Amit Kumar

Research Scientist I, Center for Quality Growth and Regional Development
amit.kumar@coa.gatech.edu
(404) 385-5121

Click here to view Kumar's CV. 

Biography

Amit Kumar is a research scientist at the Center for Quality Growth & Regional Development in the College of Architecture at Georgia Tech. He received his Ph.D. in Transportation and Infrastructure Systems from Purdue University in 2014 and holds a master’s degree in Transportation Systems Engineering from the Indian Institute of Technology Bombay, India. He received his Bachelor’s degree in civil engineering from MIT Muzaffarpur, India. Before joining Georgia Tech he worked as the research Associate in Discovery Park at Purdue University.

Educational Background

2004 – Bachelor of Science in Civil Engineering, MIT Muzaffarpur, India

2006 – Master of Technology, Indian Institute of Technology, Bombay, India

2014 – Ph.D. (Transportation and Infrastructure Systems), Purdue University – West Lafayette

Research

Transportation Planning and Transportation Systems Analysis: traffic assignment techniques especially for the static demand case, day-to-day dynamical model for traffic disequilibrium, concept of entropy and its application in transportation planning, discrete choice models, network optimization techniques, system-of-systems based approach for modeling the infrastructure interdependencies.

Intelligent Transportation Systems: real-time information system for public transport, electronic toll collection, multi-sensor data fusion, traffic surveillance and incident management.

Sustainable Transportation: Smart growth, electric vehicles and their impact on transportation system performance.

Transportation Systems Evaluation: transportation infrastructure development process, methodologies of economic evaluation of transportation projects, multi-criteria based decision making process.

Operations Research: linear, non-linear and multi-objective optimization problem solving techniques, non-smooth optimization techniques.

Data Analysis: statistical data analysis and sampling techniques, design of experiment, stated preference survey questionnaire design, econometric modeling techniques.

Computer Programming and Software Design: programming for network optimization problems, coding traffic assignment algorithms, programming that combines the capabilities of MATLAB as well as C, codes of day-to-day dynamical evolutionary models using C++, parallel processing, cluster computing and GPU computing techniques.