About

Dr. Pakeeza Akram is working as Assistant Professor in the School of Electrical Engineering and Computer Science . Dr. Pakeeza Akram has a PhD in Machine Learning And Data Science . Dr. Pakeeza Akram has published 2 research articles & conference papers having a citation count of 20 , carried out 1 projects and filed 0 intellectual property.

Research Tags

Research Projects

1

Industry Projects

0

Amount Granted

0.1 M

Publications

2

Citations

20

Intellectual Property

0
Publication Types
Project Types
Publications by Year
Projects by Year

Education

PhD Machine Learning And Data Science 2013- 2018
University of Delaware , United States
MS 2013- 2018
University of Delaware , United States
MS Drug Designing 2008- 2011
International Islamic University , Pakistan

Experience

Assistant Professor 2021- Present
School of Electrical Engineering and Computer Science , NUST
Assistant Professor 2018- 2021
School of Electrical Engineering and Computer Science , NUST
Lecturer 2011- 2013
Anam degree College Rawalpindi , Rawal Town, Street 1, Rawalpindi ,

Awards

Fulbright Scholar 2012
Fulbright Scholarship was awarded for 5 year for Ph.D. program
Second Position UG 2008

Memberships

1
Research Projects
0
Industrial Projects
1
National Projects
0
International Projects
0.1M
Total Funding (PKR)
CanvasInsight 2019
Project Status: Completed Rs: 0.1 M Approval Date: 2019-09-24 Completion Date: 2019-11-04
Funding Agency: IGNITE
2
Research Articles
0
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
Prediction of missing common genes for disease pairs using network based module separation on incomplete human interactome 2017
LI
Li Liao (University of Delaware)
Journal: BMC Genomics, Volume 18, Supplement 10, Article Number 902
Impact Factor: 3.73 Citations: 10 Quartile: 1
Prediction of comorbid diseases using weighted geometric embedding of human interactome 2019
LI
Li Liao (University of Delaware)
Journal: BMC Medical Genomics, Volume 12(Suppl 7), Article Number: 161
Impact Factor: 2.570 Citations: 10 Quartile: 3
No IP records found for this faculty member
No training records found for this faculty member
0
Total Supervisions
0
PhD Supervisions
0
MS Supervisions
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