporting, and cyber resilience in critical infrastructure. He has pioneered tools like myFRAM for functional resonance analysis. Key projects include: - Systemic risk management for Advanced Air Mobility - Resilience engineering in anesthesia practices - Safety analysis of medical gas pipelines - STPA-Sec for security-critical systems Prof. Giulio collaborates with ANSPs (Air Navigation Service Providers) and industry partners, focusing on bridging theoretical frameworks with practical safety implementations.