Scholar
Martin Asenov
Google Scholar ID: zFULG8IAAAAJ
Parexel AI Labs
Citations & Impact
Citations
259
H-index
7
i10-index
6
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Involved in several research projects such as an introduction to Gaussian Processes for spatiotemporal phenomena prediction, generating disparity maps using Convolutional Neural Networks, and building models that better understand dynamics in real-world physical scenes through machine learning and physics engines. Additionally, he has published papers, including one in IEEE Robotics and Automation Letters.
Research Experience
- Senior Machine Learning Engineer at Huawei Research and Development, Aug 2022 – Present; Machine Learning Engineer at Huawei Research and Development, Apr 2022 – Jul 2022; Applied Scientist Intern at Amazon PrimeAir, Oct 2018 – Dec 2018; Research Scientist at DSTL, Oct 2017 – Oct 2018; Software Integration and Characterization Intern at Thales, Jun 2015 – Aug 2015.
Education
- PhD in Robotics and Autonomous Systems from The University of Edinburgh and Heriot-Watt University; MRes in Robotics and Autonomous Systems, 2017, from The University of Edinburgh and Heriot-Watt University; BSc in Artificial Intelligence and Computer Science, 2016, from The University of Edinburgh; Exchange Student, 2015, at The University of California, Irvine.
Background
- Research interests include Active Sensing, Bayesian Optimization, Machine Learning, Robotics, Intuitive Physics, and Computer Graphics. He completed his PhD at The University of Edinburgh and Heriot-Watt University, focusing on how to solve highly dynamical tasks in uncertain environments by incorporating physical inductive bias. He is also a committee member of EdIntelligence and a cohort representative for the Robotics RAS CDT.
Co-authors