Find Academic Supervisors

• Positron Annihilation Spectroscopy
• Material Physics
• Organic Compounds Characterization
• +3 more

Dr. hab. Bożena Zgardzińska serves as a university professor at the Institute of Physics, Department of Material Physics at Maria Curie-Skłodowska University in Lublin, Poland. She currently holds the position of Deputy Director of the Institute and maintains regular student consultations. Her academic career has been deeply rooted in the Lublin nuclear physics research group specializing in positron annihilation phenomena. Her research focuses on Positron Annihilation Lifetime Spectroscopy (PALS) with applications spanning multiple scientific domains. She investigates the structure and properties of organic compounds, organic tissues for medical diagnostics applications, and multicomponent organic systems with industrial and medical potential. Her scientific work bridges fundamental physics with practical applications in materials science and medicine. Dr. Zgardzińska's publication record shows a strong emphasis on medical physics applications, particularly through the J-PET tomograph project, alongside fundamental studies of organic materials. Her research demonstrates consistent interdisciplinary collaboration across physics, materials science, and medical fields, with significant contributions to positron-based imaging techniques. She has secured competitive research funding, including leading the grant "Akademia kreatywnego rozwoju" (2018-2019) and the grant "Badanie struktury i własności materiałów kompozytowych i wieloskładnikowych materiałów organicznych metodą spektroskopii pozytonowej" (2014-2016). Her research program demonstrates sustained productivity and relevance across multiple scientific domains. As an educator, she has supervised students through bachelor's, engineer's, master's, and doctoral theses. She is also actively engaged in science communication through popular science publications like "Wiedza i życie," public lectures, and physics demonstrations for school groups. She co-founded and presides over the Lublin Educational-Scientific Association (LuTEN) and is a member of the Lublin Branch of the Polish Physical Society (PTF).

• Quantum Computing
• Cryogenics
• Data Acquisition Systems
• +3 more

Oliver Sander is a researcher at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT) . His work focuses on advanced electronics systems for quantum computing, cryogenic sensors, and high-energy physics experiments. Academic Rank: Researcher Research Affiliation: Institute for Data Processing and Electronics (IPE), KIT Contact: oliver.sander@does-not-exist.kit.edu Dr. Sander's research spans multiple disciplines, including quantum engineering , microwave electronics , and real-time data acquisition . He has pioneered electronic solutions for superconducting qubit control, cryogenic sensor readout, and particle detector systems at the Large Hadron Collider. His recent publications highlight advancements in microwave SQUID multiplexers , RFSoC-based readout systems , and modular quantum interface controllers . These works demonstrate a strong focus on scalability, noise reduction, and integration of heterogeneous hardware for precision measurements. At IPE, Dr. Sander contributes to cutting-edge projects like the ECHo experiment for neutrino mass measurement and the QUBIC telescope for cosmic microwave background studies. His expertise in field-programmable gate arrays (FPGAs) and multi-core architectures enables robust solutions for safety-critical systems in both physics and automotive domains.

Bernd KleinView profile

Professor

• Digital Signal Processing
• Radio Astronomy
• Submillimeter Astronomy
• +5 more

Prof. Dr. Bernd Klein is a Professor at the University of Applied Sciences Bonn-Rhein-Sieg (H-BRS) and Head of the Department of Digital Signal Processing and Submillimeter Technology at the Max Planck Institute for Radio Astronomy (MPIfR) . He serves as Project Manager for the APEX Telescope in Chile and Co-PI for the GREAT Receiver on NASA/ESA's SOFIA Observatory. 1989–1993: Diplom (FH) in Electrical Engineering, FH Gießen-Friedberg 1993–1996: Supplemental Studies in General Electrical Engineering, University of Siegen 1999–2004: Doctoral Researcher, MPIfR 2005: PhD in Astronomy, University of Bonn His research focuses on digital signal processing , THz/spectrometer development , and radio astronomical instrumentation . He pioneered high-resolution Fast Fourier Transform Spectrometers (FFTS) for telescopes like Effelsberg, APEX, SOFIA, and MeerKAT, with applications in submillimeter astronomy and space debris analysis . Key trends in his 15 most recent publications span terahertz heterodyne systems , quantum cascade laser phase-locking , stellar feedback mechanisms , and atomic oxygen detection in planetary atmospheres. His work bridges instrumentation development and observational astrophysics . 2018 : THz Science and Technology Best Paper Award, IEEE Microwave Theory and Techniques Society He leads instrumentation projects for radio telescopes and contributes to large-scale collaborations like the SFB 1601 (2023–present) on digital signal processing. His technical expertise includes field-programmable gate arrays (FPGAs) , heterogeneous computing architectures , and machine learning for astronomical data .

Colin ReiffView profile

Researcher

• Process Control
• Production Optimization
• Additive Manufacturing
• +4 more

Colin Reiff serves as a Research Assistant at the Institute for Control Engineering of Machine Tools and Manufacturing Units at the University of Stuttgart, focusing on advanced manufacturing systems and process optimization. His work bridges theoretical research with industrial applications in automotive, aerospace, and general production contexts. His research interests center on process control and optimization in multi-stage production systems and Additive Manufacturing (Powder Bed Fusion Processes) . Reiff has developed innovative approaches for zero-defect manufacturing, particularly through smart centering methods for rotation-symmetric parts and automated vision data systems using collaborative robots. His work demonstrates how dimensional deviations can be compensated during production rather than detected at final inspection. Analysis of his publication record from 2018-2024 reveals consistent focus on manufacturing innovation, with increasing emphasis on data-driven approaches, software-defined manufacturing, and sustainable production. His research spans both theoretical frameworks and practical implementations, with several solutions transitioning to industrial applications. Reiff actively supervises student theses and practical experiments, including the "Simulation of a feed axis closed loop control with MATLAB/Simulink" laboratory course. His work has been supported through EU-funded projects like ForZDM under Horizon2020 and the High-Performance Center "Mass Personalization" in Stuttgart. His research group operates within the University of Stuttgart's manufacturing ecosystem, contributing to initiatives like the "Stuttgarter Maschinenfabrik" - a fully digitalized production environment for customer-individualized products. This environment leverages digital twins and new technological infrastructure to enable application development freedom and machine park flexibility.

Krista HillView profile

Associate Professor

• Embedded Microprocessor Applications
• Field Programmable Gate Array
• Reconfigurable Hardware Applications
• +1 more

Krista Hill is an Associate Professor in the Electrical and Computer Engineering department at the University of Hartford's College of Engineering, Technology, and Architecture. Her research focuses on embedded microprocessor applications, field-programmable gate arrays, and reconfigurable hardware applications, particularly in the context of biomedical engineering applications.

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +3 more

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.