Stefan Seer Email & Phone Number

Austria

Head of the "Urban Development & Mobility Transformation" research group, leading a team of over 15 experts specializing in mobility and urban planning as well as smart and climate-neutral cities.R&D on computational methods for interdisciplinary questions along multimodal mobility and spatial design for cities. Advancing the urban development practices.

The scope of the Traffic Management & Modelling Thematic Group is: traffic modelling; traffic control; traffic management, transport system efficiency with CCAM; and, cooperative transport systems.

Enhancing the effectiveness of mobility measures by tapping into potential behavior changes to solve problems in transport, reach climate protection goals and improve quality of life.The Centre for Mobility Change (CMC) is one of the five Urban Mobility Laboratories in Austria and is funded by the Federal Ministry for Climate Protection (BMK) as part of.

Großraum Boston Und Umgebung

Leading a trans-continental team of researchers to investigate how human perception of urban environments can be captured and integrated into mobility simulations as a computational model.

Lead of the "Integrated Digital Urban Planning" research group. Spearheading the development of advanced tools for complex urban planning challenges, focusing on multimodal mobility and spatial design for cities.Pioneering advancements in urban development practices through initiatives at our City Intelligence Lab.

Lead of the "Integrated Mobility Systems" research group.R&D on novel multimodal mobility concepts to investigate sensing systems, data mining and models for simulating and predicting human mobility.Headed the transfer‑to‑market of research for a wide range of applications in the context of multimodal mobility.

Team lead ”Dynamic Crowd Solutions”. Conducted research on the analysis and prediction of complex crowd movement, investigation of human perception, optimization of crowd flows. Contributed to the transfer of research related to crowd flows in transport networks and decision support systems to the market.

Team lead “Crowd Analysis & Pedestrian Simulation”. Focused on real-time sensor systems, innovative computer-aided control systems for crowd management, novel methods for crowd simulation, and AI/ML for data analysis.

Großraum Boston Und Umgebung

Research at the MIT SENSEable City Lab on novel methods for collecting movement data of crowd dynamics based on the Microsoft Kinect.

Data collection, analysis and modelling of human movement behavior using computer vision, pattern recognition, and machine learning techniques.

Software design and development for vehicle navigation systems on mobile devices.

Doctor Of Philosophy (Ph.D.), Computer Science, Graduated With Honors

Dissertation titled “A Unified Framework for Evaluating Microscopic Pedestrian Simulation Models”

Visiting Student, Department Of Urban Studies And Planning

Master Of Science (M.Sc.), Electronics Engineering, Graduated With Honors

Specialization in Computer Science and Systems Technology, as well as Audio- and Video Engineering