Find Academic Supervisors

Ralf SalomonView profile

Professor

• Embedded Systems
• Localization and Positioning
• Time Interval Measurement
• +12 more

Ralf Salomon is a Professor at the Faculty of Computer Science and Electrical Engineering , University of Rostock , Germany. He holds the title of Prof. Dr.-Ing. habil. and is actively involved in research and teaching in embedded systems, localization, and signal processing. University: University of Rostock School: Faculty of Computer Science and Electrical Engineering Position: Full Professor Contact: Room 201, Tel: +49 381 498 7260 His research focuses on high-precision time measurement , ambient assisted living , industrial embedded systems , and localization technologies . He applies bio-inspired principles, particularly from the barn owl auditory system, to develop low-cost, high-accuracy systems. His work spans health monitoring (e.g., fall detection, cochlear implants), sports technology, and animal experimentation systems. The recent publications (2020–2025) show a strong trend in sensor systems , embedded vision , and real-time measurement , with applications in sports, healthcare, and automation. His work combines theoretical innovation with practical implementation, often using FPGAs and microcontrollers. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He advises students such as Theo Gabloffsky , who co-authors multiple publications and assists in teaching. He has led multiple funded projects including Welisa (DFG Graduate College) , iHeal , CurlDat , and BOUNCE . Many of his projects focus on health, localization, and embedded intelligence. Labs and Teams: He collaborates closely with researchers like Ralf Joost , Matthias Hinkfoth , Gerald Bieber , and Marian Lüder . His team develops FPGA-based systems, embedded sensors, and intelligent algorithms for real-world applications in health, industry, and sports.

• Cloud Computing
• Peer-to-Peer Systems
• Distributed Networks
• +12 more

Felix Urs Erich Freitag is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, where he actively contributes to projects in cloud computing, peer-to-peer systems, and IoT networking. His primary research interests include Cloud Computing , Peer-to-Peer (P2P) Systems , Internet of Things (IoT) , LoRa Mesh Networks , Federated Learning , Edge Computing , and Blockchain for IoT . His work spans from fundamental networking protocols to applied research on decentralized systems and sustainable digital technologies. He has also contributed to educational innovation through open project-based learning methodologies. Dr. Freitag's recent publications highlight a strong focus on integrating AI with low-power IoT networks, particularly using LoRa technology for federated learning and secure, decentralized identity solutions. His work demonstrates a clear trend towards enabling intelligent, trustworthy, and resource-efficient distributed systems at the network edge. Scientific Awards: 1er Premi UPC de Ciència Oberta 2024 He has been involved in significant research and innovation projects, including European H2020 and Horizon Europe initiatives, often in collaboration with colleagues like Leandro Navarro and Roque Meseguer. His research is supported by competitive grants focused on digital, industry, and space technologies. He also contributes to educational innovation projects and has supervised student theses, fostering a collaborative research environment within the UPC. His work is associated with the development of experimental testbeds and software libraries for LoRa mesh networks and federated learning, indicating a hands-on approach to building and validating distributed systems.

Ingo A. MüllerView profile

Professor

• Optical Sensors
• MIMO Systems
• Sensor Technology
• +6 more

Prof. Dr.-Ing. Ingo A. Müller is a full-time Professor in the Department of Electrical Engineering and Computer Science at Wismar University of Applied Sciences , where he also serves as Dean of the Faculty of Engineering. His academic work spans teaching modules such as Bauelemente und Schaltungen , Mikrocontrollertechnik , and Schaltkreisentwurf , alongside extensive research in optical fiber sensors , MIMO systems , and sensor technology . Research Focus : Development of miniature all-glass fiber optic sensors for biomedical and industrial applications Optical sensor systems for high-temperature environments (e.g., geothermal wells, exhaust gas flows) Innovations in EFPI-FBG hybrid sensors for simultaneous pressure-temperature measurement Applications of digital light processing in optical communication Key Publications : His work from 2009–2021 reveals trends in fiber optic sensing for harsh environments, MIMO transmission systems , and feedback control mechanisms for sensor stabilization, with a focus on practical implementations in biomedical and industrial contexts. Scientific Achievements : Recipient of the Best Paper Award at EWOFS 2010 Contributor to patents in fiber optic pressure sensing (2010, 1990) Active in international collaborations (Tokyo University of Science, 2006) Laboratory Infrastructure : He oversees labs in Electronic Components and Circuits , Microcontroller Technology , and Circuit Design , supporting both educational and research activities.

Shuai ZhaoView profile

Assistant Professor

• Power Electronics
• Reliability Engineering
• Machine Learning
• +4 more

Shuai Zhao is an Assistant Professor at the AAU Energy Department, Faculty of Engineering and Science, Aalborg University. His research focuses on applying machine learning and artificial intelligence techniques to enhance reliability and condition monitoring in power electronic systems, with specific interests in lifetime estimation, fault diagnosis, and health management of critical components like capacitors and semiconductor devices. Institution: Aalborg University School: Faculty of Engineering and Science Department: AAU Energy Email: szh@energy.aau.dk His research spans multiple domains including: Physics-informed machine learning for power converter systems Remaining useful life prediction with hybrid Bayesian deep learning Thermal transient analysis and stress emulation methods IoT-enabled monitoring schemes for semiconductor devices Neural network applications in lithium-ion battery prognostics Recent publications show a strong trend toward integrating domain-specific physics with machine learning frameworks to address real-world challenges in: Power electronics reliability under operational stress Anomaly detection in multivariate time-series data Robust fault diagnosis for railway traction systems Temperature estimation in electric vehicle motors Imbalanced data handling in diagnostic systems Capacitance degradation modeling under environmental factors Current projects demonstrate collaboration with leading institutions on: AI-assisted long-term maintenance strategies Physics-informed neural network architectures Smart agricultural monitoring systems via IoT platforms Advanced particle filter methods for life prediction

Emmanuel BaccelliView profile

Professor

• Internet of Things (IoT)
• Low-power protocols
• Network security
• +5 more

Emmanuel Baccelli is a Professor for "Open and Secure IoT Ecosystem" at Freie Universität Berlin since September 2019, holding a joint position with Inria and the Einstein Center Digital Future (ECDF). He is also a scientific researcher at Inria since 2007 and co-founder/coordinator of the RIOT open source operating system for IoT devices since 2013. His research focuses on the intersection of low-power protocols, deeply embedded open source software, and security in the Internet of Things (IoT) ecosystem. Baccelli emphasizes the critical trade-off between energy efficiency and security in IoT systems, advocating for privacy-by-design principles and open specifications. His work addresses how users can maintain control over their systems and data in an increasingly connected world. Baccelli's publications demonstrate a clear progression toward secure, efficient IoT systems with recent work focusing on secure firmware updates, TinyML deployment, and privacy-preserving protocols. His research spans from foundational networking protocols to practical implementations for constrained devices, with a consistent emphasis on open source solutions and security-by-design. Baccelli completed his PhD in 2006 at École Polytechnique in Paris on "Routing and Mobility in Large Packet-Based Networks" and received his habilitation from Université Pierre et Marie Curie in 2012. He previously served as a Guest Professor at Freie Universität Berlin in 2013-2014 with a DAAD Grant. His professional activities include significant contributions to IETF standards, particularly RFCs related to routing protocols for low-power networks. Baccelli's research has practical applications across multiple domains including healthcare, smart agriculture, and industrial IoT systems, where security and energy efficiency are paramount concerns.

• Control Systems
• Motor Control
• Autonomous Vehicles
• +4 more

Ramprasad Potluri is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), where he has been contributing to control systems research and education. His academic journey includes a PhD from the University of Kentucky, USA (2003) and a Master of Science in Electrical Engineering from Saint Petersburg State Technical University, Russia (1996). Dr. Potluri's research focuses on the practical applications of Control Systems theory, with particular emphasis on motor control, autonomous vehicle navigation, and fault-tolerant systems. His work bridges theoretical control concepts with real-world engineering applications, making significant contributions to both academic research and educational practices in the field. His publication record from 2011-2015 demonstrates a strong focus on applying control theory to practical engineering challenges, particularly in the domains of electric vehicles, robotic systems, and educational laboratory development. His research shows consistent progression from theoretical foundations toward increasingly complex real-world applications, with a notable emphasis on making advanced control systems accessible through low-cost educational platforms. Best Teaching Assistant award recipient Manavaalan Gunasekaran developed the new Control Systems Laboratory under his guidance Jitendra Bharadwaj, working with Dr. Potluri and Dr. KS Venkatesh, received a first prize at Techkriti (IIT Kanpur technology festival) His laboratory work in Western Labs 217A focuses on developing practical control systems experiments that make advanced control concepts accessible to undergraduate students, complementing his research on advanced control applications in autonomous vehicles and robotics.

• Computer Architecture
• Parallel Processing
• FPGA Design
• +3 more

Frank Hannig is a Professor at the University of Erlangen-Nuremberg, Germany, specializing in computer architecture and high-performance computing. His research focuses on FPGA acceleration, hardware-software co-design, neural network optimization, and embedded systems. He has collaborated extensively with co-authors such as Jürgen Teich and Oliver Reiche, producing over 200 publications since 2001. His work emphasizes domain-specific languages (DSLs) for image processing (e.g., Hipacc) and compiler optimizations for FPGAs. Key contributions include techniques for quantized neural networks on microcontrollers, CGRA toolchain evaluation, and efficient mapping of CNNs onto processor arrays. Hannig also explores energy-efficient architectures and reconfigurable computing for emerging applications like edge AI and automotive systems. Publications span conferences like ASAP, FPL, and ARC, reflecting his interdisciplinary approach to bridging algorithm design and hardware implementation. His research often addresses practical challenges in deploying machine learning models on resource-constrained devices while maintaining performance and energy efficiency.

Sam AmiriView profile

Lecturer

• Embedded Systems
• Hardware Design
• Signal Processing
• +3 more

Sam Amiri is a Lecturer in Microelectronics / Embedded Electronics at Loughborough University. He holds a BSc in Software Engineering (2007, Iran), M.Sc. in Embedded Systems (2010, Masaryk University), and Ph.D. in Electrical/Electronic Engineering (2014, Masaryk University). Prior to his current role, he worked as a Researcher at Queen’s University Belfast (2015-2017) and the University of Bristol (2017-2018). His research focuses on hardware design, embedded systems, signal/image processing, and FPGA-based solutions for real-time systems. Key research areas include intrusion detection systems for vehicular networks using binarized neural networks, RISC-V processor optimization for neural networks, and FPGA-based acceleration of CNN models. His work also explores reliability engineering in wind turbine drivetrains and heterogeneous computing architectures combining FPGAs with CPUs. Publications span topics like embedded cybersecurity, low-power edge computing, and hardware-software co-design for real-time applications. His recent work emphasizes lightweight neural networks on constrained hardware and fault tolerance in aerospace systems. No specific awards or grants are listed in the provided information.

Kadir VardarView profile

Associate Professor

• Power Electronics
• Embedded Systems
• Renewable Energy Systems (PV)
• +3 more

Assoc. Prof. Dr. Kadir Vardar is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Dumlupınar University. He has held academic and administrative roles since 2012, including Vice President of Department (2015–2019). His research focuses on power electronics, embedded systems, renewable energy, and neural network applications in control systems. Education: BSc (2001) and MSc (2004) from Dumlupınar University; PhD (2011, English Program) from Dokuz Eylül University. Projects: Over 15 projects, including TÜBİTAK-funded initiatives on smart home automation, PV inverters, and embedded HIL simulators. Awards: 2011 Dokuz Eylül University Doctoral Publication Honor Award; 2001 Department First Place at Dumlupınar University. Research interests span power electronics (inverters, active filters), renewable energy systems (PV), and embedded systems (STM32, microcontrollers). He has published 29 articles and supervised multiple theses. Current courses include Power Electronics, Advanced Microcontrollers, and System Programming.

Stephen PierceView profile

Professor

• Robotics and Autonomous Systems
• Non-Destructive Testing and Evaluation (NDT&E)
• Ultrasonics
• +7 more

Professor Stephen Pierce is a faculty member in the Department of Electronic and Electrical Engineering at the University of Strathclyde, within the Faculty of Engineering. He serves as Co-Director of the Centre for Ultrasonic Engineering and holds the Spirit Aerosystems/Royal Academy of Engineering Research Chair in 'In-process inspection of Aerospace Structures'. He leads the SEARCH (Sensor Enabled Automation, Robotics & Control Hub), a £50M applied NDT technology transfer laboratory. Co-Director, Centre for Ultrasonic Engineering Academic Director, UK Research Centre in Non-Destructive Evaluation (RCNDE) Robotics & Autonomous Systems Lead Coordinator, University of Strathclyde Chair, SRPe Robotics and Autonomous Systems Thematic Leadership Group Visiting Professor, Högskolan Väst, Sweden His research integrates robotics, ultrasonics, AI, and instrumentation for Non-Destructive Testing & Evaluation (NDT&E) and Structural Health Monitoring (SHM). His work supports Industry 4.0 and sustainable manufacturing across aerospace, energy, nuclear, and healthcare sectors. His recent publications emphasize AI-driven ultrasonic data analysis, robotic inspection systems, and real-time monitoring in composite and additive manufacturing. Key trends include deep learning for defect detection, human-machine collaboration in inspection, and probabilistic sensor fusion for robotic positioning. Anne Birt Award 2023 BINDT Annual Conference Award 2019 Knowledge Exchange Award 2016 John Grimwade Medal 2015 He supervises major research projects funded by EPSRC, Innovate UK, and industry partners, with a focus on technology transfer and industrial collaboration. His leadership in RCNDE and SEARCH demonstrates strong grant acquisition and interdisciplinary team management. He teaches Instrumentation & Microcontrollers (EE312) and contributes to Advanced Systems Engineering (EM502). The SEARCH laboratory operates across two sites: Royal College R2.41 (manufacturing applications) and Technology Innovation Centre TIC 7.14 (asset management), focusing on physical sensors, robotic deployment, and AI-based data interpretation.

• Electromagnetic Compatibility
• Power Electronics
• Signal Processing
• +3 more

Markeljan Fishta is a Researcher at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. His roles include teaching assistance in courses such as PCB Design for PhD students, Analog Electronics for Master’s students, and Foundations of Electronics for Aerospace Engineering undergraduates. His research focuses on electromagnetic compatibility (EMC), power electronics, and wireless communication systems, particularly in reducing electromagnetic interference (EMI) in power converters and developing acoustic-based communication for smart water networks. His recent work emphasizes EMI mitigation techniques in wide bandgap (WBG) inverters, GaN-based DC-DC converters, and sigma-delta modulators. Additionally, he explores in-pipe acoustic communication for urban water infrastructure, addressing challenges in channel modeling and data transmission reliability. Fishta collaborates with researchers like Franco Fiori and Erica Raviola on these topics, contributing to both theoretical advancements and applied solutions. His publications reflect a multidisciplinary approach, spanning IEEE Transactions on Electromagnetic Compatibility and international workshops. His research trends show a strong emphasis on source-based EMI reduction strategies, robust modulator design, and innovative communication methods for infrastructure monitoring. Fishta’s teaching contributions span multiple engineering programs, demonstrating his commitment to both academic instruction and cutting-edge research in electronic systems and communication technologies.

Rabah AoufiView profile

Senior Lecturer

• Digital Signal Processing
• Microcontroller Systems
• Control Systems
• +3 more

Rabah Aoufi is a Senior Lecturer in the Department of Engineering Technology & Industrial Distribution at the College of Engineering, Texas A&M University. His primary affiliation includes the Electronic Systems Engineering Technology program. He can be reached at raoufi@tamu.edu and is located in FERM 304AA. His work focuses on digital signal processing, microcontroller systems, control systems, and engineering entrepreneurship. Research interests span embedded systems design, real-time data processing, and innovative educational projects. His publications reflect expertise in both foundational engineering principles (e.g., signal processing fundamentals) and applied technologies (e.g., microcontroller programming and big data frameworks). His articles demonstrate a career-long engagement with evolving technologies—from foundational 1980s multiprocessor architectures to modern big data systems. No scientific awards or grants are explicitly mentioned in the provided materials.

• Computer Science Education
• Educational Technology
• Virtual Reality
• +5 more

Patrik Voštinár is an Assistant Professor at the Department of Computer Science , Faculty of Natural Sciences , Matej Bel University . Holding a PhD in Applied Computer Science from the same university (2014-2017), he teaches courses in Programming , Discrete Mathematics , Web Technologies , and Android Programming . As department head and study advisor, he actively shapes academic programs and student experiences. Matej Bel University (2017-present) Department of Computer Science Faculty of Natural Sciences His research focuses on computer science education and educational technology , with particular emphasis on: VR/AR applications in teaching Game-based learning environments Microcontroller programming pedagogy Mobile application development education Physical computing tools for K-12 Adaptive learning interfaces His work with MakeCode , micro:bit , and EEG-controlled games demonstrates innovative approaches to programming education. He has received multiple eLearning competition awards for educational courseware development. Heart on the palm (Project of the year 2019) 2nd price in eLearning competition (2023) for Discrete Mathematics course Price of České společnosti pro systémovou integraci (2023) for Web Technologies 1st price in eLearning competition (2023) for Geometry Didactics Voštinár actively contributes to academic communities through: Membership in DIDINFO conference program (since 2017) Editorial Board member of Elementary Mathematics Education Journal Organizing workshops for primary/secondary students Popularizing informatics through extracurricular programs

Konstantinos G. ArvanitisView profile

Professor

• Electrification
• Automation
• Digitalization in Agriculture
• +23 more

Konstantinos G. Arvanitis is a Professor in the Department of Natural Resources Management & Agricultural Engineering at the Agricultural University of Athens, affiliated with the Agricultural Engineering Laboratory. He holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens and has held diverse research and teaching roles across Greek institutions. Teaches courses on electrical engineering, sensors, automation, and AI in agriculture Supervised 2 PhD, 9 MSc theses, and guides 6 ongoing PhD projects Member of FEANI, EurAgEng, and IFAC Technical Committee (2000-2017) His research integrates IoT, machine learning, and cyber-physical systems into agricultural practices, focusing on precision agriculture and sustainability. He contributes to editorial boards of journals like Sensors and Energy , and has published over 342 technical works with significant citation metrics. His recent work explores quantum technologies, edge computing, and 3D printing in agricultural systems, emphasizing energy efficiency and educational innovation. He actively reviews for 130+ journals and conferences.

Giovanni SquilleroView profile

Professor

• Artificial Intelligence
• Soft Computing
• Evolutionary Algorithms
• +7 more

Giovanni Squillero is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He leads the CAD group (Electronic CAD & Reliability) and serves on Politecnico's Joint Committee for Teaching and Ph.D. Steering Committee (Pure and Applied Mathematics).