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Titus von der MalsburgView profile

Assistant Professor

• Psycholinguistics
• Cognitive Modeling
• Eye-Tracking
• +12 more

Titus von der Malsburg is a tenure-track Junior Professor of Psycholinguistics and Cognitive Modeling at the Institute of Linguistics, University of Stuttgart . His research focuses on incremental sentence comprehension, implicit gender biases, scanpath analysis, and computational modeling of language processing. He employs experimental methods like eye-tracking, ERP, and Bayesian statistics to investigate how humans integrate linguistic and cognitive cues during reading. Education : PhD in Cognitive Science (University of Potsdam), with postdoctoral positions at UC San Diego, University of Oxford, and University of Potsdam. His work spans psycholinguistics, cognitive science, and natural language processing, with a strong emphasis on reproducibility and open-source software development. He has contributed to debates on agreement attraction, semantic parsing, and the role of conversational principles in cognitive biases. His lab uses advanced eye-tracking equipment and promotes technical rigor in research practices. Recent publications highlight his contributions to understanding memory decay in syntactic dependencies, semantic attraction effects, and scanpath regularity as a predictor of reading comprehension. The lab actively seeks collaborators aligned with its focus on technical quality and open science. Notably, he clarifies his name’s correct formatting to avoid common misattributions.

Raik StolletzView profile

Professor

• Operations Management
• Business Analytics
• Quantitative Decision Analysis
• +8 more

Prof. Dr. Raik Stolletz is a Professor of Production Management at the Business School of the University of Mannheim, leading the Chair of Production Management within the Area Operations Management. His research focuses on business analytics, quantitative decision support for manufacturing and service systems, and stochastic modeling for operations optimization. Area Operations Management, Business School, University of Mannheim Research Interests : Stolletz specializes in predictive and prescriptive business analytics, with applications in Industry 4.0, airport operations, automotive production, workforce planning, and distribution center management. His work emphasizes tools for decision-making in deterministic and stochastic environments. Research Trends : His recent publications address time-dependent queueing systems, buffer allocation in stochastic flow lines, assembly line balancing, and revenue management in production. Keywords span Operations Management, Supply Chain Analytics, and Industrial Engineering, with sub-fields including Stochastic Optimization, Dynamic Scheduling, and Service Systems. Grants & Collaborations : Projects are funded by industry partners, the European Union, and the German Science Foundation (DFG), focusing on automotive production networks, airport logistics, and manufacturing system optimization.

• Multimedia Communications
• Self-organizing Systems
• Mobile Systems
• +7 more

Prof. Ralf Steinmetz is a Full Professor of Multimedia Communications at Technische Universität Darmstadt since 1996 and head of the Multimedia Communications Lab. His research focuses on adaptive multimedia systems, self-organizing networks, mobile/sensor networking, and educational technologies. He has held leadership roles at IBM's European Networking Center and Fraunhofer IPSI. His work spans cybersecurity, IoT, disaster communication systems, and industrial networking. Education : Dr.-Ing (PhD) in Electrical Engineering, TU Darmstadt (1986) Habilitation in Computer Science, Goethe University Frankfurt (1994) Research Interests : He pioneers innovations in networked multimedia systems , including fault-tolerant communication, aerial-ground disaster monitoring (e.g., CAMON system), and 5G/Industry 4.0 infrastructure. His work emphasizes resilience, adaptive protocols, and cyber-physical integration. Recent Work Trends : Publications from 2022-2025 highlight advancements in: Wireless communication protocols (ESP-NOW, LoRa) Cybersecurity (intrusion detection via machine learning) Disaster response networks (aerial-ground cooperation) Time-sensitive networking for industrial applications Key Contributions : Developed Nature 4.0 sensor systems for biodiversity monitoring Pioneered P4-programmable network hardware solutions (P4-CODEL, P4-BNG) Advanced UAV-based emergency communication frameworks

• Statistical Physics
• Complex Systems
• Percolation Theory
• +7 more

Professor Peter Grassberger is a distinguished researcher at the Jülich Supercomputing Centre (JSC) within the Jülich Research Centre, one of Germany's leading national research institutions. His work spans multiple decades in theoretical physics and computational science, with a particular focus on complex systems and statistical mechanics. His research has significantly advanced our understanding of critical phenomena and phase transitions in various physical systems. Grassberger's research interests center around statistical physics and complex systems, with specializations in percolation theory, self-organized criticality, and random walk models. His work explores the universal properties of phase transitions, critical phenomena, and the behavior of complex networks. His theoretical contributions have provided fundamental insights into how simple local rules can lead to complex global behavior in physical systems. His recent work continues to push boundaries in understanding extreme-value statistics, entropy estimation methods, and the dynamics of interface models. Through his extensive publication record spanning over 40 years, Grassberger has established himself as a leading authority in computational statistical physics. His work shows consistent focus on understanding universal properties of critical systems while developing innovative computational methods to analyze complex phenomena. His research bridges theoretical physics with practical computational approaches, making significant contributions to both fundamental understanding and methodological development in the field. Grassberger's scientific impact is evident through his numerous influential publications and his development of important computational techniques like the Grassberger-Procaccia algorithm for estimating fractal dimensions. His work on self-organized criticality, particularly his 2022 review "Self-Organized Criticality, Three Decades Later," demonstrates his enduring contribution to this important field. His recent publications continue to explore cutting-edge questions in statistical physics, showing active engagement with contemporary research challenges.

• Nonlinear Dynamics
• Bifurcation Theory
• Piecewise Smooth Systems
• +7 more

Professor Viktor Avrutin is an extraordinary professor (Apl. Prof.) at the University of Stuttgart, Germany, affiliated with the Institute for Systems Theory and Automatic Control. He holds a Dr. rer. nat. habil. degree in Computer Science from the University of Stuttgart, where he was appointed as an extraordinary professor in 2020 after obtaining his Privatdozent status in 2011. Avrutin completed his academic journey with a B.Sc. from St. Petersburg State Polytechnical University (1992), an M.Sc. in Computer Science with Mathematics from the University of Stuttgart (1997), and a Ph.D. from the University of Stuttgart (2003) with a thesis on piecewise-smooth dynamical systems. His research focuses on nonlinear dynamics with particular emphasis on bifurcation theory for piecewise smooth systems, border collision and homoclinic bifurcations, low-dimensional chaos, and bifurcations of chaotic attractors (crises). He also investigates numerics, simulation software, algorithms, and neural networks. His work spans multiple disciplines including electrical engineering (power converters and inverters), mechanical systems (vibration machines), biological modeling (Goodwin's oscillator), and ecological systems (predator-prey models). Analysis of his recent publications reveals a consistent focus on piecewise smooth dynamical systems, with particular attention to border collision bifurcations, chaotic attractors, and their transformations. His research demonstrates strong interdisciplinary applications, connecting theoretical mathematics with practical engineering problems in power electronics, mechanical systems, and biological modeling. The recurring themes across his work include the study of complex nonlinear phenomena in systems with discontinuities, transformation of attractors, and the interplay between deterministic and stochastic elements in nonlinear systems. Professor Avrutin teaches courses including Nonlinear Dynamics and Chaos Theory I (summer term), Dynamics of Nonsmooth Systems, and Nonlinear Dynamics and Chaos Theory II (winter term) at the University of Stuttgart.

Jürgen BrehmView profile

Adjunct Professor

• Computer Architecture
• Parallel Processing
• E-Learning
• +6 more

Jürgen Brehm is an Adjunct Professor at the Faculty of Electrical Engineering and Computer Science of Leibniz University Hannover . He holds a venia legendi in Computer Engineering after completing his habilitation in 2000. Education: Diploma in Computer Science (1986), Doctorate in Engineering (1991), Habilitation (2000) Research interests span computer architecture , parallel processing , performance analysis , and e-learning . His work explores ubiquitous computing , communication architectures , and optimization algorithms . Recent publications highlight trends in parallel computing , optimization , and interactive systems , including works on swarm intelligence , particle swarm optimization , and open content integration. Scientific award : Feodor Lynen Fellowship (1994) Teaching includes core courses like Basics of Computer Architecture , Operating Systems , and Parallel Processing . He also designed two multimedia-equipped computer science lecture halls and managed large-scale DFG projects for e-learning and HPC computing.

Luis-Miguel CHEVINView profile

Researcher

• Adaptive Evolution
• Phenotypic Plasticity
• Eco-evolutionary Dynamics
• +11 more

Luis-Miguel CHEVIN is a CNRS Research Director at the Centre d'Écologie Fonctionnelle et Évolutive (CEFE) in Montpellier, France, where he leads research in evolutionary and behavioral ecology, focusing on adaptation to changing environments. He is affiliated with the Genetics and Evolutionary Ecology group within the Department of Evolutionary and Behavioral Ecology. His work integrates theoretical modeling, experimental evolution using the microalga Dunaliella salina , and analysis of natural populations. His research interests include adaptive evolution, phenotypic plasticity, eco-evolutionary dynamics, evolutionary rescue, and the genetics of adaptation. He investigates how organisms adapt to fluctuating environments, combining quantitative genetics, population modeling, and empirical studies. His work spans molecular, physiological, and population levels, with a strong emphasis on predicting evolutionary responses under environmental change. The recent publications highlight a consistent focus on phenotypic plasticity, environmental predictability, experimental evolution, and the demographic consequences of adaptation. Themes include multi-level plasticity, programmed cell death in unicellular organisms, fluctuating selection, and genotype-phenotype mapping. His work increasingly integrates omics data with evolutionary theory. ERC Starting Grant (FluctEvol, 2016–2021) Newton International Fellow, Imperial College London (2009–2011) Selected by Faculty of 1000 (2010, 2013, 2016) He advises multiple postdoctoral researchers and students, and leads or participates in funded projects such as ComplexAdapt (2022–2024), InterAdapt (2021–2022), and previously ContempEvol (2011–2015) and EvolMarin (2015–2018). He is also the head of the French network GDR PlasPhen (2019–2023) and served as Associate Editor for Evolution (2016–2018). His lab combines theoretical and experimental approaches to study adaptation in real and simulated environments.

B SrivathsanView profile

Associate Professor

• Formal verification of real-time systems
• Automata theory
• Games
• +1 more

B Srivathsan is an Associate Professor in the Computer Science Department at the Chennai Mathematical Institute . His research focuses on formal verification of real-time systems , automata theory , game theory , and concurrency . He has a dual degree in Computer Science and Engineering from IIT Bombay (2004-2009), a PhD from LaBRI, University of Bordeaux (2012), and post-doctoral experience at RWTH Aachen (2012-2013). Education: B.Tech + M.Tech, IIT Bombay Ph.D., University of Bordeaux Post-doc, RWTH Aachen Research Interests: He specializes in formal verification techniques for real-time systems using timed automata, with applications in critical systems like pacemakers. His work explores automata theory, game-theoretic approaches, and efficient algorithms for verification tasks, including zone-based abstractions and handling diagonal constraints. Publication Trends: His recent work (2024-2025) addresses event-clock automata simulations, MITL model-checking, and deterministic suffix-reading automata. Earlier publications (2019-2022) focus on local-time semantics, negotiation modeling, and scalable verification algorithms for timed systems. PhD Supervision: He advises five current students, including part-time student R. Keerthan at TCS Pune, and co-advises others with researchers from IIT Bombay and ENS Paris-Saclay. Three students have completed their PhDs under his guidance. Professional Service: He serves as President of IARCS (2024-present), previously as Secretary (2017-2023), and chairs program committees for conferences like ATVA 2025. He organizes workshops including the IARCS Verification Seminar and Games Workshop 2020 .

Hu CaoView profile

Researcher

• Autonomous Driving
• Robotic Grasping
• Medical Image Analysis
• +5 more

Hu Cao is a postdoctoral research associate at the Chair of Robotics, Artificial Intelligence and Real-Time Systems (Prof. Alois Knoll) at the Technical University of Munich (TUM) . Holding a Ph.D. from TUM, his research bridges autonomous driving , robotic grasping , medical image analysis , and dense prediction (classification, detection, segmentation). Education : Ph.D. from TUM Hu's work explores: Autonomous Driving : Perception under adverse conditions, multi-sensor fusion, and risk-based safety models Robotic Grasping : Vision-language integration for 6D pose estimation Medical Imaging : Transformer-based segmentation techniques (e.g., Swin-Unet) His recent publications include 15+ works at top venues like CVPR , ICCV , IEEE TPAMI , and IEEE TIV , with 6052+ Google Scholar citations . Notably, Swin-Unet ranks among the top 3 most cited ECCV papers in 5 years, and his work on event-based autonomous driving perception was featured in IEEE Xplore Innovation Spotlight . Editorial roles include: Associate Editor for Visual Intelligence and Frontiers in Neurorobotics Editorial Board member of Artificial Intelligence and Autonomous Systems (AIAS) Topic Editor for Frontiers in Robotics and AI and Frontiers in Neuroscience He has reviewed for 20+ top journals (e.g., Nature Computational Science , IEEE TRO ) and served on program committees for NeurIPS , CVPR , ICCV , and MICCAI .

Saikat DuttaView profile

Assistant Professor

• Software Engineering
• Machine Learning
• Program Analysis
• +7 more

Saikat Dutta is an Assistant Professor in the Department of Computer Science at Cornell University, where he joined in August 2024. His research sits at the intersection of Software Engineering and Machine Learning, with a focus on improving the reliability of machine learning systems and leveraging machine learning techniques to solve challenging software engineering problems. His research interests span several key areas including automated test generation and debugging of ML/DL libraries , using AI/ML for automated software engineering , improving performance and effectiveness of regression tests in ML libraries , and static and dynamic analyses for probabilistic programming . His work bridges theoretical foundations with practical applications in real-world systems. Dutta has developed multiple influential frameworks and tools including BugsInDLLs (a database of reproducible bugs in deep learning libraries), FLEX (for fixing flaky tests in ML projects), and TERA (for optimizing stochastic regression tests). His research has been published in top-tier venues including ICSE, FSE, ISSTA, PLDI, and ICLR. Amazon Research Award 2025 Meta AI LLM Evaluation Research Grant 2025 Mavis Future Faculty Fellowship 2022-23 Facebook PhD Fellowship 2020-22 3M Foundation Fellowship 2019-2020 Dutta actively mentors PhD students including Yingao (Elaine) Yao, Shinhae (Joseph) Kim, and Junkai Huang. He has served on program committees for major conferences including ASE, ISSTA, and ICSE. His teaching includes courses on Software Engineering in the Era of ML/AI.

Tobias HeerView profile

Professor

• Network Security
• IT Security
• Offensive Security
• +5 more

Prof. Dr. Tobias Heer serves as Professor and Dean of Computer Science and Engineering at Esslingen University of Applied Sciences, where he also holds Senate and Building Committee roles. Based in Room F 01.312 at Campus Esslingen (Flandernstraße 101, 73732 Esslingen), he leads the IT Security Lab while teaching Network Security, IT Security, Offensive Security, and Security of Industrial Networks courses. His research spans industrial network security with emphasis on time-sensitive networking (TSN), deterministic networking (DetNet), and offensive security methodologies. Key focus areas include spoofed traffic detection, secure resource allocation protocols, internet-wide scanner analysis, and global software patching practices. His work bridges theoretical protocol design with industrial implementation challenges in critical infrastructure systems. Recent publications (2022-2024) reveal strong trends in industrial network security, particularly TSN/DetNet integration and real-time traffic protection. His team develops evaluation frameworks like GeNESIS for industrial scenarios while analyzing global patching discipline across sectors. Earlier foundational work includes Host Identity Protocol standards (RFC 7401, 8002) and distributed hash table applications for mesh networks. No scientific awards are documented in the provided materials. While advising activities aren't specified, his patent portfolio indicates active industry collaboration. He heads the IT Security Lab which focuses on industrial network security testing and protocol development, with recent projects examining PRP-based transmission systems and time-deterministic firewall mechanisms.

• Systems Biology
• Stochastic Modeling
• Cellular Dynamics
• +3 more

Prof. Mukhtar Ullah is a researcher in the Department of Systems Biology and Bioinformatics at the University of Rostock, Germany. He holds a Doctor of Engineering in Systems Biology and a Master of Science in Advanced Control and Systems Engineering. His research focuses on stochastic modeling of biological systems, particularly stem cell populations and biochemical reaction networks. Key interests include incorporating noise into cellular population dynamics and applying Markov processes and large deviation theory. Academic Background: PhD (2009), University of Rostock MSc (2002), University of Manchester BSc (1999), NWFP University of Engineering and Technology Research emphasizes stochastic approaches to understand tissue fate and cell dynamics. Publications span journals like IET Systems Biology and Wiley Interdisciplinary Reviews. Co-authored the textbook Stochastic Approaches for Systems Biology with Olaf Wolkenhauer. His work bridges electrical engineering principles with systems biology, addressing challenges in modeling subcellular processes under uncertainty. Funding: Supported by the University of Rostock and collaborations within the Faculty of Computer Science and Electrical Engineering.

Marc BoyerView profile

Professor

• Formal Methods
• Network Calculus
• Real-Time Systems
• +7 more

Marc Boyer is a Research Director at ONERA, the French Aerospace Lab, within the Department of Aerospace and Information Systems Technologies (DTIS). He is actively affiliated with the Université de Toulouse, where he teaches at the M2 level in computer science and engineering programs at UPS and ENSEEIHT. His research lies at the intersection of formal methods, real-time systems, and embedded networking, with a strong focus on network calculus and Time-Sensitive Networking (TSN). Institution: ONERA / DTIS Teaching Affiliations: Université de Toulouse (UPS, ENSEEIHT) Doctoral School: MITT (Mathematics, Computer Science, Telecommunications) His research interests include formal verification of real-time networks, worst-case performance evaluation, scheduling models, and deterministic networking. He has made significant contributions to the theoretical and practical application of network calculus in avionics (AFDX), automotive, and space systems. His work bridges theory and industry applications, particularly in safety-critical domains. His recent publications (2020–2024) show a consistent focus on refining network calculus models for TSN, CQF, credit-based shaping, and sporadic traffic integration. These works are published in top-tier venues such as ECRTS, RTAS, ETFA, and IEEE Transactions, indicating high impact and relevance in real-time systems research. Best Paper Award, JRWRTC 2023 Best Paper Award, ICATPN 2007 Co-chair, RTNS 2023 Program Committee Active in ECRTS, RTAS, DATE, ETFA program committees Marc Boyer supervises multiple PhD students and offers internships through the MITT doctoral school. He leads the MOIS doctoral reception team and is involved in industrial challenges like Resilient TSN. He has developed tools like NC-maude for formal analysis and contributes to open research datasets and reproducibility. His work combines theoretical rigor with practical implementation, influencing both academic and industrial standards in deterministic networking. He is also active in educational outreach, delivering lectures on digital transformation and cognitive biases in engineering, and promoting tools like Emacs for productivity.

• Mathematical Optimization
• Algorithmic Game Theory
• Multi-Agent Systems
• +3 more

Max Klimm is an Assistant Professor for Discrete Optimization at Technische Universität Berlin, affiliated with the Department of Mathematics within Faculty II – Mathematics and Natural Sciences. He holds a PhD in Mathematics from TU Berlin (2012) and previously served as an Assistant Professor for Operations Research at Humboldt-Universität zu Berlin (2014–2016) and led the Junior Research Group for Optimization under Uncertainty at the Einstein-Center for Mathematics (2014–2016). His research focuses on algorithmic game theory, mathematical optimization of multi-agent systems in traffic, telecommunications, and economics. Key areas include network flows, congestion games, mechanism design, and infrastructure networks. He actively contributes to academic activities as an associate editor for journals like International Journal of Game Theory and Operations Research Forum , and has served on program committees for conferences such as AAAI, EC, and WINE. Recent work includes studies on evolutionary road network reconstruction, robustness of potential-based flows, and algorithmic solutions for knapsack and assignment problems. His research bridges theoretical foundations with practical applications in transportation and resource allocation.

Christina KuttlerView profile

Professor

• Biomathematics
• Deterministic Mathematical Models
• Bacterial Communication
• +3 more

Prof. Christina Kuttler holds the position of Professor in the Department of Mathematics at the Technical University of Munich (TUM), within the TUM School of Computation, Information and Technology. Her research focuses on biomathematics, particularly deterministic mathematical models of bacterial communication and diffusion processes, aiming to understand intracellular regulatory mechanisms. She has been at TUM since 2008, following postdoctoral work at the University of Tübingen and the Helmholtz Center Munich. Her academic background includes a doctorate in mathematics (2000) from the University of Tübingen, with further studies in physics and computer science. Awards include the Erwin Schrödinger Prize (2007) and the Tübingen Doctoral Prize (2000). Research interests span mathematical modeling in biology, with publications on quorum sensing, bacterial biofilms, and cancer dynamics. Notable works include models of immunotherapy effects on lung cancer and stochastic approaches in biological systems. She teaches courses such as Mathematical Modelling and Mathematics for Engineers, and collaborates on projects like modeling cerebral hemorrhage in premature infants. Her work bridges applied mathematics, computational biology, and interdisciplinary research.