Jabia Mostofa Chowdhury

Department of Electrical and Computer Engineering, The University of Memphis Phone: 901-***-**** E-mail: adiuc2@r.postjobfree.com EDUCATION Ph.D. in Computer Engineering (continuing student, GPA: 3.86) M.S. in Computer Engineering (May 2018; GPA: 3.96) Thesis: Computational Modelling Of Aqueous Humor Dynamics And Drug Delivery For Intraocular Pressure Control In Glaucoma The University of Memphis, Memphis, TN

B.S. in Electrical and Electronics Engineer

BRAC University, Dhaka, Bangladesh

PROFESSIONAL

EXPERIENCE

Graduate Assistant, University of Memphis (Spring 2016 to Present)

• 2D/3D Geometric Modeling using CAD software.

• Simulation: Computational modeling of 1) fluid- structure interaction (FSI) 2) drug delivery model solving with mass transport physics and 3) heat transfer problem 4) couple other physics interface like Darcy’s law 5) PK- PD(Pharmacokinetic and pharmacodynamics) model introduce to evaluate the drug study through Porous media.

• Data analysis using MATLAB.

• Regression analysis and its application for solving problems with R and Python. Experimental experience:

o Handling and preparing biological ocular tissue samples for experiments o Using Optical Coherence Tomography (OCT) techniques for imaging and analysis of various parts of the eye.

• Teaching Duties:

o Course number: EECE 3201 [Fall 2017 – current semester] o Course title: Circuit Analysis II (Lab sections)

• Grading Duties:

o Course number and title: EECE 3201, Circuit Analysis II EECE 3211, Electronics I

System Analyst, UMRF Ventures, Summer Intern 2018, Memphis, TN

• On boarded FedEx applications in Splunk and processed data using PDSM and GIT lab.

• Worked with large data and monitored notable events to promptly resolve the ongoing issue.

• Analyzed opportunities to work efficiently to minimize turnover time invested in resolving problems

Intern, Peer Power Foundation (Non-profit organization), Summer 2016, Memphis, TN

• Experimented on new ideas of teaching, developed interpersonal and communication skills and handling students.

• Established group leadership, practice effective communication, Multidisciplinary team building as well as proactive and problem-solving skills. Residential Electrical Engineer, Institute of Water Modelling, Dhaka, Bangladesh (Mar 2013 to Dec 2014)

• Successfully prepared Bid Documents / Proposals for a big government project as effective team member with a KOREAN Consultant farm and won the bid.

• Designed electrical drawing using Autodesk Inventor, and prepared product reports by collecting, analyzing and summarizing information.

• Having data analysis skills and attended educational workshops for strong data analytical skills.

Associate, Engineering Department, SSL Wireless, (Mar 2012 to Feb 2013)

• Provided networking, hardware and software support to more than 100 working agents with HSBC Bank under my group.

• Monitored server, network infrastructure, and software system panel

• Provided technical support to client, troubleshot network related issue collaborating with network architects and network optimization.

• Experience and business knowledge in e-commerce technology and applications.

• Working as e team leader of support engineer and train them with technical expertise.

RESEARCH

PUBLICATIONS

1. Chowdhury J, Balasubramanian M, “A New Physiologically based Pharmacokinetic (PBPK)-Pharmacodynamic (PD) Model for Assessing Efficacy of Glaucoma Medication’’ Ophthalmology (ARVO), Annual Meeting, May 2020. 2. Chowdhury J, Balasubramanian M, “Computational Modelling of Aqueous Humor Dynamics and Drug Delivery for Intraocular Pressure Control in Glaucoma”, Association for Research in Vision and Ophthalmology (ARVO), Annual Meeting, May 2018.

3. Balasubramanian M, Chowdhury J, Rajaraman S, Wasi AU, “Ex vivo Imaging of Formalin Fixed Ocular Tissues using Spectral Domain OCT”, ARVO Imaging in the Eye Conference, May 2017

COMPUTATIONAL

SKILLS

Programming Languages: Python, MATLAB, Excel, R

Scientific Tools: COMSOL, Autodesk Inventor, AutoCAD Computational Techniques: Finite difference, learning finite volume SELECTED

GRADUATE

COURSEWORK

Physically Based Animation, Linear System Analysis, Computer Vision, Biomedical Engineering Analysis I, Machine learning, Computational Fluid dynamics, Machine learning.

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