جست‌وجوی استاد و پژوهشگر

• AI and EdgeAI
• Automated Driving
• Sensor Fusion and Mapping
• +۳ مورد دیگر

Markus Hahn is a Professor of Electrical Engineering at Technische Hochschule Ulm (THU). He serves as a Member of the Senate and Head of the Internship Office within the Faculty of Electrical Engineering. His expertise spans AI-driven edge computing, automated driving systems, radar scene understanding, and software engineering. Hahn holds a Dr.-Ing. from Bielefeld University and has extensive industry experience with Bosch, Daimler, and Continental. His research focuses on safe autonomous systems, sensor fusion, and distributed algorithms. He has supervised four PhD students and led grants such as the BMBF-funded MIKE project. Notable awards include the DAGM Young Talent Award (2007) and CMIM 2018 Best Paper Awards. Education: PhD in Computer Science, Bielefeld University (2010) Diploma in Cognitive Robotics, Ilmenau University of Technology (2007) Research Interests: Combining edge AI with radar technology to enable real-time environmental perception for autonomous systems. Specializes in sensor fusion, radar data interpretation, and distributed software architectures. Grants: Ongoing: MIKE - Enhancing Inclusion via Edge AI Completed: AdaptIVe (EU), interactIVe (EU), UR:BAN (BMWi) Awards: Multiple best-paper recognitions at IEEE conferences and industry-driven research excellence awards.

Giuseppe Thadeu Freitas de Abreuمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Machine Learning for Wireless Systems
• +۷ مورد دیگر

Giuseppe Thadeu Freitas de Abreu is a Professor of Electrical Engineering at the School of Computer Science & Engineering, Constructor University Bremen, Germany. He holds a Docent (Habilitation) in Statistical Signal Processing and Communication Theory from the University of Oulu (2006), a PhD in Physics from Yokohama National University (2004), and a Master’s in Physics from the same institution (2001). His research focuses on wireless communications, signal processing, and next-generation networks, including 5G/6G systems, massive MIMO, and physical-layer security. He has held roles such as Full Professor at Ritsumeikan University (2015–2018) and Adjunct Professor at the University of Oulu (2006–2011). Education: Docent (Habilitation): Statistical Signal Processing and Communication Theory, University of Oulu, 2006 PhD in Physics, Yokohama National University, 2004 Masters in Physics, Yokohama National University, 2001 Bachelor in Electrical Engineering, Universidade Federal da Bahia, Brazil, 1997 Research Interests: Machine Learning for Wireless Communications, Cell-Free Massive MIMO, 5G/6G Systems, Millimeter Wave, Physical-Layer Security, Localization, and Random Matrix Theory. His work emphasizes practical applications in next-gen networks, including ISAC (Integrated Sensing and Communications) and quantum-aided systems. Grants & Projects: Continental AG Project ADVANTAGE Phase 2 (2021–2024) EIG Concert Japan Integrated Project ORACLE (2021–2024) EU H2020 HIGHTS (2015–2018) EU FP7 BUTLER (2011–2014) Awards: IEEE Fellowships, Heiwa Nakajima Fellowship (2013), and numerous grants from JSPS, NICT, and others. His contributions span editorial roles in IEEE Transactions on Wireless Communications and leadership in international research initiatives. Labs & Groups: Leads the Abreu Group (abreugroup.pages.constructor.university), focusing on cutting-edge wireless research with industrial collaborations.

Marc-Thorsten Hüttمشاهده پروفایل

استاد

• Computational Systems Biology
• Mathematics
• Physics
• +۵ مورد دیگر

Prof. Marc-Thorsten Hütt is a Professor of Computational Systems Biology at the School of Science, Constructor University Bremen gGmbH. His research integrates mathematical, physical, and computational approaches to understand biological systems, including gene regulatory networks, metabolic systems, and neural dynamics. He leads a research group focused on systems biology, network analysis, and interdisciplinary applications in medicine and environmental science. His work bridges theoretical frameworks with experimental data, addressing challenges in bioinformatics, epigenetics, and complex systems. Research interests include the interplay between network topology and dynamics, particularly in excitable systems and biological networks. Notable contributions involve analyzing microbial interaction networks, perturbation therapies for neurodegenerative diseases, and the impact of environmental factors on marine ecosystems. Recent studies explore interdisciplinary citation patterns and machine learning applications in network inference. His publications span computational biology, neuroscience, and network theory, with a focus on attractor analysis, node centrality, and systems-level modeling. The most recent work addresses sampling bias in networks and 5G radiation effects on cellular genetics. Despite extensive contributions, no specific awards are listed in the provided texts. Prof. Hütt collaborates with industry on steel production optimization and maintains a research group active in bioinformatics and systems medicine. His lab's work is accessible via his research website .

Samaneh Rashidibajganمشاهده پروفایل

مدرس

• Cybersecurity
• Ad Hoc Networks
• Opportunistic Networks (OppNets)
• +۵ مورد دیگر

Dr. Samaneh Rashidibajgan is a Lecturer in Computer Science at the School of Computer Science & Engineering , Constructor University Bremen, Germany. She holds a Doctoral Degree in Information Systems and Cybersecurity from Münster University (2023). Her academic career spans roles as a Research Assistant at Rostock University (2015–2019) and Research & Teaching Assistant at Münster University (2019–2022). Research Interests : Security in Opportunistic Networks (OppNets), Privacy Preservation in Ad Hoc Networks, Solutions for Vehicular OppNets, and Security in Cyber-Physical Systems. She explores blockchain integration for network integrity, machine learning for performance optimization, and trust models to counter attacks like Sybil and selective dropping. Publications : Her work focuses on cybersecurity trends in decentralized systems, including blockchain for OppNets, privacy-preserving routing algorithms, and attack detection mechanisms. Key contributions include cluster-based routing for privacy, trust frameworks for Sybil attacks, and key-sharing methods in OppNets. Work Experience : 2024–Present : Lecturer and Researcher, Constructor University. 2019–2022 : Research & Teaching Assistant, Münster University. 2015–2019 : Research Assistant, Rostock University.

• Wireless Communications
• Information Theory
• Network Security
• +۶ مورد دیگر

Stephen B. Wicker is a Professor at Cornell University's College of Engineering with a distinguished research career spanning over three decades. His work has significantly impacted the fields of wireless communications, information theory, privacy, and security. Wicker has published extensively in top-tier journals and conferences, demonstrating consistent scholarly productivity from the early 1990s through 2021. His research interests include: Wireless network security and privacy Information theory and error control coding Location-based services and privacy implications Digital rights management and consumer protection Blockchain applications for IoT environments Ethical considerations in technology development Legal implications of digital technologies Wicker's recent publications reveal a strategic evolution in his research focus, increasingly addressing the intersection of technical systems with legal and ethical considerations. His work on smartphone privacy and the Fifth Amendment, eBook surveillance, and zero-day exploits demonstrates his unique ability to bridge technical expertise with societal implications. This interdisciplinary approach has positioned him as a thought leader in understanding how technological capabilities intersect with constitutional rights and civil liberties. His scholarly impact is evident through his extensive collaboration network, with significant work alongside researchers like Kolbeinn Karlsson on blockchain for IoT applications, Dipayan P. Ghosh on eBook privacy issues, and Shion Guha on social surveillance in location-based networks. His research has appeared in prestigious venues including Communications of the ACM, IEEE Proceedings, and IEEE Transactions on Information Theory. Wicker has mentored numerous students who have become productive researchers in their own right, including Xiao-an Wang, Hazer Inaltekin, and Kolbeinn Karlsson, who frequently appear as co-authors on his publications. His work continues to address emerging challenges at the intersection of technology, law, and society, making significant contributions to both academic discourse and public policy discussions.

Alexandra Mielkeمشاهده پروفایل

پژوهشگر

• 3D Camera Technology
• Biometric Applications
• Facial Recognition
• +۵ مورد دیگر

Alexandra Mielke is a Research Associate in the Department of Computer Science and a PhD student with an ISF scholarship in the Department of Engineering and Communication at Hochschule Bonn-Rhein-Sieg. She is affiliated with the Institute for Safety and Security Research (ISF). Her work focuses on 3D Time-of-Flight (ToF) camera technologies, particularly in facial biometric applications and super-resolution techniques. Education: Completed her Master’s thesis in 2024 on 3D camera metrics for biometric systems. Current PhD research involves improving low-cost ToF camera performance. Research projects include the Data-Based Super Resolution project for enhancing 3D facial biometric applications and the DKZ.2R initiative supporting interdisciplinary data literacy and high-performance computing. She collaborates on sensor performance evaluation and resilience modeling. Labs/Teams: Active in the Institute for Safety and Security Research (ISF), contributing to cutting-edge 3D imaging solutions. Her work spans multiple disciplines including computer science, electrical engineering, and applied mathematics. Location: Based in Sankt Augustin at Grantham-Allee 20, Room G 037.

Andreas Meyer-Lindenbergمشاهده پروفایل

استاد

• Psychiatry
• Neuroscience
• Systems Neuroscience
• +۳ مورد دیگر

Prof. Dr. Andreas Meyer-Lindenberg serves as Director of the Central Institute of Mental Health (ZI) in Mannheim and Chair of the Department of Psychiatry and Psychotherapy at the University of Heidelberg's Faculty of Medicine. He leads the Systems Neuroscience Psychiatry (SNiP) research group, directing clinical and research operations across the institution's main medical and research facilities. His research focuses on the neural mechanisms underlying psychiatric disorders through integrated approaches combining neuroimaging, genetics, and computational modeling. Key interests include schizophrenia pathophysiology, autism spectrum disorders, genetic risk factors like copy number variations, and environmental impacts such as urbanicity on social stress processing. His work bridges clinical psychiatry with systems neuroscience to identify translational biomarkers and circuit-level disease mechanisms. Analysis of his recent publications reveals dominant trends in psychiatric neuroscience, particularly the convergence of genetic findings with functional neuroimaging to explain cognitive deficits in psychosis. His work consistently explores cortical-striatal circuit dysfunction across multiple disorders, utilizing advanced fMRI techniques to map environmental and pharmacological impacts on brain networks. The publications demonstrate strong emphasis on translational research with direct clinical relevance to schizophrenia and autism. As Director of the Central Institute of Mental Health, he oversees extensive research infrastructure including the SNiP laboratory facilities on the 4th floor of the Research Building. His leadership integrates clinical services in the Main Medical Building with cutting-edge neuroscience research, fostering collaboration between psychiatrists, neuroscientists, and geneticists to advance mechanistic understanding of mental illness.

• French Language Practice
• Romance Studies
• Computer Vision
• +۳ مورد دیگر

Viridiane Fay is a researcher in the Institute of Modern Languages and Romance Studies at the University of Würzburg , specializing in French language practice and applied computational methods. During lecture periods, she holds office hours every Tuesday from 1 p.m. to 2 p.m., with appointments available during semester breaks. Role: French Editor, Language Practice Location: Am Hubland, 97074 Würzburg Contact: viridiane.fay@uni-wuerzburg.de Her research spans two distinct domains: French language pedagogy and computer vision/AI . While her institutional affiliation focuses on Romance Studies, her publication record reveals expertise in: Medical and underwater image processing Transformer-based architectures Federated learning and network optimization Watermarking and security algorithms Multi-modal AI applications Neuroscience signal analysis Recent work includes lightweight segmentation models (e.g., ContextFormer), drone/aerial imagery detection frameworks (CH-YOLO-Lite), and privacy-preserving AI systems (Find). Despite limited biographical details in the scrape, her 30+ publications since 2017 suggest significant technical contributions.

Bernd Finkbeinerمشاهده پروفایل

استاد

• Formal Verification
• Reactive Synthesis
• Hyperproperties
• +۴ مورد دیگر

Prof. Bernd Finkbeiner is a faculty member at CISPA Helmholtz Center for Information Security and holds a Professorship in Computer Science at Saarland University. He earned his Ph.D. in 2003 from Stanford University. Leading the Reactive Systems Group since 2003, now part of CISPA, his research focuses on ensuring safety and security in computer systems through formal methods like specification, program synthesis, and verification. Key projects include output-sensitive reactive synthesis (OSARES), hyperproperty logics (HYPER), and real-time monitoring (RTLOLA). Education : Ph.D. in Computer Science, Stanford University, 2003 His research interests span hyperproperties, formal verification, runtime monitoring of cyber-physical systems, and distributed synthesis. He has pioneered tools like StreamLAB and AutoHyper for hyperproperty analysis. His work on temporal causality and information-flow guided synthesis addresses challenges in distributed and secure systems. Key Achievements : Recipient of ERC Advanced Grant 2022–2027 for Project HYPER Best Paper Awards at ICALP 2009, FSEN 2007, and VMCAI 2012 Leader of the Reactive Systems Group at CISPA Grants & Funding : ERC Advanced Grant supporting research on hyperproperties His lab develops cutting-edge tools for formal methods, including BoSy for bounded synthesis and RTLola for runtime verification. Current research explores compositional synthesis, explainable reactive systems, and robust monitoring for medical and autonomous systems.

• Network Virtualization
• Software-Defined Networking (SDN)
• Context-Aware Systems
• +۴ مورد دیگر

Ahmed Karmouch is a Professor at the University of Ottawa, Canada, affiliated with the College of Engineering and Computer Science. His research focuses on Network Virtualization , Software-Defined Networking (SDN) , and Context-Aware Systems , with significant contributions to Cloud Computing Resource Allocation , Programmable Data-Planes , and Overlay Networks . He has co-authored over 161 publications since 1980, emphasizing scalable infrastructure management, QoS optimization, and autonomic network design. His recent work includes machine learning integration in P4-programmable networks (2024) and survivable IaaS management with SDN (2021). Publications span IEEE Transactions and ACM journals, with frequent collaborations with Nancy Samaan, Abdallah Jarray, and Hamid Harroud. Key research themes: Network Programmability Service Specific Overlay Networks Autonomic Network Management ML for Traffic Optimization Geographically Distributed Cloud

• Communication Networks
• Edge Computing
• IoT
• +۳ مورد دیگر

Admela Jukan is a Chair Professor of Communication Networks at TU Braunschweig, Germany, leading the Chair for Communication Networks within the Institute for Computer and Network Engineering. Her academic journey includes roles at the Institut National de la Recherche Scientifique (INRS), Georgia Tech, and a tenure as NSF Program Director. She is an IEEE Fellow and has received numerous awards, including the IBM Innovation Award and BMBF/CELTIC Excellence Award. Education: Dr.tech (summa cum laude) from TU Wien, M.Sc. from Politecnico di Milano, and Dipl.-Ing. from FER Zagreb. Research focuses on network protocols, edge computing, IoT, optical networks, and animal-computer interaction. She leads EU-funded projects like MARE and MANOLO and serves as Editor-in-Chief for the Journal on Optical Switching and Networking. Awards include IEEE Fellow, NSF recognition, and industry accolades. Her team advises over 30 students, with notable alumni in academia and industry. Active in international conferences and editorial roles, she also blogs on animal-computer interaction at animals-in-computing.com .

Guillermo Bustos-Perezمشاهده پروفایل

پژوهشگر ارشد

• Paleolithic archaeology
• Lithic technology analysis
• Experimental archaeology
• +۳ مورد دیگر

Guillermo Bustos-Perez is a Research Fellow at the Max Planck Institute for Evolutionary Anthropology's Department of Human Origins. His research focuses on Paleolithic stone tool analysis, combining technological examination of production methods and site formation processes with quantitative techniques like 3D scanning, machine learning, and geometric morphometrics. His work primarily investigates Lower/Middle Pleistocene and Middle Paleolithic contexts in Western Europe. Research interests include: Technological organization of lithic tools Experimental archaeology for flake formation and post-depositional alterations Application of ML and 3D morphometrics in lithic analysis He utilizes controlled experiments with glass cores to understand early hominin tool production knowledge. Fieldwork spans sites in Spain, France, and Azerbaijan.

• Protoplanetary disks
• radiative transfer
• planet formation
• +۳ مورد دیگر

Dr. David Melon Fuksman is a researcher at the Planet and Star Formation Department of the Max Planck Institute for Astronomy in Heidelberg, Germany. His work focuses on protoplanetary disks , radiative transfer , planet formation , and numerical fluid dynamics . Contact: +49 6221 528-403, Room 308/2 Research Interests include the study of protoplanetary disk dynamics, radiation hydrodynamics, and numerical simulations of planet formation processes. He also investigates high-energy astrophysical phenomena such as gamma-ray bursts and neutrino production in extreme environments. Publication Trends (15 most recent) span computational astrophysics, radiation hydrodynamics, and multiwavelength analysis of protoplanetary disks. His recent work (2025-2024) emphasizes three-temperature models , spiral structures , and implicit solvers for disk-planet interactions, while earlier studies (2023-2013) explore neutrino astrophysics , binary-driven hypernovae , and observational data analysis . Projects and Tools: Development of the PyPLUTO software package and the MATRICS solver, enabling advanced simulations of astrophysical systems.

• Star Formation
• Planet Formation
• Molecular Clouds
• +۴ مورد دیگر

Jonathan Henshaw is a Researcher in the Department of Planet and Star Formation at the Max Planck Institute for Astronomy (MPIA) in Heidelberg, Germany, where he contributes to the Star Formation research group. His work focuses on observational astrophysics, utilizing cutting-edge facilities like ALMA and JWST to investigate star and planet formation processes across diverse galactic environments from the Milky Way's Galactic Center to nearby extragalactic systems. His primary research interests encompass molecular cloud dynamics, star formation efficiency, and interstellar medium physics. Key specializations include the structure and kinematics of the Central Molecular Zone (CMZ), cloud-cloud collisions, shock-induced star formation, and the role of galactic environments in regulating star formation. He actively analyzes data from major international surveys including PHANGS (Physics at High Angular resolution in Nearby GalaxieS) and ALMA CMZ Exploration Survey (ACES), with particular emphasis on high-resolution gas properties and feedback mechanisms. Analysis of his 15 most recent publications (2023-2025) reveals a strong concentration on Galactic Center phenomena, especially 3D structure modeling of the CMZ using multi-wavelength data. His work consistently bridges observational data with theoretical frameworks to understand star formation laws, with recurring themes including molecular gas depletion times, cloud-scale physics, and the impact of supernova remnants on interstellar clouds. The PHANGS collaboration dominates his extragalactic research, examining star formation across 70+ nearby galaxies at unprecedented resolution. As an active member of MPIA's Star Formation group, Dr. Henshaw participates in collaborative projects analyzing ALMA and JWST datasets to unravel the initial conditions of star and planet formation. His research leverages MPIA's expertise in millimeter-wave astronomy and computational modeling to address fundamental questions about how molecular clouds evolve and fragment under various galactic conditions, with implications for understanding galaxy evolution across cosmic time.

• Digital Circuit Design
• Clock Synchronization
• Distributed Systems
• +۳ مورد دیگر

Max Planck is a Lecturer at the Max Planck Institute for Informatics (MPI-INF), specifically within the Department of Algorithms and Complexity. He co-organized the Winter 2020/21 course How To Clock Your Computer , focusing on theoretical aspects of synchronizing digital circuits. The course adopts a flipped classroom model emphasizing student-led discussions and problem-solving. His research interests center on addressing synchronization challenges in modern chip design through distributed solutions, blending CS theory with hardware realities. Course Role: Co-lecturer alongside Christoph Lenzen and others, overseeing a team of assistant lecturers and PhD student scribes. Research Focus: Clock domain synchronization, metastability mitigation, and gradient synchronization algorithms in distributed systems. Teaching Methodology: Weekly discussion sessions with guided exploration of topics like phase-locked loops and network synchronization. While no personal awards or publications are explicitly mentioned in the text, his academic contributions are reflected through course materials addressing cutting-edge challenges in chip design theory.