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Network Science and Engineering Group

Contact us

3108 Engineering Hall
1701D Platt St.
Manhattan, KS 66506
785-532-5600
Fax: 785-532-1188

Hours: 8 am-12pm, 1pm-5pm M-F

Tanvir Ferdousi

profile

Network Science Research Lab

tanvirf [AT] ksu.edu

785-320-3457

3064 Engineering Hall

 

Google Scholar: Click Here

Bio and personal site: Click Here

 

Ongoing Research

Dengue fever risk estimation using recurrent neural networks

 

Teaching Responsibilities (TA)

ECE 890 - Introduction to Blockchain (Spring 2019)

ECE 540 - Applied Scientific Computing for Engineers (Fall 2016, Fall 2017)

ECE 241 - Introduction to Computer Engineering (Spring 2017)

ECE 512 - Linear Systems (Spring 2017)

 

Interests

Mechanistic and data driven prediction models

Network theory and applications

Blockchains and smart contracts

 

Research Publications

  1. Shahtori, N. M., Ferdousi, T., Scoglio, C., & Sahneh, F. D. (2018). Quantifying the impact of early-stage contact tracing on controlling Ebola diffusion. Mathematical Biosciences & Engineering, 15(5), 1165-1180. URL

 

Academic Information

PhD in Electrical and Computer Engineering (ECE)

Kansas State University (K-State)

 

BS in Electrical and Electronic Engineering (EEE)

Bangladesh University of Engineering and Technology (BUET)

 

Professional Information

Graduate Research Assistant (Aug 2016 - May 2021)

Electrical and Computer Engineering, Kansas State University

 

Senior Software Engineer (Mar 2015 - Jul 2016)

Software Engineer (Apr 2013 - Feb 2015)

Samsung R&D Institute Bangladesh Ltd. (SRBD), Samsung Electronics

 

Research Engineer (Feb 2013 - Mar 2013)

Institute of Information & Communication Technology (IICT), BUET