Lukman Enegi ISMAILA

I am postdoctoral researcher at The Johns Hopkins University, School of Medicine. I reside at The F.M. Kirby Research Center for Functional Brain Imaging at Kennedy Krieger Institute, under the supervision of Dr. Ann Choe and Prof. Jim Pekar. I earned my Ph.D degree in Computer Science with speciality on Image, Signals and Vision under the supervision of Prof. David Rousseau, Dr. Pejman Rasti and Dr. Jean-Michel Lemée at Angevin Laboratory for Research in Systems Engineering (LARIS), University of Angers, France. My doctoral work focused on developing machine learning algorithms for automatic recognition of functional brain networks towards preservation of patients neurological functions in brain tumor resection procedure using resting-state functional magnetic resonance imaging (rs-fMRI). Previously, I have the honor of doing my Master thesis under the supervision of Prof. Mohamed Hamada at University of Aizu, Japan in collaboration with African University of Science and Technology (AUST) Abuja, Nigeria. I completed my B.Sc. in computer science at Nile University of Nigeria, under the supervision of Prof. Steve A. Adeshina where I got the opportunity to embark on early fruitful scientific endeavors like eGovernance and election management system. My professional experience as a software engineer has afforded me the opportunity to confidently interact with cutting-edge technologies for advancing strategic research projects. My university teaching experience has strengthened my understanding of complex theoretical concepts, while providing me the opportunity to support and mentor students.