Monika Sester is affiliated with the University of Hannover in Germany. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Transportation, Automotive Engineering, Building and Construction, and Environmental Engineering.
Their recent publications demonstrate a range of topics and practical applications. Notable papers include:
The scientist has collaborated frequently with several colleagues, including Hao Cheng, Yunshuang Yuan, Claus Brenner, Yu Feng, and Michael Ying Yang. These collaborations reflect consistent engagement with active researchers in related domains.
Monika Sester's research has appeared in various publication venues, notably:
Their research topics include:
Monika Sester's work integrates methodologies from computer vision, geospatial information, and transportation systems to explore challenges related to autonomous driving, environmental hazards, and urban mobility. Their contributions to trajectory prediction, flood mapping, and cooperative vehicle detection demonstrate interdisciplinary approaches combining data science, engineering, and environmental monitoring.
Songnian Li;Suzana Dragicevic;Francesc Antón Castro;Monika Sester
S. Li;S. Dragicevic;F. Anton;M. Sester
Monika Sester
Monika Sester
Christopher B. Jones;R. Purves;A. Ruas;M. Sanderson
Hai Huang;Claus Brenner;Monika Sester
Matthias Butenuth;Guido v. Gösseln;Michael Tiedge;Christian Heipke
Jan-Henrik Haunert;Monika Sester
Lijuan Zhang;Frank Thiemann;Monika Sester
Jun Chen;Ian Dowman;Songnian Li;Zhilin Li
Monika Sester;Karl-Heinrich Anders;Volker Walter
Monika Sester;Claus Brenner
Stephan Winter;Martin Tomko;Birgit Elias;Monika Sester
Monika Sester
Andreas D. Blaser;Monika Sester;Max J. Egenhofer
Yu Feng;Monika Sester
Yunshuang Yuan;Hao Cheng;Monika Sester
Yu Feng;Frank Thiemann;Monika Sester
Yu Feng;Claus Brenner;Monika Sester
Anahid Basiri;Mike Jackson;Pouria Amirian;Amir Pourabdollah
Ehsan Rabiei;Uwe Haberlandt;Monika Sester;Daniel Fitzner
Frauke Heinzle;Karl-Heinrich Anders;Monika Sester
If you think any of the details on this page are incorrect, let us know.
Exploring future options in Computer Science opens the door to many dynamic fields. If you’re seeking flexibility or want to study from anywhere, consider pursuing the online bachelor’s in electrical engineering or look at similar tech-focused online degrees.
Affordability is a key consideration. Many learners are looking for an affordable data science degree that meets both their budget and career goals. Entry into booming job markets doesn’t have to mean high tuition fees.
For those eager to boost their resumes quickly or switch fields, check out certifications that pay well. These programs are often less time-consuming and can lead to highly rewarding roles in tech, information systems, or analytics.
Already have a bachelor’s degree and want to advance rapidly? Explore the shortest masters degree programs available online for faster career growth.
Your pathway in computer science can be as unique as your ambitions—consider these options as you plan your academic and professional future.
Meijo University
Eszterházy Károly Catholic University
Institute for Systems Biology in Seattle
Harvard University
York St John University
University of North Carolina at Chapel Hill
Lamont-Doherty Earth Observatory
University of Tokyo
University of Massachusetts Chan Medical School
Auburn University
Techno International New Town
Singapore University of Technology and Design
Universidade Federal de Minas Gerais
Jiangnan University
Hunan University
University of Auckland