ISSER Conference

Conference Session Tracks

Aligned with

UN SUSTAINABLE DEVELOPMENT GOALS

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.

SDG 4 Quality Education

SDG 8 Decent Work and Economic Growth

SDG 9 Industry, Innovation and Infrastructure

SDG 11 Sustainable Cities and Communities

SDG 12 Responsible Consumption and Production

TRACK 01

Advancements in Machine Learning Algorithms

This track focuses on the latest developments in machine learning algorithms, emphasizing novel approaches and their app...

TRACK 02

Big Data Analytics and Visualization Techniques

This session will explore innovative techniques for analyzing and visualizing large datasets, highlighting tools and met...

TRACK 03

Cloud Computing for Big Data Solutions

This track addresses the role of cloud computing in managing and processing big data, focusing on architectures, service...

TRACK 04

Predictive Analytics in Information Technology

This session aims to showcase research on predictive analytics methodologies and their applications within IT environmen...

TRACK 05

Intelligent Systems and Automation

This track examines the intersection of intelligent systems and automation technologies, focusing on their role in optim...

TRACK 06

Data Processing and Integration Techniques

This session will delve into advanced data processing and integration techniques that facilitate the seamless handling o...

TRACK 07

Scalable Computing for Big Data Challenges

This track focuses on scalable computing solutions that address the challenges posed by big data, including distributed ...

TRACK 08

Business Intelligence and Data-Driven Decision Making

This session explores the role of business intelligence in leveraging big data for strategic decision-making. Papers tha...

TRACK 09

AI Algorithms for Enhanced Data Analysis

This track investigates the application of artificial intelligence algorithms in enhancing data analysis processes. Rese...

TRACK 10

Frameworks for Data Analytics in IT

This session will focus on the development and evaluation of frameworks designed to support data analytics in IT environ...

TRACK 11

Optimization Techniques in Machine Learning

This track examines optimization techniques used in machine learning to improve model performance and efficiency. Resear...

International Conference on Machine Learning and Big Data Visualization in IT (ICMLBDVIT-26)

18th - 19th September 2026, Munich, Germany(In-person or Virtual)

Early Bird Registration

Latest News and Announcements:

Registration Reminder:
Don’t forget to register early for the ISSER Society Conference in Munich ! Early-bird registration ends soon, so register today to take advantage of discounted fees Register Now!

Certificate of Presentation – Recognizing Your Contribution:
Present your research and receive a Certificate of Presentation to recognize your valuable contribution to the conference. Be part of an international academic community and gain acknowledgement for your hard work and dedication!

Paper Submission Guidelines:
Ensure your paper follows the guidelines for successful submission and review. Visit our paper submission page for all the details."

Keynote Speaker Sessions – Learn from Industry Experts:
Attend Keynote Speaker Sessions led by renowned industry experts. Gain insights from leaders in your field and learn about the latest trends, innovations, and academic advancements Apply Now!

Opportunity for Scopus-Indexed Journal Publication:
Get the opportunity to have your research published in a Scopus-Indexed Journal. Your work could be featured in a high-impact publication, helping you expand your academic visibility.

Networking with Global Experts:
Take advantage of the conference to network with global experts in your field. Meet researchers, professionals, and academics, and expand your international professional network.

SDG-Inspired Conference Focus:
Our conference aligns with key global priorities, promoting collaborative solutions to complex challenges in line with the UN’s Sustainable Development Goals.