جستجوی استاد راهنمای دانشگاهی

• Signal Processing
• Embedded Systems
• Machine Learning
• +۲ مورد دیگر

Dr. Ergun Erçelebi is a Professor at Gaziantep University's College of Engineering , Department of Electrical and Electronics Engineering. With expertise in Signal Processing , Embedded Systems , and Machine Learning , he has led research in power electronics, wireless localization, and biomedical applications. PhD in Electrical-Electronics Engineering (Gaziantep University, 1999) MSc in Electrical-Electronics Engineering (Gaziantep University, 1992) BSc in Electrical-Electronics Engineering (Middle East Technical University, 1990) His research spans power electronics (multilevel inverters, photovoltaic systems), signal processing (speech enhancement, wavelet transforms), and embedded systems (UAV control, RFID localization). Recent work focuses on hybrid optimization techniques and deep learning for harmonic reduction, modulation classification, and biomedical antenna design. His 2021-2024 publications demonstrate trends in machine learning applications for Turkish lira recognition, UAV-bird classification, and metamaterial design. Earlier work (2014-2020) includes energy management systems, medical imaging phantoms, and smart home automation. 2024: Stanford Most Effective Scientists recognition 15+ patents in embedded systems and medical devices He has supervised 7+ graduate student projects and led 8 research grants, including TÜBİTAK 1501 funding for wearable nebulizer design. His work includes developing smart security systems , remote energy management devices , and RFID-based indoor localization solutions.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Associate Professor Biplob Ray serves as Head of Course for Postgraduate ICT Courses at the School of Engineering and Technology, Central Queensland University. With over 15 years of academic experience, he has progressed from ICT Lecturer (2015-2019) to Senior Lecturer (2020-2022) and currently holds the position of Associate Professor (2023-Present). His research is centered at the Centre for Intelligent Systems within the Institute for Future Farming Systems, where he leads multidisciplinary projects with significant industry and government funding. Dr. Ray holds a PhD from Deakin University (2015), Master of Information Technology from University of Ballarat (2008), and Graduate Certificate in Education Tertiary Teaching (2013). His academic journey began with a BSEng in Computer Engineering, followed by professional experience as Analyst Programmer at Telstra and Systems Programmer in the Philippines. His research focuses on the intersection of Artificial Intelligence, Internet of Things, and Cybersecurity, with practical applications spanning smart farming, environmental monitoring, and energy systems. His multidisciplinary approach has secured over $3 million in research funding from Australian federal government and industry sources since 2016, including significant projects like the $1.28 million 'Intelligent, Adaptable, and User-Friendly Weed Management system' and the $513,268 'AI-SSPCAS' project with CSIRO Data61. Dr. Ray's publication record shows consistent high-quality output with approximately 15-20 papers annually, primarily in IEEE and Elsevier journals. His work demonstrates strong translational impact, with multiple projects featured in media outlets including ABC News, Channel 7, and Australian Tree Crop magazine. His research has directly contributed to practical implementations such as smart irrigation systems for Cairns Regional Council and cybersecurity solutions for small businesses. 2025 Australian Awards for University Teaching (AAUT) 2024 Vice-Chancellor's Award of Commendation for Outstanding Researcher (Mid-Career) 2023 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching 2021 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching (Tier 1) 2019 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching 2016 'RISING STAR of 2016' award from CQUniversity Dr. Ray currently supervises fifteen research students across PhD and Master's programs, with active grants supporting multiple research positions. His leadership extends to professional service as Vice-Chair of IEEE Victorian Section (2024-2025), former Chair of IEEE Victoria IoT Community, and member of the Engineering Institute of Technology Course Advisory Committee. The Centre for Intelligent Systems fosters interdisciplinary collaboration with regular seminars, industry partnerships, and international research connections, providing students with rich opportunities for professional development.

Nathalie Gontardمشاهده پروفایل

استاد پژوهش

• Sustainable Packaging
• Biomaterials
• Waste Management
• +۳ مورد دیگر

Nathalie Gontard serves as Research Director at the Institut National de la Recherche Agronomique (INRA) in Montpellier, leading the Joint Research Unit 'Ingénierie des Agropolymères et Technologies Emergentes' (IATE) within the Occitanie-Montpellier Center and TRANSFORM Department. With over 30 years of pioneering work, she has established herself as a global leader in sustainable packaging solutions and agricultural waste valorization. Academic Background PhD in Food Science, University of Montpellier (1988-1991) Postdoctoral Research, University of East Anglia, Norwich (1988-1991) Engineering Degree & Master's, Montpellier (1985-1988) DUT (University Diploma of Technology), Montpellier (1983-1985) Dr. Gontard's research program focuses on developing next-generation biodegradable packaging materials derived from agricultural waste streams including vine stocks, olive residues, and dairy effluents. Her innovative approach integrates life cycle assessment from initial product conception rather than post-production evaluation. She pioneered 'intelligent packaging' systems using protein-based RFID sensors that detect food spoilage through electrical property changes when exposed to CO 2 and ammonia, providing real-time expiration indicators. Her work evolved from studying traditional 'leaf packaging' systems in Africa, South America, and Asia to leading the €8 million No Agro-Waste project involving 32 countries including China. This initiative represents a paradigm shift toward designing packaging with net-positive environmental impact through circular economy principles. Professional Recognition Etoile de l'Europe H2020 Prize (2015) for European research excellence Laurier Défi Scientifique Award (2017) recognizing scientific impact Dr. Gontard directs an internationally diverse research team coordinating continuous collaborations across continents via digital platforms. Her current research priorities include developing iron-particle based anti-oxidation packaging and investigating landfill plastic waste transformation. She maintains strong connections with her native Ardèche region, where her family's sustainable lifestyle profoundly influenced her research philosophy focused on zero-waste agricultural systems.

Hayssam El-Razoukمشاهده پروفایل

دانشیار

• Hardware Security
• Cryptographic Hardware
• VLSI Circuits Design
• +۵ مورد دیگر

Hayssam El-Razouk serves as Associate Professor in the Electrical and Computer Engineering Department at California State University, Fresno within the Lyles College of Engineering. He holds a PhD in Electrical and Computer Engineering from Western University (2015) and maintains active industry connections through prior roles at IBM Canada and RedIron Technologies. Education: PhD in Electrical and Computer Engineering, Western University, London, Ontario, Canada (2015) MESc in Electrical and Computer Engineering, Western University, London, Ontario, Canada (2006) BEng in Electrical and Computer Engineering, Beirut Arab University, Beirut, Lebanon (2002) - First Rank Research Focus: Dr. El-Razouk's work centers on Hardware Security and Cryptographic Hardware , with significant contributions to VLSI Circuits Design for finite field arithmetic. His research bridges theoretical cryptography with practical implementations, emphasizing defect tolerance in digital circuits, data compression techniques, and pseudo-random sequence generation for secure communications. Current projects address emerging threats in embedded systems and IoT security. Publication Trends: Analysis of his 15 most recent publications (2025-2016) reveals consistent specialization in GF(2^m) arithmetic optimization using Gaussian Normal Basis and Polynomial Basis representations. His work demonstrates progressive refinement from foundational finite field operations (2016-2019) toward integrated security solutions (2020-2025), with increasing focus on side-channel attack resistance and hardware-software co-design for real-world applications including automotive systems and smart homes. Scientific Recognition: Natural Sciences and Engineering Research Council (NSERC) Canada Graduate Scholarship-Doctoral (2011-2015) Best Presenter Award, IEEE CCWC 2023 Best Paper Award, IEEE CCWC 2021 Outstanding Faculty Publication Award, CSU Fresno (2019, 2020) Jamal Abdul Nassir Golden Medal Distinction Award (2002) Research Funding and Mentorship: Dr. El-Razouk secured a $378,002 Department of Defense grant (W911NF-21-1-0210) in 2021 for hardware security research. He teaches core courses including ECE 150 (Cloud and Cybersecurity) and ECE 156 (Cryptography), supervising senior design projects on topics like RFID security and temperature monitoring systems. As an IEEE and ASEE member, he actively contributes to conference program committees and journal reviews.

Andreas Hennigمشاهده پروفایل

استاد

• Biomedical Sensors
• Wireless Sensor Networks
• Inductive Sensing
• +۴ مورد دیگر

Prof. Dr. Andreas Hennig is a Professor of Medical Sensor Systems at the Institute of Measurement and Sensor Technology, Ruhr West University of Applied Sciences since 2022. He serves as Program Director for the Master's program in Sustainable Health Technologies and previously held leadership roles at Fraunhofer IMS from 2006-2022 as Group Leader for Wireless Sensorics and Program Manager for Sustainable Production. He earned his Master of Science in Electrical Engineering from Bergische Universität Wuppertal (2001-2006) and completed his PhD at the University of Duisburg-Essen (2006-2009) on optimizing transmission methods for implantable telemetry sensor systems. His research pioneers non-contact sensing through inductive techniques, quantum magnetometry, and machine learning for medical diagnostics (neonatal vital monitoring, biomagnetic sensing), Industry 4.0 applications (predictive maintenance, sustainable production), and Smart City infrastructure. Current projects focus on quantum sensors for electromagnetic tracking and inductive methods for industrial process monitoring in steel manufacturing. Publications reveal an evolution from biomedical wireless sensors (2010-2015) toward industrial quantum sensing (2018-2024), with recent work emphasizing microscale electromagnetic tracking and magnetic property evaluation in hot-rolling mills. Prof. Hennig supervises theses on vital parameter monitoring for newborns, quantum biomagnetic sensing, and sustainable industrial process monitoring. He has secured funding for projects including SmartNeonatalCare, GenSATIon-EDGE, INNERVATE, and FabLab collaborations (QuFabLab, QuMiniLabs), demonstrating strong grant acquisition capabilities. He directs the LASIMM research laboratory equipped for PCB prototyping (reflow/SMD assembly), 3D printing, and advanced measurement (Impedance/Network Analyzers). His team comprises six scientific staff members including Anika Nietert, Christine Bremer, and Thomas Thuilot, supporting both academic research and student projects.