جستجوی استاد راهنمای دانشگاهی

Giancarlo Frosioمشاهده پروفایل

استاد

• Intellectual Property Law
• Technology Law
• Digitization
• +۹ مورد دیگر

Giancarlo Frosio is a Professor of Intellectual Property and Technology Law at Queen's University Belfast's School of Law, where he directs the Global Intellectual Property and Technology (G-IPTech) Centre. He also leads the LLM in Intellectual Property Law program and holds visiting professorships at institutions including the University of Turin, Strasbourg University, and the Higher School of Economics in Moscow. His research focuses on the intersection of law, technology, and creativity, emphasizing digitization, AI, intermediary liability, and platform regulation. Frosio is a Non-Residential Fellow at Stanford Law School’s Center for Internet and Society (CIS) and a Faculty Associate at Turin's NEXA Research Center. He has advised international bodies like the European Commission and World Intellectual Property Organization (WIPO). His work includes seminal publications such as Reconciling Copyright with Cumulative Creativity: The Third Paradigm (2018) and the Oxford Handbook of Online Intermediary Liability (2020). Education : S.J.D. (Doctoral Degree) and LL.M. in Intellectual Property Law from Duke Law School; LL.M. in IT and Telecoms Law from Strathclyde University. Research Interests : Intellectual Property law, AI regulation, digital governance, intermediary liability, platform accountability, creativity economics, and EU policy frameworks. Professional Roles : Director of G-IPTech Centre, Programme Lead for QUB's LLM in IP Law, former Associate Professor at CEIPI (Strasbourg University), and founder of the World Intermediary Liability Map (WILMap) at Stanford CIS. He regularly contributes to policy debates on digital services acts, copyright reform, and online platforms. Grants and Collaborations : Collaborations include projects with the European Commission, WIPO, and interdisciplinary initiatives on AI ethics and digital rights. Labs/Teams : Directs the G-IPTech Centre, a hub for interdisciplinary research on tech law and policy.

Vita Akstinaitėمشاهده پروفایل

استاد

• Leadership
• Executive Hubris
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Vita Akstinaitė is a Professor and Vice-Rector for Research and Faculty at ISM University of Management and Economics (Lithuania). She leads the Master's program 'Global Leadership and Strategy' and the Executive Master's module on rhetoric/communication. As a Visiting Researcher at IDIAP (Switzerland) and Visiting Fellow at the University of Lausanne, she bridges academic and applied research. Her work focuses on leadership dynamics, hubris, linguistic markers, and AI applications in leadership assessment. Education: MSc Organizational Psychology (King's College London) and PhD in Business (University of Surrey), with research on linguistic markers of hubris. She co-founded The Hubris Hub and Knowledge4Hubris initiatives, fostering interdisciplinary collaboration. Notable projects include EU-funded AI leadership research (2021) and NordForsk's remote work study (2023-2026, €99k+). Research emphasizes innovative methods like AI-driven text analysis to evaluate leadership behaviors. Key areas include: executive hubris measurement, AI's role in leadership skill assessment, and ethical leadership frameworks. Her work spans international collaborations with institutions like Umeå University (Sweden), Murdoch University (Australia), and the London School of Economics. Awards include ISM Research Communicator of the Year (2023), Murdoch Teaching Excellence (2021), and EU research grants. Her publications explore topics like linguistic predictors of hubris, AI in leadership diagnostics, and pandemic leadership failures. Recent articles address data-driven executive role transformations and ethical leadership in AI contexts. Grants include €59k for AI leadership research (2021-2023) and €99k NordForsk funding. Active in conferences such as British Academy of Management and interdisciplinary leadership symposia. She advises on leadership development and serves as a module leader for global leadership courses. Labs/Teams: Co-leads The Hubris Hub research collective and directs ISM's executive communication initiatives. Current work explores AI ethics in leadership assessment and cross-industry sustainability leadership preferences.

• Machine Learning
• Artificial Intelligence
• Virtual Reality
• +۳ مورد دیگر

Simon Colreavy Donnelly is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and focuses on interdisciplinary research at the intersection of artificial intelligence, educational technology, and healthcare informatics. His work spans machine learning applications in medical data analysis, virtual reality (VR) and extended reality (XR) for inclusive education, and deep learning techniques in chemical analysis and spectroscopy. Research Interests: His primary areas of investigation include generative AI for education equity, semisupervised learning algorithms, virtual learning environments design, and the ethical deployment of immersive technologies in healthcare and palliative care. He also explores NMR spectroscopy analysis using deep learning and develops tools for nutritional content estimation through image processing. Collaborations: His recent collaborations span international teams addressing challenges in toxicity-free online discourse (PAN 2024), semisupervised learning distribution mismatches, and VR applications for post-pandemic blended learning. His work integrates computational methods with real-world applications in education, healthcare, and chemical analysis. Labs/Teams: Active within the Interaction Design Centre at UL, his research group develops practical solutions for accessibility in digital education and healthcare systems, emphasizing user-centered design principles for extended reality applications.

• Medical Imaging
• Breast Cancer Diagnosis
• Phase-Contrast Tomography
• +۴ مورد دیگر

Dr. Amir Tavakoli Taba is a Senior Lecturer in Medical Imaging Sciences at the University of Sydney, where he co-directs the Medical Image Optimisation and Perception Group (MIOPeG). He specializes in improving medical imaging accuracy, particularly in breast cancer diagnosis, through advancements like phase-contrast tomography and AI integration. His work bridges technological innovations (e.g., low-dose imaging) with clinical practice, emphasizing quality control and radiologist performance analysis. Education: PhD (University of Sydney) MEngSc (University of New South Wales) BSc (University of Tehran) Research Interests: Dr. Taba’s research focuses on phase-contrast computed tomography (PCT), AI-driven diagnostic tools, and clinical workflow optimization. His projects include the world’s first PCT clinical trial (scheduled for 2024 in Melbourne) and collaborations with institutions like ANSTO, Harvard Medical School, and the University of Iowa. He also investigates radiologist expertise development and the role of social networks in medical decision-making. Grants & Awards: NHMRC Synergy Grant (IMPACT: Implementation of X-ray Phase-Contrast Tomography) International recognition, including the SPIE Medical Imaging Award Advising & Labs: Current students: Mohammed ALANAZI (abdominal CT optimization), Jenna ARBID (phase-contrast imaging) Labs: MIOPeG, part of the Sydney Vital and Sydney Catalyst cancer research networks Teaching: Courses in imaging technologies, medical image perception, and clinical capstone projects for diagnostic radiography students.

• Control Theory
• Advanced Control Systems
• Model Predictive Control
• +۷ مورد دیگر

Liuping Wang is a Professor in the School of Electrical and Computer Engineering at RMIT University, Australia, since 2007. He serves as Head of Discipline for Electrical Energy and Control Systems since 2005 and teaches Advanced Control Systems (EEET 2100) and Real Time Estimation and Control (EEET 2221). Current academic rank: Professor Location: City Campus, Australia Industry collaborators: ANCA, Australian Power Academy, Advanced Manufacturing CRC His research interests span: Control Theory with applications to UAVs and industrial processes Development of Model Predictive Control systems System Identification using neural networks Robust Control for constrained systems Control of AC motors and power electronics Applications in biomedical research and food process monitoring The 15 most recent publications (2015-2025) demonstrate expertise in: UAV control systems with segmented surfaces Battery condition monitoring for electric vehicles Mult-agent robotics with coordination algorithms Smart grid security and electricity dispatch GPS-denied localization for mobile robots Disturbance observer control with input constraints As a supervisor, he oversees Masters Research and PhD projects but no specific student names are listed. His email is liuping.wang@rmit.edu.au for collaboration or supervision inquiries.

Ida Asadi Somehمشاهده پروفایل

دانشیار

• Business Analytics
• Artificial Intelligence
• Big Data
• +۷ مورد دیگر

Associate Professor Ida Asadi Someh is affiliated with the UQ Business School at The University of Queensland and serves as a research affiliate at the Centre for Information Systems Research (CISR) , MIT Sloan School of Management. She completed her PhD at The University of Melbourne in 2015, receiving the best PhD thesis award from the Melbourne School of Engineering and the Vice Chancellor’s PhD Prize . Her research spans business analytics , artificial intelligence , and data governance , focusing on the organizational and societal impacts of data and AI. Key areas include ethics of AI , privacy , accountability , and synergy in analytics systems . Recent publications highlight generative AI in business transformation, algorithmic fairness in public welfare systems, and data governance frameworks for ethical AI. Her work addresses digital transformation in both corporate and public sectors. Scientific awards include the best PhD thesis and Vice Chancellor’s PhD Prize at The University of Melbourne. She supervises PhD and Master’s students in data-driven organizations , privacy-preserving AI , and sepsis management through data .

Rosemary Fisherمشاهده پروفایل

مدرس ارشد

• Entrepreneurship Education
• Higher Education Pedagogy
• Flipped Learning
• +۷ مورد دیگر

Rosemary Fisher is a Senior Lecturer in Entrepreneurship and Innovation at Swinburne University of Technology's School of Business, Law and Entrepreneurship. She holds a PhD from Swinburne and multiple advanced degrees in business and arts disciplines. Her career spans academic leadership roles including Head of Commerce at Box Hill Institute and Course Director for the Master of Entrepreneurship at Swinburne. Fisher combines teaching with impactful research in entrepreneurship education, higher education pedagogy, and innovative teaching strategies like flipped learning. Education: PhD, Swinburne University of Technology MBA, University of Melbourne Master of Business (Professional Accounting), Victoria University Bachelor of Arts, Canberra College of Advanced Education Research Interests: Focuses on pedagogical innovations such as flipped learning's impact on student outcomes, entrepreneurial resilience, and strategies to enhance teacher status. Active in curriculum design for entrepreneurship programs and digital education solutions. Current projects explore AI's role in business education and EFL teaching methodologies. Awards: 2017 Faculty Teaching Excellence Award Academy of Management Distinguished Reviewer (2012, 2014) 2011 Outstanding PhD Thesis Award Grants & Projects: Lead researcher on initiatives addressing teacher retention, aged care feedback systems, and migrant business training. Recent grants include "$60K for AI in Entrepreneurial Education" and "$45K for EFL Flipped Learning Research". Professional Engagement: Editorial Board member for Active Learning in Higher Education and Journal of Effective Teaching . Serves on international committees for entrepreneurship education and pedagogical innovation. Active in policy development for social entrepreneurship and educational technology adoption.

• Embedded Systems
• System-on-Chip (SoC) Design
• Computer Architecture
• +۵ مورد دیگر

Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.

Muhammad Azmi UMERمشاهده پروفایل

مدرس

• Machine Learning
• Data Science
• Cyber Physical Systems
• +۳ مورد دیگر

Dr. Muhammad Azmi UMER is a Lecturer at DHA Suffa University and a Ph.D. Scholar at Karachi Institute of Economics and Technology, Pakistan. His research focuses on Machine Learning applications in Cyber Physical Systems (CPS), particularly intrusion detection in industrial control systems like the SWaT testbed. He holds a Master’s in Computer Science from Karachi Institute of Economics and Technology and a Bachelor’s from the University of Karachi. His academic work emphasizes cybersecurity challenges in smart grids, IoT healthcare systems, and adversarial machine learning techniques. Key contributions include developing decision tree-based intrusion detection frameworks and adversarial attack simulations for industrial systems. He collaborates with researchers like Dr. Jit BISWAS and Dr. Eyasu G. CHEKOLE within interdisciplinary teams. Publications span machine learning applications in smart cities, CPS security protocols, and IoT conceptual frameworks. His research bridges theoretical models with practical implementations in critical infrastructure security and urban technology systems.

Adalberto Campos Fernandesمشاهده پروفایل

دانشیار

• Health Administration
• Health Management
• Health Policies
• +۴ مورد دیگر

Adalberto Campos Fernandes is an Associate Professor at the National School of Public Health (NOVA-NSPH), Universidade NOVA de Lisboa, and a researcher at the Centro de Investigação em Saúde Pública (CISP/PHRC) and Comprehensive Health Research Centre (CHRC). He holds a PhD in Health Administration from Universidade de Lisboa. Previously, he served as Minister of Health of Portugal (2015–2018) and held leadership roles in major hospitals and healthcare institutions, including the Board of Directors of Hospital de Santa Maria and Hospital Pulido Valente. Education: PhD in Health Administration (Universidade de Lisboa), Master in Public Health (ENSP-NOVA), Specialist in Public Health, and Medical Degree (Faculdade de Medicina de Lisboa). Research Focus: Health Administration, Health Management, Sustainability of Health Systems, and Public-Private Partnerships in Healthcare. His work emphasizes the integration of social and health sectors, policy analysis, and healthcare system sustainability. Recent research explores decentralized healthcare models, the impact of AI in clinical coding, and obesity management strategies. He has contributed to over 96 publications and actively participates in policy debates on healthcare accessibility and system resilience. Key roles beyond academia include serving on the Board of Directors of several hospitals and leading initiatives in public-private healthcare collaborations. His professional experience bridges academic research, policy-making, and clinical administration, shaping Portugal’s healthcare landscape.

• Procedural Law
• Criminal Procedure
• Chain of Custody
• +۳ مورد دیگر

Andrea Jamardo Lorenzo is an Assistant Professor at the University of León , affiliated with the School of Law and working within the Department of Public Law . Her research focuses on Procedural Law , with particular emphasis on Chain of Custody mechanisms, Technology in Law , and Legal Education innovations. Education : PhD in Law from the University of León (2023), thesis titled La cadena de custodia: análisis sistemático , supervised by Dr. Piedad González Granda. Her research explores the legal configuration and technological evolution of chain of custody systems in both national and European contexts. She investigates how digital evidence handling , AI applications , and cybersecurity protocols impact judicial integrity and procedural guarantees. Recent work also addresses pedagogical methods like flipped classrooms and role-playing in legal education. Analysis of her publications reveals trends in criminal procedure reforms , comparative chain of custody models (Spain vs. US), and ethical implications of legal technology . While no scientific awards are documented, her work contributes to debates on judicial efficiency , fundamental rights , and data protection in criminal contexts.

• Tomography
• Computational Imaging
• Computer Science
• +۵ مورد دیگر

Joost Batenburg is a Professor at Leiden Institute of Advanced Computer Science (LIACS) , with a chair in Imaging and Visualization . He is affiliated with the Centrum Wiskunde & Informatica (CWI) and serves as Program Director for the interdisciplinary Society, Artificial Intelligence and Life Sciences (SAILS) initiative. His research focuses on tomographic image processing and reconstruction , where he has published over 80 journal articles and 60 conference papers. Current projects include Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA) and Center for Optimal, Real-Time Machine Studies of the Explosive Universe (CORTEX) , both funded by NWO grants. He leads the FleX-Ray Lab , a custom CT system integrated with advanced data processing algorithms. His research spans discrete tomography , real-time imaging pipelines , and AI-enhanced reconstruction methods , with applications in industrial inspection, agricultural analysis, and cultural heritage conservation. Recent articles demonstrate novel approaches to: Single-shot dynamic object tomography using level-set methods and motion modeling X-ray scattering quantification for defect detection in real-time systems Cross-modal image registration between CT scans and physical photographs Auto-differentiation in CT workflows combining classical and machine learning algorithms Scientific Awards: Dutch Award for ICT Research (2018) C.J. Kok Prize (2007) Philips Mathematics Prize (2006) He has supervised numerous PhD candidates including Mary Go, Eani Lachmansingh, and Zhichao Zhong, while maintaining editorial roles at IEEE Transactions on Computational Imaging and Journal of Mathematical Imaging and Vision . His work bridges theoretical mathematics with practical applications in agriculture, industry, and art conservation.

Ayhan Günمشاهده پروفایل

دانشیار

• Control Systems
• Mathematical Modeling in Electrical Engineering
• Artificial Neural Networks
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Ayhan Gün is an Associate Professor in the Department of Electrical and Electronics Engineering at Kütahya Dumlupınar University's Faculty of Engineering. With a career spanning over two decades, he has held various academic positions including Research Assistant, Assistant Professor, and currently Associate Professor since 2024. His extensive administrative experience includes serving as Head of the Control and Command Systems Department (2007-2021) and various leadership roles in university-industry collaboration initiatives. Dr. Gün completed his Bachelor's degree at Near East University (1991-1996), Master's at Dumlupınar University (1998-2001), and PhD at Eskişehir Osmangazi University (2001-2007). His research focuses on control systems, mathematical modeling, artificial neural networks, robotics, SCADA, PLC programming, electromechanical systems, nonlinear control, fuzzy logic, optimization techniques, automation, biomechanics, and mechatronics. His recent publications demonstrate a consistent research trajectory in control engineering, with particular emphasis on optimization algorithms applied to quadrotor control, inverted pendulum systems, and electrical motor design. His work bridges theoretical control concepts with practical implementations in robotics and power systems. A significant portion of his research involves applying swarm intelligence and evolutionary algorithms to solve complex control problems. Bilim, Sanayi ve Teknoloji Bakanlığı Kurumsal Kapasitenin Arttırılması (2016) BİLİM SANAYİ VE TEKNOLOJİ BAKANLIĞI Çift Beslemeli İndüksiyon Generatörü Tasarımı ve İmalatı (2016) Dr. Gün has supervised multiple graduate students and managed numerous research projects, including the current 'Robotic Arm Design and Implementation for Patients with Hemiparetic Arms' project. His external roles include serving as an expert witness for judicial institutions, project referee for TÜBİTAK, and publication reviewer for IEEE Transactions. He has also contributed to regional development through his work with Kütahya Governorship's Planning and Development Board.

Murat Arcakمشاهده پروفایل

استاد

• Control Theory
• Autonomous Systems
• Multi-Agent Systems
• +۵ مورد دیگر

Murat Arcak is a Professor of Electrical Engineering and Computer Sciences and Mechanical Engineering at the University of California, Berkeley, holding the Robert M. Saunders Endowed Chair in the College of Engineering. His research spans control theory, autonomous systems, and multi-agent systems with applications in transportation, energy, and biology. Dr. Arcak received his Ph.D. in Electrical Engineering from the University of California, Santa Barbara in 2000, following an M.S. from the same institution in 1997 and a B.S. from Bogazici University in Istanbul, Turkey in 1996. His research interests focus on developing scalable control design and verification methods for complex systems with many interconnected components, nonlinear dynamics, and learning capabilities. He has made significant contributions to control theory, particularly in areas like reachability analysis, dissipative systems, and compositional verification methods. His work bridges theoretical advances with practical applications in transportation systems, energy networks, and biological systems. A leading researcher in control systems, Dr. Arcak's recent publications demonstrate a strong focus on data-driven approaches for system verification, synthetic biology applications, and formal methods for traffic control. His research combines mathematical rigor with practical implementation, often developing novel theoretical frameworks that address real-world engineering challenges. CAREER Award from the National Science Foundation (2003) Donald P. Eckman Award from the American Automatic Control Council (2006) Control and Systems Theory Prize from SIAM (2007) Antonio Ruberti Young Researcher Prize from IEEE Control Systems Society (2014) Brockett-Willems Outstanding Paper Award (2021) IFAC Fellow (2020) IFAC Automatica Paper Prize (2020) CSS Transactions on Control of Network Systems Outstanding Paper Award (2017) Electrical Engineering Award for Outstanding Teaching (2014) CSS Antonio Ruberti Young Researcher Prize (2014) IEEE Fellow (2012) SIAM Activity Group Control and Systems Theory Prize (2007) Dr. Arcak has advised numerous graduate students and postdoctoral researchers, though specific names are not listed in the available information. His research has been supported by various grants from the National Science Foundation and other funding agencies, enabling his work on control theory and applications across multiple domains. He is affiliated with several research centers at UC Berkeley including the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Deep Drive (BDD), the Center for the Theoretical Foundations of Learning, Inference, Information, Intelligence, Mathematics and Microeconomics at Berkeley (CLIMB), the Institute of Transportation Studies (ITS), and Partners for Advanced Transit and Highways (PATH).

• Network Security
• Cloud Security
• Internet of Things Security
• +۵ مورد دیگر

Rémi Badonnel is a Professor in the Department of Computer Science at the University of Lorraine's Faculty of Science and Technology, affiliated with the LORIA research laboratory in France. With over 20 years of research experience, his work focuses on network security, cloud security, and network management systems. His research interests span multiple critical areas of cybersecurity including Network and cloud security architecture Internet of Things security frameworks Software-defined networking security Automated security configuration systems Cybersecurity education and workforce development His work often combines theoretical foundations with practical implementations, particularly in the areas of formal verification for security policies and machine learning applications for threat detection. Analysis of his recent publications (2021-2025) reveals a strong focus on cloud security challenges, particularly around service composition, migration security, and formal verification methods. His work increasingly incorporates AI/ML techniques for security automation while maintaining strong theoretical foundations in network management principles. His research shows consistent collaboration with European institutions, particularly in cybersecurity education initiatives. As an academic leader, he has supervised numerous researchers including Martín Barrère, Anthéa Mayzaud, Adrien Hemmer, and Nicolas Schnepf, who have co-authored multiple publications with him. His editorial roles for IEEE Transactions on Network and Service Management demonstrate his standing in the network security research community.