Shuchin Aeron

Shuchin Aeron is an Associate Professor in the Department of Electrical and Computer Engineering at Tufts School of Engineering, with joint appointments in the Departments of Computer Science and Mathematics. He holds a Ph.D. from Boston University (2009) and completed postdoctoral research at Schlumberger Doll Research, focusing on borehole acoustic signal processing. His research spans statistical signal processing, machine learning, compressed sensing, and information theory, with applications in geophysics, bioengineering, and imaging. Aeron has authored over 175 publications and holds patents in acoustic signal processing. He received the NSF CAREER Award (2016) and is a Senior Member of the IEEE.

• Educations:
  • Ph.D., Electrical Engineering, Boston University, 2009
  • M.S., Electrical Engineering, Boston University, 2004
  • B.Tech., Indian Institute of Technology, 2002
• Research Interests:
  • Statistical signal processing (SSP), inverse problems, compressed sensing, information theory, convex optimization
  • Machine learning applications in geophysical signal processing, imaging, and bioengineering

His work emphasizes optimal sampling and recovery of multidimensional signals, with contributions to compressed sensing architectures and generative models for particle physics experiments. He leads NSF-funded projects on data science and domain generalization, and collaborates with industry partners like Schlumberger and Mitsubishi Electric Research Labs.

• Awards:
  • NSF CAREER Award (2016)
  • Mitsubishi Electric Research Lab Research Gift (2015)
• Grants and Funding:
  • NSF HDR TRIPODS (2019–2023)
  • AFOSR: Enabling Trusted Human-Like Artificial Teammates (2018–2023)
  • NSF: Optimal Sampling and Recovery for Multilinear Signals (2013–2016)

Aeron teaches advanced courses in probabilistic systems analysis, information theory, and machine learning. He directs the Tufts Data Science undergraduate and graduate programs, and serves on editorial boards of journals including Frontiers in Signal Processing and IEEE Transactions on Geoscience and Remote Sensing.