Hi there!
I am Saugat 👋. I am a Wireless Engineer who loves developing and researching new wireless technologies💡. I do development of newer power efficient wireless protocol. Have you ever heard of Bluetooth Low Energy (BLE)? 📡 Yeah, I am working on the same but to modify the protocol to make it more power efficient than BLE. 🚀 How is that even possible? Adding time division multiplexing on top of frequency division multiplexing 🎛️. I also have been involved in a lot of Deep Reinforcement Learning communication system particularly using Unmanned Aerial Vehicles (Drone). How cool is that? Right? 😎 I still do a lot of wireless research and projects in any free time I get ⏰.
Experience
PassiveLogic, Salt Lake City, UT
BLE Wireless Engineer
- Spearheaded development of a proprietary wireless mesh protocol on top of Bluetooth mesh leveraging synchronized nodes using time-multiplexing for power efficient system with MPSL and interrupt handling.
- Devised advanced mesh packet monitoring and encrypting tools for both over-the-air captured segmented and unsegmented packets with Wireshark support.
- Engineered comprehensive firmware solutions for host systems and customized software development over Zephyr RTOS for a proprietary hardware platform, improving system compatibility as a part of a team of 8 while collaborating with test engineers.
- Collaborated on BT mesh networking system with a vendor-specific model for transfer of custom sensory information to a centralized controller.
August 2021 - July 2023
Miami University, Oxford, OH
Research Assistant
- Managed collaborative research project on corrosion of various metals (with the University of Texas) with a focus on EBSD and SECCM data integration, cleansing, and deep learning model development with a 0.98 coefficient of using novel image registration and processing techniques on 7 experiments.
- Researched trajectory and network connectivity optimization for UAV-based wireless communication networks operating on deep reinforcement learning algorithms.
- Developed a novel distributed algorithm based on multi-agent deep q-learning and game theory for control of distributed multi-UAV information sharing for a decentralized partially observable system.
Skills
- Programming: Python, Embedded C, MATLAB, C, C++ and HTML.
- Packages: Pytorch, Tensorflow, Pandas, Numpy, Stable Baseline, Zephyr RTOS, Nrfxlib.
- Research and Publication :
- Charging Profile Design for Solar-Powered Sustainable UAV Communication Networks (IEEE ICC)
- Distributed Design on User Connectivity Maximization in UAV Based Communication Network (IEEE GlobeCom accepted, pending IEEE explore publication).
- Presentation: Oral IEEE GlobeCom 2023 conference presentation (accepted), Oral presentation paper for the STLE 2022 conference, and several on-the-job professional presentations on projects and research.
Education
Miami University, Oxford, OH
Master of Science
Electrical and Computer Engineering (Reinforcement Learning) | 4.0
- Conducted multiple independent research on early detection of breast cancer classification with image processing and CNN classification.
- Executed course project on heart disease classification leveraging biomedical signal processing and deep learning with 82% accuracy.
September 2019
Thapathali Campus, I.O.E, Tribhuvan University, Kathmandu, Nepal
Bachelor of Engineering
Electronics and Communication | 3.80 (Scholaro Conversion)
- Initiated a project on semi-autonomous two-vehicle navigation system-based guidance with a dynamic feedback control loop.
- Relevant elective courses: artificial intelligence, big data technologies, and data mining.
Certification
- Python (Certificate): Getting Started with Python, Python Data Structure, Using Python to Access Web Data, Using Database with Python
- Machine Learning (Certificate): Machine Learning
Awards and Recognization
- Award: Thapathali campus semester topper 2nd year 2nd part and 4th year 1st part.
- Gold award at STLE 2022 conference for poster presentation among 40 researchers. (also covered in Miami University news)