PhD Student: Francis Ndikum Nji

Big Data Analytics Lab |  iHARP Department of Information Systems University of Maryland, Baltimore County Baltimore, MD, U.S.A. Email: fnji1_at_umbc.edu Lab: ITE 471, UMBC See me at: Google Scholar Citation Page, ORCID, LinkedIn, Github

Short Biography

I am a PhD student at the Department of Information Systems, University of Maryland, Baltimore County (UMBC) and a Graduate Research Assistant at iHARP. I hold a Bachelors degree in Management Information Systems from European University Cyprus in 2009 and a M.sc degree in Business Informatics from the University of Mannheim in 2020. My current research interests include but are not limited to Big Data Analytics, Unsupervised Spatiotemporal Data Mining, Causal ML and Distributed Computing with application focuses on Business Management and Climate Science.

Research Interests

• • Spatiotemporal Data Mining
  • Causal Inference
  • Climate Informatics
  • Machine Learning / Deep Learning
  • Distributed Computing

Education

• • 2022 ~ Present:  PhD in Information Systems, University of Maryland, Baltimore County.
    • Thesis Proposal (In Progress): “Deep Spatiotemporal Clustering and Causal discovery on Arctic Ice – Ocean interaction”
  • 2017 ~ 2020:  MS  in Business Informatics, University of Mannheim
    • Dissertation: A Machine Learning Approach to Identify Functional Equivalence of software code
  • 2004 ~ 2009:  BBA in Management Information Systems, European University Cyprus.
    • Dissertation: Implementation of radio frequency identification (RFID) System in Businesses

Publications

• • Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data
    O Faruque, FN Nji, M Cham, RM Salvi, X Zheng, J Wang
  • Evaluation of Clustering Algorithms for Spatio-Temporal Multivariate Weather Data
    FN Nji, RM Salvi, S Tirumala, J Wang, X Zheng
    Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)