Find Academic Supervisors

• Automation and Control Systems
• Robotics in Agriculture
• Artificial Intelligence in Agriculture
• +7 more

Assoc. Prof. Ing. Vladimír Cviklovič, PhD. is a full-time Associate Professor at the Slovak University of Agriculture in Nitra, Faculty of Engineering, Institute of Electrical Engineering, Automation, Informatics and Physics. He is also identified as a faculty member of the Department of Electrical Engineering, Automation and Informatics (TF). Research Interests: His work spans automation systems, robotics, artificial intelligence in agriculture, sensor networks, and precision farming. He is particularly active in developing autonomous mobile robotic systems for crop production, integrating AI and computer vision into smart farming applications. Publications & Trends (2025): In 2025 alone, he co-authored five outputs ranging from AI-based evaporation modeling and ultrasonic cow localization to real-time plant segmentation using YOLO on smartphones. These reflect a clear trend toward AI-driven precision agriculture and sensor-based environmental monitoring. Projects & Grants: He currently leads or co-leads 23+ projects funded by VEGA, KEGA, APVV, EIT, Erasmus+, and national recovery programs. Key ongoing projects include autonomous greenhouse-gas mapping around livestock facilities, AI-based disease diagnosis in orchards, robotic tomato harvesting, and integrating Industry 4.0 technologies into engineering education. Supervision & Teaching: He has supervised more than 130 final theses (bachelor, diploma, dissertation) since 2012, with topics covering PID control, robotics, sensor design, renewable energy, and smart systems. His consultation hours are every Thursday 9:00–10:00 in office MF-B_2_Va320.

• Robotics
• Control Systems
• Electrical Engineering
• +4 more

Özcan ÇETİNKAYA is an Assistant Professor at Keşan Vocational School , Trakya University, where he has held academic and administrative roles since 2008, including Head of the Electricity and Energy Department since 2018 and Deputy Director since 2009. Education: High School: Kırklareli Technical High School, Electrical Department (2000, School Topper) BSc: Marmara University, Electrical Education (2004) BSc: Trakya University, Faculty of Engineering, Electrical and Electronics Engineering (2020) MSc: Trakya University, Mechanical Engineering (2009) PhD: Trakya University (2017) Research Interests: Robotics, control systems, and automation technologies. His work focuses on robot arm kinematics, microcontroller applications, and environmental sensor systems. He designs cost-effective solutions for industrial automation, unmanned aerial vehicles, and embedded systems. Publication Trends: His research spans robotics (kinematic control, Sumo robots), sensor systems (temperature, humidity, water level logging), and automation (PLC programming, motor control). Recent work includes IoT-enabled data logging and unmanned aerial vehicle design. Projects: He leads the ongoing Design and Experimental Research of Unmanned Aerial Vehicles (TUBAP 2014/112) and completed Electronics Laboratory and Robot Arm Design projects. Certifications: Includes Class C Occupational Safety Specialist (2013), Siemens PLC programming courses (2009), and Schneider Electric electrical installation training (2010).

• programming and building microprocessor devices
• application programming (Delphi, C++)
• Web programming (.NET, C#, MVC, AJAX)
• +2 more

Sergey Oleksandrovych Sgadov is a Senior Lecturer in the Department of Computer Systems and Networks at Zaporizhzhia Polytechnic National University. With academic activity at the university since 1998, he has established himself as a dedicated educator and researcher in computer science and microprocessor technologies. His institutional affiliation places him within the Faculty of Computer Sciences and Technologies, where he contributes to both teaching and research initiatives. Education: Graduated from Zaporizhia National University in 1993 with honors, specializing in "Solid-state electronics and microelectronics" and receiving the qualification of "specialist". Dr. Sgadov's research spans multiple domains of computer science and engineering. His primary interests include microprocessor programming, application development using Delphi and C++, web programming with .NET technologies, and computer modeling of physical processes. He has made significant contributions to graph theory, particularly in topological graph drawing algorithms and their applications in printed circuit board design. His work bridges theoretical computer science with practical engineering applications, focusing on creating efficient algorithms for complex computational problems. Analysis of his publication record reveals a strong focus on graph theory applications in electronic design automation, microprocessor systems development, and educational tools for computer engineering. His research has evolved from fundamental theoretical work on graph algorithms to practical implementations in microcontroller programming and educational technology. The consistent thread throughout his work is the application of computational methods to solve complex engineering problems, particularly in circuit design and microprocessor systems. Dr. Sgadov teaches courses in microcontroller programming and programming of microcontroller systems, bringing his research expertise directly into the classroom. His teaching methodology likely incorporates practical, hands-on experience with modern microprocessor technologies, reflecting his research interests in ARM Cortex processors and microcontroller applications.

• Technology Education
• Engineering Education
• STEM Education
• +3 more

Joseph Furse serves as an Assistant Professor in the Department of Applied Sciences, Technology and Education (ASTE) within Utah State University's S.J. & Jessie E. Quinney College of Agriculture & Natural Resources. His academic appointment bridges agricultural education with technological pedagogy, focusing on practical implementation of emerging technologies in secondary and post-secondary settings. His research centers on technology and engineering education (TEE) with specialization in robotics integration, drone applications, and electronics curriculum development. Key interests include teacher support systems for technological literacy, student self-efficacy in competitive robotics, and standards-based implementation of engineering education frameworks. His work consistently addresses rural educational contexts and agricultural applications of technology. Publication analysis reveals evolving research trajectories: recent work (2023-2025) emphasizes AI adoption in agricultural education and teacher mentoring systems, while foundational studies (2015-2019) established robotics competition impacts on student outcomes and electronics curriculum transformation. His scholarship demonstrates consistent focus on practical classroom applications and measurable educational outcomes in technology-intensive learning environments.

• Electrodynamics
• Electronics
• Embedded Systems
• +2 more

Dr. Vytautas Jonkus is an Associate Professor at the Institute of Applied Electrodynamics and Telecommunications (IAET), Vilnius University. His research focuses on Embedded systems, microcontrollers, electromagnetic wave propagation, and antenna theory .

• Signal Processing
• Embedded Systems
• Machine Learning
• +2 more

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.

Ahmet Mete VURALView profile

Professor

• Power Electronics
• Smart Electricity Grids
• High Voltage Engineering
• +5 more

Professor Ahmet Mete Vural is a faculty member at Gaziantep University, Faculty of Engineering , specializing in Electrical and Electronics Engineering . He holds a PhD in Electrical Engineering from Çukurova University (2012) and has taught courses like Power System Dynamics, Advanced Power Conversion, and High Voltage Techniques since 2004. Education: PhD (2012), MSc (2001), BSc (1999) from Gaziantep University His research focuses on power electronics , modular multilevel converters , renewable energy integration , and smart grid technologies . He has developed innovative control schemes for battery storage systems and STATCOM devices, with a strong emphasis on power quality improvement and oscillation damping . Recent publications analyze advanced control strategies for modular multilevel converters and renewable energy systems . His work combines theoretical modeling with experimental validation, particularly in STATCOM design and high voltage techniques . Professor Vural supervises 28 master's and 7 doctoral theses , including topics on wind energy conversion systems, battery storage, and power flow control. He serves as an editor for Turkish Journal of Electrical Engineering and International Transactions on Electrical Energy Systems .

• Surface Physics
• Solid-State Physics
• Two-Dimensional Materials
• +6 more

Dr. Marek Kopciuszyński is a Lecturer at the Department of Surface Physics and Nanostructures, Maria Curie-Skłodowska University, Lublin. He has served as the substantive supervisor of the Electronics Laboratory since 2019 and teaches courses in Electronics, Computational Methods, and Microcontroller Applications. His research focuses on the electronic structure of two-dimensional materials (e.g., silicene, graphene) and nanostructures using angle-resolved photoelectron spectroscopy (ARPES). PhD in Physics (2015) with distinction Member of the Department of Surface Physics and Nanostructures since 2015 Internship at Elettra Synchrotron Radiation Facility (Trieste, Italy) in 2022 Recipient of the "Homo didacticus" teaching award (2018/2019) His research spans surface physics, condensed matter physics, and nanoscience, with a focus on atomic-scale materials characterization. He has received multiple Rector's Awards for high-impact publications and contributes to interdisciplinary projects bridging physics and materials science.

Oleksandr Ivanovych VorobetsView profile

Associate Professor

• Semiconductor Devices
• Signal Processing
• Control Systems
• +3 more

Oleksandr Ivanovych Vorobets serves as an Associate Professor in the Department of Computer Systems and Networks at Chernivtsi National University. He holds the academic degree of Candidate of Physical and Mathematical Sciences, awarded for his 2007 PhD thesis on modifying metal-chalcogenide semiconductor barrier structures using pulsed laser irradiation. His academic foundation was built at Yuriy Fedkovych Chernivtsi State University, where he graduated from the Faculty of Physics, Department of Microelectronics and Semiconductor Devices. Research interests span semiconductor device physics , signal processing , and computer engineering , with a focus on modeling and algorithmizing primary information signal converters based on semiconductor barrier structures. His work integrates laser processing techniques for manipulating structural defects in semiconductors and developing hardware/software systems for instrumentation and control. Analysis of his publication history reveals two distinct phases: early work (2003-2009) concentrated on semiconductor material science and laser defect engineering in cadmium telluride structures, while recent publications (2015-2018) pivot toward cryptographic hardware design for IoT and telemetry applications, featuring reconfigurable coprocessors and stream ciphers. Vorobets instructs core computer engineering courses including Computer Electronics, Computer Circuit Engineering, Computer Architecture, System Programming, Microcontrollers, and Automation of Technological Processes and Measurements. His email contact is o.vorobets@chnu.edu.ua.

William HarbourView profile

Assistant Professor

• Engineering Education
• Embedded Systems
• Control Systems
• +7 more

William Harbour is an Assistant Professor and Chair of the Department of Engineering Education at Houston Christian University's College of Science and Engineering. With a PhD in Engineering from the University of Arkansas and dual bachelor's/master's degrees in Electrical Engineering from the University of Oklahoma, he specializes in integrating advanced technical concepts like embedded systems and fuzzy logic control into undergraduate curricula. Education: PhD in Engineering (University of Arkansas), MS in Electrical Engineering (University of Oklahoma), BS in Electrical Engineering (University of Oklahoma) His teaching focuses on engineering problem-solving, circuits, and embedded systems development. Research interests include: Internet of Things (IoT) integration in freshman courses Robotics platform migration between course levels Microprocessor-based control system projects Recent publications examine curriculum continuity across academic levels and IoT implementation in foundational engineering courses. Key contributions include the GK12 Fellowship Program award. Professional affiliations: IEEE, ASEE. Contact: Office Phone - 281-649-3025 | Office Location - Atwood II 108

John ThomasView profile

Assistant Professor

• Artificial Intelligence
• Deep Learning
• Neural Signal Processing
• +7 more

John Thomas serves as an Assistant Professor in the Department of Electrical and Computer Engineering Technology within the College of Engineering Technology at Rochester Institute of Technology (RIT). He joined RIT in August 2025, bringing expertise at the intersection of electrical engineering, computer technology, and neuroscience. Education: B. Tech. from NIT Calicut, India (2010-2014) PhD from Nanyang Technological University, Singapore (2015-2020) Postdoctoral training at Montreal Neurological Institute, Canada (2021-2023) Postdoctoral training at Duke University, USA (2023-2025) Dr. Thomas specializes in applying cutting-edge artificial intelligence to understand the human brain through sleep-wake electrophysiology, neuroimaging, and neuromodulation techniques. His research spans neural signal processing, brain-computer interfaces, and neurotechnology development, with particular focus on AI applications for neurological disorders. He's currently building a research team to explore innovative solutions at the intersection of artificial intelligence, signal processing, control systems, neurophysiology, and neuroscience. Dr. Thomas offers hands-on mentorship for both academic and industry-oriented projects, providing access to international collaborators and datasets. He teaches courses including CPET-133 Introduction to Digital and Microcontroller Systems, covering digital systems, Boolean algebra, combinational and sequential logic, and microcontroller programming. His research environment emphasizes collaboration, with opportunities for publication, prototyping, and potential commercialization. While building his research program at RIT, he maintains connections with international collaborators that may provide internship opportunities for students.

Andrew MaxwellView profile

Senior Lecturer

• Instrumentation
• Measurement Science
• Engineering Education
• +6 more

Andrew Maxwell is a Senior Lecturer in Electronics and Communications Engineering at the University of Southern Queensland. His academic career focuses on both theoretical and practical aspects of electronic systems and engineering education. Dr. Maxwell's research spans multiple domains within engineering, with primary interests in Instrumentation, Measurement Science, and Digital Futures. His work bridges traditional engineering principles with contemporary technological developments, particularly in consumer electronics and educational applications. His expertise in electromagnetics, communications, and design informs both his teaching methodology and research output. Maxwell also explores the philosophical dimensions of measurement, connecting technical practice with theoretical foundations. His publication record demonstrates a strong engagement with current technological trends, particularly in mobile device design, consumer electronics innovation, and the integration of artificial intelligence in everyday products. His writing for The Conversation shows his commitment to public engagement and science communication, making complex engineering concepts accessible to general audiences. Maxwell actively participates in academic discourse through research collaborations and media engagements, with expertise sought for speaking requests, consulting, and research supervision. His work reflects a commitment to both advancing engineering knowledge and effectively communicating its significance to broader society.

• Embedded Systems
• Real-Time Systems
• System-on-Chip Design
• +7 more

Adriano José Conceição Tavares is an Associate Professor at the School of Engineering, University of Minho, Portugal. He serves as a Senior Researcher at Centro ALGORITMI, where he is affiliated with both the IE R&D Group and the ESRG R&D Lab. His academic credentials include a PhD in Industrial Electronics from the University of Minho, a Master of Science in Information Technology from the University of Coimbra, and an undergraduate degree in Informatics from the University of Coimbra. Professor Tavares specializes in embedded systems with particular expertise in: Embedded systems modeling and design System software design System-on-chip design Real-time operating systems Hardware acceleration and FPGA design Virtualization for embedded systems IoT frameworks and protocols His publication record demonstrates a strong research trajectory in hardware-software co-design, with recent work showing an increasing integration of machine learning techniques into embedded systems. His publications span theoretical frameworks to practical implementations addressing real-time performance, resource constraints, and security challenges. Among his scholarly metrics: h-index of 18 126 publications with 1148 citations 20 publications in Q1/Q2 journals Author of a book on microcontroller programming Professor Tavares has supervised students including Miguel Ângelo Fernandes Silva and has established international collaborations through the Erasmus Program with institutions in China, Iran, Thailand, Jordan, and Cambodia. He teaches advanced courses on embedded and real-time systems modeling, compiler design, system-on-chip design, real-time operating system design, and advanced computer architectures at University of Minho.

• Engineering Education
• Teaching Innovation
• Learning Analytics
• +5 more

Susana Romero Yesa is a Researcher at the University of Deusto within the Faculty of Engineering and the Department of Information, Electronic and Communication Technologies . Her work focuses on Engineering Education , Teaching Innovation , and Learning Analytics in remote laboratory environments. Member of the Teaching Innovation Unit (since 2016) Co-creator of the Deusto Pedagogical Framework (2000/2001) Active reviewer for journals/conferences in Engineering Education and Teaching Innovation Research Interests : Development of educational frameworks for EHEA adaptation Application of Learning Analytics to improve student outcomes Design of Remote Laboratories for electronics and microcontroller education Integration of Ethical Competence and 2030 Agenda into engineering curricula Analysis of Student Dropout Variables and Self-Regulated Learning Recent Publications (2020–2025) show a progression from Remote Lab applications to AI-driven Dropout Detection , with consistent focus on Competency Assessment , Active Methodologies , and ICT Integration . Her work spans Medical Education , ICT Engineering , and Interdisciplinary Sustainability projects. Scientific Awards : No specific awards mentioned in the text. Advising & Grants : Supervised Alba Llauró 's thesis on early dropout variables. Participated in numerous Teaching Innovation Projects and served on review/organizing committees for international conferences like EDUNINE , TAEE , and HCII . Labs & Teams : Core contributor to the VISIR Remote Lab studies and collaborator in the Deusto Pedagogical Framework initiatives.

• Mechatronics Engineering
• Robotics
• Control Theory and Applications
• +3 more

Aykut BİLİCİ serves as a Lecturer and Directorate Coordinator at Gaziantep University's Naci Topçuoğlu Vocational School within the Machinery and Metal Technologies Department. His academic appointments include roles as Vocational School Deputy Director (2016-2025) and Quality Board Member at Gaziantep University. His research focuses on industrial automation systems, with significant contributions in IoT applications for energy efficiency, robotics, and control theory. Publications demonstrate expertise in Arduino-based lighting optimization, stainless steel material modeling, and daylight harvesting systems. Current projects include EU-funded initiatives like 'Meeting with NEETS’ Needs in Digital Era' (2023-2024) where he serves as Project Coordinator Assistant. Key Projects: Gaziantep University Shoe Testing Laboratory Accreditation (2018-2019), 'Halıya Estetik Dokunuşlar' EU collaboration (2016-2017), Plastic Injection Mold Design (2019) Teaching portfolio spans Electrical and Automation Systems, E-Commerce, Programmable Logic Controllers, and Computer-Aided Circuit Design across 14 courses since 2014. His work bridges theoretical engineering with vocational training applications in Turkey's industrial sector.