AIMS & SCOPE

Artificial Intelligence & Knowledge Processing is playing a vital role in changing most of the sectors’ processes and landscape. AI has an enormous impact on various automation industries and their functioning converting traditional industries to AI-based factories. New algorithms are changing the way business processes and results are analyzed and predicted. Knowledge processing is the act of comprehending and then representing human knowledge in data structures; semantic models, which are conceptual diagrams of data as they relate to the real world; and heuristics, which are principles that lead to answers to every AI challenge. The way how a human think, knowledge processing transforms the data into knowledge and makes the machine think like a human and makes better decisions. This makes the humans work simple, but it has some ethical concerns that need to be sorted out. This AI and knowledge processing conference addresses the drawbacks and challenges in current practices in various sectors. The research area includes Artificial Intelligence, Deep Learning, Machine Learning, Decision Support Systems, Knowledge representation, semantics, Parallel Computing, Bigdata analytics, Intelligent systems, high-performance computing, fuzzy-based neural networks and other fields.

Publication

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be submitted to Web of Science, EI Compendex (EI), Scopus for indexing.
Based on the theme and quality, selected papers will be published in Human-Centric Intelligent Systems. https://www.springer.com/journal/44230

Best Paper Award

HCIN Best Paper Award will be awarded to the best paper published on HCIN. The best paper will be selected based on the technical quality and the review process of the initial full paper. The Award consists of a Certificate and one prize of 300 euros to the author of the Best paper.

Keynote Speakers

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Prof. Zita Zoltay Paprika

Former Dean, Head of Decision Science, Corvinus Business School,

Budapest, Hungary & EFMD Programme Accreditation Board Member

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Dr. Guandong Xu

Professor,

School of Computer Science

University of Technology Sydney, Australia

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Dr. Manjeet Rege

Chair, Department of Software and Data Science & Professor

Department of Software and Data Science, University of St. Thomas, MN, USA

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Dr. Kok-Leong Ong

Head of Department,

Systems & Business Analytics RMIT University, Australia

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Ms.Swati Mohan

India JMT, NatWest Group

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Dr.Sivarama Krishnan Rajaraman,

Ph.D, Research Scientist,

National Library of Medicine (NLM), National Institutes of Health (NIH), USA

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Dr. Ganesaraman K

Vice President & Head

Global Internal Audit [24]7.ai , India

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Mr. Jayachandran K R

Senior Vice President

AI Labs Course5i Private Limited

Topic’s

Topics of interest include (but are not limited to):



Theme-I Artificial Intelligence & Knowledge Processing

  • AI-Concepts
  • Basics of machine learning for data analytics
  • Data insights by utilizing Data visualization and exploration
  • Statistical concepts for predictive modelling
  • AI for IoT Applications
  • AI in Big Data Analytics
  • AI in Robotics
  • AI in Marketing & Operations
  • AI in Finance
  • Q Learning Algorithms for transfer learning
  • Sentiment Analysis in customer services
  • Data mining in Marketing

Theme-II Machine Learning

  • Machine learning models and algorithms for big data classification
  • Machine learning models for regression and classification
  • Ensemble models for future predictions
  • Dimensionality Reduction
  • ANN model for analytics
  • Recommendation Systems for customers
  • Expert Systems for better decision making
  • Decision Based Systems for various sectors
  • Machine learning in the analytic background
  • Computer vision for automatic vehicles

Theme-III Deep Learning

  • Deep Learning adoption challenges facing in building autonomous systems
  • Real impacts of machine learning in business
  • Real time analysis of machine learning models for business analyticss
  • Case Studies

Theme IV Intelligent Systems & Computing

  • Soft Computing
  • Fuzzy Logic
  • Cloud Computing
  • Secure computing in IoT
  • Intelligent E-Learning Systems
  • Smart Computing
  • Big Data Analysis
  • Networks and cybersecurity
  • Smart Parallel and Distributed Algorithms
  • Smart Mobile communications and networks
  • Cyber-physical System Platforms
  • Information Security
  • Grid Computing
  • Smart cities
  • Data mining and Clustering
  • Genetic Programming
  • Control Systems and networks
  • Robotic Simulated Annealing
  • Robotics and Automation
  • AR / VR

INSTRUCTIONS FOR THE AUTHORS

  • Papers must be submitted online using the Editorial Manager (EM) – EASYCHAIR system, which is a completely web-based submission, peer-review, and tracking system.
  • All submissions must be in English and include a brief abstract. It will be evaluated by independent experts (at least three) in the Blind peer review process.
  • All pages must be numbered in the same order. Tables and figures can be included within the text or placed on other pages with appropriate captions (s).
  • The title of the paper, the author's name(s), and entire institutional affiliation(s) should all be mentioned on the first page of the manuscript. There should also be an abbreviated title (for running heads).
  • A list of 4—6 keywords should be provided immediately after the abstract. These keywords should be relatively independent (coordinate index terms) and should best describe the paper as a whole.
  • Footnotes should be numbered alphabetically and inserted at the end of a text page, apart from acknowledgements and grant information (not to be listed separately).
  • Authors should mention computing requirements (Hardware & Software) as well as performance issues.
  • All the references should be mentioned in alphabetical order.
  • Submissions that do not follow the above instructions may be returned to the authors for correction before being published.
  • https://www.springer.com/journal/44230/submission-guidelines

BLIND REVIEW POLICY

We are committed to timely evaluation and presentation/publication of fully approved papers at the Artificial Intelligence and Knowledge Processing 2023 (AIKP’23). All submissions are subjected to a rigorous review procedure in order to maintain a high-quality publication. The following are the characteristics of the blind peer-review procedure:

  • Parallel submissions of the same Research Paper to a different Conference, Journals or Symposium will not be accepted.
  • Papers having content outside the scope will not be reviewed.
  • In accordance with AIKP’23 policy, submissions will be assessed by 3 experts as suggested by the organizing committee.
  • Presentation and publication related decision(s) are made by the Organizing Committee AIKP’23, based on the reports given by the experts. The authors of papers that are not approved will be notified promptly and the decision taken by the organizing committee AIKP’23 will be the final verdict.
  • All the submitted papers are considered confidential documents. We expect our Board of Reviewing Editors and reviewers to treat the papers as confidential matters as well.
  • Editors and Reviewers must ensure the papers meet all the mentioned requirements.
  • Editors and reviewers engaged in the review procedure must state any conflict of interest arising from direct competition, collaboration or other ties with any of the authors, and should withdraw themselves from situations where such conflicts prevent objective evaluation. The utilization of privileged information or ideas received via peer review for competitive benefit is prohibited.
  • Review reports should be made available on request to the Managing Editor if required.
  • The identities of the reviewers cannot be disclosed and the peer review procedure is confidential.

ETHICAL POLICY FOR AIKP 2023

Authors must be truthful when reporting their study findings and conclusions. Knowledge is damaged by research malpractice. It has the potential to mislead other researchers.

(a)Research Results:

Security breaches or research results from others, as well as data manipulation, misrepresentation, or biased reporting with the purpose to mislead or deceive, is unethical. The findings of research should be documented and required to file so that they can be analyzed and reviewed. The information should be stored for a reasonable time after publication and made available upon request. Exceptions may be appropriate in some cases to safeguard privacy, ensure patent protection, or for other similar reasons.

(b) Authorship:

Everyone who has made a major contribution must be given the opportunity to be recognized as author. Other people who have helped with the project should also be recognized. All authors, both academic and corporate, should report a complete disclosure of their current institutional affiliations in their articles.

(c) Plagiarism:

It is not allowed to plagiarize text from other papers without correctly crediting the source (plagiarism) or to publish several papers with nearly identical information by the same authors (self-plagiarism). It is unethical to submit the same results to many journals at the same time. The review articles are an exception. It is not permissible for authors to present results gained from others as if they were their own. Authors should acknowledge the work of others who have impacted the direction and course of their research and mention publications that have provided the path for their research.

(d) Duplicate Submission:

Parallel presentations of the same Research Article / Manuscript to multiple Conferences / Journals are not permitted. If it is discovered that the submitted article has been duplicated elsewhere, it will be eliminated without consideration.

(e) Human and Animal Rights:

If there is the usage of human subjects or human medical data in the work, the author should ensure the work described is executed in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments on humans: Clinical Trials Results, Reporting Clinical Trials, Registration of Clinical Trials- must be followed.


Chief Patrons


  • Dr. Raul V. Rodriguez, Vice President, Woxsen University, India
  • Dr. R.V.R. Krishna Chalam, Vice-Chancellor, Woxsen University, India
  • Dr. Bhanu Sree Reddy, Dean, School of Business, Woxsen University, India

Patrons


  • Prof. Debdutta Choudhury, Assoicate Dean - Accreditation & Assurance of Learning, School of Business, Woxsen University, India
  • Dr. Manjeet Rege, Chair, Department of Software and Data Science & Professor, Department of Software and Data Science, University of St. Thomas, MN, USA

Convenor


  • Dr. Hemachandran K, Professor, School of Business, Woxsen University, India

Co-Convenor


  • Dr. Rajesh Kumar, Assistant Professor, School of Business, Woxsen University, India
  • Prof. Sunil Kumar, School of Business, Woxsen University, Hyderabad, India

International Advisory Board Members


  • Dr. Valentina Emilia Balas, Professor, Aurel Vlaicu University of Arad, Romania
  • Dr. Umashankar Subramaniam, Associate Professor, Prince Sultan University, Saudi Arabia
  • Dr. Xiao-Zhi Gao, Professor, University of Easter Finland, Finland
  • Dr. Llorenc Valverde, Professor, Computer Science, Universitat de les Illes Balears, Palma
  • Dr. Gabriel Kabanda, Secretary General, Zimbabwe Academy of Sciences, Zimbabwe
  • Prof. Ezendu Ariwa, Professor, Warwick University, United Kingdom
  • Dr.Petia Radeva, Professor, University of Barcelona, Spain
  • Dr.Vasos Pavlika, Associate Professor, University College London, United Kingdom
  • Dr. Thinagaran Perumal, Associate Professor, University Putra Malaysia, Malaysia
  • Dr. Linda Mary Simon, Project Professional, UAE
  • Dr. Imed Ben Dhaou, Associate Professor, Dar Al-Hekma University, Saudi Arabia
  • Dr. Juan R. Jaramillo, Associate Professor, Adelphi University, USA
  • Dr. Sivarama Krishnan Rajaraman, Research Scientist, NLM, National Institutes of Health, USA
  • Dr. Ravi Dadsena, Research Scientist, DZNE, Germany
  • Dr. Ephias Ruhode, professor, University of the Witwatersrand, South Africa
  • Dr. Ganeshsree Selvachandran, Associate Professor, UCSI University, Malaysia
  • Dr. Anil Pise, Seniar Data Scientist, University of the Witwatersrand, South Africa
  • Dr. Rana E. Jisr, Professor, Lebanese University, Lebanon
  • Dr. Cynthia Jabbour Sfeir, Associate Professor, Notre Dame University, Lebanon
  • Dr. Manas Ranjan Pradhan, Associate Professor, Skyline University College, Sharjah, UAE
  • Dr. Ashok Chopra, Amity University, Dubai
  • Dr. Nawaz Ahmad, Associate Professor, Shaheed Benazir Bhutto University,
  • Prof. Mohammed Abdul Matheen, Professor, KSU, Saudi Arabia
  • Dr. Neyara Radwan, Associate Professor, KAU, Saudi Arabia
  • Dr. Manimurugan S, Associate Professor, University of Tabuk, Saudi Arabia

National Advisory Board Members


  • Dr. Santanu Kumar Behera, Professor, NIT Rourkela, India
  • Dr. Ayon Chakraborty, Assistant Professor, IIT-Madras, India
  • Dr. Ramesh Gardas, Professor, IIT-Madras, India
  • Dr. Saravanan Chandran, NIT Durgapur, West Bengal, India
  • Dr. Sivarama Krishnan, Associate Professor, IIT- Madras, India
  • Dr. Thiruvikraman Kandhadai, Professor, BITS, Hyderabad Campus, India
  • Dr. Debashis Guha, Professor, SP Jain School of Global management, Bangalore, India
  • Dr. Pavan Kumar Damaraju VRS, Tata Consultancy Services, Hyderabad, India
  • Dr. Justus Rabi, Professor, Christian Engineering College, Chennai, India
  • Mr. Sujayandra Vaddagiri, Laminaar Aviation Infotech (India) Pvt. Ltd., Bangalore, India
  • Dr. Kannan A, Professor, Dr. MGR Educational & Research Institute University, India
  • Dr . Deepika, Associate professor, Bennett University, India
  • Dr. Sandip Vijay, Professor, Tula’s Institute, India
  • Dr. Reeba Korah, Professor, Alliance University, Bangalore, India
  • Dr. Clement King, Mount Carmel College, Bangalore, India
  • Dr. Kiran Pandey, Associate Professor, TIT, Bhopal, India

Technical Program Committee


  • Dr. Annappa B, Professor, NIT, Surathkal, India
  • Dr. Lavanya Ramapantulu, AI Hardware Architect, AlphalCs Corporation, Bangalore, India
  • Dr. Akila Muthuramalingam, Professor, KPRIET, Tamil Nadu, India
  • Dr. Shubam Tayal, Associate Professor, SR University, Warangal, India
  • Dr. D. Vetrithangam, Professor, Chandigarh University, India
  • Dr . DeepaJothi, Associate Professor, NCET, Bangalore, India
  • Dr. Jaspal Kumar, Professor, MIST, Hyderabad, India
  • Dr. Balaji Ganesh, Professor, Vellammal Engineering College, Chennai, India
  • Dr. Prasanth, Associate Professor, SVCET, Chennai, India
  • Dr. Shiela Mahapatra, Professor, Alliance University, Bangalore, India
  • Dr. Javeed MD, Professor, SDIES, Hyderabad, India

Technical Program Chairs


  • Dr. Rajesh Kumar, School of Business, Woxsen University, Hyderabad, India
  • Prof. Sunil Kumar, School of Business, Woxsen University, Hyderabad, India
  • Dr. Shahid Mohammad Ganie, School of Business, Woxsen University, Hyderabad, India
  • Prof. Dibya Nandan Mishra, School of Business, Woxsen University, Hyderabad, India
  • Dr. Pinisetti Swami Sairam, School of Business, Woxsen University, Hyderabad, India

Coordination Committee


  • Prof. Venkat Reddy, School of Business, Woxsen University, Hyderabad, India
  • Prof. Syed Hasan Jafar, School of Business, Woxsen University, Hyderabad, India
  • Dr. Sairam Moturi, School of Business, Woxsen University, Hyderabad, India
  • Chahat Mishra, School of Business, Woxsen University, Hyderabad, India
  • Prof. Sunil Kumar, School of Business, Woxsen University, Hyderabad, India
  • Prof. Dibya Nandan Mishra, School of Business, Woxsen University, Hyderabad, India
  • Dr. Subhadarshini Khatua, School of Business, Woxsen University, Hyderabad, India
  • Prof. Shreya Mukherjee, School of Business, Woxsen University, Hyderabad, India
  • Prof. Purushottam Naidu, School of Business, Woxsen University, Hyderabad, India

Important Dates

Last date for submission of Abstract:

10th February 2023

Intimation of the acceptance of Abstracts:

20th February 2023

Last date to submit the full paper:

5th July 2023

Intimation of the acceptance of paper:

20th July 2023

Last date to submit the revised paper:

20th August 2023

Mode of Conduct:

Hybrid

Call for Papers


Registration Fee Details For Paper Presentation and indexing in Scopus

    National Participants:

  • Undergraduates / Postgraduates : Rs. 7500 /-
  • Research Scholars : Rs. 8500 /-
  • Academicians / Professionals : Rs. 9500 /-
    International Participants:

  • Undergraduates / Postgraduates : 100 USD
  • Research Scholars : 125 USD
  • Academicians / Professionals : 150 USD

Industry Partners

Supported By

About the University

Woxsen received University status in May 2020, and it is among the first private universities of Telangana and is located on a 200-acre residential campus at Hyderabad. We have facilities on campus like Robotics Lab & AI Lab, enabling the students to become highly skilled professionals in Business Analytics and Artificial Intelligence. Woxsen offers a first of its kind MBA Program in Business Analytics, Artificial intelligence & Machine Learning. The program has been diligently designed to equip students with knowledge and skills in Business Science & Management, which dramatically enhance their ability to make informed decisions of high quality by making the most optimal use of emerging technology.