MIDAS-2020 aims to promote and provide a platform for researchers, academia and practitioners to meet and exchange ideas on recent theoretical and applied Machine and ArtificialIntelligence and Data Sciences research. 

The Conference will provide a platform for the computer science, computer engineering, and information technology professionals, scientists, researchers, engineers, educators and students from all over the world to share their scientific contributions, ideas and views. 

The contributors are expected to further the knowhow on state-of-the art research challenges, results, architecture, applications, and other achievements in (but not limited to) the following topics:

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers: Authors are invited to submit original research contributions not concurrently submitted elsewhere. Normal length papers should be between 10 to 12 pages formatted according to Springer’s “Algorithms for Intelligent Systems” style.

List of Topics

Track 1: Machine Learning Algorithms

• Computational Intelligence
• Cognitive Intelligence
• Ambient Intelligence
• Deep Learning
• Intelligent Systems

Track 2: DataAnalyticsandOptimization

• Data Pre-Processing
• Big Data Analytics
• Soft Computing
• Evolutionary Computing
• Nature Inspired Computing
• Predictive Analysis

Track 3:MachineIntelligenceApplications 

• Image Processing
• Natural Language Processing
• Computer Vision
• Sentiment Analysis
• Search Engine Optimization
• Speech and Gesture Analysis
• Augmented/Virtual Reality

Track 4: MachineIntelligence in Interdisciplinary Areas

• AI in Legal
• AI in Healthcare and Medicine
• Smart Society
• Smart Farming
• IoT
• Cyber Physical System
• Robotics

Other Topics:

• Deep Learning for Data Intelligence
• AI for Business data analytics
• Performance Tuning and optimization for Big Data Using AI.
• Data Science Visualization using AI
• Optimization for machine Learning and Data mining in Big Data
• AI in securing Data
• Data Science for Industry 4.
• Data Science and AI in e-Government and Society
• Big Data Fusion using AI
• AI for Big Social Data Analysis
• Artificial Intelligence for knowledge management and big data, data analytics
• AI for Data Stream Mining
• AI for massive scale data science
• AI in Data informatics
• IoT sensor Data Analysis and Fusion
• Big Special Data Analytics
• Cost Modeling using AI
• Case studies of use of data science and AI applications in engineering, healthcare, business
• AI applications and Innovations
• Research trends, challenges, and the future of #AI in DataScience.

Committees

Program Committee

• Dr. Tanupriya Choudhury, SCS, UPES, Dehradun
• Mr. Amitava Choudhury, SCS, UPES, Dehradun
• Mr. Ravi Tomar, SCS, UPES, Dehradun

Invited Speakers

• Prof. Padmashri Ajay Ray
• Prof. Ahmed Elngar
• Prof. G.P. Li
• Prof. Simeon Simoff
• Prof. Subarna Shakya

Publication

MIDAS 2020 proceedings will be published in Springer Algorithms for Intelligent Systems” (https://www.springer.com/series/16171).

Venue

The conference will be held in University of Petroleum and Energy Studies, Dehradun

Contact

All questions about submissions should be emailed to  icmidas2020@gmail.com