🎓 PhD-track AI Researcher | ⚡ Edge-ML Builder | 🌍 Open-source Advocate
Texas A&M University–Corpus Christi • iCORE Lab
- 🧠 Research focus: GNNs, diffusion & transformer models, trustworthy LLMs
- 🔌 Current work: AI-driven geospatial microgrids & EV-charging optimization
- 📝 Publications: IEEE CAI ’25 • IEEE BIG DATA ’24 • LLM calibration study (rev.)
- 🥇 Wins: National Smart India Hackathon champion (EV range prototype)
- 🎤 Leadership: Session Chair – IEEE CAI 2025 (Graph Learning & Visualization) and Peer Reviewer DMI 2025 Assessed three AI papers on LLM & RAG.
- Business Build AI — No-code branding generator blending Stable Diffusion & OpenAI; slashes content-creation time by 50 %.
- Content Right — Text-to-video pipeline (TensorFlow + React) boosting engagement by 40 %.
- ConvTTrans + ConvLSTM — Edge-ready hybrid vision model for video anomaly detection on Jetson devices.
- Microgrid Forecaster — Graph-based tool that shaved 7 % off evening peak load on campus.
- HiFi-GAN Mobile Vocoder — 3 kbps speech codec running <30 ms on iPhone (CoreML + XNNPACK).
Detailed write-ups & code in pinned repos.
- IEEE CAI 2025: Real-Time Adaptive Multi-Modal Stock Prediction with Temporal Graph Attention
- IEEE BIG DATA 2024: Multi-Modal Transformer for Sturdy Stock Return Forecasting
- (Under Review): Calibration Limits of LLMs in Implicit Hate-Speech Detection
💬 Session Chair, IEEE CAI 2025 | 🌐 Workshop Lead, IEEE PES RES Robotics 2024 | 🚀 Mentor, IEEE YP Hackathon (Smart Microgrid Analytics)
Transforming raw data into resilient, human-centered energy & AI solutions. — Abhishek