Ideas become
things we can test.

AIAC is a student research community working across applied AI and computing systems. We turn questions into experiments, document the method, and share what can be reproduced.

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Student-led · Faculty-guided · Open research

AIAC / RESEARCH MAP01—06

06Research themes

12Documented projects

04Cross-pod councils

A shared lab for careful experiments
and useful systems.

01 / RESEARCH AREAS

Six ways into
the hard questions.

Independent research groups, connected by shared standards for evaluation, documentation, and review.

01Regional NLP & Indic LLMsTokenization, Kannada sentiment parsing, cross-lingual pseudo-labeling, and parameter-efficient fine-tuning (PEFT/LoRA) on open weights.02Edge AI & Vision SystemsReal-time perception pipelines, INT8/FP4 quantization, multi-camera telemetry streaming, and embedded acceleration on NVIDIA Jetson.03Agentic AI & Autonomous LoopsDeterministic multi-agent consensus protocols, code review graphs, verifiable tool calling, and grounded RAG attribution.04Healthcare & Bio-SignalsSingle-lead ECG arrhythmia classification, mobile EEG artifact removal, continuous physiological telemetry, and compact 1D-CNNs.05Secure AI & Model EthicsSystematic prompt injection evaluation, MITRE ATLAS threat profiling, dataset provenance auditing, and algorithmic fairness.06Systems, HPC & MLOpsAutomated experiment lineage, GPU telemetry testbeds, deterministic seed integrity, and heterogeneous model offloading.

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02 / IN PROGRESS

Research at work.

Project index

FEATURED PROJECT · ACTIVE

Kannada Named Entity & Morphological Segmentation Benchmark

Developing a standardized tokenization and morphological parsing pipeline for low-resource Kannada administrative documents with comparative subword vocabulary boundary metrics.

Regional NLP & Indic LLMsRead project note