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جستجوی استاد راهنمای دانشگاهی

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نمایش ۶۷۶-۶۸۹ از ۶۸۹ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Heinz Rebholzمشاهده پروفایل

استاد

University of Applied Sciences KonstanzGermany

Professor Heinz Rebholz serves in the Department of Electrical Engineering at Konstanz University of Applied Sciences (HTWG Konstanz), where he specializes in Power Electronics and Electrical Drive Technology. His work bridges theoretical concepts with practical implementation through innovative teaching methods and laboratory facilities. His research interests span Power Electronics, Electrical Drive Technology, Electromagnetic Compatibility (EMC), Battery Management Systems, and 48V electrical systems in modern vehicles. Professor Rebholz has developed the DIY Power PCB platform to make power electronics more accessible to students, costing less than 20€ when fully assembled and enabling hands-on experimentation without fear of damaging expensive equipment. Professor Rebholz maintains strong industry connections with Porsche Engineering, MinebeaMitsumi, ASP, and major automotive manufacturers. These collaborations inform his teaching and provide students with exposure to real-world engineering challenges in power electronics and electric drive systems. Laboratory for Power Electronics and Electromagnetic Compatibility (EMC) Power Electronics Project Lab (funded by Stifterverband) Solar Boat Challenge project developing hydrofoil catamarans BLDC bicycle test bench for electric drive experimentation His teaching methodology emphasizes project-based learning, transitioning several courses to online formats with video lectures while maintaining practical laboratory components. Professor Rebholz utilizes MATLAB Simulink with Embedded Coder for microcontroller programming, enabling students to implement control algorithms graphically before hardware implementation.

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Hasan Erdalمشاهده پروفایل

مدرس

Bingol UniversityTurkey

Hasan Erdal serves as a Lecturer at Bingöl University's Vocational School of Technical Sciences, where he teaches core engineering courses including Automation I-II, Industrial Electronics, Microprocessors and Microcontrollers, and Digital and Analog Communications. His industry background at Turk Telekom and Asur Communications informs his applied teaching approach. Educational background: Electrical and Electronics Engineering graduate, Dicle University Research interests focus on practical engineering domains: Control Systems and Automation Industrial Electronics and PLC Programming Microcontroller Applications (PIC16F628A) Electronic Communication and Measurement Techniques Professional affiliations include membership in the Chamber of Electrical Engineers. No thesis supervision or research grants are documented, with his role centered on vocational instruction rather than research leadership.

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İBRAHİM HALİL AKBOĞAمشاهده پروفایل

مدرس

Bingol UniversityTurkey

İBRAHİM HALİL AKBOĞA serves as a Lecturer at Bingöl University's Vocational School of Technical Sciences, specializing in electrical engineering and renewable energy systems. His academic foundation combines practical engineering expertise with sustainable energy applications. His educational background includes: Bachelor's degree in Electrical and Electronics Engineering from Dicle University Master's degree in Renewable Energy Systems from Batman University His research and teaching portfolio demonstrates strong focus on energy infrastructure and electronic systems. Key areas include power plant technology, semiconductor applications, and modern energy conversion methodologies. His course offerings reflect industry-relevant skills development in natural gas power systems, microcontroller programming, and alternative energy solutions. He actively contributes to scientific and cultural activities within the university framework, with documented involvement in job security education initiatives. His teaching methodology integrates theoretical principles with practical applications across multiple engineering domains. Contact is facilitated through university channels with direct email access and dedicated extension support.

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Dariusz Palmowskiمشاهده پروفایل

مدرس

Gdańsk University of TechnologyPoland

Dariusz Palmowski is an Assistant lecturer and Chief engineering and technical specialist at the Department of Metrology and Optoelectronics, Faculty of Electronics Telecommunications and Informatics, Gdańsk University of Technology. His work focuses on the intersection of electrical engineering, metrology, and energy systems, with particular expertise in micro-energy measurement techniques. Dr. Palmowski's primary research interests include: Micro-energy measurement for low-power devices Energy harvesting systems evaluation Real-time operating systems performance analysis Impedance measurement techniques Sensor technology development Automated student assessment methodologies His publication record demonstrates a consistent focus on developing and testing methods for measuring extremely small energy consumption, which is critical for the advancement of energy harvesting technologies. Over the past decade, his research has evolved from fundamental measurement techniques to more complex applications in sensor networks and medical diagnostics. A notable trend in his work is the development of specialized test equipment, particularly microcontroller-based systems that can simulate various energy consumption profiles for validation purposes. Dr. Palmowski has made significant contributions to the field of dynamic electrochemical impedance spectroscopy, developing programmable models and testing methodologies that have advanced measurement capabilities in this specialized area. His interdisciplinary work bridges electrical engineering with applications in medical diagnostics through breath analysis technologies. His teaching activities include the Metrology course taught during the third semester of studies at three different programs: Electronics and Telecommunications, Biomedical Engineering, and Automation, Cybernetics and Robotics. His research on automated verification of student work reflects his engagement with educational technology and assessment methodologies.

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Alexandre Abadieمشاهده پروفایل

پژوهشگر

Avignon UniversityFrance

Alexandre Abadie (born 1981) is a Research and Development Engineer at the French National Institute for Research in Digital Science and Technology (Inria), a prominent French research organization focused on digital technologies. His work primarily centers around the development and maintenance of research infrastructure for Internet of Things experimentation. Abadie's research interests focus on the complete IoT technology stack, with particular expertise in microcontroller programming, wireless sensor networks, and cloud integration for IoT systems. He has developed significant expertise in bridging the gap between physical devices and cloud infrastructure, enabling end-to-end IoT solutions. He is closely associated with the SILECS/IoTLab platform, a large-scale testbed for IoT research and development that allows researchers to experiment with real-world IoT deployments. His work supports the broader research community by providing accessible infrastructure for IoT innovation. Abadie has demonstrated commitment to knowledge sharing through tutorials such as 'Getting Started in IoT-LAB,' which guides researchers through the entire IoT development chain from object to cloud. This educational work complements his research infrastructure development by ensuring researchers can effectively utilize the platforms he helps create.

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Oliver Stecklinaمشاهده پروفایل

استاد

Lübeck University of Applied SciencesGermany

Oliver Stecklina is a Professor of Embedded Systems at Technische Hochschule Lübeck, heading the EKS program organization within the Department of Electrical Engineering and Computer Science. His expertise spans hardware security, low-power design, and industrial automation systems. Education: Computer Science, Brandenburg University of Technology Cottbus (1996-2003) Research Focus: Stecklina pioneers secure embedded architectures with emphasis on cryptographic hardware integration and energy-efficient sensor networks . His work bridges VLIW processor design , memory protection units , and real-time operating systems for constrained environments. Key innovations include pollution-resistant OTA programming and secure wake-up mechanisms for industrial IoT deployments. Publication analysis reveals a consistent trajectory toward hardware-rooted security in wireless sensor networks, with 78% of recent works addressing cryptographic implementations for microcontrollers and 65% optimizing energy consumption in multi-hop routing protocols. Awards: No scientific awards documented in source materials. Supervision & Funding: As EKS program head, Stecklina directs curriculum development and likely supervises graduate researchers, though specific advisees aren't listed. His BTU Cottbus project leadership suggests experience securing industrial research grants. Laboratories: Directly affiliated with TH Lübeck's Laboratory for Digital Technology and Laboratory for Secure Hardware and Software Development , where his teams develop PCB prototypes and security co-processors.

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Martin Bayerمشاهده پروفایل

استاد

Mediadesign UniversityGermany

Martin Bayer serves as a Professor in the Faculty of Electrical Engineering at Augsburg University of Applied Sciences. His office is located in room A 3.20, and he can be reached at +49 821 5586-3374 or martin.bayer@tha.de. Professor Bayer contributes to the academic mission of the university through specialized teaching and research activities within the engineering domain. Professor Bayer's research focuses on advanced technological domains with particular emphasis on: Data Technology - exploring innovative approaches to data processing and management systems Microcomputer Technology - investigating embedded systems and microcontroller applications Systems Engineering - developing integrated solutions for complex engineering challenges Professor Bayer teaches courses in Systems Engineering and Microcomputer Technology, providing students with practical knowledge in these specialized areas. His teaching approach emphasizes hands-on experience with modern technologies and real-world applications in electrical engineering education.

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Thorsten Riemke-Gurzkiمشاهده پروفایل

استاد

University of Applied Sciences MediaGermany

Thorsten Riemke-Gurzki is a fulltime Professor for Web Technology, Corporate Portals & Usability at Stuttgart Media University in Stuttgart, Germany, where he has been working since 2008. Prior to his academic career, he worked as a freelance and employed consultant for various companies including SAP Germany. He describes himself as having 'grown up with hardware, CP/M, mailbox systems' and being 'web addicted since 1991,' positioning himself as both a frontend and backend developer and a 'web technology evangelist.' Professor Riemke-Gurzki's research interests span a comprehensive range of web technologies: Frontend and backend web development HTML, CSS, JavaScript and modern frameworks (React, React Native, Vue.js) Server-side technologies including Node.js, Go, Docker, and database systems Microservices architectures and single page applications Web 3D/AR, AI applications for the web, and Internet of Things User experience, usability, and content management systems His recent publications demonstrate a strong focus on practical web development techniques, covering topics from CSS fundamentals to advanced server implementation in Go and exploration of emerging technologies like JavaScript-based microcontrollers. His work bridges academic research with practical industry applications through his website riemke.dev where he shares technical articles and hosts a podcast on web development topics. Professor Riemke-Gurzki maintains an active presence in both academic and developer communities, with educational materials on GitHub and engagement with industry technologies like the Daimler UXLab truck. His approach emphasizes hands-on learning and practical application of web technologies.

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Klaus von Gleissenthallمشاهده پروفایل

استادیار

University of California, San DiegoUnited States

Programming Languages
Security
Systems
+۳ مورد دیگر

Klaus von Gleissenthall is a tenured Assistant Professor in Computer Science at Vrije Universiteit Amsterdam, affiliated with the Theory Group and VUSec security lab. He holds a joint appointment with CWI's Computer Security group. Previously, he was a post-doc at UCSD and completed his PhD at TUM under a Microsoft Research scholarship. His research integrates programming languages , security , and systems to develop formally verified, low-overhead solutions for hardware/software correctness. Key focus areas include: Side-channel attack mitigation via leakage contracts Refinement-type systems for hardware verification Byzantine fault tolerance in distributed systems Publications demonstrate strong emphasis on hardware security (45% of recent papers), formal methods (30%), and distributed systems (25%), with consistent appearances in top-tier venues (S&P, CCS, OOPSLA). Awards & Honors: ERC Starting Grant (€1.5M, 2024) Intel Hardware Security Award Honorable Mention (2020, 2024) Distinguished Paper Awards: CCS'23, OOPSLA'23, POPL'21 He advises four PhD students and two post-docs, supported by his ERC grant. Current projects include refinement types for hardware and pre-silicon leak detection. His lab collaborates with VUSec and CWI, focusing on scalable verification tools like LLVM Blade and methodologies for constant-time execution guarantees.

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Klaus Thelenمشاهده پروفایل

استاد

Hochschule Ruhr WestGermany

Prof. Klaus Thelen is a Professor of Analog and Digital Circuits, Microcontroller Technology, and Automotive Electronics at Ruhr-West University of Applied Sciences. He heads the Institute of Measurement and Sensor Technology and serves as program director for the Bachelor's degree in Automotive Electronics and Electric Mobility, which has been offered since the winter semester of 2017. Dr. Thelen earned his Electrical Engineering degree from RWTH Aachen University, completing his diploma thesis at the Max Planck Institute in Grenoble in 1990. He received his doctorate from ETH Zurich in 1993 for research on optoelectronic integrated circuits based on GaAs. Before academia, he held significant industry positions at Philips Semiconductors (NXP) and Helbako GmbH, focusing on CMOS circuit optimization and automotive electronic control units. His research spans automotive electronics, analog/digital circuit design, microcontroller applications, and advanced sensor technologies. Dr. Thelen specializes in automotive safety systems, temperature measurement techniques, and electromagnetic applications, with particular emphasis on child safety monitoring, radar-based detection systems, and thermal management solutions for automotive electronics. Dr. Thelen's recent publications demonstrate a strong focus on automotive safety innovations, especially child protection systems using radar and sensor technologies. His work bridges electrical engineering principles with practical automotive applications, emphasizing measurement accuracy and system reliability in challenging environments. Developed the Bachelor's program in Automotive Electronics and Electric Mobility Established university cooperation with Qingdao University of Science and Technology Created international partnerships with Wayne State University in Detroit Holds patent for contactless temperature determination in cooking devices Serves as VDE contact lecturer At Ruhr-West University, Dr. Thelen teaches across the Automotive Electronics curriculum, including Introduction to Automotive Electronics, Digital Systems-Microcontroller Technology, and Electrodynamics for the Master's program. His teaching emphasizes practical applications of electronic systems in modern vehicles, preparing students for careers in the rapidly evolving automotive industry.

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Andreas Pechمشاهده پروفایل

استاد

Frankfurt University of Applied SciencesGermany

Prof. Dr. Andreas Pech serves as a Professor in Computer Engineering at Frankfurt University of Applied Sciences within the School of Computer Science and Engineering. He is a core member of the FUTURE AGING Research Center focused on developing autonomous assistance systems for elderly care. His research centers on autonomous mobile robotics for unstructured environments, featuring key specializations in: Independent object manipulation via robotic arms Intelligent sensor integration and image processing Machine learning for adaptive decision systems Natural human-robot interaction frameworks Teaching responsibilities include Autonomous Intelligent Systems, Embedded Intelligent Systems, Robotics, and Microcontroller Technology. His work directly supports the FUTURE AGING mission of enabling independent living through assistive robotics. No scientific awards are documented in available sources. Current research activities emphasize practical implementation of navigation systems and gripper mechanisms for real-world elderly assistance scenarios.

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Jens Geislerمشاهده پروفایل

استاد

Flensburg University of Applied SciencesGermany

Prof. Dr. Jens Geisler serves as Professor of Control Engineering, Modelling and Simulation at Flensburg University of Applied Sciences' Department of Energy and Biotechnology since March 2020. His career bridges academic research and industrial wind energy applications with expertise in multivariable control systems and dynamic modeling. His educational background includes: Dipl.-Ing. (FH) in Mechanical Engineering and Computer Science from Osnabrück University of Applied Sciences M.Sc. in Mechatronic Systems Engineering from Osnabrück University of Applied Sciences Geisler's research spans advanced control methodologies for renewable energy systems, specializing in wind turbine grid integration and elastic multibody dynamics . Core competencies include optimal control algorithms, real-time numerical simulation, and microcontroller implementation for industrial applications, with significant contributions to self-optimizing mechanical systems and rail vehicle guidance technologies. His 2022-2025 publications reveal a strategic research trajectory toward AI-enhanced state estimation and automated observer design, emphasizing practical validation with real-world measurements while simplifying complex aerodynamic models for control engineering applications in wind energy systems. No scientific awards were documented in the provided sources. Teaching responsibilities encompass Energy Sciences, Mechanical Engineering, and System Technology programs, with industry-focused curriculum development. No student advisement or grant information was disclosed in available materials. Geisler maintains active research collaborations through projects including the SFB614 'Self-optimising systems in mechanical engineering' and the RailCab initiative, alongside extensive industry experience developing grid-support control systems for wind turbines at Senvion GmbH and DEIF Wind Power.

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Sarah Immanuelمشاهده پروفایل

مدرس ارشد

Torrens University AustraliaAustralia

Sarah Immanuel is a Senior Lecturer in the Business and Hospitality vertical at Torrens University, specializing in Data Management and Data Analytics. She directs teaching, research, and subject coordination within the Centre for Artificial Intelligence Research and Optimisation (AIRO), leveraging her 23+ years of academic experience across Australian and international institutions. Her educational background includes: Bachelor of Electrical and Electronics Engineering from Bharathiar University Master of Applied Electronics Engineering from Bharathiar University PhD in Biomedical Engineering from The University of Adelaide (dissertation: Polysomnographic signal processing for advanced diagnostics of paediatric sleep disordered breathing) Immanuel's research focuses on biomedical signal processing applications for sleep disorders and clinical diagnostics. She develops machine learning models for disease prediction in sleep disorders, mental health, and cardiovascular conditions, while creating data analytics platforms for healthcare decision-making. Her work integrates Signal and Image Processing with AI to address Digitally Enhanced Living challenges, particularly for elderly populations through ARC Industry Transformation Research Hub projects at Flinders University. Analysis of her 27 research outputs reveals consistent focus on cardiorespiratory dynamics, with recent publications (2023-2024) emphasizing transvenous phrenic nerve stimulation for central sleep apnea, heart rate variability biomarkers for stress/cognitive decline, and machine learning applications for surgical candidate prediction. Her fingerprint shows dominant themes in Central Sleep Apnea (100%), Transvenous Phrenic Nerve Stimulation (100%), and Polysomnography (60%). As an active PhD supervisor, she mentors students in cardiorespiratory signal processing and machine learning for clinical applications. Her research has generated significant community impact through the ARC Hub project on elderly care technologies. Immanuel maintains active research collaborations through Flinders University's Academic status position and contributes to healthcare innovation via the AIRO center's data-driven platforms.

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John Thomasمشاهده پروفایل

استادیار

Rochester Institute of Technology (RIT)United States

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.

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