CFP: International Conference on Machine Learning, Image Processing, Network Security and Data Sciences at NIT Hamirpur [Dec 21-22]: Submit by Sep 15

Submissions are invited for 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2023) at NIT Hamirpur. The last date of submission is Sep 15, 2023.

About NIT Hamirpur

National Institute of Technology Hamirpur is a public technical university located in Hamirpur, Himachal Pradesh, India. It was declared to be an Institute of National Importance by the Government of India under the Institutes of Technology Act. The institute was established in 1984 as a Regional Engineering College.

Conference Overview

The Department of Computer Science and Engineering, National Institute of Technology, Hamirpur is excited to announce its upcoming 5th International Conference on Machine Learning, Image Processing, Network Security, and Data Sciences (MIND 2023) on 21st and 22nd of December 2023 at National Institute of Technology, Hamirpur, India.

This event will bring together researchers, experts, and practitioners from different fields to share their knowledge, insights, and experiences on the latest advancements and innovations in these domains. The conference aims to provide a platform for interdisciplinary collaborations and foster a vibrant community of researchers and practitioners in these areas. It will feature keynote speakers, technical sessions, and panel discussions, covering a broad range of topics related to machine learning, image processing, network security, and data sciences.

Venue

Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh,177005, India.

Tracks

• Machine Learning and Computational Intelligence
  • Theoretical Computer Science
  • Artificial Intelligence
  • Pattern recognition
  • Computer Graphics
  • Virtual Reality
  • Distributed & Cloud Computing
  • Signal Processing
  • Software Architecture
  • Soft Computing
  • Grid and Cluster Computing
  • Evolutionary Algorithms
  • Ubiquitous Computing
  • Parallel and Distributed Networks
  • Perceptual Computing, and related topics
  • Learning using Ensemble and boosting strategies
  • Active Machine Learning
  • Manifold Learning
  • Fuzzy Learning
  • Kernel Based Learning
  • Genetic Learning
• Image Processing and Computer Vision
  • Watermarking Methods and Protection
  • Wavelet Methods
  • Image Data Structures and Databases
  • Multi-resolution Imaging Techniques
  • Multimedia Systems and Applications
  • Novel Image Processing Applications
  • Camera Networks and Vision
  • Cognitive and Biologically Inspired vision
  • Active and Robot Vision
  • Fuzzy and Neural Techniques in Vision
  • Medical Image and Video Analysis
  • Color and Multispectral Processing
  • Computational Imaging
  • Video Processing and Analytics
  • Visual Quality Assessment
  • Deep learning for Images and Video
  • Human activity recognition
  • Software Tools for Imaging
  • 3D Imaging
• Data Sciences and Big Data
  • Big data management
  • Platforms and technologies for big data Data retrieval
  • Big data storage techniques
  • Data mining and warehouse
  • Data visualization
  • Modelling structure and storage of big data
  • Scalability and portability issues of big data
  • Big data recommender systems
  • Digital Forensics
  • Parallel processing of big data
  • Distributed access of big data
  • Applications of big data and related topics
  • Web mining
  • Social Network Analysis
  • Text Mining
  • Sentiment Analysis
  • Algorithms
  • Novel Theoretical Models
  • Novel Computational Models
  • Data and Information Quality
  • Data Integration and Fusion
• Network and Cyber Security
  • Network Performance Analysis
  • Human factors in security and privacy
  • Security and privacy in ad hoc networks
  • Security and privacy in e-services
  • Security and privacy in grid computing
  • Security and privacy in mobile systems
  • Cyber risk and vulnerability assessment
  • Cyber-crime and warfare
  • Insider threat detection and prevention
  • Critical infrastructure protection
  • Intrusion detection and prevention
  • Botnet detection and mitigation
  • Visual analytics for cyber security
  • Security and privacy in social network
  • Machine learning for Biometric security and privacy
  • Security and privacy in pervasive computing
  • Security and privacy in wireless sensor networks

Submission Guideline

• Prospective authors are invited to submit full-length original research papers. While submitting a manuscript to MIND 2023, the authors acknowledge that no paper substantially similar in content has been or will be submitted to another journal, conference or workshop during the review period. In such a case the paper will be rejected without review. Papers must be electronically submitted before the deadline expires without exception.
• The paper must not exceed 12 pages in length (including all text, figures, and references). The manuscript must be submitted in pdf format only and the file size of the manuscript should not exceed 10 MB.
• MIND 2023 follows a single-blind review process. Hence, the authors must NOT remove the names and affiliations of authors from the paper.
• Use a proper tool to convert the resulting source into a pdf document that has only scalable fonts with all fonts embedded.
• The images embedded in the paper must not contain transparent pixels (i.e., an alpha-channel of a transparent color) since this could lead to problems when displaying or printing the pdf.
• The pdf manuscript must not have Adobe Document Protection or Document Security enabled.
• Authors must use the manuscript template specified here. The LaTeX and Word templates can be downloaded from the following links:
  • Word template
  • LaTeX template

Registration Fees

Important Dates

• Paper Submission Starts: 15 Jun 2023
• Paper Submission Deadline: 15 Sep 2023
• Notification of Acceptance: 30 Oct 2023
• Camera Ready Submission: 10 Nov 2023
• Conference Dates: 21-22 Dec 2023

How to Submit?

Interested candidates can submit their paper via this link.

Contact

E-mail: mind2023[at]nith[dot]ac[dot]in