معرفی
Ambuj K. Singh is a Distinguished Professor of Computer Science at the University of California, Santa Barbara (UCSB), with a part-time appointment in the Biomolecular Science and Engineering Program. He holds a PhD from the University of Texas at Austin (1989), an MS from Iowa State University (1984), and a BTech from the Indian Institute of Technology, Kharagpur (1982). His campus affiliations include the Center for Bio-Image Informatics, Information Network Academic Research Center, and IGERT on Network Science.
- PhD, University of Texas at Austin, 1989
- M.S., Iowa State University, 1984
- B.Tech., Indian Institute of Technology, Kharagpur, 1982
Research interests span network science, machine learning, and bioinformatics, with a focus on graph-based methodologies. His work addresses:
- Data-centric modeling of dynamic networks
- Representation learning and explainability in graph neural networks
- Network analysis in social systems and biological networks
- Applications in drug discovery and brain sciences
- Geometry-preserving distance metrics for data integrity
Recent publications highlight advancements in counterfactual explanations, GNN benchmarking, molecular graph pretraining, and self-attention for event detection.
Scientific contributions include:
- Founding Acelot, Inc., an in silico drug discovery company
- Editorial roles at IEEE Transactions on Knowledge & Data Engineering and BMC Journal of Clinical Bioinformatics
- NSF-IGERT (2013-2018), ARL-funded Information Networks Academic Research Center (2009-2014), and US Army MURI grants
Advising has involved mentoring over 50 graduate/postdoctoral students, including 30+ PhD candidates. He leads a multidisciplinary research group at UCSB and collaborates with off-campus entities like Acelot, Inc.
