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International Conference on Mathematics and Data Science Applications

Date: 15th & 16th July 2026 | Time: 9.00 am – 12:00 pm (IST) | Location: Online

Sample Abstract
Phone: 8977760443 Email: support@onegrasp.com

Overview:

The International Conference on Mathematics and Data Science Applications brings together mathematicians, data scientists, statisticians, and industry experts to explore mathematical foundations powering AI, machine learning, and big data analytics. The conference focuses on optimization techniques, probabilistic modeling, topological data analysis, and real-world applications in predictive analytics, finance, healthcare, and sustainability, fostering interdisciplinary solutions for complex data challenges.


Structure and Sessions (Who Does What):

  • Inaugural Session: Welcome address by the Conference Chair and keynote on “Mathematical Foundations of AI and Data-Driven Discovery.”
  • Technical Paper Sessions: Presentations on algorithmic advancements, statistical modeling, and computational mathematics in data science
  • Panel Discussion: Academics, industry leaders, and policymakers discuss ethical AI, scalable algorithms, and data governance
  • Student & Research Forum: Young researchers present innovative projects on graph theory, optimization, and machine learning applications
  • Closing Session: Certificate presentations, memento distribution, and concluding remarks on future mathematical-data synergies.

Participate and Contribute (Who Benefits):

  • Mathematicians, statisticians, data analysts, and AI researchers
  • Industry professionals, educators, and policymakers advancing data-driven decision-making.
  • Industry professionals, educators, and policymakers advancing data-driven decision-making
  • Participants benefit from a platform that merges foundational research and modern experimentation, gaining opportunities for publication, collaboration, and recognition.

Benefits for Attendees :

  • Certificate of participation (based on feedback submission)
  • Memento for presenters and moderators
  • Publication of accepted abstracts in indexed conference proceedings

Abstract Topics / CFP (Call for Papers) Tracks:

  • Mathematical Optimization in Machine Learning
  • Mathematical Optimization in Machine Learning
  • Topological Data Analysis and Geometry
  • Graph Theory and Network Analytics
  • Probabilistic Models and Bayesian Inference
  • High-Dimensional Statistics and Dimensionality Reduction
  • AI Ethics and Trustworthy Algorithms
  • Computational Linear Algebra for Big Data
  • Applications in Finance and Risk Analysis
  • Algebraic Integers and Field Extensions
  • Sustainability Analytics via Mathematical Models
  • Data Privacy and Differential Privacy Techniques

Detailed Program Grid (2 Half Days – 8 AM to 12 PM)

TimeDay 1Day 2
08:00 – 08:15Opening Ceremony & WelcomeRecap and Opening Remarks
08:15 – 09:00Keynote: Math Powering AI InnovationKeynote: Big Data Optimization Frontiers
09:00 – 10:15Technical Session I – Optimization & GraphsTechnical Session IV – Applications & Ethics
10:15 – 10:30 Break Break
10:30 – 11:15Technical Session II – Statistics & TopologyTechnical Session V – Future Directions
11:15 – 11:45Panel Discussion: Data Science GovernanceStudent & Research Forum
11:45 – 12:00Day Summary & AnnouncementsAwards & Closing Ceremony

Submit Abstract & Registration :

Conference DatesConference TitleTiming (IST)Abstract Submission DeadlineRegistration Deadline
15th & 16th July 2026International Virtual Conference on Mathematics and Data Science Applications8:00 AM – 12:00 PM (IST)
26th Jan 202628th Jan 2026

10:30 AM – 2:30 PM (SGT/CST/JST) | 12:30 PM – 4:30 PM (AEST – Australia) | 3:30 AM – 7:30 PM (BST – UK) | 9:30 PM – 1:30 AM (EST-US&Canada)

Abstract Guidelines:

  • 300–350 words  including  Title, Author(s), Affiliation, Email, and 5 Keywords
  • Font: Times New Roman 12 pt, 1.5 spacing
  • File Format: .doc or .docx only
  • Submissions will undergo double-blind peer review to ensure quality, originality, and relevance

Conclusion:

This conference bridges pure mathematics with data science innovation, empowering researchers to develop robust algorithms and models for AI-era challenges, promoting sustainable and ethical data applications across industries.



    Submit Abstract


    * Please fill complete form and upload attachment then hit 'Submit Now' button.

    ** If you fail to submit the abstract online please email to support@onegrasp.com

    Note: Guidelines for Submit Abstract


    Registration

    Type of participation
    Early Bird Registration
    June 10, 2026
    Mid Registration Deadline
    June 24, 2026
    Late Registration Deadline
    July 8, 2026

    Registration Summary

    Registration Price (Per Person - Speaker / Poster (Virtual)):

    $159

    Participants:

    1

    Total Registration Price:

    $159

    Total Price:

    $159

    By clicking "Proceed to Pay", you agree to the privacy policy, terms & conditions and cancellation policy.

    Note: For more information on registration queries, please contact: support@onegrasp.com

    Registration includes:

    For In-person attendees

    • Entry to all conference sessions, poster presentations, and the exhibition area
    • Conference kit comprising a name tag, program booklet, and abstract book
    • Two coffee breaks and lunch are provided for each day of the conference
    • Accreditation Certificate issued by the Organizing Committee

    For Virtual Attendees

    This category enables participants to present virtually at the conference from the convenience of their home or workplace without the need for in-person attendance. It includes:

    • Access to all presentations
    • An E-abstract book and program
    • An E-certificate for presentation and participation
    • A CPD (Continuous Professional Development) Certificate with Credits

    Terms and Conditions

    By enrolling in the conference, you hereby express your acceptance of the terms and conditions stated herewith.

    The organization retains the authority to modify the program, date, and/or location at its discretion, without prior notification.

    The organization cannot be held accountable for any loss or damage incurred due to substitutions, adjustments, delays, or cancellations of an event caused by unforeseen factors beyond its control. Such factors encompass, but are not limited to, force majeure, natural disasters, acts of sabotage, accidents, labor disputes, acts of terrorism, strikes, or hostilities.

    The organization reserves the right and possesses the exclusive discretion to cancel any conference at any time under circumstances that are unavoidable and unanticipated. The organizer will not assume any additional liability towards the participant.

    Registrations will remain valid for rescheduled events or future editions if the conference must be postponed due to circumstances beyond the organizer's control. Refund policies do not apply under these conditions.

    In the instance of cancellation, the organization will make reasonable and appropriate alternative arrangements, which may include posting the cancellation notice on the relevant event website to inform those who have secured bookings or purchased tickets for the event.

    Attendees are responsible for reviewing this information before the event. We strongly recommend regularly checking the conference website for updates.

    The organizers shall not be held responsible for personal injuries or for the loss or damage to personal belongings of attendees, either during the conference.

    Important COVID-19 Update for Participants

    In case of any natural calamities, those who are unable to attend in person due to travel restrictions or health concerns, enable your virtual participation. Details on accessing the virtual platform will be provided 2 months prior to the conference. And on your request the registration will transfer to future editions.

    We will provide regular updates on the conference website regarding any changes to the event format, health and safety measures, and other relevant information. Please check the website periodically for the latest updates.