جستجوی استاد راهنمای دانشگاهی

Nikolaj Zimicمشاهده پروفایل

استاد

• Ubiquitous Computing
• Pervasive Computing
• Wireless Sensor Networks
• +۵ مورد دیگر

Nikolaj Zimic serves as a Professor at the University of Ljubljana, leading the Computer Structures and Systems Laboratory while teaching core courses including Introduction to Digital Circuits, Mobile and Wireless Networks, and Wireless Sensors networks. His institutional role spans research leadership and curriculum development in computing disciplines. His research centers on ubiquitous and pervasive computing architectures, with significant contributions to wireless sensor networks, mobile networking protocols, and RFID system design. Recent work extends into biomedical informatics through the ARRS-funded project investigating circadian-time cholesterol synthesis mechanisms, demonstrating interdisciplinary application of computing principles. Prof. Zimic directs the ARRS programme P2-0359 (Ubiquitous computing, 2023-2027) and project J1-50024 (2023-2026), building on prior leadership in the European RFID F2F project (2010-2012) and ARRS computer vision initiatives (2009-2012). His grant portfolio reflects sustained funding from Slovenian and European agencies for applied computing research. As Head of the Computer Structures and Systems Laboratory, he oversees experimental work in digital systems architecture and sensor network implementations, with infrastructure supporting both theoretical research and industry-collaborative development projects.

• Privacy-friendly home-based monitoring
• Unobtrusive sensing solutions
• Activity recognition and classification
• +۸ مورد دیگر

Dr. Idongesit Ekerete (FHEA, IEEE/IPEM member) is a Lecturer in Computing Science at the School of Computing , Ulster University. He serves as Lab Manager for the Pervasive Computing Research Centre and co-investigator in a £3.3M Advanced Research and Engineering Centre project focused on FinCrime. His academic background includes a B.Eng. (First Class) in Electrical/Electronic Engineering from University of Uyo (2011), M.Sc. in Biomedical Engineering from University of Strathclyde (2017), and a PhD in Unobtrusive Sensing from Ulster University (2021). Current role: Lecturer in Computing Science (Ulster University, since 2021) Past role: Lecturer in Electrical/Electronic Engineering (University of Uyo, 2011–2021) Professional: Vice-Chair of IEEE SMC UK-Ireland Chapter His research focuses on privacy-preserving home monitoring systems using unobtrusive sensing , sensor fusion , and AI activity modeling . Recent publications explore thermal sensor applications for mood detection, federated learning for financial crime detection, and gait analysis for elderly wellbeing. Key themes include human-computer interaction , digital twins , and control systems engineering applied to healthcare contexts. Scientific contributions include: Learning and Teaching Award 2024 for student support UNIUYO Best Graduating Student Award Prof. Hilary’s Academic Excellence Award He has authored 20+ research outputs and led collaborations across biomedical engineering, pervasive computing, and financial crime detection domains.

Nadine von Frankenberg und Ludwigsdorffمشاهده پروفایل

پژوهشگر

• Ubiquitous computing
• Smart environments
• Building control systems
• +۴ مورد دیگر

Dr Nadine von Frankenberg und Ludwigsdorff is a Postdoctoral Researcher at the Technical University of Munich (TUM) , affiliated with the Institute for Informatics I1 . She conducts research and teaches in the areas of ubiquitous computing, smart environments, and occupant-centric building control systems. Her office is located in Garching b. München, and she can be reached at nadine.frankenberg@tum.de . Education & Dissertation: In 2022 she defended her doctoral dissertation “Rationale Management for Event-Based Arbitration of Thermal Quality in Shared Spaces” at TUM, laying the groundwork for her subsequent work in human-in-the-loop building controls. Research Interests: Ubiquitous and pervasive computing Smart environments and IoT Building control systems with human-in-the-loop Occupant-centric & personalized indoor environmental quality Digital twins, machine learning, and occupant health Her work unites computer science, HCI, and building technology to create adaptive systems that balance energy efficiency with individual comfort and well-being. Publication Profile: Across 2016-2022 she authored or co-authored more than a dozen peer-reviewed papers in top venues such as BuildSys , CHI , Ubicomp , ICSE , and SIGCSE . A clear trend emerges: early work (2016-2017) focused on visualization and assessment tools for smart buildings, followed by 2018-2020 contributions on sensor-based thermal comfort inference, machine-learning control algorithms, and cloud architectures for multi-device studies. Most recently, her 2021-2022 publications center on conflict resolution and rationale management for shared thermal spaces, culminating in her 2022 dissertation. Scientific Service & Awards: Program Committee member: ICSE 2021-2023, SIGCSE 2017-2023, HICSS-56 2023, CSEE&T 2020-2022, SEUH 2020 Publicity Chair: CSEE&T 2020, SEUH 2020 Publication Co-Chair: BuildSys 2020 Teaching & Student Supervision: She has been a recurring instructor and lab supervisor for Introduction to Software Engineering (EIST) , iPraktikum , and Interactive Learning seminars since 2018. Additionally, she has advised or co-advised more than 25 Bachelor’s, Master’s, and Guided Research theses on topics spanning thermal comfort systems, digital twins, mHealth applications, and IoT network simulation. Labs & Teams: She is a core member of the Research Group for Applied Software Engineering (ASE) at TUM, collaborating closely with Prof. Bernd Brügge’s chair and interdisciplinary partners in architecture, psychology, and health informatics.

Umakishore Ramachandranمشاهده پروفایل

استاد

• Distributed Systems
• Edge Computing
• Sensor Networks
• +۵ مورد دیگر

Umakishore Ramachandran is a Professor in the School of Computer Science at Georgia Institute of Technology's College of Computing, where he directs the Embedded Pervasive Lab. He received his Ph.D. from the University of Wisconsin-Madison in 1986 and has led transformative initiatives including the Online MS in Computer Science (OMSCS) program. His research spans distributed systems, edge computing, and real-time sensor networks, with applications in smart surveillance and connected vehicles. His research interests include architectural design of parallel/distributed systems, large-scale situation awareness using camera networks, cloud-edge continuum optimization, and latency-sensitive applications for geo-distributed infrastructures. Recent work focuses on elevating edge computing to parity with cloud resources. His publications show strong emphasis on edge computing innovations (MicroEdge, FogStore), real-time video analytics (EVA, ClairvoyantEdge), and adaptive mobile systems (Foresight). Trends include multi-tier architectures, quality-of-experience optimization, and scalable processing for IoT workloads. Major Awards: IEEE Fellow (2014) NSF Presidential Young Investigator (1990) ACM/IFIP Middleware Best Paper (2022) 3x College of Computing Dean's Awards He has advised 40+ PhD students, with recent graduates at Google, Microsoft, and academia. Current NSF/CPS grants support his work on geo-distributed latency-sensitive applications. He co-leads the STAR Center and Samsung-funded embedded software programs. His Embedded Pervasive Lab develops systems like Stampede (stream processing) and DFuse (sensor fusion), with testbeds in the Aware Home and transportation networks. Teams collaborate with Intel, Microsoft, and Bosch on edge-AI deployments.

Mike Hazasمشاهده پروفایل

استاد

• Sustainability
• Human-Computer Interaction
• Digitalization
• +۵ مورد دیگر

Mike Hazas is a Professor of Human-Computer Interaction at the Department of Information Technology , Uppsala University . He also holds a position at the Institute for Research on Conflicts of Interest in Sustainable Social Transformation/Uppsala . Research Focus: Sustainability in digital technologies, energy demand analysis, thermal comfort automation, and environmental impacts of internet services. Methodology: Combines qualitative and quantitative approaches to study socio-technical systems. Selected Recent Research Trends: His work addresses the hidden sustainability costs of digital proliferation (streaming, gaming, social networks), energy implications of domestic automation, and thermal comfort policies for net-zero transitions. Publications span journals like IEEE Pervasive Computing , Building Research & Information , and International Journal of Human-Computer Studies , with a strong focus on environmental justice in computing.

Tim Fininمشاهده پروفایل

استاد

• Artificial Intelligence
• Computational Intelligence
• Deep Learning
• +۵ مورد دیگر

Tim Finin is a Professor in the Computer Science and Electrical Engineering Department at the University of Maryland Baltimore County (UMBC). He has over 30 years of experience applying AI to information systems and intelligent interfaces. Education: Massachusetts Institute of Technology (MIT), University of Illinois Finin's research focuses on Artificial Intelligence , Intelligent Agents , Social Media , and the Semantic Web , with applications in Deep Learning , Machine Learning , and Pervasive Computing . He has authored over 270 refereed publications and served as Editor-in-Chief of the Journal of Web Semantics. Finin has held positions at Unisys, the University of Pennsylvania, and the MIT AI Laboratory. He played a key role in developing the KQML agent communication language and contributed to the OWL language for the Semantic Web. He has organized major conferences and held leadership roles at UMBC and within academic organizations like AAAI and the Computing Research Association.

Yanqiu Huangمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• Cyber-Physical Systems
• Embedded Systems
• +۶ مورد دیگر

Yanqiu Huang is an Assistant Professor in Pervasive Systems, focusing on interdisciplinary research in Internet of Things (IoT), cyber-physical systems, embedded systems, wireless communication, and optimization. Their work addresses resource-constrained networks, emphasizing energy efficiency and collaborative algorithms for IoT devices. Research Interests Design of energy-efficient algorithms for IoT networks Integration of wireless communication and control systems Edge AI and sensor technologies for intelligent transport Recent Publications Key contributions include advancements in Bluetooth Low Energy (BLE) discovery, DNN task allocation for edge computing, and cyclist behavior prediction via IMU data. Research spans environmental monitoring, industrial ventilation, and smart mobility solutions like connected bicycles. Scientific Awards Best Poster Award: DNN Task Allocation for Edge-Aided IoT (2023) Best Poster Award: Smart Connected Bikes (2023) Best Presentation Award (2025) Activities Active in organizing and participating in international conferences (PerVehicle 2024/2025), hosting academic visitors (Koojana Kuladinithi, Konrad Fuger), and delivering invited talks on privacy-preserving crowdsensing.

• Autism Spectrum Disorder
• Attention Deficit Hyperactivity Disorder (ADHD)
• Tourette Syndrome
• +۷ مورد دیگر

Dr. Stewart Mostofsky is a Professor of Neurology at Johns Hopkins University School of Medicine and Director of the Center for Neurodevelopmental and Imaging Research (CNIR) at Kennedy Krieger Institute. With a medical degree from the Rensselaer Polytechnic Institute-Albany Medical College six-year program (1990), he completed his pediatric and pediatric neurology training at the University of Minnesota before joining Kennedy Krieger Institute in 1995. Dr. Mostofsky previously served as Medical Director of the Center for Autism and Related Disorders (CARD) at Kennedy Krieger Institute and maintains an active clinical practice focused on children on the autism spectrum. Dr. Mostofsky's research investigates the neurological basis of developmental disorders, particularly Autism Spectrum Disorder, ADHD, and Tourette Syndrome. His work combines structural and functional neuroimaging with experimental neurobehavioral paradigms to examine motor function, sensory processing, and cognitive aspects of these conditions. He has made important contributions to understanding how motor impairments in autism may relate to social and communicative deficits, and how response selection and control impairments contribute to ADHD symptoms. His recent work has identified reduced GABA-based inhibition in the supplementary motor area as associated with Tourette Syndrome severity, and he's developing novel intervention strategies including game-based approaches for autism and movement-based interventions for ADHD. With over 290 research outputs spanning from 1996 to 2025, his work has been widely cited and featured in numerous news outlets. Dr. Mostofsky's research has been supported by grants from the NIH (NINDS and NIMH), the Autism Speaks Foundation, and the Simons Foundation Autism Research Initiative. He is a member of multiple professional organizations including the American Academy of Neurology, the Child Neurology Society, and the Organization for Human Brain Mapping. His Center for Neurodevelopmental and Imaging Research (CNIR) serves as a hub for investigating brain mechanisms underlying developmental disorders, with a focus on translating research findings into practical clinical applications and intervention strategies for children with neurodevelopmental conditions.

Kunle Olukotunمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Programming
• Chip Multiprocessors
• +۴ مورد دیگر

Kunle Olukotun is a Professor of Electrical Engineering and Computer Science at Stanford University's School of Engineering, where he has been faculty since 1991. He directs the Stanford Pervasive Parallelism Lab (PPL) and co-leads the Transactional Coherence and Consistency (TCC) project. His research focuses on computer architecture, parallel programming environments, and scalable parallel systems. Key areas include chip multiprocessors (CMPs), transactional memory systems, domain-specific languages (DSLs) for heterogeneous computing, and hardware-software co-design for machine learning workloads. His work bridges theoretical foundations with practical systems implementation. Notable contributions include the Stanford Hydra research project (one of the first chip multiprocessors with thread-level speculation), founding Afara Websystems (acquired by Sun Microsystems), and developing the Niagara processor architecture. His DSL frameworks like Green-Marl and Spatial enable efficient graph analysis and hardware acceleration. His publications reveal strong trends in parallel systems evolution: from foundational CMP research (2000s) to transactional memory (2004-2010), then DSLs for heterogeneous computing (2010-2015), and currently foundation model systems (2023-2025). Subfield analysis shows consistent focus on hardware-software co-design, sparse computation, and compiler techniques across decades. ACM Fellow (2006) for contributions to multiprocessors on a chip and multi-threaded processor design Best Paper Award at IEEE International Symposium on Workload Characteristics (IISWC '10) for EigenBench Olukotun actively mentors researchers through the Stanford Pervasive Parallelism Lab (PPL), which seeks to proliferate parallelism across application domains. His projects have secured significant industry partnerships, including the acquisition of his startup Afara Websystems by Sun Microsystems. Current research focuses on compiler frameworks for foundation model systems and hardware acceleration for sparse machine learning workloads, supported by collaborations with major tech companies. He leads the Stanford Pervasive Parallelism Lab (PPL), which develops compiler and runtime systems for heterogeneous architectures. The lab's work spans DSLs, hardware acceleration, and parallel programming models, with strong industry ties to companies like NVIDIA and Google. Current initiatives include the Mosaic compiler framework and Stardust architecture for sparse tensor computation.

Christer Åhlundمشاهده پروفایل

استاد

• Network Protocols
• Internet of Things
• Cloud Computing
• +۷ مورد دیگر

Christer Åhlund is a Professor and Head of Subject in Pervasive and Mobile Computing at Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering. He is based in Skellefteå and leads research in distributed computer systems. University: Luleå University of Technology School: Department of Computer Science, Electrical and Space Engineering Department: Computer Science Position: Professor and Head of Subject Professor Åhlund's research interests span network protocols, IoT, cloud-based and distributed data processing, AI/ML, performance analysis, and cybersecurity. For over a decade, his research has focused on digital solutions for societal functions, particularly 'Smart Cities/Regions.' His work integrates theoretical foundations with practical applications to address real-world challenges in urban and regional development. His approach combines technical expertise with an understanding of societal needs, creating solutions that are both innovative and implementable in real-world settings. His research demonstrates a strong trend toward integrating AI/ML techniques with distributed systems to create intelligent, responsive infrastructure. The focus on Quality of Experience (QoE) in heterogeneous networks shows his commitment to user-centered design in technical systems. His recent work on anomaly detection in energy systems and XR applications demonstrates the expanding scope of his research into new application domains. ENiSDA project ESUDA project ACECyberSafe project SSiO project Professor Åhlund has supervised numerous PhD students whose work focuses on smart applications, IoT, machine learning in various contexts, and network resource management. His leadership extends beyond direct supervision to establishing research centers, including 'Security in Society and Critical Infrastructures' at LTU in 2016. He previously served as Scientific Director for LTU's 'Enabling ICT' research and innovation area from 2013-2019 and as department head from 2003-2012. He currently teaches Applied Computer Security, Internet Security, Data Science programming, and Advanced Computer Networks, drawing on his extensive industry experience (12 years in ICT) to bridge theory and practice for students.

• Push notification experiences
• Ubiquitous computing

Mustafa Can Özdemir is a Lecturer at Tallinn University, where he has been teaching since 2022. Concurrently, he is pursuing his doctoral degree in Open Society Technologies at the same institution. His academic background includes a bachelor's degree in electronics and communication engineering from Çankaya University (completed in 2014) and a master's degree in IT Strategic Management from Pompeu Fabra University (completed in 2016). His research explores human-computer interaction domains, with specialized focus areas in: Push notification experiences : Investigating user interactions with digital notifications Ubiquitous computing : Studying pervasive computing environments and seamless technology integration He teaches core courses including Interaction Design Workshop, Master Thesis Seminar, User Experience Evaluation, and Foundations of Human-Computer Interaction.

Benoît MACQمشاهده پروفایل

استاد

• Image Processing
• Video Compression
• Visual Content Security
• +۵ مورد دیگر

Benoît MACQ is a Full Professor at the Catholic University of Louvain (UCLouvain), specializing in image processing and related technologies. Born in Louvain on August 6, 1961, he was elected as a member of the Royal Academy of Belgium on May 29, 2009, recognizing his significant contributions to electrical engineering and applied sciences. Professor Macq's research interests span multiple domains within visual communications technology, with particular expertise in video compression algorithms, visual content security mechanisms, medical imaging applications, and multimodal interaction systems. His work bridges theoretical algorithmic research with practical industrial implementations, demonstrating strong translational capabilities from laboratory to marketplace. His recent presentations reveal a growing focus on the societal implications of technology, particularly in areas of artificial intelligence applications in medicine, the future of internet infrastructure for industry, telemedicine systems for equitable healthcare access, and privacy protection in an era of pervasive surveillance. This demonstrates his commitment to addressing both technical challenges and ethical considerations in modern technology development. Elected member of the Royal Academy of Belgium (2009) Professor Macq actively participates in interdisciplinary discussions about technology's role in society, frequently collaborating with experts from diverse fields including medicine, law, and social sciences to develop comprehensive approaches to complex technological challenges. His work on privacy protection demonstrates particular attention to the multidisciplinary nature of modern technological problems, recognizing that solutions require integration of technical, legal, and social perspectives.

• Semantic Web
• Information Science
• Information retrieval
• +۵ مورد دیگر

Trond Aalberg is a Professor at Oslo Metropolitan University's Faculty of Social Sciences within the Department of Archivistics, Library and Information Science. His research focuses on semantic technologies, metadata standards, and information behavior with strong applications in digital libraries and cultural heritage systems. He maintains an active research profile with significant contributions to bibliographic modeling frameworks like CIDOC CRM and IFLA LRM. His primary research interests include Semantic Web technologies, Information Retrieval systems, Metadata schema design, Ontology development, and Digital Library infrastructure. Current work examines user information needs in cultural heritage contexts, compound object presentation in search interfaces, and the application of pervasive learning games in educational settings. His research bridges theoretical information science with practical implementations in library systems and educational technology. Professor Aalberg leads the Information Systems based on Metadata (METAINFO) research group. His publication trends show consistent contributions to major venues including Cataloging & Classification Quarterly , ACM Transactions on Computing Education , and TPDL conferences. Recent work demonstrates growing interdisciplinary connections between information science, computer science education, and cultural heritage documentation. He actively contributes to professional discourse through conference presentations at events like CoLIS, KORG, and NIKT. His work on peer assessment tools and educational game design reflects strong engagement with computing education challenges. While no formal awards are documented in the provided materials, his sustained publication record across multiple formats (research articles, textbooks, dissemination) indicates significant scholarly impact. Aalberg maintains strong institutional engagement through OsloMet's research infrastructure. His work on metadata standards connects with international initiatives including IFLA's Library Reference Model development. The METAINFO research group serves as his primary academic home, focusing on metadata-driven information systems across cultural heritage and educational contexts.

Julie A. McCannمشاهده پروفایل

استاد

• Spatial Computing
• Internet of Things
• Cyber-Physical Systems
• +۵ مورد دیگر

Julie A. McCann is a Professor of Computer Systems in the Department of Computing at Imperial College London, where she heads the Adaptive Emergent Systems Engineering (AESE) research group. She currently serves as Deputy Director of PeTraS and leads the Logistics 4.0 project. She is also the Imperial PI for the EPSRC Science of Sensing Systems Software (S4) programme grant and leads the Resilient and Robust Infrastructure challenge at the Alan Turing Institute. Previously, she co-directed the Intel Collaborative Research Institute on Sustainable Connected Cities and the NEC Smart Water Lab. Her research explores spatial computing, IoT, and cyber-physical systems, drawing inspiration from non-computing domains (e.g., biology, economics) to design adaptive, low-resource systems. Key applications include infrastructure engineering, agriculture, and space technology, with emphasis on resilience, security, and energy efficiency. Leadership & Grants: Principal Investigator: NRF-funded Singapore Eco Cities initiative Deputy Director: Petras National Centre of Excellence Imperial Lead: EPSRC S4 Programme Grant Former Co-Director: Intel Collaborative Research Institute (Sustainable Connected Cities) Honors: Fellow of the British Computer Society (FBCS) Chartered Engineer (CEng) She teaches Pervasive Computing and has chaired top conferences (e.g., Infocom, Sensys). She also chaired Imperial's Equality and Diversity Committee (2018–2021) and consults for media on computer futures.

Jonathon Fagertمشاهده پروفایل

استادیار

• Structural Vibration Sensing
• Human Gait Health Monitoring
• Indoor Occupant Monitoring
• +۵ مورد دیگر

Dr. Jonathon Fagert serves as Assistant Professor of Engineering at Baldwin Wallace University, leveraging over five years of industry experience as a licensed structural engineer in New York State. His expertise bridges civil engineering, computer science, and medical applications through innovative structural vibration sensing research. His academic credentials include: Ph.D. in Civil and Environmental Engineering from Carnegie Mellon University M.S. in Civil Engineering from Case Western Reserve University B.S. in Civil Engineering from Case Western Reserve University Dr. Fagert's research pioneers the fusion of physical and data-based models for indoor occupant monitoring, with specialized focus on human gait health assessment using structural vibration signatures. His interdisciplinary methodology integrates civil/structural engineering principles with electrical/computer engineering and medical domain knowledge to develop non-invasive health monitoring systems applicable in elder care facilities and clinical settings. Analysis of his 2017-2021 publications reveals consistent advancement in footstep-induced vibration applications, demonstrating technical evolution from basic occupant localization to sophisticated gait symmetry analysis and pedestrian identification. These works establish foundational contributions to structural health monitoring and pervasive computing through cross-disciplinary sensor network implementations. His scientific recognition includes: Best Journal Paper Award from SHM/NDE Technical Committee, ASME (2020) Dr. Fagert maintains active research partnerships with healthcare institutions including Allegheny Health Network, Nationwide Children's Hospital, and Pittsburgh-area elder care facilities (Baptist Homes, Vincentian Homes), translating engineering research into practical healthcare monitoring solutions. His teaching portfolio encompasses statics, mechanics, structural analysis and design, and sensing technologies.