جستجوی استاد راهنمای دانشگاهی

Asal Kiazadehمشاهده پروفایل

استادیار

• Memristor Devices
• Neuromorphic Computing
• Thin-Film Transistors
• +۷ مورد دیگر

Asal Kiazadeh is an Assistant Professor at the Faculty of Science and Technology (FCT), Universidade Nova de Lisboa, specializing in memristor devices, thin-film transistors, and neuromorphic computing. His research focuses on advancing flexible amorphous oxide materials for resistive switching devices and IoT applications. PhD in Electronics and Optoelectronics from the University of Algarve (2013) Collaboration with Philips Research Laboratories Principal Investigator for NeurOxide (PTDC/NAN-MAT/30812) and OPERA (2022.08132.PTDCO) Local coordinator for TERRAMETA (European Project No. 101097101) His work bridges device physics and system-level innovation, with a particular emphasis on memristor-based neuromorphic computing , reconfigurable smart surfaces , and low-power RF solutions . Recent publications highlight advancements in printed electronics, 2D materials, and sustainable in-memory computing edge devices. Kiazadeh supervises PhD and Master’s students in Micro and Nanotechnology, Electronics, and Materials Science. He has served on the organizing committee of DoCEIS (Doctoral Conference on Computing, Electronics, and Industrial Systems) since 2016 and leads the 'Resistive Switching Technologies for Neuromorphic and RF Solutions' research group.

• Wireless Communication
• Optical Wireless Communication
• Satellite Communication
• +۴ مورد دیگر

Shigeru Shimamoto is a Professor at Waseda University's School of Fundamental Science and Engineering, Faculty of Science and Engineering. His research spans wireless communication systems, biomedical sensing technologies, and intelligent transportation solutions. Since 2014, he has led the Communication and Computer Engineering department at Waseda University, previously serving as Director of the Global Information and Telecommunication Institute (2020-2024). 2008: Visiting Professor at Stanford University's Electrical Engineering 2000-2002: Research Assistant at University of Electro-Communications Key research areas include: Wireless Communication: OTFS modulation, NOMA, RIS-aided systems, and microwave-based vital sensing Smart Healthcare: Non-contact blood pressure monitoring, SpO2 estimation using microwave reflection Transportation Optimization: On-street parking analysis, traffic flow modeling, and energy-efficient vehicular networks Awarded the 2024 Commendation for Science and Technology from MEXT, his work demonstrates strong interdisciplinary impact combining communication engineering with medical applications. Recent publications focus on machine learning integration in gesture recognition, vehicular detection, and resource allocation for autonomous systems.

• Mechanics and mechatronics
• Robotics and intelligent systems
• Nano/micro-systems
• +۱ مورد دیگر

Eiji Iwase is a Professor at the Department of Applied Mechanics and Aerospace Engineering , Waseda University , with concurrent roles at the Ministry of Education, Culture, Sports, Science and Technology (MEXT) as Senior Scientific Research Specialist (2018-2020). His research focuses on Nano/micro-systems Origami/Kirigami-based flexible electronics Self-folding mechanisms for deployable structures Thermoelectric energy harvesting Research Interests span mechanics/mechatronics integration, intelligent robotics, and materials engineering for stretchable devices. He pioneered bilayer self-folding techniques using heat-shrink films and liquid metal interconnects with reduced contact resistivity, enabling robust flexible thermoelectrics. Article Trends show consistent work on Origami/Kirigami engineering Stretchable electronics Thermoelectric generators Self-healing mechanisms Flexible photonic devices Mechanical metamaterials with interdisciplinary applications in medical devices, wearable systems, and microfluidics. Scientific Awards include Waseda Research Award (2016) MEXT Young Scientists' Prize (2015) Marubun Research Encouragement Award (2016) Micro-Nano Science & Technology Division Prize from JSME (2017) Commendation for Science and Technology by MEXT (2015) reflecting his contributions to mechanical systems and flexible electronics.

Tri Nhu Doمشاهده پروفایل

استادیار

• Wireless Communications
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Dr. Tri Nhu Do is an Assistant Professor in the Department of Electrical Engineering at Polytechnique Montréal, where he conducts cutting-edge research at the intersection of wireless communications and artificial intelligence. His academic journey spans institutions across Vietnam, South Korea, the United States, and Canada, bringing a global perspective to his work. Dr. Do is affiliated with the Advanced Microwave and Space Electronics Research Center (POLY-GRAMES) and contributes to the 'New Frontiers in Information and Communications Technologies' center of excellence. Dr. Do's research focuses on wireless communications systems, artificial intelligence applications in telecommunications, and integrated sensing and communication technologies. His work addresses critical challenges in next-generation wireless networks, particularly in security, resource allocation, and performance optimization. Recent research demonstrates a strong emphasis on applying deep learning, generative AI, and federated learning techniques to solve longstanding problems in wireless communications. His publication record shows remarkable productivity and impact, with numerous articles in top IEEE journals including IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and IEEE Communications Letters. The research trends indicate a strategic shift toward integrating AI with traditional communication theory, particularly in security applications, reconfigurable intelligent surfaces, and UAV communications. Dr. Do teaches advanced courses in signal detection and estimation, communication theory, and digital transmission, sharing his expertise with the next generation of electrical engineers. His teaching reflects his research interests, providing students with both theoretical foundations and exposure to cutting-edge developments in the field.

Christof Paarمشاهده پروفایل

استاد

• Cryptography
• Hardware Security
• Embedded Systems Security
• +۷ مورد دیگر

Professor Christof Paar is a Research Professor at Ruhr University Bochum, Faculty of Computer Science, where he leads the Embedded Security group. His work bridges theoretical cryptography with practical implementation security for embedded systems, with a strong emphasis on real-world security challenges. Professor Paar's research focuses on multiple critical areas of security including hardware security, side-channel attacks, hardware trojans, physical-layer security, wireless security, and reverse engineering. His work is characterized by a strong practical orientation, often demonstrating real-world vulnerabilities and developing practical countermeasures. He has made significant contributions to understanding and improving the security of cryptographic implementations in resource-constrained environments. His publication record shows a consistent output of high-quality research, with particular emphasis in recent years on physical-layer security, wireless security, hardware reverse engineering, and hardware trojan detection. His work spans both theoretical contributions to cryptographic engineering and practical demonstrations of security vulnerabilities in real systems. Professor Paar's educational impact is substantial, having co-authored the widely used textbook 'Understanding Cryptography' and offering numerous courses at both undergraduate and graduate levels. His group actively engages students through Bachelor and Master projects, providing hands-on experience with cutting-edge security research topics. His lab, the Embedded Security group, appears to maintain an active research program with multiple ongoing projects in hardware and embedded systems security. The group collaborates internationally and publishes regularly in top security venues, maintaining a strong presence in the cryptographic engineering community.

• Antenna Design
• Wireless Communications
• Metasurfaces
• +۳ مورد دیگر

Alberto Toccafondi serves as an Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena. He teaches core courses including Physics II for Management Engineering undergraduates and RFID Technologies for the Master's program in Electronics and Communications Engineering. His research centers on advanced antenna systems with specialization in metasurface antennas and reconfigurable intelligent surfaces (RIS) . Key focus areas include circular polarization techniques, surface wave manipulation, Ka-band applications, and electromagnetic modeling for next-generation wireless systems. His work bridges theoretical electromagnetic analysis with practical antenna implementation. Recent publications (2024-2025) reveal a concentrated research trajectory in metamaterial-based antenna engineering, emphasizing multi-beam capabilities, polarization diversity, and network-theoretic optimization of RIS. This work consistently targets 5G/6G infrastructure challenges through publications in IEEE Transactions on Antennas and Propagation and flagship antenna conferences.

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.