Assistant Python

ASHISH CHANDRA

Kran ***, Krannert School of Management, Purdue University, West Lafayette, IN 47907

****************@*****.*** j LinkedIn j +1-765-***-**** EDUCATION

Purdue University, Krannert School of Management West Lafayette, IN 5th

Year PhD student in Management Science with ECE Minor Aug 2016 - current Quantitative Methods area (GPA 3.89/4.0)

Indian Institute of Technology - Bombay Mumbai - India MS in Operations Research (GPA 9.15/10.0) July 2013 - Dec 2015 UM-DAE Centre for Excellence in Basic Sciences Mumbai - India Bachelor of Science in Mathematics (GPA 8.54/10.0) Aug 2010 - July 2013 SKILLS

Programming Languages : Python (pro cient), MATLAB, C/C++ and Java Optimization : GAMS, CPLEX, Gurobi, and MOSEK

Softwares : Simulation Modeling via AnyLogic, Minitab Optimization Modeling, Risk analysis & Monte Carlo Simulation in Microsoft Excel. Certi cations : Neural networks & Deep learning - Coursera RESEARCH EXPERIENCE

Krannert School of Management, Purdue University under Prof. Mohit Tawarmalani Aug 2016 - current Continuing PhD student: Optimization Techniques For Probability Estimation

Developed novel mixed integer nonlinear optimization techniques to estimate rare event probability

Formulated and implemented a new polynomial time approximate counting algorithm to assist the probability estimation.

Applied the ideas to Network reliability problem to nd probability of link failures resulting in high network utilization.

Prepared and submitted technical reports, presentations and scienti c papers.

Indian Institute of Technology Mumbai, India under Prof. Veeraruna Kavitha Jan - April 2016 Research Assistant : Brownian motion on one dimensional gird with random deletions points

Conducted literature review on simple random walks done on Voronoi tiling networks.

Computed e ciency measures of a Brownian Motion done on integers with random deletions.

Explored analogies and applications of these Brownian Motions in mobile network communications, which were used to study the variations in the signal strength received by a mobile user moving in a one dimensional grid.

INRIA Sophia Antipolis - M editerran ee, France under Prof. Konstantin Avratchenkov May - July 2015 Student Research Internship: Random Walks with restarts and applications in optimization

Collaborated on globally optimizing polynomials using the concept of random walk with restarts.

Computed & compared the expected time of convergence to the global optima using the simple line search method and the proposed method of line search combined with random restarts.

Theoretically derived and veri ed via simulations the expression for the optimal restart probability, for which the proposed algorithm converged the fastest.

PUBLICATIONS

Chandra, Ashish, Tawarmalani, M. "Optimization techniques for probability estimation". Submitted to Mathematical Programming, May 2020.

Chang, Y., Jiang, C., Chandra, Ashish, Rao, S., & Tawarmalani, M. \Lancet: Better network resilience by designing for pruned failure sets", Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2019. HONORS AND AWARDS

Academic Scholarships

Charpak Scholarship, French Government May - July 2015

Summer Research Fellowship

National Program on Di erential Equations - Theory, Computation & Applications, India May - June 2013 Indian Academy of Sciences May - June 2012

Innovation in Science Pursuit for Inspired Research - INSPIRE Fellowship, Govt. of India Aug-2010 - April-2013

Teaching Awards

Krannert Certi cate for Distinguished Teaching, MGMT 30500 - Business Statistics May- June 2019

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