Indoor Localization & Tracking Professors and Supervisors

Rickard KarlssonView profile

Lecturer

Linköping UniversitySweden

Dr. Rickard Karlsson works as a Lecturer at Linköping University's Department for Swedish as a Second Language, Rhetoric and Language Support (SAROS) under the Department of Culture and Society (IKOS). His teaching focuses on Swedish language didactics, grammar, and assessment of learner languages, with supervision across academic levels. PhD in Languages and Cultures of Europe Upper Secondary School Teacher in Swedish as a Second Language Research spans empirical analysis of adult language acquisition , historical linguistics , and multilingualism ideologies . Google Scholar publications reveal interdisciplinary contributions to particle filter algorithms and automotive sensor systems from 2001-2025. Notable collaborations include Fredrik Gustafsson and Per-Johan Nordlund. Recent publications (2025-2016) merge automotive engineering and historical Linguistics, covering tire diagnostics, cultural exchange patterns, and vibration-based navigation. This dual expertise reflects his transition from technical research to language education, maintaining academic connections across disciplines.

Official University Profile

Estefanía Talavera MartínezView profile

Assistant Professor

University of TwenteNetherlands

Estefanía Talavera Martínez is an Assistant Professor specializing in Datamanagement & Biometrics , with research spanning artificial intelligence, computer vision, and health informatics. Her work addresses surveillance, emotion recognition, and egocentric data analysis.

Official University Profile

Klaus KefferpützView profile

Professor

Ingolstadt University of TechnologyGermany

Prof. Dr.-Ing. Klaus Kefferpütz serves as Professor at Ingolstadt University of Applied Sciences (THI) since 2022 within Faculty E, specializing in autonomous cooperative systems. He maintains dual research affiliations with the Fraunhofer Application Center 'Connected Mobility and Infrastructure' and AImotion Bavaria AI Mobility Hub Ingolstadt. His research focuses on coordination algorithms for autonomous systems and distributed sensor data fusion , with significant contributions to UAV navigation, swarm robotics, and constrained control systems. Recent work integrates nonlinear control theory with practical mobility applications, emphasizing real-world implementation challenges. Publications from 2020-2022 reveal consistent output in robotics and control engineering venues, demonstrating expertise in solving practical constraints like input saturation and windup phenomena. His patent portfolio indicates translational research impact. Through AImotion Bavaria and Fraunhofer partnerships, Prof. Kefferpütz accesses substantial industry-connected research funding, facilitating student involvement in applied mobility projects. His background bridges academic theory (TU Darmstadt PhD) and industry practice (MBDA flight control engineering). As a core member of THI's AImotion AI Node, he contributes to Bavaria's strategic mobility research initiative, focusing on AI applications for intelligent transportation systems and cooperative vehicle infrastructure.

Official University Profile

María Soledad Escudero HernanzView profile

Professor

University of AlcaláSpain

María Soledad Escudero Hernanz is a Full Professor in the Electronics Department at the University of Alcalá's School of Engineering. With extensive experience in both teaching and research, she has been actively contributing to the university community since at least 2005. Her research focuses on several cutting-edge areas within robotics and electronics, with particular emphasis on service robotics and transportation safety applications. Professor Escudero Hernanz is an active member of the 'Robótica de Servicios y Tecnologías para la Seguridad Vial - Service Robotics and e-Safety' research group, where she contributes to multiple research lines including autonomous driving systems, intelligent control for robotics, driver monitoring technologies, and mobile robot navigation. Her scholarly output shows a consistent pattern of research focused on practical applications of robotics and computer vision technologies. The analysis of her publications reveals a strong emphasis on transportation safety systems, with numerous projects related to driver monitoring, distraction detection, and advanced driver assistance systems. She has also made significant contributions to assistive robotics and multi-robot navigation systems. Professor Escudero Hernanz has been involved in numerous research projects funded by various entities including: Spanish Ministry of Economic Affairs and Digital Transformation Community of Madrid University of Alcalá Spanish Foundation for Science and Technology (FECYT) Her work demonstrates a strong commitment to both fundamental research and practical applications, particularly in the areas of transportation safety and assistive technologies. As an educator, she teaches Circuit Electronics and Digital Electronics across multiple engineering programs, contributing to the development of future engineers in various specializations. Her collaborative approach is evident through her long-standing research partnerships with colleagues at the University of Alcalá, particularly with Rafael Barea Navarro, María Elena López Guillén, and Luis Miguel Bergasa Pascual, with whom she has worked on multiple projects spanning more than a decade.

Official University Profile

Félicie ThéronView profile

Associate Professor

Nantes UniversityFrance

Félicie Théron is an active Associate Professor at IMT Atlantique's Department of Energy Systems and Environment, where she has been conducting research since 2011. She is affiliated with the GEPEA research unit, specifically within the Ecotechnologies research area, and is part of Jack Legrand's research laboratory. Her academic journey began with Chemical Engineering studies at INP Lorraine, followed by a doctorate in Process Engineering from INP Toulouse completed in 2009. Professor Théron's research focuses on the complex interactions between airflow dynamics and particulate matter in ventilation systems. Her work bridges environmental engineering and fluid mechanics with practical applications for improving air filtration technologies and indoor air quality. She specializes in studying particle resuspension from duct walls during transient airflow conditions, particularly during fan acceleration phases that represent real-world system startups. Her research methodology combines sophisticated experimental techniques with computational modeling. She employs hot-wire anemometry for precise flow measurements, develops advanced image analysis protocols for tracking particle behavior, and utilizes computational fluid dynamics to simulate complex airflow patterns. Her publications reveal a consistent research trajectory with increasing sophistication in both experimental design and theoretical modeling. Professor Théron has developed innovative approaches for characterizing fibrous media properties, including permeability prediction models that account for bimodal fiber distributions and the Klinkenberg effect. Her recent work extends into smart filtration technologies, with research on electrospun sensory membranes for real-time detection of HVAC filter clogging. This progression demonstrates her ability to translate fundamental research into practical engineering applications that address energy efficiency concerns in building systems. Her publication record shows consistent productivity with 31 documented publications spanning from 2009 to 2025. The research topics evolve from fundamental fluid dynamics and process engineering toward increasingly specialized applications in environmental engineering and air quality control. Her work maintains strong connections to both theoretical modeling and practical implementation, with particular attention to transient phenomena that are often overlooked in traditional HVAC system design. Professor Théron collaborates extensively with researchers across multiple French institutions, particularly within the GEPEA research unit. Her work demonstrates the integration of multiple disciplines including fluid mechanics, materials science, environmental engineering, and sensor technology to address complex problems in air quality management and energy-efficient ventilation systems.

Official University Profile

Kuai XuView profile

Professor

Arizona State UniversityUnited States

Dr. Kuai Xu serves as a Professor of Computer Science at Arizona State University's School of Mathematical and Natural Sciences within the New College of Interdisciplinary Arts and Sciences. He maintains affiliations with the Center for Cybersecurity and Trusted Foundations, focusing on securing critical network infrastructures. His academic credentials include: Ph.D. in Computer Science, University of Minnesota (2006) M.S. in Computer Science, Peking University, China (2001) B.S. in Computer Science, Peking University, China (1998) Dr. Xu's research centers on network security , network measurement , and IoT systems , with significant contributions to smart home security, network behavior analysis, and social media epidemiology. His work bridges theoretical modeling and practical implementations for real-world network challenges. Recent publications (2022-2025) reveal a concentrated focus on IoT security frameworks, machine learning-driven activity inference from device traffic, and pandemic surveillance through social media analysis. Key themes include DNS security hardening, attack graph modeling, and privacy-preserving spatial analytics in smart environments. Through courses like ACO 331 (Network Forensics Analysis) and ACO 361 (Secure Coding Concepts), Dr. Xu mentors students in cybersecurity fundamentals while supervising research via ACO 399 and individualized instruction (ACO 499). His teaching integrates cutting-edge research into classroom applications. As an active affiliate of ASU's Center for Cybersecurity and Trusted Foundations, Dr. Xu contributes to interdisciplinary initiatives addressing emerging threats in home networks, IoT ecosystems, and social media platforms.

Official University Profile

Adriano Jorge Cardoso MoreiraView profile

Associate Professor

Fernando Pessoa UniversityPortugal

Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho, Portugal. He holds multiple leadership roles including Scientific Coordinator of Urban Computing at Centro de Computação Gráfica and Director of the MAP-tele PhD Program. His research is conducted primarily through the Urban Computing Lab , focusing on smart place technologies. Education: PhD in Electrical Engineering (1997) and Bachelor's in Electronic and Telecommunications Engineering (1989), both from University of Aveiro, Portugal. Research Focus: His work spans indoor positioning, mobile/context-aware systems, urban computing, and wireless network simulation. Key innovations include fingerprinting algorithms for localization, multi-sensor fusion techniques, and human mobility analysis. Research outputs consistently address real-world industrial challenges such as warehouse management, factory automation, and urban infrastructure. Research Output Trends: Recent publications (2021-2023) emphasize practical applications of Wi-Fi/LoRaWAN fingerprinting, machine learning for sensor calibration, and industrial vehicle tracking. Over 70% of recent works involve experimental validation in real environments, reflecting a strong applied research focus. Key thematic clusters include radio map optimization, multi-sensor datasets, and scalability of positioning systems. Awards & Recognition: First Prize, EvAAL-ETRI Indoor Localization Competition (Off-site track, 2015 & 2017) Second Prize, EvAAL-ETRI Indoor Localization Competition (2016) IEEE Senior Member status Patent in computational geometry Projects & Funding: He leads/participates in numerous EU/national projects including: ORIENTATE (2021-2023): Low-cost indoor positioning for factories Lab4U&Spaces (2021-2023): Urban space solutions AR WARE (2018-2022): AR for warehouse management SAMU (2015-2018): Smart autonomous mobile units Lab & Team: He established/leads the Urban Computing Lab developing technologies for smart environments. Previously headed the Computer Communications and Pervasive Media Group (until 2016). Current team includes PhD/Master students working on wireless positioning and mobility analysis.

Official University Profile

Lili QiuView profile

Professor

Menlo CollegeUnited States

Lili Qiu is a Professor in the Department of Computer Science at the University of Texas at Austin and Vice Managing Director of Microsoft Research Asia (Shanghai). She previously worked at Microsoft Research Redmond (2001-2004). Her research spans wireless networks, mobile systems, and network protocols, with recent work in acoustic sensing and AI-driven networking solutions. Research Focus Qiu's research addresses fundamental challenges in: Wireless network performance and interference management Mobile system optimization for real-world environments Acoustic-based localization and tracking technologies Deep learning applications for network reliability Next-generation cellular architectures (5G and beyond) Publication Trends Her recent publications (2020-2023) demonstrate a shift toward multimodal sensing systems combining acoustics and computer vision, edge intelligence optimization, and robust mobility management for next-generation networks. This reflects industry-academia convergence through her dual appointments. Awards and Honors IEEE Fellow (2017) ACM Fellow (2018) National Academy of Inventors Fellow (2022) N2Women: Stars in Networking (2017) ACM Distinguished Scientist (2013) NSF CAREER Award (2006) Best Paper Awards: ACM MobiSys 2018, IEEE ICNP 2017 Leadership and Affiliations She bridges academic research and industrial innovation through her joint appointment at UT Austin and Microsoft Research Asia, where she oversees strategic research directions in computing systems.

Official University Profile

Shin-ichi TanabeView profile

Professor

Waseda UniversityJapan

Shin-ichi Tanabe is a Professor at the Department of Architecture, Faculty of Science and Engineering, Waseda University, Japan. He currently serves as Dean of the Advanced Collaborative Research Organization for Smart Society (ACROSS) since December 2022. Dr. Tanabe is also President of the Architectural Institute of Japan (AIJ) and Chair of ISO/TC146/SC6 (Indoor Air). He previously served as President of the Society of Heating and Air-conditioning and Sanitary Engineers (SHASE), Japan. Dr. Tanabe earned his Doctor and Master of Engineering degrees from Waseda University. His research spans several decades with significant contributions to indoor environmental quality. He has held visiting positions at Technical University of Denmark (1984-1986), University of California, Berkeley (1992-1993), and Lawrence National Laboratory (LBNL) (1997). His research focuses on indoor air quality, thermal comfort, energy efficiency, and architectural environment. He has pioneered work in carbon neutrality, net zero energy buildings, and the relationship between building design and occupant health and productivity. His recent work addresses ventilation for infection control, particularly during the COVID-19 pandemic, and the development of standards for healthy indoor environments. Dr. Tanabe's publications reveal a strong focus on practical applications of building science to improve human comfort and health. His work spans indoor air quality measurement and improvement, thermal comfort in various building types, energy efficiency in buildings, and the impact of building design on occupant productivity and well-being. Recent research emphasizes net zero energy buildings, infection control through ventilation, and biophilic design elements. Fellow Member, American Society of Heating and Air-Conditioning Engineers (ASHRAE) Ralph G. Nevins Award from ASHRE (1989) Technical Award from Society of Heating, Air Conditioning, and Sanitary Engineers, Japan Prize of Research from Architectural Institute of Japan (2002) Pettenkofer award from ISIAQ Academy (2016) Minister of Economy, Trade and Industry Award for Energy Conservation (2024) Dr. Tanabe has supervised numerous students and research projects focused on building environmental engineering. His work has influenced building codes and standards internationally, particularly through his leadership in ISO committees. He leads research teams investigating advanced ventilation systems, thermal comfort modeling, and the relationship between building design and human performance. Current projects focus on smart building technologies, pandemic-responsive building design, and zero-energy building solutions that maintain high indoor environmental quality.

Official University Profile