📚 My Research Blog

Welcome to my daily research log for the CEAMLS SAIRI Summer 2025 program. Each entry reflects hands-on learning, challenges, and reflections.

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📅 Table of Contents

• Week 1 (May 26 – May 30)

  • Day 1 – Learning Git and Github
  • Day 2 – Learning About Python
  • Day 3 – Reading, Writing and Appending to files using Python.
  • Day 4 – More reading and writing to files in Python. Learning about Large Language Models
• Week 2 (June 2 – June 6)

  • Day 5 – Meeting My Faculty mentor and first day in person
  • Day 6 – Begin work on our research project
  • Day 7 – Learning about the libraries we are going to use in our research project
  • Day 8 – Denoiseing the image
  • Day 9 – Working on our weekly presentations
• Week 3 (June 9 – June 13)

  • Day 10 – Setting goals for the week and setting the strategy for extracting information from the dataset
  • Day 11- Changing Direction
  • Day 12- Working with the new dataset
  • Day 13- Loading the Waveform
  • Day 14- Time Domain Feature Extraction
• Week 4 (June 16 – June 20)

  • Day 15- Advancing The ai models
  • Day 16- Deep Learning Model Development for ECG Analysis
  • Day 17- Refining the Foundation: Laying the Groundwork for Model Training
  • Day 19- Optimizing ECG Model Training Through Data Validation and System Debugging
• Week 5 (June 23 – June 27)

  • Day 20 - Learning Through Struggle
  • Day 21 - Strategic Shift in Dataset Handling
  • Day 22 - Fusing Models and Rethinking Strategy
  • Day 23 - Laying the Groundwork for Model Expansion
  • Day 24 - Fusing Models and Moving Forward
  • Day 25 -
• Week 6 (June 30 – July 4)

  • Day 26 - Model Accuracy & Presentation Kickoff
  • Day 27 - Laying the Foundation: Model Refinement and Presentation Kickoff
  • Day 28 - Presentation Dayyyyyyyyyyy
• Week 7 (July 7 – July 11)

  • Day 30 - Building and Debugging a Multimodal 1D CNN + Transformer for ECG Diagnosis
  • Day 31 - Model Optimization and Strategic Alignment – A Day of Progress and Guidance
  • Day 32 - Team Building and Steady Progress
  • Day 33 - Writing Skills Workshop at the Business School
  • Day 34 -Building the 2D CNN Model for ECG Spectrogram Classification
• Week 8 (July 14 – July 18)

  • Day 35 -Advancing ECG Diagnostics Through Deep Learning
  • Day 36 -Understanding Team Dynamics and Project Progress
  • Day 38 - Fusing Intelligence: Advancing ECGNet Through Multimodal Integration
  • Day 39 - Advancing ECG Diagnostics Through Multimodal AI Fusion
• Week 9 (July 21 – July 25)

  • Day 40 - Advancing Explainable AI and Preparing for Public Presentation
  • Day 41 - Simulating Real-World ECG Variability Through Noise Augmentation
  • Day 42 - Wrapping Up Methodology Draft
  • Day 43 - Enhancing Multimodal Robustness + Research Sync-Up
  • Day 44 - Finalizing the Research and Preparing for the Presentation
• Week 10 (July 28 – August 1)

  • Day 45 - Refining Results and Image Selection for Presentation
  • Day 46 - Refining Research Documentation and Visual Results
  • Day 47 - Preparing for Presentation