جستجوی استاد راهنمای دانشگاهی

Diana Pamela Moya Osorioمشاهده پروفایل

دانشیار

• Wireless Communications
• Signal Processing for Wireless Communications
• Physical Layer Security
• +۷ مورد دیگر

Diana Pamela Moya Osorio is Associate Professor at the Communication Systems Division, Department of Electrical Engineering, Linköping University, Sweden, and an ELLIIT recruited faculty. She previously held positions as Senior Research Fellow and Adjunct Professor at the Centre for Wireless Communications, University of Oulu, Finland, and Assistant Professor at the Federal University of São Carlos, Brazil. Education: B.Sc. in Electronics and Telecommunications Engineering, Armed Forces University, Ecuador (2008) M.Sc. in Electrical Engineering (Telecommunications and Telematics), University of Campinas, Brazil (2011) D.Sc. in Electrical Engineering (Telecommunications and Telematics), University of Campinas, Brazil (2015) Her research focuses on wireless communications , particularly signal processing for wireless systems , physical layer security , and integrated sensing and communications (ISAC) . These areas are central to the development of secure and efficient 6G networks. She investigates how wireless signals can be leveraged for both communication and environmental sensing, enhancing network intelligence and security through physical layer techniques. Her recent publications explore advanced topics such as fluid antenna systems , bistatic backscatter communication , beamforming design , and radio-over-fiber propagation . These works reflect a strong trend toward energy-efficient, secure, and high-resolution wireless systems, aligning closely with the goals of next-generation 6G networks. The integration of sensing and communication functionalities is a recurring theme, indicating a forward-looking research agenda focused on dual-use technologies. Scientific Service and Recognition: Associate Editor, IEEE Wireless Communications Letters Associate Editor, IEEE Communications Letters Associate Editor, IEEE Transactions on Information Forensics & Security Working Group Leader, Trustworthy 6G, Cost Action 6G-PHYSEC Diana Moya Osorio actively mentors PhD students and leads significant research initiatives. She is Principal Investigator (PI) for projects including HIGH-SENSE (ELLIIT), ALERT (WASP), and CO-ISAC (Vinnova), and holds leadership roles in 6GTANDEM (HORIZON-JU). Her grants are funded by major national and international agencies, reflecting the high impact and competitiveness of her work. As main supervisor, she advises Henrik Åkesson and Palatip Jopanya; as co-supervisor, she supports Ahmet Kaplan and Dexin Kong. She contributes to academic education by teaching graduate courses such as Information and Communications Engineering , Sensor Array Systems , and a PhD course on Modern Radar Systems . Her lab and research group are embedded within the Communication Systems Division at Linköping University, focusing on next-generation wireless technologies, particularly in the context of 6G and ISAC systems.

Stefan Östersjöمشاهده پروفایل

استاد

• Music Performance
• Artistic Research
• Interdisciplinary Collaboration
• +۷ مورد دیگر

Stefan Östersjö is Professor of Musical Performance and Head of Subject at Luleå University of Technology, Sweden, where he leads GEMM (Gesture, Embodiment and Machines in Music), an interdisciplinary research cluster. He holds a position within the Department of Music, Media and Theatre, part of the Department of Economics, Technology, Arts and Society. Östersjö's academic career spans both research and practical music performance, with significant contributions to artistic research methodology and transcultural musical practices. His research focuses on interdisciplinary collaboration, method development, and knowledge creation through the interaction between musicology, ethnomusicology, music psychology, music education, and computational approaches. Östersjö has been instrumental in developing the role of artistic research in method development, particularly through his work on transcultural musicianship and ecological sound practices. His research interests reveal a commitment to bridging academic inquiry with practical musical exploration. Analysis of his 15 most recent publications shows a consistent focus on artistic research methodologies, transcultural musical practices, sound ecology, and the relationship between gesture and sonic production. His work demonstrates a sophisticated integration of qualitative and quantitative approaches to understanding musical performance, with particular attention to the embodied and ecological dimensions of musical practice. Östersjö's publications span both scholarly journals and creative practice outputs, reflecting his dual commitment to academic rigor and artistic innovation. Östersjö has received significant research funding, including multiple projects from the Swedish Research Council, MAW, AHRC, and as a Research Fellow at the Orpheus Institute in Belgium (2009-2019). His current research continues to explore the intersections of artistic practice, interdisciplinary collaboration, and knowledge production in musical contexts. As a performer, Östersjö is a leading classical guitarist specializing in contemporary music, with over twenty CD releases and extensive international touring. He has collaborated with major composers and artists across disciplines, including choreographers, filmmakers, and visual artists. His performance career includes founding The Six Tones (2006-present), membership in the Landscape Quartet, and former leadership of Ensemble Ars Nova (1995-2012). Östersjö has worked with renowned conductors including Lothar Zagrosek, Peter Eötvös, Mario Venzago and Andrew Manze.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۱۲ مورد دیگر

Slawomir Nowaczyk is a Professor at the School of Information Technology , Halmstad University. His research focuses on Artificial Intelligence , Machine Learning , and Data Mining , particularly for Streaming Big Data and Knowledge Representation with Weakly-Supervised Models . Practical applications: Predictive maintenance, healthcare informatics, smart industry, and energy systems Developing interestingness metrics for distributed data analysis and self-organization in AI systems Publication Trends : Recent work spans Explainable AI , spatiotemporal forecasting , feature selection , and smart city applications. Key areas include healthcare diagnostics , transportation optimization , and industrial fault detection . Academic Leadership : Serves as Research Leader for the School of Information Technology. Supervises six PhD students and co-supervises one additional student across academic and industrial domains.

• Modeling (multivariate methods, reactor modeling, experimental design)
• Catalytic reactors (exhaust gas purification, automotive catalysis)
• Internal combustion engines
• +۶ مورد دیگر

Jonas Sjöblom is an Associate Professor at Chalmers University of Technology, affiliated with the Transport, Energy and Environment division. His research focuses on connecting modeling techniques, catalytic reactor design, internal combustion engines, and emission control to create environmentally friendly vehicles and improve air quality. Modeling: Multivariate methods, reactor modeling, experimental design Emissions: Engine, brake, and tire particulate matter Air Quality: Control instruments and policy implications Projects: Involved in 40 initiatives, including hydrogen propulsion, emission regulations, and virtual calibration systems His recent work includes computational modeling of catalytic systems, characterization of alternative fuel emissions, and applications of machine learning in trip prediction. Collaborations span Chalmers departments, Gothenburg University, and industry partners like AFA Försäkring and Energimyndigheten.

• Digital Transformation
• Information Systems
• Technology Adoption
• +۴ مورد دیگر

Shengnan Han is a Professor in Computer and Systems Sciences (specializing in information systems) at Stockholm University since 2024. She serves as Program Director for the Bachelor program in Marketing & IT, and is a faculty member of Digital Futures . Her academic journey includes Associate Professor (2011-2024) and Assistant Professor (2005-2010) positions at Stockholm University and Åbo Akademi University respectively, where she earned her D.Sc. in information systems (2005). Current Roles: Professor, Stockholm University (2024-) Member of program council for Master program in Health Informatics Faculty member of Digital Futures Academic Service: Associate Editor, Electronic Markets Editorial Board Member, Telematics and Informatics Program Co-Chair, ECIS2023 Board Member, AIS Region 2 (2022-2024) Research Interests span technology adoption impacts through a holistic perspective covering individual behaviors, organizational performance, and societal transformations. Her cross-disciplinary collaborations involve healthcare, data science, law, and human geography. Key projects include Digital Government Collaborative Platform in Sri Lanka, DISRA for elderly care, Digital Nature in rural agriculture, and SEED for secure distance exams. Publication Trends focus on RPA implementation (10+ articles), digital proctoring systems, and rural digital studies. Her work combines technical innovation with ethical considerations like privacy and human values alignment. Teaching Responsibilities include courses on Digital Business within IT, SUPCOM for Health Informatics, and Ph.D. level computer science instruction. She supervises bachelor and master theses while maintaining an active research group in Digital Transformation at DSV.

Anders Lindمشاهده پروفایل

دانشیار

• Music Technology
• Interactive Sound Art
• Telematic Performance
• +۳ مورد دیگر

Anders Lind is an Associate Professor at the Department of Creative Studies (Teacher Education) at Umeå University, Sweden. Specializing in music technology and digital performance, his work explores the intersection of interactive sound art, animated notation systems, and mobile phone orchestras. He actively investigates how digital materiality can transform musical performance ecologies through participatory installations and networked performances. Current research projects include UmArts Art & AI (2023-2028), Super Computer – Interactive Sound Art (2023), and Home Participatory Orchestra (2021). His technical innovations focus on novel performance platforms like the Max Maestro notation system and Voltage Controlled Ensemble systems. Research addresses both educational applications and artistic boundaries, particularly in telematic performance and audience interaction contexts.

Gideon Mbiydzenyuyمشاهده پروفایل

مدرس ارشد

• Data Analysis
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Gideon Mbiydzenyuy is a Senior Lecturer at the University of Borås, affiliated with the Department of Information Technology under the Faculty of Librarianship, Information, Education and IT. He holds a PhD in Computer Science from Blekinge Institute of Technology and has been at the University of Borås since 2015. His research focuses on applied computer science, particularly data analysis within industrial AI. Key areas include detecting anomalies in industrial networks, optimizing data-driven decision-making, clustering algorithms, and leveraging machine learning (supervised/unsupervised), neural networks, and reinforcement learning. Applications span energy networks, traffic systems, logistics, retail, and healthcare. Recent publications emphasize AI-driven solutions for district heating, marketing optimization, and intelligent transport systems. His work bridges theoretical advancements with practical implementations in industry and policy contexts. Publications highlight contributions to anomaly detection, machine learning applications in energy and transport, and policy studies on road taxation. His research often integrates interdisciplinary approaches, addressing real-world challenges through computational methods.