Research Collaboration Intake

We partner with academic laboratories, faculty researchers, and industry engineering teams on open-source tool development, compute benchmarking, and dataset evaluation.

1. Organization & Contact

Primary Contact Name *

Institution / Organization *

Official Email *

Collaboration Mode *

2. Scope & Technical Proposal

Aligned Research Pod

Summary of Proposed Collaboration *

Collaboration Principles

Open Science: Outputs are published under CC BY 4.0 and OSI open source terms.
Student Authorship: Student researchers who write code or run experiments receive formal author attribution.
Hermetic Compute: All benchmarks must be independently replicable by peer institutions.

Direct Lab Inquiries

For formal institutional MOUs, grant proposals, or hardware donations:
research@aiac.example.edu

AIAC

AI & Analytics Club — Research Division. An autonomous student-led research collective exploring applied AI, systems, and theoretical foundations.

Affiliated with the Department of Computer Science & Engineering.
Open research, peer accountability, computational rigor.

Navigation

Home
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Reproducibility

Research Themes

01 · Regional NLP & Indic LLMs
02 · Edge AI & Vision Systems
03 · Agentic AI & Autonomous Loops
04 · Healthcare & Bio-Signals
05 · Secure AI & Model Ethics
06 · Systems, HPC & MLOps

Engagement

Apply as Researcher
Research Collaboration
Reproducibility Standards
Staff Portal

Inquiries

research@aiac.example.edu

Open Source artifacts licensed under MIT / Apache 2.0.

Cycle 2026.1 Active

ESC

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