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MLSC-ES 2024: All India Seminar on Machine Learning and Soft Computing Applications in Engineering and Science
IEI Durgapur Local Centre, Nehru Avenue, B-Zone, Durgapur
Durgapur, India, April 6-7, 2024
Conference websitehttp://www.ieidurgapurlc.org/index.php/events/all-india-seminar-on-machine-learning-and-soft-computing-applications-in-engineering-and-science-mlsc-es/
Submission linkhttps://easychair.org/conferences/?conf=mlsces2024
Posterdownload
Abstract registration deadlineMarch 20, 2024
Submission deadlineMarch 20, 2024
Acceptance NotificationMarch 25, 2024
Full Paper Submission DeadlineMarch 30, 2024
Topics: machine learning soft computing engineering science

Machine learning is a branch of artificial intelligence focused on developing algorithms that enable computers to learn from data and improve their performance over time. It encompasses supervised learning, unsupervised learning, and reinforcement learning, with applications ranging from engineering and science to social sciences. In contrast, soft computing is a field that draws inspiration from human-like cognitive processes to address problems involving uncertainty, imprecision, and approximation. Soft computing includes techniques such as fuzzy logic, neural networks, evolutionary computing, and probabilistic reasoning. These approaches are particularly valuable in scenarios where traditional rule-based methods struggle, allowing for effective problem-solving in complex, real-world situations. Together, machine learning and soft computing contribute to the advancement of intelligent systems capable of adapting and making informed decisions in dynamic environments.

The primary aim of organizing an all India Seminar on Machine Learning and Soft Computing Applications in Engineering and Science is to foster a collaborative platform that brings together researchers, practitioners, and experts from diverse fields to share their latest advancements, insights, and experiences in the realm of machine learning and soft computing. The seminar aims to facilitate the exchange of cutting-edge knowledge and methodologies, providing a forum for discussing innovative applications and solutions in engineering and science. By bringing together professionals from academia, industry, and research institutions, the conference seeks to promote interdisciplinary collaboration, inspiring new ideas and approaches that can address complex challenges in these domains. Furthermore, the seminar aims to contribute to the dissemination of research findings, promote networking among participants, and ultimately accelerate the adoption and integration of machine learning and soft computing techniques into practical applications, thereby fostering advancements that have a tangible impact on engineering and scientific endeavors.

The objective of this seminar is to provide a vibrant platform for students, researchers, academicians and technologists to present and share their novel ideas and works in relevant areas in engineering and science. Contributions welcome on the topics of interest include but are not limited to

Machine learning and soft computing in:

  • Computer Science and Engineering
  • Electrical and Electronics Engineering
  • Chemical Engineering
  • Material Science
  • Biotechnology and Biomedical Engineering
  • Mechanical Engineering
  • Civil Engineering
  • Earth and Environmental Engineering
  • Information Technology and Management
  • Food Technology
  • Medical Science and Technology
  • General Science

Submission Guidelines

Based on original contributions leads to innovations, plans for development, observations, findings, critical surveys, and case studies, which are invited for discussion in the National Seminar. Authors intending to submit a manuscript for the All India Seminar on ‘Machine Learning and Soft Computing Applications in Engineering and Science (MLSC-ES)’ are advised to adhere to the guidelines as mentioned below.

  • The synopsis/abstract of the Paper within 500 words with a maximum of five keywords has to be submitted first and after acceptance of the same, the full text of the Paper has to be submitted.
  • Domain experts will review Synopsis and the decision will be communicated to those authors whose synopsis is accepted.
  • Full camera-ready paper should be prepared in line with the follows.
  • Papers should be camera-ready in MS-Word format, not exceeding 3000 words in length excluding figures, tables, references and appendices.
  • The language of the Publication is English. The mode of presentation should be in third person.
  • The Template for preparation of article and the Declaration Form, (to be submitted by the authors duly filled in and signed for copyright purpose) is available with the link https://www.ieindia.org/webui/IEI-Activities.aspx#Call_Papers
  • SI units should be used wherever possible. Other units, if used, should be given only in parentheses preceded by SI units.
  • Mathematical symbols should be typed and care should be taken to differentiate between similar characters (e.g. 1 and I), upper and lower case letters and superscripts and subscripts.
  • Lengthy mathematical proofs and derivations and extensive test data are discouraged. If absolutely essential, they should be given as appendices.

The authors are requested to submit the synopsis/abstract through the Easy Chair platform (https://easychair.org/conferences/?conf=mlsces2024) on and before 15/03/2024. Any query related to the submission or Conference can be written to Convener: Dr. Dakshina Ranjan Kisku, FIE (E-mail: drkisku.cse@nitdgp.ac.in)

For more details and updates, please visit the conference page: (https://easychair.org/cfp/MLSC_ES2024)

The proceedings will publish all the abstracts accepted for presentation at the seminar. High quality papers from accepted list will be recommended for submission to SCOPUS/ESCI/SCI/DOAJ indexed journals. Authors of accepted list can directly submit their Full Camera Ready papers to the recommended journals for publication once the conference is over. 

List of Topics

Machine learning and soft computing in:

  • Computer Science and Engineering
  • Electrical and Electronics Engineering
  • Chemical Engineering
  • Material Science
  • Biotechnology and Biomedical Engineering
  • Mechanical Engineering
  • Civil Engineering
  • Earth and Environmental Engineering
  • Information Technology and Management
  • Food Technology
  • Medical Science and Technology
  • General Science

Committees

NATIONAL ADVISORY COMMITTEE

Chairman:

Dr. G. Ranganath, FIE, President, IEI

Co-Chairman:

Dr. Amit Kumar Das, Chairman, FIE, CPDB, IEI

Members:

Prof (Dr.) Chandrashekara S. N. FIE, Member, IEI

Prof (Dr.) Deepu R. FIE, Member, IEI

Dr. Labh Singh Bhari FIE, Member, IEI

Prof (Dr.) Ravimaran S. FIE, Member, IEI

Prof (Dr.) Sanjay Kumar FIE, Member, IEI

Dr. Thangaraj K. FIE, Member, IEI

Prof. Phalguni Gupta, GLA University

Prof. Jamuna Kanta Sing, Jadavpur University

Prof. Arnab Bhattacharyya, IIT Kanpur

Prof. Kartik Chandra Ghanta, NIT Durgapur

Prof. Niladri Chatterjee, IIT Delhi

Prof. Pabitra Mitra, IIT Kharagpur

Prof. Amitava Chatterjee, Jadavpur University

Prof. Rajesh M. Hegde, IIT Kanpur

Prof. Tanmay De, NIT Durgapur

ORGANIZING COMMITTEE

Org. Chairman: Prof. (Dr.) Chandan Koner, FIE, Chairman, IEI, Durgapur Local Centre

Org. Secretary: Dr. Bimal Das, MIE, Hony. Secretary, IEI, Durgapur Local Centre

Convener: Dr. Dakshina Ranjan Kisku, FIE, Executive Committee Member, Computer Engg. Division, IEI, Durgapur Local Centre

Members:

Dr. Tushar Kanti Bera, FIE

Mr. Safikul Islam, FIE

Dr. Rajib Ghosh Chaudhuri, AMIE

Mr. Debi Prasad Das, MIE

Mr. Koushik Chatterjee, AMIE

Dr. Subrata Kumar Mandal, AMIE

Mr. Uttam Kumar Biswas, AMIE

Mr. Sudipta Sikdar, AMIE

Mr. Nozrul Hussain Mozumder, FIE

Mr. Manik Nath Bandyopadhyay, FIE

Mr. Parasuram Shaw, FIE

Mr. Debashis Guha, FIE

Dr. Arup Kumar Mandal, MIE

Mr. Manas Majumder, FIE

TECHNICAL COMMITTEE

Chairman: Prof. Monish Chatterjee, Asansol Engineering College

Members:

Dr. Kamlesh Tiwari, BITS Pilani

Dr. Aditya Nigam, IIT Mandi

Prof. Nibaran Das, Jadavpur University

Dr. D. N. Ray, CSIR-CMERI Durgapur

Dr. Nanda Dulal Jana, NIT Durgapur

Dr. Parag Kumar Guhathakurta, NIT Durgapur

Prof. Ashwani Kush, Kurukshetra University

Dr. Sandesh Gupta, Chhatrapati Shahu Ji Maharaj University

Er. Anand Kumar, SAIL-DSP

Er. Rakesh Ojha, SAIL-DSP

Dr. Supriya Bera, NIT Durgapur

Dr. Abhijit Sanyal, Novartis Healthcare Pvt. Ltd.

Dr. Sujit Kumar Mandal, NIT Durgapur

Dr. Debasish Sarkar, Asansol Engineering College

Dr. Mamata Dalui, NIT Durgapur

Dr. Sujan Kumar Saha, NIT Durgapur

Dr. Sandip Halder, Asansol Engineering College

Contact

durgapurlc@ieindia.org / drkisku.cse@nitdgp.ac.in

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