Khalid Ahmed Email & Phone Number

Dearborn, Michigan, US

Data Science Manager at Ford Motor Company, leading a team of 25 Data Scientists & Engineers on Global, Connected, and Electrified Powertrains. Developing predictive models to detect quality concerns before any customer impact and establishing processes to provide quick resolution for customers.

Dearborn, Michigan, US

Lead team of data scientists and powertrain engineers working on various upcoming electric products. Provide technical expertise in using connected vehicle data for cost savings and development of new connected features in vehicles with electric and electrified powertrains.

Dearborn, Michigan, US

Analysis of billions of trip data summaries of hybrid electric vehicles using Big Data methodologies to develop an insight for the design of future vehicles. Work with billions of data points using pandas, scikit-learn in the Python framework and Spark, HiveQL in the Hadoop ecosystem.

Ann Arbor, Michigan, US

• Developed Monte-Carlo simulations on Graphics Processing Units (GPUs) and multi-core CPUs to enable 30x faster simulations than traditional CPUs. Wrote parallel programs using CUDA, OpenMP and MPI for C/C++ and.
• Studied self-assembly of novel concave and convex spheroidal building blocks into reconfigurable target crystal structures, by means of depletion interactions
• Participated in experimental collaborations for understanding networks formed by colloidal chains and the effect of chain length on rheology

Ann Arbor, Michigan, US

- Consultant and teaching mentor to the Graduate Student Instructor population in the College ofEngineering – with a passion for data-driven consulting, resulting in relationships rather than cases- Engaged with the Center for Research in Learning and Teaching (CRLT) to improve teachingeffectiveness through mentoring instructors in a facilitative way, with.

Ann Arbor, Michigan, US

• Taught discussion sessions on Fluid Mechanics twice a week for two classes of 50 students each
• Prepared exam and homework problem sets based on higher levels of Bloom’s Taxonomy, along withsolutions.
• Encouraged teamwork by using active learning techniques among students

Stuttgart, DE

• Research in the field of Microfluidics was conducted at the Institute for Computational Physics, along with Dr. Martin Hecht.
• Developed a novel velocity boundary condition for meso-scale lattice Boltzmann simulations of micro flows, by writing modules for programs in FORTRAN
• Obtained superior second order accuracy at the boundary nodes with no artificial slip The results have been published in the Journal of Statistical Mechanics. (http://www.ica1.uni-stuttgart.de/~icp/Publications#2009)

• Developed lattice Boltzmann simulations using C++ for contact angle studies of fluid flow on hydrophobic surfaces
• Performed thermodynamic calculations to study the puzzling existence of nanobubbles on hydrophobic surfacesAn understanding of the basics of Lattice Boltzmann method was also taken up and thus fluid flow past solid.

Executive Mba

Doctor Of Philosophy (Phd), Chemical Engineering

Computational Science, Computational Science

Master'S Degree, Chemical Engineering

B. Tech., Chemical Engineering

Aissce, English, Physics, Chemistry, Math, Informatics Practices