جست‌وجوی استاد و پژوهشگر

Dwi Rahayuمشاهده پروفایل

مدرس

• Computer Science
• Data Science
• Smart Home Technologies
• +۳ مورد دیگر

Dwi Rahayu is a Lecturer in the Department of Human Centred Computing at Monash University. She is a Chief Investigator in the 2025 project 'Integrating Equity, Diversity, and Inclusion (EDI) into ICT Education: A GenAI-Powered Approach to Curriculum Development' funded by the Australian Council of Deans of Information and Communications Technology (ACDICT). Her research spans smart energy systems, wireless sensor networks, data science, and educational technology. Her expertise contributes to UN Sustainable Development Goals, particularly in advancing equitable and inclusive education through technology. Research collaborations include work on multimodal analytics for team teaching, sentiment analysis of e-commerce reviews, and material science innovations in metallurgy. Key research trends include optimizing data routing in sensor networks, developing context-aware energy solutions, and leveraging large language models for topic and sentiment analysis. She has advised multiple projects involving energy management, healthcare practices, and corporate financial analysis. No scientific awards are explicitly mentioned in the provided texts. Her work also involves community-focused initiatives, such as improving web programming skills through Laravel frameworks and enhancing logical thinking via game development in adolescents. Projects often emphasize practical applications of technology in public administration and healthcare contexts.

• Smart Wireless Systems
• Internet of Things (IoT)
• Information Security
• +۸ مورد دیگر

Mohammad Derawi is a Professor in the Department of Electronic Systems at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. He leads the Smart Wireless Systems (SWS) research group and serves as the scientific leader of the IoT Lab at NTNU Gjøvik. Educational Background: PhD in Information Security from NISLab (Norway) and CASED (Germany) BSc and MSc in Informatics from DTU (Denmark) His research interests span smart wireless systems, Internet of Things (IoT), information security with a focus on biometric authentication, digital electronics, applied machine learning for activity recognition, and e-learning technologies. His work integrates cybersecurity, embedded systems, and data science to develop secure and intelligent IoT solutions for real-world applications. The recent publications highlight a strong trend in mmWave-based sensing for unmanned aerial systems, RF fingerprinting for secure identification, IoT security frameworks, and machine learning applications in education and human resource analytics. His research bridges theoretical innovation with practical implementation, particularly in smart cities, healthcare, and transportation. Scientific Awards and Recognition: Invitation to the Crown Prince and Princess's 50th birthday celebration, 2023 Study Quality Award, NTNU, 2017 Norway’s Youngest Professor Award, 2016 Denmark’s youngest M.Sc. engineering award, 2009 IEEE Commendation for Young Professionals Volunteer, 2011 Multiple best paper awards from IEEE, ACM, and Springer Mohammad Derawi has been involved in several funded research and development projects, including IoT Safetraffic (RFF Inland), Ambulance Drone (NTNU Vice-Rector), Wireless ECG (Innovation Norway), biometric handgun security (RFF Innlandet), and the EU Framework 7 TURBINE project. He mentors students and collaborates with international researchers, contributing significantly to both academic and applied domains. His leadership in the SWS group and IoT Lab fosters innovation in wireless and secure embedded systems. He is actively engaged in laboratory and team-based research, particularly through the Smart Wireless Systems group and the IoT Lab, focusing on developing secure, intelligent, and scalable solutions for next-generation wireless applications.

• Integrated Circuits
• RF Circuit Design
• Low-Power Electronics
• +۳ مورد دیگر

Jean-Baptiste Bégueret is a researcher with extensive contributions to integrated circuits , RF design , and low-power electronics . His work spans analog , digital , and mixed-signal systems.

• Functional Safety
• Functional Testing
• Microprocessor Testing
• +۹ مورد دیگر

Riccardo Cantoro is an Associate Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he is a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. He is affiliated with the CAD - Electronic CAD & Reliability Group and the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His work bridges academic research and industrial applications through multiple commercially funded projects. Scientific Disciplinary Sector: IINF-05/A - Information Processing Systems ERC Sectors: PE7_4, PE6_2, PE6_11, PE6_12 His research focuses on functional safety, functional testing, and microprocessor testing, with a strong emphasis on embedded systems and reliability. He applies machine learning and formal methods to enhance test efficiency and system robustness, particularly in automotive and safety-critical domains. His work integrates computer-aided design, fault modeling, and resilience assessment in both hardware and AI systems. The recent publications highlight a trend toward data-efficient and intelligent testing methodologies, combining machine learning (e.g., TabPFN, active learning) with traditional electronic design automation. Topics include microcontroller performance screening, CNN resiliency, FeFET device testing, and system-level test optimization, reflecting a cohesive research agenda in trustworthy computing and hardware reliability. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Dr. Cantoro supervises numerous PhD students in Computer and Systems Engineering, focusing on functional safety, test methodologies, and AI for CAD. He leads multiple industry-funded research projects, including collaborations with Infineon Technologies and Dana-TM4 Italia, on topics such as ATPG tools, speed monitor modeling, and power module reliability. His role as Scientific Manager/Head underscores his leadership in applied research and technology transfer. Labs and Teams: He is a core member of the CAD - Electronic CAD & Reliability Group (DAUIN) and contributes to the CARS@PoliTO center, fostering interdisciplinary research in automotive systems and sustainable mobility.

AHMET ERENمشاهده پروفایل

مدرس

• Electrical and Electronics Engineering
• Smart Grids
• Electrical Energy and Power Systems
• +۳ مورد دیگر

Ahmet Eren serves as a Lecturer at Gaziantep University's Technical Sciences Vocational School within the Electrical and Energy Department since 2019, holding concurrent appointments in both undergraduate and associate degree programs. His academic foundation includes a Doctorate in Electrical and Electronic Engineering from Gaziantep University's Institute of Science (ongoing since 2019), complemented by a Master's degree (2014-2018) and Bachelor's degree (2009-2014) from the same institution's Faculty of Engineering. His educational trajectory is structured as follows: Doctorate (Dr.) in Electrical and Electronic Engineering, Gaziantep University Institute of Science (2019-) Master of Science in Electrical and Electronics Engineering, Gaziantep University Institute of Science (2014-2018) Bachelor of Science in Electrical and Electronics Engineering, Gaziantep University Faculty of Engineering (2009-2014) Research focuses intensely on modern power infrastructure challenges, specializing in Smart Grids, Renewable Energy Systems integration, and advanced Battery Storage Solutions. His work bridges theoretical control strategies with practical implementations for grid stability, evidenced by publications targeting multilevel converters, state-of-charge balancing, and microcontroller-based power quality regulators that address harmonic mitigation and reactive power compensation. Recent publications (2022-2023) reveal a concentrated research thrust toward enhancing grid resilience through battery energy storage systems and power quality devices, with methodologies spanning adaptive control schemes to hardware implementations using ARM Cortex processors. These works consistently target Q1 journals like ISA Transactions and Applied Energy, emphasizing real-world applicability in renewable energy integration scenarios. Three TÜBİTAK-funded national projects underscore his technical leadership: development of fault-tolerant SOC balancing for battery storage (2021-2024), high-density power quality regulators (2021-2024), and SiC-based inverters for renewable applications (2019-2020). These initiatives culminated in an international patent for fault-tolerant state-of-charge balancing methods (WO2024039339A1). Teaching responsibilities encompass Mathematics for undergraduate programs and specialized associate-degree courses including Microcontrollers, Fiber Optic Communications, and Power Systems, reflecting his dual commitment to foundational theory and applied technical education within vocational training frameworks.

• Gut Microbiota
• Intestinal Flora
• Fermented Foods
• +۵ مورد دیگر

Hans Heilig is a Researcher at Wageningen University & Research , focusing on microbial evolution and its implications in diverse biological systems. His work bridges microbiology, nutrition, and environmental science. Research Interests: His studies center on the gut microbiota in human and animal models, particularly in rural populations and aquaculture. Key areas include the effects of fermented foods on intestinal flora, microbial links to metabolic disorders like obesity and diabetes, and the impact of rearing environments on microbial development in fish (tilapia) and pigs. Collaborations and Projects: Heilig co-investigated the MICRObial processing to reduce and CONTROL emissions (MICROCONTROL) project (2013–2016), contributing to microbial ecology research. He collaborates with leading scientists such as Willem M. de Vos and Hauke Smidt. Research Output: With over 40 peer-reviewed publications, his work appears in journals like Nature Communications , PLoS ONE , and Scientific Reports . His datasets, including 16S ribosomal RNA gene sequences , are publicly accessible.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +۴ مورد دیگر

Iñaki Vazquez Gomez is a Lecturer and Researcher at the University of Deusto , affiliated with the College of Engineering and Department of Computing, Electronics and Communication Technologies . He holds a PhD in Computer Science and Artificial Intelligence (University of Deusto and Lancaster University) and served as Director of Deusto Institute of Technology (2020-2023). His research focuses on Reinforcement Learning , Internet of Things , and Cognitive Robotics , with applications in human-robot interaction and ambient intelligence. Member of European Internet of Things Council Founder of technology startups Editorial board member of International Journal of Ambient Computing and Intelligence His 15 most recent publications (2005-2024) span themes of Autonomous Systems , Context-Aware Computing , and Smart Environments , with subtopics including semantic device communication, adaptive positioning algorithms, and collaborative robotics architectures. 2024: Adaptive Robot Behavior via Reinforcement Learning 2021: Gesture Recognition for Resource-Constrained Devices 2015: Context-Aware Service Matching in AAL Scientific honors include: X Premio UD-Banco Santander de Investigación (2015) Sexenio de Investigación (2018-2025) Profesor Doctor de Universidad Privada (2009-2025) He supervised PhD students like Asier Gonzalez Santocildes and Ignacio Fidalgo Astorquia, while leading grants such as AI-Driven Cognitive Robotics (2021-2024) and Quantum Technologies (2021-2022). His work includes developing middleware for smart spaces and founding the Sentient Things project for self-adapting environmental systems.

Idriss Dagalمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Photovoltaic Systems
• Power Electronics
• +۶ مورد دیگر

Idriss Dagal serves as an Assistant Professor at Beykent University's Department of Electrical and Electronics Engineering. With a PhD and Master's in Electrical Engineering from Yildiz Technical University (2015 and 2023 respectively), and additional academic credentials from Ethiopian Airlines Aviation University and Mongo Polytechnics University, his career bridges academic research with industry experience as a Sales Engineer. PhD: Yildiz Technical University (2015) Master's: Yildiz Technical University (2023), Ethiopian Airlines Aviation University (2008) Bachelor's: Mongo Polytechnics University (2006) His research focuses on renewable energy systems , particularly photovoltaic power optimization using metaheuristic algorithms (Hybrid PSO-Salp Swarm, Gray Wolf Optimization). He also explores control systems for solar energy and aircraft dynamics, including PID and fuzzy logic controllers. Additional work spans machine learning applications in energy and medical diagnostics, along with power electronics for battery charging. Recent publications highlight 15 2025 articles on topics like hybrid energy systems , AI-driven MPPT , and aircraft control frameworks . His work appears in journals such as Scientific Reports , IEEE Access , and International Journal of Aeronautical and Space Sciences . Teaching experience includes courses in Electrical Machines and Information Technologies . Non-university roles at Elektra Electronic Company and Aktif Group Company involved sales engineering, complementing his academic profile with industry insights.

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Giacomo Boracchi is a researcher at the Polytechnic University of Milan , focusing on machine learning, computer vision, and signal processing. His work spans anomaly detection, change detection in data streams, 3D imaging, and biomedical applications. Key Collaborations : Diego Carrera, Luca Magri, Cesare Alippi Industries : Embedded systems, medical imaging, environmental monitoring Recent research explores adaptive Kalman filtering for battery estimation, zero-shot anomaly detection, and explainable AI for vision-language models. Publications highlight applications in waste sorting, histological data generation, and cardiac monitoring. His technical focus includes convolutional networks, ensemble learning, and domain adaptation. Boracchi's work bridges theoretical advancements with real-world systems in fraud detection, semiconductor manufacturing, and wearable health devices.

José Pineda de Gyvezمشاهده پروفایل

استاد

• Ultra-Low Power Design
• Variability Tolerance
• Context-Aware Computing
• +۳ مورد دیگر

José Pineda de Gyvez is Full Professor of Resilient Nanoelectronics at Eindhoven University of Technology (TU/e), affiliated with the Electronic Systems group in the Department of Electrical Engineering. He bridges academia and industry through practical experience in classrooms and technology innovation for industrial applications. His academic background includes a PhD from TU/e (1991), MSc from Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico) and University of Toronto (Canada) (1984). He previously served as faculty at Texas A&M University (1991–1999) and as Principal Scientist at Philips Research (1999–2006) and NXP Semiconductors (2006–present). Research interests focus on ultra-low power design , variability tolerance , and context-aware computing in semiconductor technology. Key trends in his publications include energy harvesting , subthreshold circuits , flip-flop optimization , and IoT power management . His work has shifted toward wearable medical devices and ultrasonic gesture recognition in recent years. Scientific Awards: IEEE Fellow (2009) He has co-authored over 100 publications, four books, and holds more than 30 US patents. His research is funded by the Dutch Ministry of Science, US Office of Naval Research, and National Science Foundation. Current projects include STW Zero 15-06 (energy harvesting), SILENSE (smart home transducers), and Wearable Brainwave Processing Platform (seizure detection).

Loukas Hadellisمشاهده پروفایل

استاد

• Industrial Communication
• Microcontrollers
• Industrial IoT
• +۵ مورد دیگر

Loukas Hadellis is a Professor in the Department of Electrical Engineering and Computer Technology at the University of Patras. He holds a PhD from the same department (2002) and a Master of Engineering from Carleton University, Canada (1983). His research focuses on Industrial Communication, Smart Grid technologies, Sound Engineering, and Fiber Optic Communication. He advises on projects related to IoT, Energy Management, and Automation Systems. Research interests include fieldbuses, microcontrollers, industrial IoT, interoperability, distributed control, and smart grid DSM/ADR. He has contributed to advancements in audio electronics, optical communication systems, and context-aware control frameworks. His work integrates theoretical models with practical applications, such as optimizing energy costs in smart homes and developing demand response systems for smart grids. He maintains active collaborations in both academic and industrial sectors.

• Artificial Intelligence
• Cyber-physical systems
• Machine Learning
• +۳ مورد دیگر

Berend Jan van der Zwaag is an Assistant Professor at Universiteit Twente, affiliated with the Sensors and Smart Systems Research Centre. His work contributes to UN Sustainable Development Goals related to sustainable industry and innovation. He focuses on Artificial Intelligence, Cyber-physical systems, and Machine Learning applications in sensor networks and inertial measurement systems. Research interests include equine gait analysis using IMU sensors, machine health monitoring through ontology-based frameworks, and wireless sensor network design. Notable projects include the EquiMoves system for objective horse gait examination and an ontology framework for smart product-service systems in industrial IoT. Recent work emphasizes terrain classification for equine systems, gait event estimation, and speed estimation using body-mounted sensors. His publications span conferences like IEEE DCOSS-IoT and journals like Sensors and IEEE Internet of Things Journal. Accepting PhD Students Key collaborator: Prof. Paul Havinga (Twente) Research partnerships in Netherlands and international institutions

Le Guanمشاهده پروفایل

دانشیار

• Computer Security
• Embedded Systems
• Cyber-Physical Systems
• +۳ مورد دیگر

Le Guan is an Associate Professor at the School of Computing, University of Georgia. His research focuses on embedded systems security, IoT security, and software engineering. He holds a PhD from the Chinese Academy of Sciences and a BEng from the University of Science and Technology of China. His work includes groundbreaking contributions to firmware security, hardware-assisted defense mechanisms, and vulnerability detection in cyber-physical systems. Education: PhD in Information Technology, Chinese Academy of Sciences (2015) BEng in Computer Science, University of Science and Technology of China (2009) Research Interests: Embedded Systems Security Firmware Integrity and Analysis Cyber-Physical System Defense Hardware-Software Co-Security Automated Vulnerability Detection Recent Research Trends: Recent articles highlight innovations in firmware emulation, hybrid fuzzing for IoT devices, and hardware-assisted security mechanisms for microcontrollers. His work frequently bridges theoretical frameworks with practical implementations for real-world embedded systems. Awards: NSF Career Award (2023) Student Career Success Influencer Award (2022) Grants and Collaborations: Co-PI on the 2023 Presidential Interdisciplinary Seed Grant on Deep Fakes. His NSF Career Award supports research into data protection in embedded systems. Collaborates widely with industry and academia on firmware security and automotive systems.

Christian Vogtمشاهده پروفایل

مدرس

• IoT and Embedded Systems
• Wireless Sensor Networks
• Medical Electronics
• +۳ مورد دیگر

Dr. Christian Vogt Dr. Christian Vogt is a Lecturer at the Department of Information Technology and Electrical Engineering within the Center for Project-Based Learning at ETH Zürich. His research focuses on IoT systems, embedded electronics, and wearable technology with applications in agriculture, healthcare, and urban computing. He specializes in energy-efficient sensor networks, flexible electronics, and real-time data transmission systems. Research Interests Vogt's work bridges hardware innovation and software optimization, emphasizing practical implementations through project-based learning. Key areas include: IoT and Wireless Sensor Networks Low-power embedded machine learning Wearable biomedical devices Flexible/stretchable electronics Ultra-wideband and radar-based sensing Publications Recent work highlights energy-efficient livestock monitoring systems using LoRa, battery-free sensor nodes powered by human body energy, and real-time gesture recognition with novel sensors. His research often involves interdisciplinary collaborations between computer science, electrical engineering, and biomedical applications. Affiliations ETH Zürich - Center for Project-Based Learning Department of Information Technology and Electrical Engineering Contact: christian.vogt@pbl.ee.ethz.ch

Malik Čabaravdićمشاهده پروفایل

استاد

• Automation and Robotics
• Innovation Management
• Curriculum Innovation
• +۳ مورد دیگر

Prof. Ph.D.Sc. Malik Čabaravdić is a Full Professor at the Department of Automation and Metrology, Faculty of Mechanical Engineering, University of Zenica. He holds a Doctor of Technical Sciences degree from the Technical University of Dortmund, Germany. Since 2009, he has been affiliated with the University of Zenica, advancing to his current professorship in 2020. His roles include serving as Vice-Rector for International Cooperation and Quality Assurance (2015–2023) and currently leading the Department of Automation and Metrology since November 2023. His research focuses on automation, robotics, innovation management, and quality assurance in higher education. Notable projects include work on 3D printing applications, robot-assisted manufacturing processes, and smart automation systems. He has contributed to international collaborations, particularly in optimizing robotic processes for precision tasks like sheet metal forming and photovoltaic systems. Prof. Čabaravdić's publications span over two decades, emphasizing robotics, automation, and manufacturing innovations. His work bridges theoretical advancements with practical industrial applications, reflecting a strong commitment to both academic research and institutional leadership.