ICMLT 2022

2022 7th International Conference on Machine Learning Technologies (ICMLT 2022) is going to take place at Rome, Italy during March 11-13, 2022.

In consideration of the health and safety of everyone, pervasive travel restrictions as well as most author’s appeals, we are forced to convert ICMLT 2022 into an fully conference in Zoom again.

The conference chair, Prof. Filippo Neri has given warmly welcome to all attendees by online. The organizing committee has invited Prof. Assaf Schuster (IEEE&ACM Fellow) from Israel Institute of Technology, Israel, Prof. Angrisani Leopoldo (IEEE Fellow) from Università degli Studi di Napoli Federico II, Italy, Prof. Dapeng Wu (IEEE Fellow) from University of Florida, USA and Prof. Ning Xiong from Mälardalen University, Sweden to deliver keynote&plenary speeches. They have given topics with "Complex Events in Massive Data Streams", "Artificial Intelligence and Measurement Science: A Synergetic Interaction for the 4.0 Era and the (r)evolution into Cyber-Physical Measurement Systems" "One-shot Federated Learning for Communication Reduction and Model Compression" “Enhancing Differential Evolution with Integrated Adaption and Local Search” seperately.

Moreover the conference was composed of 6 technical oral sessions, all authors have presented their research papers by online, some records as bleow:

The Best Presentation award as below:

S1: Nydile M N, Vidyavardhaka College of Engineering, Mysuru, India
S2: Zhengxin Qi, Fordham University, USA
S3: Zhuo Cheng, Wuhan University of Science and Technology, China
S4: Sakib Shahriar, Zayed University, UAE
S5: Mejdi Dallel, LINEACT - CESI, France
S6: Supadchaya Puangpontip, Texas Tech University, USA

Files Download

Call for Paper Download

Paper Template Download

Listener's Registration Form

Note: If you'd like to attend the conference without paper publication and presentation, please download the listener registration form directly.

 

Contact Us

Conference Secretary: Ms. Sukie Yao  

Email: icmlt_conf@163.com    

Tel: +86-28-83207566  

You could contact us by email or phone during 10 am—5:30 pm in the working days for any queries.