جستجوی استاد راهنمای دانشگاهی

Laura Na Liuمشاهده پروفایل

استاد

• Nanophotonics
• DNA Nanotechnology
• Plasmonics
• +۴ مورد دیگر

Prof. Laura Na Liu is a Professor and Director at the 2nd Physics Institute, University of Stuttgart, with a dual affiliation at the Max Planck Institute for Solid State Research. Her research bridges nanophotonics, DNA nanotechnology, and plasmonics, focusing on dynamic systems for biomedical applications, optical metamaterials, and synthetic biology. Key contributions include DNA-templated plasmonic architectures, reconfigurable metasurfaces, and synthetic cell components using DNA nanotechnology. Academic training includes advanced work in physics and materials science, with a career spanning leading institutions. Research interests emphasize the interplay between nanoscale structures and optical/chemical functionalities. Recent publications highlight innovations in programmable nanomaterials, real-time molecular tracking, and high-performance holography systems. Her work integrates experimental and theoretical approaches, addressing challenges in biophotonics, nanoelectronics, and smart materials. Awards and recognitions are listed in institutional records, while her lab actively collaborates with industry on applied photonics solutions.

Elisha Kriegمشاهده پروفایل

استادیار

• DNA Nanotechnology
• Programmable Materials
• Biomaterials
• +۳ مورد دیگر

Dr. Elisha Krieg serves as Group Leader at the Leibniz Institute for Polymer Research Dresden and TUD Young Investigator at Dresden University of Technology, Germany. Her research pioneers programmable biomaterials using DNA nanotechnology for advanced biomedical applications, bridging synthetic polymer science with biological complexity. Her academic foundation includes: Ph.D. in Chemistry, Weizmann Institute of Science, Israel (2013) M.Sc. in Chemistry, Weizmann Institute of Science, Israel (2009) Vordiplom in Chemistry, University of Cologne, Germany (2006) Krieg's work centers on developing DNA-based nanomaterials that translate nanoscale programmability to macroscopic functional materials. Her group designs synthetic polymers functionalized with DNA modules to create reconfigurable platforms for diagnostics, tissue engineering, and nucleic acid purification. This approach leverages DNA's molecular precision to overcome limitations of conventional synthetic polymers, enabling dynamic biomaterials that respond to biological cues. Recent publications reveal a clear trajectory toward clinical translation, with 12 of 15 recent papers focusing on DNA-encoded hydrogels for cell culture matrices and nucleic acid diagnostics. The research spans fundamental supramolecular chemistry to applied biomedical engineering, emphasizing scalability and point-of-care compatibility. Key recognition includes: HFSP Postdoctoral Fellowship during Harvard tenure Krieg actively recruits MSc/PhD students through DIGS-BB and secures competitive funding including the TUD Young Investigator program. Her mentorship emphasizes interdisciplinary training in polymer chemistry, molecular biology, and nanomaterial characterization. Current grants support three core application areas: DNA/RNA purification for sequencing diagnostics, dynamic 3D cell culture matrices, and pathogen detection systems. The Krieg Group operates within the Max Bergmann Center of Biomaterials, utilizing advanced facilities for DNA nanotechnology, polymer synthesis, and nanomaterial characterization including cryo-EM and rheology.

• Nanotechnology
• Quantum Transport
• Biosensors
• +۴ مورد دیگر

Dr. Ivan Bozhev is a Research Fellow at the University of Würzburg's Faculty of Physics and Astronomy, affiliated with the Chair of Experimental Physics III. His research focuses on nanotechnology, quantum transport, and advanced materials for biosensors and medical diagnostics. He contributes to projects at the Institute for Topological Insulators , exploring novel applications of silicon nanowires, SERS substrates, and nanostructured oxides. Key research interests include: Design of biosensors for pathogen and disease detection (e.g., Listeria monocytogenes, H1N1 virus) Development of nanowire-based drug delivery systems at single-cell resolution Material characterization under extreme conditions (ion irradiation, high-temperature gas sensing) Optimization of nanowire fabrication via metal-assisted chemical etching and anodic oxidation His work bridges fundamental materials science with applied technologies, such as high-temperature gas sensors, NO₂ detection systems, and SERS-based diagnostic tools. Recent advancements include gold-decorated silicon nanowires for bilirubin detection and antiviral applications of porous silicon nanoparticles. Contact: Email | Phone: +49 931 31-87943 | Chair of Experimental Physics III

Jörn Ostermannمشاهده پروفایل

استاد

• Video Coding
• Computer Vision
• Machine Learning
• +۹ مورد دیگر

Prof. Jörn Ostermann is a Full Professor and Head of the Institut für Informationsverarbeitung at Leibniz Universität Hannover since 2003, with prior roles at AT&T Bell Labs and AT&T Labs-Research. He served as Dean of the Faculty of Electrical Engineering and Computer Science (2011–2013) and member of the Senat (since 2020). His research spans video coding, computer vision, machine learning, 3D modeling, and computer-human interfaces , with applications in SAR imaging, predictive maintenance, children's speech analysis, and cochlear implants. Key projects include Next Generation Video Coding , Conditional Coding for Learned Compression , and GreenAutoML4FAS . Notable trends in his recent publications (2025–2023) include Neural network-based video compression Uncertainty estimation in speech recognition Zero-delay coding for cochlear implants Domain adaptation for aerial image segmentation 3D mesh compression standards Error concealment in VVC coding Scientific recognitions: AT&T Standards Recognition Award (1998) ISO Award (1998) IEEE Fellow (2005) Distinguished Lecturer, IEEE CAS Society (2002/2003) MPEG Convenor (2020–2023) He co-authored a graduate textbook on Video Communications , holds >30 patents, and has led >20 research projects. His work bridges academic research and industrial standardization, particularly in MPEG and IEEE committees.

Riccardo Masseiمشاهده پروفایل

پژوهشگر

• Ecotoxicology
• Toxicology
• Computational Biology
• +۳ مورد دیگر

Dr. Riccardo Massei is a Scientist and Co-PI at the Helmholtz Centre for Environmental Research – UFZ , Leipzig, since July 2023. He serves as a Data Steward in the NFDI4BIOIMAGE initiative for high-content screening (HCS) data management and metadata annotation in toxicology and ecotoxicology. Previously, he held postdoctoral positions at UFZ's Department of Bioanalytical Ecotoxicology (2021–2023) and the Department of Veterinary Sciences at the University of Antwerp (2020–2021). Education: Doctoral degree in Natural Sciences (2018) from RWTH Aachen, focusing on pesticide mixtures and neuroactive chemicals in EU river basins. Research Expertise: Development of automated workflows for HCS data, metadata analysis, and FAIR-compliant image data storage using Python, KNIME, and Galaxy. His research spans ecotoxicology, computational biology, and environmental analytical chemistry , with over 30 publications since 2015. Recent work focuses on high-throughput effect-directed analysis, zebrafish embryo toxicity testing, and data-driven toxicology , particularly in the 2025_nanoINHALE and 2024_SafePol projects. Scientific achievements include the Young Scientist Award at SETAC 2016 and leadership in organizing sessions on "Fish model species in toxicology" since 2017. His publications cover topics like neurotoxicity of complex environmental mixtures biotransformation impacts on chemical toxicity automated behavioral assays for embryos sediment contamination analysis genotoxicity assessment in water systems Dr. Massei administers UFZ's OMERO instance and provides advisory services for research data management (RDM) concepts in toxicology.

• Ecohydrology
• Biogeochemistry
• Stable Isotope Hydrology
• +۳ مورد دیگر

Dörthe Tetzlaff is a W3 Professor of Ecohydrology at Humboldt University of Berlin and Head of the Department of Ecohydrology & Biogeochemistry at IGB (Leibniz-Institute of Freshwater Ecology and Inland Fisheries). She holds an Honorary Professorship at the University of Aberdeen and has served in numerous leadership roles in hydrology societies. PhD in Hydrology (University of Freiburg) DSc in Hydrology (University of Aberdeen) Member of Berlin-Brandenburg Academy of Sciences Her research focuses on eco-hydrological connectivity , stable isotope applications , and drought impacts on water systems . She develops tracer-aided models to quantify water partitioning in urban and agricultural catchments, with recent work on climate-vegetation interactions and nature-based solutions . Her 2025 publications examine NO3-N cycling, urban green space dynamics, and drought-sensitive catchment modeling. Scientific accolades include the 2024 Polubarinova-Kochina Mid-Career Award (AGU), 2024 Wasser-Ressourcenpreis , and multiple fellowships (AGU, RSE, GSA). She teaches Measurements in Ecohydrology and Water Security at Humboldt University.

• Combustion
• Molecular Spectroscopy
• Laser Diagnostics
• +۳ مورد دیگر

Thomas Häber is a Senior Scientist and Research Fellow at the Karlsruhe Institute of Technology (KIT), where he leads research in the Institute for Chemical Technology and Polymer Chemistry. He holds a PhD in Physical Chemistry from the University of Göttingen (2000) and an MS in Chemistry from the University of Paderborn (1997). His work focuses on combustion diagnostics, molecular spectroscopy, and catalysis, with expertise in laser-based techniques like PLIF and high-resolution FTIR. He has pioneered studies on flame-wall interaction, ignition mechanisms, and computational fluid dynamics modeling. Key achievements include developing tomographic multispecies visualization methods and analyzing NOx storage catalysts. His research projects include collaborations within the SFB 150 and FOR 1447 frameworks. He has received awards such as the Richard Zsigmondy Award and Humboldt Foundation fellowship. Research interests span combustion dynamics, laser diagnostics, and computational tools like machine learning. His contributions to understanding flame quenching, hot particle ignition, and catalytic oxidation have advanced both fundamental science and engineering applications. He collaborates across disciplines, integrating experimental and numerical approaches to solve complex fluid flow and reaction problems.

• Communications Engineering
• Signal Processing
• Information Theory
• +۳ مورد دیگر

Masoumeh Karvar is a Research Fellow at the Chair of Line Transmission Technology (Prof. Norbert Hanik) within the Institute for Communications Engineering at the Technical University of Munich. Her work focuses on advanced communications systems and theoretical foundations of data transmission. Her research spans Communications Engineering with emphasis on Signal Processing, Information Theory, and Coding Theory. The Institute maintains leadership in coding applications including DNA-based data storage and quantum communication networks, organizing annual workshops like the Munich Workshop on Coding and Cryptography that attract global researchers. Current initiatives explore 6G technologies and molecular communications through collaborations with DLR (German Aerospace Center). Dr. Karvar contributes to the institute's mission of advancing transmission technologies for next-generation communication networks through both theoretical research and practical implementations.

• Cryptography
• Distributed Learning
• Secure Computing
• +۳ مورد دیگر

Christoph Hofmeister is a doctoral researcher at the Technical University of Munich (TUM), affiliated with the Associate Professorship of Coding and Cryptography under Prof. Antonia Wachter-Zeh. He holds an M.Sc. in Electrical and Computer Engineering from TUM (2021) and a B.Eng. from Munich University of Applied Sciences (2019), with a dual study program at Infineon Technologies (2015–2019). His research focuses on distributed learning systems, federated learning, secure computing, and coding theory. Key areas include Byzantine-resilient distributed learning, privacy-preserving federated learning, and secure matrix multiplication protocols. Hofmeister’s work addresses challenges such as fault tolerance, communication efficiency, and information-theoretic security in distributed systems. He has contributed to over 15 peer-reviewed publications, including works on DNA-based storage systems, secure aggregation in federated learning, and privacy-preserving algorithms. His teaching includes courses on coding theory, channel coding, and distributed computing at TUM. Current research initiatives include exploring fundamental limits of Byzantine-resilient learning and optimizing compression techniques for federated learning. Hofmeister is also involved in advising doctoral and master’s theses on topics like non-uniform secure aggregation and coordinate-based compression methods.

• Ecohydrology
• Stable Isotope Hydrology
• Landscape Hydrology
• +۷ مورد دیگر

Doerthe Tetzlaff is a Professor in Ecohydrology at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin , with research focused on stable isotopes, landscape ecohydrology, and climate-water-ecosystem linkages in Scotland and Germany. She leads the Department 1: Ecohydrology & Biogeochemistry . Her research explores water storage dynamics, drought resilience, and ecohydrological interactions across diverse systems including peatlands, urban streams, and permafrost catchments. She integrates stable isotopes , hydrochemical tracers , and eDNA to quantify water ages, flow pathways, and biogeochemical transformations. Recent publications highlight her work on: Multi-tracer urban water management frameworks Isotope-aided modeling of nitrogen cycling in connected landscapes She actively engages in AGU ecohydrology sessions , critical zone science , and policy discussions about land use impacts on water security. Her team has reported equipment thefts during fieldwork in the Oder floodplain and Scotland’s Wester Ross region.

• Data Privacy
• Information Theory
• Distributed Computing
• +۴ مورد دیگر

Rawad Bitar is a Research Group Leader at the Institute for Communications Engineering under the TUM School of Computation, Information and Technology . He holds a habilitation from TUM with mentors including Prof. Antonia Wachter-Zeh, Prof. Deniz Gündüz, and Prof. Sidharth Jaggi. His academic journey includes a Ph.D. in ECE from Rutgers University (2020), a master’s degree from the Lebanese University (2014), and an engineering degree from the Lebanese University (2013). Research Interests: Privacy and Security in Distributed Systems Byzantine-Resilient Federated Learning Private Distributed Computing DNA-Based Storage and Computing Insertion/Deletion-Correcting Codes Network Coding with Myopic Adversaries Adaptive Stochastic Gradient Descent Article Trends: His recent publications focus on federated learning, secure coded computing, and DNA-based storage. Key themes include Byzantine resilience, gradient compression, privacy-preserving algorithms, and code design for synchronization errors. Collaborations span institutions like Stanford, EPFL, and Aalto University, with applications in cloud computing, edge networks, and synthetic biology. Grants and Awards: DFG Grant for "Fundamentals of Coding and Information Theory for Edit Errors" (2025–2028) DFG Grant for "Private Secure and Efficient Codes for Distributed Machine Learning" (2023–2026) EuroTech Visiting Research Programme (2024, 2023) iDASH 2022: Second Place in Track 4: Secure Record Linkage Best Poster Award at Princeton Day of Optimization (2018) Teaching and Supervision: Rawad co-teaches advanced courses at TUM, including Coding for Trustworthy Distributed Learning and Coding Theory for Storage and Networks . He has supervised over 15 Ph.D. and Master's students, including Sena Ergisi , Yue Xia , and Luis Maßny , often in collaboration with leading researchers like Prof. Antonia Wachter-Zeh. Collaborations and Service: Active in workshops and conferences, Rawad co-organized events such as the 2025 Workshop on Distributed Computing, Optimization and Learning (WDCL) and the 2024 Dagstuhl Seminar on Coding for Synthetic Biology . His collaborators include Prof. Mary Wootters (Stanford) and Dr. Andreas Lenz (formerly TUM).

Antonia Wachter-Zehمشاهده پروفایل

دانشیار

• Coding Theory
• Post-Quantum Cryptography
• Information Theory
• +۵ مورد دیگر

Antonia Wachter-Zeh is an Associate Professor at the Technical University of Munich (TUM) in the School of Computation, Information and Technology. She heads the Coding and Cryptography (COD) group and holds an ERC Starting Grant and the DFG Heinz Maier-Leibnitz Prize. Her research focuses on coding theory, post-quantum cryptography, and their applications in storage, communication, and machine learning. Education: M.Sc. in Electrical Engineering/Communications Engineering, Ulm University (2009) PhD in Electrical Engineering (2013), jointly from Ulm University and Université de Rennes 1 Research Interests: Coding Theory: Rank-metric codes, insertion/deletion correcting codes, DNA storage Post-Quantum Cryptography: Code-based and lattice-based schemes Coded Computing: Secure federated learning, privacy-preserving distributed algorithms Recent Publications: Focus on coded distributed computing, DNA-based storage, and cryptographic protocols. Key contributions include FedGT for malicious client detection and LowMS for rank-metric code-based KEMs. Awards: Johann Philipp Reis Award (2023) ERC Starting Grant (2019-2024) DFG Heinz Maier-Leibnitz Prize (2018) Grants & Teams: Leads projects like PQ-Prime (encrypted computing), DiDaX (DNA data storage), and PQ-CROWD (cryptography with skew codes). Collaborates internationally with institutions like ICL and DLR. Labs/Teams: Coding and Cryptography (COD) group at TUM, active in organizing workshops like MWCC and ITW.

Jan Vogesمشاهده پروفایل

پژوهشگر

• Genomic Data Compression
• DNA Data Storage
• Bioinformatics
• +۳ مورد دیگر

Dr. Jan Voges is a Research Group Leader at the Institute for Information Processing and the L3S Research Center at Leibniz University Hannover, where he leads the BioAI Lab. He has held previous research leadership positions at the same institution (2022-2024), CIMA University of Navarra (2024-2025), and maintains a visiting position at the Peter L. Reichertz Institute for Medical Informatics. Dr. Voges' research spans the intersection of computer science, genomics, and medical informatics, with a focus on: Developing AI methods for multi-omics data analysis DNA sequencing data compression and storage 3D genome reconstruction Single-cell RNA sequencing data modeling International standardization of genomic data His recent work demonstrates a strategic shift toward integrating artificial intelligence with genomic data analysis, particularly for medical applications. The development of Genie, the first open-source ISO/IEC encoder for genomic data, represents a significant contribution to genomic data standards. His research shows strong translational potential, bridging computational methods with clinical applications as evidenced by his P4D Dashboard project for depression cohort monitoring. Dr. Voges has received recognition for his work, most notably earning his Dr.-Ing. degree with distinction in 2022. His active participation in ISO/IEC standardization committees and collaborations with international institutions demonstrates the impact of his work beyond traditional academic boundaries. As a supervisor, Dr. Voges maintains a focused lab structure with 3 PhD students, emphasizing quality mentorship and opportunities for students to contribute to high-impact projects with real-world applications. His lab provides unique opportunities at the cutting edge of genomic data science, with exposure to international standardization processes and interdisciplinary collaborations.

• Information Theory
• Coding Theory
• DNA-based Data Storage

Hrishi Narayanan is a Doctoral Researcher at the Institute of Communication Engineering , Technical University of Munich, affiliated with the School of Computation and Information Technology . He is supervised by Prof. Antonia Wachter-Zeh and Dr. Rawad Bitar. Education : Dual Degree - B.Tech in Computer Science and MS (via Research) in Computational Natural Science from IIIT Hyderabad Research Focus : Narayanan works in Information Theory and Coding Theory , with specialized interests in DNA-based Data Storage systems. His work bridges theoretical coding challenges with practical implementations in emerging storage technologies. Awards & Funding : Recipient of the iHub Data Foundation Research Fellowship (2023-2025), supported by India's National Mission for Interdisciplinary Cyber Physical Systems (NM-ICPS).

Wolfgang Wenzelمشاهده پروفایل

استاد

• Multiscale Materials Modelling
• Virtual Design of Materials
• Nanotechnology
• +۴ مورد دیگر

Prof. Wolfgang Wenzel is a Professor and Research Unit Chair at the Institute of Nanotechnology (INT) at Karlsruhe Institute of Technology (KIT). His research focuses on Multiscale Materials Modelling and Virtual Design , emphasizing computational approaches for nanoscale materials and devices. Key areas include organic electronics, battery technologies, and metal-organic frameworks (MOFs). He leads the Research Unit Wenzel and contributes to initiatives like the BATTERY 2030+ project. His work bridges theory and application, developing tools like SimStack (workflow automation) and TeachIt (digital teaching). Research interests span multiscale simulations, material design, and nanotechnology applications. He collaborates on 3D Matter Made to Order (3DMM2O) and supervises students like Anna Mauri, who won the Best Poster Award at Future 3DAM 2022. His team addresses challenges in energy storage, sensor design, and advanced manufacturing. The group also explores MOF-functionalized sensors and light-switchable conductors . Professional contributions include leadership in the GRK 2450 graduate school and DAAD scholarship coordination for international PhD students. His lab develops fluorescent nanozeolite receptors for neurotransmitter detection and layer-by-layer SURMOF assembly strategies.