ACES-ACM, IIT Delhi

What ACES-ACM, IIT Delhi does

ACES-ACM is the student chapter / research organization operating within the Department of Computer Science and Engineering (CSE) at the Indian Institute of Technology (IIT) Delhi, a government-funded statutory institute. The CSE department, founded in 1982, delivers undergraduate (B.Tech), postgraduate (M.Tech, MS(Research), Dual Degree) and doctoral (PhD) education, alongside visiting student opportunities, with PhD admissions held twice yearly and rolling year-round. Its eight declared research areas span Algorithms and Complexity, Architecture and Embedded Systems, Artificial Intelligence and Machine Learning, Graphics and Vision, Databases and Data Analytics, Programming Languages and Formal Methods, Networks and Operating Systems, and ICTs for Sustainability. Research is supported by a sizable in-house compute footprint — an HPC supercomputing facility with 422 compute nodes (238 CPU, 161 GPU-accelerated, 23 Xeon Phi) and the Baadal internal cloud (32 blade servers, 10 Gbps backbone, 10 TB virtualized storage) — and a General Computing Lab for coursework.

The department's business model is non-commercial: it is funded through government budgetary allocations, Ministry of Education grants, and competitive research grants secured by individual faculty from agencies such as ANRF and DST as well as industry sponsors including IBM, Intel, NXP, and Qualcomm. Tuition and fees are regulated as part of IIT Delhi's public institute structure. Revenue mechanics are therefore grant-cycle driven rather than market-driven. The customer base is primarily domestic and student-facing (PhD, M.Tech, B.Tech, MS(Research) cohorts), with a secondary segment of industry partners and international academic collaborators (Stanford, University of Queensland, TU Munich, Max Planck Institute) consuming research output in the form of joint publications, joint PhD programs, and technology transfer.

Strategic positioning is anchored by the QS 2024 global ranking of 63rd in Computer Science and Engineering, sustained top-tier conference output (ICLR 2025, AAAI, FOCS, SODA, ICML), and the IBM-IITD AI Horizons Network partnership in neuro-symbolic AI. Multiple best paper nominations at CODES+ISSS, DATE, ASPDAC, and VLSI-SoC, plus the 2024 Qualcomm Faculty Award and four ANRF Early Career Research Grants to CSE faculty, indicate concentrated research strength in computer architecture and embedded systems alongside theoretical and AI work. The department is operationally active, with an open Course Manager hire, ongoing admissions, and an annual PhD research symposium as primary engagement channels.

Name

ACES-ACM, IIT Delhi

Legal name

Indian Institute of Technology Delhi - Department of Computer Science and Engineering

Website

https://cse.iitd.ac.in

Company type

Private

Founded year

1982

Operating status

Operating

Headcount range

11–50 employees

Short description

The Department of Computer Science and Engineering at IIT Delhi, founded 1982 and ranked 63rd globally by QS 2024, is a publicly funded academic unit offering B.Tech, M.Tech, MS(Research), and PhD programs supported by an HPC facility with 422 compute nodes. It serves students and industry collaborators across eight CS research areas, including AI/ML, systems, and theory.

Ownership category

akta.pro rank

Product category

Higher Education - Computer Science

NAICS

Colleges, Universities, and Professional Schools (6113), Colleges, Universities, and Professional Schools (611310), Research and Development in the Physical, Engineering, and Life Sciences (54171), Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

SIC

Services-Educational Services (8200), Services-Engineering Services (8711), Services-Commercial Physical & Biological Research (8731)

akta.pro primary industry

Engineering & Technology Institutes (Comprehensive) (EDAHAEAA)

akta.pro secondary industries

Public Research Universities with Engineering/Polytechnic Emphasis (EDAHAAAD), Technical Universities with Specialized Engineering Domains (EDAHAEAI)

Keywords

• Computer science education
• Graduate research programs
• Higher education teaching
• University research lab
• HPC infrastructure access

Headquarters

HQ city

New Delhi

HQ country

India

HQ region

Asia

Offices2 records

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Infrastructure, Technology or R&D, Operations

Revenue model

1. Government Funding: IIT Delhi is a government-funded technical institute. The CSE department receives funding through institute allocations, Ministry of Education, and government research grants for various projects and infrastructure.
2. Research Grants: Faculty members secure research grants from agencies like ANRF (Anusandhan National Research Foundation), DST, Qualcomm, Intel, NXP for specific research projects and collaborations.

Go-to-market motion2 records

Distribution channels2 records

Marketing channels4 records

Core offering

The Department of Computer Science and Engineering (CSE) at IIT Delhi offers undergraduate, postgraduate, and doctoral academic programs (B.Tech, Dual Degree, M.Tech, MS(Research), PhD) along with supporting research infrastructure including an HPC supercomputing facility and dedicated research labs. Faculty and students conduct fundamental and applied research across eight computer science areas, publish at top-tier international conferences, and collaborate with industry partners.

Product overview

The Department of Computer Science and Engineering (CSE) at IIT Delhi is an academic department offering educational programs across multiple levels. The department provides Ph.D., MS(Research), M.Tech, Dual Degree, and B.Tech programs. It has research focus areas including Algorithms and Complexity, Architecture and Embedded Systems, Artificial Intelligence and Machine Learning, Graphics and Vision, Databases and Data Analytics, Programming Languages and Formal Methods, Networks and Operating Systems, and ICTs for Sustainability and Development. This is an educational/academic entity, not a product company.

Differentiator

Problem solved

Functional benefit

Products and services

• PhD Program in Computer Science and Engineering Doctoral research program with twice-yearly admissions (May and December) plus rolling admissions; spans all eight research areas of the department. Candidates submit research under faculty mentorship and target publications at top-tier conferences.
• M.Tech Program in Computer Science and Engineering Masters in Technology program with thesis/project components, covering advanced CS topics across the department's research areas. Applications handled via the IIT Delhi MTech admissions portal ([email protected]).
• MS(Research) Program Masters by Research program in Computer Science and Engineering providing thesis-based research training as an alternative to the coursework-focused M.Tech track.
• B.Tech Program in Computer Science and Engineering Undergraduate program in computer science fundamentals and applications, preparing students for technology industry careers. Coursework covers algorithms, systems, AI/ML, and other core CS areas.
• Dual Degree Program Combined B.Tech and M.Tech dual degree program allowing students to complete both undergraduate and masters-level studies in an integrated curriculum in Computer Science and Engineering.
• Visiting Student Program Program allowing visiting/casual students from other institutions to take courses at the CSE department on a short-term basis.

Quantifiable outcome

• 63rd global ranking in QS World University Rankings 2024 for Computer Science
• +3 more outcomes

Named customers5 records

Segments4 records

Ideal customer profiles4 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature3 records

Partnerships

Eight partnerships are on record, tiered core and minor.

• NXP SemiconductorscoreStrategic or Co-development Partner · 1 January 2024Collaborative research on cache architectures, memory management, and embedded systems. Multiple joint publications and projects including FLASH paper on deadline-aware LLC arbitration.
• Stanford UniversitycoreStrategic or Co-development Partner · 1 January 2024Naman Jain's PMRF Fellowship supports research collaboration with Stanford University in computer architecture and related areas.
• IntelcoreStrategic or Co-development Partner · 1 January 2023Research collaboration on shared cache management, FARRE project on fairness-aware request response arbitration, and other cache/memory optimization research.
• University of QueenslandcoreStrategic or Co-development Partner · 1 January 2023Joint PhD program in brain sciences and neuroimaging. Students can spend time at both institutions with options for Indian or Australian PhD tracks.
• TU MunichminorStrategic or Co-development Partner · 1 January 2022Collaboration on cryogenic-aware cache modeling (Cryo-CACTI project) and NCFET-based cache optimization research published in IEEE Trans. on Computers.
• Max Planck Institute for InformaticsminorStrategic or Co-development Partner · 1 January 2020Former affiliation of Prof. Srikanta Bedathur with research collaboration with Gerhard Weikum's group on knowledge bases and information retrieval.
• IBM-IITD AI Horizons NetworkcoreStrategic or Co-development Partner · 1 January 2019Neuro-Symbolic Information Systems research collaboration between IBM Research and IIT Delhi. Focuses on combining neural learning with symbolic reasoning for advanced AI applications.
• IBM Research (T.J. Watson)minorStrategic or Co-development Partner · 1 January 2011Prof. Rahul Garg's former affiliation at IBM Research focusing on neuroimaging data analysis and high-performance computing for medical imaging.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• University of Washington Allen School of Computer Science & Engineering: Top-ranked US CS school with strengths in AI/ML, systems, and theory, and deep ties to Microsoft and Amazon. Comparable given several IIT Delhi CSE faculty hold UW PhDs; relevant for faculty-pipeline and research-output comparison.
• Stanford University Computer Science Department: Top-3 globally ranked CS department with deep AI, systems, and theory research, plus extensive industry ties. Directly comparable as a benchmark for faculty quality, publication output, and industry collaboration depth (IIT Delhi already has a Stanford research tie).
• UC Berkeley EECS Department: Top global CS/EECS department known for AI, systems, and architecture research. Comparable to IIT Delhi CSE in research breadth, top-venue publication volume, and industry funding; useful peer for ranking and research-impact benchmarks.
• Carnegie Mellon University School of Computer Science: Globally top-ranked CS school with strength in AI, systems, and theory. Highly comparable in research-area coverage and conference publication footprint; relevant peer for benchmarking publication output and research depth.
• Georgia Tech College of Computing: Top-10 US CS school with strong systems and HPC research, paralleling IIT Delhi CSE's HPC infrastructure and systems/architecture focus. Useful benchmark for research-area coverage and industry partnership scale.
• MIT CSAIL (Computer Science and Artificial Intelligence Laboratory): MIT's flagship CS research lab; directly comparable to IIT Delhi CSE as a top-ranked global CS research department with broad AI/systems/theory coverage, top-tier publications, and industry partnerships. A relevant global benchmark for ranking and research-output comparisons.

Direct peers

• Indian Institute of Technology Bombay — Department of Computer Science and Engineering: IIT Bombay's CSE department is the closest domestic peer to IIT Delhi CSE — same Indian IIT system, similar program mix (B.Tech/M.Tech/PhD), competing for faculty, students, and grants. The most direct competitive benchmark in India.
• Indian Institute of Technology Madras — Department of Computer Science and Engineering: Another premier IIT CSE department and direct domestic peer. Comparable in academic programs, research output, and government-funding model; key competitor for top students and faculty hires in India.
• Indian Institute of Science (IISc) — Department of Computer Science and Automation: IISc Bangalore's CSA is a top Indian CS research department and a direct peer to IIT Delhi CSE for faculty hiring, PhD admissions, and research grants; comparable in theoretical and systems research depth.
• Indian Institute of Technology Kanpur — Department of Computer Science and Engineering: One of the older IIT CSE departments and a direct peer to IIT Delhi CSE within the Indian IIT system. Comparable in program structure, research areas, and government-funding base.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Facebookfacebook.com/cseIITD
• LinkedInlinkedin.com/company/aces-acm-iit-delhi

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about ACES-ACM, IIT Delhi