جست‌وجوی استاد و پژوهشگر

Josef Griesbauerمشاهده پروفایل

استاد

• Automation Systems
• Measurement Technology
• Control Engineering
• +۳ مورد دیگر

Prof. Dr. Josef Griesbauer is a Professor of Automation and Measurement Technology at the Faculty of Electrical Engineering at Kempten University of Applied Sciences. He serves as Program Coordinator for the Mechatronics (Bachelor) program and heads the Measurement and Control Technology Laboratory. With extensive experience spanning both academia and industry, Prof. Griesbauer has established expertise in automation systems and measurement technology. His educational background includes a PhD in Physics from the University of Augsburg (2008-2011) with research conducted partly at Boston University. Prior to his professorship, he worked at 3S-Smart Software Solutions GmbH (CODESYS GmbH) on industrial development projects and held research positions at OSRAM and the University of Augsburg. Prof. Griesbauer's research interests focus on the intersection of traditional engineering principles with modern digital technologies. His work spans theoretical biophysics (particularly lipid monolayers and wave propagation) and practical industrial applications (TSN, OPC UA PubSub, digitalization in manufacturing). He has developed AI-assisted lectures and maintains extensive educational content on YouTube covering Measurement Technology, Automation Technology, and Machine Learning. His publication record shows a clear evolution from fundamental biophysics research to applied industrial automation. Early work focused on lipid monolayers and material science, while recent publications address practical implementation of Time-Sensitive Networking and digital integration in intralogistics systems. This transition reflects his unique ability to bridge theoretical physics with practical engineering solutions. Prof. Griesbauer co-founded the 'Allgäu 4 Production' platform and hosts 'The Griesbauer' podcast where he interviews experts on technology, science, automation, digitalization, AI, philosophy, and society. The podcast demonstrates his commitment to making complex technical topics accessible while exploring their societal implications. He maintains the Measurement and Control Technology Laboratory at Kempten University, which serves as a hub for practical education and applied research in automation technologies, supporting both student projects and industry collaborations.

Achim Kobersteinمشاهده پروفایل

استاد

• Design of decision support systems
• Modelling and optimization of deterministic and stochastic planning problems
• Applications in operations and supply chain management

Achim Koberstein is a Professor of Business Administration with a focus on Business Informatics and Operations Research at the Faculty of Economics and Business Administration (Wiwi) , European University Viadrina Frankfurt (Oder). His academic career spans multiple institutions, including Goethe-University Frankfurt and the University of Hamburg. Education: Doctorate in Business Informatics (Dr. rer. pol.) at the University of Paderborn (2005) Diploma in Computer Science (Minor: Business Administration) at the University of Paderborn (2002) His research centers on decision support systems , stochastic and deterministic optimization models , and applications in supply chain and automotive production planning . Recent work explores drug shortages, drone logistics, and hybrid electric vehicle routing. His publications highlight a focus on stochastic programming , MILP modeling , and real-world logistics challenges across healthcare, automotive, and maritime domains. Current affiliations include leadership roles in the Faculty of Economics and Business Administration's Dean's team. Contact: Email: koberstein@europa-uni.de Office: Main Building (HG) 043, Große Scharrnstraße 59, 15230 Frankfurt (Oder)

Kurt Rothermelمشاهده پروفایل

استاد

• Distributed Systems
• Time-Sensitive Networking
• Networked Control Systems
• +۷ مورد دیگر

Prof. Kurt Rothermel is a faculty member at the University of Stuttgart, specifically affiliated with the Institute for Parallel and Distributed Systems (IPVS) within the Faculty of Computer Science, Electrical Engineering, and Information Technology. His research focuses on distributed systems with particular expertise in time-sensitive networking, networked control systems, and complex event processing. Prof. Rothermel's research interests span multiple areas in distributed computing and networking: Distributed Systems and Networked Control Systems Time-Sensitive Networking and Deterministic Networking Quality of Service (QoS) Management and Optimization Complex Event Processing and Stream Analytics Edge Computing and Real-Time Video Analytics Digital Twin Systems and Proximity-based Services His recent publications (2022-2025) demonstrate a strong focus on time-sensitive networking, with numerous papers addressing scheduling algorithms, conflict graph creation, and latency management for time-triggered communication. There's also significant work on load shedding techniques for resource-constrained environments, particularly for real-time video analytics at the edge. His research increasingly incorporates digital twin systems and explores novel approaches for distributed mobile simulation, as evidenced by his "Persival" framework for handling 3D meshes on AR devices. Prof. Rothermel has made substantial contributions to the field of complex event processing, developing multiple shedding strategies (gspice, hSPICE, pspice) to manage resource constraints while maintaining utility. His work bridges theoretical networking concepts with practical applications in industrial settings, particularly evident in his research on networked control systems and time-sensitive software-defined networks.

Manolis Zampetakisمشاهده پروفایل

استادیار

• Theoretical Machine Learning
• Statistics
• Optimization
• +۳ مورد دیگر

Manolis Zampetakis is an Assistant Professor of Computer Science at Yale University. Previously, he was a postdoc at UC Berkeley's EECS Department working with Michael Jordan, and earned his PhD from MIT's EECS Department under Constantinos Daskalakis. His research spans Theoretical Machine Learning, Statistics, Optimization, Computational Complexity, Game Theory, and Mechanism Design. He has received the ACM SIGEcom Doctoral Dissertation Award and a Google PhD Fellowship. Current affiliation: Yale University (Assistant Professor) Prior affiliations: UC Berkeley (Postdoc), MIT (PhD student), NTUA (Undergraduate) His research focuses on algorithmic game theory, robust statistics, and optimization challenges in machine learning. He explores computational complexity in multi-player games, truncated linear regression, and strategy-proof mechanisms. Recent work includes backdoor attacks in neural networks and jailbreaking black-box LLMs, with publications in top venues like NeurIPS, COLT, FOCS, and STOC. Notable scientific contributions have been recognized through awards and special issues. He co-organized workshops at FOCS 2018, WALE 2019, and WALE 2022. His students include Anay Mehrotra, Jane Lee, Katerina Mamali, Shuchen Li, and Nikolaos Koumpis, often co-advised with prominent researchers like Amin Karbasi and Tuomas Sandholm.

• Neuroethology
• Computational Neuroscience
• Sensory Processing
• +۵ مورد دیگر

Jan Benda , PhD, is a Professor at the University of Tübingen within the Faculty of Mathematics and Natural Sciences , specifically affiliated with the Department of Biology and the Institute of Neurobiology , leading the Neuroethology working group. His research focuses on neuroethology, computational neuroscience, and sensory processing mechanisms in weakly electric fish and other species. Research Interests: Jan Benda investigates how sensory systems encode natural signals, emphasizing neural adaptation, burst spiking, and synchronization in weakly electric fish. His work bridges biological experiments with computational modeling to understand the interplay between stochastic and deterministic neural processes. Article Trends: His recent publications (2025-2022) explore statistical regularities in sensory processing across species, nonlinear signal transmission in spiking neurons, neural synchronization in electrosensory systems, genotype-phenotype correlations in ion channel mutations, and advanced methodologies for sensory system analysis. These studies highlight his integrative approach combining experimental neuroethology with computational frameworks. Academic Roles: As a full professor, Benda oversees teaching modules like Weakly Electric Fish (BIO3146) and Introduction to Scientific Computing and Statistics (BIO4201) . He contributes to the Neuroethology working group seminar and Integrative Neurobiology tutorials, reflecting his commitment to interdisciplinary education.

• Quantum Optics
• Semiconductor Physics
• Photonics
• +۳ مورد دیگر

Professor Stephan Reitzenstein is a faculty member at the Technical University of Berlin's Institute of Solid State Physics, leading cutting-edge research in quantum photonics and semiconductor nanostructures. His work focuses on developing advanced quantum light sources for communication and computing applications. Research interests center on Quantum Optics and Semiconductor Physics , with specific expertise in quantum dot micropillar lasers, microcavity quantum electrodynamics, and van der Waals heterostructures. Current projects investigate single-photon manipulation, photonic quantum reservoir computing, and spin-controlled quantum emitters, targeting telecom wavelength bands for practical quantum networks. The research group maintains strong DFG funding including ongoing Research Grants and Priority Programs. Experimental capabilities include nanofabrication facilities (notably an in-situ low-temperature electron beam lithography system) and cryogenic optical characterization setups. The lab actively develops deterministic quantum devices for entangled photon generation and quantum communication infrastructure.