cv

PhD in Computer Engineering

• Dissertation
  • Computational Models and Tools for Analysis, Prediction, and Control of Infectious Diseases
  • PDF Link
• Courses
  • Co-Taught 'Introduction to Blockchains' as a part of the graduate course curriculum.
  • Took courses on Analysis of Algorithms, Multivariate Statistical Methods, Agent-Based Game Theory, Network Theory, Machine Learning and Pattern Recognition, etc.

BSc in Electrical and Electronic Engineering

• Dissertation on "Design of a honeycomb all solid photonic bandgap fiber for a wide visible region"
• Courses on Solid State Devices, Control Systems, Microwave Engineering, Digital Signal Processing, VLSI, Microprocessor and Interfacing, Numerical Computing, etc.

Postdoctoral Research Associate

• A CyberInfrastructure for Network Engineering and Science (CINES)
  • Developed graph analytics tools capable of large-scale computations (~10^6 nodes/edges) in a software as a service (SaaS) architecture using HPC backend.
  • Mentored a student in developing a financial contagion simulator using the Eisenberg-Noe model to evaluate the impact of bailout strategies in reducing cascading failures in bank lending networks.
• AI Institute for Transforming Workforce & Decision Support (AgAID)
  • Developed an explainable AI (XAI) framework for geospatial data using Shapley analysis in combination with supervised (random forest) and unsupervised (k-means clustering) learning. The framework was used to evaluate the impact of climate change on water availability and crop yield in the Western United States.
  • Designed and deployed a high performance computing pipeline for automated preprocessing, batch job submission, monitoring, and postprocessing of VIC-CropSyst simulation in UVA’s Rivanna HPC clusters
  • Mentored a student to develop an Asymmetric Nash Bargaining framework to model negotiations among California, Arizona, and Nevada to curtail the usage of Colorado River’s water.
  • Developed an integer linear programming (ILP) optimizer using Gurobi for matching buyers and sellers in bipartite networks representing river water rights markets.

Graduate Research Assistant

• Network Epidemic Models
  • Designed and developed a hybrid compartmental agent-based model to simulate the spread of Zika virus using both vectored and sexual transmission mechanisms in a sexual contact network.
  • Developed a network epidemic model to simulate African Swine Fever (ASF) virus spread in US swine movement networks.
• Graph Miningn
  • Designed a graph generation model to generate random graph for sexual contact among adult population based on agregate data on sexual behavior in the USA.
  • Designed a graph generation model that combines multiple aggregate datasets to produce animal movement graphs in the USA.
• Machine Learning
  • Developed a feature selection framework to improve the performance of predicting time series data for weekly dengue cases when training data is inadequate.
• Blockchain
  • Designed a blockchain-based distributed data management system for US beef cattle supply chains using Ethereum smart contracts.
• Data Analytics as a Service
  • Developed a web-based dashboard to visualize data, run simulations, and analyze results of dengue risk forecasts with a map interface using leaflet.js and PostGIS.

Senior Software Engineer

• Led and managed a team of 5 to provide software quality assurance (SQA) for IoT applications in an Agile workflow. Deliverables included source code analysis, review, and unit/integration/compliance tests.
• Developed an IoTivity-compliant client by expanding a Constrained Application Protocol (CoAP) framework to test protocol compliance of the IoTivity framework.
• Implemented and maintained a TURN-based NAT traversal solution to establish peer to peer connections using relay servers to connect hosts to enable remote access and control of devices.
• Developed test frameworks for unit and integration testing of Tizen mobile OS APIs.

Research Engineer

• Conducted workshops on embedded systems as a teaching assistant. Prepared teaching materials on FPGA, Verilog, and Microcontrollers.

• Advanced Level in Samsung Software Certification Test

• Grade 1 in annual performance evaluation at Samsung

• Placed 1st in Solution Lab of Samsung R&D Institute Bangladesh in Software Capability Test

• Merit scholarships for being ranked 1st out of 84 enrolled students in the Cisco Networking Academy Program (CNAP) at BUET (2010-2011) in the CCNA Exploration 4.0 course

• Dean's List Award from Bangladesh University of Engineering and Technology (BUET)