DMNH 2026 — 22nd International Workshop on Data Management on New Hardware 2026 | CFP & Deadlines
DMNH (22nd Edition) — 22nd International Workshop on Data Management on New Hardware 2026 — is a peer-reviewed academic conference in Computer Science & AI taking place Jun 1, 2026 at Bengaluru, India, Bengaluru, India. The event brings together researchers, doctoral candidates, faculty members, and industry practitioners to present original work, exchange ideas, and explore emerging trends shaping the field of Computer Science & AI. Organized by Academic Conference Committee. Key topics include Computer Science & AI Foundations & Frontiers, Methods, Architectures & Applied Systems, Empirical Evaluations & Benchmarks. The technical program typically features keynote addresses from leading experts, full paper presentations, interactive poster sessions, and hands-on workshops or tutorials that balance foundational theory with applied, real-world innovation. Delegates can expect structured opportunities for networking, panel discussions, and cross-disciplinary knowledge exchange with peers from universities, research institutes, and industry across the globe. Authors are invited to submit original, unpublished manuscripts for rigorous peer review, with accepted papers published in the official conference proceedings and made available through recognized academic indexing and citation databases. Whether attending as a first-time presenter or an established scholar, participants gain a valuable platform to showcase research contributions, receive constructive feedback from domain experts, and build lasting professional connections within the Computer Science & AI research community.
Bengaluru, IndiaConference Schedule & Location
Dates: to
Host Location: Bengaluru, India (Bengaluru, India)
Official Website: https://damon-db.org/
Indexed Research Tracks & Topics
- Computer Science & AI Foundations & Frontiers
- Methods, Architectures & Applied Systems
- Empirical Evaluations & Benchmarks
- Interdisciplinary & Cross-Domain Applications
Frequently Asked Questions about DMNH 2026
When and where is DMNH 2026?
DMNH 2026 (22nd International Workshop on Data Management on New Hardware 2026) takes place Jun 1, 2026 and is held in Bengaluru, India. Format: In-Person.
How do I submit a paper to DMNH 2026?
Authors can submit manuscripts through the official submission portal at https://damon-db.org/. Review the CFP tracks and formatting guidelines before uploading.
Related Computer Science & AI Conferences & CFP Deadlines
- IMS RFSA — 2029 IEEE MTT-S Radio Frequency Systems and Applications Symposium (IMS RFSA) 📅 2029-06-10 • 📍 Washington, USA
- IMS RFSA — 2027 IEEE MTT-S Radio Frequency Systems and Applications Symposium (IMS RFSA) 📅 2027-05-23 • 📍 San Antonio, USA
- SSCI — 2027 IEEE Symposium Series on Computational Intelligence (SSCI) 📅 2027-02-14 • 📍 Gold Coast, Australia
- IMS RFTT — 2027 IEEE MTT-S Radio Frequency Technology and Techniques Symposium (IMS RFTT) 📅 2027-05-23 • 📍 San Antonio, USA
- IMS RFTT — 2029 IEEE MTT-S Radio Frequency Technology and Techniques Symposium (IMS RFTT) 📅 2029-06-10 • 📍 Washington, USA
Journals Accepting Papers in Computer Science & AI
-
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) • Published by IEEE Computer SocietyImpact Factor: 20.8
-
Nature Machine Intelligence (Nat Mach Intell) • Published by Nature Portfolio (Springer Nature)Impact Factor: 18.8
-
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) • Published by IEEE Computational Intelligence SocietyImpact Factor: 10.4
Academic Publishing Insights & Research Guides
-
📚 The Complete Guide to AoE (Anywhere on Earth) Deadlines in Academic Conferences (2026–2027)
Master Anywhere on Earth (AoE / UTC-12) conference paper submission deadlines. Learn time conversions, avoid submission portal crashes, and manage global CFP cutoffs across all timezones.
-
📚 Top Computer Science & AI Conferences (2026–2027): CORE A* Rankings, Acceptance Rates & Strategies
A comprehensive analysis of CORE A* and A ranked conferences in AI, Machine Learning, Computer Vision, and Systems. Review acceptance rates, publication cycles, and targeting strategies.