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Adriana BocchiniView profile

Researcher

• Theoretical Materials Physics
• Quantum Materials Modelling
• Computational Materials Science
• +3 more

Dr. Adriana Bocchini is a Researcher at the University of Paderborn , affiliated with the Theoretical Materials Physics department and the Quantum Materials Modelling group. Her work focuses on computational modeling of materials, particularly crystal defects, surface adsorption, and electrochemical properties using advanced theoretical methods. Research Interests: Adriana's research spans Theoretical Materials Physics and Quantum Materials Modelling , with a focus on Defect modeling in ferroelectric materials Surface adsorption mechanisms Electronic structure calculations First-principles simulations Recent Publications: She has contributed to studies on radiation-induced defects in KTiOPO 4 , Mg doping effects in lithium niobate, phosphonic acid interactions with bismuth oxide, and electrochemical properties of doped RTP crystals, all leveraging computational approaches like Density Functional Theory (DFT). Labs & Teams: Adriana is actively involved in the Theoretical Materials Physics and Quantum Materials Modelling groups at the University of Paderborn, advancing computational studies in materials science.

Waldemar KolanusView profile

Professor

• Molecular Immunology
• Cell Signaling
• Signal Transduction Pathways
• +4 more

Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +3 more

Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

Franz PfeifferView profile

Professor

• X-ray Physics
• Biomedical Imaging
• Computed Tomography
• +6 more

Prof. Dr. Franz Pfeiffer is a full professor at the Chair of Biomedical Physics within the Department of Physics at the Technical University of Munich (TUM) . He has served as director of the Munich School of BioEngineering since 2016. His research focuses on translating advanced X-ray physics concepts to biomedical imaging and clinical applications, particularly for early cancer and osteoporosis diagnostics. Research Interests: X-ray phase-contrast and dark-field imaging, synchrotron instrumentation, CT reconstruction algorithms, and medical imaging technology. Awards: Alfred Breit Prize (2017) ERC Advanced Grant (2016) Leibniz Prize (2011) National Latsis Prize (2010) ERC Starting Grant (2009) His work bridges fundamental X-ray physics with clinical translation, involving collaborations with radiologists, engineers, and medical researchers. Recent publications emphasize AI integration in CT, dark-field chest radiography, and spectral imaging applications.

Bastian PfauView profile

Researcher

• X-ray Holography
• Magnetic Imaging
• Ultrafast Dynamics
• +5 more

Dr. Bastian Pfau serves as Department Head of the “Imaging and Coherent X-rays” (B2) division and Project Coordinator for “Transient Structures and Imaging with X-rays” at the Max Born Institute in Berlin, where he has conducted postdoctoral research since 2016. His work pioneers nanoscale magnetic imaging using coherent X-ray techniques, with significant contributions to ultrafast magnetization dynamics and topological spin structures. His academic foundation includes a Dr. rer. nat. (PhD) in Physics from Technical University Berlin (2013) with thesis “Imaging magnetic nanostructures using soft x-ray Fourier transform holography,” and a Diplom (MSc) in Physics from Technical University Dresden (2006) focused on “Combining photon correlation spectroscopy and fluctuation analysis for investigating diffusion dynamics.” Additional research experience spans Lund University (2014-2015), Technical University Berlin (2010-2013), and Helmholtz Center Berlin (2006-2010). Dr. Pfau’s research centers on developing and applying X-ray holography and coherent diffraction imaging to visualize magnetic nanostructures at nanometer-femtosecond scales. His group specializes in ultrafast magnetization dynamics , skyrmion imaging , and element-specific magnetic probing using soft X-rays. Key innovations include achieving 5 nm resolution magnetic imaging and demonstrating all-optical helicity-independent switching via plasmonic nanostructures, with applications in next-generation spintronic devices and magnetic storage technologies. Analysis of his 15 most recent publications reveals dominant themes in nanoscale magnetic imaging (particularly skyrmions and topological textures), ultrafast opto-magnetic effects using extreme ultraviolet radiation, and advanced X-ray methodologies for capturing transient magnetic states. His work consistently bridges fundamental physics with practical instrumentation development, as evidenced by contributions to laser-driven plasma sources and tabletop X-ray setups. As Department Head of B2, Dr. Pfau leads a multidisciplinary team operating cutting-edge X-ray microscopy facilities at MBI. The group maintains strong collaborations with international synchrotron facilities (including BESSY II) and free-electron laser centers, focusing on developing MHz-repetition-rate pump-probe capabilities and high-resolution magnetic imaging techniques. Current projects emphasize real-time visualization of light-induced phase transitions and magnetic switching phenomena in functional materials.

Regina DittmannView profile

Professor

• Memristive Systems
• Resistive Switching
• Neuromorphic Computing
• +4 more

Prof. Dr. Regina Dittmann is the Director of the Electronic Materials division (PGI-7) at the Peter Grünberg Institute (PGI), part of the Research Center Jülich. Her research focuses on memristive systems, resistive switching phenomena, and neuromorphic computing architectures. She leads a team exploring novel oxide materials and their applications in advanced electronics, including memristive heterostructures, nanoelectronics, and energy-efficient computing systems. Her work integrates materials science, device physics, and computational modeling to develop next-generation memory and neuromorphic hardware. Key research areas include the design and characterization of memristive devices, understanding ion migration in perovskite materials, and optimizing thermal and electronic stability in nanoscale systems. Recent studies emphasize the role of space charge effects in metal exsolution, the development of fault-tolerant neuromorphic architectures, and the application of synchrotron-based techniques for in-situ material analysis. Her contributions have advanced the theoretical and practical foundations of resistive switching mechanisms and their implementation in energy-efficient computing systems.

• Semiconductor Device Modeling
• Boltzmann Transport Equation
• TCAD (Technology Computer-Aided Design)
• +11 more

Christoph Jungemann is a Professor at RWTH Aachen University in the Faculty of Electrical Engineering and Information Technology, where he serves as Vice Dean and heads the Institute for Theoretical Electrical Engineering. He obtained his diploma and doctorate in electrical engineering from RWTH Aachen and completed habilitations at the University of Bremen and TU Braunschweig. His career includes academic positions at Fujitsu in Japan, the University of Bremen, Stanford University, TU Braunschweig, and the University of the Federal Armed Forces in Munich. His research focuses on semiconductor device modeling, particularly using the Boltzmann transport equation, noise simulation, SiGe HBTs, THz devices, ReRAM, and cryogenic electronics. He employs deterministic and Monte Carlo methods for advanced TCAD applications. His recent work explores high-harmonic generation in doped silicon, plasma waves, and compact modeling of III-V devices. His publication trend shows sustained leadership in computational electronics, with emphasis on numerical stability, multi-scale modeling, and emerging device technologies for quantum and high-frequency applications. IEEE Paul Rappaport Award (2006) IEEE Fellow (2019) RWTH Teaching Award (2017) He has advised numerous researchers and co-authored extensively with colleagues in device physics and modeling. He has led major projects such as DOTSEVEN and edited special issues on next-generation TCAD. He has also served as co-editor of IEEE Transactions on Electron Devices and contributed to accreditation in engineering education through ASIIN. He leads a research group focused on theoretical electrical engineering, advancing simulation methodologies for next-generation semiconductor devices.

Bashir KazimiView profile

Researcher

• Deep Learning
• Computer Vision
• Materials Science
• +3 more

Dr.-Ing. Bashir Kazimi is a group leader at the Materials Data Science and Informatics (IAS-9) department within the Institute for Advanced Simulation at Forschungszentrum Jülich. His work focuses on advancing deep learning and computer vision techniques for electron microscopy data analysis, enabling efficient material characterization. Expertise: Deep Learning, Computer Vision, Image Analysis Collaboration: Works closely with the Ernst-Ruska-Center (ER-C) for electron microscopy expertise Research Interests: Bashir develops and applies deep learning methods for tasks such as denoising, super-resolution, semantic segmentation, and tracking in electron microscopy. His applications span nanomaterial characterization, crystallographic defect identification, and orientation mapping. Scientific Trends: His recent publications highlight advancements in self-supervised learning, semantic segmentation of TEM images, and applications of deep learning to both materials science and archaeological monument detection in geospatial data. Scientific Achievement: Admitted to the Young Excellent Scientist Program (YESP) in 2024, supporting leadership development and scientific visibility Advising: Supervises Shrindhi Bhat , a PhD student in his group. He is involved in projects like FAST-EMI (Deep-learning assisted fast in situ 4D electron microscope imaging), with a focus on enhancing materials analysis through AI.

• Shape Optimization
• Numerical Analysis
• Integro-Partial Differential Equations
• +3 more

Peter Philip is a Senior Lecturer at the Department of Mathematics, Faculty of Mathematics, Computer Science, and Statistics of Ludwig-Maximilians University Munich. His career since 2008 at LMU includes research in shape optimization and numerical analysis of integro-partial differential equations, with prior roles at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) and the Institute for Mathematics and its Applications (IMA). He has taught extensively across mathematics disciplines and led software development for crystal growth simulations. Positions: Academic Senior Counselor (2013–present), Academic Counselor (2008–2013), Industrial Postdoctoral Fellow (2004–2006), Research Associate (1997–2004) Education: Habilitation (2012) and Ph.D. (2003) in Mathematics from LMU Munich and Humboldt University Berlin, respectively; Diplom in Mathematics (1997, with excellence) from Free University Berlin Research Interests: His work focuses on Shape optimization via control of integro-partial differential equations Conductive-radiative heat transfer analysis and control Crack propagation modeling using energy functional minimization Numerical simulation of semiconductor crystal growth processes Finite volume methods for anisotropic and complex geometries Optimal control of electromagnetic heating systems Publications: He has published extensively in applied mathematics journals, with key contributions to conductive-radiative heat transfer, sublimation growth of SiC crystals, and crack propagation models. His work bridges theoretical analysis, numerical implementation, and industrial applications. Teaching: Since 2008, he has taught courses such as Numerical Mathematics, Analysis, Linear Algebra, and Axiomatic Set Theory, with a teaching load of 13 hours per week. His lectures include both foundational and advanced topics, supported by freely downloadable lecture notes.

• Solar Cells
• Electrocatalysis
• Materials Science
• +5 more

Carmine Pellegrino is a Researcher at the Technical University of Munich , affiliated with the Simulation of Nanosystems for Energy Conversion group under Prof. Alessio Gagliardi within the School of Computation, Information and Technology . His work bridges computational nanosystems with energy conversion technologies. Research Interests: Defect analysis in semiconductor materials for solar cells Impact of radiation damage on photovoltaic performance Multiscale modeling of energy conversion systems Integration of machine learning for materials predictions Electrocatalysis and hybrid organic-inorganic devices Recent Publications focus on GaAs solar cells, including studies of defect spectroscopy, dark current behavior, and radiation-induced degradation mechanisms. His work spans experimental characterization and computational modeling of semiconductor physics. Collaborations include the DFG e-Conversion Cluster III, TUM Innovation Network ARTEMIS, and EU Lion-Hearted projects. He contributes to thesis supervision at TUM, guiding Master's and Bachelor's research practices.

• Electronic Components
• Circuit Design
• Sensor Systems
• +5 more

Prof. Dr.-Ing. Volker K. S. Feige is a Professor at the Faculty of Electrical Engineering & Information Technology at Düsseldorf University of Applied Sciences (Hochschule Düsseldorf), where he has been teaching since March 2012. He teaches Electronic Components, Circuit Design, Sensor Systems & Signal Processing, and Manufacturing Measurement and Testing Technology. His research focuses on non-destructive testing methods using electromagnetic Terahertz waves, enabling more resource-efficient and sustainable manufacturing processes. Since August 28, 2023, Prof. Feige has also served as a member of the University Council of Düsseldorf University of Applied Sciences. Education: Vocational training as Energieelektroniker - Betriebstechnik (1988-1992) College entrance qualifications and bridge courses (1992-1993) Diploma in Electrical Engineering, Bergische Universität Wuppertal (1993-1998) Doctorate at Bergische Universität Wuppertal (2003) Prof. Feige's research centers on Terahertz technology applications for non-destructive testing and quality control. His work spans electronic components, circuit design, sensor systems, and signal processing with practical applications in corrosion protection of steel bridges and quality control of industrial coatings. He has developed innovative approaches for multilayer thickness measurements using reflection-mode Terahertz time-domain spectroscopy, particularly for challenging industrial environments. His research addresses real-world manufacturing challenges through precise, non-contact measurement techniques that improve sustainability and resource efficiency. Analysis of Prof. Feige's publication history reveals a clear research evolution from fundamental Terahertz measurement techniques toward integrated industrial solutions. His recent work increasingly incorporates robotics and machine learning for automated quality inspection systems, with growing applications in additive manufacturing and 3D printing. The consistent theme across his publications is the development of practical non-destructive testing methods that solve specific industrial challenges, particularly in coating thickness measurement across various substrates and multi-layer systems. Research Leadership: Principal investigator for multiple Terahertz technology research projects Contributor to VDI/VDE guidelines on Terahertz systems standardization Collaborator with industry partners on practical measurement solutions Lead on patents for 3D interferometric position measurement systems Prof. Feige directs research in the Electronics Laboratory at Düsseldorf University of Applied Sciences, where his team develops semi-mobile robotized Terahertz systems for automated quality inspection. His research group maintains strong industry connections, translating fundamental measurement technology into practical industrial applications for non-destructive quality control in manufacturing processes.

• Nuclear Physics
• Nuclear Astrophysics
• Detector Development
• +3 more

Dr. Andreas Wagner is a leading researcher at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), serving as Head of the Nuclear Physics Division and Head of the Radiation Source ELBE. His work focuses on applied nuclear physics, including nuclear astrophysics, detector development, and radiation technology. He leads the R3B collaboration at GSI/FAIR and chairs the Helmholtz portfolio initiative for Detector Technologies and Systems. His research spans nuclear data applications, materials science using positron annihilation spectroscopy, and medical physics applications in proton therapy verification. Dr. Wagner collaborates internationally, with projects at HZDR, GSI, and TU Dresden. He has contributed to advanced experimental facilities like the ELBE Linac and the Radiation Source ELBE. Teaching activities include courses on nuclear astrophysics, particle accelerators, and detector technologies at TU Dresden. His work bridges fundamental physics with applied technologies, emphasizing interdisciplinary research in energy, materials, and medical physics.

• Orthopedic Surgery
• Biomechanics
• Bone Regeneration
• +3 more

Michael Hahn is a researcher at the Institute of Osteology and Biomechanics within the University Medical Center Hamburg-Eppendorf. His work focuses on orthopedic surgery, biomechanics, and medical engineering, particularly in skeletal regeneration and implant stability. Research Interests : Orthopedic biomechanics, bone regeneration, trauma surgery, implantology, and medical technology. Publication Trends highlight interdisciplinary research at the intersection of orthopedics, dentistry, and radiation physics. His work includes studies on allograft integration, pedicle screw stability, transverse tarsal arch mechanics, and radiation effects on bone integrity. Collaborative projects often involve multiscale characterization of biomaterials and clinical translation of implant designs. Infrastructure Affiliation : Linked to UKE's Core Facilities , including research animal husbandry and specialized laboratories. Part of the Neuro-Immune Network Hamburg alliance.

Jean KrutmannView profile

Professor

• Molecular Aging Research
• Environmental Medicine
• DNA Repair Deficiency Syndromes
• +3 more

Prof. Dr. Jean Krutmann leads the Molecular Aging Research group at the Leibniz Research Institute for Environmental Medicine in Düsseldorf. His research focuses on environmentally-induced skin aging , DNA repair deficiency syndromes (Xeroderma pigmentosum, Cockayne syndrome), and air pollution effects on skin . Key projects include DFG FOR5489 exploring AHR-retinoid crosstalk and RTG 2624 developing biostatistical toxicology methods. Research Themes Mitochondrial DNA repair mechanisms Particulate matter dermatotoxicity Cutaneous exposome characterization 3D organoid modeling for UVB responses International environmental health collaborations (India, China) Key Discoveries ICAM-1 regulation in UV-damaged cells Ectoine-based lung disease prevention Near-infrared radiation's role in wrinkle formation Two microbiota cutotypes in Han Chinese AHR as UVB radiation target Collaborations Prof. Klaus Unfried (ectoine research) WG Esser, Schikowski, Schins International dermatology experts (Henry Lim, Akimichi Morita) Core Unit GEMD (iPSC organoids) Training & Leadership : Coordinates DFG research units FOR5489 and RTG 2624 . Supervises PhD student Jennifer Schindler and postdocs. Publications span J. Exp. Med , Nature Cell Biology , and Environmental International .

David SenorView profile

Adjunct Professor

• Nuclear Materials Science
• Radiation Effects on Materials
• Nuclear Fuel Development
• +5 more

David Senor is a Lab Fellow at Pacific Northwest National Laboratory (PNNL) and an Adjunct Professor of Nuclear Engineering at Texas A&M University. With over 30 years of experience since joining PNNL in 1992, he specializes in nuclear materials science with a focus on irradiation effects, material behavior under radiation, and development of nuclear fuels and structural materials. Dr. Senor holds a PhD in Nuclear Engineering from Texas A&M University (1992), along with MS (1989) and BS (1988) degrees from the same institution. His educational background has provided a strong foundation for his extensive research career in nuclear materials. His research focuses on neutron irradiation effects on reactor structural materials, burnable absorbers, and fuels, as well as proton and ion irradiation effects on accelerator beam-intercepting devices. He has pioneered work in fabrication of materials and fuels for nuclear service, particularly in silicon carbides for fission and fusion reactor applications, tritium-producing burnable absorber rods, and uranium-molybdenum fuels for research reactors. His recent publications demonstrate continued leadership in understanding radiation damage mechanisms, lithium ceramics for fusion applications, and advanced characterization techniques for nuclear materials. Dr. Senor has received numerous professional recognitions including the Secretary's Achievement Award from the Department of Energy (2019) and the Nuclear Engineering Distinguished Former Student Award from Texas A&M University (2018). He also earned early career recognition as a Young Leader from The Minerals, Metals and Materials Society (1996). As the national technical lead for the National Nuclear Security Administration Tritium Modernization program, principal investigator for fusion solid breeder research, and PI for post-irradiation examination in the RaDIATE Collaboration, Dr. Senor continues to play a critical role in advancing nuclear materials science. He has organized numerous international workshops and symposia, served on the Science Review Board for Nuclear Science User Facilities, and contributed to professional societies including The Minerals, Metals and Materials Society and the American Nuclear Society.