Find Academic Supervisors

• Optimization under Uncertainty
• Robust Optimization
• Combinatorial Optimization
• +7 more

Christina Büsing is a Professor in Combinatorial Optimization at RWTH Aachen University. She leads the Teaching and Research Group on Combinatorial Optimization and is a principal investigator in the UnRAVeL Graduate College. Her research focuses on optimization under uncertainty , robust optimization , and combinatorial optimization , with applications to healthcare , energy systems , and transportation logistics . Alumni of TU Berlin, WWU Münster, and Universidad Complutense de Madrid Junior Professor for Robust Planning in Medical Care at RWTH Aachen (2016-2021) Her methodological expertise spans exact algorithms , heuristics , and complexity theory , with recent publications addressing network flows, facility location, and healthcare scheduling. She has received awards for teaching excellence and gender equality advocacy. 2022 Brigitte Gilles Award for women in science 2019 FAMOS Award for family-friendly leadership 2018 Best Teaching Award at RWTH Aachen Her work combines theoretical rigor with practical applications in urban railway traffic management , solar power systems , and agent-based pandemic response modeling .

Felix HagemeyerView profile

Researcher

• Old Testament Studies
• Biblical Archaeology
• Ancient Near Eastern History
• +3 more

Dr. Felix Hagemeyer is a Researcher at the University of Leipzig and currently on leave (2024-2026) to lead a project at the Carl von Ossietzky University of Oldenburg . His work focuses on Old Testament Studies , Biblical Archaeology , and History of Israel and its Environment , with expertise in Economic History , Social History , and Material Culture of the Levant . He has collaborated extensively with Israeli institutions like Tel Aviv University and Ben-Gurion University , and coordinates archaeological campaigns at sites such as Tell el-Badawiya/Hannathon .

Klajd ZylaView profile

Researcher

• Embedded Systems
• Computer Networks
• Network-on-Chip (NoC)
• +3 more

Klajd Zyla is a PhD student and scientific assistant at the Chair of Integrated Systems, TUM School of Computation, Information and Technology, Technical University of Munich. His research focuses on architectures for flexible data packet processing in high-performance network cards, including NoC optimization, priority-aware scheduling, and RDMA acceleration. PhD Student at LIS (Chair of Integrated Systems), Technical University of Munich (since Jan 2022) Teaching: SystemC Laboratory (since SS 2022) His research investigates on-chip interconnects, packet scheduling with multiple priorities, and acceleration of transport protocols like RDMA for FPGA-based SmartNICs. Publications demonstrate expertise in crossbar architectures, deadlock avoidance, and resource management for MPSoCs. Supervised students include: Nour Abouelkheir (2D Mesh NoC design) Aleksa Stojkovic (HiPerNoC enhancement) Antra Pramanik (Packet-processing FPGA implementation) Arathi Anitha (Deadlock-avoidance algorithms) Johannes Ecker (Hardware schedulers comparison)

Narges ArastoueiView profile

Research Fellow

• Cybersecurity
• Network Security
• Wireless Communications
• +6 more

Dr. Narges Arastouei serves as a postdoctoral researcher at the Chair of Mobile Business & Multilateral Security, Goethe University Frankfurt since 2019. With over 12 years of industry experience including leadership of security operations at Iran's largest mobile provider (MCI), she specializes in cybersecurity for next-generation mobile networks and critical infrastructure protection. Her educational background includes: Ph.D. in Computer System Networking and Telecommunications from Amirkabir University of Technology (AUT), Tehran Research focuses on network security, 5G/6G communications, IoT security, and Security Operations Center (SOC) frameworks. Current work bridges theoretical networking with practical incident handling, emphasizing human factors in cybersecurity and privacy-preserving healthcare applications. Her projects address evolving threats in mobile ecosystems through both technical solutions and policy frameworks. Publication trends reveal progression from foundational work in opportunistic network routing (2013-2019) to cutting-edge 6G security research (2022-2025), with consistent emphasis on real-world implementation challenges. Key themes include risk-aware protocols, botnet detection, and secure healthcare systems. Scientific recognition includes: First-place doctoral student award She leads coordination of EU-funded CyberSec4Europe and CyberSecPro projects while spearheading human factor components in the ECCO initiative. Secured Goethe-Corona-Fonds grant funding for longitudinal study on Germany's Corona Warning App adoption. Hosts the SECMGT workshop on information security management since 2023. Active within Goethe University's security research ecosystem, she contributes to multilateral security frameworks and mentors junior researchers through student assistant programs.

• New Testament Studies
• Early Christianity
• Jewish Studies
• +5 more

Schwemer Anna Maria is an Adjunct Professor of New Testament at the Faculty of Protestant Theology, Eberhard Karls University of Tübingen. She has held a teaching appointment there since 1993 and currently serves as Director of the Philipp-Melanchthon-Stiftung. Her academic journey includes theological studies at Heidelberg and Tübingen (1963–1967, 1978–1981), research positions under Martin Hengel, and habilitation at Erlangen-Nürnberg (1995) and a second habilitation at Tübingen (2000). Her research focuses on New Testament texts, early Christian communities, Jewish apocryphal literature, and Second Temple Judaism. Key works include studies on Qumran texts, Pauline chronology, and the historical context of early Christian martyrdom narratives. She co-authored major monographs on Paul’s early career and Jesus’ messianic claims with Martin Hengel. Publications span over three decades with thematic emphases on: 1) Jewish-Christian relations and their theological developments, 2) textual analysis of apocryphal traditions like the Vitae Prophetarum, 3) Pauline missions in Syria and Antioch, and 4) the intersection of Greco-Roman and Jewish historiography. Recent works (2011–2018) address early Christian communities in Syria, the Trajanic Jewish revolts, and the theological framework of Josephus’ writings. Her academic leadership includes directing the Theologisch-Philologisches Kolleg within the Melanchthon Foundation, which facilitates interdisciplinary theological research and education. Teaching responsibilities have been maintained alongside administrative roles without formal part-time designation.

Nikolas JaspertView profile

Professor

• Medieval History
• Mediterranean Studies
• Transcultural Relationships
• +3 more

Nikolas Jaspert is a Professor of Medieval History at Heidelberg University's Department of History, affiliated with the Faculty of Philosophy. As a HCIAS Joint Professor, he contributes to the HCIAS Research Focus 2 on Ibero-America and bridges the university's 'Cultural Dynamics in Globalized Worlds' research focus. His work emphasizes the Mediterranean region, transcultural relationships, and medieval Iberian language/literature. Research interests include medieval Mediterranean history, transcultural exchange, and material culture's role in cultural memory. Notable projects explore Jerusalem's symbolic presence in medieval Europe, Mediterranean ruler imagery, and the global dimensions of medieval history. He has authored/co-authored over 50 publications since 2016, focusing on themes like maritime history, crusade studies, and cross-cultural mediation. Teaching responsibilities include medieval history modules within Heidelberg's history degree programs. His academic network connects the Department of History with interdisciplinary initiatives in global history and cultural studies.

Michael RitterView profile

Researcher

• Combinatorial Optimization
• Integer Programming
• Operations Research
• +4 more

Dr. Michael Ritter is a researcher and academic staff member at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology and the Department of Mathematics. His primary role involves advising Master's students in Mathematics programs and coordinating administrative duties for academic affairs. He is part of the Discrete Optimization research group and collaborates with professors like Stefan Weltge and Peter Gritzmann on advanced optimization projects. His research focuses on Combinatorial Optimization, Integer Programming, and real-world applications such as flight schedule design, semiconductor manufacturing optimization, and logistics systems. He has contributed to projects involving automated driving systems, production network resilience, and low-power semiconductor design. Ritter teaches courses on Discrete Optimization and Case Studies in Optimization, balancing theoretical instruction with practical problem-solving. He has co-advised numerous theses on topics ranging from supply chain optimization to timetabling algorithms, demonstrating his commitment to both academic research and student mentorship. His work bridges mathematical theory with industrial applications, addressing challenges in manufacturing, transportation, and electronics through rigorous optimization frameworks. He maintains an active publication record in reputable journals and conferences, reflecting his expertise in interdisciplinary optimization research.

• Computer Science
• Electrical Engineering
• Artificial Intelligence
• +5 more

Umer Farooq is a Professor at Dhofar University's College of Engineering, specializing in Electrical and Computer Engineering. His research spans interdisciplinary areas including artificial intelligence, nanotechnology, educational technology, and cybersecurity. He has contributed to over 90 publications since 2002, focusing on topics such as neural networks, federated learning, IoT security, and biomedical applications. His work bridges theoretical advancements with practical implementations in fields like medical imaging, renewable energy systems, and smart education platforms. Research interests emphasize innovative solutions at the intersection of engineering and computing. Notable contributions include federated learning frameworks for education, neural network-based medical diagnostics, and secure IoT systems. Recent trends in his publications highlight advancements in machine learning for healthcare, nonlinear dynamics in electronic systems, and sustainable energy solutions. No scientific awards or grants are explicitly listed in the provided texts. Collaborations span global institutions, reflecting his active role in international academic networks.

• Theoretical Computer Science
• Algorithm Engineering
• Parallel Computing
• +3 more

Prof. Dr. Peter Sanders is a full professor in Theoretical Computer Science at the Karlsruhe Institute of Technology (KIT), leading the Algorithm Engineering group. His academic career includes a doctoral degree from Karlsruhe University and research stints at institutions like the Max Planck Institute for Informatics. He specializes in algorithm theory and engineering, focusing on parallel computing, large-scale data processing, and graph partitioning. His research bridges theoretical foundations with practical implementations, emphasizing real-world applications in optimization, route planning, and distributed systems. Education: Ph.D. in Computer Science, Karlsruhe University (1996) Bachelor/Master studies at Karlsruhe University (1988-1996) Research Interests: Algorithm design and analysis Parallel and distributed algorithms Graph algorithms and partitioning Algorithm engineering for big data High-performance computing Publications: Over 250 papers, emphasizing parallel algorithms, distributed systems, and graph theory. Recent work includes scalable SAT solving, hypergraph partitioning, and distributed string sorting. His contributions have advanced practical applications in route planning, load balancing, and large dataset processing. Awards: Recipient of the prestigious Leibniz Prize (DFG) and Baden-Württemberg State Research Prize. He coordinated the DFG Priority Program on Algorithm Engineering and is an active reviewer for major funding bodies. Consulting: Engages with companies like SAP and Google, focusing on optimization, route planning, and database algorithms. Leads projects on algorithm scalability and real-world problem-solving. Labs/Teams: Heads the Algorithm Engineering group at KIT, fostering collaborations in distributed computing and algorithmic research.

Mitra BaratchiView profile

Associate Professor

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +5 more

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

Emmanuel BaccelliView profile

Professor

• Internet of Things (IoT)
• Low-power protocols
• Network security
• +5 more

Emmanuel Baccelli is a Professor for "Open and Secure IoT Ecosystem" at Freie Universität Berlin since September 2019, holding a joint position with Inria and the Einstein Center Digital Future (ECDF). He is also a scientific researcher at Inria since 2007 and co-founder/coordinator of the RIOT open source operating system for IoT devices since 2013. His research focuses on the intersection of low-power protocols, deeply embedded open source software, and security in the Internet of Things (IoT) ecosystem. Baccelli emphasizes the critical trade-off between energy efficiency and security in IoT systems, advocating for privacy-by-design principles and open specifications. His work addresses how users can maintain control over their systems and data in an increasingly connected world. Baccelli's publications demonstrate a clear progression toward secure, efficient IoT systems with recent work focusing on secure firmware updates, TinyML deployment, and privacy-preserving protocols. His research spans from foundational networking protocols to practical implementations for constrained devices, with a consistent emphasis on open source solutions and security-by-design. Baccelli completed his PhD in 2006 at École Polytechnique in Paris on "Routing and Mobility in Large Packet-Based Networks" and received his habilitation from Université Pierre et Marie Curie in 2012. He previously served as a Guest Professor at Freie Universität Berlin in 2013-2014 with a DAAD Grant. His professional activities include significant contributions to IETF standards, particularly RFCs related to routing protocols for low-power networks. Baccelli's research has practical applications across multiple domains including healthcare, smart agriculture, and industrial IoT systems, where security and energy efficiency are paramount concerns.

Federico CilibertoView profile

Associate Professor

• Industrial Organization
• Airline Industry Economics
• Agricultural Economics
• +4 more

Federico Ciliberto is an Associate Professor in the Department of Economics at the University of Virginia, with additional affiliation as a DIW Fellow in the Department of Firms and Markets at Deutsches Institut für Wirtschaftsforschung (DIW Berlin). His research spans industrial organization, agricultural economics, and transportation economics, with a significant focus on the airline industry. His research interests include industrial organization with emphasis on airline market competition, econometric modeling of market structure, agricultural economics focusing on genetically engineered crops, and the application of game theory to market behavior. His work often combines sophisticated econometric techniques with detailed industry data to analyze complex market dynamics. Ciliberto's publication record shows a strong concentration in top economics journals, with a notable shift toward agricultural economics in recent years while maintaining his expertise in airline industry analysis. His research demonstrates consistent methodological rigor, often employing structural econometric models and large-scale datasets to address questions of market competition, innovation valuation, and policy impacts. His work has appeared in premier journals including Journal of Political Economy, Review of Economic Studies, Econometrica, RAND Journal of Economics, and Science Advances, reflecting both the theoretical and empirical strength of his research contributions across multiple subfields of economics. Ciliberto has maintained active research collaborations with scholars from various institutions, producing work that bridges theoretical economics with practical policy implications, particularly in regulated industries and agricultural technology adoption.

Hanno FriedrichView profile

Associate Professor

• Freight Transport Modelling
• Transport Economics
• Risk Management in Logistics
• +6 more

Prof. Dr. Hanno Friedrich is an Associate Professor of Freight Transportation - Modelling and Policy at Kühne Logistics University (KLU) in Hamburg, Germany. He holds a Diplom-Wirtschaftsingenieur from the Karlsruhe Institute of Technology (KIT) and a Ph.D. in Economics from KIT (2010), focusing on logistics simulation in food retailing. Prior to academia, he worked at McKinsey & Company (2004-2010) and served as a Junior Professor at TU Darmstadt (2011). Affiliations: Kühne Logistics University, World Conference on Transport Research Society (SIG B5), European Transport Conference (Freight & Logistics Committee) Education: PhD in Economics (KIT, 2010), Diplom-Wirtschaftsingenieur (KIT, 2003), ERASMUS exchange at EM Lyon (2001-2003) Research Interests: His work focuses on freight transport demand modelling, food logistics resilience, risk management in supply chains, and intermodal transport networks. Notable projects include FoodDecide (digital food safety tools), HeGeL (German logistics hypernetworks), and SEAK (food supply chain disruptions). Recent Trends: Articles emphasize spatial analysis of organic food demand, machine learning for ETA predictions in intermodal transport, and computational methods for tracing foodborne outbreaks. Recent work explores regional food self-sufficiency and electric mobility in commercial transport. Grants/Projects: Over 15 projects funded by BMBF, BMVI, and EU, including NutriSafe (blockchain in food logistics) and SMECS (ETA forecasting for seaports). Labs/Teams: Leads research groups in food supply chain resilience, freight transport policy, and intermodal logistics innovation at KLU.

• Human Population Genetics
• Evolutionary Biology
• Genetic Diversity Studies
• +3 more

Leonardo Arias Alvis is a postdoctoral researcher in the Department of Evolutionary Genetics at the Max Planck Institute for Evolutionary Anthropology, Leipzig. He holds a PhD in Evolutionary Genetics (2018, MPI-EVA) and earlier degrees from Universidad del Valle, Colombia. His research focuses on human population history, genetic diversity in Amazonian indigenous groups, and the impact of sociocultural practices on genetic patterns. He has conducted extensive fieldwork in Colombia’s Amazonia, collecting genetic samples from over 30 ethnolinguistic groups. Education: PhD (2012–2018, MPI-EVA), MSc (2007–2012, Universidad del Valle), BSc (2000–2006, Universidad del Valle). He has taught courses on human population history, molecular anthropology, and applied phylogenetics at the University of Leipzig and MPI-EVA. His grants include a COLCIENCIAS scholarship and a DAAD Research Stay Award. Research interests include genomic analysis of demographic history, fine-scale population structure in Amazonia, and interdisciplinary approaches linking genetics with linguistics/anthropology. His work has revealed extensive intergroup interactions facilitated by river networks and historical migration patterns. Key projects include studies on Northwestern Amazonia’s genetic diversity and the demographic history of Colombia’s Bogotá Altiplano. Scientific awards include the COLCIENCIAS Graduate Scholarship and DAAD Research Stay Award. His work has been published in journals like Science Advances , Molecular Biology and Evolution , and Proceedings of the National Academy of Sciences .

Max WillertView profile

Lecturer

• Computational Geometry
• Algorithm Design
• Theoretical Computer Science
• +3 more

Dr. Max Willert is affiliated with the Theoretical Computer Science Group at the Institut für Informatik, part of the Fachbereich Mathematik und Informatik at Freie Universität Berlin. His research focuses on computational geometry, algorithm design, and theoretical computer science, with a particular emphasis on problems involving polygonal domains, geometric algorithms, and combinatorial optimization. He has contributed to routing schemes, conflict-free chromatic guarding, and geometric covering problems. Education includes a Bachelor's thesis (2014) on orthogonal variants of the chromatic art gallery problem and a Master's thesis (2016) on routing schemes for disk graphs and polygons. His work bridges theoretical foundations with practical algorithmic solutions in geometric computing. Teaching spans from 2011 to 2020, covering courses like Informatik A/B, ProInformatik I, randomized algorithms, and programming. He has also led exercise sessions and seminars in topics such as logic, discrete mathematics, and object-oriented programming. His publications, including contributions to Computational Geometry: Theory and Applications and ISAAC , reflect expertise in geometric algorithms and discrete mathematics. Collaborations include work on routing in polygonal domains, chromatic guarding, and stabbing intersecting disks.