Kenneth K. Fletcher

Short Bio

A computer scientist and software engineer, Kenneth Fletcher is an Associate Professor of Computer Science at University of Massachusetts Boston (UMass Boston). His primary research focuses on how to improve the accuracy and diversity of recommender systems in the Services and Cloud Computing domain. In his research, he has worked with deep learning models like memory-based RNNs, RNNs with attention, Transformers, BERT and Reinforcement learning models for sequence-to-sequence recommendation. Kenneth also focuses on how to use machine learning to identify 3D part families, detect defects's and improve simulation performance in Metal Additive Manufacturing. At UMass Boston, Kenneth teaches software engineering and recommender system courses for both undergraduate and graduate levels. He has been a technical reviewer for several journals and conferences including the IEEE Transactions on Service Computing (TSC), IEEE Transactions on Network and Service Management (TNSM), IEEE Conference on Service Computing (SCC) and IEEE Conference on Web Services (ICWS), just to name a few. Download CV (pdf)

Upcoming Events & News

I will be serving as the Congress Program Chair for the 2024 IEEE World Congress on Services to be held in China.
I will be serving as the Congress Symposium Chair for the 2023 IEEE World Congress on Services to be held in Chicago, IL from July 2 - July 8, 2023.
I will be serving as the Session Chair for the following conferences to be held in Chicago, IL from July 2 - July 8, 2023:
- 2023 IEEE International Conference on Services Computing
- 2023 IEEE International Conference on Cloud Computing
Our paper titled "A services classification method based on heterogeneous information networks and generative adversarial networks" has been accepted in the International Journal of Web Services Research (IJWSR). Congratulations to Xiang.
[Ph.D. TA/RA Positions] I am looking for self-motivated students to join my research group. Read a few of my publications and if you are interested in my research email me your CV. UMass Boston is classified as, Doctoral Universities: Higher Research Activity, according to the Carnegie Classification of Institutions of Higher Education.

My Latest Research

Defect detection in metal additive manufactuing.
Context-aware recommender systems.
Exploring ways to improve recommendation accuracy and diversity with Knowledge Graphs.
Reinforcement learning recommender systems.
Improving the performance of 3D additive manufacturing simulation with machine learning.

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