GitHub - diptiman-mohanta/diptiman-mohanta: Config files for my GitHub profile.

📊 GitHub Metrics

🎯 Profile Summary

💻 Language Statistics

📅 Commit Calendar

📊 Detailed Activity Graph

🎓 Professional Profile

🔬 Current Position

Project Associate @ SPIRE Lab, Indian Institute of Science (IISc), Bangalore

🎯 Research Experience

🏛️ Student Research Associate | IIT Kanpur
🛡️ Student Research Intern | DIAT-DRDO, Pune

🎓 Education

B.Tech in Electrical Engineering
Parala Maharaja Engineering College, Berhampur

📍 Location

🇮🇳 Bangalore, Karnataka, India

class Researcher:
    def __init__(self):
        self.name = "Diptiman Mohanta"
        self.role = "Project Associate"
        self.lab = "SPIRE Lab, IISc"
        self.focus = "Signal Processing, ML"
        
    def expertise(self):
        return {
            "AI": ["Deep Learning", 
                   "Neural Networks", 
                   "Image Processing"],
            "Signal": ["ECG", "EEG", 
                      "Speech"],
            "Code": ["Python", "MATLAB",
                    "PyTorch", "TensorFlow"]
        }
    
    def current_work(self):
        return "ASR for Indian Languages"

🔬 Research Interests

🫀 Biomedical Signals	🧠 Deep Learning	📊 Time-Series Analysis
ECG/EEG Classification	CNNs & Transformers	Time-Series Classification
Feature Extraction	Complex-Valued NNs	Time-Frequency Analysis
VMD, DWT, STFT	Transfer Learning	Signal-to-Image Conversion
Clinical Data Processing	Model Explainability	Data Augmentation

🗣️ NLP & Speech	🔍 Medical AI	🖼️ Computer Vision
ASR for Indic Languages	Diagnostic Systems	Image Segmentation
Text Normalization	Clinical Models	U-Net Architectures
Low-Resource LLMs	Explainable AI	Object Classification
Speech Recognition	Healthcare Analytics	Object Detection

🎯 Current Research Focus

🔬 Active Research Projects (Click to collapse)

💡 Note: This section is manually updated. Last updated: December 2024

🧠 Neural Networks & Deep Learning

✅ Fully Connected Complex-Valued Neural Networks
- Phase information processing
- Real and imaginary component learning
✅ Model Explainability in Medical AI
- SHAP and LIME integration
- Grad-CAM visualizations
🔄 Advanced Architectures
- Attention mechanisms
- Transformer-based models

🗣️ Language Models & Speech

✅ Text Normalization in Indic Languages
- Low resource Speech processing
- Rule-based and DL approaches
✅ ASR for Low-Resource Indian Languages
- ASR Development
- Custom datasets
✅ Large Language Models (LLM)
- Character, Words, BPE Level LMs
- SSM LMs

🖼️ Image Analysis & Computer Vision

✅ Image Segmentation using Deep Learning
- U-Net and variants
- Semantic segmentation
✅ Medical Image Classification
- CNN architectures
- Multi-class classification
✅ Time-Frequency Image Generation
- STFT, CWT, Scalograms, GAFs, MTFs
- GAF and Spectrogram analysis
🔄 Advanced Segmentation Techniques
- Mask R-CNN
- Instance segmentation

🧬 Biological Systems & Signal Processing

📝 Mathematical Modelling of Biological Systems
- Differential equations
- System dynamics
✅ Signal Processing in Healthcare
- Real-time processing pipelines
- Noise reduction techniques
✅ Data Augmentation Techniques
- SMOTE, ADASYN
- Synthetic data generation
🔄 Physiological Signal Analysis
- Multi-modal integration