جست‌وجوی استاد و پژوهشگر

Alex Mouapiمشاهده پروفایل

مدرس

• Energy Harvesting
• Wireless Sensor Networks
• RF Circuit Design
• +۳ مورد دیگر

Dr. Alex Mouapi is a Lecturer in the Department of Electrical Engineering at Polytechnique Montréal, specializing in energy harvesting systems for wireless communications and IoT. His research bridges theoretical frameworks with industrial applications, particularly in autonomous sensor networks. Education Ph.D. in Engineering, Université du Québec à Chicoutimi (UQAC)/Université du Québec en Abitibi-Témiscamingue (UQAT) M.Sc. in Engineering, Université du Québec en Abitibi-Témiscamingue (UQAT) Master in Physics (Electronics), University of Dschang, Cameroon B.Sc. in Physics, University of Dschang, Cameroon Diploma in Technical Education (Electrotechnics), University of Douala, Cameroon Research Focus Dr. Mouapi's research centers on sustainable energy solutions for wireless devices. Key areas include: Energy Harvesting Systems: RF and piezoelectric microgenerators for self-powered sensors Circuit Design: Optimization of voltage doublers, rectifiers, and power management circuits Industrial IoT: Applications in mining, manufacturing, and infrastructure monitoring Predictive Algorithms: Energy forecasting and allocation for network efficiency Publication Trends His 33 publications demonstrate consistent focus on energy autonomy for industrial sensors. Recent works (2020-2022) emphasize RF harvesting circuit optimization and IoT integration, with theoretical contributions in efficiency modeling and practical validations through industrial case studies. Laboratory & Collaborations While no dedicated lab is specified, his research involves simulations and prototyping for energy systems. Collaborations include industrial partners in mining and manufacturing sectors.

• Cyber Security
• Wireless Sensor Networks
• Internet-of-Things
• +۵ مورد دیگر

Professor Hadi Larijani serves as a full Professor in Cyber Security and Networks within the School of Computing, Engineering and Built Environment at Glasgow Caledonian University. His research portfolio spans secure wireless communications, Internet-of-Things security, and neural network applications in networking systems, contributing significantly to UN Sustainable Development Goals through technological innovation. His primary research interests include: Wireless Sensor Network Security Intrusion Detection Systems Long Range Wide Area Networks (LoRaWAN) 6G Communication Security EEG Sensing and Medical Device Validation Digital Twin Frameworks for Logistics Professor Larijani's recent publication trends (2024-2025) show strong focus on practical security implementations for emerging technologies, with significant work in EEG validation systems, logistics optimization, antenna design, and VPN protocol analysis. His research bridges theoretical security frameworks with real-world applications across healthcare, agriculture, and transportation sectors. Notable research activities include: Principal Investigator for Market Assessment of Wearable Smart Wireless EEG Headset Co-Investigator for Secure 6G Enabled Realtime Joint Communication and Sensing Testbed Co-Investigator for Ghanaian tomato irrigation improvement project Co-Principal Investigator for British Academy Researcher at Risk - Ukraine Professor Larijani supervises research students with three documented supervised works, and maintains active collaborations across multiple institutions as evidenced by multi-author publications and international projects. His research group appears focused on practical security implementations for next-generation communication systems and IoT applications.

Alicja Olejniczakمشاهده پروفایل

مدرس

• Deep Learning
• Wireless Communications
• LTE Technology
• +۶ مورد دیگر

mgr inż. Alicja Olejniczak serves as a Lecturer at the Department of Radiocommunication Systems and Networks within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. Her work focuses on the intersection of wireless communications and artificial intelligence, particularly applying deep learning techniques to solve challenging problems in modern radio systems. Her primary research interests include: Deep learning applications in wireless communication systems Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) identification in indoor environments Signal processing for GMSK modulation schemes Software-defined radio implementations for NB-IoT technologies Train detection using LTE reference signals Radiolocation systems and multilateration techniques Analysis of her recent publications reveals a strong trend toward applying deep learning methods to solve practical problems in wireless communications. Her work spans both theoretical development and practical implementation of algorithms for signal processing, channel estimation, and radio interface design. A significant portion of her research focuses on NB-IoT and LTE technologies, with applications ranging from Internet of Things to transportation systems like train detection. Dr. Olejniczak actively participates in multiple research projects at Gdańsk University of Technology, including: SDIDS - Software-Defined Device for Detecting and Mitigating Interferences in 4G-LTE and 5G-NR radio interfaces DUCH IoT - A software-defined, universal radio interface for intelligent IoT devices VCS-MLAT - Innovative method of aircraft locating in distributed VCS systems AEGIS - Mobile Device for Generating Electromagnetic Curtain Her laboratory work involves hands-on implementation of software-defined radio systems and conducting measurements in real-world environments to validate theoretical models. She collaborates extensively with colleagues including O. Błaszkiewicz, K. Cwalina, P. Rajchowski, and J. Sadowski on various research initiatives.

• Space Plasma Physics
• Planetary Ionospheres
• Magnetospheric Physics
• +۵ مورد دیگر

Jan-Erik Wahlund is an Associate Professor at the Swedish Institute of Space Physics (Institutet för rymdfysik), Uppsala division, which is affiliated with Uppsala University. His research focuses on space plasma physics with particular emphasis on planetary ionospheres and magnetospheric interactions. Wahlund's primary research interests encompass space plasma physics, planetary ionospheres (especially Titan's), Saturn's magnetosphere, and space instrumentation development. His work heavily involves analyzing data from major space missions including Cassini (Saturn system) and JUICE (Jupiter Icy Moons Explorer). He specializes in studying electron density structures, plasma waves, and the complex interactions between planetary bodies and their surrounding space environments. His expertise extends to radio and plasma wave investigations, spacecraft charging phenomena, and the development of instrumentation for space exploration missions. Analysis of Wahlund's recent publications reveals a strong focus on the JUICE mission to Jupiter's icy moons, with particular attention to radio and plasma wave instrumentation. His research trajectory shows consistent investigation of Titan's ionosphere using Cassini data, with recent work expanding to Jupiter system exploration. The publications demonstrate expertise in both theoretical modeling and analysis of spacecraft measurements, with applications spanning multiple planetary bodies in our solar system. Wahlund serves as a key contributor to major international space missions, particularly as part of the Radio & Plasma Wave Investigation (RPWI) team for the JUICE mission. His work bridges theoretical space physics with practical instrumentation development for space exploration.