The 4th ICONNSMAL 2026
It is with my great pleasure and honor to announce the The 4th International Conference on Neural Networks and Machine Learning (ICONSSMAL) 2026 which will be held from 11 - 12 August 2026 in the University of Jember, East Java, Indonesia.
Opening Remarks
Dr. Ir. Iwan Taruna, M.Eng., IPM.
Rector
(Universitas Jember)
Indonesia
Plenary Speakers
Dr. D Salangai Nayagi
Associate Professor in the Internet of Things, Big Data, and Machine Learning
(Galgotias University)
India
Dr. Maharani Abu Bakar
Senior Lecturer in Artificial Neural Networks and Machine Learning
(Universiti Malaysia Terengganu)
Malaysia
Prof. Dr. Umesh Kumar Lilhore
Professor in Computer Science and Engineering
(Galgotias University)
India
Prof. Alhadi B., S.Si., M.Kom., Ph.D.
Professor in Computational Mathematics
(Universitas Indonesia)
Indonesia
Falih Gozi Febrinanto, M.Tech., Ph.D.
Researcher at Wildlife Crime Research Hub
(Adelaide University)
Australia
Prof. Drs. Slamin, M.Comp.Sc., Ph.D.
Professor in Graph Theory
(Universitas Jember)
Indonesia
Prof. Drs. Dafik, M.Sc., Ph.D.
Professor in Graph Theory and Applied Mathematics
(Universitas Jember)
Indonesia
Prof. Bayu Taruna Widjaja P., Ph.D.
Professor in Smart Farming and Precision Agriculture
(Universitas Jember)
Indonesia
Conference Themes
The main themes of the 4th ICONNSMAL (International Conference on Neural Networks and Machine Learning)
are focused on recent developments in neural networks, machine learning, artificial intelligence,
computational intelligence, and their applications. The topics of the conference include:
1. Artificial Neural Networks and Its Application
2. Deep Learning and Lifelong Machine Learning for Physical Science
3. Graph Neural Network and Its Applications
4. Network Topology Analysis and Supply Chain Management
5. Pattern Recognition Study
6. Soft Computing Theory and Applications for Material Science
7. Artificial Intelligence Tools and Computational Intelligence for Quantum Mechanics
8. Data Clustering for Big Data Mining
9. Modern Cryptography for Cybersecurity
10. Programming Languages and Software Engineering
11. Intelligent System: Architecture, Design and Control
12. Natural Language Processing
13. MOOC-Based Learning
These themes cover key areas related to neural networks, deep learning, graph neural networks,
artificial intelligence, big data mining, cybersecurity, intelligent systems, software engineering,
natural language processing, and technology-based learning.
The main themes of the 4th ICONNSMAL (International Conference on Neural Networks and Machine Learning) are focused on recent developments in neural networks, machine learning, artificial intelligence, computational intelligence, and their applications. The topics of the conference include:
1. Artificial Neural Networks and Its Application
2. Deep Learning and Lifelong Machine Learning for Physical Science
3. Graph Neural Network and Its Applications
4. Network Topology Analysis and Supply Chain Management
5. Pattern Recognition Study
6. Soft Computing Theory and Applications for Material Science
7. Artificial Intelligence Tools and Computational Intelligence for Quantum Mechanics
8. Data Clustering for Big Data Mining
9. Modern Cryptography for Cybersecurity
10. Programming Languages and Software Engineering
11. Intelligent System: Architecture, Design and Control
12. Natural Language Processing
13. MOOC-Based Learning
These themes cover key areas related to neural networks, deep learning, graph neural networks, artificial intelligence, big data mining, cybersecurity, intelligent systems, software engineering, natural language processing, and technology-based learning.
Time Schedule
Click Here
Publication
Contact Us
Rosanita Nisviasari, S.Si., M.Si.
(+62 857 4604 5070)
Rifki Ilham Baihaki, S.Si., M.Mat.
(+62 813 3628 6411)
Indah Lutfiyatul Mursyidah, S.Pd., M.Pd.
(+62 851-0641-2354)
Excelsa Suli Wildhatul Jannah, S.Pd., M.Pd.
(+62 823-3579-9995)