جستجوی استاد راهنمای دانشگاهی

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.

• Political Institutions
• Executive-Legislative Relations
• Parliamentary Oversight
• +۵ مورد دیگر

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.

• Machine Learning
• Cybersecurity
• Autonomous Systems
• +۳ مورد دیگر

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.

• Biomedical Informatics
• Clinical Trials Innovation
• Electronic Data Capture Systems
• +۳ مورد دیگر

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.

• Cybersecurity
• Edge Computing
• Internet of Things (IoT)
• +۳ مورد دیگر

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.

• Robotics
• Human-Robot Collaboration
• Control Systems
• +۳ مورد دیگر

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.

• Semantic Web
• Linked Data
• Ontology Engineering
• +۷ مورد دیگر

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.

• Safety Engineering
• Systems Theory
• Industrial Engineering
• +۷ مورد دیگر

Michael Bevis is a Professor and Ohio Eminent Scholar in the Division of Geodetic Science at The Ohio State University, where he leads the Geodesy and Geodynamics (G2) group. A space geodesist since the late 1980s, he holds a Ph.D. from Cornell University (1982) and has established geodetic networks across the South Pacific, Andes, Greenland, and Antarctica to study Earth system dynamics. Ph.D. in Geophysics, Cornell University, 1982 Bevis specializes in crustal motion geodesy, GPS meteorology, and reference frame realization, with research spanning plate tectonics, earthquake deformation cycles, mountain building, postglacial rebound, and sea-level change. His work integrates GNSS, GRACE, and terrestrial gravity data to investigate ice mass dynamics, elastic loading phenomena, and water vapor climatology, emphasizing the coupling between geophysical processes and climate systems. His recent publications (2023-2025) reveal a dominant focus on Antarctic and Greenland ice mass loss through elastic deformation modeling, alongside innovations in GNSS network applications for climate hazard monitoring and gravitational field theory. Key trends include joint inversions of multi-sensor geodetic data, advanced algorithms for satellite image processing, and theoretical refinements to spherical harmonic expansions for global gravity modeling. Ohio Eminent Scholar Bevis has secured extensive research funding for global geodetic network deployments, including the Polar Earth Observing Network (POLENET) in Antarctica and the Greenland Network (GNET). His projects involve major international collaborations with NASA, NSF, and global geodetic initiatives, supporting infrastructure for real-time crustal motion monitoring and climate impact assessment. While specific student names aren't listed in source materials, his leadership of the G2 group implies significant graduate mentorship in geodetic science. The Geodesy and Geodynamics (G2) group operates under the Division of Geodetic Science, maintaining specialized laboratories for GPS data processing, gravity measurements, and satellite geodesy. Bevis directs field teams conducting terrestrial gravity surveys in mountain chains and coordinates Antarctic network operations through the ANET GNSS array, with recent expansions into equatorial satellite constellations for climate hazard tracking.

• Geodesy
• Geodynamics
• Geophysics
• +۱۰ مورد دیگر

Dr. Mohammad Hasan is a Senior Lecturer in Digital, Tech, Innovation & Business at Staffordshire University with extensive expertise in cybersecurity, cloud computing, and network engineering. His educational background includes a PhD in Mobile Ad-hoc Networks, MSc in Computer and Network Engineering, and BSc in Computer Science. His primary research focuses on: Computer networks including wireless systems and IoT Cybersecurity frameworks and threat analysis Cloud computing infrastructure and virtualization Machine learning applications in data analytics Recent publications demonstrate strong trends in machine learning applications for pattern recognition (eSports analytics), network security (XSS prevention), and biomedical signal processing (brain source localization). Dr. Hasan maintains professional certifications including CCSK, CompTIA Security+, and Cisco CyberOps Associate, and holds Senior Fellow status with the Higher Education Academy.

• Computer Networks
• Cyber Security
• Cloud Computing
• +۵ مورد دیگر

Dr. Jarryd Daymond is a Lecturer in Strategy, Innovation and Entrepreneurship at the University of Sydney Business School, where he serves as Academic Director (Strategic Initiatives) and Convenor of the Innovation and Commercialisation node at the Sydney Policy Lab. He is affiliated with multiple university institutes including the Sydney Environment Institute, the Centre for Drug Discovery Innovation, and the Sydney Nano Institute. His research focuses on the intersection of responsible innovation, emerging technologies (quantum, biomedical, digital, nanotherapeutics), and cross-disciplinary ecosystem development. His work addresses how scientific discoveries are commercialized, scaled, and translated into public value through strategic frameworks, with publications in Strategic Management Journal , Organization Studies , and Nature Nanotechnology . Education: BCom (Hons), LLB (Hons), MBus, PhD Research Impact: Secured over $2 million in funding for projects on oral insulin commercialization, nanosensors, and cognitive-communication platforms Key Collaborations: Leads multidisciplinary teams with scientists, engineers, and biomedical researchers Dr. Daymond teaches entrepreneurship and scientific commercialization, integrating practical consulting experience into curriculum design. He has received numerous awards including multiple best paper finalists at the Academy of Management and Strategic Management Society conferences.

• Responsible Innovation
• Quantum Technology Ecosystems
• Nanotechnology Commercialization
• +۳ مورد دیگر

Rashida Crutchfield is a Professor in the School of Social Work and Executive Director of the Center for Equitable Higher Education at California State University, Long Beach (CSULB). Her expertise includes addressing student homelessness, basic needs security, and community-based social work practices. She led the California State University Office of the Chancellor’s foundational study on food and housing security, serving as co-principal investigator for subsequent phases. Crutchfield holds an Ed.D. in Educational Leadership (CSULB) and an M.A. from the Brown School of Social Work at Washington University in St. Louis. Her research focuses on systemic barriers faced by students experiencing housing and food insecurity, foster care alumni transitions, and integrating social justice into social work education. Key contributions include developing trauma-informed approaches to homelessness in higher education and advocating for equitable campus policies. She has pioneered campus-based rapid rehousing models and food pantry programs while emphasizing student agency and institutional accountability. Crutchfield’s work bridges academic research and practical intervention through interdisciplinary collaboration. Her studies highlight the intersection of policy, practice, and student voice in creating sustainable solutions for vulnerable populations. While no specific awards are listed, her leadership roles and influential studies reflect significant professional recognition in higher education equity and social work practice. Her advising and grant activities include directing the CSU Basic Needs Initiative and leading multi-institutional research projects. She collaborates with campus and community partners to operationalize equitable practices, particularly through the Center for Equitable Higher Education. Current projects focus on scaling evidence-based interventions and refining policy frameworks to address systemic inequities in higher education access and support systems.

• Housing and Food Security in Higher Education
• Youth Homelessness
• Community Practice
• +۳ مورد دیگر

Zongtao Duan is an active researcher with a focus on intelligent transportation systems, cybersecurity, and machine learning applications. His work spans areas including traffic flow prediction, silent data corruption detection, vehicular networks security, and deep learning architectures for autonomous systems. He collaborates frequently with colleagues like Lei Tang and Junchi Ma, publishing in top-tier journals such as IEEE Transactions on Intelligent Transportation Systems and Future Generation Computer Systems. His research emphasizes practical solutions for urban mobility challenges, including ridesharing optimization and railway congestion control, while also addressing foundational issues in hardware reliability and error propagation modeling. Recent contributions include advancements in multimodal retrieval systems and knowledge graph applications in scientific data management. Zongtao has contributed to over 40 peer-reviewed publications since 2004, with notable work in 2025 exploring SDC evaluation frameworks and scenario-based testing for autonomous vehicle safety. His interdisciplinary approach bridges computer science, transportation engineering, and cybersecurity to address real-world technical challenges.

• Intelligent Transportation Systems
• Machine Learning
• Computer Networks
• +۳ مورد دیگر

Manuel Felipe Muciéntes Molina is a Professor of Computer Science and Artificial Intelligence at the Research Center on Intelligent Technologies (CiTIUS), University of Santiago de Compostela (USC). He holds a PhD from USC (2002) focusing on fuzzy logic-based control systems for autonomous robots. His research emphasizes machine learning applications in computer vision, process mining, robotics, and healthcare. He teaches courses like Statistical Learning, Supervised Machine Learning, and Deep Learning. Key Projects: RAI4P: Responsible AI for Process Mining 2.0 QC4SUSTEX: Authentication and security of sustainable textiles CAREBOT: Intelligent robotic units for hospital care Research Interests: Machine learning, computer vision (object detection, tracking), process mining, robotics navigation, and healthcare AI applications. Labs/Teams: Leading the Grupo GSI (Systems Intelligence) within CiTIUS, focusing on intelligent systems and AI-driven solutions.

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +۴ مورد دیگر

Carlos Guedes Soares is a Professor at the University of Lisbon affiliated with the NOEL (Navigation and Ocean Engineering Laboratory). His research focuses on ocean engineering, maritime safety, and navigation systems. Position: Professor Affiliation: NOEL Lab, University of Lisbon His work spans marine technology, offshore structures, and maritime safety systems. ResearchGate profile indicates potential limitations in current data availability due to security checks.

• Ocean Engineering
• Marine Technology
• Navigation Systems
• +۲ مورد دیگر

Tarek Elderini is an Instructor at the School of Electrical Engineering and Computer Science, University of North Dakota (UND), where he has held this position since August 2019. He earned his Ph.D. in Electrical Engineering (2021) and M.Sc. in Control Engineering (2013) from UND and the Arab Academy for Science, respectively. His research focuses on Robotics, Autonomous UAVs, Control Systems, Computer Vision, and Machine Learning, with notable contributions to indoor navigation systems and UAV localization. Education: Ph.D. in Electrical Engineering (2021), University of North Dakota M.Sc. in Electrical & Control Engineering (2013), Arab Academy for Science, Technology & Maritime Transport (AASTMT) B.Sc. in Electrical and Control Engineering (2009), AASTMT Research Interests: Elderini’s work spans autonomous systems, including wheeled robots, UAVs, and underwater ROVs. He develops Bayesian models for space occupancy mapping, path planning, and sensor-based navigation. His recent projects include a robotic system for long-term care facility cleaning, leveraging fluorescence imaging for pathogen detection. Awards: Dean’s Outstanding Faculty Award (2022) Professor of the Year (2022) 1st place in IEEE Red River Valley Graduate Competition (2018) Teaching & Grants: He teaches courses like Control Systems and Embedded Systems. As Co-PI, he secured a $40K grant for a robotic cleaning system under the CARES Act. His prior roles include Graduate Teaching/Research Assistantships at UND (2015–2019).

• Robotics
• Autonomous UAVs
• Control Systems
• +۴ مورد دیگر