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ICIIS 2026: International Conference on Industrial and Information Systems

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Submission Date:
2026-07-15
Notification Date:
2026-08-31
Conference Date:
2026-12-18
Location:
ABV-IIITM Gwalior, India
Years:
Viewed: 21563   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

54.0 / 100
Ranked #897 of 5,655 conferences · Top 16%

#45 of 253 in Information Systems & Web

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%)
82
Community attention (10%)
19
Public record completeness (15%)
55

Inputs used: Editions on record: 20 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · 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 2026-09-09

Call For Papers

ICIIS 2026 (International Conference on Industrial and Information Systems) is an academic conference held in ABV-IIITM Gwalior, India on 2026-12-18. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-08-31.

Conference Tracks ICIIS 2026 welcomes submission of papers related to the conference theme including, but not limited to, the following tracks: Track 1: Image, Signal & Artificial Intelligence This track explores advanced paradigms in Image and Signal Processing alongside the latest breakthroughs in Artificial Intelligence and Machine Learning. It specifically highlights critical areas such as Trustworthy & Explainable AI and Pattern Recognition, aiming to bridge theoretical models with practical, real-world applications in computer vision and signal analysis. Track 2: Embedded & Intelligent Systems Focusing on the intersection of hardware and intelligence, this track covers Embedded System Design and the emerging challenges in Ethical IoT & Smart Devices. It also addresses Data Engineering methodologies and the development of robust Intelligent Systems and Expert Systems, emphasizing efficient computing and intelligent decision-making frameworks. Track 3: Communication & Information Technologies This track offers a comprehensive look at the future of connectivity, featuring research on Wireless Communication Technologies and Secure & Trustworthy Communications. It delves into the convergence of IoT, Networks & Cybersecurity, with a special emphasis on designing Green and Sustainable Communication Systems for the next generation of networks. Track 4: Power, Energy & High Voltage Engineering Addressing global energy challenges, this track presents innovations in Smart Grid Technologies and Renewable Energy Systems. Discussions will center on advanced Power Electronics and strategies for Energy-Efficient High Voltage Engineering, aiming to ensure reliable, sustainable, and resilient power infrastructure. Track 5: Control, Robotics & Automation Highlighting the evolution of automation, this track spans the cutting edge of Robotics and Autonomous Systems and Human-Centric Control Systems. It explores how these technologies are driving Automation for Sustainable Industries, fostering greater efficiency, safety, and adaptability in modern industrial environments. Track 6: FPGA, EDA Tools & VLSI Design Dedicated to the backbone of computing hardware, this track features research on FPGA-based System Design and Secure Hardware architectures. It examines the latest advancements in VLSI and EDA tools, alongside techniques for creating Low-power Hardware Architectures essential for energy-constrained applications. Track 7: RF, Microwave & Photonics Antenna and Radar Systems, Microwave and Terahertz Technologies for Imaging, Millimetre-Wave and Terahertz Circuits, Photonic Integrated Circuits & Plasmonic. Track 8: Data-Driven Technologies Data Engineering and Analytics, Data mining, Data optimization and decision making, Behavioral and Sentiment Analysis.
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