AI & Machine Learning
The core science — from foundational models to learning that runs at the edge.
- Deep learning
- NLP
- Computer vision
- Reinforcement learning
- Generative models
- Explainable AI
- Edge AI
VII EditionDec 10–11, 2026Online conference · WorldwideTechnical support · IEEE El Salvador
2026 IEEE International Conference
Machine Learning &
Applied Network Technologies
Where researchers, engineers and students gather to advance the frontier of machine learning, networks, IoT and signal processing — and the systems that connect them.
Paper submission closes in
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VIIEdition
42+Speakers to date
20Countries
100+Attendees
About the conference
ICMLANT brings the machine-learning and networking communities together for two online days of peer-reviewed research, keynotes and exchange.
Now in its seventh edition, the International Conference on Machine Learning and Applied Network Technologies is a forum for original work at the intersection of artificial intelligence and the networks that carry it — from deep learning and signal processing to the Internet of Things and next-generation communications.
Accepted papers are peer-reviewed and prepared in the IEEE Conference Proceedings format. The conference is organized by the STEAM Robotics Academy with the technical support of the IEEE El Salvador Section, drawing authors and speakers from more than twenty countries.
Tracks & topics of interest
Four tracks, one connected frontier
Original contributions are welcome across the full breadth of machine learning and applied network technologies — including, but not limited to, the areas below.
Networks
The infrastructure of connection — architectures, protocols and security.
- 5G / 6G
- SDN & NFV
- Wireless
- Network security
- Protocols
- Optimization
Internet of Things
Intelligence at the sensor — connected devices and the systems around them.
- Smart cities
- Industrial IoT
- Sensor networks
- Edge computing
- Embedded systems
Signal Processing
Extracting meaning from data streams across every modality.
- Image & video
- Biomedical signals
- Audio & speech
- Sensor fusion
- Pattern recognition
Keynote speakers
Voices shaping the field
Two days of keynotes and technical sessions led by researchers and practitioners from across the ML and networking community.
Dr. Manuel Cardona
Keynote · Conference Chair
IEEE Senior Member & IEEE Eta Kappa Nu · STEAM Robotics Academy. Research in robotics, control and applied machine learning.
Dr. Kazim Raza Talpur
Keynote Speaker
Researcher in machine learning, network security and intelligent systems, joining ICMLANT 2026 as an invited keynote.
More speakers to be announced.
Important dates
Mark your calendar
All deadlines are firm. Submit early through Microsoft CMT to allow time for the peer-review process.
October 12, 2026Deadline
Paper submission
Full papers, up to 6 pages, via Microsoft CMT.
November 13, 2026
Acceptance notification
Authors are notified of review decisions.
November 20, 2026
Author registration & camera-ready
Final files due and presenting author registered.
December 4, 2026
Late registration closes
Last date to register for attendance.
December 10–11, 2026Event
Conference days
Two online days of keynotes and technical sessions.
Registration
Registration fees
Every accepted paper requires at least one author registration by November 20, 2026. The early-bird rate applies through that deadline; the late rate applies afterwards.
| Registration category | Early-bird | Late |
|---|---|---|
| IEEE Member — AuthorOne accepted paper | $100 | $120 |
| Non-Member — AuthorOne accepted paper | $120 | $150 |
| Additional paperSame presenting author | $80 | $100 |
| Student / General AttendeeNon-author | Free | Free |
All fees in USD. One registration covers one accepted paper. Fees are non-refundable and must be paid before the deadline for the paper to appear in the proceedings. Payment details are published on the official conference channels.
Organizing & program committee
Committee
ICMLANT is led by an international committee of researchers and reviewers who guide the program and oversee peer review across all tracks.
Technical Program Committee
- Abhinav TomarUPES Dehradun, UK, India
- Anchit BijalwanArba Minch University
- Anitha SACSCE, Bangalore, Karnataka, India
- Anuj SinghalGJU S&T, Hisar, Haryana, India
- Chander PrabhaChandigarh University, Punjab, India
- Claudia Lorena Garzón CastroUniversidad de La Sabana
- Claudia Nallely SánchezUniversidad Panamericana, México
- Deepak KshirsagarCollege of Engineering Pune, Maharashtra, India
- Duc-Tan TranPhenikaa University, Vietnam
- Fernando SerranoDon Bosco University
- Hiram PonceUniversidad Panamericana
- Héctor CañasUniversidad Don Bosco, UDB, El Salvador
- Josué Ortíz MedinaUniversidad Panamericana, México
- Jyoteesh MalhotraGuru Nanak Dev University, Regional Campus, Jalandhar, Punjab, India
- Lam Sinh CongUniversity of Engineering and Technology, VNU, Hanoi, Vietnam
- Le Anh NgocElectric Power University, Hanoi, Viet Nam
- Marcin PaprzyckiSystems Research Institute, Polish Academy of Sciences
- Monica HuertaUniversidad Salesiana del Ecuador, Ecuador
- Naresh KumarCentral University of Haryana, India
- Nguyen Canh MinhUniversity of Transport and Communications (UTC), Vietnam
- Nguyen Dang KhoaPhenikaa University, Vietnam
- Nguyen Thi Dieu LinhHanoi University of Industry, Vietnam
- Nguyen Tien AnhLe Quy Don Technical University, Vietnam
- Nguyen Van ThangThuyLoi University, VietNam
- Pedro Rodrigo CruzUniversidad de Jaén, Spain
- Pham Minh NghiaLe Quy Don University, Vietnam
- Ramiro VelásquezUniversidad Panaméricana, México
- Ricardo Espinosa LoeraUniversidad Panamericana, México
- Rizwan Khan. Ph.DABES Institute of Technology, Ghaziabad (U.P.), India
- Sebastián GutiérrezUniversidad Panaméricana, México
- Sudan JhaChandigarh University, Punjab, India
- Sumit KumarGopal Narayan Singh University, Sasaram, Bihar, India
- Tran Duc NghiaInstitute of Information Technology (IoIT), VAST, Vietnam
- Tran Thi Thuy QuynhUniversity of Engineering and Technology, VNU, Hanoi
- Yaldiel Rodríguez GalloUniversidad Don Bosco, UDB, El Salvador
Past editions & proceedings
Six online editions, every one in IEEE Xplore
Since 2020, ICMLANT has run as an online conference, with proceedings published in the IEEE Xplore Digital Library and indexed in Scopus. Follow the conference year by year.
- 2020Online
ICMLANT 2020
IEEE Hyderabad & IEEE El Salvador Sections
OnlineIEEE Xplore · Scopus - 2021Online
ICMLANT 2021
Universidad Don Bosco · Universidad Panamericana · IEEE El Salvador Section
OnlineIEEE Xplore · Scopus - 2022Online
ICMLANT 2022
Universidad Don Bosco · IEEE El Salvador Section
OnlineIEEE Xplore · Scopus - 2023Online
ICMLANT 2023
Universidad Don Bosco · IEEE El Salvador Section
OnlineIEEE Xplore · Scopus - 2024Online
ICMLANT 2024
IEEE El Salvador Section
OnlineIEEE Xplore · Scopus - 2025Online
ICMLANT 2025
Universidad Don Bosco · IEEE El Salvador Section
OnlineIEEE Xplore · Scopus
Records: ICMLANT 2020 (#50963) · 2021 (#53170) · 2022 (#56191) · 2023 (#59547) · 2024 (DOI 10.1109/ICMLANT63295.2024). ICMLANT 2026 proceedings will likewise be submitted to IEEE Xplore and indexed in Scopus.
OnlineJoin from anywhere
Attend
A fully online conference, open to the world
- Online conference. All keynotes and technical sessions are streamed live — no travel required. The joining link is shared with registered participants ahead of the event.
- December 10–11, 2026. Two full days of keynotes, paper sessions and networking, run in El Salvador time · UTC−06:00.
- A global gathering. Speakers and delegates from more than 20 countries in past editions — now easier than ever to join.
Organized & supported by
Organizers & partners
ICMLANT 2026 is organized by the STEAM Robotics Academy with the technical support of IEEE, bringing together the region's research and engineering community.
Join us online
Be part of ICMLANT 2026
Submit your work before October 12, or register to attend two online days at the frontier of machine learning and network technology.