IC2DM

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About Us

The International Conference on Computational Linguistics, Data Analytics and Machine Learning aim to bring together researchers, academicians and industry persons from different countries to emphasize the dissemination of ongoing research in the fields of Artificial Intelligence, Machine Learning, Deep Learning, NLP and Data Mining. Through this conference, we plan to investigate how immense strides in the above fields are made possible.

This conference will also help to bridge the gap between academic research and industry initiatives. This will be fostered through keynotes and invited talks in this three day conference to be held on 11th-13th November, 2022. The general chair, the convener, along with the entire team invite researchers and industry personnel around the world to take part in the upcoming event to make the event a grand success.

Our Mission

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Our Plan

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Our Vision

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Organized By

About the Department

The Computer Science and Engineering department is one of the oldest departments in Institute of Engineering and Management. The college attracts very bright students because of the department's reputation as well as the excellent placement records. Beyond their excellence in academics, the students show their talents in quizzes, debates, games and many other activities. The students are placed in top companies, top universities across the globe. The department consists of a highly energetic and talented group of faculties. The faculty cadre brings the right mix of academics and industry experience. Between them, the faculties have more than 400+ international publications. They actively take part in organizing various conferences, workshops, seminars etc.

About The Institution

The IEM group is an acclaimed educational group amongst the industry-centred academic training organizations of today. IEM has set sublime standards in addressing the technical and managerial resource shortage in the new era of dynamic globalization. The IEM group has risen to fame for its strong foundation in teaching and R&D in multifaceted areas. It aims to serve the future generation as well as the Nation through its commitment towards self-sufficiency and unmatchable excellence. The IEM Group has opened up the doors for young minds who dare to dream. It encourages the spirit of free enquiry and imagination. In this temple of learning, dreams take shape. The educational group attempts to inculcate the sense of human values and discipline in students to make them respectable human beings. It encourages learners to learn to realize their potential and imbibe the best practices.

Commitee

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Chief Patron
Prof. Dr. Satyajit Chakrabarti, President, IEM, Kolkata
General Chair
Dr. Satyajit Chakrabarti, Director, IEM, Kolkata	Mrs. Banani Chakrabarti, Registrar, IEM, Kolkata, India
Advisor
Padma Shri Dr. Ajay Kumar Ray, Former Vice Chancellor, IIEST, Shibpur, India
Convener
Dr. Indraneel Mukhopadhyay, IEM, Kolkata, India	Dr. Darothi Sarkar, IEM, Kolkata, India
Dr. Anupam Mondal, IEM, Kolkata, India
Advisory Committee
Dr. Hari Mohan Pandey, Edge Hill University United Kingdom	Dr. Sivaji Bandyopadhyay, NIT Silchar, India
Dr. Debashis De, Professor, MAKAUT, India	Dr. Subhranil Som, Bhairav Ganguly College, Kolkata, India
Dr. Arun Kumar Bar, IEM, Kolkata, India	Dr. Debika Bhattacharya, IEM, Kolkata, India
Dr. Mohuya Chakraborty, IEM, Kolkata, India	Ms. Gopa Goswami, IEM, Kolkata, India
To be updated......
Technical Committee
Dr. Mamata Dalui Chakraborty, NIT Durgapur, India	Dr. Pratik Chattopadhyay, IITBHU, India
Dr. Riyanka Manna, NIT Warangal, India	Dr. Chandan Giri, IIEST Shibpur, India
Dr. Prabir Saha, NIT Meghalaya, India	Dr. Partha Pakray, NIT Silchar, India
Dr. Abhijit Sharma, NIT Durgapur, India	Dr. Saptarshi Goswami, CU, India
Dr. Oishila Bandyopadhyay, IIIT Kalyani, India	Dr. Amit Kumar Das, IEM Kolkata, India
Dr. Rana Majumdar, Swami Vivekananda University, India	Dr. Soumadip Ghosh, IEM Kolkata, India
Dr. Amitava Nag, Central Institute of Technology Kakrajhor, India	Dr. Swarup Ray, Sikkim University, India
Dr. Debajyoty Banik, Kalinga Institute of Industrial Technology, India	Dr. Jadav Chandra Das, MAKAUT, India
Dr. Somnath Banerjee, University Milano-Bicocca, Italy	Dr. Jyoti Prakash Singh, NIT Patna, India
Dr. Surajit Kumar Roy, IIEST, Shivpur
Dr. Saurav Mallik, Department of environmental health, Harvard University
Organizing Committee
Prof. Sainik Kumar Mahata, IEM, Kolkata, India	Prof. Monalisa Dey, IEM, Kolkata, India
Prof. Sourav Ghosh, IEM, Kolkata, India	Prof. Bavrabi Ghosh, IEM, Kolkata, India
Organizing Secretary
Dr. Malay Ganguly, IEM, Kolkata, India	Dr. Sanghamitra Poddar, IEM, Kolkata, India
Publication Chair
Dr. Darothi Sarkar, IEM, Kolkata, India	Dr. Anupam Mondal, IEM, Kolkata, India
Registration Committee
Dr. Prithwineel Paul, IEM Kolkata, India	Dr. Tamal Chakraborti, IEM Kolkata, India
Media Management Committee
Prof Arpan Chakraborty, IEM, Kolkata, India
Student Committee
Dhritesh Bhagat, IEM, Kolkata, India	Chaitak Gorai, IEM, Kolkata, India
Souvik Ojha, IEM, Kolkata, India

Important Dates

Submission deadline :

1st July 2022

Notification acceptance :

30th September 2022

Camera ready submission :

25th October 2022

Registration Deadline :

28th October, 2021

Tracks

Artificial Intelligence

Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. Leading AI textbooks define the field as the study of "intelligent agents": any system that perceives its environment and takes actions that maximize its chance of achieving its goals.

Machine Learning

Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.

Computational Intelligence

The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.

Image Processing & NLP

Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence in particular to program computers process and analyze large amounts of natural language data.

Cloud Computing & Big data

Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each location being a data center. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, typically using a "pay-as-you-go" model which can help in reducing capital expenses.

VLSI & Quantum Computing

Very-large-scale integration (VLSI) is the process of creating an integrated circuit (IC) by combining millions of MOS transistors onto a single chip. Quantum computing is a type of computation that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, to perform calculations. The devices that perform quantum computations are known as quantum computers.

Robotics & IoT

The Internet of things (IoT) describes physical objects (or groups of such objects) that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with devices and systems over the Internet. Robotics is an interdisciplinary branch of computer science which involves the design, construction, operation, and use of robots.

Blockchain & Security

A blockchain is a growing list of records, called blocks, that are linked together using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data (generally represented as a Merkle tree). The timestamp proves that the transaction data existed when the block was published in order to get into its hash.

Adhoc & W-Communication

A wireless ad hoc network (WANET) or mobile ad hoc network (MANET) is a decentralized type of wireless network. The network is ad hoc because it does not rely on a pre-existing infrastructure, such as routers in wired networks or access points in wireless networks.