Swapnil Sayan Saha

I am an algorithm development engineer at STMicroelectronics. I am also the treasurer for IEEE SFBA MEMS and Sensors Chapter, IEEE Santa Clara Valley Section.

I got my Ph.D. and M.S. in Electrical and Computer Engineering from UCLA (advised by Professor Mani B. Srivastava), and B.Sc. in Electrical and Electronic Engineering from the University of Dhaka.

[Resume] [LinkedIn] [GitHub] [Google Scholar] [YouTube][Email]

I create deployable, physics-aware, uncertainty-injected, learning-enabled, and resource-constrained embedded systems. My research interests include tiny machine learning (TinyML), inertial sensing, applied machine learning, embedded system design, wearable/ubiquitous computing, small satellites, and human-computer interaction.

When I am not working, you will find me making music, jamming with my band, cooking, eating out, sightseeing, and speeding down the California freeways.

Experience

STMicroelectronics

University of California - Los Angeles

Maple Leaf International School

Suyog Technologies

FAB Lab DU

Educational History

University of California - Los Angeles

University of Dhaka

Maple Leaf International School

Me and My Research Interests

Skills

Experience

STMicroelectronics

Algorithm Development Engineer (June 2023 - present; Santa Clara, CA, USA)

Developed a method for short-term variability monitoring in human activities against trained motion templates for inertial intelligent sensor processing units (patented) [patent link][publication][slides].
Developed an ultra-low-power, accelerometer-only, on-sensor, neurosymbolic fall detection algorithm (patented) [patent link].
Developed an AutoML framework for on-sensor tiny machine learning [publication][slides].
Developed a method for on-device blood pressure monitoring and patch placement using inertial sensors (patent pending). [publication][poster][slides]
Developed a method for on-sensor unsupervised anomaly detection, with capability to use high-g accelerometer data (patent pending).
Developed a method for fusing high-g and low-g accelerometer data (patent pending).
Developed a method for sleep and biometric monitoring using vertical analog frontend (patent pending) [publication][poster].
Designed a method for gateway data sufficiency for sensor-gateway-cloud platforms (patent pending). [publication][poster][lightning talk]

Sensor Software Solutions Intern (June 2022 - Sept 2022; Santa Clara, CA, USA)

Designed an online learning and inference framework for inertial intelligent sensor processing units (patented) [publication][slides][patent link].
Developed a method for time synchronization and fusion of multiple inertial sensors (patented) [patent link].
Wrote a framework for hot-starting and making deep neural network training efficient using decision trees.
Improving X-CUBE-MEMS1 IMU MotionFX sensor fusion package [link].
Formulated a neural-Kalman GNSS/INS solution for tracking precision agricultural robots [publication][code][demo][poster][slides][video].

University of California - Los Angeles

Graduate Student Researcher (Jul 2020 - Jun 2023; Los Angeles, CA, USA)

Proposed a robust deep learning pipeline for handling temporal and spatial abnormalities in inertial sensors using training time data augmentation techniques. [publication][code][slides][video]
Formulated a platform-aware neural architecture search framework called THIN-Bayes (based on ARM Mango) for low-end IoT devices. [publication][code][poster][blog]
Developed an open-source optimization toolkit for training and development of human movement models and filters using earables [publication][short paper][code, dataset][poster][slides][video].
Designed a framework for robust, efficient, and onboard 3D neural inertial navigation [publication][code][poster1][poster2][slides][video].
Generalized the TinyML workflow and recent advancements in AI-IoT, and proposed future directions for practical TinyML deployment [publication].
Proposed a workflow for realizing the internet of marine life, and outlined recent advancements and challenges in deploying wearables/IoT for marine animals [publication]
Discussed the methods, opportunities, and challenges in porting real-time AI-enhanced inertial navigation algorithms onto IoT platforms [abstract][publication][slides].
Formulated a neural-Kalman GNSS/INS solution for tracking precision agricultural robots [publication][code][demo][poster][slides][video].
Designed the first platform-aware neurosymbolic auto tiny machine learning framework for microcontrollers [publication][code][slides][poster1][poster2].
Developed a state-of-the-art marine biologger with Al-air energy harvesting, piezoacoustic ultrasonic communication, and neural-inertial localization capabilities [publication][code, design][slides].

Maple Leaf International School

Physics Laboratory and Robotics Instructor (Feb 2019 - Aug 2019; Dhaka, Bangladesh)

Established the first robotics laboratory and robotics course in the school. [course materials][job certificate]

Suyog Technologies

Embedded Engineer - Intern (Dec 2018 - Jun 2019; Mumbai, India)

Implemented embedded exercise activity and sleep monitoring frameworks using inertial sensors. [publication][poster][job certificate]

FAB Lab DU

Operator and Research Assistant (Jul 2018 - Dec 2018; Dhaka, Bangladesh)

Created the DU Mobility Dataset using handcrafted wearable sensors for AI-driven gait and locomotion analysis [publications 1, 2, 3, 4][poster 3, 4][slides 2][dataset]; designed homebrew ground station and embedded cybersecurity analysis platform for small satellites. [publication]
Planned and supervised training sessions, seminars, industrial tours and projects relevant to fab lab themes. [job certificate]

Educational History

University of California - Los Angeles

Ph.D. in Electrical and Computer Engineering (Sept 2019 - June 2023; Los Angeles, CA, USA)

GPA: 3.89/4.00. Major: Signals and Systems. Minor: Circuits and Embedded Systems. [diploma][transcript]

Thesis: Physics-Aware Tiny Machine Learning [link]

Distinguished Ph.D. Dissertation Research Award Finalist [link]
2023 Engineering Achievement Award for Student Welfare [link]
2023 Commencement National Anthem Performer [link]

M.S. in Electrical and Computer Engineering (Sept 2019 - June 2021; Los Angeles, CA, USA)

GPA: 4.00/4.00. Major: Signals and Systems. Minor: Circuits and Embedded Systems. [diploma][transcript]

Thesis: Robust and Efficient Neural Inertial Localization and Complex Activity Recognition. [link]

Distinguished Master's Research Award Finalist. [link]

University of Dhaka

B.Sc. in Electrical and Electronic Engineering (Jan 2015 - Jan 2019; Dhaka, Bangladesh)

GPA: 3.94/4.00 (1st position). Major: Computer Engineering. Minor: Communication Engineering [diploma][transcript]

Dean's Award 2018, Faculty of Engineering and Technology, University of Dhaka. [link][link]
Prime Minister's Gold Medal 2019, University Grants Commission of Bangladesh [link][link][link][link][link]
Scholarship for Jagannath Hall Residents, 2016. [link]

Thesis:

Feature Extraction and Semi-Supervised Learning in a Wrist Mounted Motion Detection System for Elderly Citizens. [link]
Addressing Security Vulnerabilities of Cyberphysical Remote-Sensing Small Satellite Systems. [link]

Shanghai Jiao Tong University, Middle East Technical University, and Beihang University

Advanced Training in Small Satellite Engineering (2017, 2018, 2019; Shanghai, Ankara and Beijing (China and Turkey))

[diplomas]

First Place Winner, ADCS Hands-On Training Workshop, APSCO Student Small Satellite 3rd Summer Camp - Summer 2019, Shanghai Jiao Tong University. [link]
Excellent Student Award, 2018 Second Summer Camp of the APSCO Student Small Satellite Project, Middle East Technical University. [link]
Excellent Student Award, 2017 First Summer Camp of the APSCO Student Small Satellite Project, Beihang University. [link]

Maple Leaf International School

International Advanced Level (Jul 2012 - Oct 2014; Dhaka, Bangladesh)

4 A* [diploma]

16th the Daily Star Award.
Award for Outstanding Contribution to School ECA, Maple Leaf International School, 2014.

International General Certificate of Secondary Education (Jan 2001 - Jun 2012; Dhaka, Bangladesh)

7 A*, 1 B [diploma]

14th the Daily Star Award.
The Edexcel High Achievers' Award, Pearson.

Me and My Research Interests

For over a decade, I have been researching the design, development, optimization, and deployment of physics, uncertainty, lifelong-learning, and hardware-aware tiny AI models in wearables, automotive computers, robots, agricultural equipment, biologgers, small satellites, industrial machinery, and medical devices. Regarding my relevant experience and credentials, I earned my Ph.D. and M.S. in Electrical and Computer Engineering from the University of California Los Angeles (UCLA) in 2023 and 2021, respectively, with distinguished research dissertation awards. I also earned a B.Sc. in Electrical and Electronics Engineering from the University of Dhaka in 2019, graduating as a prime minister’s gold medalist.

After earning my doctoral degree, I joined STMicroelectronics (Santa Clara, CA, USA), a multinational semiconductor company, as an algorithm development engineer in the MEMS Software Solutions Team and have been continuing my research since.

To date, I have published over 30 articles in leading journals and conferences in the field of applied tiny machine learning (tinyML) and edge AI deployment, including IEEE Sensors Journal, Nature Biotechnology, ACM Transactions on Embedded Computing Systems (TECS), IEEE International Conference on Robotics and Automation (ICRA), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), ACM International Conference on Pervasive and Ubiquitous Computing (UbiComp), Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), and ACM Conference on Embedded Networked Sensor Systems (SenSys). My work has been cited over 600 times, has won 30+ awards in technical and business case competitions, and has been featured in major national newspapers in my home country. Some of the notable awards include the 2022 Southern California Robotics Symposium Rising Star Award, the 2021 IEEE Computer Society Lance Stafford Larson Best Paper Award, the 2018 Edward M. Kennedy Center Science for Mankind Research Award, the 2018 IEEE Richard E. Merwin Award, the 2017 All IEEE Young Engineers' Humanitarian Challenge, and the 2017 Rise High Bangladesh Award.

I have been granted 2 patents in my field and have 7 submitted patent applications, all of which are being adopted by major U.S. AI companies such as Meta, Google, Tesla, Garmin, Swift Navigation, Cisco, and Sage.

I also serve as a reviewer and program committee member for leading journals and conferences in my field, including the AAAI Conference on Artificial Intelligence, Nature Scientific Reports, IEEE Internet of Things Journal, ACM Transactions on Cyberphysical System, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, and Elsevier Pattern Recognition Letters. 

I have been invited to speak on my work and provide tutorials at international platforms and topmost global universities, including the Networked and Distributed Security Symposium, Indian Institute of Technology Delhi, EdgeAI (tinyML) Foundation Webcast, IEEE Computer Society Bangladesh Chapter, and ACM Conference on Embedded Networked Sensor Systems.

I am a member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), serving as treasurer of the IEEE San Francisco Bay Area MEMS and Sensors Chapter since 2024, which earned the best chapter award in IEEE Region 4 and 6 in 2024.

Skills

Python

C, C++

Mbed RTOS

Arduino

TensorFlow

Keras

PyTorch

MATLAB

TensorFlow Lite Micro

Edge Impulse

Scikit-Learn

SMT Reflow and Soldering

Eagle EDA

Altium Designer

3D Printing (FDM, SLA)

Laser Cutting

AutoCAD

SolidWorks

Illustrator

Premier Pro

Ansys

CST

Linux

Proteus

Multisim

AirSim

Webots

Gazebo

ROS

AGI-STK

Simulink

STM32

OpenCV

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