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Research Spectrum

Pioneering Core & Applied AI Paradigms

Explore the specialized computational domains supported by AICDS research grants, special interest groups, and symposium tracks.

Generative AI & LLM Orchestration

Investigation into parameter-efficient fine-tuning (PEFT/LoRA), retrieval-augmented generation (RAG) with hybrid lexical-dense vector indexing, multi-agent goal decomposition graphs, and verifiable reasoning pipelines.

  • Domain-specific small language model optimization
  • Self-reflecting multi-agent tool-use loops
  • Hallucination mitigation and attribution verification

High-Velocity Data Engineering

Modern enterprise architectures handling exabyte-scale analytics, distributed vector search mechanisms (HNSW, IVF-PQ), lakehouse query optimization, and real-time streaming feature stores.

  • Sub-50ms Approximate Nearest Neighbor indexing
  • Distributed graph databases and knowledge reasoning
  • Continuous streaming data pipelines with Kafka & Flink

Edge AI & Embedded TinyML

Deploying neural models to low-power edge compute units under 50mW for smart agriculture, remote health sensors, and autonomous drone navigation without continuous internet access.

  • Post-training integer quantization (INT8/INT4)
  • Hardware-accelerated DSP and NPU runtime engines
  • Federated on-device model learning

Quantum Computing & QML

Parameterized quantum circuits, quantum approximate optimization (QAOA), variational quantum eigensolvers (VQE), and hybrid quantum-classical neural network architectures.

  • Variational quantum algorithms using Qiskit & PennyLane
  • Quantum kernel methods for high-dimensional feature spaces
  • Noise mitigation in Noisy Intermediate-Scale Quantum (NISQ) systems
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