About Me
Shovito Barua Soumma is a Ph.D. student at Arizona State University, hailing from Bangladesh. Currently he is working as a Graduate Research Associate at Embedded Machine Intelligence Lab (EMIL) led by Dr. Hassan Ghasemzadeh.
His research primarily focuses on deep learning, mHealth, health monitoring system development, human behavior modeling using wearable sensors and Human-Computer Interaction. Shovito is driven by a passion for developing systems that enhance human interaction and address everyday challenges.
Prior to his current endeavors, Shovito gained valuable experience as a Software Engineer at IQVIA, a Clinical Research Industry based in North Carolina. He also contributed as an Adjunct Lecturer at East Delta University. He received his Bachelor’s (B.Sc.) in Computer Science and Engineering from Bangladesh University of Engineering & Technology (BUET) in May 2022.
Outside the realm of academia, Shovito is an avid outdoor enthusiast. In his leisure time, he enjoys socializing with friends and family, and he is always eager to try new culinary delights.
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- Name Pronunciation (He/Him/His): Sho-vee-tow (Shovito) Bo-ruu-aa (Barua) Showmmo (Soumma).
Shovito means embellished in Bangla. Click the audio player below to listen to the pronunciation of my name.
- Deep Learning
- Mobile Health
- Human Behavior Modeling
- Parkinson Disease
Ph.D. in Biomedical Informatics, Aug 2023 - Present
Arizona State University
MS in Biomedical Informatics & Data Science, May 2025 (Expected)
Arizona State University
B.Sc. in Computer Science & Engineering, 2017 - 2022
Bangladesh University of Engineering and Technology (BUET)
Publications
![Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning [Abstract]](/publication/24-bhi-pd-ssl-abstract/featured_huffcf5d985c04d8a5ae6716db266ff5c6_360494_150x0_resize_lanczos_2.png)
![AI-Powered Detection of Freezing of Gait Using Wearable Sensor Data in Patients with Parkinson’s Disease [Abstract]](/publication/shovito-2024-mds-ai-powered-detection-of-freezing-of-gait/featured_hu907fb441c9a94fec6fb73f577dc03ae0_235292_150x0_resize_lanczos_2.png)
Experience
I am currently working on creating an adaptive system for Parkinson’s Disease (PD) management using wearable tech and machine learning.
PI: Dr. Hassan Ghasemzadeh
Co PIs: Dr. Daniel Peterson, Dr. Shyamal Mehta (MD)
CPS This research addresses the challenges of designing high-performance systems in uncontrolled environments, enabling accurate monitoring and interventions across a wide range of applications beyond behavioral medicine.
PI: Dr. Hassan Ghasemzadeh
Co PIs: Dr. Naomi Chaytor, Dr. Michael J. Cleveland
- BMI 201 Introduction to Clinical Informatics (Spring 2024), Course Instructor: Dr. Marcela Aliste
- BMI 502 Foundations of Biomedical Informatics Methods I (Fall 2024), Course Instructor: Dr. Hassan Ghasemzadeh
- BMI 310: App Development for Clinical & Population Health (Spring 2025), Instructors: Shovito B Soumma, Dr. Hassan Ghasemzadeh
For more details on the courses, please visit this page.
Taught undergraduate courses. I have also designed substantial study materials and lab assignments for these courses.
Summer 2022:
- CSE 321, CSE 322 (Computer Graphics Theory, Computer Graphics Lab)
- Various math courses, including Differential Calculus, Vector Analysis, and Coordinate Geometry.
Fall 2022:
- CSE 463 Machine Learning
- CSE 221, CSE 222 (Algorithms Theory, Algorithms Lab)
