Conference Information

ICNDEMAC 2027: IEEE International Conference on Nano-Devices, Emerging Materials for Advanced Computing

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Submission Date:
2026-08-30
Notification Date:
2026-11-30
Conference Date:
2027-02-26
Location:
Nandyal, Andhra Pradesh, India
Years:
1
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ICNDEMAC
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Conference Partner Index (CP-I)

37.0 / 100
Ranked #5,598 of 5,697 conferences · Top 99%

#258 of 260 in Materials, Mechanical & Manufacturing

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
5
Public record completeness (15%)
35

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 1

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-12

Call For Papers

ICNDEMAC 2027 (IEEE International Conference on Nano-Devices, Emerging Materials for Advanced Computing) is an academic conference held in Nandyal, Andhra Pradesh, India on 2027-02-26. The paper submission deadline is 2026-08-30. Acceptance notifications are sent on 2026-11-30.

Session themes: Track 1: Nano-Materials for advanced Devices Nano-Electronic & Nano-Photonic Devices Nano-Materials for Biomedical Devices Sensors and Energy Devices Transition metal dichalcogenides (TMDs) for electronics and optoelectronics Memristors and nano-scale memory devices Track 2: Nano-Electronics Nano-transistors (FinFETs, GAAFETs, TFETs, CNT-FETs) Nano-MEMS/NEMS device Quantum dots Single-electron transistors MRAM and spin-transfer torque devices Track 3: Communication Networks 5G, 6G, and beyond mobile networks Optical & High-Speed Networks Internet of Things (IoT) and Industrial IoT (IIoT) Track 4: Signal and Image Processing with AI Adaptive and intelligent filtering techniques Deep learning for audio, speech, and biomedical signals Wearable device data processing Signal and image processing on FPGA, GPU, and IoT device Low-power AI inference for edge devices
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