Find Academic Supervisors

Shmuel AvidanView profile

Professor

• Object Tracking
• 3D Object Modeling
• Computer Vision
• +3 more

Prof. Shmuel Avidan serves as a Professor in the School of Electrical Engineering at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. Holding a Ph.D. from Hebrew University's School of Computer Science (1999), he brings extensive industry experience from Adobe, Mitsubishi Electric Research Labs, MobilEye, and Microsoft Research to his academic role. His educational trajectory features: Ph.D. in Computer Science, Hebrew University of Jerusalem (1999) Avidan's research centers on pixel-centric computational problems, with seminal contributions in video object tracking and 3D object modeling from 2D images. His work spans computer vision, image processing, and machine learning, emphasizing practical applications in industrial settings. Current investigations explore neural rendering, foundation models, and diffusion-based architectures for visual understanding. Recent publications (2023-2025) demonstrate concentrated innovation in neural radiance fields (NeRF), category-agnostic pose estimation, and texture-aware segmentation. These works increasingly integrate foundation models with domain-specific applications in medical imaging, autonomous systems, and materials science, reflecting a strategic shift toward scalable vision systems. Though specific awards aren't documented in source materials, his prolific publication record and sustained industry partnerships signify substantial field impact. His research group maintains active collaboration with leading technology firms, translating academic discoveries into real-world solutions. Professor Avidan mentors graduate students in computer vision while securing competitive grants for projects at the intersection of theoretical computer vision and industrial implementation. His lab focuses on developing robust algorithms for challenging visual environments, particularly in autonomous driving and medical imaging contexts. Leading an active research group within Tel Aviv University's Electrical Engineering department, he drives innovation in neural rendering and vision-language models. The team regularly contributes to premier conferences including CVPR, ICCV, and ECCV, maintaining strong industry ties through ongoing partnerships with automotive and imaging technology companies.

Yossi BukchinView profile

Professor

• Assembly systems design
• Assembly line balancing
• Facility design
• +5 more

Prof. Yossi Bukchin is a Professor in the Department of Industrial Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on manufacturing systems, production engineering, and operations research with particular expertise in assembly line design and optimization. His primary research interests include: Assembly systems design Assembly line balancing Facility design Operational scheduling Human factors engineering Warehouse and storage systems Prof. Bukchin's recent work demonstrates a strong focus on puzzle-based storage systems, assembly line optimization, and operations management. His research spans both theoretical developments in scheduling algorithms and practical applications in manufacturing and logistics systems. He has made significant contributions to the understanding of Bucket Brigade systems, puzzle-based storage optimization, and assembly line balancing with mixed-model production. His scholarly output shows evolution from early work on robotic assembly lines to contemporary research on machine learning applications in warehouse systems and advanced optimization techniques for modern manufacturing challenges. Contact information: Email: bukchin@tau.ac.il Phone: 03-6407941 Fax: 03-6407669 Office: Wolfson - Engineering

Christian StummerView profile

Professor

• Business Administration
• Innovation Management
• Technology Management
• +3 more

Professor Christian Stummer is a Chair Holder in the Faculty of Economics and Business Administration at Bielefeld University, Germany. His academic career spans over two decades with a consistent focus on innovation and technology management. As an active faculty member, he contributes significantly to the university's research profile, particularly in the area of Economic Implications of Smart Products and Smart Systems through the Institute for Technological Innovation, Market Development and Entrepreneurship (iTIME). Position: Chair Holder in Economics and Business Administration Research Focus: Innovation and Technology Management Key Collaborators: M. Günther, E. Kiesling, W.J. Gutjahr Academic Network: Active contributor to Computational Economics research focus Professor Stummer's research interests center on business administration with a specialized focus on innovation management and technology management. His work bridges theoretical frameworks with practical applications in R&D investment planning and market launch of innovations. His research approach is characterized by an analytical-quantitative methodology that aligns with the faculty's overall research profile. Stummer has made significant contributions to the understanding of multi-criteria decision problems in innovation contexts, particularly through the development of decision support systems that help organizations navigate complex innovation management challenges. His publication record reveals a clear trajectory of research evolution from foundational work in R&D project selection in the late 1990s to sophisticated agent-based simulation approaches for innovation diffusion in recent years. The publications demonstrate a consistent focus on decision support methodologies applied to innovation management problems, with increasing sophistication in modeling approaches over time. His work frequently addresses the challenge of balancing multiple objectives in innovation management decisions, reflecting the complexity of real-world business environments. Most Innovative Paper Award: IEEE EDUCON 2010 for game-based learning in technology management education Best Applied Paper Award: Winter Simulation Conference for agent-based simulation of biofuel market diffusion Nomination: Best Paper Award at ECMS 2010 conference Professor Stummer's research has practical applications across various industry sectors, particularly in technology-intensive industries where innovation management is critical. His work on multi-channel management and disruptive technology strategy provides valuable frameworks for businesses navigating digital transformation. Through his involvement with the Bielefeld Graduate School of Economics and Management (BiGSEM), he contributes to training the next generation of researchers in quantitative economic approaches. His decision support methodologies have potential applications in both public policy contexts (particularly regarding sustainable technology adoption) and private sector innovation management.

Alexander EckerView profile

Professor

• Machine Learning
• Computational Neuroscience
• Visual Perception
• +3 more

Prof. Dr. Alexander Ecker is Professor of Data Science at the Institute of Computer Science, University of Göttingen, and concurrently holds the prestigious Max Planck Fellow position at the Max Planck Institute for Dynamics and Self-Organization. Since 2020 he also serves on the Executive Board of the Campus Institute Data Science in Göttingen. He leads the Neural Data Science research group, comprising 14 PhD students and 2 postdoctoral researchers, focusing on the interface of machine learning and computational neuroscience. His educational background includes a Dr. rer. nat. in Neuroscience (2014) from the Graduate School of Neural and Behavioral Sciences/IMPRS, University of Tübingen, followed by post-doctoral and group-leader positions at the University of Tübingen and the Max Planck Institute for Biological Cybernetics. Research Interests Machine Learning & Deep Learning: developing novel algorithms for representation learning and generative modeling. Computational Neuroscience: large-scale data-driven modeling of visual cortical circuits. Visual Perception: bridging biological vision and computer vision via biologically inspired architectures. His work has produced a steady stream of influential publications (2019-2025) in leading journals such as Nature Communications , Nature , Nature Methods , PLOS Computational Biology , ICLR , NeurIPS , and CVPR . The publications trend toward integrating high-resolution neural recordings with state-of-the-art machine-learning models to uncover principles of sensory processing, neuron-type classification, and behavior. Scientific Awards & Honors Max Planck Fellow, Max Planck Institute for Dynamics and Self-Organization (ongoing) Executive Board Member, Campus Institute Data Science, Göttingen (since 2020) Teaching, Advising & Grants Regularly teaches advanced courses: “Deep Learning for Image Synthesis”, “Current Topics in Deep Learning”, and “Graph Machine Learning”. Supervises 14 current PhD students and 2 postdocs within the Neural Data Science Group. Offers numerous Bachelor’s and Master’s thesis projects, with topics ranging from neuronal morphology clustering to primate vocalization analysis. Leads or co-leads large collaborative consortia with labs in Göttingen, Tübingen, Baylor College of Medicine, and other institutions across the US and Germany. Labs & Teams The Neural Data Science Group operates at the Institute of Computer Science, University of Göttingen, and is tightly integrated with the Max Planck Institute for Dynamics and Self-Organization. The group maintains active collaborations with over a dozen partner laboratories, including groups led by Fabian Sinz, Andreas Tolias, Thomas Euler, Tim Gollisch, and Viola Priesemann, fostering an interdisciplinary environment that spans computer science, physics, biology, and psychology.

Jason Raphael RambachView profile

Researcher

• Computer Vision
• Augmented Reality
• Robotic Vision
• +7 more

Dr. Jason Raphael Rambach is a Senior Researcher and Deputy Director at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, leading the team "Spatial Sensing and Machine Perception." His work focuses on Scene Perception and Reasoning using Machine Learning, with affiliations spanning Computer Vision, Augmented Reality, and Robotics. Education Diploma in Computer Engineering, University of Patras, Greece (2012) M.Sc. in Information and Communication Engineering, Technical University of Darmstadt, Germany (2014) PhD in Computer Science, University of Kaiserslautern (2020) Dr. Rambach's research bridges Object Pose Estimation , Semantic Scene Understanding , Hybrid AI , and Robotic Vision . His publications (50+ in top conferences) and projects like EU Horizon HumanTech highlight AI applications in construction and recycling. Recent articles analyze symmetry ambiguity resolution, spherical image segmentation, and radar-camera fusion. Scientific Awards CVPR 2025 Outstanding Reviewer Best Paper Award, ISMAR 2017 Five BOP Challenge Awards (ECCV 2022, ICCV 2023) Best Industrial Paper, ICPRAM 2024 Scan2BIM Third Place (CVPR2023, CVPR2024) As a coordinator of EU Horizon HumanTech and contributor to projects like COPPER, BERTHA, KIMBA, and TWIN4TRUCKS, Dr. Rambach integrates AI into industrial workflows. He reviews for CVPR, T-PAMI, ECCV, ICCV, and organizes workshops on AI in Construction Robotics.

• Virtual Reality
• Augmented Reality
• Computer Vision
• +4 more

Prof. Dr. Didier Stricker is a leading academic in computer science, serving as Scientific Director at the German Research Center for Artificial Intelligence (DFKI) and Professor at the University of Kaiserslautern-Landau (RPTU). His career spans over two decades, including leadership roles at Fraunhofer IGD and founding the Augmented Vision research unit at DFKI/RPTU, which now includes ~30 researchers. Education: Electrical Engineering (Technical University of Grenoble, Karlsruhe) PhD: Computer Vision-based Calibration and Tracking Methods for Augmented Reality (2002, TU Darmstadt) His research focuses on virtual and augmented reality , computer vision , human-computer interaction , and on-body sensor networks . He leads major EU/national projects like LUMINOUS (Language-Augmented XR) and SHARESPACE (Ethical Hybrid Shared Spaces), with industrial partnerships including Sony, Google, and John Deere. Recent publications emphasize 3D reconstruction , neural network optimization , and XR systems . Key trends include event camera processing , scene flow estimation , and multimodal AI for industrial applications . He holds patents in AR tracking and has received the 2006 Innovation Prize from the German Society of Computer Science. Scientific Awards : Innovation Prize (2006) Best Paper/Demonstration Awards at ISMAR, EUSIPCO, CVPR, and ICRA As a reviewer for journals and conferences in VR/AR and computer vision, he contributes to shaping research standards. His lab ( AG Augmented Vision ) combines academic and industrial collaborations to advance cognitive interfaces and extended reality systems.

• Computational Intelligence
• Swarm Intelligence
• Evolutionary Algorithms
• +4 more

Sanaz Mostaghim is a full Professor of Computer Science at the Otto-von-Guericke-Universität Magdeburg, Faculty of Computer Science, Institute for Intelligent Cooperative Systems (IWS), where she leads the Chair of Computational Intelligence since 2014. She is also Vice-President for Member Activities of the IEEE Computational Intelligence Society (since 2021) and has held numerous leadership and editorial roles within IEEE and other international organizations. Education PhD in Electrical Engineering and Computer Science, University of Paderborn, 2004 Habilitation in Applied Computer Science, Karlsruhe Institute of Technology (KIT), 2012 Research Interests Her research focuses on Computational Intelligence and Swarm Intelligence , with applications ranging from optimization and robotics to medicine and engineering. She develops evolutionary algorithms and particle swarm optimization techniques for solving complex multi-objective problems. She also explores swarm robotics and distributed systems , aiming to achieve intelligent behaviors through simple local rules and interactions. Scientific Awards & Honors DFG Heisenberg-Professorship, 2014 IEEE CIS Distinguished Lecturer, 2020 Vice-President for Member Activities, IEEE Computational Intelligence Society, 2021–present Elected member of IEEE CIS Administrative Committee (ADCOM), 2015–2020 Advising & Grants Prof. Mostaghim has supervised numerous PhD students through her habilitation and professorship. She has been principal investigator on projects funded by the German Research Foundation (DFG) and collaborates extensively with international research groups and industry partners including Honda, Bosch, and Procter & Gamble. Labs & Teams She leads the Chair of Computational Intelligence at the Institute for Intelligent Cooperative Systems (IWS), fostering interdisciplinary research across computer science, robotics, and application domains such as automotive, healthcare, and digital transformation.

Kristian HildebrandView profile

Professor

• Computer Graphics
• Interactive Systems
• Augmented Reality
• +7 more

Prof. Dr. Kristian Hildebrand is a Professor of Computer Graphics and Interactive Systems at Berlin University of Applied Sciences and Technology since 2015, leading the Intelligent Interactive Systems research group. His work bridges computer graphics, VR/AR, computer vision, and machine learning. PhD in Computer Graphics (Technical University of Berlin, 2013) Diploma in Computer Science and Media (Bauhaus University Weimar) Academic experience: University of British Columbia, Max Planck Institute Saarbrücken Industry experience: ART+COM Studios Berlin, Disney Research Zurich, co-founder of kunstmatrix Research Interests span computer graphics , AR/VR systems , computer vision , and digital fabrication , with applications in: Medical therapy (AnorexiaVR, PAN-Assistant, VITALAB.mobile) Human-robot interaction (Digit gestures, Non-verbal communication) Machine learning (Domain adaptation, GAN-based medical image synthesis) Digital fabrication (Optimized 3D printing, crdbrd fabrication) Publications show trends in: Medical VR applications for mental health and geriatrics GAN-based medical image generation and segmentation Redirected walking and spatial navigation techniques Domain adaptation for industrial object classification Scientific Contributions : Principal investigator in multiple DFG-funded projects (tele.interaction, Manipulation of virtual self-perception) Recipient of Best Student Paper Award (ECML-PKDD 2023) Key role in BMBF projects: Vitalab.mobile, BewARe, SynthNet Academic Leadership includes: Supervision of PhD students (Christopher Kümmel, Tabea Kossen) Teaching: Computer Vision, Game Programming, Scientific Computing Founding director of Human.VR.Lab (interdisciplinary computer science/life science collaboration)

Thomas KochView profile

Lecturer

• Spatial Audio
• Immersive Audio Environments
• Acoustic Simulation
• +3 more

Thomas Koch is a Lecturer at the Berlin Career College, an institution within the Berlin University of the Arts (UdK Berlin). He has held this position since 2013, teaching courses such as 'Raumkomposition' and spatial audio in the Master's programs Sound Studies and Sound Studies and Sonic Arts. Concurrently, he has been a researcher at Fraunhofer HHI since 2009, where he focuses on the development and application of 3D-Audio technologies in immersive video environments. His research spans immersive auditive media design, multi-channel audio staging, and the simulation of acoustic spaces. Specific projects include the development of miking concepts for Wellenfeld-synthesis, simulation of objects in recorded sound fields, and optimization of portable room acoustics for Wave Field Synthesis (WFS) systems. His work emphasizes the integration of technical innovation with artistic integrity. As an educator, Koch mentors students in the Master's programs, guiding them in both theoretical and practical aspects of sound studies. He has also contributed to the technical infrastructure of the Projektstudio Potsdam, particularly in optimizing the Neve Logic2 system, which supports advanced audio production. Koch is affiliated with the Fraunhofer HHI timelab, a research facility dedicated to audiovisual technologies, and collaborates with the Berlin Career College to advance education in sound studies and sonic arts.

Andreas DellnitzView profile

Professor

• Operations Research
• Computational Social Sciences
• Multi-criteria Optimization
• +4 more

Prof. Dr. Andreas Dellnitz is a Professor of Quantitative Methods at Leibniz University of Applied Sciences, specializing in Operations Research and Computational Social Sciences. He also serves as Head of the Sustainable and Digital Transformation program and has been Vice President for Research since 2025. Education Dr. Dellnitz holds the following academic qualifications: Master of Science (Business Information Systems), FernUniversität in Hagen (2019) Doctor of Economics (summa cum laude), FernUniversität in Hagen (2015) Diploma in Economics (honors), Ruhr University Bochum (2010) Research Interests Dr. Dellnitz's research centers on multi-criteria optimization and (eco-)efficiency analysis , with applications in sustainability. His methodological focus includes linear and combinatorial optimization, algorithmic geometry, and entropy-driven analytics for social and power networks. He investigates sustainability-oriented production planning, energy systems, and social network structures. Publication Trends His recent work (2021-2025) integrates Data Envelopment Analysis (DEA) with machine learning for cost estimation and eco-efficiency assessment. Key applications include sustainable production planning under energy pricing schemes, gas-to-power demand response, and battery storage systems. His research bridges theoretical operations research with industrial sustainability challenges. Scientific Awards No scientific awards were mentioned in the available information. Grants and Advising Dr. Dellnitz has led third-party funded projects such as MaXFab I (2016-2018) and MaXFab II (2019-2021) on energy-flexible factories. He supports student projects and participates in study committees, emphasizing practical applications of operations research in business and sustainability.

Markus HilbertView profile

Researcher

• Sustainable Production
• Energy-Efficient Production Planning
• Multi-Criteria Optimization
• +3 more

Dr. Markus Hilbert is a researcher at FernUniversität in Hagen's Faculty of Business Administration and Economics within the Department of Business Administration, especially Quantitative Methods and Business Mathematics. Since May 2018, he has conducted research and supervised student theses while completing his doctorate in May 2024 on energy-flexible production planning. He earned a Master of Science in Business Mathematics from TU Dortmund University (2017), where his thesis investigated integrated reporting in Europe and his mathematical focus centered on optimization techniques. Hilbert's research targets sustainable industrial production through model-driven analysis of energy and emission savings, developing innovative methods like the Center of Gravity indicator for sustainability assessment. His work specializes in multi-criteria optimization for eco-energy-efficient scheduling, lot-sizing, and demand response systems, directly addressing climate targets by reducing industrial CO₂ footprints. His publication portfolio reveals a concentrated trend toward operationalizing sustainability in production systems, with 5 of 6 articles (2023-2024) advancing tri-criteria optimization frameworks that balance economic, energy, and environmental objectives in real-world manufacturing contexts. Key scientific recognition includes: Best Dissertation Award at Dies Academicus 2024 Outstanding Scientific Paper Award for Young Scientists at Dies Academicus 2024 Hilbert actively mentors students on optimization topics including machine learning in metaheuristics, digital twins, and robust scheduling while leading the Applied Optimization research group. This team advances projects like drone-based vehicle routing, nurse rostering for dialysis clinics, and waste-to-energy facility management under the university's Energy, Environment & Sustainability research focus. He contributes to the Management of energy-flexible factories (MaXFab) project and the Sustainable Supply Chains research cluster as a member of the Society for Operations Research, bridging theoretical optimization with industrial decarbonization challenges.

Myra CohenView profile

Professor

• Software Testing
• Configurable Software
• Search-based Software Engineering
• +3 more

Myra Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering in the Department of Computer Science at Iowa State University. Previously, she held the position of Susan J. Rosowski Professor at the University of Nebraska-Lincoln where she was a member of the ESQuaReD software engineering research group. She serves on the ASE Steering Committee and has held leadership roles including general chair of ASE 2015 and program co-chair for ICST 2019 and ESEC/FSE 2020. Dr. Cohen earned her Ph.D. from the University of Auckland, New Zealand, her M.S. from the University of Vermont, and her B.S. from the School of Agriculture and Life Sciences at Cornell University. Her academic journey includes lecturing positions at both the University of Auckland and University of Vermont during her graduate studies. Her research spans several interconnected domains focused on software quality and assurance. A significant portion of her work addresses software testing challenges in highly-configurable systems, where she applies search-based techniques and combinatorial designs to create efficient test suites. More recently, her research has expanded into innovative areas including software testing for biological systems, quantum computing applications, and security testing through genetic improvement techniques. Her work demonstrates a consistent theme of addressing complex verification challenges through creative application of formal methods and automated techniques. Analysis of her recent publications reveals a growing focus on emerging domains including quantum software testing, molecular/biological computing systems, and assurance cases for safety-critical systems. She has increasingly incorporated AI techniques, particularly large language models, into traditional software engineering problems while maintaining her foundational work in configurable systems and metamorphic testing. NSF CAREER award recipient AFOSR Young Investigator Award recipient ACM Distinguished Scientist Recipient of 4 ACM Distinguished Paper awards Dr. Cohen has served as chair and committee member for numerous conferences including ASE, ICSE, ISSTA, ESEC/FSE, and ICST. She has mentored numerous students through the doctoral symposiums and student research competitions at major software engineering conferences. Her research has been supported by significant grants including those from NSF and AFOSR. She leads the LaVA-OPs (Laboratory for Variability-Aware Assurance and Testing of Organic Programs) research group at Iowa State University, which focuses on testing challenges in biological and organic computing systems.

Colin ReiffView profile

Researcher

• Process Control
• Production Optimization
• Additive Manufacturing
• +4 more

Colin Reiff serves as a Research Assistant at the Institute for Control Engineering of Machine Tools and Manufacturing Units at the University of Stuttgart, focusing on advanced manufacturing systems and process optimization. His work bridges theoretical research with industrial applications in automotive, aerospace, and general production contexts. His research interests center on process control and optimization in multi-stage production systems and Additive Manufacturing (Powder Bed Fusion Processes) . Reiff has developed innovative approaches for zero-defect manufacturing, particularly through smart centering methods for rotation-symmetric parts and automated vision data systems using collaborative robots. His work demonstrates how dimensional deviations can be compensated during production rather than detected at final inspection. Analysis of his publication record from 2018-2024 reveals consistent focus on manufacturing innovation, with increasing emphasis on data-driven approaches, software-defined manufacturing, and sustainable production. His research spans both theoretical frameworks and practical implementations, with several solutions transitioning to industrial applications. Reiff actively supervises student theses and practical experiments, including the "Simulation of a feed axis closed loop control with MATLAB/Simulink" laboratory course. His work has been supported through EU-funded projects like ForZDM under Horizon2020 and the High-Performance Center "Mass Personalization" in Stuttgart. His research group operates within the University of Stuttgart's manufacturing ecosystem, contributing to initiatives like the "Stuttgarter Maschinenfabrik" - a fully digitalized production environment for customer-individualized products. This environment leverages digital twins and new technological infrastructure to enable application development freedom and machine park flexibility.

• Biodiversity conservation
• Climate change impacts
• Ethnobotany
• +7 more

Dr. Andrés Gerique is a Professor in the Department of Geography and Geosciences at Friedrich-Alexander University Erlangen-Nuremberg, where he conducts research on biodiversity conservation, climate change impacts, and sustainable resource management. His work spans multiple institutional contexts through collaborations with DFG Research Units, FLACSO Ecuador, and various international working groups including the German Society for Geography and the German Latin American Research Association. Dr. Gerique's research focuses on political ecology of conservation, particularly examining biosphere reserves governance, nature conservation conflicts, and indigenous knowledge systems. His regional expertise centers on Latin America, with extensive fieldwork in the Andean region, Western Amazon, Patagonia, and the Galapagos Islands, supplemented by research in Spain and Tanzania. His current Volkswagen Stiftung-funded project (2025-2029) investigates philanthropy and ecotourism in the Global South. Analysis of his recent publications reveals a strong emphasis on practical conservation challenges combined with theoretical contributions to human geography and political ecology. His work consistently addresses the complex interplay between human societies and environmental systems, particularly focusing on power dynamics in conservation, indigenous rights, and sustainable development pathways in vulnerable regions. Dr. Gerique has supervised over 50 theses across diverse topics including biodiversity conservation, climate change adaptation, tourism impacts, and land use conflicts. His supervision approach appears to emphasize critical thinking, field-based research, and engagement with real-world conservation challenges, particularly in Latin American contexts. His research program demonstrates significant funding success through DFG, DAAD, Volkswagen Stiftung, and other sources, supporting both individual scholarship and collaborative international research teams focused on pressing environmental challenges in the Global South.

Stefan WirtensohnView profile

Researcher

• Control Engineering
• Mechatronic Modeling
• Parameter Identification
• +4 more

Stefan Wirtensohn is a Researcher at the Institute of System Dynamics, Konstanz University of Applied Sciences, where he has served as a research associate since 2012. His work bridges theoretical control engineering with practical marine robotics applications, focusing on autonomous surface vehicle development and advanced control systems. His academic credentials include: Bachelor of Engineering in Mechanical Engineering, HTWG Konstanz (2010) Master of Engineering in Mechatronics, HTWG Konstanz (2012) Wirtensohn's research centers on Control Engineering, Mechatronic Modeling, and Nonlinear Control systems for marine environments. He specializes in parameter identification, motion estimation, and trajectory optimization for autonomous vessels, with significant contributions to docking control, wave filtering, and extended object tracking. His methodology integrates unscented Kalman filters, model predictive control, and sensor fusion techniques to address real-world navigation challenges. Analysis of his 15 most recent publications (2013-2022) reveals consistent focus on marine robotics control systems. Key trends include the application of random matrices for lidar-based target tracking, model predictive path integral control for vessel stabilization, and advanced disturbance estimation techniques. His work demonstrates strong emphasis on experimental validation using autonomous surface vehicles across diverse maritime scenarios. He actively contributes to teaching through Control Engineering 1 exercises and laboratory supervision, emphasizing hands-on implementation of control algorithms. Current projects under his involvement include: Integrated autonomous measuring system for maritime surveying tasks Automated parking systems for truck trailers Collision prevention procedures for inland waterway vessels Wirtensohn operates within the Institute of System Dynamics research team specializing in signal processing, control engineering, and robotics, maintaining close collaboration with Johannes Reuter and other institute members on marine automation challenges.