3rd International Conference on

Artificial Intelligence
and Knowledge Processing
AIKP’23

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Organized by

School of Business, Woxsen University , Hyderabad, India
In collaboration with University of St. Thomas, MN, USA

Date and Time

6th and 8th October 2023
Mode : Physical & Virtual

About AIKP-2023

About AIKP-2023

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.

Publication

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.

Best Paper Award

Best Paper Award

HCIS Best Paper Award will be awarded to the best paper published on HCIS. 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.

Call for Papers

Call for Papers

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

  • 01 Theme - I: AI & Knowledge 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
  • 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
 
Instructions For Authors

Instructions For 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 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.

BLIND REVIEW & ETHICAL POLICY

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.

Keynote Speakers

Keynote Speakers

Prof. Zita Zoltay Paprika

Former Dean, Head of Decision Science, CBS,

Budapest, Hungary & EFMD Programme Accreditation Board Member

Dr. Guandong Xu

Professor, School of Computer Science

University of Technology Sydney, Australia

Dr. Kok-Leong Ong

Head of Department, Systems & Business Analytics

RMIT University, Australia

Dr. Guandong Xu

Professor, School of Computer Science

University of Technology Sydney, Australia

Ms.Swati Mohan

India JMT,

NatWest Group

Dr.Sivarama Krishnan

Rajaraman, Ph.D, Research Scientist, NLM

National Institutes of Health (NIH), USA

Dr. Ganesaraman K

Vice President & Head Global Internal Audit

[24]7.ai , India

Mr. Jayachandran K R

Senior Vice President

AI Labs Course5i Private Limited

Dr. Abejide Ade-Ibijola

Full Professor, Artificial Intelligence ,

Applications at the Johannesburg Business School (JBS)

Dr. Ramesh Karthik

Chief Digitl & Innovation Officer,

Thinkfinity

Important Dates

Important Dates

Registration Fees

Registration Fees

Undergraduates /
Postgraduates

7500 For National Students

    For International Students- 100 USD

    Pay Fee

Academicians /
Professionals

9500 For National Students

    For International Students - 150 USD

    Pay Fee

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

Associate Dean

Accreditation & Assurance of Learning, School of Business, Woxsen University, India

Chairs

Dr. Hemachandran K

Professor

School of Business, Woxsen University, India

Dr. Manjeet Rege

Chair & Professor

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

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

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

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

Technical Program Chairs

Mr. Lokesh Kumar

Professor

School of Business, Woxsen University, 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
  • Dr. Linda Mary Simon, Project Professional, UAE
  • Mr. Sujayandra Vaddagiri, Laminaar Aviation Infotech (India) Pvt. Ltd., Bangalore, India
  • Dr. Juan R. Jaramillo, Associate Professor, Adelphi University, USA
  • 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. 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. 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
  • Prof. Mayank Gupta
  • Dr. Revathi Theerthagiri

Indexing and Publisher

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Supported By

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Academic Partners

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Industry Partners

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About Woxsen University

Woxsen was established in 2014 and received University status in May 2020. It is among the first private universities of Telangana and is located on a 200−acre, residential campus at Hyderabad. Woxsen School of Business is approved by AICTE, and NBA accredited. It is the youngest B−School to be conferred with prestigious memberships by two largest global accreditation bodies in busi- ness education − AACSB (USA) and AMBA (UK). It offers Undergraduate, Postgraduate and Ph.D. programs catering to a range of academic pursuits. The campus is equipped with facilities like Robotics Lab & AI Lab, Bloomberg Lab which enable the students to become highly skilled professionals in Business Analytics and Artificial Intelligence.