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Robotics Research Intern

SONY AI

Applied state-of-the-art SLAM algorithms including applications of Bayesian Recursive State Estimation algorithms such as Particle Filter to the problem of indoor visual localization and mapping and path planning with obstacle avoidance

Research and Teaching Assistant

University at Buffalo, Department of Computer Science and Engineering

PhD student in Robotics, Published 4 first author papers, and 2 none-first author papers. Lead 4 notable projects, see the project page

• On Manifold FOV Optimization, DIOR dataset, Motion-Decoupled LiDAR SLAM, 3D Modeling of a Flapping Wind Robot

Student Co-op: Embedded System Software Engineering

MAHLE/Formerly Delphi Thermal

Cooperated in a team to develop critical projects, which were well received by the customers. Developed Embedded software for STM32 chips using C. Developed an over-shoot algorithm for a motor to improve its ramp rate. Integrated CAN/I2C protocol on an embedded Linux platform

PhD

University at Buffalo, Buffalo, NY

Computer Science and Engineering

• Machine Learning
• Advanced Robotics
• Algorithm and Data Structure
• Computer Vision and Image Processing
• Operating Systems
• Parallel and Distributed Systems

Master of Sceince

University at Buffalo, Buffalo, NY

Electrical Engineering

• Linear Algebra
• Probabilistic and Stochastic Process

Bachelor of Sceince

SUNY at Stony Brook, Stony Brook, NY

Electrical Engineering

• Embedded System Designs

2nd place in 2017 International Hardware Design Contest

ACM/IEEE Design Automation Conference (DAC); ACM Special Interest Group on Design Automation (SIGDA) and Lattice Semiconductor.

IoMT Pilot: Towards FPGA-based Collision Detection Accelerator for 3D Printing SafetyDeveloped an innovative FPGA-based solution to tackle the security challenge in networked 3D printer