Open Science Research Excellence

ICMLMCFFR 2021 : International Conference on Machine-Learning Methods for Complex Flows and Flow Reconstruction

New York, USA
December 9 - 10, 2021

International Scientific Committee

Chung Hyun Goh   University of Texas at Tyler, US
Akilesh Rajavenkatanarayanan   The University of Texas at Arlington, US
Mahdi Imani   George Washington University, US
Arash Mahyari   Florida Institute for Human and Machine Cognition, US
Samir Iqbal   University of Texas Rio Grande Valley, US
Faezehossadat Khademi   Illinois Institute of Technology, US
Nagdev Amruthnath   Western Michigan University, US
Sergio Davalos   University of Washington Tacoma, US
Ayush Singhal   University of Minnesota, Twin Cities, US
Naga Usha Gayathri Lokala   Wright State University, US
Thuan Nguyen   School of Management - University of Texas at Dallas, US
Elnaz Lashgari   California State University and Claremont Graduate University, US
Shanshan Tuo   Xad Inc, US
Mohammed Korayem   Careerbuilder, Llc., US
Chiranth Srinivasan   University of Oklahoma, US
Yu Zhang   Emc Corporation, US
Fan Wang   Microsoft Corporation, US
Victor Sheng   University of Central Arkansas, US
Wael Hassan   University of California, Berkeley, US
Guoxiang Liu   University of North Dakota, US
Kiran Bhaganagar   University of Texas, San Antonio, US
Suresh Kamath   Metlife Inc, US
Ashish Chawla   University of Texas at Arlington, US
Henry Hexmoor   Southern Illinois University, US
Konstantinos Domdouzis   University of Illinois at Urbana - Champaign, US
Jing Hu   Franklin & Marshall College, US
Jung Hun Oh   Washington University in St. Louis, US
Waleed Zaghloul   Health Language Inc., US
Adel El Shahat   Ohio State University, US
Zhi Wei   New Jersey Institute of Technology, US
Jacqueline Fairley   Emory University, US
Asli Celikyilmaz   University of California at Berkeley, US
Huanjing Wang   Western Kentucky University, US
Mariofanna Milanova   University of Arkansas at Little Rock, US