About AIKP-2024

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, Bigdata analytics, Intelligent systems, fuzzy-based neural networks and other fields.

Call For Papers

Publication

Minimum of three independent reviewers will be reviewing the paper and they will provide scientific comments on those papers. Based on their review chair will approve the paper. After a careful reviewing process, accepted papers will be submitted to publish in the proceedings with Springer in their Communications in Computer and Information Science (CCIS) series.

Call For Papers

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


AI Algorithms Heuristic and AI Planning Strategies and Tools
Computational Theories of Learning Hybrid Intelligent Systems
Artificial Intelligence Tools & Applications Neural Networks
Intelligent System Architectures Safe, Explainable, and Trustworthy AI
Uncertainty in AI Computational Intelligence
Natural Language Processing
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
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
Automatic Control Fuzzy Logic Control
Neural network-based control Neural network identification of nonlinear systems
Robotics and Autonomous Systems
Computer Vision Image processing
Pattern Recognition Multimedia and Cognitive Informatics
Download Paper Template

Please submit your paper to the following email address:

Instructions For Authors

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 caption(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.
Submission Guidelines

BLIND REVIEW & ETHICAL 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 and ethic policy:


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.
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.
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.
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.

Important Dates

Last date to submit the full paper:

July 5, 2023

Intimation of the acceptance of paper:

July 20, 2023

Last date to submit the revised paper:

August 20, 2023

Mode of Conduct:

Hybrid

Keynote Speakers

Prof. Zita Zoltay Paprika
Prof. Zita Zoltay Paprika

Former Dean, Head of Decision Science, Corvinus Business School, Budapest, Hungary & EFMD Programme Accreditation Board Member

Dr. Guandong Xu
Dr. Guandong Xu

Professor, School of Computer Science University of Technology Sydney, Australia

Dr. Manjeet Rege
Dr. Manjeet Rege

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

Dr. Kok-Leong Ong
Dr. Kok-Leong Ong

Head of Department, Systems & Business Analytics RMIT University, Australia

Dr.Sivarama Krishnan
Dr.Sivarama Krishnan

Rajaraman, Ph.D, Research Scientist, National Library of Medicine (NLM), National Institutes of Health (NIH), USA

Dr. Abejide Ade-Ibijola
Dr. Abejide Ade-Ibijola

Full Professor: Artificial Intelligence and Applications at the Johannesburg Business School (JBS)

Registration Details

Registration Fee

National Participant
Undergraduates / Postgraduates 7500/-
Research Scholars 8500/-
Academicians / Professionals 9500/-

International Participant
Undergraduates / Postgraduates USD 100
Research Scholars USD 125
Academicians / Professionals USD 150


Register Here

Committee Members

Chief Patrons Dr. Raul V. Rodriguez Vice President, Woxsen University, India
Dr. R.V.R. Krishna Chalam Vice-Chancellor, Woxsen University, India
Patrons Dr. Kakoli Sen Dean, School of Business, Woxsen University, India
Prof. Debdutta Choudhury Assoicate Dean - Accreditation & Assurance of Learning, School of Business, Woxsen University, India
Chairs Dr. Hemachandran K Professor, School of Business, Woxsen University, India
Dr. Raul V. Rodriguez Vice President, Woxsen University, India
Dr. Manjeet Rege Chair & Professor, Department of Software and Data Science, University of St. Thomas, MN, USA
Dr. Guandong Xu Professor of Data Science, School of Computer Science & Data Science Institute,
Smart Future Research Centre, Director Faculty of Engineering and IT, University of Technology, Sydney, Australia
Dr. Kok-Leong Ong Professor of Business Analytics, Head of Department, Information Systems and Business Analytics,
Director, Enterprise AI and Data Analytics Hub, School of AISSC, College of B&L
Co-Chairs Dr. Vincenzo Piuri Professor, University of Milan, Italy
Dr. Sivarama Krishnan Rajaraman Research Scientist, National Library of Medicine (NLM), National Institute of Health, USA.
Dr. Rajesh Kumar Assistant Professor, School of Business, Woxsen University, Hyderabad, India.
Convener Dr. Hemachandran K. Professor, School of Business, Woxsen University, India
Co-Convener Dr. Rajesh Kumar Assistant Professor, School of Business, Woxsen University, Hyderabad, India.
Dr. Shahid Mohammad Ganie Assistant Professor, School of Business, Woxsen University, Hyderabad, India
Prof. Bikash Pradhan Assistant Professor, School of Business, Woxsen University, Hyderabad, India
International Advisory Board Members Prof. Zita Zoltay Paprika Former Dean, Head of Decision Science, Corvinus Business School, Budapest, Hungary &
EFMD Programme Accreditation Board Member
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 Senior 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 Chairs Dr. Revathi Theerthagiri Assistant Professor, School of Business, Woxsen University, Hyderabad, India
Prof. Mayank Gupta Assistant Professor, School of Business, Woxsen University, Hyderabad, India
Prof. Lokesh Kumar Assistant Professor, School of Technology, Woxsen University, Hyderabad, India
Prof. Punit Kumar Singh Assistant Professor, School of Technology, Woxsen University, Hyderabad, India
Dr. Debashish Mishra Assistant Professor, School of Technology, Woxsen University, Hyderabad, India
Prof. Sandeep Saharan Assistant Professor, School of Business, Woxsen University, Hyderabad, India
Technical Program Committee Dr. Murugappan M. Professor, Electronics Department, Kuwait College of Science and Technology, Kuwait
Dr. Jude Hemanth Professor, Karunya University
Dr. Alexiei Dingli Professor of Applied Artificial Intelligence, University of Malta,Msida
Dr. Patrick Glauner Professor of Artificial Intelligence, Deggendorf Institute of Technology, Germany
Dr. Thomas Heinrich Musiolik Professor, University of Europe for Applied Sciences, Germany
Mr. Djamel Mostefa Head of Data and Artificial Intelligence, Adeo, Paris
Dr. Philipp Plugmann SRH Hochschule fur Gesundheit Gera, Germany
Dr. Jordan Bird Research Fellow and Lab Lead, Nottingham Trent University, England
Dr. Channabasava Chola Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea
Dr. Anil Audumbar Pise University of the Witswatersrand, Johannesburg, South Africa
Mr. Waseem Rawat Senior Manger, Toyota, South Africa
Mr. Joel Ugborogho Founder, CenHealth, London
Mr. Jens Stapelfeldt Sr. BDM Data Centre AI & Compute markets, AMD, Germany
Dr. Johan Steyn Research Fellow, Stellenbosch University, Johannesburg, South Africa
Ms. Saidani Begum Assistant Professor, University of Saudia at Ministry of Higher Education, Saudi Arabia
Mr. Rejwan Bin Sulaiman Lecturer, Department of Computer Science and Engineering, Northumbria University, London
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. Prasant Associate Professor, SVCET, Chennai, India
Dr. Shiela Mahapatra Professor, Alliance University, Bangalore, India
Dr. Javeed MD Professor, SDIES, Hyderabad, India
Mr. Sanjay Vishwakarma IBM Research, Research Software Engineer
Mr. Srinjoy Ganguly Quantum AI Research Scientist, Fractal AI

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