ICMLCI April 6-7, 2019
International Conference on Machine Learning and Computational Intelligence
ICMLCI Venue: Kunming, China
Program Committee

Prof. Ishwar Sethi
Department of Computer Science and Engineering, Oakland University, Rochester, USA

Prof. Xin-She Yang
School of Science and Technology, Middlesex University, Hendon Campus, London NW4 4BT, UK

Prof. Janusz Kacprzyk
Polish Academy of Sciences, Warsaw, Poland

Prof. Lakhmi C. Jain
University of Canberra, Canberra, Australia

Prof. Florin Popenţiu-Vlădicescu
Academy of Romanian Scientists, UNESCO Chair Department, University of Oradea, 1, University Street, City – Oradea, 410087, Romania

Prof. Kazumi Nakamatsu
School of Human Science and Environment, University of Hyogo, Shinzaike-hon-cho, Himeji 670-0092, Japan

Prof. Yeon-Mo Yang
National Institute of Technology; School of Electronic Engineering; Gyeongbuk, Gumi; Republic of Korea

Prof. Jae Moon Lee
Hansung University, Republic of Korea

Professor Baojiang Zhong
School of Computer Science and Technology; Soochow University, Suzhou 215006, China

Prof. Fatos Xhafa
Department of Languages and Informatics Systems, Technical University of Catalonia, Campus Nord, Ed. Omega, C/Jordi Girona 1-3, 08034 Barcelona, Spain

Prof. Madjid Tavana
Professor and Distinguished Chair of Business Analytics, Chairman of the Business Systems and Analytics Department, La Salle University, Philadelphia, Pennsylvania 19141, USA

Professor Zhengtao Yu
Dean, School of Information Engineering and Automation, Kunming University of Science and Technology, 650500, China.

Dr. Xiaolong Li
Department of Electronics and Computer Engineering Technology, College of Technology, Indiana State University, USA.

Dr. Chan-Su Lee
Associate Professor, Department of Electronic Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 712-749, Rep. of Korea (South Korea)

Sushanta Kumar Panigrahi
Interscience Institute of Management and Technology, Bhubaneswar, India

Apolloni, Bruno
Università degli Studi di Milano, Italy

Chen, Shyi-Ming
National Taiwan University of Science and Technology, Taiwan

Coulibaly, Yahaya
University Technology Malaysia, Malaysia

Cui, Zhihua
Taiyuan University of Science and Technology, China

Das, B.K.,
Government of India, India

Davis, Joseph
The University of Sydney, Australia

De La Escalera Hueso
Arturo, Universidad Carlos III de Madrid, Spain

El Mohajir, Mohammed
Dhar Mahraz University, Morocco

Hessami, Ali
Vega Systems, UK

Hsu, Yen-Tseng
National Taiwan University of Science and Technology, Taiwan

Jain, Lakhmi C
Bournemouth University, UK

Jain, Sanjay
National University of Singapore, Singapore

Khatua, Chidananda
Intel Corporation Inc., USA

Kiper, Ayse
Middle East Technical University, Turkey

Kohout, Ladislav J
Florida State University, USA

Koukam, Abderrafiaa
Université de Technologie de Belfort Montbéliard, France

Langari, Reza
Texas A&M University, USA

Liu, Feng
Wuhan University, China

Ma, Maode
Nanyang Technological University, Singapore

Mahalik, N. P
California State University, Fresno, USA

Mahapatra, Rabi N
Texas A&M University, USA

Misra, Subhas C
IIT Kanpur, India

Mitra, Pabitra
Indian Institute of Technology Kharagpur, India

Gloria, Loyola University Maryland, USA

Reddy, P. Krishna
International Institute of Information Technology, India

Serhani, M. Adel
United Arab Emirates University, United Arab Emirates

Shafazand, M. Hassan
Shahid Bahonar University of Kerman, Iran

Shan, Tony C
Wachovia Bank, USA

Shukla, Anupam
Indian Institute of Information Technology and Management, Gwalior (ABV-IIITM), India

Soto Acosta, Pedro
University of Murcia, Spain

Trappl, Robert
Austrian Research Institute for Artificial Intelligence (OFAI), Austria

Tzafestas, Spyros
National Technical University, Greece

Yeap, Wai-Kiang
Auckland University of Technology, New Zealand

Zhang, Yudong
Nanjing Normal University, China

Zorat, Alessandro
University of Trento, Italy

Sponsored by

IIMT, Bhubaneswar (INDIA)


Submission Guidelines
  • The submissions may be of any form out of the following:
  • New algorithms with empirical, theoretical, psychological, or biological justification.
  • Experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems.
  • Applications of existing techniques that shed light on the strengths and weaknesses of the methods.
  • New learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks.
  • Development of new analytical frameworks that advance theoretical studies of practical learning methods.
  • Computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.

Yun An Auditorium
Majie Street, Shian Road
Xishan District
Kunming China