جست‌وجوی استاد و پژوهشگر

• Computer Graphics
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Shilin Zhu is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, San Diego's Jacobs School of Engineering. Having completed their PhD at UCSD in 2021 with a dissertation titled 'Computing Images with Diverse Illumination Effects,' Zhu has established a prolific research career spanning computer graphics, computer vision, and machine learning. Zhu's research interests center around advanced rendering techniques, autonomous driving perception systems, privacy-preserving technologies, and wireless localization. Their work bridges theoretical computer science with practical applications, particularly in developing robust systems for challenging environments like foggy weather for autonomous vehicles and creating privacy-preserving solutions using smart LED technology. Zhu has made significant contributions to neural rendering, particularly in photon mapping and denoising techniques that improve the efficiency and quality of computer-generated imagery. Analysis of Zhu's publication record shows a clear progression from foundational work in rendering and computer vision during their PhD studies to increasingly applied research in autonomous systems and privacy technologies. Their most recent work demonstrates a growing interest in interdisciplinary applications, including agricultural technology and bioinformatics, while maintaining technical depth in core computer science areas. The research consistently features innovative applications of deep learning to traditional computer graphics and vision problems. Zhu has collaborated extensively with leading researchers in the field, including Zexiang Xu, Hao Su, Ravi Ramamoorthi, and Henrik Wann Jensen, reflecting strong integration within the computer graphics and vision research communities. Their work has appeared in top-tier venues including SIGGRAPH, CVPR, and ACM Transactions on Graphics.

Pramod Mahajanمشاهده پروفایل

پژوهشگر

• Postharvest Technology
• Mathematical Modelling
• Food Packaging
• +۳ مورد دیگر

Dr. Pramod Mahajan is a Senior Scientist and Working Group Leader for Packaging & Storage at the Department of System Process Engineering, Leibniz Institute for Agricultural Engineering Potsdam-Bornim (ATB). He also holds a Visiting Professor position at Mae Fah Luang University, Thailand. His work focuses on postharvest technology, mathematical modeling of packaging systems, and sustainable food storage solutions. Mahajan has extensive experience in developing innovative packaging materials, gas control systems, and sensor technologies for fresh produce preservation. Education: Ph.D. (Post Harvest & Food Engineering) from IIT Kharagpur (2002), M.Tech. (Post Harvest Engineering) from IIT Kharagpur (2010), B.Tech. (Agricultural Engineering) from Punjabrao Krishi Vidyapeeth (1996). Research Areas: Modified atmosphere packaging (MAP), ethylene dynamics, condensation management, and digital twins for cold chain optimization. Key projects include NOVISHPAK (biodegradable packaging for fish), Fruity-Twin (condensation management in apple storage), and EthyModel (ethylene modeling in perforated packaging). His research emphasizes integrating IoT, machine learning, and predictive modeling to enhance food supply chain efficiency.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Jian Chen is a prolific academic researcher with affiliations across multiple institutions worldwide, primarily in China but also including international universities. The DBLP disambiguation page lists 47 distinct individuals with this name, working in various departments including Computer Science, Electrical Engineering, Telecommunications Engineering, and other technical fields at prestigious institutions such as Zhejiang University, Xidian University, Northeastern University, and Ohio State University. Research interests span a wide range of technical domains including artificial intelligence, machine learning, computer vision, network security, medical imaging, and electrical engineering. Recent publications indicate active research in deep learning applications, image processing, trajectory analysis, and biomedical informatics. The publication output is substantial, with numerous papers appearing in IEEE Access, Pattern Recognition, and other high-impact journals. The research trends show a strong focus on practical AI applications across multiple domains, with particular emphasis on medical imaging, network security, and intelligent control systems. Many publications involve collaborative work with researchers across different institutions, indicating an active research network. While specific awards are not listed in the provided DBLP information, the volume and quality of publications suggest recognition within the academic community. The research output demonstrates expertise in both theoretical development and practical implementation of computational methods. Jian Chen appears to be actively mentoring students, as evidenced by the numerous collaborative publications, though specific student names aren't detailed in the DBLP records. The research spans both fundamental algorithm development and applied problem-solving across various engineering and computer science domains.

Miriam Föller-Nordمشاهده پروفایل

استاد

• Embedded Systems
• Medical Informatics
• IoT/Industry 4.0
• +۳ مورد دیگر

Prof. Miriam Föller-Nord is the Dean of the Faculty of Computer Science at Mannheim University of Applied Sciences since March 2014. She has held academic positions since 2004, including leading the Institute for Embedded and Mobile Computing (2008–2015). Her research focuses on Embedded Systems, IoT/Industry 4.0, Medical Technology, and Networking. She advises students on topics such as Mobile Systems, IoT, and MedTech. Education: Postdoctoral research at the German Cancer Research Center (1997–1998) in medical physics, developing Multileaf Collimators for radiation therapy. Professional Highlights: Prior to academia, she worked at Siemens Medical Solutions (2003–2004) and MRC Systems GmbH (1999–2002), leading projects in embedded systems and medical device software. Her expertise includes real-time microcontroller programming and software development in C++/Visual Basic. Leadership Roles: As Dean, she oversees faculty operations and collaborates on initiatives like the MARS Center for Entrepreneurship. She also served as Program Leader for the Institute of Embedded and Mobile Computing, driving interdisciplinary research in IoT and Industry 4.0 applications. Labs/Teams: Former director of the Institute for Embedded and Mobile Computing, fostering innovation in medical embedded systems and IoT.

Johannes Bauerمشاهده پروفایل

استاد

• Applied Cryptography
• Embedded Systems Security
• Vulnerability Assessment
• +۷ مورد دیگر

Prof. Johannes Bauer is a Professor of Computer Science at Cooperative State University Mannheim (DHBW Mannheim) since 2022. He holds a Ph.D. in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg (2016), focusing on cost-effective security measures for embedded systems. His research spans applied cryptography, vulnerability assessment, side-channel analysis, and hardware security modules (HSMs). Professional Experience: 2022–Present: Professor at DHBW Mannheim 2018–2021: Principal Designated Engineer for cybersecurity standards at Underwriters Laboratories 2016–2018: Product Security Officer at Robert Bosch Smart Home GmbH Research Interests: Embedded systems security Physical-layer attacks and covert channels Cold-boot attacks and memory forensics Hardware-software co-design for security Smart grid cybersecurity Publications Highlight: His 2016 Ph.D. thesis introduced novel methods for timing side-channel detection and anti-EMI feature abuse. Recent work includes analyzing demand response capabilities in smart grids (2019). Labs/Teams: Active in cybersecurity research groups, contributing to standards like ETSI EN 303 645 and UL MCV 1376. Collaborates with industry partners on embedded system hardening.

Jonathan Larochelleمشاهده پروفایل

پژوهشگر

• Sustainable Electronics
• Internet of Things (IoT)
• Embedded Systems
• +۴ مورد دیگر

Jonathan Larochelle is a Researcher and Academic Staff member at the Faculty of Mechanical Engineering and Mechatronics, Karlsruhe University of Applied Sciences, Germany, where he contributes to Prof. Laura Maria Comella's Lab for Intelligent Embedded Systems. He holds a M.Sc. in Microsystems Engineering from the University of Freiburg (2020–2023) and a B.Eng. in Engineering Physics from Université Laval, Canada (2015–2019). His research focuses on sustainable electronics within the circular economy, particularly IoT devices and embedded systems, with an emphasis on low-power machine learning and environmental sensing applications. Key projects include the Brain-MEP initiative for developing ultra-low-power neurostimulation devices through optimized ML algorithms and a novel optical sensor with adjustable field-of-view for environmental monitoring. His work integrates sustainability principles with technological innovation, collaborating with medical centers and agricultural partners like the Kompetenzzentrum Obstbau Bodensee. Recent publications highlight advancements in EEG seizure detection algorithms and energy-efficient sensor technologies. He maintains active engagement with interdisciplinary research and critical perspectives on technology's societal impacts, evident in his engagement with sustainability-focused media and open-source contributions. Larochelle is affiliated with the Laboratory for Intelligent Embedded Systems (HKA-IES) and has held roles as Scientific Staff and Teaching Assistant at the University of Freiburg's Microsystems Engineering department. His technical expertise spans embedded system design, signal processing, and low-power hardware optimization.

Joachim Beckerمشاهده پروفایل

مدرس

• Microelectronics
• Analog Circuit Design
• CMOS Technology
• +۳ مورد دیگر

Joachim Becker is a Lecturer at the Institute of Microelectronics, part of the Faculty of Engineering, Computer Science and Psychology at the University of Ulm. He teaches multiple courses in the Summer semester 2025 including Signal Processing , Mixed-signal CMOS Chip Design , Analog Circuits , and Microcontroller Project . His expertise spans microelectronics with a focus on analog circuit design, integrated systems, and CMOS technologies. Research interests include advanced signal processing techniques, mixed-signal system design, and video technology applications. Though no specific awards or grants are listed, his active teaching involvement suggests ongoing contributions to engineering education.

Manuel Keßlerمشاهده پروفایل

استاد مدعو

• Helicopter Aeromechanics
• Aeroacoustics
• High-Fidelity CFD Simulation
• +۳ مورد دیگر

Manuel Keßler is an apl. Prof. Dr. and Adjunct Professor at the University of Stuttgart's Institute of Aerodynamics and Gas Dynamics , serving as Deputy Head of the Institute and Head of the Helicopters and Aeroacoustics working group. His research focuses on Helicopter Aeromechanics , Aeroacoustics , and High-Fidelity CFD Simulations . He leads projects involving rotorcraft noise reduction, computational fluid dynamics validation, and advanced simulation frameworks like the FLOWer solver. His work integrates experimental and numerical methods, with applications in compound helicopters (e.g., Airbus Helicopters' RACER), eVTOL systems (Volocopter), and distributed propulsion demonstrators. Keßler's technical expertise includes programming in C++, Python, and various assemblers, alongside experience with microcontroller systems (AVR, ARM7, etc.). He oversees the Institute's HPC-cluster (Prandtl) and teaches courses on Fluid Mechanics, Aeroacoustics, and programming optimization. His research spans rotor-fuselage interactions, dynamic stall mitigation, and aeroelastic phenomena, with a strong emphasis on validating numerical models against flight-test data. Notable contributions include numerical investigations of noise sources in distributed propulsion systems, CFD simulations of rotorcraft in ground effect, and aeroacoustic studies of counter-rotating open rotors. His interdisciplinary approach bridges computational methods with real-world engineering challenges, advancing rotorcraft design and noise mitigation strategies.

Iman Rusmanaمشاهده پروفایل

استاد

• Environmental Microbiology
• Microbial Community Ecology
• Nitrogen Cycling
• +۴ مورد دیگر

Professor Iman Rusmana is a distinguished faculty member in the Department of Biology, Faculty of Mathematics and Natural Sciences at IPB University (Bogor Agricultural University), Indonesia. His research spans environmental microbiology with strong expertise in microbial community ecology and ecophysiology. His primary research focuses include: Nitrogen cycling metabolisms in tropical estuaries and agricultural systems Methanotrophic and methanogenic bacteria in rice fields and aquatic ecosystems Bacterial probiotics for aquaculture Molecular studies of bacterial anti-quorum sensing mechanisms Professor Rusmana's publication record demonstrates consistent contributions to microbial ecology, particularly in tropical environments. His recent work (2023-2024) shows strong emphasis on bioelectrochemical systems, microbial fuel cells, nitrogen cycle dynamics in estuaries, and mangrove ecosystem biogeochemistry. His research integrates metagenomics, microbial metabolism analysis, and molecular techniques to address environmental challenges. His work has been supported by major Indonesian funding agencies including Kemenristek DIKTI through various projects such as CRC Start Up and other research grants focused on sustainable agriculture and aquaculture. Professor Rusmana actively collaborates with researchers across Indonesia and has contributed to significant projects including the CRC project group B02 on rainforest transformation impacts on soil prokaryotic communities in Sumatra.

• Physics
• Electronics
• Microcontroller Design
• +۳ مورد دیگر

Christoph Kalkuhl is an academic staff member at the University of Tübingen , affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Physics . His work focuses on electronics design, microcontroller systems, and nanoanalytics in biomedicine. Office address: At Morgenstelle 14, Tübingen, 72076 Phone: 29-76290 Research Interests Electronics design and development Microcontroller-based systems Nanoanalytics applications in biomedical contexts Applied physics instrumentation Semiconductor device engineering

• Microelectronics
• Analog Circuit Design
• RF Circuit Design
• +۳ مورد دیگر

Professor Michael Karagounis is a current faculty member at Dortmund University of Applied Sciences and Arts, teaching electronics since 2016. Previously, he served as Professor of Electrical Engineering at Hamm-Lippstadt University of Applied Sciences (2013-2016). His career uniquely bridges academic research and semiconductor industry experience at Infineon and Intel. His educational foundation includes: Communications Engineering degree from Cologne University of Applied Sciences Supplementary Electrical Engineering studies at Open University of Hagen Research focuses on Microelectronics with specialization in Analog and Mixed-Signal Circuit Design, RF Circuits, and Integrated Circuit Design for Automotive and Consumer Electronics. His work targets critical applications including automotive microcontroller power systems and smartphone navigation circuitry, emphasizing practical implementation of theoretical design principles in industrial settings. He actively supervises student theses, leveraging his semiconductor industry background to provide real-world context for academic concepts. His research projects in microchip design demonstrate applied engineering approaches, though specific grant details are not provided in available sources. The absence of lab-specific information suggests integrated departmental research facilities rather than a named independent laboratory.

• Embedded Systems
• Software Engineering
• Wireless Sensor Networks
• +۶ مورد دیگر

Prof. Dr. Claus Fühner is a Professor of Computer Engineering at the Faculty of Computer Science of Ostfalia University of Applied Sciences. His research interests include: Systems and Software Engineering for embedded systems Implementation of embedded systems from microcontrollers to cloud Functional safety Wireless communication (Bluetooth Low Energy, LoRaWAN) AI, neural networks, and LLMs in technical systems Railway automation Recent research projects (2016-2023) show a focus on practical applications in IoT and embedded systems, with an increasing emphasis on AI and LLMs. Key projects include SmartFreightWagon for railway freight digitalization (2023) and autonomous vehicle research using deep learning (2020). Prof. Fühner regularly supervises student theses and is open to industry collaboration. He can be contacted via email at c.fuehner@ostfalia.de.

Irenäus Schoppaمشاهده پروفایل

استاد

• Hardware-Software Co-Design
• Digital Systems
• Microcontroller Systems

Irenäus Schoppa is a Professor in the Faculty of Computer Science at Konstanz University of Applied Sciences for Technology, Business and Design, serving as Chairman of the Examination Board for Applied Computer Science. His academic focus centers on Hardware-Software Co-Design, with teaching responsibilities in the Bachelor's program Applied Computer Science (AIN). Key courses include: Digital Technology [AIN1] Microcontroller Systems [AIN3] Digital Systems [AIN5-7] Contact details: Room F 124, Alfred-Wachtel-Straße 8, D-78462 Konstanz Phone: +49 7531 206-644 Email: irenaeus.schoppa@htwg-konstanz.de Office hours for examination matters via Moodle course PAV-IN (Room O 309); other appointments in Room F 124.

Jan Richlingمشاهده پروفایل

استاد

• Microprocessor systems
• Embedded systems
• Real-time systems
• +۳ مورد دیگر

Prof. Dr.-Ing. habil. Jan Richling serves as a Professor in the Department of Electrical Engineering and Information Technology at South Westphalia University of Applied Sciences in Hagen, Germany. Based in Room H.318 at Haldener Straße 182 (58095 Hagen), he maintains active academic engagement with consultation hours by appointment and can be contacted via phone (+49 2331 9330-6219) or email (richling.jan@fh-swf.de). His research expertise spans critical domains in computer engineering, with particular focus on: Microprocessor architecture and design Embedded system optimization Real-time operating environments Network protocol implementation Energy-efficient computing solutions Fail-safe system reliability These interconnected fields address modern challenges in efficient, robust computing infrastructure. Prof. Richling's teaching portfolio includes foundational and advanced courses such as Microcontroller Systems, Computer Organization, Operating Systems, IP Networks Programming, and Fail-safe Systems (a compulsory elective), directly reflecting his research specializations. No information regarding scientific awards, graduate student supervision, research grants, or laboratory facilities was provided in the source material.

Andreas Gollwitzerمشاهده پروفایل

استاد

• Digital Signal Processing
• Microcontroller Programming
• Measurement Technology
• +۳ مورد دیگر

Andreas Gollwitzer is Professor of Electrical Engineering and Technical Computer Science at HFU Furtwangen University since October 2009, specializing in digital systems and measurement technology. His work bridges theoretical research with practical instrumentation development across multiple engineering domains. His academic credentials include: Diplom-Ingenieur (FH) from FH Amberg-Weiden (1999) Diplom-Ingenieur from Fernuniversität Hagen (2003) Doktor-Ingenieur from Universität Bayreuth (2009) Professor Gollwitzer's research spans digital signal processing , microcontroller programming , and precision measurement systems , with strong emphasis on sensor technology and analog-digital hybrid systems . His experimental approach integrates optical, microwave, and electrochemical methodologies for advanced instrumentation, particularly in interferometry and high-frequency measurement applications. His 2008-2010 publications reveal a consistent focus on calibration-free measurement techniques and real-time sensor systems , demonstrating interdisciplinary work connecting electrical engineering with materials science and physical chemistry. Key themes include interferometric precision, microwave-based process monitoring, and impedance modeling for chemical sensors. As an active IEEE member, he regularly presents at international conferences including IEEE Frequency Control Symposium and OPTO, with expertise covering both theoretical modeling and hardware implementation of measurement systems.