Track E · Faculty Enablement & Research

Track E Faculty Enablement & Research

Kompas AI builds your university's internal AI capacity — faculty upskilling, AI research lab setup-as-a-service, accreditation support, and an AI innovation cell. The track that makes us a multi-year strategic partner.

Talk to our partnerships team See Track E case studies

Track E snapshot — faculty workshops, research lab, accreditation, incubation.

NEP 2020Credit-mapped NAACEvidence-ready AICTEModel-curriculum aligned NBAOBE-mapped

The course list

Four pillars of Track E.

Track E is delivered as a portfolio of services, not a credit-bearing student course. Each pillar is staffed and scoped per partner-university engagement.

Faculty AI Upskilling Program

Year-round

Skill outcomes

Train your faculty cohort across every department to integrate AI into teaching, research, and administrative work
Equip lecturers with hands-on Python and PyTorch fluency through Tier 3 deep technical upskilling
Build discipline-specific AI fluency for ten departments via Tier 2 tracks
Produce internal Kompas-trained co-faculty who can lead Tracks A–D delivery by year three

AI Research Lab Setup-as-a-Service

Year-round

Skill outcomes

Stand up a publishable AI research group within 18 months, with embedded PhD-level mentors and GPU credits
Mentor faculty and PhD students through paper submission to NeurIPS workshops, ICLR, IndoML, and discipline journals
Win first research grant within 24 months across DST, MeitY, AICTE, or ICMR funding lines
Drive first NIRF research-score uplift within 36 months through industry research partnerships and joint publications

AI Curriculum Audit & Accreditation Support

Year-round

Skill outcomes

Map your AI curriculum to the NEP 2020 credit framework across specializations, minors, AECCs, VACs, and SECs
Generate NAAC, NBA, and NIRF evidence packs covering labs, faculty, outcomes, and published research
Align courses with the AICTE Model Curriculum and complete OBE mapping with PO/CO matrices
Get a named Kompas accreditation lead embedded for the reaccreditation cycle

AI Innovation & Incubation Cell

Year-round

Skill outcomes

Stand up an AI startup incubator on campus with Kompas-trained Entrepreneurs-in-Residence embedded full-time
Run a pre-incubation idea-to-MVP program for student teams, with 12 months of cloud and tooling credits covered
Bridge student capstones to angel and seed funding via Kompas's investor and acquirer network
Align student, university, and Kompas incentives through a shared equity carry on incubated companies that exit

Capstones from this track

What a Track E student ships at the end.

Examples below are illustrative until real partner-cohort capstones land. The shape — sponsor, problem, outcome, public artefact — does not change.

See the full capstone library

Track EFaculty EnablementPartner university (mixed departments)

Faculty AI-literacy cohort at a partner university

Problem

A partner university's existing faculty across CSE, Business, Law, and Liberal Arts need AI fluency to support — and eventually co-deliver — Kompas tracks themselves.

Target outcome

A 12-week cohort producing ~20 faculty members fluent enough to co-teach Track D modules and contribute to curriculum refresh cycles. A subset signs on as long-term Kompas-trained co-faculty.

Track EResearch LabPartner research group

First publishable AI-research output from a partner lab

Problem

A partner research group with a strong domain background but no prior AI-publication track wants to ship a peer-reviewed paper within 18 months without abandoning their domain.

Target outcome

A joint paper accepted to a workshop at a top-tier ML or domain conference within 14 months of lab launch. First DST/ICMR grant submission filed with Kompas grant-writing support; pending review.

See 4 more Track E capstones →

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