I'm Sicong Huang, a proud member of STMI lab, advised by Dr. Bobak Mortazavi.
I'm currently a pursuing PhD in Computer Science at Texas A&M University, a member of STMI lab, advised by Dr. Bobak Mortazavi.
I am a passionate and dedicated researcher specializing machine learning for clinical and remote health applications, with a primary focus on enhancing remote-sensing data quality, accurately monitoring cardiovascular diseases remotely, and tackling data heterogenity in clinical settings. I am driven by the potential of leveraging cutting-edge technology to make a positive impact on patient outcomes and revolutionize the way healthcare is delivered.
Specifically, I am deeply interested in time-series analysis and its application to cardiovascular data. By harnessing the power of machine learning algorithms, I aim to extract meaningful insights from complex pulsatile physiological signals, such as Photoplethysmography (PPG), bio impedance, and electrocardiograms (ECGs) to accurately monitor hemodynamic parameters and detect cardiovascular diseases. I am also interested in developing both data-driven and method(knowledge)-driven novel signal processing techniques to enhance the quality of remote-sensing data, to improve prediction of any downstream ML-infused remote health monitoring.
- LinkedIn: Sicong Huang
- Personal Website: Sicong Huang
- Email: siconghuang at tamu.edu
- Doctor of Philosophy (PhD) in Computer Science: 2021-2025 (expected)
- Texas A&M University
- Advisor: Dr. Bobak Mortazavi
- Bachelor of Science (BS) in Computer Science: 2017-2021
- Texas A&M University
- Magna Cum Laude
- Minor in Cybersecurity
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Research Assistant: June 2021 - present
- STMI Lab, Texas A&M University
- Advisor: Dr. Bobak Mortazavi
- Cuffless Blood Pressure Monitoring with wearables.
- Remote Cardiac Rehabilitation with wearables.
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Undergraduate Researcher: August 2020 - May 2021
- STMI Lab, Texas A&M University
- Advisor: Dr. Bobak Mortazavi
- Inverse Metabolic Monitoring (IMM) from Continuous Glucose Monitoring (CGM).
- Twitter Sentiment Analysis with ML and natural language processing (NLP).
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Undergraduate Researcher: August 2019 - June 2020
- Information Innovation Lab, Texas A&M University
- Advisor: Dr. Anxiao Jiang
- "Looking down at phone" action Recognition with ML and computer vision (CV).
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Team Member: November 2017 - May 2019
- Smart City Lab, Texas A&M University
- Mentor: Dr. Alireza Talebpour
- Member of Texas A&M AutoDrive team (12th Unmanned) to the SAE/GM AutoDrive Challenge
- Wrote an API to establish synchronization between LiDAR and GPS for sensor fusion in year 1
- Led the UIUX team, developed a SaaS GUI using JavaScript and C++ on Unix platform in year 2
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Database Administrator and Software Engineer: May 2020 - August 2020
- Nuvenu LLC (Tech Startup), Fort Worth, TX
- A social media platform that connects customers and local businesses across restaurants, bars, theatres, etc.
- Architected and Implemented a cloud graph database to handle relationships and connections among business, user, post, etc.
- Wrote RESTful APIs using .NET Core to enable the website to perform CRUD via HTTP requests to the database with MVC pattern and Agile development practice
- Managed the project with Azure DevOps and deployed the website and database on Azure
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Peer Teacher: August 2019 - May 2021
- CSE Peer Teaching, Texas A&M University
- CSCE 315: Programming Studio
- CSCE 314: Programming Languages
- CSCE 313: Introduction to Computer Systems
- CSCE 222: Discrete Structures for Computing
- CSCE 221: Data Structures and Algorithms
- CSCE 121: Introduction to Program Design and Concepts
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Student Assistant: May 2019 - October 2019
- Health Promotion and Genomics Lab, Texas A&M University
- Designed promotional documents to recruit Community Health Workers
- Translated and modified recruitment letters and application forms for minority population
- Created and pilot tested the training program
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Student Worker, Dec 2017 – Dec 2018
- Open Access Labs, Texas A&M University
- Troubleshoot Win 10 and MacOS machines for customers
- Refilled and troubleshooted varieties of printers
- Sicong Huang, Roozbeh Jafari, and Bobak Mortazavi, ArterialNet: Arterial Blood Pressure Reconstruction, IEEE International Conference on Biomedical and Health Informatics (BHI), 2023 (Accepted with oral: 12%)
- Lida Zhang, Sicong Huang, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, and Bobak Mortazavi, Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation, IEEE International Conference on Biomedical and Health Informatics (BHI), 2023 (Accepted with oral: 12%)
- ArterialNet: We proposed a pre-training framework that can be combined with various seq2seq models to reconstruct arterial blood pressure using cuffless pulse signals (Accepted in BHI'23).
- Calorie Prediction with Joint Embedding: We demonstrated that jointly embedding post prandial glucose response data and food image data will elevate food calorie estimation.(Accepted in BHI'23).
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IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Oct 2023
- Workshop on Unraveling Challenges in Time Series Analysis with Open Source Tools for Digital Health Applications
- Judge for BHI 2023 Data Challenge Competition (Phase 2)
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Research Experience for Undergraduates at Texas A&M University, Jul 2023
- Towards automatic diet monitoring, Tutorial on Macronutrient Estimation with Machine Learning
- Programming Languages: Python, MATLAB, C++, LaTeX, R, C#, Java, SQL, Cypher, JavaScript, JMP, TypeScript
- Tools/Packages: Pytorch, Scikit-learn, Git, Weights&Bias (wandb), TF/Keras,Pandas, Numpy, Matplotlib, Seaborn, Plotly
- Technologies/Frameworks: Linux, .NET, Apptainer/Singularity/Docker, Version Control, .NET, CI/CD, Scrum/Agile, Cloud Computing (AWS & Azure), Distributed Computing, Neo4j, Node.js, JDBC, MongoDB, PostgreSQL
- Reviewer: ACM Transactions on Computing for Healthcare (ACM HEALTH), 2023, 2024
- Reviewer: NPJ Biosensing, 2023
- Reviewer: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024
- Reviewer: Conference on Health, Inference, and Learning (CHIL), 2024
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BHI NSF Student Travel Award, Oct 2023
- IEEE International Conference on Biomedical and Health Informatics (BHI), 2023
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BSN NSF Student Travel Award, Oct 2023
- IEEE International Conference on Body Sensor Networks (BSN), 2023
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Year 2 Competition, May 2019
- SAE/GM AutoDrive Challenge, MCity, Ann Arbor, MI
- Third Place in Overall Competition
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Year 1 Competition, May 2018
- SAE/GM AutoDrive Challenge, Yuma, AZ
- First Place in Object Detection & Avoidance, Second Place in Overall Competition
Please go to my personal website to learn more about me.