Max Born Institute for Nonlinear Optics and Short Pulse SpectroscopyGermany
Dejan Milosevic is a Professor at the Max Born Institute, Berlin , specializing in the Imaging and Coherent X-rays department. His research focuses on Strong-Field Physics, Atomic Physics, Quantum Optics, and Ultrafast Phenomena , particularly in laser-induced ionization and attosecond dynamics. Key areas include Coherent X-ray Imaging and Nonlinear Optics Investigates electron emission mechanisms and quantum orbit dynamics under intense laser fields Develops asymptotic methods for theoretical modeling of high-intensity light-matter interactions His recent work explores Wigner time delay , nondipole effects , and polarization-controlled harmonic generation , contributing to understanding attosecond processes and quantum coherence phenomena . Contact: dejan.milosevic@mbi-berlin.de
Max Born Institute for Nonlinear Optics and Short Pulse SpectroscopyGermany
Wilhelm Becker is a Researcher at the Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy, where he leads the Strongfield Theory Group. His research focuses on fundamental aspects of laser-matter interactions, particularly in strong-field physics, nonlinear optics, and quantum dynamics. He explores phenomena such as high-order harmonic generation, photoelectron spectra, electron dynamics in laser-driven systems, and the effects of tailored laser fields on atomic and molecular processes. Key areas of investigation include the theoretical analysis of strong-field ionization mechanisms, symmetry properties in photoelectron spectra, and the generation of attosecond pulses using two-color laser fields. His work bridges quantum mechanics and classical models to understand electron trajectories and ionization pathways in ultra-intense laser environments. Becker’s contributions span theoretical advancements in molecular alignment effects, polarization-dependent processes, and the application of saddle-point methods to ionization dynamics. His research has implications for novel light sources and ultrafast spectroscopy techniques.
Max Planck Institute for the Physics of Complex SystemsGermany
Sebastian Wüster is a Professor in the Department of Physics at the Indian Institute of Science Education and Research (IISER) Bhopal, leading the Quantum Dynamics of Complex Systems Group. His research focuses on cold atomic physics, quantum simulations, and Rydberg systems. He collaborates with institutions like the Max-Planck Society, NTU Singapore, and ANU Australia. His group explores phenomena such as Rydberg aggregates, Bose-Einstein condensates, and quantum optomechanics. Wüster teaches advanced quantum mechanics and has advised numerous PhD/iPhD students and BSMS scholars. His work bridges fundamental quantum dynamics with experimental implementations in ultracold atomic systems. Research interests include Rydberg physics, quantum transport, and analogue gravity, with a focus on energy transport in quantum systems and conical intersections in cold gases. His group uses advanced computational tools like XMDS2 for simulating many-body quantum problems. Collaborative efforts span international partnerships, including the Max-Planck-IISER Partner group. Advising includes students working on topics like quantum network tomography, exciton switching, and mesoscopic entanglement. The lab leverages high-performance computing resources at IISER Bhopal. Wüster’s research has led to publications in top journals like Phys. Rev. Lett. and New J. Phys., with contributions to quantum simulation and optomechanical systems.
Max Planck Institute for Dynamics and Self-OrganizationGermany
Eberhard Bodenschatz is a Professor of Physics at Georg-August University Göttingen and a Director/Scientific Member at the Max Planck Institute for Dynamics and Self-Organization (MPIDS). He has held leadership roles including Managing Director of MPIDS (2017–2020, 2011–2013) and Co-Director of the Max Planck University of Twente Centre on Complex Fluid Dynamics (2017–2022). His research focuses on fluid physics (turbulence, cloud microphysics), biophysics (cardiac electrophysiology, aerosol transmission), and synthetic biology (artificial cells, axonemes). Education: Diplom in Theoretical Physics (1985), PhD (1989), both from University of Bayreuth. Awards: Alfred P. Sloan Fellow (1993), Fellow of APS (2003), Stanley Corrsin Award (2014), Leopoldina Membership (2020). Leadership: Chair of Max Planck Central Software Panel, Member of Göttingen Research Council, and advisor to Kavli Institute for Theoretical Physics. Research interests span turbulence dynamics, biophysical systems (e.g., heart arrhythmias, cilia mechanics), and aerosol transmission mechanisms. Notable contributions include airborne cloud physics measurements via the Max Planck CloudKite platform and studies on sonogenetic control of cardiac rhythms. Publications highlight interdisciplinary work: turbulence dissipation in clouds, aerosol risk modeling, and synthetic axoneme design. He has organized major conferences on astrophysical turbulence and fluid dynamics of life systems.
Max Planck Institute for the Physics of Complex SystemsGermany
Shovan Dutta is an Associate Professor at the Raman Research Institute (RRI), Bangalore, specializing in theoretical physics with a focus on quantum many-body systems. His research bridges condensed matter physics, quantum optics, and nonlinear dynamics, exploring collective phenomena in quantum gases and open quantum systems. Education: PhD in Physics, Cornell University, 2018 BE in Engineering, Jadavpur University, 2012 Research Interests: Dutty employs analytical and numerical methods to study novel quantum states, such as symmetry-protected entanglement and solitonic structures in quantum gases. He investigates how classical phenomena (limit cycles, chaos) manifest in quantum systems and develops computational tools like the Density-Matrix Renormalization Group (DMRG) for continuous systems. His work also explores applications in quantum magnetometry and topological quantum computing. Key Contributions: Proposed protocols for creating anyons in optical cavities and FFLO states in cold Fermi gases. Developed a DMRG framework for continuous quantum systems, enabling studies of inhomogeneous and time-dependent dynamics. Discovered anti-thermalization effects where cooling one system component causes heating in another. Awards and Recognition: Recipient of the Best Paper Award at the National Students Paper and Circuit Design Contest (NSPCDC) 2011. Collaborations and Positions: Prior to RRI, Dutta held roles as a Guest Scientist at the Max Planck Institute (2021–2022) and a Research Associate at the University of Cambridge (2018–2021). He actively mentors undergraduate and masters students through visiting programs and advises PhD candidates at RRI.
Professor Michael Herty is a faculty member at RWTH Aachen University, where he works in the Department of Geometry and Practical Mathematics. His research spans multiple international collaborations, including guest professorships at Southeast University in Nanjing, China and as an Extraordinary Professor at the University of Pretoria, South Africa. His research focuses on Hyperbolic Conservation and Balance Laws , Kinetic and Meanfield Theory , Inverse Problems and Nonlinear Optimization , and Control and Stabilization . His work bridges theoretical mathematics with practical applications in traffic flow, gas networks, and optimization problems. Professor Herty has developed numerical methods for coupled systems, multi-scale problems, and uncertainty quantification in fluid dynamics. His recent publications (2023-2025) demonstrate a strong trend toward consensus-based optimization methods, mean-field limits, and numerical schemes for hyperbolic systems. These works often involve interdisciplinary collaborations across mathematics, engineering, and computational science. His research shows increasing focus on machine learning integration with traditional numerical methods and applications to real-world network problems. Professor Herty serves on multiple editorial boards including: Communication in Mathematical Sciences Networks and Heterogenous Media Communications in Mathematical Research Communications in Applied and Industrial Mathematics Annali dell'Universita' di Ferrara -- Sezione VII - Scienze Matematiche He has supervised numerous PhD and Master's students, with recent theses focusing on multiresolution grid adaptation, turnpike properties in optimal control, and gradient-free optimization methods. His research is supported by multiple DFG projects, EU Marie Curie Doctoral Networks (DATAHYKING), and SPP projects on multi-scale modeling and control. Professor Herty leads significant collaborative efforts in the fields of hyperbolic balance laws, compressible Euler equations, and traffic flow modeling.
Prof. Raul Fidel Tempone is a renowned expert in Numerical Analysis and Uncertainty Quantification (UQ) at RWTH Aachen University, where he established the Lehrstuhl für Mathematics for Uncertainty Quantification . His research focuses on developing efficient numerical methods for stochastic models and differential equations, driven by applications in computational mechanics, quantitative finance, biological/chemical modeling, and wireless communication. Research emphasizes a posteriori error estimation, adaptive algorithms, Bayesian model calibration/validation, and optimal experimental design. Key contributions include multilevel Monte Carlo (MLMC) methods, hierarchical/sparse approximation, stochastic optimization, and machine learning integration for UQ. Recent work includes advancements in: MLMC for PDEs/SDEs and McKean-Vlasov equations Bayesian experimental design with nuisance parameters Uncertainty quantification in porous media and wireless networks Machine learning-based segmentation and filtering techniques He has advised numerous PhD/Master’s students and collaborates widely, producing over 150+ publications in top journals/conferences. His applied research bridges theoretical developments with real-world challenges in engineering, finance, and data science.
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. 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.
Prof. Dr. Andreas Dreuw is the Vice-Rector for Research and Digitalisation and First Vice-Rector of Heidelberg University. He holds the Chair of Theoretical and Computational Chemistry at the Interdisciplinary Center for Scientific Computing (IWR). His academic career includes roles such as Managing Director of the IWR, Dean of Chemistry Studies, and Heisenberg Professor. He earned his PhD (2001) and Habilitation (2007) in Theoretical Chemistry from Heidelberg and Frankfurt Universities, respectively. His research focuses on quantum chemical methods, molecular solar thermal systems, singlet fission, and computational spectroscopy. He leads the COSINE European Training Network and chairs the Collaborative Research Center SFB 1249. Awards include the Hermann Willkomm Award (2008) and the Heisenberg Fellowship (2009–2011). He is a Fellow of the Marsilius Kolleg and Emmy Noether Programme, and a member of the German Chemical Society (AG Theoretische Chemie), Bunsen Society, and American Chemical Society. Research Highlights: Development of novel quantum chemical methods, design of energy storage materials, and computational analysis of excited-state dynamics. His work bridges theory and experiment in materials science and optoelectronics. Affiliations: Member of the DFG Review Board for Theoretical Chemistry, Research Council for Field of Focus II, and Managing Board of the SFB 1249. He coordinates interdisciplinary research within the HEiKA partnership between Heidelberg and Karlsruhe.
Anke Meyer-Baese is a Full Professor at the Department of Scientific Computing at Florida State University (FSU), holding an Adjunct Professor position at the FAMU-FSU College of Engineering . She is a Hans Fischer Senior Fellow at the Institute for Advanced Study (TUM-IAS) since 2024, hosted by Professors Claus Zimmer, Jan Stefan Kirschke, and Benedikt Wiestler. Education: M.S. in Electrical and Computer Engineering (1990) Ph.D. in Electrical and Computer Engineering (1995), both from Darmstadt University of Technology . Research Interests span Medical Imaging (pattern recognition in breast MRI and fMRI), Computational Biology (gene regulatory networks, glioblastoma therapeutics), and Computational Neuroscience (nonlinear stability in cortical systems, graph theory for brain networks). Her work integrates Machine Learning and Graph Dynamical Systems into computer-aided diagnosis for brain cancer and dementia. Scientific Publications (over 250) include monographs like Biomedical Signal Analysis (MIT Press, 2010) and Pattern Recognition for Medical Imaging (Elsevier, 2003). Recent Research Trends focus on Deep Learning in Therapy Monitoring , Connectomic Network Analysis , and Stochastic Modeling in neurodegenerative diseases. Awards and Honors include the Eleonore Trefftz Guest Professorship (2022), Fulbright U.S. Scholar (2016), Marie-Curie Fellowship (2014), Senior Member IEEE (2013), and the prestigious Lise-Meitner Prize (1997), Germany’s highest award for women in natural sciences and engineering. She served as Technical Program Chair for SPIE Sensing and Analysis Technologies (2016) and Guest Associate Editor for Frontiers in Computational Neuroscience (2016–2022) and Cancers (2021–present). Professional Experience at FSU includes roles as Professor (2011–present), Associate Professor (2006–2008), and Assistant Professor (2001–2006). She has also held visiting positions at the University of Florida (1996–2001) and received multiple fellowships, including the Alexander von Humboldt (2004) and NIH Research Career Award (2005).
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.
Camilla Brizzi is a Researcher at the Technical University of Munich (TUM), affiliated with the Chair of Global Analysis under Prof. Friesecke. She completed her PhD through a co-tutorship program between the University of Florence and the University of Paris Dauphine. Her research focuses on optimal transport theory, calculus of variations, and related areas such as Wasserstein barycenters, multi-marginal problems, and entropic methods. She has contributed to advancements in non-convex cost optimization and supremal variational problems. Her academic journey includes studies at the University of Florence, followed by doctoral research combining European institutions. She collaborates with leading figures in the field, including Gero Friesecke and Luigi De Pascale, and her work bridges theoretical analysis with computational methods. Her publications span high-impact journals like Nonlinear Analysis and Applied Mathematics and Optimization , addressing both foundational and applied aspects of optimal transport. Brizzi’s research interests also extend to the application of optimal transport in solving complex mathematical problems, such as those arising in physics and data science. She actively contributes to the academic community through seminars, conferences, and interdisciplinary projects, reflecting her commitment to advancing mathematical foundations and their real-world implications.
Wolfgang Domcke is a Professor of Theoretical Chemistry at the Technical University of Munich (TUM), specializing in photoinduced chemical dynamics of polyatomic molecules. His research employs ab initio quantum mechanics to study photochemical processes, focusing on photostability in biomolecules and solar water splitting. With over 420 publications, his work integrates computational chemistry with ultrafast spectroscopy to map reaction pathways. Education includes a doctorate in theoretical physics from TUM and a habilitation from the University of Freiburg. Previous academic roles include professorships at Heidelberg University and Heinrich Heine University Düsseldorf. Research interests span quantum wave-packet dynamics, molecular spectra, and nonadiabatic transitions. Recent articles emphasize photocatalytic water splitting, excited-state dynamics, and spectroscopic simulations. Awards include the 2008 Copernicus Award and an honorary doctorate from Charles University (2012). He is a member of the International Academy of Quantum Molecular Science and a Fellow of the Royal Society of Chemistry. Current projects explore organic photocatalysts for renewable energy and quantum dynamics of biological chromophores. Future work targets mechanistic insights for sustainable energy technologies.
Prof. Vasilis Ntziachristos is a Full Professor of Medicine and Electrical Engineering at the Technical University of Munich (TUM) and Director of the Institute for Biological and Medical Imaging and the Bioengineering Department at Helmholtz Munich. His work focuses on developing imaging technologies to address unmet medical needs, including optoacoustic imaging, fluorescence molecular imaging, and clinical translation. He holds leadership roles in both academia and industry, directing research institutes and founding companies such as iThera Medical and SurgVision BV. Education: Electrical Engineering (Aristotle University), MSc/PhD in Bioengineering (University of Pennsylvania). Professional Background: Formerly at Harvard University and Massachusetts General Hospital, now leading TUM’s Biological Imaging Chair since 2007. His research spans biomedical engineering, photonics, and computational methods. Key innovations include Fluorescent Molecular Imaging for surgery guidance and Optoacoustic Imaging for disease detection. He emphasizes translating technologies into clinical solutions, with over 100 patents and recognition as a top innovator. Scientific contributions include advancing optoacoustic microscopy, developing non-invasive glucose sensors, and studying lipid metabolism in cancer. Awards include the Leibniz Prize (2013) and MIT’s Top Innovator (2014). His articles highlight advancements in optoacoustic signal analysis, sensor technology for environmental monitoring, and clinical applications in diabetes and cardiovascular disease. He fosters entrepreneurship and problem-solving in his team to drive healthcare innovation.
