┌─────────────────────────────────────────────────────────────────┐
│ │
│ name : Sujan Kumar MV │
│ alias : KRYSTALM7 │
│ role : Backend Engineer @ Tata Consultancy Services │
│ education : M.Tech CS — VIT Vellore (GPA: 8.21/10) │
│ location : Hyderabad, India │
│ focus : Distributed Systems · AI/ML · Cloud │
│ published_in : Springer · Nature Portfolio · IET Book Chapter │
│ at_work : Modernizing legacy COBOL → Java/Spring Boot │
│ fun_fact : I build systems that talk │
│ │
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| # | Title | Venue | Year |
|---|---|---|---|
| 01 | Optimizing Charge–Discharge Cycles Using QPPONet-Enabled Hybrid Learning Framework for Energy Management and Safety in Electric Vehicles | Scientific Reports (Nature Portfolio) · Q1 · IF ~3.9 · Accepted | 2026 |
| 02 | Energy Optimization in EV Battery Management Systems — RL + ML hybrid framework | ICSPER (Accepted · To be Published via Springer) | 2025 |
| 03 | Generative AI for Brain Tumor Detection — GAN + CNN (VGG16, ResNet50) | IET Book Chapter · Generative AI Unleashed | 2024 |
| 04 | Fake News Integrity via LSTM + XGBoost — 92.4% on LIAR dataset | CKM 2024 · Cybersecurity in Knowledge Management | 2024 |
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