Tolga Ensari, PhD
Assistant Professor
Arkansas Tech University
Address:
Arkansas Tech University
Dept. of Engineering and Computing Sciences
1811 N Boulder Ave, Corley Hall, Room 241
Russellville, Arkansas 72801, USA
Dr. Tolga Ensari is an assistant professor of computer science at the Department of Computer and Information Science (Department of Computer and Information Science), Arkansas Tech University, Russellville, USA. He teaches several courses in computer science, machine learning, and data science. He received his Ph.D. degree in computer science from Istanbul University, Turkey in 2009. He was a visiting scholar at the University of Louisville, USA in 2012, 2014, and 2019. His research interests are machine learning, deep learning, and pattern recognition. He has 20+ years of research experience in this field. Dr. Ensari has published more than 85 scientific journal/conference articles and book chapters. He has many citations in the literature.
He founded a computational intelligence and machine learning research lab and supervised many master degree and PhD degree thesis. Dr. Ensari also completed many scientific research projects in the machine learning area. He delivered many keynote speeches and invited research talks in both academia and industry. He was awarded as a successful international researcher. He had research grants as a principal investigator (PI), co-principal investigator (Co-PI), or researcher from the National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), Arkansas Tech University (ATU), ITEA4 Program, Scientific and Technological Research Council of Turkey (TUBITAK), Istanbul University-Cerrahpasa, and Council of Higher Education.
Additionally, he served as a scientific advisor for fourteen commercial companies’ R&D projects from the industry. Dr. Ensari has been serving as a conference general chair, steering committee member, technical program committee member, reviewer, guest editor, and a committee member for many scientific journals and conferences including Nature, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Cambridge University Press, Neural Computing and Applications, PLOS, and Current Bioinformatics. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and has patents.