Muhamad Risqi U. Saputra

Muhamad Risqi U. Saputra

Postdoctoral Research Assistant

Student, Kellogg College

Leaving date: 14th April 2021

Themes:

• Systems

See Also:

• Personal Webpage

Interests

Computer Vision, Machine Learning

Biography

I am a Postdoctoral Research Associate in the Cyber-Physical Systems group working on ACE-OPS under the supervision from Prof. Niki Trigoni and Dr. Andrew Markham. Previously, I did my DPhil (PhD) in the same group with the same supervisor. In 2012 and 2014 respectively, I obtained bachelor and master degree (M.Eng) from the Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Indonesia.

My research interests revolve around computer vision, machine learning, and intelligent sensor systems applied to wide range of problems including navigation, positioning, object detection, or semantic segmentations, among others.

Selected Publications

View AllManage publications

• VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization

  Kaichen Zhou Changhao Chen Bing Wang Muhamad Risqi U. Saputra Niki Trigoni and Andrew Markham

  In AAAI Conference on Artificial Intelligence (AAAI). 2021.

  Details about VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization | BibTeX data for VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization | Download  (pdf) of VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization

• Title: Cut‚ Distil and Encode (CDE): Split Cloud−Edge Deep Inference

  N. Trigoni M. Sbai M.R.U. Saputra and A. Markham

  In IEEE International Conference on Sensing‚ Communication and Networking (SECON). 2021.

  Details about Title: Cut‚ Distil and Encode (CDE): Split Cloud−Edge Deep Inference | BibTeX data for Title: Cut‚ Distil and Encode (CDE): Split Cloud−Edge Deep Inference

• milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion

  C. X. Lu M. R. U. Saputra P. Zhao Y. Almalioglu P. P. B. d. Gusmao C. Chen K. Sun N. Trigoni and A. Markham

  In ACM Conference on Embedded Networked Sensor Systems (SenSys). 2020.

  Details about milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion | BibTeX data for milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion | Download  (pdf) of milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion

Activities

• Intelligent Resource Constrained Systems
• Machine Learning Systems
• Positioning in GPS-denied Environments

Projects

• ACE-OPS

Supervisors