Jin Fang

Headshot of Jin Fang

On The Job Market

PhD Advisors: Fariborz Partovi
Dissertation Title: Service and Manufacturing Decision Making using Social Network Analysis and Topic Modeling

Education

Ph.D., Operations and Business Analytics (Expected June 2021; Proposal defended on September 29th, 2020)
Department of Decision Sciences and MIS, LeBow College of Business
Drexel University, Philadelphia, PA

Graduate Minor, Computer Science (Expected June 2021)
Department of Computer Science, College of Computing and Informatics
Drexel University, Philadelphia, PA

M.A., Statistics (December 2015)
Columbia University, New York, NY

B.S., Statistics (June 2014)
University of Science and Technology of China, Anhui, China

Research

Publications
Fang, Jin, and Partovi, F. Y., Criteria Determination of Analytic Hierarchy Process using A Topic Model. Expert Systems with Applications, forthcoming.

Fang, Jin, and Partovi, F. Y., A Hits-Based Model for Facility Location Decision. Expert Systems with Applications 159 (Nov 2020).

Proceedings
Fang, Jin, and Partovi, F. Y., Improved Group Decisions for Hotel Selection in the Analytic Hierarchy Process. 2020 Northeast Decision Sciences Conference Proceedings, page 305, 2020.

Working Papers
Fang, Jin, and Partovi, F. Y., Manufacturing Technology Investment. (Targeted to the special issue of Production and Operations Management Journal “Business Analytics: Emerging Practice and Research Issues)

Conference Presentations
Fang, J. (Presenting Author), Partovi, F., “Criteria Determination of Analytic Hierarchy Process using A Topic Model (Updated Version).”, Decision Sciences Institute (DSI) 2020 Annual Conference, Virtual, Nov. 2020.
Fang, J. (Presenting Author), Partovi, F., “Criteria Determination of Analytic Hierarchy Process using A Topic Model.”, INFORMS Annual Meeting 2020, Virtual, Nov. 2020.
Fang, J. (Presenting Author), Partovi, F., “Improved Group Decisions for Hotel Selection in the Analytic Hierarchy Process.”, Northeast Decision Sciences Institute (NEDSI) 2020 Conference, Cambridge, MA, Mar. 2020.
Fang, J. (Presenting Author), Partovi, F., “A HITS-based Model for Location Decision (Updated Version).”, Decision Sciences Institute (DSI) 2019 Conference, New Orleans, LA, Nov. 2019.
Fang, J. (Presenting Author), Partovi, F., “A HITS-based Model for Location Decision.”, Northeast Decision Sciences Institute (NEDSI) 2019 Conference, Philadelphia, PA, Apr. 2019.
Fang, J. (Presenting Author), Liu, C., Zhu, Y., “Sequence Clustering with Temporal Graph and Sequence Recovery.”, INFORMS Workshop on Data Science 2018, Phoenix, AZ, Nov. 2018.

Teaching Experience

Drexel University, Philadelphia, PA
Instructor
BSAN 360 – Programming for Data Analytics, Winter 2020
BSAN 260 – Introduction to Business Analytics, Fall 2019
MIS 200 – Management Information Systems, Summer 2019

Recitation Instructor, Winter and Spring 2019
Six sections of MIS 200 – Management Information Systems

Teaching Assistant
OPM 200 – Operations Management, Fall 2016
OPM 315 – Service Operations Management, Summer 2020
OPM 324 - Operations Planning, Fall 2020
OPM 325 – Planning and control of Operations, Winter 2017
OPR 330 – Advanced Decision Making and Simulation, Winter 2017
MIS 200 – Management Information Systems, Winter and Spring 2019
BUSN 480 – Programming for Data Analytics, Spring 2017
POM 510 – Operations and Supply Chain Management, Spring and Fall 2020
POM 624 – Management of Service Firms, Spring 2020
STAT 201 – Introduction to Business Statistics, Winter 2018
STAT 202 – Business Statistics II, Summer 2020
STAT 205 – Statistical Inference I, Spring 2017
STAT 206 – Statistical Inference II, Summer 2020
STAT 325 – Six-Sigma Quality Implementation, Spring 2020
STAT 510 – Introduction to Statistics for Business Analytics, Spring 2018
STAT 601 – Business Statistics, Winter 2018
STAT 630 – Multivariate Analysis, Winter 2018
STAT 632 – Data mining for Managers, Winter 2018
STAT 642 – Data mining for Business Analytics, Spring 2018
STAT 931 – Statistics for Economics, Fall 2017 and Fall 2018

Undergraduate Tutor, Spring and Summer 2017
STAT 201 – Introduction to Business Statistics
STAT 202 – Business Statistics II
OPM 200 – Operations Management

Awards/Honors

Best Application of Theory Award, NEDSI 2020 Conference, Boston, 2020
Best PhD Student Paper Award, NEDSI 2020 Conference, Boston, 2020
Best Application of Theory Award, NEDSI 2019 Conference, Philadelphia, 2019
Best PhD Student Paper Award, NEDSI 2019 Conference, Philadelphia, 2019
Regional Best Paper Award Finalist, DSI 2019 Conference, New Orleans, 2019
Doctoral Assistantship, LeBow College of Business, Drexel University, 2016 – 2021
Department Award, Decision Sciences and MIS, Drexel University, 2016 – 2021

Enter the Research Conversation

How can a business select a facility location considering both location characteristics and rival effects within a business cluster?