Barry Brown is a Professor at Stockholm University's Department of Computer and Systems Sciences. He leads the Stockholm Technology & Interaction Research (STIR) group, which combines technologists and social scientists to research and build new digital technologies within the Human-Computer Interaction field. His research interests include Human-Computer Interaction, Mobile Technology, Wearable Computing, and the social aspects of autonomous vehicles. Brown's work uniquely combines computer science with social sciences to study and design technology for both work and leisure settings. His recent research has utilized video methods to examine mobile phone use, smartwatch interactions, and drivers' experiences with self-driving cars. Barry Brown's publications reveal a strong focus on context-aware interaction, particularly in wearable technologies and autonomous vehicles. His research shows how social context significantly influences technology use, with findings on how presence of others, activity type, location, and time of day affect interaction patterns. His work bridges technical design with social understanding, examining how people integrate new technologies into everyday life. Barry Brown has authored the book "Enjoying Machines" (MIT Press, 2015) and edited "The SAGE handbook of digital technology research" (Sage, 2013). He currently leads research projects on "implicit interaction" and critical approaches to security in the Internet of Things. His current research projects include "AI in motion," which studies the social order of traffic when artificial and human intelligence meet on the road, and "From Tracking to Hacking," which explores how people interact with sleep technology outside normative schedules.
جستجوی استاد راهنمای دانشگاهی
برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۶۱-۶۴ از ۶۴ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
- Mechatronics
- Control Systems
- Flight Dynamics
- +۷ مورد دیگر
Dr. Aarti Panday serves as a Lecturer at the University of the Witwatersrand's School of Mechanical, Industrial & Aeronautical Engineering, where she teaches Mechatronics and Postgraduate Flight Dynamics and Control. With over 18 years of integrated academic and industry experience since 2004, she bridges theoretical research with practical aerospace applications. Her academic credentials include: BSc (Aerospace Engineering) MSc (Engineering) PhD (University of the Witwatersrand) Graduate Diploma in Education (GDE) Dr. Panday's research spans multiple critical domains: Mechatronics, Robotics, and Advanced Control Systems Flight Dynamics and Aerial Refuelling for manned/unmanned aircraft Technology Management, Commercialisation, and Intellectual Property Aircraft Certification and Regulatory Compliance Analysis of her recent publications reveals consistent application of evolutionary algorithms and neural networks to solve control challenges in aerospace and building systems, particularly in aerial refuelling maneuvers and elevator dynamics for supertall structures. Her industry background—including work on the Rooivalk helicopter, A-Darter missile, and regulatory approvals for aircraft like the Airbus A320—provides exceptional context for students. Since 2013, she has expanded her impact through technology management, supporting innovators via due diligence, investment scoping, and strategic partnership development with government and industry entities.
Emmanuel Grolleau is a Full Professor at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique) specializing in real-time systems. He is affiliated with the LIAS laboratory (Laboratoire d'Ingénierie des Applications de la Sensorique) where he leads the Real Time Team. His work bridges theoretical scheduling principles with practical embedded system implementations across multiple domains. Professor Grolleau's primary research interests include: Real-Time Scheduling: uniprocessor, multiprocessor, and distributed scheduling with practical considerations like transactions and precedence constraints Model-Based Systems Engineering (MBSE): developing bridges between UML-MARTE and AADL to real-time scheduling tools Unmanned Aerial Vehicles (UAVs): autopilot architecture design and optimization Energy Systems: co-heading the LabCom ANR Laboratoire d'Insertion des Énergies Nouvelles et d'Optimisation des Réseaux (LIENOR) His publication record demonstrates a clear progression from fundamental scheduling theory to applied work spanning avionics, drone technology, and power systems. Recent work shows strong focus on UAV autopilot architectures, model-based frameworks for real-time systems, and energy management in power distribution networks. Professor Grolleau serves on multiple prestigious program committees including Real-Time Networks & Systems (RTNS) since 2012, ACM/SIGAPP Symposium On Applied Computing (SAC) since 2015, DETECT since 2018, and DroneSE in 2023. He has led significant research projects such as PIA CORAC Panda and FUI WARUNA, which developed the Time4Sys pivot meta-model to connect theoretical scheduling with practical implementation. His collaborative work extends across multiple institutions and industries, with publications spanning real-time scheduling theory, UAV systems, energy management, and avionic architectures. The consistent thread through his work is the practical application of real-time scheduling principles to solve complex engineering problems in safety-critical systems.
Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.