Curriculum Vitae

Download resume here

Publications

• Sicong Huang, Roozbeh Jafari, and Bobak Mortazavi, ArterialNet: Arterial Blood Pressure Reconstruction, IEEE International Conference on Biomedical and Health Informatics (BHI), 2023 (acceptance rate: 24.5%)
• 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 (acceptance rate: 24.5%)

Contributions and Open-Source Projects

• ArterialNet: We proposed a pre-training framework that can be combined with various seq2seq models to reconstruct arterial blood pressure using cuffless pulse signals (draft to BHI’23).

Skills

• Programming Languages: Python, MATLAB, LaTeX, R, C++, 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

Research Experience

• 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.
• 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).
• 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).
• Team Member: November 2017 - May 2019
  • Smart City Lab, Texas A&M University
  • Mentor: Dr. Alireza Talebpour
  • Member of Texas A&M AutoDrive team 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

Work Experience

• 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 store user interactions with businesses using Neo4j
  • 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
• 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
• 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
• Student Worker, Dec 2017 – Dec 2018
• Open Access Labs, Texas A&M University
• Troubleshooted Win 10 and MacOS machines for customers
• Refilled and troubleshooted varieties of printers

Invited Talks

• Towards automatic diet monitoring, Tutorial on Macronutrient Estimation with Machine Learning, July 2023
• Research Experience for Undergraduates, Texas A&M University

AWARDS

• Year 2 Competition, May 2019
  • SAE/GM AutoDrive Challenge, MCity, Ann Arbor, MI
  • Third Place in Overall Competition
• Year 1 Competition, May 2018
  • SAE/GM AutoDrive Challenge, Yuma, AZ
  • First Place in Object Detection & Avoidance, Second Place in Overall Competition

Education

• PhD in Computer Science: 2021-2025 (expected)
  • Texas A&M University
  • Advisor: Dr. Bobak Mortazavi
• BS in Computer Science: 2017-2021
  • Texas A&M University
  • Minor in Cybersecurity