جستجوی استاد راهنمای دانشگاهی

Mansour Karkoubمشاهده پروفایل

استاد

• Robust Control
• Vibration Control
• Robotics
• +۲ مورد دیگر

Mansour Karkoub serves as Associate Dean of Accreditation & Assessment at Lamar University's College of Engineering, holding the Michael E. and Patricia P. Aldredge Endowed Chair while serving as Professor of Mechanical Engineering. His academic career spans leadership roles at Texas A&M University, the Petroleum Institute (Abu Dhabi), and INRIA (France), with expertise rooted in robotics and control systems. Education: Ph.D. Mechanical Engineering, University of Minnesota M.S. Mechanical Engineering, University of Minnesota B.S. Mechanical Engineering, University of Minnesota Habilitation to Direct Research (HDR), University of Versailles, France Research Focus: Dr. Karkoub pioneers Robust Control methodologies (H-infinity, adaptive, AI-based), Vibration Control for flexible structures, and Robotics applications spanning medical, inspection, and manufacturing systems. His work on Ground/Underwater Autonomous Vehicles addresses self-driving technologies and mobile robotics, while his Engineering Education research integrates ABET accreditation standards with technology-enhanced learning. Publication Trends: Recent articles (2021-2024) reveal concentrated advancements in neural network-integrated motion cueing algorithms, adaptive fuzzy control for underwater manipulators, and sustainable energy harvesting from vehicle suspensions. His work consistently bridges theoretical control frameworks with real-world applications in autonomous systems, emphasizing uncertainty handling and disturbance rejection. Scientific Recognition: Outstanding Researcher Award (2019, Texas A&M Qatar) Distinguished Achievement Award (2012, Dwight Look College) Best Teacher Award (2012, Texas A&M Qatar) Fellow of ASME, IET, and IMechE IEEE Senior Member Research Leadership: Secured over $12M in funding including a $1.2M 2022 grant for smart vehicle research. Founded and directs the Smart Systems Laboratory at Texas A&M Qatar, mentoring teams focused on autonomous vehicle innovation while leading ABET accreditation initiatives as a commissioner. Laboratory Impact: The Smart Systems Laboratory drives advancements in underwater vehicle manipulators, medical robotics, and energy-efficient transportation through cross-disciplinary collaboration, directly translating control theory into deployable autonomous systems for industrial and medical applications.

• Rich Web-based Applications Engineering
• Software Design
• Software Architectures
• +۴ مورد دیگر

Nalaka R. Dissanayake serves as a Senior Lecturer in the School of Computer Science and Engineering at the University of Westminster, where he contributes to the Software Systems Engineering Research Group. With 17 years of academic experience since 2007, he progressed from student instructor to his current senior position while completing his doctoral studies. His foundational education includes a B.Sc. in Information Technology from the Sri Lanka Institute of Information Technology (2007), an M.Phil. from the University of Colombo School of Computing (2017), and a Ph.D. from the University of Westminster (2024). Dr. Dissanayake's research centers on rich web-based applications engineering, where he has established significant contributions through architectural style development and design methodology formalization. His work introduces specialized concepts including RiWAArch Style, BAW-MVC, and delta communication principles that address core challenges in web application state management and communication efficiency. Current research frontiers actively explore prompt engineering techniques for integrating AI/ML capabilities into rich web applications, demonstrating adaptation to emerging technological paradigms while maintaining focus on architectural fundamentals. His publication portfolio reveals a clear research trajectory evolving from AJAX application foundations (2013-2014) through architectural pattern specification (2017-2020) toward comprehensive design methodology development (2023-2024). This progression demonstrates increasing theoretical sophistication while maintaining practical implementation relevance, with consistent output across journals like the Journal of Web Engineering and major conferences including FTC and ICTer. As an active academic contributor, Dr. Dissanayake serves as a reviewer for the Journal of Web Engineering and various conferences. His research group membership provides access to collaborative opportunities within the university's software engineering ecosystem, while his extensive teaching experience across multiple institutions offers valuable mentorship perspective for graduate students.

• Control Theory
• Estimation and filtering theory
• Complex dynamical distributed networks
• +۳ مورد دیگر

Daniel W. C. HO is a Chair Professor of Applied Mathematics and Associate Dean (Undergraduate Education) at the College of Science, City University of Hong Kong. He has been with City University of Hong Kong since 1989, having previously served as a Research Fellow at the University of Strathclyde, Glasgow, UK from 1985 to 1988. Prof. Ho received first class honours in BSc, MSc, and PhD degrees in mathematics from the University of Salford, Greater Manchester, UK in 1980, 1982, and 1986, respectively. His academic journey began with foundational work in control theory and has evolved into a distinguished career spanning over three decades. Prof. Ho's research interests span multiple domains in control theory and systems engineering. His primary focus areas include Control Theory , Estimation and filtering theory , Complex dynamical distributed networks , Multi-agent networks , Nonlinear singular systems , and Stochastic systems . His work bridges theoretical advances with practical applications, particularly in networked control systems, cybersecurity for cyber-physical systems, and distributed optimization. Prof. Ho has made significant contributions to the understanding of synchronization phenomena in complex networks, resilient control under cyber attacks, and quantized control systems with communication constraints. His research has evolved from classical control theory to address contemporary challenges in networked and distributed systems, reflecting the changing landscape of control engineering. Prof. Ho's publication record shows a strong emphasis on secure control systems under cyber attacks, distributed optimization with communication constraints, event-triggered control schemes, quantized control systems, and synchronization of complex networks. His work demonstrates a consistent progression from theoretical foundations to addressing practical implementation challenges in cyber-physical systems, with increasing focus on security aspects in recent years. Prof. Ho has received numerous prestigious awards and honors throughout his career. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2017 and elevated to IEEE Life Fellow status in 2024. He was awarded the Chang Jiang Chair Professorship by the Ministry of Education, China in 2012. Prof. Ho has been recognized as a Highly Cited Researcher for eleven consecutive years from 2014 to 2024, and is among the Top 2% of most highly cited scientists globally from 2020 to 2024. He received the Best Paper Award from The 8th Asian Control Conference in 2011 and the Teaching Excellence Award from City University of Hong Kong in 2020 for his innovative teaching approaches. Prof. Ho has held significant editorial responsibilities, serving as Subject Editor of the Journal of Franklin Institute, Co-Editor in Chief of Franklin Open, Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, Asian Journal of Control, and Action Editor of Neural Networks. He has also served on the editorial boards of several other prestigious journals, contributing to the advancement of his field through scholarly communication. His leadership extends beyond research and teaching as Associate Dean (Undergraduate Education) of the College of Science at City University of Hong Kong, where he plays a key role in shaping the educational experience for science students.

• Control Theory
• Two-Dimensional Systems
• Singular Systems
• +۶ مورد دیگر

Mariem Ghamgui is an Associate Professor in the Automatic Control and Systems Department at the National Engineering School of Poitiers (ENSIP), University of Poitiers. She conducts research at the Laboratory of Computer Science and Automatic Control for Systems (LIAS), with facilities at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil-du-Bois. Her expertise centers on control theory for multidimensional systems, specializing in stability analysis of 2D systems, singular systems, and time-delayed systems. She develops robust control methodologies using linear matrix inequalities (LMIs) and Lyapunov theory, with applications in networked control and engineering systems requiring guaranteed stability under parametric uncertainties. Her work bridges theoretical rigor with practical implementation challenges in complex dynamical systems. Analysis of her recent publications reveals a cohesive research trajectory focused on 2D system stability (2017-2023), singular system control (2018-2023), and time-delay analysis (2011-2015). She consistently employs LMI-based approaches to address stability, stabilization, and performance evaluation across hybrid, discrete, and continuous frameworks. Key contributions include strict LMI formulations for singular systems (2019) and event-triggered control solutions for singular systems (2023). Within LIAS, Professor Ghamgui is a core member of the Automatic Control Team, collaborating on theoretical and applied projects spanning both ENSIP and ISAE-ENSMA campuses. The team maintains active research in control systems theory, with publications in top-tier journals like IEEE Transactions on Automatic Control and Circuits, Systems, and Signal Processing.

• Control Systems
• Stability Analysis
• Renewable Energy Systems
• +۴ مورد دیگر

Driss Mehdi is a Full Professor in the Department of Automatic Control and Systems at the University of Poitiers, affiliated with the LIAS-ENSIP laboratory. His research spans control theory, renewable energy systems, and industrial process optimization, with a strong focus on stability analysis and applied control solutions. Research Interests: Prof. Mehdi's work integrates theoretical rigor with practical applications. Key areas include: Advanced stability analysis using Linear Matrix Inequalities (LMI) for multidimensional systems Design of robust/fuzzy controllers for renewable energy (photovoltaic/wind hybrid systems) Optimization of industrial processes (e.g., wastewater biofiltration) His recent publications (2018–2025) emphasize renewable energy control and environmental applications, reflecting a consistent trend toward sustainable technology solutions. Articles frequently utilize LMI-based methodologies and address real-world challenges in energy management and process control. Prof. Mehdi collaborates extensively on industrial projects, including wastewater treatment optimization and solar energy systems, though specific grant/lab details are not provided in the source text.

• Control Theory
• Multi-Agent Systems
• Robotics
• +۳ مورد دیگر

Ahmed Rahmani serves as an Associate Professor at Centrale Lille, where he is affiliated with the CRIStAL research laboratory and the SoftE research team. His office is located in room C321 at the Scientific City campus, reflecting his deep integration within the institution's research infrastructure. His research focuses on advanced control systems, specializing in Multi-Agent Systems, Robotics, Distributed Control, Fractional-Order Systems, and Event-Triggered Control. His work bridges theoretical frameworks with practical applications in cooperative navigation, cyber-physical security, and multi-robot coordination, addressing critical challenges in system resilience and optimization. Professor Rahmani has supervised 14 doctoral students to completion, guiding research on topics including discontinuous cooperative control, Lie group approaches for multi-robot systems, fractional-order multi-agent control, and resilient cyber-physical systems. His advisory portfolio demonstrates sustained impact across both theoretical advancements and real-world implementations in control engineering.

Jennifer Ruh Linderمشاهده پروفایل

استاد

• Developmental Psychology
• Media Psychology
• Aggression Research
• +۳ مورد دیگر

Dr. Jennifer Ruh Linder is a Professor of Developmental Psychology at Linfield University specializing in childhood and adolescent development. Her research examines aggression in relationships and media effects across developmental stages. Her academic credentials include: Bachelor of Arts from the University of New Hampshire Master of Arts from the University of Minnesota Doctor of Philosophy from the University of Minnesota Dr. Linder's research centers on relational aggression, media violence, and gender socialization. She investigates how television, video games, and digital media influence children's social behavior, body image, and gender identity formation. Her work uniquely bridges developmental psychology with media studies, examining both short-term priming effects and longitudinal impacts of media exposure on aggression norms and stereotyping. She frequently employs mixed-methods approaches to analyze media content and its psychological consequences. Analysis of her 15 most recent publications (2008-2021) reveals consistent focus on longitudinal media effects research. Key trends include the developmental trajectory of princess culture impacts, gendered responses to athletic imagery, and superhero media's dual influence on aggression and prosocial behavior. Her work demonstrates how media exposure interacts with parental mediation and individual differences to shape developmental outcomes. No scientific awards were documented in the provided materials. While specific advising details were unavailable, her publication record indicates mentorship of graduate students through collaborative research. Grant funding information was not specified in the source materials. No dedicated research laboratories or formal research teams were mentioned in the provided documentation.