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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

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