Student Profiles

Mohsen Ahmadian

MBA, Sharif University of Technology

Mohsen’s research interests are in the areas of behavioral operations management, decision making, consumer behavior, and business analytics. Before joining UMass Boston, Mohsen worked for three years as Business Intelligence expert in banking and payments, where he was involved in designing and implementing BI software and systems, including data driven decision support systems. He was the recipient of the NEDSI 2018 best paper award and has won the best PhD student presentation award in The Global Interdisciplinary Conference 2018 and NEDSI 2017 (second place). Mohsen studied MBA at Sharif University of Technology and received his BSc degree in mechanical engineering from the same university.

Publications & Working Papers

Ahmadian, M., Elahi, E., & Blake, R. (2018). A Behavioral Study of Supplier Competition. Manuscript submitted for publication (Second Round Review).

Ahmadian, M., Blake, R., & Elahi, E. (2018, April). Suppliers Learning: Aggregate and Individual Levels. In NEDSI.

Nasirian, F., Ahmadian, M., & One-Ki (Daniel) Lee. (2017, July). AI-Based Voice Assistant Systems: Evaluating from the Interaction and Trust Perspectives. In AMCIS.

Conference Participation & Presentations

Ahmadian, M., Blake, R., & Elahi, E. (2018). Rival-Chasing Behavior in Simultaneous Competitions. Institute for Operations Research and the Management Sciences (INFORMS), Phoenix, Arizona, USA, November 4-7, 2018.

Ahmadian, M., Blake, R., & Elahi, E. (2018). Suppliers’ Learning: Aggregate and Individual Levels. European Conference on Operational Research, Valencia, Spain, July 8-11, 2018.

Ahmadian, M., Blake, R., & Elahi, E. (2018). Suppliers’ Learning: Aggregate and Individual Levels. The Global Interdisciplinary Conference: Green Cities, Business, Engineering, Architecture, Design, & Technology, Nancy, France, June 27-30, 2018.

Ahmadian, M., Blake, R., & Elahi, E. (2018). Suppliers’ Learning: Aggregate and Individual Levels. Northeast Decision Sciences Institute Conference (NEDSI), Providence, Rhode Island, USA, April 12-14, 2018.

Ahmadian, M., Blake, R., & Elahi, E. (2017). Suppliers’ Learning in Supply Chain Competition. Institute for Operations Research and the Management Sciences (INFORMS), Huston, Texas, USA, October 22-25, 2017.

Nasirian, F., Ahmadian, M., & One-Ki (Daniel) Lee. (2017). AI-Based Voice Assistant Systems: Evaluating from the Interaction and Trust Perspectives. Americas Conference on Information Systems (AMCIS), Boston, Massachusetts, USA, August 10-12, 2017.

Ahmadian, M., Blake, R., & Elahi, E. (2017). Suppliers’ Learning in Supply Chain Competition. Northeast Decision Sciences Institute Conference (NEDSI), Springfield, Massachusetts, USA, March 22-25, 2017.

Honors and Awards

Best PhD Student Presentation Award, The Global Interdisciplinary Conference: Green Cities, Business, Engineering, Architecture, Design, & Technology, Nancy, France, June 2018.

Best Paper Award in Application of Theory, Northeast Decision Sciences Institute Conference (NEDSI), Providence, Rhode Island, USA, April 2018.

Second Place, Best PhD Student Presentation Award, Northeast Decision Sciences Institute Conference (NEDSI), Springfield, Massachusetts, USA, March 2017.

 

Don Jenkins

MS in Operations Analysis, Naval Postgraduate School Monterey

Don has a dual BS/BA Electrical Engineering degree from the University of San Diego, and an MS Operations Analysis degree from the Naval Postgraduate School Monterey, where he completed his thesis on data mining for fraud detection in the Defense Finance and Accounting Service. Previously a US Naval Submarine Officer, Don served 22 years in both the US Navy and Marine Corps before retiring from active duty in 2007. Don then joined EnerNOC, a cleantech energy services company based in Boston, where he has led global teams that implement, deliver, and support EnerNOC’s suite of Energy Advisory Solutions. Don has led teams delivering services to clients in more than 100 countries, always acting as a tireless data champion, driving the collection and intelligent application of high quality data to change how customers use energy. He is hoping to enhance those experiences while earning his PhD at UMass Boston.

 

Carol Lee

MS, Business Analytics, Northeastern University

Prior to obtaining her master's degree, Carol was an assistant vice president at Citigroup developing trading, investment, and accounting platforms. She has consulted for numerous startups in the Boston area. She currently serves on the Northeastern Young Alumni Board and is an elected member of the Startup Institute Alumni Committee. Carol holds a MS in business analytics and a BS in computer science and information science (dual major) from Northeastern University. She was a research assistant at the Northeastern D'Amore-McKim School of Business in information management. She has published conference proceedings related to health care information systems and data management for the European Conference on Information Systems and International Conference on Information Quality. Her current research interests include business analytics, data quality, information strategies, and knowledge management.

Publications

Bharati, Pratyush; Lee, Carol; and Syed, Romilla, “Trolls and Social Movement Participation: An Empirical Investigation”, Proceedings of the 24th Americas Conference on Information Systems (AMCIS), New Orleans, LA, August 16-18, 2018. (*Authors have contributed equally to the paper)
Bharati, Pratyush; Lee, Carol; and Syed, Romilla, “Influence of Trolls on Social Media Participation: Investigating a Social Movement”, Proceedings of the 23rd Americas Conference on Information Systems (AMCIS), Boston, MA, August 10-13, 2017. (*Authors have contributed equally to the paper)
Lee, Carol; Rahafrooz, Maryam; and Lee, Daniel, “What are the Concerns of Using a Ride-Sharing Service?: An Investigation of Uber”, Proceedings of the 23rd Americas Conference on Information Systems (AMCIS), Boston, MA, August 10-13, 2017.

Conference presentations

24th Americas Conference on Information Systems (AMCIS 2018), 16-18 August, New Orleans, Louisiana, United States. “Trolls and Social Movement Participation: An Empirical Investigation” Bharati, P., Lee, C., & Syed, R. (2017). (Poster Session)
23rd Americas Conference on Information Systems (AMCIS 2017), 10-12 August, Boston, Massachusetts, United States. “Influence of Trolls on Social Media Participation: Investigating a Social Movement” Bharati, P., Lee, C., & Syed, R. (2017). (Sole Presenter)
23rd Americas Conference on Information Systems (AMCIS 2017), 10-12 August, Boston, Massachusetts, United States. “What are the Concerns of Using a Ride-Sharing Service?: An Investigation of Uber” Lee, C., Rahafrooz, M., & Lee, O. K. D. (2017). (Sole Presenter)

 

Farzaneh Nasirian

MS, Industrial Engineering, Ferdowsi University of Mashhad

Farzaneh Nasirian graduated from Ferdowsi Uni. Of Mashhad (FUM) in the field of industrial engineering (IE). During her undergraduate studies she received the top GPA among IE students. Her interests in decision making brought about her focus on operation research skills and data science.

Conference Proceedings

F. Nasirian, M. Ahmadian, O-K Lee. AI-Based Voice Assistant Systems: Evaluating from the Interaction and Trust Perspectives. In: Proceedings of the Americas Conference on Information Systems (AMCIS) 2017.
F. Nasirian, F. Mahdavi Pajouh, J. M. Namayanja. Exact algorithm for the minimum cost vertex blocker clique problem. In: Proceedings of the Northeast Decision Sciences Institute (NEDSI) 2017 Annual Conference, pages 621-627.

Working Papers

F. Nasirian, F. Mahdavi Pajouh and J.M. Namayanja. Exact algorithms for the minimum cost vertex blocker clique problem. Get the second revision and it is only editorial suggestions.
F. Nasirian, F. Mahdavi Pajouh. Detecting a most closeness-central clique in complex networks.
F. Nasirian and F. Mahdavi Pajouh. General exact algorithm for the max k-club problem.
F. Nasirian and F. Mahdavi Pajouh. On the quasi-clique polytope.

Invited talks/Seminars

F. Nasirian, F. Mahdavi Pajouh and J.M. Namayanja. Exact algorithms for the minimum cost vertex blocker clique problem. MSIS Research Seminar, Oct 18, 2017.
F. Nasirian, F. Mahdavi Pajouh and J.M. Namayanja. Exact algorithms for the minimum cost vertex blocker clique problem. INFORMS annual meeting, Oct 22-25, 2017.
F. Nasirian and F. Mahdavi Pajouh. Detecting a most closeness-central clique in complex networks. MSIS Research Seminar, Oct 29, 2018.
F. Nasirian, F. Mahdavi Pajouh and J.M. Namayanja. Exact algorithms for the minimum cost vertex blocker clique problem. INFORMS annual meeting, Nov 4-7, 2018.

F. Nasirian and F. Mahdavi Pajouh. Detecting a most close

 

Maryam Rahafrooz

MS, Industrial & Systems Engineering, Isfahan University of Technology

Prior to joining this program, Maryam was a PhD candidate in Florida institute of Technology studying operations research, which got her the opportunity to find her interest in the data science field. She has her BSc in statistics and MSc in industrial and systems engineering both from Isfahan University of Technology. Maryam’s research interest include predictive analytics, machine learning, and pattern recognition. 

Publications:

Syed, Romilla, Maryam Rahafrooz, and Jeffrey M. Keisler. "What it takes to get retweeted: An analysis of software vulnerability messages." Computers in Human Behavior 80 (2018): 207-215.

Rahafrooz, Maryam, and Mahdi Alinaghian. "A novel robust chance constrained possibilistic programming model for disaster relief logistics under uncertainty." International Journal of Industrial Engineering Computations 7.4 (2016): 649-670.

Lee, Carol, Maryam Rahafrooz, and One-Ki Daniel Lee. "What are the Concerns of Using a Ride-Sharing Service? An Investigation of Uber." Twenty-third Americas Conference on Information Systems, Boston (Aug 2017).

Conference presentation:

Rahafrooz, Maryam, and Davood Golmohammadi. "Online Appointment Scheduling based on Individual Patient Characteristics and No Shows."Production and Operations Management annual conference, Houston, TX (May 2018).

 

Tristan Joseph DeForest Stull

MBA, University of Massachusetts Boston
Bachelor of the Arts, University of Massachusetts Boston

Master Certified IT Architect (Open Group)
TOGAF-9 Certified
IBM RUP Certified

Research Gate
LinkedIn 

Tristan is a PhD candidate in Business Administration on the Information Systems for Data Science track. Prior to beginning his PhD studies, he had worked in information systems as a project manager and solution architect. He has designed, developed, and delivered large complex information systems, developed software, travelled the world consulting Global-1000 clients, and managed a department for a large, publicly-traded company. His research interests center on developing effective analytics processes for complex problems such as urban mobility. A Boston native and polyglot, Tristan has lived and worked abroad. Tristan believes very strongly in UMass Boston’s community mission and in the evolving 21st century social and moral responsibilities of both business people and intellectuals.

Publications

Ashrafi, N., Kuilboer, J.-P., & Stull, T. (2018). Semantic Interoperability in Health care: Challenges and Roadblocks. In STPIS 2018 4th International Workshop on Socio-Technical Perspective in IS development (STPIS’18) (pp. 119–122).

Stull, T. (2019). A Multi-Objective Decision Framework for Urban Mobility Planning. In The Global Interdisciplinary Conference Green & Digital Cities Business, Engineering, Art, Architecture, Design, Political Science, & Technology, Wroclaw, Poland (also presented at Conference).

Stull, T., & Kuilboer, J.-P. (2019). Three Languages for Urban Mobility. In STPIS 2019 5th International Workshop on Socio-Technical Perspective in IS development (STPIS’19) (pp. 54–64) , Stockholm, Sweden (also presented at Conference).

 

Haonan Zhong

MS in Financial Mathematics (Actuarial Science), University of Connecticut

Haonan Zhong is a doctoral student in the Information Systems for Data Science program in the University of Massachusetts Boston. He holds MS in Financial Mathematics-concentrated on Actuarial Science from University of Connecticut and Bachelors in Chemistry from University of Wyoming. His research interests include optimization algorithms and applications.

 

Xiaochen Zhu

MS, Management (with specialization in Finance), Case Western Reserve University

Prior to joining the program at UMass Boston, Xiaochen worked in the credit service department at HSBC Bank (China) for three years. Xiaochen studied Finance in both undergraduate and graduate. Her interest in data analysis made her to decide for further study in the data science direction. Her current research interest includes data mining and analytics.