Shovito Barua Soumma
Graduate Service Assistant, Summer 2025,
CHS Office of the Dean - Academic Success - Graduate Education
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6161 E Mayo Blvd #319 Phoenix, AZ 85054
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Mail code: 8620Campus: Dtphx
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Student Information
Graduate StudentBiomedical Informatics
Health Solutions
Long Bio
Shovito Barua Soumma is currently a Ph.D. student at Arizona State University, hailing from Bangladesh. He is a Graduate Research Associate at the Embedded Machine Intelligence Lab (EMIL) led by Professor Dr. Hassan Ghasemzadeh. His research primarily focuses on machine learning, digital health, algorithm design, health monitoring system development and human behavior modeling using wearable sensors. Shovito is driven by a passion for developing systems that enhance human interaction and address everyday challenges.
Awards and Honors
- Soumma, B. S. (November 2024). Fall 2024 ASU Graduate Student Government (GSG) Outstanding Research Award.
- Soumma, B. S. (September 2024). Graduate College 2024-25 Q2 Travel Award to attend IEEE BHI'24 Conference. Total: $300.00
- Soumma, B. S. (September 2024). Seed Grant in the CHS Heat and Health Student Research Challenge, 2024, Arizona State University [News] [Pitch Fest Story]. Total: $50,000.00
- Soumma, B. S. (July 2024). Pilot funding for the research proposal in the CHS Heat and Health Student Research Challenge, 2024, Arizona State University. Total: $5000.00
- Soumma, B. S. (January, 2024). Graduate Research Support Program Research Grant. Graduate & Professional Student Association, Arizona State University. Total: $750.00
Education
- Ph.D. in Biomedical Informatics, Arizona State University (Aug 2023 - Present)
- B.Sc. in Computer Science, Bangladesh University of Engineering and Technology (2022)
Google Scholar URL
ORCID Profile ID
Research Interests
- Mobile Health
- Machine Learning
- Human Behavior Modeling
Research Group
Publications
- Shovito Barua Soumma, S M Raihanul Alam, Rudmila Rahman, Umme Niraj Mahi, Abdullah Mamun, Sayyed Mostafa Mostafavi, Hassan Ghasemzadeh, “Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors”, The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 14–17, 2025, Copenhagen, Denmark.
- Sanyam Paresh Shah, Abdullah Mamun*, Shovito Barua Soumma, Hassan Ghasemzadeh, “Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals”, The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 14–17, 2025, Copenhagen, Denmark.
- Shovito Barua Soumma, Fahim Shahriar, Umme Niraj Mahi, Md Hasin Abrar,
Md Abdur Rahman Fahad, ASM Latiful Hoque, "Design and Implementation of a Scalable Clinical Data Warehouse for Resource-Constrained Healthcare Systems", The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 14–17, 2025, Copenhagen, Denmark. - S. B. Soumma, A. Mamun, and H. Ghasemzadeh, “Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract)”, AAAI, vol. 39, no. 28, pp. 29495-29497, Apr. 2025.
- SB. Soumma, D. Peterson, H. Ghasemzadeh, SH. Mehta. AI-Powered Detection of Freezing of Gait Using Wearable Sensor Data in Patients with Parkinson’s Disease [abstract]. Mov Disord. 2024; 39 (suppl 1).
- I. R. Rahman, S. B. Soumma and F. B. Ashraf, "Machine Learning Approaches to Metastasis Bladder and Secondary Pulmonary Cancer Classification Using Gene Expression Data," 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022, pp. 430-435, doi: 10.1109/ICCIT57492.2022.10054906.
Teaching Website URL
Courses
2025 Spring
| Course Number | Course Title |
|---|---|
| BMI 310 | App Development for Pop Health |
Graduate Faculties / Mentoring History
- Fall 2024-Spring 2025: 1 undergrad student (Hon's Thesis)
- Fall 2024-Spring 2025: 1 undergrad student (Capstone Project)
Industry Positions
- IQVIA (Aug 2022 - April 2023) - The clinical research company is based in North Carolina, USA - Worked as a Backend Software Developer. Used .NET to create web apps. - Refactored some backend codes in .Net. - Documented API using Swagger. - Analyzed, estimated, and implemented new functionalities - Tested, debugged, diagnosed, and corrected errors using established testing protocols, guidelines, and quality standards. - Collaborated with cross-functional teams, including business analysts, project managers, and quality assurance personnel, to ensure successful project delivery and client satisfaction.