Elodie Adida (Goodman)


Assistant Professor
Department of Mechanical and Industrial Engineering
University of Illinois at Chicago

Education: Ph.D. in Operations Research from MIT in June 2006 under the supervision of Prof. Georgia Perakis from the Sloan School of Management.

My CV.

Research interests:
Methodology: mathematical programming, game theory and equilibria, nonlinear dynamic optimization, robust optimization, and control problems.
Applications: supply chain management, coordination, pricing, inventory management, health care, public policy, transportation. I am interested in mathematically modeling decision-making problems that arise not only in supply chains, revenue management and pricing, but also in health care and medical applications such as vaccine supply chain, disaster response planning and transportation or in other areas where mathematical analysis and optimization can have a significant impact.



Courses taught at UIC:


Graduate students supervised:


Publications:
Journal Papers under review and working papers:


Teaching:

Fall 2007, Spring 2008, Fall 2008, Spring 2009: Instructor, IE 201 Financial Engineering at UIC.
Course for undergraduate students. Principles and techniques of economic analysis in engineering and management science. Basic probability theory and decision problems under risk and uncertainty. The most recent syllabus can be found here.

Fall 2006, Spring 2007, Summer 2010, Fall 2010, Spring 2012: Instructor, IE 342 Probability and Statistics for Engineers at UIC.
Introductory course for undergraduate students with Engineering majors. Probability, random variables, mathematical expectation, discrete and continuous distributions, estimation theory, test of hypothesis, and introduction to standard experimental designs. The most recent syllabus can be found here.

Fall 2008, Fall 2009, Fall 2010, Fall 2011: Instructor, IE 471 Operations Research I at UIC.
Course for undergraduate and Masters students. Introduction to operations research, formulation of linear programming problems, simplex methods, duality theory, sensitivity analysis, network models, and integer linear programming. The current syllabus can be found here.

Fall 2009, Fall 2011: Instructor, IE 576 Nonlinear Optimization at UIC.
Course for graduate Masters and PhD students. Convex analysis, line search techniques, unconstrained and constrained optimization, optimality conditions, duality, convex and nonconvex optimization, interior point methods, and real-world applications. The current syllabus can be found here.

Spring 2005: Teaching Assistant, 6.041/6.431 Probabilistic Systems Analysis & Applied Probability at MIT, taught by Muriel Medard. I was paired up with recitation instructor Pablo Parrilo for the graduate students section of the course.
Introductory course on probability for undergraduate and graduate students.

Fall 2004: Teaching Assistant, 15.060 Data, Models, and Decisions at MIT Sloan School of Management, section taught by Robert Freund.
Core curriculum course on the fundamental techniques of using data to make informed management decisions for first year MBA students, including the basics of decision analysis, probability, statistics, regression, and optimization. Some of the teaching is done via case studies.



Seminar Presentations:


Conference Presentations:



Elodie Adida (Goodman)
Department of Mechanical and Industrial Engineering (M/C 251)
University of Illinois at Chicago
3025 Engineering Research Facility
842 W. Taylor Street, Chicago, Illinois 60607

Phone: (312) 996-8777
Email: elodie@uic.edu
Web page last updated on January 13, 2012.