Curriculum Vitae

Education

Sept. 2017 - April 2023

McMaster University, ON, Canada

Ph.D. in Computational Science and Engineering

Thesis: Big Data Clustering: Models and Applications. [Dissertation]

As part of the Marketing and Supply Chain Analytics (MiSCAN) Lab and Professor Elkafi Hassini’s research team, my primary research focus was designing heuristic clustering algorithms to identify communities in large-scale empirical networks. During my Ph.D., I had the privilege of receiving three Mitacs Accelerate Fellowships and working with FreshBooks Inc. to solve complex business problems.

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Sept. 2014 - April 2027

The University of British Columbia, BC, Canada 

M.Sc. in Computer Science 

Thesis: Random models and heuristic algorithms for correlation clustering problems on signed social networks. [Dissertation]

At UBC, under Professor Yong Gao’s supervision, my research focused on designing random models and analyzing signed-directed social networks.

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May 2004 - June 2010

University of Chittagong, Chittagong, Bangladesh

B.Sc. (Honours) and M.Sc. in Mathematics

Thesis: A Solution Procedure for Minimum Convex-Cost Network Flow Problems [Dissertation]

In addition to exploring the beautiful and hilly campus of the University of Chittagong, I graduated with a B.Sc. (with Honours) and M.S. (Thesis) in Pure Mathematics, specializing in operations research, fundamental analysis and numerical analysis. These areas of study have helped me refine my analytical and logical skills, which I utilize to solve complex problems in diverse professional environments.

Teaching and Research Experiences

Winter 2022 & 2023

Sessional Instructor

DeGroote School of Business, McMaster University, Hamilton, ON, Canada

I worked as an instructor for the following courses:

• Q775: Optimization and Machine Learning with Big Data  [course outline]

• 4QC3: Decision Modelling 

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Sept. 2017 - Dec. 2022

Graduate Research & Teaching Assistant

DeGroote School of Business, McMaster University, Hamilton, ON, Canada

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Sept. 2017 - Dec. 2022

Graduate Research & Teaching Assistant

The University of British Columbia, Kelowna, BC, Canada

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Sept. 2011 - Aug. 2024

Lecture (Mathematics), Stamford University Bangladesh, Dhaka, Bangladesh

Publications

• Wahid, D. F., & Hassini, E. (2024). An augmented AI-based hybrid fraud detection framework for invoicing platforms. Applied Intelligence.  54(2): p 1297-1310. [Available Online]

• Wahid, D. F., & Hassini, E. (2023). User-generated short-text classification using cograph editing-based network clustering with an application in invoice categorization. Data & Knowledge Engineering; 148.  [Available Online] 

• Wahid, D. F., & Hassini, E. (2022). A Literature Review on Correlation Clustering: Cross-disciplinary Taxonomy with Bibliometric Analysis. Operations Research Forum; 3(3), p. 47).  [Available Online]

• Wahid, D. F., Ezzeldin, M., Hassini, E., & El-Dakhakhni, W. W. (2022). Common-knowledge networks for university strategic research planning. Decision Analytics Journal; 2, p. 100027.  [Available Online]

• Wahid, D. F., Ray, G. C., & Habiba, F. (2012). A solution procedure for minimum convex-cost network flow problems. GJFSR: Mathematics and Decision Sciences; 12(10): p 22-30.  [Available Online]

Conference Presentations

• A Hybrid Framework for Invoice Categorization Based on the Line-item by Using a Keyword Network Approach. 63rd Annual CORS Conference, Vancouver, BC, Canada. June 5-8, 2022. [abstract  /  talk] 

• A prioritized fraud detection model for subscription-based businesses platform with minimal labelled data 62nd Annual CORS Conference, Toronto}, ON, Canada. June 5-8, 2021. [abstract / talk]

• Identifying Research Communities and Analyzing Collaborations and Publication Counts in the Common-Knowledge Networks. 60th Annual CORS Conference, Halifax, NS, Canada. June 4-6, 2018. 

Invited Talks

• Solving Real-World Solution with Industry Collaboration and Funding: Advantages, Challenges and Procedures. Smart Freight Center (SFC) Seminar, McMaster University. December 14, 2023.

• Invoice Line-Items Categorization with Keywords Network Clustering. Operations Management (OM) Seminar, DSB, McMaster University. December 2021.

• Bibliometrics Analysis in Research. Smart Freight Center (SFC) Seminar, McMaster University, November 2021.

• Fraud Detection in a Subscription-Based Invoice Platform with Noisy Data. CSE Seminar, McMaster University. November 2020.

Awards, Fellowships and Scholarships

• Nominated for the "Best Analyst of 2024" in the Lobaw Super-Market Division.

• Analytics Award for excellent contribution in the Lobaw Market Analytics division, 2023.

• Mitacs Accelerate Fellowship ($60,000 for 16 months),  2022. [URL]

• Mitacs Accelerate Fellowship ($45,000 for 12 months), 2021. [URL] 

• Mitacs Accelerate Fellowship ($45,000 for 12 months),  2019. [URL]

• International Excellence Award, Fall 2017, School of Graduate Studies, McMaster University, ON, Canada

• Graduate Dean’s Entrance Scholarship, Fall 2014, University of British Columbia, Okanagan.

• NSICT Graduate Research Fellowship, 2010-2011, Ministry of Science and ICT, Bangladesh.

• Merit Fellowship, 2009-2010, University Grant Commission (UGC), Bangladesh Scholarship, 2009.