Artificial Intelligence (AI) has the potential to transform industries, improve efficiency, and enhance decision-making processes across various sectors. From healthcare and finance to transportation and entertainment, AI is unlocking new possibilities and driving innovation. By analyzing huge amounts of data with incredible speed and accuracy, AI systems can uncover patterns, make predictions, and provide valuable insights that enable businesses and individuals to make informed choices. Furthermore, AI-powered technologies have the capacity to solve complex problems, automate repetitive tasks, and improve overall productivity. As we continue to harness the power of AI, it is very important to ensure responsible development and deployment that meets ethical standards, transparency, and fairness. By embracing AI, we can unlock its potential to shape a brighter and better future for humanity.

AI is used in businesses and fields all around the world like healthcare, e-commerce and retail, finance, manufacturing and automation, marketing, advertising, and customer service and there are several successful implementations of AI across various industries that highlight its potential and impact. These examples show how AI is being successfully implemented across various fields. As technology continues to advance, the potential for AI to reform industries and create new opportunities is huge.

Conference Scope

“The Artificial Intelligence and Computational Technologies” conference aims to bring together researchers, practitioners, and industry experts from different backgrounds to explore the latest advancements in artificial intelligence (AI) and computational technologies. This conference provides a platform for sharing innovative ideas, discussing real-world usage cases, and addressing the ethical considerations associated with the rapid development and deployment of AI and computational technologies. 

The conference will cover a broad range of topics including, but not limited to, AI-driven innovations in various domains such as healthcare, finance, manufacturing, and transportation. It will delve into the practical implementation of AI and computational technologies, showcasing successful usage cases, best practices, and lessons learned. Additionally, the conference will emphasize the importance of ethical considerations in AI, addressing topics such as algorithmic bias, transparency, privacy, and accountability.

Statement of Purpose 

The main goal of this conference is to allow attendees to gain valuable insights into the latest innovations, emerging trends, and real-world applications of AI and computational technologies. Participants get to engage in thought-provoking discussions surrounding the ethical considerations that accompany the integration of AI in society. Ultimately, the conference aims to contribute to the responsible and ethical development and deployment of AI and computational technologies, promoting a sustainable and inclusive future.

The Artificial Intelligence and Computational Technologies conference aims to provide a dynamic platform for researchers, practitioners, industry experts, and policymakers to come together and engage in stimulating discussions on the advancements, applications, and ethical dimensions of artificial intelligence (AI) and computational technologies. With the rapid proliferation of AI and computational technologies across various sectors, it is crucial to gather diverse perspectives and expertise to explore innovative solutions, share practical usage cases, and critically examine the ethical considerations associated with their implementation.

• 1. Machine Learning and Deep Learning

  1.1. Neural network architectures and algorithms.

  1.2. Transfer learning and domain adaptation.

  1.3. Generative models and adversarial learning.

  1.4. Reinforcement learning and decision-making.

  1.5. Explainable AI and interpretable models.

  1.6. Federated learning and privacy-preserving techniques.

  1.7. Bayesian networks and probabilistic reasoning.

  1.8. Create AI systems for generating human-like, natural-sounding text.

• 2. AI in Environmental and Sustainability Applications

  2.1. AI in agricultural technology: Optimizing crop yield predictions.

  2.2. AI algorithms for effective waste management and recycling.

  2.3. AI tools for real-time monitoring of environmental pollution.

  2.4. Improving water quality monitoring and management through AI.

  2.5. AI applications in wildlife conservation and habitat monitoring.

  2.6. AI applications in seismology for earthquake prediction.

  2.7. AI for analyzing satellite imagery to monitor deforestation and illegal logging.

  2.8. AI-driven optimization of renewable energy grid distribution.

• 3. AI in Healthcare and Medicine

  3.1. AI algorithms for early detection of chronic diseases using patient data.

  3.2. AI in drug discovery and pharmaceutical research.

  3.3. The role of AI in enhancing the accuracy of medical diagnostics.

  3.4. Investigating the role of AI in mental health assessment and therapy.

  3.5. Identifying disease-related genetic markers through AI-driven analysis.

  3.6. Personalized medicine through AI-driven genomic insights.

  3.7. Optimizing hospital operations with AI-powered resource management tools.

  3.8. AI algorithms for predicting the outbreak and spread of infectious diseases.

• 4. AI in landscape design and management

  4.1. AI-driven analysis for sustainable urban green spaces.

  4.2. AI for predicting soil and plant health in landscape design.

  4.3. AI-enhanced tools for optimizing landscape layouts and biodiversity planning.

  4.4. AI-driven irrigation, water management, and climate adaptation strategies.

  4.5. AI-powered visualization and simulation of landscapes in virtual environments.

  4.6. AI-integrated satellite and remote sensing for large-scale environmental monitoring.

  4.7. Using AI to restore and maintain historical gardens, landscapes, and cultural heritage sites.

  4.8. AI-driven urban reforestation and green infrastructure development.

• 5. AI in architecture design and urban planning.

  5.1. Machine learning for predicting urban growth and infrastructure needs.

  5.2. AI applications in parametric and generative architectural design.

  5.3. AI-powered building performance analysis and smart material optimization.

  5.4. AI-driven optimization of building energy efficiency and carbon footprint.

  5.5. Neural networks for real-time structural integrity monitoring of buildings and bridges.

  5.6. AI-enhanced 3D visualization, simulation, and gaming tools for urban planning.

  5.7. AI in designing disaster-resilient urban infrastructure.

  5.8. AI and blockchain for smart city governance, data security, and transparent decision-making.

• 6. AI and Recent Technologies in Transportation Managment

  6.1. AI for Intelligent Traffic and Route Optimization.

  6.2. Predictive maintenance using machine learning.

  6.3. AI in Smart Logistics and Vehicle Tracking.

  6.4. Autonomous public transportation systems.

  6.5. Enhancing sustainability through AI-powered transportation.

  6.6. AI in Autonomous Vehicle Technology: Sensor Fusion, Path Planning, and Safety Standards.

  6.7. The use of AI in automated drone navigation for delivery services.

  6.8. Path planning algorithms for autonomous navigation

• 7. AI in Technology and Innovation

  7.1. Enhancing the accuracy of weather prediction models using AI.

  7.2. Real-time language translation in social media platforms through AI.

  7.3. AI applications in virtual reality and augmented reality experiences.

  7.4. AI and ML in artistic creation: Music, visual arts, and literature.

  7.5. The application of ML in enhancing speech recognition technologies.

  7.6. AI for developing smarter wearables with real-time contextual awareness.

  7.7. AI systems for creating hyper-personalized digital entertainment experiences.

  7.8. AI in quantum computing for solving complex optimization problems

• 8. AI in Ethics and Social Impact

  8.1. Bias and fairness in AI algorithms and models.

  8.2. Ethical considerations in AI-driven decision-making.

  8.3. Privacy and data protection in AI applications.

  8.4. Explainability and interpretability in AI systems.

  8.5. AI and societal impact: job displacement and social inequality.

  8.6. Regulation and governance of AI technologies.

  8.7. Ethical AI systems for recruitment and hiring processes.

• 9. Transforming Business Strategies with AI

  9.1. AI for Predictive and Programmatic Advertising.

  9.2. AI-Powered Personalization Across Marketing and Customer Service.

  9.3. Real-Time Marketing Automation and Response Optimization.

  9.4. AI-Powered Feedback and Insights Analysis.

  9.5. Social Media Monitoring and Sentiment Analysis.

  9.6. Enhancing Customer Segmentation and Dynamic Pricing.

  9.7. AI-Driven Creative Content and Video Advertising Innovations.

  9.8. Conversational AI and Emotion Detection for Customer Support.

• 10. AI in Security and Privacy

  10.1. AI solutions for cybersecurity: Threat detection, response, and predictive modeling.

  10.2. Machine learning techniques for enhancing image recognition in security systems.

  10.3. The use of AI in detecting and combating online misinformation.

  10.4. AI-powered tools for enhancing online privacy and data protection.

  10.5. Machine learning for automated content moderation on social platforms.

  10.6. AI applications for fraud prevention: Identity theft and insider threat detection.

  10.7. AI for securing IoT devices in smart homes and industries.

  10.8. AI for Behavioral Analytics in Security: Detecting Unusual Patterns.

• 11. AI in Enhancing Educational Accessibility and Scientific Knowledge

  11.1. Investigating the impact of AI in personalized education systems.

  11.2. The use of AI in developing adaptive learning technologies for disabled students.

  11.3. AI systems for real-time language interpretation for the deaf and hard of hearing.

  11.4. AI in enhancing the accessibility of digital content for visually impaired users.

  11.5. AI-powered tutoring systems for self-paced learning.

  11.6. Machine learning algorithms to detect and address learning disabilities early.

  11.7. AI for developing multilingual educational content.

  11.8. AI tools for gamifying education to improve engagement and retention

• 12. Utilization of Artificial Intelligence in Finance and Economics

  12.1. AI solutions for improving financial cybersecurity and fraud detection.

  12.2. The role of AI in optimising supply chain logistics for e-commerce.

  12.3. AI applications in retail: Chatbots, dynamic pricing, and inventory optimization.

  12.4. The effectiveness of ML in financial market prediction and analysis.

  12.5. AI-driven personal finance management tools.

  12.6. AI-driven algorithms for credit scoring in microfinance.

  12.7. AI tools for corporate sustainability, compliance, and employee analytics.

  12.8. AI systems for corporate sustainability reporting and compliance.

A. Online Attendance

• The fee covers:
  • A softcopy of the abstracts book and/ or hard copy (excluding shipping)
  • IEREK Participation/ Contribution Certificate in softcopy
  • Acceptance Letters in softcopy
  • Consideration for publishing in the IEREK ASTI series by Springer or IEREK Press
  • Access to conference recordings

• If multiple abstracts are submitted by the same first author submitted to the conference, a 25% discount is applied to each additional submission.
• Each research paper should have one main author who should pay the full fee (Author fees) regardless of attendance. Co-authors, each, have their own fees to pay to attend the event. This applies to online attendance as well as physical attendance.
• A research paper fee allows only one author, whether main or co-author, to attend the conference and receive only one copy of the conference Abstract book in soft copy. Extras can be requested for an additional fee.
• Professionals are categorized as participants who are not affiliated with universities such as practitioners, policymakers, entrepreneurs etc.
• Students must provide proof of enrollment in a university by providing an enrollment certificate or a valid university ID (with issue/ expiry date) etc.

B. Extra Fees

Payment Methods

 Payment of the registration fee can be made via the following methods (only after online registration):

1. Bank transfer 

Kindly send a request to the conference coordinator/ email and CC [email protected] to receive bank details to complete the payment.

2. Online payment gateway (PayPal)

Participants who would like to complete their payments online must send a request to the conference coordinator/ email and CC [email protected] to receive a customized link to complete their payments.

3. Cash in IEREK branches

Payment in person can be arranged. Please contact the conference coordinator/ Email to receive further information.

Payment Terms and Guidelines:

• Read more on Important Dates. For information on payment dates, kindly send a request to the conference coordinator/email and CC [email protected] to receive payment details to complete the payment.

• Authors who have registered and completed payment for virtual attendance CAN request a change to physical attendance. However, a change from physical to virtual is NOT possible.

• After online registration and payment, the registration fee cannot be reimbursed.

• Final Acceptance/ rejection of your full/ extended paper (if submitted) can only be given after the peer review process.

• Inclusion in the conference program, acceptance letters issuance and consideration for publication must be preceded by registration and payment completion.

• Online Payment (only) should only be completed once a proforma invoice is issued with respective instructions for successful payment.

• Contact our Financial Department for inquiries/ requests.

IEREK has an unyielding policy regarding plagiarism. We believe that copying/taking the ideas and work of other Authors without permission and credit is fraudulent. The Reviewing committee and IEREK employees have the authority to reject a paper during its reviewing process, based on the paper being subjected to either minor or major plagiarism.

Authors must refer to, and abide by, the following instructions in submitting their abstracts/ papers:

Step 1: Abstract Submission Process

• The author should prepare and submit an Abstract of at least 150 – 300 words through the website.
• The abstract should be concise and clearly state the proposed research study's purpose, results, and conclusions.
• The author should select the most relevant topic for the paper from the corresponding conference topics.
• The author can use/download an Abstract Writing Template prior to submission
• To submit your abstract, you first need to (1) click on the “Register” button on the conference page, (2) click on “Submit Now” and:
  • Select the Topic in which you are making the submission
  • Insert the title of your study in the "Paper Title" section
  • Insert the full abstract in the "Abstract" section/upload a file in the .pdf, .doc, .docm, or .docx format
  • Add in writing 3 – 5 keywords that define the field, subfield, topic, and research area covered by the article to help other researchers understand and find your work.
  • Provide the names, affiliations, and E-mails of all authors/ co-authors involved
  • Confirm your submission by ticking having read the instructions and “submit Abstract”

Step 2.1: Abstract Acceptance

• After acceptance of your abstract of at least (150 – 300 words), you will receive a proforma invoice and specific instructions to complete the payment online or by bank transfer (See Conference Fees) to confirm your participation,
• Once your abstract has been accepted, please refer to the important dates tab and carefully review the announced dates to avoid late payment, as late payment comes at an extra charge (early bird/regular/late).
• After successfully completing payment, you will be issued upon request with the following:
  • A signed/ stamped abstract acceptance letter
  • Please note that acceptance of participation, abstract submission, and extended abstract/short paper submissions all have different deadlines. To stay up to date and avoid paying extra fees, or delaying your paper, please carefully review the important dates tab.
  • Receipt of Payment/ Payment Invoice
  • Visa Invitation Letter, if needed
• After abstract acceptance, you may be given the option to extend the abstract to publish your work in the conference proceedings in ASTI published by Springer Nature (indexed in Scopus/SCImago) (optional not obligatory).

  This is not a prerequisite for presenting your work at the conference. Meaning, you can present your submitted abstract without intending to publish your work.

Step 2.2: Abstract Extension / Short Paper (Optional)

• Your short paper / extended abstract should be 4 – 6 pages long and submitted before the paper submission deadline, in English, and fit within one of the conference topics.
• The Extended abstract i.e., the short paper should follow the research paper structure as follows: Abstract (+keywords), Introduction, problem statement, and study aim, Review of the Literature, Methodology, results and conclusion/ discussion, References list using the Paper Writing Template.
• The submission (short paper i.e. extended abstract) should be made following the same procedure followed for the abstract or sent to the conference email.
• Here: Authors may need more pages than the allotted maximum of 6 to insert figures, tables, appendixes, etc. In this case, they can submit regular papers (max. 12 pages) with the same fixed fee. For a detailed outline of the fees, please refer to the payment table in the conference fees tab.

Step 3: Rigorous Peer Review Process (double-blind)

This process can only be initiated after payment completion and confirmation:

• If submitted, the extension (short paper) will be preliminarily checked (iThenticate plagiarism/ similarity screening Software, readability, and scope) and it will be peer-reviewed. If similarity issues are detected, the following will apply:
  • % from all sources: 10-15%
  • % from one source: 3-5%
  • Higher than 30% (all sources): Reject completely
  • Lower than 30% (all sources): Ask for revision to decrease the similarities
• IEREK has an unyielding policy regarding plagiarism. We believe that copying/ taking the ideas and work of other Authors without permission and credit is fraudulent. The Reviewing committee and IEREK employees have the authority to reject a paper during its reviewing process, on the basis of the paper being subjected to either minor or major plagiarism.
• Each paper/ chapter is evaluated by a minimum of two reviewers, after which a final decision by the responsible Editor is made. There is no maximum to the number of times a paper can be reviewed, depending on the quality of the submission.
• If your short paper is accepted by the Editors for publishing with comments/ requested modifications, our Editors (publishing department) will contact you once a decision is made and you will be asked to revise and correct it. After resubmission, it will be re-checked. Note: There may be more than one round of peer review and the decision rests with the editors of the title. Missed deadlines may result in complete exclusion/ rejection from the final publication.
• If your short paper is accepted for publishing without edits/ comments, the corresponding author will be contacted to provide the final version of their chapters/ papers following Springer Guidelines and sign the Springer consent-to-publish (CTP) form to authorize publication in the conference proceedings.
• A back-and-forth process: modifications will be sent back to the responsible Editor/ Series Editor and another round of evaluation conducted where needed. Participants/ Authors should regularly check their emails (Junk/ Spam folders).
• If you are not interested in publishing an extended abstract in the proceedings in ASTI by Springer Nature, please inform the conference support ([email protected]).

Step 4: Extended paper 

• After the conference, the authors of the best papers will be invited to submit an extended version of their research, 8 – 12+ pages in length, (optional) of their short papers for publishing in an edited volume to be published by Springer Nature.
• Publishing your short paper (i.e., extended abstract) in the conference proceedings does not prevent the submission of the full version for publishing consideration after the conference if the similarity percentages (SR%) in Step 3 are taken into account.

All accepted submissions to the conference, after a rigorous double-blinded peer-review process by the respective and a highly-extinguished Editorial Board, will be published in one of the following:

• Advances in Science, Technology and Innovation (ASTI), an IEREK Interdisciplinary book series published by Springer Nature. (Scopus indexed)  

About ASTI

Advances in Science, Technology & Innovation (ASTI) is a series of peer-reviewed books based on important emerging research that redefines the current disciplinary boundaries in science, technology and innovation (STI) in order to develop integrated concepts for sustainable development. It not only discusses the progress made towards securing more resources, allocating smarter solutions, and rebalancing the relationship between nature and people, but also provides in-depth insights from comprehensive research that addresses the 17 sustainable development goals (SDGs) as set out by the UN for 2030.

The series draws on the best research papers from various IEREK and other international conferences to promote the creation and development of viable solutions for a sustainable future and a positive societal transformation with the help of integrated and innovative science-based approaches. Including interdisciplinary contributions, it presents innovative approaches and highlights how they can best support both economic and sustainable development, through better use of data, more effective institutions, and global, local and individual action, for the welfare of all societies. The series particularly features conceptual and empirical contributions from various interrelated fields of science, technology and innovation, with an emphasis on digital transformation, that focus on providing practical solutions to ensure food, water and energy security to achieve the SDGs. It also presents new case studies offering concrete examples of how to resolve sustainable urbanization and environmental issues in different regions of the world. Read More.

The ASTI series is fully indexed in Scopus and any chapter/ paper published as part of this series will be seen on the Scopus database.