Arunesh Roy
Product and Strategy for detecting low, slow and small UAS
- Role
- Chief Engineer at Epirus
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Arunesh Roy
Algorithms, Perception, Systems Engineering, Sensor Fusion Kalman Filtering, Particle Filtering, IMM, JPDAF Radar, LFM, FMCW, FCM, PMCW, MIMO, Imaging Radar, 77 GHz, 79 GHz, 24 GHz DoA, Sparse Arrays Computer Vision, Image Processing, Positioning and Navigation, GPS, IMU Specialties: FMCW Radar, PMCW Radar, MIMO, object detection, ADAS, Information Fusion, Image & Video Processing, Highly Automated Driving, Autonomous Robots, Multi-sensor fusion, Multi-target tracking
Experience
Chief Engineer
Jul 2025 — Present · Torrance, CA, US
Education
Wright State University
Ph.D.
2007 — 2010
Wright State University
Master's degree
1999 — 2002
VESIT
Bachelor of Engineering
1994 — 1998
Skills
- Linux
- Bayesian Statistics
- Embedded Systems
- Mplab
- Machine Learning
- Autonomous Vehicles
- Microchip Pic
- Rtsp
- Algorithms
- Ppc
- Project Management
- Visual Studio
- Boost C++
- Deep Learning
- Image Processing
- Ti Dsps
- Python
- System Architecture
- Vhdl
- Adcs
- Adas
- Tcp/Ip
- Cross Compilers
- Pcb Design
- Video Processing
- Jira
- Qt Creator
- C++
- Multithreading
- Qt
- Kalman Filtering
- Gps Navigation
- Matlab
- Code Composer Studio
- Sensor Fusion
- Embedded Linux
- Arm
- Gcc
- Git
- Simulations
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