1. K-State home
  2. »Network Science and Engineering Group
  3. »NetSE Members
  4. »Md Mahbubul Huq Riad

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

 

riad

Md Mahbubul Huq Riad

 PhD Student and Research Assistant

 Electrical and Computer Engineering Department

 Kansas State University

 Email: mahbubriad@ksu.edu

 Office: 3064 Engineering Hall

 Phone: 785-317-2658

Education

PhD(Ongoing)

Kansas State University

Electrical and Computer Engineering

May 2017- Present

Masters

Electrical and Computer Engineering

Kansas State University

May 2017

Bachelor of Science in Engineering

Bangladesh University of Engineering and Technology

Electrical and Electronic Engineering

Dhaka, Bangladesh

February 2013    

 

Intern 

Beef Cattle Institute

Summer 2018

Job Responsibility: 

  • Extract, Transfer and Loading (ETL) data from third party sources to Company Database
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Creating a fully automated ETL system for daily data loading
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Creating front end user interface to input data, modify and manage database from a online shiny dashboard
  • Creating automated anomaly detection systems and constant tracking of its performance

 

Current Project

Modeling Japanese Encephalitis in US using Interconnected Networks.

Research Interest

Modeling Infectious Disease, Stochastic Modeling

Publications

  1. Riad MH, Scoglio CM, McVey DS, Cohnstaedt LW. An individual-level network model for a hypothetical outbreak of Japanese encephalitis in the USA. Stochastic Environmental Research and Risk Assessment. 2017 Feb 1;31(2):353-67.
  2. Riad MH, Scoglio CM, Cohnstaedt LW, McVey DS. Estimation of parameters and basic reproductive ratio for Japanese Encephalitis transmission in the Philippines using a sequential Monte Carlo filter", First IEEE Conference on Control Technology and Applications, Kohala Coast, Hawaii,  2017
  3. Sekamatte M, Riad MH, Tekleghiorghis T, Linthicum KJ, Britch SC, Richt JA, Gonzalez JP, Scoglio CM. Individual-based network model for Rift Valley fever in Kabale District, Uganda. PloS one. 2019 Mar 5;14(3):e0202721.
  4. Riad MH, Scoglio CM, Cohnstaedt LW, McVey DS. Short-term forecast and dual state-parameter estimation for Japanese Encephalitis transmission using ensemble Kalman filter. In2019 American Control Conference (ACC) 2019 Jul 10 (pp. 3444-3449). IEEE.
  5. Riad, MH., Sekamatte, M., Ocom, F. et al. Risk assessment of Ebola virus disease spreading in Uganda using a two-layer temporal network. Sci Rep 9, 16060 (2019) doi:10.1038/s41598-019-52501-1.
  6. Scoglio CM, Bosca C, Riad MH, Sahneh FD, Britch SC, Cohnstaedt LW, Linthicum KJ. Biologically Informed Individual-Based Network Model for Rift Valley Fever in the US and Evaluation of Mitigation Strategies. PloS one. 2016 Sep 23;11(9):e0162759.
  7. Simon AA, Riad MM, Ahmed E, Ahmed SS. On site oil test for a transformer using sweep frequency response analysis. InElectrical and Computer Engineering (ICECE), 2014 International Conference on 2014 Dec 20 (pp. 85-87). IEEE.

Presentations

  1. Riad MH, "An individual-level network model for a hypothetical outbreak of Japanese Encephalitis in USA", 2016, Oregon State University, Corvalis, Oregon.
  2. Riad MH, "Estimation of parameters and basic reproductive ratio for Japanese Encephalitis transmission in the Philippines using a sequential Monte Carlo filter", 2017, Kohala Coast, Hawaii
  3. Riad MH, "Individual-based Network Model for Japanese Encephalitis (JE)", 2016, USDA, Manhattan, Kansas.

Poster

  1. Sahneh FD, Bosca C, Riad MH, Britch SC, Linthicum KJ, Cohnstaedt LW, Scoglio CM, "Testing intervention for a scenario of Rift Valley Fever in the US using an individual-based network model", 2015, CEEZAD