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Eberhard BodenschatzView profile

Professor

• Biophysics
• Medical Physics
• Fluid Dynamics
• +4 more

Prof. Dr. Eberhard Bodenschatz is a Professor of Physics at the University of Göttingen and Director of the Max Planck Institute for Dynamics and Self-Organization (MPI-ds). He holds adjunct professorships at Cornell University in both Physics and Mechanical and Aerospace Engineering. His research focuses on the physics of dynamics and self-organization in biological, environmental, and fluid systems, including synthetic biology, medical physics, turbulence, and atmospheric processes. He has held academic positions at Cornell University since 1992, advancing from Assistant to Full Professor, and has led the MPI-ds since 2003. Education: 1985: Diploma in Physics (minor: Polymer Chemistry), University of Bayreuth 1989: Doctoral Thesis in Theoretical Physics, University of Bayreuth Research Interests: Bottom-Up Synthetic Biology: Engineering bio-synthetic cilia and directed transport networks in biological systems. Medical Physics: Investigating heart mechanics, muscle contraction, and soft tissue dynamics. Turbulence: Studying fully developed turbulent flows in fluids and their statistical properties. Atmospheric Physics: Modeling respiratory aerosols and their role in disease transmission. Publications: Recent work spans interdisciplinary topics such as curvotaxis in cells, cardiac pressure-volume models, and aerosol-driven disease spread. His research bridges fundamental physics with applications in medicine and environmental science. Affiliations: Bodenschatz is affiliated with the GGNB programs in Physics of Biological and Complex Systems, Theoretical and Computational Neuroscience, Genome Science, and Molecular Medicine. He has led the CPTS as Chair (2014–2017) and contributed to the MPI Senate.

• High-Performance Computing (HPC)
• Parallel and Distributed Systems
• Load Balancing
• +4 more

Florina M. Ciorba is a Professor in the field of High-Performance Computing (HPC), affiliated with the University of Basel. Her research focuses on parallel algorithms, fault-tolerant systems, dynamic load balancing, and energy-efficient computing. She has contributed extensively to HPC workflows, scheduling techniques, and resilient numerical methods for extreme-scale simulations. Key research areas include: Parallel and distributed systems Load balancing and scheduling algorithms Fault tolerance mechanisms GPU and heterogeneous computing Energy-aware HPC applications Recent work emphasizes scalable particle simulations, application classification using ML, and optimizing astrophysics workflows. She collaborates with international teams on standards like SPEChpc 2021 benchmarks and HPC operational autonomy loops. Publications span top venues including IEEE Transactions on Parallel and Distributed Systems, Euro-Par, and Cluster conferences. Her work addresses both algorithmic innovations and software implementations for next-generation HPC platforms.

• High-Performance Computing
• Parallel Computing
• Distributed Systems
• +4 more

George Bosilca is a Professor at the University of Tennessee, Knoxville, specializing in high-performance computing and parallel systems. With over two decades of research contributions, he has established himself as a leading expert in task-based runtime systems, distributed computing, and MPI implementations. His research focuses on developing and optimizing task-based runtime systems for extreme-scale computing environments, with particular emphasis on fault tolerance, performance optimization, and scalability. Bosilca's work spans multiple domains including scientific computing, climate modeling, and deep learning applications. He has made significant contributions to the PaRSEC runtime system and has extensively researched MPI optimization techniques for modern HPC architectures. The trend in Bosilca's recent publications demonstrates a strong focus on addressing challenges in exascale computing, including fault tolerance in distributed systems, GPU acceleration for scientific workloads, and energy-efficient computing techniques. His work bridges theoretical computer science with practical implementations for real-world scientific applications across various domains. Bosilca maintains extensive collaborations with leading researchers in the HPC community, most notably with Jack J. Dongarra (103 co-publications), Aurelien Bouteiller (60 co-publications), and Thomas Hérault (54 co-publications). These collaborations have resulted in numerous publications at top-tier conferences including SC, IPDPS, and EuroMPI, as well as in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems and the International Journal of High Performance Computing Applications.

• High-Performance Computing
• Energy Efficiency
• Parallel Computing
• +3 more

Ananta Tiwari is a researcher specializing in High-Performance Computing (HPC), energy efficiency, and parallel system optimization. His work focuses on optimizing HPC applications, workload management, and resource allocation strategies to enhance both performance and energy efficiency. Tiwari has collaborated extensively with institutions like the University of Maryland, UC San Diego, and Lawrence Livermore National Laboratory through his research activities. Education: PhD in Computer Science, University of Maryland, College Park (2011) Research Interests: Energy-efficient HPC systems Parallel application auto-tuning frameworks Workload characterization and extrapolation Node-sharing and resource pricing models ARM architecture optimization for HPC Key Contributions: Tiwari's research spans energy optimization techniques for large-scale MPI applications, colocation strategies for HPC workloads, and binary instrumentation tools for program analysis. His work on auto-tuning frameworks and multi-objective modeling with machine learning addresses critical challenges in balancing performance, power consumption, and scalability in modern HPC environments.

• Parallel Algorithms & Architectures
• Distributed Systems & Databases
• Multiprocessor Operating Systems
• +5 more

Vassilios Mamalis is a full Professor at the University of West Attica (UniWA) in the Department of Informatics and Computer Engineering, and an external academic partner at the Hellenic Open University (HOU). He holds a Diploma and Ph.D. in Computer Engineering and Informatics from the University of Patras (1993 and 1998). His career includes over 25 years of academic and research experience, with roles at the Technological Educational Institute of Athens and RACTI. His research focuses on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. Education: 1988-1993: Diploma in Computer Engineering & Informatics, University of Patras 1994-1998: Ph.D. in Computer Engineering & Informatics, University of Patras Research Interests include: Parallel Algorithms & Architectures Distributed Systems & Databases Wireless Sensor Networks Cloud Computing & IoT Information Retrieval He has authored 15+ journal articles , contributed to 2 books, and participated in numerous EU and Greek government-funded research programs. His teaching spans undergraduate and postgraduate courses in Operating Systems, Parallel Computing, and Distributed Systems. Current doctoral advisees include Vasiliki Giannou and Leontios Sotiriadis. Research contributions include work on energy-efficient WSN clustering, hybrid GPU-CPU parallelization, and cloud task scheduling. He has led projects like the PROSENS and PROTEAS initiatives, and serves on editorial boards and conference committees.

• Affective Neurosciences
• Brain-Heart Interactions
• Virtual Reality
• +3 more

Antonin Fourcade is a Doctoral Researcher affiliated with Charité Universitätsmedizin Berlin and the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS) in Leipzig. His research focuses on multimodal affective computing within naturalistic settings, particularly leveraging virtual reality (VR), EEG/ECG technologies, and computational tools like Python and MATLAB. He is part of the Neurology/Mind-Body-Emotion group and the Max-Planck School of Cognition. Education: 2007-2010: Biomedical Engineering diploma (PHELMA, France) 2016-2019: Master in Social Affective and Cognitive Neuroscience (Freie Universität Berlin) 2019-present: Doctoral program at the Max-Planck School of Cognition His research interests span affective neuroscience, brain-heart interactions, and the application of immersive VR for studying emotional experiences. Recent work emphasizes real-time affect tracking in VR environments and interoceptive alterations in psychiatric disorders like schizophrenia. Advisors: Dr. Michael Gaebler and Prof. Arno Villringer. Collaborations include MPI-CBS (Leipzig) and the Max Planck Institute for Dynamics and Self-Organization (MPDCC, Berlin). Labs/Teams: Active in the Mind-Body-Emotion research group at MPI-CBS, focusing on translational neuroscience and neurotechnology integration.

• Biogeochemistry
• Environmental Modeling
• Data Integration
• +3 more

Hoontaek Lee is a Doctoral Researcher at the Max Planck Institute for Biogeochemistry in Jena, Germany. He is affiliated with the Department of Biogeochemical Integration (BGI) and the Model-Data Integration Research Group under Prof. Reichstein. His work focuses on advancing global diagnostic models and integrating observational data with theoretical frameworks to understand Earth's biogeochemical cycles. Lee is enrolled in the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC), a collaborative PhD program emphasizing interdisciplinary training in environmental science. His research interests include developing methodologies for model-data fusion, quantifying ecosystem processes, and improving predictive accuracy in climate-related models. He is based at the institute's headquarters in Jena, contributing to projects within the Biogeochemical Integration department. While no specific awards or publications are listed here, his affiliation with the MPI and IMPRS-gBGC reflects a strong commitment to cutting-edge environmental research.

• Programming Languages
• Formal Verification
• Software Engineering
• +3 more

Prof. Ralf Jung is an Assistant Professor at ETH Zürich's Department of Computer Science, leading the Programming Language Foundations Lab under the Institute for Programming Languages and Systems. His work focuses on formal verification of programming languages, particularly Rust and Iris. Previously, he earned his PhD at Saarland University and MPI-SWS, advised by Derek Dreyer, followed by a postdoc at MIT CSAIL's PDOS group. Research Interests: Formal foundations of Rust, including tools like Miri for detecting undefined behavior and MiniRust for precise specification. Iris logical framework for modular verification of programming languages at scale. Concurrent and distributed systems verification using separation logic. Advising & Labs: He leads the Programming Language Foundations Lab and is hiring postdocs. His work integrates theoretical rigor with practical tooling for real-world language verification challenges. Labs/Teams: Programming Language Foundations Lab at ETH Zürich, collaborating with the Rust language team and global research community.

Martin ClaußenView profile

Professor

• Climate Variability
• Carbon Cycle Dynamics
• Vegetation-Climate Interactions
• +3 more

Prof. Martin Claußen is a retired Professor of General Meteorology at the University of Hamburg and an Emeritus Director at the Max Planck Institute for Meteorology. He leads the 'Dynamics of the Climate-Vegetation System' research group, focusing on interactions between climate, vegetation, and land surfaces. His affiliations include the Center for Earth System Research and Sustainability (CEN) and the Meteorological Institute at Hamburg. Education: PhD in Meteorology (1984) and Habilitation in Theoretical Climatology (1991), both from the University of Hamburg. Early career included postdoctoral work at MIT and the GKSS Research Center. Research Interests: Climate variability, vegetation-climate feedbacks, paleoclimatology, and Earth system modeling. Notable work includes studies on the Sahara's 'Green Sahara' phase, orbital forcing impacts, and abrupt climate transitions. Publications: Over 100 peer-reviewed articles, including influential studies in Nature Communications , Climate of the Past , and Journal of Climate . Recent work focuses on Holocene climate-vegetation dynamics and Earth system model development (e.g., ICON-ESM). Awards: Recipient of the Milutin Milankovic Medal (2005), membership in the Leopoldina (2003), and the Johannes Georgi Prize (2016). Long-standing leadership roles in climate research networks like CliSAP and COSMOS. Grants & Labs: Led the Excellence Cluster Integrated Climate System Analysis and Prediction (2007–2014). Active in international initiatives like the IGBP and GEWEX programs.

• High Performance Computing
• Sparse Matrix Computations
• Parallel Computing
• +3 more

Michele Martone is a Researcher at the High Performance Systems Division of the Leibniz Supercomputing Centre (LRZ) in Garching, Germany. His work focuses on High Performance Computing (HPC) , sparse matrix computations , and code restructuring techniques , with a strong emphasis on OpenMP/MPI parallelization and semantic patching using the Coccinelle tool. Research Interests : HPC, automated code restructuring, sparse matrix optimization, semantic patching, and free/open source software (FLOSS) development. Key Tools : Author of the librsb library for sparse matrix operations, SparseRSB for Octave, PyRSB for Python integration, and the FIM image viewer. Publications : His recent work includes semantic patching for HPC refactorings, Coccinelle-based tooling, and performance optimization of sparse linear algebra libraries. Teaching : Delivers trainings and talks on Coccinelle, OpenMP/MPI, and FLOSS at events like HIPS25 , FOSDEM , and deRSE conferences. Advocacy : Strongly promotes free software, transparency in science, and public access to code developed with taxpayer funding.

• Programming Languages
• Formal Methods
• Compilers
• +3 more

François Pessaux is a Lecturer in the Computer Science and Systems Engineering Unit (U2IS) at ENSTA ParisTech. He specializes in programming languages, formal methods, and compiler design, with a focus on topics such as type systems, formal verification, and hybrid systems simulation. His work includes contributions to the FoCaLiZe framework for formal integrated development environments and the analysis of critical software systems. Education & Teaching: Teaches courses such as Algorithms and Programming (IN101), Advanced C Language (IN102-MPI), Around Logic (IN103-MPI), and Principles of Programming Languages and Compilation (IN213). Research Interests: His research spans programming language semantics, formal methods for software verification, and the design of tools for critical systems. Notable areas include: Formal specification and verification techniques using FoCaLiZe. Type-based analysis for exception handling and dependency management. Hybrid systems simulation through projects like Zélus and DynIbex. Publications: Over 12 key publications since 1997, including seminal work on FoCaLiZe, type systems, and exception analysis. Labs/Teams: Active contributor to the FoCaLiZe project and related formal methods initiatives.

Ivo F. SbalzariniView profile

Professor

• Computational Biology
• Systems Biology
• Scientific Computing
• +7 more

Prof. Dr. Ivo F. Sbalzarini is a Professor of Computer Science and holds the Chair of Scientific Computing for Systems Biology at TU Dresden. He is also a tenured Senior Research Group Leader at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and Director of the Center for Systems Biology Dresden (CSBD). His academic journey includes a Diploma in Mechanical Engineering from ETH Zurich (2002) and a Doctorate in Computer Science from ETH Zurich (2006), awarded the Chorafas Prize. He has held roles such as Dean of the Faculty of Computer Science at TU Dresden (2021–2025) and Co-Spokesperson of the International Max Planck Research School for Cell, Developmental, and Systems Biology (IMPRS-CellDevoSys). Research interests focus on particle methods for image-based computational biology, including multi-scale simulations, data-driven modeling, and parallel high-performance computing. Applications include systems biology of development and active matter. His work integrates computational approaches with biological systems to understand cellular processes and tissue morphogenesis. Notable contributions include the development of the MOSAIC Group, a transdisciplinary research team, and leadership roles in initiatives like the Center for Advanced Modeling and Simulation (CAMS) and the Cluster of Excellence Physics of Life (PoL). He also founded TU Dresden's Computational Modeling and Simulation Master’s program. Prof. Sbalzarini has advised numerous PhD students and postdocs, with research spanning bioimage analysis, stochastic simulation algorithms, and adaptive particle methods. His awards include the Willi Studer Prize and Chorafas Prize, recognizing his academic and research excellence.

• Real-time Systems
• Operating Systems
• Information Theory
• +3 more

Dr. Carlos A. Rincon C. is an Instructional Assistant Professor in the Computer Science Department at the University of Houston. His research focuses on real-time systems, operating systems, information theory applications to scheduling, and storage systems. He holds a PhD in Computer Science from the University of Houston and has industry experience in software development prior to his academic career. Current research projects include optimizing probabilistic compression algorithms based on symbol position, developing machine learning models for disk failure prediction in heterogeneous environments, and applying information theory principles to real-time multiprocessor scheduling. His work bridges theoretical computer science with practical system optimization challenges. Dr. Rincon teaches core computer science courses including Operating Systems (COSC 3360) and Introduction to Programming (COSC 1437), with learning objectives centered on foundational concepts in system design, process management, memory management, and object-oriented programming principles. As Director of the ConocoPhillips Computer Science Learning Center, he oversees academic support programs and resources for computer science students. His pedagogical approach emphasizes algorithmic thinking and practical problem-solving skills development.

Amparo Acker-PalmerView profile

Professor

• Developmental Neurobiology
• Synaptic plasticity
• Neurovascular Link
• +4 more

Amparo Acker-Palmer is a Full Professor and Chair of the Molecular and Cellular Neurobiology at Goethe University Frankfurt's Biology Faculty, holding this position since 2011. She is also a Faculty member of the Focus Program Translational Neurosciences (FTN) at Johannes Gutenberg University Mainz since 2012, and a Max Planck Fellow at the MPI for Brain Research in Frankfurt since July 2014. Education: Bachelor of Biology (Biochemistry), Valencia University (1986-1991) PhD from Valencia University (1992-1996) with thesis on 'Characterization of the proteasome in different subcellular locations' (summa cum laude) Visiting research scientist at University of Leicester's Department of Biochemistry (1992/93/94) Amparo Acker-Palmer's research spans multiple interconnected fields at the intersection of neuroscience and vascular biology. Her work focuses on developmental neurobiology, particularly synapse formation, dendritic arborization, and cortex development. She investigates synaptic plasticity mechanisms involving Eph/ephrin and reelin signaling, and has pioneered research on the neurovascular link, examining how blood vessels instruct neuronal migration and synapse formation. Her studies on the Blood Brain Barrier explore Reelin, VEGFR and ephrinB signaling, while her angiogenesis research covers both developmental retinal angiogenesis and pathological tumor angiogenesis. Her tumor biology work addresses glioma progression and brain metastasis. Her publication record reveals strong emphasis on molecular mechanisms underlying neurovascular interactions, with consistent high-impact publications in top journals including Nature, Cell, and PNAS. The research shows evolution from early work on proteasomes and receptor signaling toward increasingly sophisticated investigations of neurovascular coupling mechanisms. Scientific Awards: Max Planck Fellow (2014) Member of the German National Academy of Sciences Leopoldina (2012) Gutenberg Forschungskolleg (GFK) Fellow (2012) Paul Ehrlich and Ludwig Darmstädter Prize for Young Investigators (2010) Ph.D. Extraordinary Award by Valencia University (1997) Amparo Acker-Palmer has established herself as a leading researcher through her independent group leadership at the Max Planck Institute of Neurobiology (2001-2007) and subsequent W2 Professorship in the Cluster of Excellence 'Macromolecular Complexes' at Goethe University Frankfurt (2007-2011). She leads the Research Group Neurovascular Link at the MPI for Brain Research and maintains affiliations with multiple prestigious research networks including the Cluster of Excellence 'Macromolecular Complexes' (CEF) and Cluster of Excellence 'Cardio-Pulmonary System' (ECCPS). Her collaborative work spans multiple institutions and has secured significant recognition including the Paul Ehrlich Prize for Young Investigators. She directs the Department of Molecular and Cellular Neurobiology at Goethe University Frankfurt, leads the Neurovascular Link research group at the MPI for Brain Research, and participates in the Focus Program Translational Neurosciences at Johannes Gutenberg University. Her laboratory investigates the molecular mechanisms underlying the interactions between the nervous and vascular systems during development and in disease contexts, with particular emphasis on Eph/ephrin signaling pathways.

Naveen GargView profile

Professor

• Algorithms Design
• Approximation Algorithms
• Combinatorial Optimization
• +3 more

Naveen Garg is the Usha Hasteer Chair Professor in the Computer Science and Engineering Department at IIT Delhi. He earned his Ph.D. in 1994 and joined IIT Delhi as an Assistant Professor in 1997 after postdoctoral research at MPI-Informatik, Saarbruecken. He coordinates the UQ-IITD Academy of Research (UQIDAR). His research focuses on algorithms design, approximation algorithms for NP-hard problems, combinatorial optimization, and graph theory. He advises students on research projects and mentors through the department's structured programs. Contact: naveen@cse.iitd.ac.in. Research Interests: Approximation algorithms for NP-hard problems Combinatorial optimization Graph theory applications Algorithmic game theory Publications: Over 40 papers in top venues, focusing on network optimization, scheduling algorithms, and facility location problems. Active in conferences like ICALP and APPROX/RANDOM.