International Conference on Machine Learning and Human Computer Interaction (MLHCI 2023), 27-28 April, 2023
Faculty of Computer Science & Applications, DAV University, Jalandhar, Punjab (India)
About the Conference
International Conference on Machine Learning and Human Computer Interaction (MLHCI 2023), a Two Days International Level Conference on Machine Learning and Human Computer Interaction, invites the original and quality contributions from researchers, academicians, and practitioners. The conference will be conducted during 27-28 April 2023. The conference is open to academicians, research scholars, corporate executives, and students from the fields of Computer science applications. The conference will be organized in a hybrid mode (offline conference with an option to present a paper online).
The Conference Aims and Objectives
MLHCI 2022 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of Machine Learning and Human Computer Interaction.
Machine learning is a subfield of artificial intelligence (AI). The main objective of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people. Machine learning is a continuously developing field. Because of this, there are some considerations to keep in mind as you work with machine learning methodologies, or analyze the impact of machine learning processes. The objective of this conference is to analyze the implications and challenges faced during the implementation of machine learning in different domains.
HCI is a field in need of significant innovation and breakthroughs towards radically new future forms of interaction Moreover, the conference will also emphasis on the challenges and innovative topics in Human-Computer Interaction theory, methodology and practice, including, for example, novel theoretical approaches to interaction, novel user interface concepts and technologies, novel interaction devices, UI development methods, environments and tools, multimodal user interfaces, emotions in HCI, aesthetic issues, HCI and children, evaluation methods and tools, and many others..
About the Organizers
DAV University (DAVU) at Jalandhar traces its roots to the legacy that has been reforming and redefining India's educational scenario for 135 years. The University is the culmination of the movement that started with the founding of the first DAV institute to propagate the ideals of the religious and social reformer Swami Dayanand Saraswati. DAV University is a multi-disciplinary institution, home to faculties of Engineering, Languages, Commerce, Business Management & Economics, Sciences, Agricultural Sciences, Laws, Journalism, Education, and Physical Education. The University encourages interdisciplinary studies and believes that all areas of study can inform and enrich each other. Since DAV University aims for academic excellence, its curriculum conforms to that of the world's very best universities. This institution is set to become a global hub in education, research, and placement of the students.
Committee
Chief Patron
Sh. Punam Suri, Chancellor, DAV University Jalandhar (Padma Shri Awardee)
Patron
Dr. Manoj Kumar, Vice Chancellor, DAV University Jalandhar
Technical Program Committee
Dr. Chidchanok Choksuchat Faculty of Science, Prince of Songkla University (Hat Yai Campus), Thailand.
Dr. Kusum Yadav, Salman Bin Abdulaziz University, Saudi Arabia.
Dr. Olarik Surinta Faculty of Informatics, Mahasarakham University, Thailand.
Dr. Valetina Balas Aurel Vlaicu University of Arad, ROMANIA.
Dr. Bharat K Bhargava, Purdue University, USA.
Dr. Ajit Abrahim, Director, MIRLAB, USA.
Dr Ajay Kumar, Director, NIT Delhi.
Dr. Lalit Kumar Awasthi, NIT Uttrakhand.
Dr. Gurvinder Singh, Guru Nanak Dev University, Amritsar.
Dr. R. K. Singla, Punjab University, Chandigarh.
Dr. Vishal Goyal, Punjabi University, Patiala.
Dr. Satish Kumar, Punjab University, Chandigarh.
Dr. A L Sangal, NIT, Jalandhar, Punjab.
Dr. Harsh Kumar Verma, NIT, Jalandhar, Punjab.
Dr. Arpan Kumar, IIT, New Delhi.
Dr. Aditya Khamparia, Babasaheb Bhimrao Ambedkar University, Lucknow, UP.
Dr. Dileep IIT, Mandi.
Dr. Prerna Gaur, NSUT, Dwarka, New Delhi, India.
Dr. Manoj Gaur, NSUT, Dwarka, New Delhi, India.
Dr. Sonal, Punjab University, Chandigarh.
Dr. H S Guruprasad, BMS College of Engineering, Bangalore, Karnataka, India.
Dr. Gurpreet Josan, Punjabi University, Patiala.
Dr. Geeta Sikka, NIT, Jalandhar, Pujab.
Dr. Sonka Jain, NIT, Kurukshetra.
Dr. Kuljit Kaur, Guru Nanak Dev University, Amritsar.
Dr. Raman Kumar, IKG Punjab Technical University, Kapurthala.
Dr. Manu Sood , Himachal Pradesh University, Shimla.
Dr. Mamta Mittal, Delhi Skill and Entrepreneurship University, New Delhi.
Dr. R. Sridaran, Marwadi University, Gujrat.
Dr. Prableen Kaur, AIMT, Ambala.
Dr. Parminder Singh, GNE Ludhiana.
Dr. Dinesh Kumar, DAVIET Jalandhar.
Dr. Rachhpal Singh, Khalsa College Amritsar.
Dr. Pardeep Arora, KMV College, Jalandhar.
Dr Pankaj Bhambri, GNE Ludhiana.
Dr Manu Raj Moudgill, Bhai Gursas Group of Institution, Sangrur.
Dr Makhan Singh, Punjab University, Chandigarh.
Dr Navjot Kaur, UCOE, Punjabi University Pataiala.
Call for Papers
Prospective authors are invited to contribute to and help shape the conference through submissions of their research papers. High-quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, qualitative or theoretical work in all areas of machine learning and computer science are cordially invited for presentation at the conference. The conference solicits contributions of extended abstracts and papers that address the theme of the conference, related to one or more of the following tracks:
Track - 1 Machine Learning Algorithms
Machine Learning System Design
Machine Learning Optimization
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Statistical Learning
Transfer learning
Extreme Learning Machines
Kernel Based Learning
Bayesian Learning
Instruction Based Learning
Adversarial Machine Learning
Track - 2 Deep and Transfer Learning
Deep Neural Networks Optimization Algorithms
Deep Feedforward Networks
Deep Convolutional Neural Networks
Deep Recurrent Neural Networks
Sequence Modelling
Deep Generative Models
Generative Adversarial Networks
Inference Dependencies on Multi-Layered Networks
Tensors for Deep Learning
Transfer Learning
Track - 3 Applications of Machine Learning
Healthcare
Agriculture
Biomedical informatics
Computational Biology
Transportation
Disaster Management
Text Processing
Track – 4 Human Computer Interaction
HCI Theories and Methods
Design Process Management
UX (User Experience)
DX and New Business Model
Design Thinking
Heuristics and Guidelines for Design
Agent System and Intelligent Speaker
Artificial Intelligence and IoT
Robots, Avatars and Virtual Human
Computer vision
Natural Language Processing
Climate Science
Track - 5 Human-Environment Interactions
VR, AR, MR, XR and Metaverse
Gesture and Eye-gaze Based Interaction
Audio-visual Artificial Environment
Computer Graphics and Virtual Trip
Large System User Interface
Mobile HCI and Automobiles
Natural User Interface
Brain Machine Interface
Track - 6 Learning and Creativity
Creativity and Imagination
e-Learning and Distant Learning
Game Design and Game Mapping
Game and Communication
Gamification
Media Design
Guidelines for Authors
You are invited to submit your extended abstract for evaluation by the Expert Committee and if the abstract is accepted, you must submit a full-text paper as per the timeline and the guidelines. The full paper will be requested for subsequent publication opportunities. Otherwise, your abstract only will be published in the Proceedings. Upon payment of the registration fee, your presentation will be confirmed. Please ensure your submission meets the following conference guidelines for accepting scholarly papers:
  1. Ensure that the title of the paper is clear and long enough to identify the topic and argument of the study.
  2. Ensure that your paper is free of plagiarism.
  3. All references mentioned in the text should be cited in the references should be cited in the body text for the submitted paper.
  4. You must cite the most relevant and the recently published research works in the reference section to support your work.
  5. Use IEEE Style for citing the references in the paper.
  6. All tables and figures shown in the paper must be numbered, captioned, and referenced.
  7. The Extended Abstract (about 2500 words) should include an introductory statement that outlines the background and significance of the study, methodology, the major findings of the study, and discussion. The abstract must include 3-4 keywords or phrases to identify the focus of the paper.
  8. The full paper (Maximum 8000 words) must be submitted as per the timeline, if your abstract is accepted for the conference presentation.
  9. Please proofread your abstract/paper, before submission, for any grammatical mistakes, typos, spelling mistakes and missing punctuation. You can use online free options (e.g. https://app.grammarly.com/) for the same.
  10. The affiliation section should appear at the bottom of the first page on the left and must include the authors’ email, affiliation, and contact details. Please also specify the corresponding author.
  11. The submitting author is responsible for obtaining agreement of all coauthors and any consent required from sponsors before submitting a paper.
How to Submit
Conference website
Call for papers registration deadline February 28, 2023
Date of Notification: March 6, 2023
Conference Proceedings
The peer-reviewed conference proceedings will include the extended abstracts of all the papers submitted and presented at the conference. A limited number of full length papers, selected on the basis of blind peer review, will be published in an ISBN Book / ISSN Journal, after the consent and signing of the copyright form by the author/s of the selected papers. Details of the journal will be shared with the selected authors, for their consent.
High quality papers will be considered for prospective publication in the Special issue. The manuscript will be undergo the complete review process of the journal and only. The acceptance and rejection of the manuscript will be based on the review process of the journal.
Special Issue "Machine Learning and Human Computer Interaction MLHCI" (SCIE Indexed Journal, IF: 2.690). The open access charges of the journal will be paid by the author directly to the journal.
Registration
We encourage participants to attend the conference in offline in-person mode. However, you have the option to present in online mode, if it is not feasible for you to attend at the campus.
At least one of the co-authors must register for the inclusion of the paper in the conference. An author will be permitted to present not more than two papers.
Registration Fees
Delegate Indian (Rs.) Foreign ( USD )
Online Offline Online Offline
Research Scholars / Students 2500 3000 USD 85 USD 85
Faculty / Industry Delegate 3000 4000 USD 100 USD 100
Note:
  1. Only registered author/delegate will be issued the certificate of presentation/participation.
  2. In online mode, the author(s) can present paper from their places without coming to DAVU.
  3. In offline mode, the author/s have to come to DAVU for presentation/attending the conference.
  4. Additional 20% will be charged for on the spot registration.
  5. Publication charges in the special issue associated with the conference, if any, to be paid extra by the authors.
The registration fee should be paid through NEFT / IMPS / UPI as per the following details:
Bank A/C Name: Registrar, DAV University Jalandhar
Name of the Bank: STATE BANK OF INDIA
Account Number: 32960453224
Branch Name: KISHANGARH, JALANDHAR
IFSC Code: SBIN0002395
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