Find Academic Supervisors

• Computer Networks
• Wireless Communication
• Unmanned Aerial Vehicles (UAVs)
• +3 more

Talip Tolga Sarı is a Research Assistant at the Department of Computer Engineering , Istanbul Technical University , where he has been affiliated since 2019. He holds a PhD in Computer Engineering (2021), a Master's in Computer Engineering (2018), and dual Bachelor's degrees in Computer Engineering and Electronics & Communication Engineering (2015). Education PhD in Computer Engineering, Istanbul Technical University (2021) Master's in Computer Engineering (2018) Bachelor's in Computer Engineering (2015) Bachelor's in Electronics & Communication Engineering (2015) Research interests span Computer Networks , Wireless Communication , and Unmanned Aerial Vehicles (UAVs) , with a focus on semantic communication , UWB localization , and topology control for resilient networks. His recent publications address UAV swarm coordination , smart campus frameworks , and assisted localization systems , reflecting interdisciplinary applications of computer science in real-world problems. Key trends in his 15 most recent articles include decentralized UAV networks, semantic communication architectures, and UWB-based indoor positioning. His work combines machine learning, cross-layer routing, and software-defined networking paradigms, with citations spanning Computer Science , Robotics , and Network Security . Awards : Highest Performance Award, Istanbul Technical University (2025)

• Computer Engineering
• Software Engineering
• Artificial Neural Networks
• +4 more

Dr. Željko Jovanović is an Assistant Professor at the Department of Computer and Software Engineering , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. He holds a PhD in Electrical Engineering and Computing (2020) from the University of Niš, with a focus on Application of IT in improving the quality of patient transport , and a Diploma Engineer in Computer Science (2008) from the University of Kragujevac. Current roles: Head of Department (2023–present), Coordinator of Undergraduate Studies (2021–present) Teaching areas: Programming basics, Object-oriented programming, Software engineering, Medical informatics (PhD studies) His research focuses on Computer Engineering and Software Engineering , with applications in Medical Informatics , Intelligent Transportation Systems , IoT , and Smart Cities . He has contributed to 15+ publications in journals and conferences, including IEEE Transactions on Intelligent Transportation Systems , Electronics , and Transactions in GIS , emphasizing artificial neural networks , data mining , and comfort assessment in healthcare and transportation contexts. Projects include the national TR32043 initiative on low-power computing systems and the international NeReLa project for remote labs. He has developed technical solutions for thermal comfort monitoring , smart suspension control , and IoT-based systems , and serves on academic committees for software engineering and computer science education.

• Human-Computer Interaction
• 3D Printing
• Wearable Computing
• +3 more

Daniel Lee Ashbrook is an Associate Professor in the Department of Computer Science at the University of Copenhagen (DIKU). He specializes in Human-Centred Computing, focusing on tangible user interfaces, wearable technology, and computational fabrication. His work bridges hardware innovation with practical applications in interactive design. Research Themes : Embedded sensors, 3D-printed interactive systems, pneumatic computing, and accessible fabrication tools. Collaborations : Regularly works with researchers like Victor Savage and Hyeon-Jeong Kim on novel interface technologies. Recent publications highlight advancements in tactile feedback systems, multi-material fabrication, and sensor integration in everyday objects. His projects often combine physical and digital elements for intuitive user experiences. Key trends include democratizing hardware prototyping and enabling electronics-free interactivity. Awards : ISWC 2012 Best Papers Award. Contact : Email dan@di.ku.dk or call +45 53638312.

• Rehabilitation Engineering
• Human-Computer Interaction
• Sensor Systems
• +5 more

J.A.M. Haarman serves as Assistant Professor at the University of Twente, holding dual appointments at the Digital Society Institute and within the Human Media Interaction department. His research bridges rehabilitation engineering and human-computer interaction, focusing on developing innovative tools for home-based therapy. Haarman's research centers on integrating rehabilitation with Activities of Daily Living (ADL), particularly for stroke patients requiring hand function recovery. His work spans rehabilitation engineering , sensor systems , and medical robotics , with emphasis on user-centered design of smart objects that transform ordinary household items into therapeutic tools. Key projects include TumbleTooth for hand-stroke rehabilitation and Gr!pp for seamless ADL integration, demonstrating his commitment to making therapy accessible outside clinical settings. His publication trends reveal consistent innovation in Wearable sensor systems for physiological monitoring Material science applications in rehabilitation devices Behavior recognition through multi-sensor fusion Home-based therapy validation studies with recent work expanding into infant healthcare monitoring and public engagement through initiatives like Freehabilitation. Haarman actively supervises graduate students, serving as examiner for multiple theses focused on rehabilitation technology. His collaborations span clinical partners and engineering teams, with notable projects presented at TEI conferences and published in Sensors journal. He maintains strong industry and clinical connections through activities like Rehab Week participation and invited talks at specialized conferences, while media coverage in Science Stories and Pride & Prejudice Magazine demonstrates effective public communication of his research impact.

Michael RiveraView profile

Assistant Professor

• Human-Computer Interaction
• Digital Fabrication
• Computational Design
• +4 more

Michael Rivera is an Assistant Professor of Computer Science at the ATLAS Institute, University of Colorado Boulder. He directs the Utility Research Lab—a highly interdisciplinary group that invents and investigates digital manufacturing technology by combining materials science, computational fabrication, and sustainable design practices. His research has been published in premier human-computer interaction venues including ACM CHI, UIST, DIS, and IMWUT, and featured in national media outlets such as NPR's All Things Considered, Ars Technica, and CBS News. Dr. Rivera earned his Ph.D. and M.S. in Human-Computer Interaction from Carnegie Mellon University's Human-Computer Interaction Institute, where he was advised by Scott Hudson. Prior to CMU, he completed a M.S.E in Computer Graphics and Game Technology and a B.S.E in Digital Media Design at the University of Pennsylvania, and worked as a software engineer at Facebook. Michael Rivera's research focuses on sustainable digital fabrication techniques that democratize access to manufacturing tools while addressing environmental concerns. His work explores bio-based materials, computational recycling approaches, and low-cost fabrication methods. The Utility Research Lab has developed innovative projects including the Desktop Biofiber Spinning Machine for Smart Textiles Design and techniques for 3D Printing with Spent Coffee Grounds. His research bridges materials science, computational design, and human-centered approaches to create more accessible and environmentally responsible fabrication technologies. Rivera's publication record shows a clear trajectory toward increasingly sophisticated computational approaches to sustainable manufacturing. His recent work emphasizes material recycling processes, biofiber development, and computational design pipelines that enable disassembly and reuse of fabricated objects. This research direction reflects a commitment to addressing the environmental impact of digital fabrication while expanding its accessibility to diverse users and contexts. CRA/CCC Computing Innovation Fellowship Google CMD-IT Dissertation Fellowship Carnegie Mellon University Sansom Endowed Presidential Fellowship Adobe Research Fellowship Honorable Mention Xerox Technical Minority Scholarship Dr. Rivera is actively recruiting PhD students to join the Utility Research Lab, demonstrating his commitment to mentoring the next generation of researchers in human-computer interaction and digital fabrication. His research has been supported by prestigious fellowships including the NSF/CRA Computing Innovation Fellowship. He collaborates extensively with researchers across institutions, as evidenced by his co-authorship with scholars from various universities. The Utility Research Lab, directed by Dr. Rivera, serves as a hub for interdisciplinary innovation in digital fabrication. The lab has developed several notable projects that reflect its mission to advance science and engineering while positively impacting people, society, and the environment through sustainable design practices. Current work focuses on computational approaches to material recycling, biofiber design, and novel animation techniques that make fabrication more accessible and environmentally responsible.

• Robotics
• Autonomous Mobile Robots
• Rescue Robotics
• +3 more

Michael Zauner is a Researcher at the University of Applied Sciences Upper Austria, based at the Research Center Wels within the Center of Excellence for Smart Production. His work focuses on Smart Automation and Robotics, with significant contributions to autonomous systems for industrial and disaster response applications. Education: Bachelor of Science (BSc) Master of Science (MSc) Engineer (Ing.) Zauner's research centers on robotics engineering, particularly autonomous mobile robots and rescue robotics. His work addresses critical challenges in disaster scenarios through computer vision for hazmat recognition, and advances industrial applications via flexible robot architectures and automated utility vehicles. Key specialties include robot middleware development, control systems for microcontrollers, and novel mechanisms for rough terrain navigation in rescue operations. His publication trend (2018-2025) reveals consistent innovation in robotics, with recent work spanning from practical implementations like electrolyzer control systems to theoretical explorations of electromagnetism in four-dimensional space. The research demonstrates strong interdisciplinary connections between computer science, mechanical engineering, and emergency response systems. No scientific awards were documented in the provided information. Zauner has secured research funding through projects including Autility (2018-2021) developing automated utility vehicles for transportation/work processes, and a 2012 electrolyzer control prototype project where he served as Principal Investigator. No student advisement activities were recorded in the available data. He operates within the Center of Excellence for Smart Production's Smart Automation and Robotics group at Research Center Wels, collaborating on Upper Austria's robotics initiatives including rescue robot standardization and industrial automation systems.

Dimitrios D. PiromalisView profile

Associate Professor

• Electronic Embedded Systems
• Autonomous Vehicles
• Internet of Things (IoT)
• +7 more

Dimitrios D. Piromalis is an Associate Professor at the University of West Attica , specifically within the Department of Industrial Design and Production Engineering . He leads the Research Lab of Electronic Automation, Telematics and Cyber-Physical Systems (EATCPS) , focusing on electronic embedded systems for applications in autonomous vehicles, IoT, and cyber-physical systems. With over 120 publications and extensive industry collaboration spanning 25 years, his work bridges academic research and practical engineering solutions. Education : BSc, MSc, and PhD in Electrical and Electronics Engineering. Research Focus : Electronic embedded systems, autonomous vehicles, IoT, cyber-physical systems, digital twins, 3D/4D printing, energy management, and smart agriculture. Recent publications highlight trends in TinyML for smart cities, predictive maintenance integration, hybrid energy storage for EVs, and digital twin applications across agriculture and automotive sectors. His work also extends to emergency communication systems, biomedical sensors, and blockchain-enabled energy gateways. Industry Collaboration : Field Application Engineer and Technical Consultant for multinational semiconductor companies. Teaching : Platforms for AI and Python programming, autonomous vehicles and drones.

• Human-Robot Interaction
• Augmented Reality
• Virtual Reality
• +5 more

Doris Aschenbrenner is a researcher specializing in human-robot interaction and augmented reality applications for industrial maintenance systems at Julius Maximilians University Würzburg. Her work bridges computer science, engineering, and human factors disciplines to develop practical solutions for Industry 4.0 environments. Her research focuses on Human-Robot Interaction , Augmented and Virtual Reality for industrial applications , Human-in-Command systems , and Industry 4.0 technologies . She has conducted extensive work on AR-assisted maintenance operations, digital twins for production environments, and human factors considerations in collaborative robotics systems. Her research demonstrates how immersive technologies can enhance manufacturing processes while maintaining appropriate human oversight and control. Her publication record shows significant contributions to conferences like ISMAR, VR, and Frontiers in Robotics and AI, with a consistent output from 2013 through 2024. Her recent work has focused on regulatory aspects of AI implementation in manufacturing, particularly regarding the EU AI Act, and developing platforms for digital remote maintenance services. Her research has practical implications for manufacturing industries seeking to implement advanced human-machine collaboration systems while addressing regulatory requirements and human factors considerations.

• Extended Reality
• Machine Learning
• Augmented Reality
• +3 more

Ying Chen is an Assistant Professor in the Department of Information Technology at the College of Computing and Software Engineering, Kennesaw State University. Her research integrates extended reality (XR) and machine learning to develop intelligent AR/VR systems that leverage environmental sensing and user behavior modeling for immersive, personalized experiences. Education: Ph.D. in Electrical and Computer Engineering, Duke University (2024) M.S. and B.Eng., Beijing University of Posts and Telecommunications (2019, 2016) Research Focus: Dr. Chen pioneers adaptive XR systems, SLAM optimization, and edge-assisted computing. Her work addresses resource constraints in mobile VR/AR through predictive modeling and machine learning, enhancing real-time interactions and system efficiency across IoT environments. Publication Trends: Recent works demonstrate strong emphasis on pose estimation algorithms, edge-AI integration for XR, and efficient data acquisition methods. Her publications consistently bridge theoretical models with practical implementations in mobile and embedded systems. Awards: ACM/IEEE IPSN 2024 Best Artifact Runner-up NSF Athena 2023 Best Poster Runner-up Google Networking Research Summit & EECS Rising Stars invitee (2023) Multiple IEEE INFOCOM Travel Grants Duke ECE Diversity Fellowship (2019) Mentoring & Service: Actively advises 17+ students across academic levels, serves on technical committees (CPS-IoT 2025, IEEE ICCCN 2024), and reviews for top journals (IEEE Transactions on Mobile Computing) and conferences (ACM SenSys, MobiCom). Lab Affiliations: Previously affiliated with Duke University's Intelligent Interactive Internet of Things Lab under Prof. Maria Gorlatova.

Les NorfordView profile

Professor

• Building Energy Efficiency
• Urban Climate
• HVAC Systems
• +6 more

Les Norford is a Professor at MIT’s Department of Architecture, specializing in sustainable building design, energy efficiency, and urban climate studies. He holds academic appointments since 1988 and served as Associate Head of the Department of Architecture from 2006. His research integrates building system diagnostics, HVAC optimization, and urban heat island mitigation, with notable contributions to non-intrusive load monitoring (NILM) and thermal comfort modeling. Education: BS in Engineering Science (Cornell University, 1973); PhD in Mechanical & Aerospace Engineering (Princeton University, 1984) Professional Experience: Former nuclear engineer (US Navy/DOE), lecturer at Princeton, consultant with Tabors Caramanis & Associates Labs/Initiatives: Director of Singapore-MIT Alliance for Research and Technology (SMART)’s Center for Environmental Sensing and Modeling (CENSAM) Research interests include energy-efficient building operations, climate-responsive architecture, and smart grid technologies. His work addresses challenges in tropical urban environments, cooling system innovation, and decarbonized energy infrastructure. Collaborations with institutions like Lawrence Berkeley National Lab and Montana State University highlight his interdisciplinary approach. Notable projects include developing NILM systems for real-time energy monitoring and creating urban microclimate models (e.g., WRF-based simulations for Singapore). He advocates for data-driven approaches to improve building controls and reduce operational carbon footprints.

Nabeel NasirView profile

Academic

• Cyber Physical Systems
• Internet of Things (IoT)
• Distributed Systems
• +3 more

Dr. Nabeel Nasir is an Assistant Teaching Professor at the University of California, Santa Barbara (UCSB) in the Department of Computer Science. He holds a PhD in Computer Science from the University of Virginia (2024), an MTech from IIT Bombay, and a BTech from Cochin University. His research focuses on Cyber Physical Systems, IoT, and Distributed Systems, particularly in democratizing edge computing for IoT and enhancing data privacy in shared IoT environments. Education Background: PhD in Computer Science, University of Virginia (2024) MTech in Computer Science, Indian Institute of Technology Bombay BTech in Computer Science, Cochin University Research Interests: Dr. Nasir's work bridges the gap between theoretical research and practical IoT applications, emphasizing edge computing democratization, energy-efficient IoT systems, and data privacy controls. He explores how underutilized IoT gateways can be harnessed for decentralized edge platforms, reducing reliance on centralized cloud infrastructure. His contributions include the NexusEdge system and studies on low-power IoT devices' energy impacts. Teaching Contributions: Passionate about education, he teaches courses like Object-Oriented Design and Data Structures at UCSB. He co-taught a pioneering Wireless for IoT course and has received the 2023 Outstanding Graduate Teaching Award. His teaching philosophy emphasizes broadening CS participation and integrating undergraduate research in CPS and education. Awards and Honors: Outstanding Graduate Teaching Award (UVA CS, 2023) Endowed Graduate Fellowship (UVA Engineering, 2023) Best Presentation Award (ACM SenSys PhD Forum, 2021) Professional Experience: Prior to academia, Dr. Nasir worked as an Android Developer at Adobe and a Software Developer at EnLite Research, where he developed IoT solutions for energy efficiency. His industry experience informs his research on practical IoT challenges.

Viktor KaptelininView profile

Professor

• Human-Computer Interaction (HCI) Theory
• Activity Theory
• Affordances
• +5 more

Viktor Kaptelinin is a Professor at the Department of Informatics, Umeå University, Sweden. His research focuses on Human-Computer Interaction (HCI) theory, user research methods, and human-robot interaction. He is affiliated with Umeå University’s Department of Informatics and actively contributes to projects involving socially intelligent systems and IoT-enabled interaction design. Current academic rank: Professor Institution: Umeå University Department: Department of Informatics His research explores HCI theory through frameworks like Activity Theory and Existential Inquiry , analyzing how users engage with technologies in social and physical contexts. Key areas include human-robot interaction , affordances , and designing technology-enhanced activity spaces . Recent publications highlight trends in proactive social robotics , contextual framing , and stress management applications . His work spans robotic telepresence , ambient smart objects , and user-driven interaction design . Projects include: Digital Companions as Social Actors (2020–2026): Developing stress management systems using social robotics Mobile Remote Presence in IoT-enabled environments (2016–2019): Addressing interaction design challenges Viktor collaborates with researchers across Europe, contributing to workshops and conferences like CHI , HRI , and NordiCHI . His methodological focus includes low-fidelity prototyping , collaborative reflective rescaling , and empirical user studies .

• Renewable Energy
• Wind Turbine Engineering
• Fluid Dynamics
• +3 more

Dr. Yan He is a Research Fellow at the School of Engineering , Cardiff University , focusing on renewable energy systems and wind turbine optimization. Their work bridges advanced computational modeling with practical energy solutions. Education: PhD in Electrical Engineering (2016), Cardiff University Research Interests span wind turbine aerodynamics, wake modeling, machine learning for energy systems, and fatigue analysis in wind farms. They develop innovative frameworks for offshore wind farm layout optimization and yaw control strategies to enhance efficiency while reducing structural loads. Publications highlight expertise in floating offshore wind turbines , yaw misalignment mitigation , and rotating stall dynamics , combining theoretical models with experimental validation. Their recent work integrates generative adversarial networks and convolutional neural networks for wind farm power prediction. Labs & Teams include collaborations with Cardiff's renewable energy research units, utilizing wind tunnel experiments and computational simulations to advance turbine design and control systems.

Ignacio Bravo MuñozView profile

Professor

• Electronics Engineering
• Signal Processing
• FPGA Applications
• +3 more

Ignacio Bravo Muñoz is a Professor at the Department of Electronics, Universidad de Alcalá (Spain), affiliated with the GEINTRA research group focusing on Electronic Engineering applications in Intelligent Spaces and Transport. He holds a PhD from Universidad de Alcalá (2007) with a thesis on FPGA-based object detection using computational vision and PCA techniques. His research spans indoor positioning systems (using LED/PSD sensors), sustainable energy frameworks for smart communities, FPGA-based hardware design , and remote laboratory platforms . Key contributions include real-time metrology for ESA's PLATO mission, cooperative demand response algorithms, and innovative pedagogical approaches integrating sustainability into digital electronics education. Recent work emphasizes edge computing for video surveillance , machine learning in human action recognition , and non-cooperative target identification using radar signatures. His interdisciplinary projects bridge electronics engineering with energy systems, biomedical applications, and educational technology. He actively collaborates with industry and academic institutions on EU-funded projects, contributing to advancements in aerospace instrumentation (PLATO FPA qualification), smart grid technologies, and STEM education innovation.

• Speculative Design Fiction
• Experimental Architecture
• Posthuman Futures
• +5 more

Derek Hales is a Researcher at the University of Salford's School of Science, Engineering & Environment, affiliated with the Built and Human Environments (BuHU) research group and MediaCityUK Immersive Technology Innovation Accelerator. His work bridges architecture, literature, media, and science through speculative design methodologies, operating at the intersection of posthuman futures, cyberphysical technologies, and virtual architectures. His research explores speculative design fiction, experimental architecture, and digital twinning through para-academic initiatives including The New Centre for Research & Practice, Extraordinary Experimental Laboratory, and DreamLab collective. Key projects examine 'machinic organs' for Soft House architecture and infrastructure digital twinning, drawing on Deleuzian philosophy and process thought to challenge disciplinary boundaries between the vegetal, machinic, and virtual. Hales' 12 recent publications (2013-2025) reveal evolving focus from foundational design fiction taxonomies toward digital twinning applications and pataphysical computing. His work consistently engages with objectile theory, anticipation studies, and the philosophical dimensions of virtual architecture, demonstrating interdisciplinary reach across architecture, media studies, and STEM education. Scientific contributions include editorial roles for Digital Creativity and Architecture and Culture , with special issues on design fiction (2013, 2025) and speculative hardware (2016). His research has secured funding from Arts Council England, AHRC, EPSRC, HEIF, ERDF, and UKRI via Innovate UK. As an educator, Hales teaches postgraduate modules including Histories/Theories & Methodologies, Advanced Digital Design Technologies, and Dissertation supervision. Formerly Director of the Professional Doctorate in Built Environment and Master of Architecture programme, he currently convenes the Practice Futures lecture series and leads Professional Studies development within the School.