Cheickna Sylla

Cheickna Sylla is a Professor at the MT School of Management, New Jersey Institute of Technology (NJIT). His research focuses on socio-technical systems, cloud computing, quality control, and machine learning applications in finance and education. He has collaborated internationally on projects involving financial data integration, generative models for character skeletonization, and customer sentiment analysis in logistics.

Key research interests include optimizing human-machine interaction in quality assurance, developing algorithms for financial data imputation, and exploring cloud computing's role in STEM education. His work often bridges technical systems with organizational and societal impacts, such as socio-technical performance modeling and supply chain risk management.

Recent contributions include advancements in tensor completion algorithms and generative adversarial networks for Chinese character analysis. His research has been published in journals like Journal of Computer Science and Technology and presented at ACM conferences on AI in Finance.