Data Science Funded Research 2019
Ali Mahdavi Adeli
amadeli@memphis.edu
Current Project: Integrating firm and event data from structured and unstructured data sources
Department of Business Information & Technology
Euntae Ted Lee elee
elee@memphis.edu
Current Project: Investigating critical issues in the adoption of Wiki-API
Project Co-researcher:
Dae Youp Kang
dkang3@memphis.edu
Department of Business Information & Technology
Jamein P. Cunningham
jpcnnng2@memphis.edu
Current Project: Evolution of Civil Rights Enforcement and Economic Prosperity of Minorities
Project co-researcher:
Jose Joaquin Lopez
jjlopez@memphis.edu
Department of Economics
Lih-Yuan Deng
lihdeng@memphis.edu
Current Project: Data Reduction for Big Data
Project co-researcher:
Dale Bowman
ddbowman@memphis.edu
Department of Mathematical Sciences
Fawaz Mzayek
fmzayek@memphis.edu
Current Project: Applying a systems medicine approach to epidemiologic research and public health
Epidemiology, Biostatistics and Environmental Health, School pf Public Health.
Ranganathan Gopalakrishnan
rgplkrsh@memphis.edu
Current Project: Modeling of stochastic physical processes by analyzing collision time distributions
Department of Mechanical Engineering
Thang Hoang
tbhoang@memphis.edu
Current Project: Development of Fully Automated Software Systems for Large Data Acquisition and Real
Time Data Analysis
Department of Physics and Material Science
Fawaz Mzayek
fmzayek@memphis.edu
Current Project: Applying a systems medicine approach to epidemiologic research and public health
Department of Division of Epidemiology, Biostatistics, and Environmental Health
Deepak Venugopal
dvngopal@memphis.edu
Current Project: Explainable Inference Methods for Relational Data
Department of Computer Science
Xinhua Yu
xyu2@memphis.edu
Current Project: Predicting short term mortality with machine learning in lung cancer patients
Department of Epidemiology, Biostatistics, and Environmental Health
Chen Zhang
czhang12@memphis.edu
Current Project: Poverty Prediction Using Deep Learning, Social Network Analysis, Education and Ethnicity
– The case of City of Memphis
Project co-researcher:
Srikar Velichety
svlchety@memphis.edu
Department of Business Information and Technology
Hongmei Zhang
hzhang6@memphis.edu
Current Project: Preliminary study if a novel machine-learning approach, hybrid clustering with multidimensional
vectors
Project co-researcher:
Bernie Daigle
bjdaigle@memphis.edu
Department of Biological Sciences and Computer Science
Cluster Researchers:
Carl Magnus Leopold Bjuggren
cmbjggrn@memphis.edu
Department of Economics
Mark L Gillenson
mgillnsn@memphis.edu
Department of Business Information & Technology
Ching-Chi Yang
cyang3@memphis.edu
Department of Mathematical Sciences