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Data Scientist

Location:
Houston, Texas, United States
Posted:
March 14, 2018

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Resume:

Saeedeh Abbasi

Graduate Research and Teaching Assistant University of Houston, TX, 77204

Phone: 832-***-**** Email: ac4s96@r.postjobfree.com linkedin.com/in/saeedeh-abbasi Page 1 2

- OPERATIONS RESEARCH SCIENTIST -- -

Highly organized and innovative Data scientist with a strong knowledge of linear/non-linear/integer programming and stochastic/robust optimization. Capable of developing new solutions and interpretations. CORE COMPETENCIES -

Statistical modeling, predictive analytics, data analysis, data mining and machine learning for large-scale data.

Advanced optimization and modeling under uncertainty, including multi-objective models. EDUCATION -

University of Houston, TX, Ph.D. in Industrial Engineering-Operations Research, GPA: 3.80 May 2018 Ph.D. research: An optimization framework for a resilience-based power system restoration

Shiraz University, Iran, M.S. in Information Technology Engineering-E-Commerce June 2012 Master Thesis: Fuzzy clustering on occupational healthcare data (analyzed 10GB of healthcare data)

Iran University of Science and Technology, Iran, B.S. of Industrial Engineering Dec 2005 SKILLS -

Programming languages (Windows/Linux): C++, Java, Python, VBA, MATLAB, SQL, Shell Bash Script.

Application Software: R, Auto Cad, GAMS, MS Project, SPSS, Minitab, Latex, CPLEX. WORK EXPERIENCE -

University of Houston, Teaching fellow. Jan 2018 – Present

Taught Human Factors and Ergonomics.

University of Houston, research and teaching assistantship. Aug 2014 – Dec 2017

Taught technical software for Computer Aided Drafting, Computer Application for IE, Engineering Statistics I/II.

Assisted following subjects: Supply Chain Management, Human Factors Systems, and Project Control.

Developed optimization framework includes predictive and prescriptive models; published via four papers. Iran Khodro, Auto Maker, Iran, System and Process Engineering. Aug 2008 – Aug 2014

Proposed a product-distribution model by analyzing 730k deliveries which saved 30%.

Led more than 40 project groups towards company’s objectives; resulted in 10% cost reduction.

Mentored 100 employees in 3 groups with basic and professional strategic management materials. FULMEN, Power Substation EPC Contractor, Iran, Project Management. Dec 2005 – Apr 2008

Conducted 30 monthly progress meetings for top-level managers; collaborated with 60 projects’ members.

Scheduled and planned for 12 projects to be run perfectly in time (Engineering/Procurement/Construction phase).

Monitored and analytically reported projects’ progress to facilitate leaders’ real-time decision making.

CERTIFICATE -

High performance computing (HPC) certificate from UH. March 2018 AWARDS AND HONORS -

Best paper award for the Energy System Division of IIE 2017. May 2017

Scott T. Poage Matching, SIAWE, and UH IE Dept. Scholarships. May 2014 – May 2017 Saeedeh Abbasi

Graduate Research and Teaching Assistant University of Houston, TX, 77204 Phone: 832-***-**** Email: ac4s96@r.postjobfree.com linkedin.com/in/saeedeh-abbasi Page 2 2

PROJECTS -

Spectral Clustering with Eigenvectors Selection. May 2016

Stochastic bi-level MIP for optimal bidding strategies in day-ahead electricity markets. Oct 2015

Design for lean manufacturing on Hardy corporation machine layout. Nov 2014

Application of a modified lagrangian method to solve a financial portfolio management problem. Nov 2014 PUBLICATIONS -

S. Abbasi, M. Barati, and G. Lim, 2017, “A Multi-objective MPEC Model for Disaster Management of Power System Restoration”, In IIE Annual Conference Proceedings. IISE (best paper award).

S. Abbasi, M. Barati, and G. Lim, 2017, “A Parallel Sectionalized Restoration Scheme for Resilient Smart Grid Systems”, IEEE Transactions on Smart Grid (accepted).

S. Abbasi, M. Barati, and G. Lim, 2017, “A GPP-Based Sectionalization toward a Fast Power Transmission System Restoration”, In International Conference on Applied Human Factors and Ergonomics, pp. 11-21, Springer.

S. Abbasi, M. Barati, and G. Lim, 2017, “A Simplified Parallel Power System Restoration for Large-scale Transmission Grids”, Transmission and Distribution Conference and Exposition (T&D), IEEE/PES (accepted).

S. Abbasi, M. Barati, and G. Lim, 2018, “Robust Optimization on Power System Restoration Following a Hurricane”, In IIE Annual Conference Proceedings. IISE (submitted).

S. Abbasi, M. Barati, and G. Lim, 2017, “A Resilience-oriented Power System Restoration through Graph Partitioning Approach”, IEEE Transactions on Smart Grid (working paper).

S. Abbasi, G. Lim, and M. Barati, 2017, “Robust Community Detection in Networks” (working paper). CONFERENCE PRESENTATIONS -

S. Abbasi, M. Barati, and G. Lim, “Maximizing Resilience of Transmission Power Grids through a Bi-level Restoration Model,” INFORMS Annual Meeting, Houston, TX, Oct 2017.

S. Abbasi, M. Barati, and G. Lim, “A GPP-Based Sectionalization toward a Fast Power Transmission System Restoration,” International Conference on Applied Human Factors and Ergonomics, LA, CA, April 2017.

S. Abbasi, M. Barati, and G. Lim, “A Multi-objective MPEC Model for Disaster Management of Power System Restoration,” IIE Annual Conference, Pittsburgh, PA, May 2017.

S. Abbasi, M. Barati, and G. Lim, “Resilience-Based Power System Restoration on Sectionalized Grid,” INFORMS Annual Meeting, Nashville, TN, Nov 2016.

S. Abbasi, M. Barati, and G. Lim, “A Sectionalizing Strategy of Resilience Assessment in Electric Power Grid Restoration,” IIE Annual Conference, Anaheim, CA, May 2016.



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