Third National Conference on

Computational Intelligence and Data Analytics

CIDA 2024

13 - 14 March 2024

EMS Seminar Complex, University of Calicut

Accepted Papers Presentation Track

About the Conference

Computational intelligence has emerged as a powerful tool for information processing, decision making, and knowledge management and has been successfully developed in areas such as neural networks, fuzzy systems, and evolutionary algorithms. It is apparent that computational intelligence will play an increasingly important role in tackling engineering problems.

Recently, data generation at the scale of terabytes, petabytes and exabytes have become common place in many scientific and commercial domains. Streaming data, social media content, electronic medical records, astronomy surveys, genomic and proteomic studies and similar areas generate data at a scale that is becoming increasingly difficult to manage using traditional database technologies. Big Data is an umbrella term used for such massive collections of data. Besides volume, analytics has to face challenges like heterogeneity, timeliness, and complexity, velocity and privacy issues. The other challenge is to fuse data sources - of same type or multi-modal and perform joint analytics on the integrated data. The scale of such data poses significant challenges for analytics, going beyond what can be supported by conventional data, storage and retrieval models.

The goal of the conference is to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computational Intelligence and Data Analytics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computational Intelligence and Data Analytics.

Talks by industry experts on the state-of-the-art in Computational Intelligence and Data Analytics.

Lectures by eminent scientists designed to inspire and inform.

Presentations by innovative researchers.

Discussion-oriented sessions and networking breaks to enable collaborations.

Target Audience :

PG Students, Research Scholars, Faculty members, Industry Professionals working in the area of Computational Intelligence and Data Analytics.

Submit Paper Download Brochure Register Now Programme Schedule

Opening Session Speakers

Prof. (Dr.) M.K. Jayaraj
Vice Chancellor
University of Calicut
Prof. (Dr.) M Nasser
Pro Vice Chancellor
University of Calicut
Prof.(Dr.) Satheesh E K
Registrar
University of Calicut

Confirmed Speakers

Associate Professor, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Indore.
Topic: Heart rate monitoring using non-contact face videos
 
Associate Professor, Department of Computer Science and Engineering, National Institute of Technology - Calicut
Topic: AI-driven Biomedical Innovation for Early Cancer Detection
 
Delivery Manager, Tata Consultancy Services Ltd., Cochi.
Topic: Responsible AI, in the era of GenAI
 
Associate Professor, Department of Information Technology, Kannur University
Topic: Building Intelligent Systems
 
Senior Statistician, Data & AI IBM India Software Labs, Kochi
Topic: A Deep Dive into Data Science
 
AI Research Scientist SONY Corporation, Banglore
Topic: Hybrid Deep Learning & Preprocessing Techniques for Signal Data
 
Postdoctoral Research Fellow Queen’s University Belfast, UK
Topic: AI Algorithms With Persecutions – An Affective Computing Perspective
 
Associate Professor, & Head Department of Computer Science University of Calicut
Topic: Fostering Responsible AI for Social Good – A computational perspective
 

07 March 2024

Full Paper Deadline

09 March 2024

Acceptance Notification

10 March 2024

Camera ready

11 March 2024

Registration Deadline

13-14 March 2024

Conference Dates
Programme Schedule

Registration

Thrust Areas

AI and Soft computing techniques

Pattern Recognition

Speech and Signal Processing

Digital Image\Video Processing

Digital forensics

Medical Image Processing

Human Computer Interaction

Natural Language Processing

Big Data Technologies

Machine Learning and Data Mining

Deep Learning and Reinforcement Learning

Natural Language Processing and Text Ming

Probabilistic Modeling, Time Series Analysis

Fuzzy Sets, Rough Sets, Genetic Algorithms

Evolutionary Computing

Non-linear Dynamics

Social Media Analytics

Sentiment Analysis and Emotion Mining

Predictive Modeling and Forecasting

Visualization, Virtual reality and Augmented reality

Cryptography and network security

Wireless sensor networks

Bioinformatics

IoT, Cloud, GIS and Block Chain Applications

Mobile Computing, Robotics

Target Audience

The conference welcomes participation and presentation of faculty members, researchers, industrial professionals and students of Computer Science/Engineering/Application, IT, Mathematics and Statistics.

Submit Paper

Original research papers, survey papers, case studies and academic or scholarly articles to extended versions of previously published papers are invited to be presented in the conference. The papers should be organized so as to accommodate abstract, introduction, state-of-the-art, objective, used methodology, obtained results, and references. Submitted papers should be original and contain contributions of theoretical, experimental or application nature, or be unique experience reports. All the accepted papers will be published in the conference proceedings.


Format of Submission

Papers must be submitted within the stipulated time and electronic submission in PDF is required. The page limit for a full-length paper is 6 pages and IEEE format.

IEEE standard paper format is to be followed.
Page size : A4
No. of columns/page: 2 spacing 4.22mm
Title: 24 pt regular
Author : 11pt regular
Abstract : 9pt bold
Section Heading : 10 pt caps
Subheading : 10 pt italic
Paragraph : 10 pt regular
Line spacing : single
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How to Reach

Railway Station Kozhikode Railway Station to University of Calicut: 45 min (20.5 km) via NH17

KSRTC Stand Kozhikode Ksrtc Bus Stand to University of Calicut: 50 min (24 km) Via NH17

Calicut International Airport Calicut International Airport to University of Calicut: 20 min (10.9 km) via Pallikkal Bazar - Airport Road and Kakkanchery-Kottappuram Road

Phone

0494-240 7422/7325

+91-94957 93094

Contact

Dr. Lajish V. L (Conference Chair)
Head, Department of Computer Science
University of Calicut, Kerala-673635, India

Email

cidalab@uoc.ac.in