جست‌وجوی استاد و پژوهشگر

Alwin Pouloseمشاهده پروفایل

استادیار

• Localization
• Human Activity Recognition
• Facial Emotion Recognition
• +۵ مورد دیگر

Dr. Alwin Poulose is an Assistant Professor Grade I in Data Science at the School of Data Science, Indian Institute of Science Education and Research (IISER) Thiruvananthapuram, Kerala, India, since January 2023. Previously, he worked as a Researcher at the Center for ICT and Automobile Convergence (CITAC), Kyungpook National University, South Korea (2021-2022), and as a Research Fellow at the University of Michigan, Dearborn, United States (November-December 2022). His educational background includes a B.Sc. in Computer Maintenance and Electronics (2012), M.Sc. in Electronics (2014), M.Tech in Communication Systems (2017), and Ph.D. in Electronics and Electrical Engineering (2021) from Kyungpook National University, South Korea. Dr. Poulose's research spans multiple domains of intelligent systems, with a focus on localization technologies, human activity recognition, facial emotion recognition, and human behavior prediction. His work bridges computer vision, machine learning, and sensor technologies to develop practical applications in healthcare, transportation safety, and animal welfare. He has made significant contributions to indoor positioning systems using Wi-Fi, UWB, and IMU sensors, as well as to emotion recognition systems that have applications in driver monitoring and autonomous vehicles. His extensive publication record demonstrates a progression from fundamental research in localization and activity recognition to increasingly diverse applications across healthcare, agriculture, and social sciences. Recent work shows a trend toward broader interdisciplinary applications of machine learning techniques, including medical diagnostics, agricultural technology, and social data analysis. Technical Program Committee Member for the 12th International Conference on ICT Convergence (2021) and 1st Korea Artificial Intelligence Conference (2020) Session Chair for the 27th Asia-Pacific Conference on Communications (APCC 2022) and 3rd Korea Artificial Intelligence Conference (2022) Guest editor for special issues in Sensors Journal, Frontiers in Signal Processing, and Algorithms Journal Topic editor for Sensors, Sustainability, and Algorithms journals Dr. Poulose leads the Deep Intelligence Learning Lab (DiL Lab) at IISER TVM, where his team works on cutting-edge research in human-centered AI systems. His service activities include extensive reviewing for major IEEE journals including IEEE Access, IEEE Sensors Journal, IEEE Transactions on Circuits and Systems, and multiple MDPI journals since 2018-2022. His collaborative work extends across international institutions in South Korea, United States, and India, demonstrating a strong network in the academic community.

• Localization and Tracking
• Sensor Networks
• Vehicular Networks
• +۵ مورد دیگر

Pınar Oğuz Ekim is an Associate Professor in the Department of Electrical and Electronics Engineering at Izmir University of Economics, Turkey. Her academic career spans research and teaching roles at Gebze Technical University (2014-2015) and Nanyang Technological University, Singapore (2015-2016), with current leadership in sensor network research and intelligent transport systems development. Her educational qualifications include: Bachelor of Telecommunication and Computer Engineering, Middle East Technical University (METU), 2003 Master of Circuit and Systems, Department of Electrical and Electronics Engineering, METU, 2006 PhD in Electrical and Computer Engineering, ISR-IST, Lisbon, 2013 (with Distinction) Dr. Ekim specializes in theoretical and applied aspects of localization algorithms, sensor fusion, and optimization theory. Her research bridges nonlinear signal processing with real-world navigation systems, focusing on vehicular networks and robotics. Key contributions include distributed tracking frameworks and embedded optimization techniques for energy management, demonstrating exceptional interdisciplinary integration across electrical engineering domains. Her publication record (2020-2023) reveals strong thematic evolution from core localization algorithms toward applied energy systems and assistive technologies. This trajectory highlights her ability to translate theoretical signal processing concepts into solutions for residential energy optimization, municipal waste forecasting, and accessibility tools, while maintaining foundational work in robotic navigation through UWB/LiDAR fusion. Scientific recognition includes: 2012 IBM Scientific Award (Portugal's most prestigious national research honor)

• Autonomous vehicles
• Drones
• Embedded systems
• +۱۲ مورد دیگر

Marcello Chiaberge is an Associate Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. He serves as Coordinator of the Interdepartmental Center for Service Robotics (PIC4SeR) and oversees quality management for the Master's Degree in Mechatronic Engineering. With over 110 publications and 9 international patents, his work bridges academic research and industrial applications in robotics and electronics. Research Interests span a wide array of fields including Autonomous vehicles Drones Embedded systems Precision agriculture Search and rescue robotics Simultaneous localization and mapping (SLAM) Smart cities infrastructure His projects often integrate machine learning with hardware acceleration, focusing on real-time solutions for robotics applications. Recent Publications highlight his contributions to: Deep reinforcement learning for robot navigation Hybrid MPPT algorithms for solar energy optimization UAV-based remote sensing in agriculture Transformer architectures for action recognition Hardware-accelerated computer vision systems Research Leadership is evident in his coordination of PIC4SeR and principal investigator roles in projects like: HERITALISE (2025-2028) - Cultural heritage digitization EMPATHY (2024-2026) - Empathetic mobility platforms NG-UWB (2019-2023) - Next-generation localization systems MArcEL (2019-2022) - Electric agricultural machinery His teaching includes courses on electronic fundamentals and mechatronic systems, all delivered in English at the Master's level. He has served as doctoral consortium member since 2002 and currently supervises multiple PhD candidates in electronics and mechatronics fields.

Chris Harrisonمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Wearable Computing
• Augmented/Virtual Reality
• +۴ مورد دیگر

Chris Harrison is an Associate Professor of Human-Computer Interaction at Carnegie Mellon University , where he directs the Future Interfaces Group . His research focuses on creating novel sensing and interface technologies to enable new modes of human-computer interaction in domains like smart environments , wearable computing , and augmented/virtual reality . Research Interests include: Haptic Feedback Systems Wearable and Ubiquitous Computing Novel Input Modalities Sensor Fusion Techniques Privacy-Preserving Interaction XR (AR/VR) Interface Design Recent Research Trends show strong emphasis on: Mid-air and wearable haptics using synthetic jets (2024) Infrastructure-free tracking in multi-user AR/VR (2023-2025) Electroosmotic pump-based shape-changing interfaces (2023-2024) IMU and UWB sensor fusion for pose estimation (2020-2023) Privacy-respecting sensing techniques (2018-2021) Contact: chris.harrison@cs.cmu.edu | Future Interfaces Group Website

• Semiconductor Devices
• Nanotechnology
• Computational Electronics
• +۵ مورد دیگر

Umberto Ravaioli is a Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, holding positions in the Coordinated Science Lab and Micro and Nanotechnology Lab. He serves as Director of Academic Programs for the ZJU-Illinois Joint Institute, part of the Grainger College of Engineering. His research focuses on semiconductor devices, nanotechnology, computational electronics, and thermal/phonon transport phenomena. Ravaioli is an IEEE Fellow (2003) and has contributed to over 210 peer-reviewed publications, including works on Monte Carlo simulations, machine learning applications in imaging, and nanostructured materials. His research integrates computational modeling with experimental studies to advance electronics and energy-efficient technologies. Research Interests: Monte Carlo simulation of semiconductor transport Thermal and phonon dissipation in nanoscale devices Machine learning for biomedical and materials science applications Quantum and nanoelectronics device design Computational modeling of 2D materials and nanowires Recent Research Trends: Recent articles emphasize interdisciplinary approaches, combining machine learning with imaging (e.g., MR fingerprinting) and advancing thermal management in semiconductor devices. His work bridges computational methods with experimental validation in nanomaterials and energy-efficient electronics. Awards: IEEE Fellow (2003) Labs & Teams: Leads the Micro and Nanotechnology Lab’s academic programs, fostering collaboration in nanotechnology and computational engineering. Engaged with the ZJU-Illinois Joint Institute for interdisciplinary research.

William Robert Norrisمشاهده پروفایل

استاد پژوهشی

• Robotics
• Control Systems
• Machine Learning
• +۳ مورد دیگر

William Robert Norris is a Research Professor and Clinical Associate Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign (UIUC). He is the Founding Director of the Center for Autonomous Construction and Manufacturing at Scale (CACMS) and an affiliate in multiple departments, including Mechanical Science and Engineering, Electrical and Computer Engineering, and the Coordinated Science Lab. His expertise spans robotics, control systems, and autonomous systems, with a focus on machine learning, decision analysis, and adaptive systems. Education: Norris holds a Doctor of Philosophy (2001), Master of Business Administration (2007), and two Master of Science degrees (1997, 1996), all from UIUC, with concentrations in Control Theory, Robotics, and Systems Engineering. Research Interests: His work emphasizes optimal machine design, decision analysis, machine learning (including deep learning and reinforcement learning), adaptive systems, and control theory. He has pioneered advancements in autonomous vehicle navigation, sensor fusion, and robotics applications in construction and agriculture. Professional Highlights: Norris led the development of the first large-scale autonomous vehicle from concept to deployment. His contributions include innovations in Kalman filtering, fuzzy logic control, and autonomous system architectures. He has authored over 100 publications, including peer-reviewed journal articles and conference proceedings. Awards: Dean's Award for Early Innovation (2024), Robert A. Jewett Endowment (2020), William A. Chittenden Award (1998). Labs/Teams: My Lab, Center for Autonomy, Coordinated Science Lab (CSL), Discovery Partners Institute (DPI). Grants/Consulting: Active collaborations with the US Army Corps of Engineers, Deere & Company, and startups like Robust Smart Control Solutions LLC.

Kailai Liمشاهده پروفایل

استادیار

• Robotic Perception
• Sensor Fusion
• State Estimation
• +۲ مورد دیگر

Kailai Li is a tenure-track Assistant Professor at the University of Groningen's Bernoulli Institute, where he leads the Agile Sensing and Intelligence Group (ASIG). His research develops novel methods for robotic perception, including continuous-time state estimation, sensor fusion, and visual navigation. Recent publications focus on Gaussian process representations for motion estimation and multi-robot collaboration using vision-language models. Dr. Li's lab maintains open-source projects like LiLi-OM (LiDAR-inertial odometry) and SFUISE (UWB-inertial fusion). Collaborations include Linköping University and industry partners. Current projects investigate trustworthy perception for autonomous systems under uncertainty and efficient representations for high-dimensional state estimation.

Ashutosh Dhekneمشاهده پروفایل

استادیار

• Wireless Networking
• Mobile Computing
• IoT
• +۶ مورد دیگر

Ashutosh Dhekne is an Assistant Professor at the Georgia Institute of Technology's School of Computer Science, specializing in wireless networking, mobile computing, IoT, and embedded systems. His research focuses on UWB localization, sustainability, and Tiny Data, with applications in robotics, security, and human-computer interaction. Education: PhD in Computer Science (UIUC, 2019), MTech (IIT Bombay, 2009), and BTech (Pune University, 2006). Professional experience includes roles at Intel and Securifi, and internships at NEC, Intel Labs, and Zendrive. Research highlights include NSF CAREER Award-winning work on UWB localization, Tiny Data initiatives, and sustainability projects. He has published over 50 papers in venues like MobiSys, IPIN, and IEEE Journals. Teaching includes the popular CS8803 course on Mobile Computing and IoT. Advised students have contributed to projects like IntruSense, PetTrack, and UWB-Auth authentication systems. Awards include NSF CAREER, Best Paper Awards, and teaching recognitions. Engages in broader impacts through art exhibits (TechMyMoves) and community projects like Internet-in-a-Box.

Gerd von Cöllnمشاهده پروفایل

استاد

• Energy-Efficient Systems
• Embedded Systems
• Cyber-Physical Systems
• +۵ مورد دیگر

Prof. Gerd von Cölln is a Professor of Computer Architecture at the School of Technology, Electrical Engineering and Computer Science, University of Applied Sciences Emden/Leer. His primary focus is on energy-efficient and autonomous systems, particularly in embedded and cyber-physical systems. He leads research in energy-autonomous sensors, low-power electronics, and IoT applications. Education details are not explicitly provided in the text, but his academic role suggests advanced qualifications in electrical engineering or computer science. His research projects include Sichere Offshore-Operationen (SOOP), Energieautarke Sensorsysteme (ID3AS), and LoRaWAN-based sensors (ELVIS), demonstrating expertise in industrial automation, sensor networks, and energy harvesting. Publications emphasize sensor design, wireless communication protocols, and optimization algorithms for complex environments. While no awards are listed, his extensive project portfolio highlights contributions to applied engineering research. Advising details are unavailable, but his role implies supervision of technical projects involving students and industry partners. Prof. von Cölln collaborates on labs and teams focused on maritime automation, industrial IoT, and embedded systems, with projects addressing challenges like harsh environmental conditions and energy sustainability.

Jocelyn FIORINAمشاهده پروفایل

استاد

• Wireless Communication
• Ultra-Wideband Systems
• Signal Processing
• +۳ مورد دیگر

Jocelyn FIORINA is a Full Professor and ViceDean of International Affairs at CentraleSupélec. She is affiliated with the Laboratoire des signaux et systèmes (L2S), where she leads research in telecommunications and signal processing. Her academic titles include HDR (Habilitation to Direct Research) and Engineer qualifications. Her research focuses on wireless communication systems, ultra-wideband (UWB) technologies, and advanced signal processing techniques. Key areas include indoor localization, federated learning for communication constraints, time reversal methods in UWB networks, and multi-armed bandits for network optimization. She has authored over 20 peer-reviewed articles and two books, including Cognitive Radio and Networking for Heterogeneous Wireless Networks (Springer, 2015). Recent work emphasizes federated learning strategies under communication limits (2024), adaptive K-nearest neighbor positioning (2022), and UWB beamforming (2013). Her contributions span theoretical analysis, algorithm design, and practical implementations in ad-hoc networks and sensor systems. As ViceDean, she oversees international collaborations and academic partnerships. Her lab, L2S, is part of Paris-Saclay University’s research ecosystem, focusing on energy, industry 4.0, and healthcare applications. She actively participates in workshops and conferences, including IEEE Vehicular Technology Conferences and the International Conference on Ultra-Wideband (ICUWB).

Cameron Nowzariمشاهده پروفایل

دانشیار

• Robotics
• Dynamics and Controls
• Multi-robot Systems
• +۷ مورد دیگر

Cameron Nowzari is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University. He earned his B.S. in Mechanical Engineering from the University of California, Santa Barbara (2009), and his Ph.D. in Engineering Sciences from the University of California, San Diego (2013). His research focuses on dynamics, controls, and robotics, with an emphasis on distributed and networked systems, including swarm robotics and epidemic control. Notable achievements include the 2021 ONR YIP Award and multiple best paper awards. His work spans applications in robotics, public health, and cyber-physical systems. Education: PhD, Engineering Sciences, University of California, San Diego (2013) MS, Engineering Sciences, University of California, Santa Barbara (2010) BS, Mechanical Engineering, University of California, Santa Barbara (2009) Research Interests: Multi-robot systems and swarm robotics Analysis/control of networked spreading processes Energy-efficient distributed algorithms Applications in epidemiology, IoT security, and autonomous systems His recent work includes developing swarm robotics for competitions like Defend the Republic, advancing event-triggered control strategies, and modeling epidemic processes. He has advised over a dozen students and holds editorial roles in journals like Nonlinear Analysis: Hybrid Systems . Awards highlight contributions to distributed control and robotics: 2021 ONR YIP Award 2019 ICDM Best Paper Award 2018 IEEE Control Systems Magazine Best Paper Award Teaching includes courses on nonlinear systems, modern control, and network control, reflecting his expertise in both theory and application.

Horst Posseggerمشاهده پروفایل

پژوهشگر

• Computer Vision
• Autonomous Systems
• Multiple Object Tracking
• +۳ مورد دیگر

Horst Possegger is a Computer Vision researcher at the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. He holds a BSc and MSc in Software Development and Business Management (2011, 2013) and a PhD in Computer Science (2018), all from Graz University of Technology. His research focuses on multiple object tracking/detection, human behavior analysis, and video analysis with applications in autonomous systems, LiDAR data processing, and robotics. Key projects include trajectory prediction, 3D object detection, and domain adaptation techniques for real-world scenarios. Recent work emphasizes cross-modal learning (e.g., vision-language models for LiDAR data), robust localization in challenging environments, and lightweight motion prediction models. He contributes to the Learning, Recognition & Surveillance (LRS) group and has published extensively in top-tier venues like IEEE/CVF CVPR and IROS. Publications span autonomous driving benchmarks, UWB-based localization, and warehouse automation. His work often bridges theoretical advancements with practical implementations in robotics and surveillance systems.

Xinrong Liمشاهده پروفایل

استاد

• Wireless Communications
• Sensor Networks
• Signal Processing
• +۷ مورد دیگر

Xinrong Li is a Professor in the Department of Electrical Engineering at the University of North Texas. He serves as the Associate Department Chair and holds an office in Discovery Park B231. His research focuses on wireless communications, sensor networks, signal processing, and IoT applications with emphasis on indoor geolocation, environmental monitoring, and smart systems development. He has contributed to advancements in Bluetooth mesh networking, thermal imaging-based occupancy detection, and additive manufacturing for aerospace components. His work integrates machine learning with sensor systems for real-time data analysis. Dr. Li has extensive experience in wireless sensor network design, including low-cost environmental monitoring systems and Raspberry Pi/Arduino-based implementations. He has explored energy-efficient protocols, time synchronization algorithms, and anti-collision RFID systems. His research also spans bioenergy systems, particularly gas production modeling during biomass pyrolysis using Gaussian functions. Key contributions include pioneering methods in indoor geolocation via UWB and RSS measurements, super-resolution TOA estimation, and cooperative localization algorithms. He has published over 60 articles since 2000, focusing on topics like MIMO systems, secrecy diversity in wireless channels, and compressive sampling for sensor networks. His work bridges theoretical foundations with practical applications in smart cities, agriculture automation, and environmental sustainability. Dr. Li has led projects in distributed energy management for microgrids and developed novel decoding methods for space-time coded MIMO systems. His educational contributions include curriculum design for project-oriented electrical engineering programs emphasizing lifelong learning. He maintains active collaborations in international research networks and serves on editorial boards for smart networking journals.

Frances Clearyمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Healthcare Innovation
• Smart Transport Systems
• +۷ مورد دیگر

Dr. Frances Cleary is the Head of Research Division (MEPS) at the Walton Institute, SETU, Ireland. She leads the Mobile Ecosystem and Pervasive Sensing (MEPS) division focusing on healthcare e-textiles, AI, 5G/6G, smart transport, and VR/AR. She has over 20 years of experience in roles spanning test engineering, business development, and technical leadership. Education: PhD in Royal College of Surgeons in Ireland (RCSI) Bachelor of Technology in Electronic Engineering from Waterford Institute of Technology Research Interests: Frances' work spans healthcare innovation, cybersecurity, smart transport systems, and emerging technologies like e-textiles and neuromorphic computing. Her division combines AI, NLP, and pervasive sensing to address challenges in healthcare and urban mobility. Recent Articles: Her 2024 publications include reviews on XR interventions for autism and epileptic seizure detection devices. In 2023, she explored AI-driven e-textiles and soft exosuits. Earlier works focus on 5G networks, cybersecurity frameworks, and smart transport systems. Grants & Funding: She has secured EU and national-level funding for cluster projects and digital innovation initiatives. Her team collaborates with industry partners to drive knowledge transfer. Labs & Activities: Frances organizes events like the Digital Education Conference 2024 and participates in conferences like ICIC24. She mentors researchers in her division and oversees lab management for experimental facilities and prototyping.

Jan Brummمشاهده پروفایل

پژوهشگر

• Wireless Communication
• Biomedical Engineering
• Medical Technology
• +۳ مورد دیگر

Jan Brumm is a Researcher and Lab Manager at the Institute of Communications, TU Hamburg. He holds a Dr.-Ing. (Engineering Doctorate) and focuses on advancing ultra-wideband (UWB) in-body communication systems. His work addresses technical challenges in medical communication, including channel modeling, signal propagation, and antenna design for biomedical applications. Research interests span wireless communication in medical environments, with a focus on optimizing channel capacity, reducing signal interference, and enhancing data transmission reliability in physiological contexts. His studies integrate stochastic modeling, simulation techniques, and physiological property analysis to improve UWB system performance. Key contributions include optimizing receiver placement for in-body capsules, analyzing shadowing effects on signal propagation, and developing space diversity methods to mitigate noise. His publications (2016–2024) reflect a progression from foundational channel modeling to applied solutions in medical devices and wearable technology. Brumm’s research is lab-based at TU Hamburg’s Institute of Communications, with no currently listed grants or advisees. No scientific awards are documented in the provided materials.