Shen-Shyang Ho is a tenured associate professor in the Department of Computer Science at Rowan University, NJ, starting September 2021. He joined Rowan University in September 2016 as a tenure-track assistant professor. Before that, he was a tenure-track assistant professor at the Nanyang Technological University between January 2012 and July 2016 in Singapore. He was a researcher at CfAR, UMIACS from June 2010 to December 2011. He was a postdoctoral scholar at the California Institute of Technology (JPL) from August 2009 to May 2010 and a NASA postdoctoral fellow at the Jet Propulsion Laboratory (JPL) from August 2007 to July 2009. Shen-Shyang received his Ph.D. in Computer Science from George Mason University in 2007 and his Bachelor (Honors) in Science (Mathematics and Computational Science) from the National University of Singapore in 1999.
From 2007-2009, Shen-Shyang was the recipient of the highly competitive NASA postdoctoral fellowship to develop robust cyclone tracking and eye-locating algorithms using heterogeneous data from multiple satellite sources, and the development of novel data mining techniques to understand global cyclone evolutions. From 2009-2012, his NASA-funded project involved the application of moving objects database technology to support Earth science investigations. From 2012-2016, his projects include the development of image-based surface defect classification technology to support manufacturing process funded by Rolls-Royce/National Research Foundation (Singapore), the development of garage parking lot estimation technology to support urban drivers funded by BMW, and the use of array-based database technology (SciDB) for weather event-based satellite data query funded by Ministry of Education in Singapore. His current research on anomaly detection in spatio-temporal domain is funded by NSF. His other research interests include data mining (network/graph data), machine learning (one-shot learning, transfer learning, etc), and pattern recognition applications.
Shen-Shyang is the author of more than 75 technical articles in international peer-reviewed journals, conferences, and workshops including IEEE TPAMI (2), IEEE TNNLS (2), IEEE TAES, ICML, ACM GIS (3), IJCAI (2), AAAI, UAI, KDD (2), IEEE ICDM, IEEE MDM (3), ICASSP, and ICIP. He has two US patents and one German patent. He has co-authored/edited a book titled "Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications". He has served as a program committee member for top international conferences such as IEEE ICDM, ACM GIS, IEEE MDM. He has reviewed for journals such as IEEE TPAMI, IEEE TKDE, IEEE TAES, and J. VLDB. He gave a tutorial at AAAI and IJCNN in 2011, and ECML in 2014. He has also participated in NSF grant review panels.
