We are very happy to announce the following keynote speakers for the 5th International Conference on Machine Vision and Machine Learning (MVML'19):

Dr. Dalila B. Megherbi
Director, Computer Machine/Human Intelligence Networking and Distributed Systems (CMINDS) Research Center
Faculty of Electrical and Computer Engineering, Francis College of Engineering
University of Massachusetts, Lowell, USA
View Profile

Dr. Dalila B. Megherbi

Dr. Dalila B. Megherbi received the Sc.M in Electrical and Computer Engineering, the Sc.M in Applied Mathematics, and the Ph.D in Electrical and Computer Engineering from Brown University, Providence, RI, USA. Dr. Megherbi is a faculty of Electrical and Computer Engineering at the University of Massachusetts, Lowell. She is the founder and Director of the research Center for Computer Machine/Human Intelligence Networking and Distributed Systems (CMINDS). Her research is internationally recognized. Since joining UMass Lowell, Dr. Megherbi holds more than 120 refereed peer-reviewed publication articles, including in the IEEE and the prestigious Nature Biotechnology (impact factor 41.667). She holds US patent. At UMass Lowell, she has been the recipient of numerous research grants and contracts, as the primary lead principal investigator, from several federal agencies and the industry, including, DoD AFRL/WPAB, NSF, US FDA, NIH, Raytheon Air Missile Defense Systems, Xilinx Inc., Structural Dynamics Research Corporation, SUN Microsystems, Altera Inc., and Sky Computers Inc. She graduated more than 30 graduate students Ph.D. and MS students with a thesis option. She serves as associate editor and member of the editorial boards and reviewer for a dozen of journals, including IEEE transactions. She has been invited to organize/TPC/session chair, and to speak at several national and international conferences. She has been invited to serve on national and international peer review boards including, NSF, NIH, NASA, and National Science Foundation of Ireland. She has been the recipient of several research and teaching awards, including the recipient of the Best Paper Award of all conference tracks at the IEEE International Conference on Homeland Security, the recipient of the IEEE Control Systems Society CDC Best Paper Finalist Award, the recipient of the Best Paper Award at the IEEE international conference ROMA, the recipient of the Top Professor Award for Outstanding Academic Integrity Leadership and Service to the students, the recipient of several university of Massachusetts Lowell Outstanding Teaching Excellence Awards, the recipient, each year since this recognition award was initiated in 2010, of 6 UMass Lowell Annual Research and Scholarship Recognition Awards, in recognition of faculty with extensive scholarship during that year. She has been a member of an international project consortium led by the US FDA. She was invited, interviewed and quoted in the New York Times for her expertise in big data facial recognition for homeland security applications. She was contacted by major national and international news agencies for her work and expertise in big data and facial recognition for homeland security. She was invited, interviewed and featured by the Science News Radio Network for her expertise in Artificial Intelligence and Big Data technologies applied to Weapons of Mass Destruction. Her primary current research interests are in computational machine vision and intelligence, deep learning, “Big data” analytics, knowledge extraction/representation, and adaptive learning systems in distributed computing systems and networks, with applications to homeland security and the life sciences (high throughput meta-genomics). Her main research goal is the understanding of and building sensor-based machines that can be made to exhibit intelligence. The idea is to build intelligent machines/sensors and to understand certain aspects of human and animal biological intelligence.

Topic of Keynote:AI and Machine Learning for Multi-spectral Imaging Applications

Keynote Abstract

MVML'19 is part of the 5th World Congress on Electrical Engineering and Computer Systems and Science (EECSS'19). Congress Website | Congress Flyer

Upcoming Dates

Feb. 08, 2019
May 24, 2019
Paper Submission Deadline
Final Extended Paper Submission Deadline
June 5, 2019
Notification to Authors
June 18, 2019
Early-Bird Registration

Google Scholar