جست‌وجوی استاد و پژوهشگر

Alessandro Giffordمشاهده پروفایل

پژوهشگر

• Neuroscience
• Computational Neuroscience
• Machine Learning
• +۳ مورد دیگر

Alessandro Gifford is a PhD candidate in computational neuroscience at the Freie Universität Berlin , affiliated with the Neural Dynamics of Visual Cognition Lab led by Prof. Radoslaw Cichy. His research focuses on understanding visual processing in the human brain using computational approaches, including machine learning and deep learning applied to M/EEG and fMRI data. He is funded by the Einstein Center for Neurosciences Berlin (2020–2023) and is a member of the Bernstein Center for Computational Neuroscience Berlin . Education: Bachelor of Arts in Philosophy, University of Trento, Italy Master of Science in Cognitive Neuroscience, CIMeC, Italy Research Interests: Computational modeling of visual cognition Intersection of biological and artificial vision systems Machine learning applications in neuroscience Grants & Awards: Einstein Center PhD Fellowship (2020–2023) Bernstein Center Membership Supervision: Current: Shreyas Gadge Past: Andrei Kitaitsev, Furkan Özkan Hüseyincan Labs & Collaborations: Active in ERC-funded TRANSFORM project (2025–) investigating brain mechanisms of visual perception across development.

Brielen Madureiraمشاهده پروفایل

پژوهشگر

• Deep Learning
• Dialogue Systems
• Natural Language Processing (NLP)
• +۳ مورد دیگر

Dr. Brielen Madureira is a researcher affiliated with the University of Potsdam's Computational Linguistics Lab (colabPotsdam), where they completed their Ph.D. under Prof. David Schlangen. Their research focuses on bridging Deep Learning models with cognitive science principles to evaluate dialogue processing, particularly in areas like common ground formation and incremental understanding. They hold interdisciplinary expertise in NLP, cognitive science, and ethics of language technologies. Education: M.Sc. in Language Science and Technology (University of Saarland, Germany) - Thesis: Semi-supervised learning for script knowledge extraction B.Sc. in Applied and Computational Mathematics (University of São Paulo, Brazil) Research Interests: Design of theory-driven evaluation methodologies for NLP systems Incremental processing models inspired by human cognition Ethical implications and fairness in language technologies Dialogue systems and collaborative interaction Key Contributions: Developed clembench framework for evaluating conversational agents Advanced understanding of model limitations in incremental dialogue phenomena Pioneered analysis of meta-communicative grounding acts and restart-incrementality Labs/Teams: Core member of colabPotsdam, collaborating with Prof. David Schlangen and the SFB1102 project team at Saarland University.

• Animal Behaviour
• Animal Welfare
• Stress Physiology
• +۴ مورد دیگر

Birger Puppe is a Professor of Behavioural Sciences at the University of Rostock and holds a joint professorship with the Leibniz Institute for Farm Animal Biology (FBN) in Dummerstorf. He leads the Competence Area 'Behaviour and Husbandry' and the 'Animal Behaviour & Welfare' working group at FBN. His research focuses on applied ethology, animal welfare, and the physiological and behavioral aspects of farm animals, particularly pigs and poultry. Since 1989, he has been a Research Scientist at the FBN, advancing to Head of the Institute of Behavioural Physiology (2014–present). His academic credentials include a Doctor of Natural Sciences (1993) and Habilitation (2008) in Behavioural Biology. He teaches courses on behavioural biology, livestock ethology, and animal welfare systems at the University of Rostock's Faculty of Agricultural and Environmental Sciences. Key research interests include social behavior, stress physiology, learning and cognition in animals, bioacoustics, and the methodology of applied ethology. His work emphasizes translating behavioral insights into practical husbandry solutions to enhance animal welfare and productivity. Recent studies involve technological applications like RFID systems for behavior monitoring and cognitive bias testing in pigs. Publications span over 30 years, addressing topics such as vocalization analysis, coping strategies in livestock, and the impact of environmental enrichment. Collaborations include studies on dairy cattle urinary control and greenhouse gas reduction. Puppe's contributions bridge fundamental ethology with applied agricultural practices.

Dirk Janckeمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Optical Imaging
• +۳ مورد دیگر

Prof. Dirk Jancke is a Professor at the Institute of Neural Computation (INI) in the Faculty of Computer Science at Ruhr-Universität Bochum. He holds roles including Vice Speaker of the Collaborative Research Center (CRC) 874 and Vice Speaker of the Research Department of Neuroscience (RDN). His research focuses on brain processing dynamics, particularly plastic reorganization and learning mechanisms using optical imaging and optogenetics. Key techniques include voltage-sensitive dye imaging (VSDI) and optogenetic modulation of neural circuits. His research group investigates how sensory inputs are represented across large neuronal populations, with a focus on visual cortex dynamics and serotonergic modulation. Notable contributions include studies on serotonin receptor 5-HT2A's role in sensory gain control and TMS-induced cortical plasticity. He has authored over 100 peer-reviewed publications, including works in Nature Communications , Proceedings of the National Academy of Sciences , and Trends in Neurosciences . Prof. Jancke teaches courses such as 'Activation Dynamics in Sensory Brain Areas' and 'Neurophysiology of Sensory Processing.' He leads the Jancke-Lab, which combines experimental and computational approaches to understand neural computations underlying perception and behavior. His work bridges molecular-level receptor activity (e.g., via CaMello-XR tools) to whole-brain dynamics, with applications in improving visual prostheses and understanding mental disorders. He serves on the International Graduate School of Neuroscience (IGSN) board and directs the International School of Biosciences. His lab's recent work includes uncovering how single receptor types modulate cortical activity and applying optogenetic methods to study synaptic plasticity in the cerebellum.

Michel Alexisمشاهده پروفایل

استادیار

• Harmonic Analysis
• Nonlinear Fourier Analysis
• Quantum Signal Processing
• +۳ مورد دیگر

Micel Alexis is an upcoming Assistant Professor of Mathematics at Clemson University, starting January 2026. Currently, he is a postdoctoral researcher at the Hausdorff Center for Mathematics, University of Bonn, working with Christoph Thiele. His research focuses on Harmonic Analysis, particularly Two-Weight Norm Inequalities for Singular Integrals, Nonlinear Fourier Analysis, and applications to Quantum Signal Processing. He completed his PhD at the University of Wisconsin-Madison under Sergey Denisov and held postdoctoral positions at McMaster University and the University of Bonn. Education: PhD in Mathematics, University of Wisconsin-Madison (2016-2021) BA in Mathematics, Northwestern University (2012-2016) Research Interests: His work spans Weighted Norm Inequalities, Orthogonal Polynomials on the Unit Circle, and Quantum Computing applications of Nonlinear Fourier Analysis. He actively collaborates with researchers like Lin Lin, Gevorg Mnatsakanyan, and Ignacio Uriarte-Tuero. Awards: Departmental Outstanding TA Award (2021) Multiple 'Superior TA' ratings from CTAPP (2016-2021) 'TA of the Month' Award (2016) Teaching & Service: Taught courses at UW-Madison and McMaster University, including Calculus and PDEs. Co-organized seminars at Bonn and UW-Madison, and served on academic committees such as the Graduate Program Committee and Town-Hall Committee.

Peter Imkellerمشاهده پروفایل

استاد

• Stochastic Differential Equations
• Stochastic Dynamics
• Climate Models
• +۵ مورد دیگر

Prof. Dr. Peter Imkeller is a retired professor at the Humboldt University of Berlin, affiliated with the Institute of Mathematics within the Faculty of Mathematics and Natural Sciences. His research focuses on stochastic differential equations, stochastic dynamics, climate models, financial mathematics, and Lévy processes. He has contributed extensively to the understanding of stochastic resonance, metastability, and the application of stochastic analysis in climate science and finance. His work includes studies on energy balance models, insider trading dynamics, and the analysis of stochastic partial differential equations with non-Lipschitz coefficients. Imkeller's research spans interdisciplinary areas such as stochastic climate models, financial market modeling with asymmetric information, and the mathematical foundations of stochastic processes. His publications highlight contributions to backward stochastic differential equations (BSDEs), Malliavin calculus, and the analysis of exit times in stochastic systems. He has collaborated internationally, contributing to edited volumes and conference proceedings on stochastic dynamics and climate science. His work on Lévy-driven diffusions and stochastic parameterization has advanced methodologies for modeling complex systems, including weather and climate models. Imkeller’s research bridges theoretical probability with practical applications in finance, environmental science, and engineering, reflecting a commitment to both foundational and applied stochastic analysis.

Frank M. Hilkerمشاهده پروفایل

استاد

• Mathematical Ecology
• Epidemiology
• Population Dynamics
• +۶ مورد دیگر

Frank M. Hilker is a full Professor of Applied Systems Science at the University of Osnabrück, jointly appointed at the Institute for Environmental Systems Research and the Institute of Mathematics. Since 2014 he has led a research group focused on mathematical ecology, epidemiology and coupled human-environment systems. Education 2005 – Dr. rer. nat. (Applied Systems Science), University of Osnabrück, Dissertation: Spatiotemporal patterns in models of biological invasion and epidemic spread 2002 – Dipl.-Systemwissenschaftler (MSc equivalent), University of Osnabrück Research Interests His research integrates dynamical-systems theory with ecology and epidemiology to understand complex population processes such as biological invasions, disease spread, Allee effects, regime shifts, and human-environment feedbacks. Spatial and game-theoretic aspects are central themes. Methodological expertise covers ordinary & partial differential equations, difference equations, agent-based modelling, optimal control, and early-warning indicators for critical transitions. Research Output & Impact Across 100+ peer-reviewed publications he has advanced theory on pathogen-mediated invasions, harvesting-induced hydra effects, spatial rescue and synchrony, and the interplay between social norms and ecological dynamics. Recent work addresses regime-shift prediction and sustainable management of renewable resources. Scientific Awards Rollie Lamberson Research Award 2022 Bellman Prize 2017 Lord Robert May Prize 2012 Alberta Ingenuity & Killam Postdoctoral Fellowships JSPS Fellowship 2004 Student Supervision & Grants Hilker currently supervises numerous doctoral and master’s students (names highlighted in bold in his publication list) and leads externally funded projects on spatiotemporal population dynamics in rivers and data-science early-warning methods for regime shifts . Editorial & Service Roles He serves on the editorial boards of Mathematics and Computers in Simulation , Ecological Complexity and previously Journal of Biological Dynamics . He is a regular organiser and keynote speaker at major international conferences such as ECMTB, MPDEE and SMB.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Jian Chen is a prolific academic researcher with affiliations across multiple institutions worldwide, primarily in China but also including international universities. The DBLP disambiguation page lists 47 distinct individuals with this name, working in various departments including Computer Science, Electrical Engineering, Telecommunications Engineering, and other technical fields at prestigious institutions such as Zhejiang University, Xidian University, Northeastern University, and Ohio State University. Research interests span a wide range of technical domains including artificial intelligence, machine learning, computer vision, network security, medical imaging, and electrical engineering. Recent publications indicate active research in deep learning applications, image processing, trajectory analysis, and biomedical informatics. The publication output is substantial, with numerous papers appearing in IEEE Access, Pattern Recognition, and other high-impact journals. The research trends show a strong focus on practical AI applications across multiple domains, with particular emphasis on medical imaging, network security, and intelligent control systems. Many publications involve collaborative work with researchers across different institutions, indicating an active research network. While specific awards are not listed in the provided DBLP information, the volume and quality of publications suggest recognition within the academic community. The research output demonstrates expertise in both theoretical development and practical implementation of computational methods. Jian Chen appears to be actively mentoring students, as evidenced by the numerous collaborative publications, though specific student names aren't detailed in the DBLP records. The research spans both fundamental algorithm development and applied problem-solving across various engineering and computer science domains.

• Precision Livestock Farming
• Data analysis
• Image and signal processing
• +۳ مورد دیگر

Dr. Helen Schomburg is a Researcher at the Institute for Animal Welfare and Animal Husbandry (ITT), based at the Experimental Station Celle. Her work focuses on Precision Livestock Farming, data analysis, and machine learning applications in animal husbandry. She actively participates in key research projects such as 'ErhEb,' evaluating digital monitoring methods for pig farming, and the European Partnership Animal Health & Welfare, assessing sentience in slaughter animals. Her expertise spans pattern recognition and image/signal processing for agricultural systems. Her research aligns with the ITT's mission to improve animal welfare through innovative technologies. Collaborating with other scientists like Prof. Dr. L. Schrader and Dr. A. Patt, she contributes to interdisciplinary projects addressing modern challenges in livestock management. The Celle Experimental Station provides a practical environment for her applied research.

Daniel J. Rixenمشاهده پروفایل

استاد

• Structural Dynamics
• Robotics
• Mechatronics
• +۵ مورد دیگر

Prof. Daniel J. Rixen is a full Professor and Head of the Department of Applied Mechanics at Technische Universität München (TUM). With over 25 years of expertise, his research focuses on structural dynamics, robotics, and mechatronics, integrating theoretical, numerical, and experimental approaches. He holds a Doctorate from the University of Liège (1997) and has held academic leadership roles at TU Delft and TUM. Education: Engineering Degree (Electro-Mechanics), University of Liège (Belgium) MSc in Aerospace Vehicle Design, Cranfield University (UK) PhD in Engineering, University of Liège (Belgium) Research Interests: His work spans robotics path planning, nonlinear structural dynamics, model reduction, and parallel computing applications in aerospace, automotive, and medical instrumentation. Collaborations with industry partners drive innovations in wind energy, mechatronics, and microsystems. Key Contributions: His 2017 IEEE Robotics paper advanced real-time path planning for bipedal robots, while his textbook Mechanical Vibrations (3rd ed., 2015) remains a foundational resource. Hyper-reduction techniques for nonlinear dynamics and impulse-based substructuring methods highlight his computational mechanics expertise. Awards: Best Lecturer Award (TU Delft, 2009 & 2010) Advising & Collaborations: Leads TUM’s Applied Mechanics group, with industry ties in aeronautics and medical devices. No specific student names or grant details provided in the text. Labs/Teams: Research integrates academic-industry partnerships, focusing on robotics control and multiphysical system modeling through TUM’s Engineering and Design School infrastructure.

Rebecca Lennartzمشاهده پروفایل

پژوهشگر

• Machine Learning
• Biomedical Engineering
• Sports Biomechanics
• +۳ مورد دیگر

Rebecca Lennartz is a Researcher and Doctoral Candidate at Friedrich-Alexander University Erlangen-Nuremberg (FAU), affiliated with the Machine Learning and Data Analytics Lab within the Department of Artificial Intelligence in Biomedical Engineering (AIBE). Her work focuses on Sports Analytics, biosignal processing, and applying machine learning to sports performance and biomechanics. Education includes an M.Sc. in Medical Engineering (Medical Image and Data Processing) from FAU (2020–2022), a B.Sc. in Medical Engineering (Industrial MedTec) from Furtwangen University (2016–2020), and studies abroad at the University of New Brunswick (2019–2020). She has completed internships at TRUMPF Laser GmbH and Aesculap AG, and was a Visiting Student at the University of Calgary's Human Performance Lab (2022). Her research explores the impact of protective equipment on athlete motion, gamification in sports motivation, and running biomechanics using neural networks. She collaborates with institutions like Siemens and the Human Performance Lab (University of Calgary) through supervised projects. Recent work includes studies on ice hockey gear restrictions and motivation analysis in soccer using biosignals. Teaching contributions include supervising projects like xSprint (2025), OneSpot (2024), and developing apps for health and sports analytics. She has advised multiple Master's and Bachelor's theses on topics ranging from AI in sports performance to nutritional analysis.

Hector Munoz Hernandezمشاهده پروفایل

پژوهشگر

• Computer Engineering
• Embedded Systems
• VLSI Design
• +۳ مورد دیگر

Hector Munoz Hernandez is a Researcher at the Brandenburg Technical University of Cottbus-Senftenberg, affiliated with the Department of Computer Engineering and part of the UBICO Team. He holds a position as Senior Employee within the Computer Engineering Group. His research interests include advanced topics in computer engineering such as embedded systems, VLSI design, and hardware-software co-design. While no specific scientific awards or detailed publications are listed, his involvement with the Computer Engineering Group suggests active contributions to interdisciplinary projects. His work aligns with the broader goals of the university's technical research initiatives. No advising roles or grants are explicitly mentioned, though his role in the UBICO Team implies participation in collaborative projects. The Computer Engineering Group provides a platform for experimental and applied research in cutting-edge technologies.

• Computer Science
• Electrical Engineering
• Machine Learning
• +۳ مورد دیگر

Xue Jiang is a faculty member at Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering, China. Their research focuses on interdisciplinary areas including machine learning, signal processing, biomedical engineering, and cybersecurity. With a prolific publication record, they specialize in neural networks, fault diagnosis systems, federated learning, and brain-computer interfaces. Key research interests include developing intelligent algorithms for fault detection in mechanical systems, advancing medical imaging techniques through deep learning, and enhancing privacy in distributed data frameworks. Their work spans applications in robotics, cybersecurity, and bioinformatics. Notable contributions include adversarial robustness studies for EEG-based systems and PML-based computational methods for wave propagation analysis. Publications highlight innovations across engineering and computer science, with a focus on practical implementations in real-world systems. Collaborations with institutions like the Hong Kong University of Science and Technology and Harbin Institute of Technology reflect their extensive academic network.

Gerd von Cöllnمشاهده پروفایل

استاد

• Energy-Efficient Systems
• Embedded Systems
• Cyber-Physical Systems
• +۵ مورد دیگر

Prof. Gerd von Cölln is a Professor of Computer Architecture at the School of Technology, Electrical Engineering and Computer Science, University of Applied Sciences Emden/Leer. His primary focus is on energy-efficient and autonomous systems, particularly in embedded and cyber-physical systems. He leads research in energy-autonomous sensors, low-power electronics, and IoT applications. Education details are not explicitly provided in the text, but his academic role suggests advanced qualifications in electrical engineering or computer science. His research projects include Sichere Offshore-Operationen (SOOP), Energieautarke Sensorsysteme (ID3AS), and LoRaWAN-based sensors (ELVIS), demonstrating expertise in industrial automation, sensor networks, and energy harvesting. Publications emphasize sensor design, wireless communication protocols, and optimization algorithms for complex environments. While no awards are listed, his extensive project portfolio highlights contributions to applied engineering research. Advising details are unavailable, but his role implies supervision of technical projects involving students and industry partners. Prof. von Cölln collaborates on labs and teams focused on maritime automation, industrial IoT, and embedded systems, with projects addressing challenges like harsh environmental conditions and energy sustainability.

• Music Informatics
• Musicology
• Computer Science
• +۳ مورد دیگر

Prof. Marlon Schumacher is a Professor at the Hochschule für Musik Karlsruhe, affiliated with the Institute for Music Informatics and Musicology. His research focuses on intersections of music, technology, and informatics, including areas such as digital signal processing, acoustics, and music technology. He holds a doctoral title and contributes to advancing computational methods in musicology. While specific publications are not listed here, his work likely bridges theoretical and applied aspects of music informatics. Contact him via email for further inquiries.