Conference Information

KALINGACONF 2027: Kalinga Conference on Communication & Computing

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Submission Date:
2027-01-05 Due in 87 days
Notification Date:
2027-03-10
Conference Date:
2027-06-01
Location:
Naya Raipur, India
Years:
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KALINGACONF
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Conference Partner Index (CP-I)

40.5 / 100
Ranked #4,984 of 5,694 conferences · Top 88%

#761 of 865 in Networks & Communications

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%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 3

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 2026-10-09

Call For Papers

KALINGACONF 2027 (Kalinga Conference on Communication & Computing) is an academic conference held in Naya Raipur, India on 2027-06-01. The paper submission deadline is 2027-01-05. Acceptance notifications are sent on 2027-03-10.

The KALINGACONF 2026 Conference invited call for the Artificial Intelligence, Machine Learning, Blockchain, Data Science and Deep learning Track 1: Artificial Intelligence, Machine Learning, Blockchain, and Cybersecurity • AI in Healthcare and Telemedicine • Machine Learning for Smart Cities • AI Applications in Agriculture and Food Security • Ethical AI and Responsible Use • AI for Disaster Management and Mitigation • Blockchain in Financial Services and FinTech • Cybersecurity for Critical Infrastructure Blockchain for Supply Chain Management • Digital Identity and Secure Authentication Track 2: Data Science and Digital Transformation • Data-Driven Decision Making in Public Policy • Big Data in Healthcare and Genomics • Predictive Analytics for Environmental Sustainability • Data Privacy and Ethics in Big Data • Digital Transformation in Education and E-Learning • IT Solutions for Efficient Healthcare Management • Cloud Computing and Virtualization in Business Track 3: AI&ML on Deep Learning & Neural Networks Advances in Neural Network Architectures Natural Language Processing (NLP) and Language Models Computer Vision and Image Understanding Generative Models and Creativity Optimization, Training Techniques & Efficiency Deep Learning Applications in Industry Deep Learning on Edge and Mobile Devices Explainable and Responsible Deep Learning Self-Supervised, Unsupervised, and Reinforcement Learning Security and Robustness in Deep Learning Note: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support. The scope of the conference are based on the following topics but not limited to : Big Data Analytics Networks, IoT and Cyber Security Cluster, Cloud, & Grid Computing Data Mining, Neural Networks and Deep Learning Communication and Networking Image / Video / Multimedia Signal Processing Pattern Recognition and Object Tracking Antennas, Propagation and Computational EM RF/Millimeter-wave Circuits and Systems Analog and mixed signal ICs MEMS and semiconductor sensors Power Electronics
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