About
Soumi Ghosh is an Assistant Professor in the Department of Biochemistry at Virginia Tech. Her research focuses on the exploration of the eukaryotic front-line defense mechanism involved in mucosal innate immune responses during host-pathogen interactions, utilizing biochemical and glycobiology approaches. Ghosh's educational background includes a PhD in Chemistry (Chemical Biology) from the University of Michigan, Ann Arbor, obtained in 2020, and a Master of Science in Chemistry from the Indian Institute of Technology, Kanpur, India, in 2014. She also holds a B.Sc in Chemistry from Visva-Bharati University, Santiniketan, India, earned in 2012. Her professional experience includes postdoctoral work at the Massachusetts Institute of Technology in the Department of Biology, where she worked as a Postdoctoral Associate from 2020 to 2025 under the guidance of Dr. Barbara Imperiali. Her research contributions involve investigating host-microbe crosstalk, glycan analysis, and lectin-microbe interactions, with her work featured in prominent scientific publications and showcases.
Research topics
- Computer Science
- Computer Security
- Machine Learning
- Computer network
- Data Mining
- Distributed computing
- Artificial Intelligence
- World Wide Web
- Operating system
- Algorithm
- Software engineering
- Embedded system
Selected publications
Participant selection algorithms for large-scale mobile crowd sensing environment
Microsystem Technologies · 2022 · 3 citations
- Computer Science
- Computer Science
- Data Mining
Formal Synthesis of Monitoring and Detection Systems for Secure CPS\n Implementations
arXiv (Cornell University) · 2020
- Computer Science
- Computer Security
- Computer Science
We consider the problem of securing a given control loop implementation of a\ncyber-physical system (CPS) in the presence of Man-in-the-Middle attacks on\ndata exchange between plant and controller over a compromised network. To this\nend, there exist various detection schemes that provide mathematical guarantees\nagainst such attacks for the theoretical control model. However, such\nguarantees may not hold for the actual control software implementation. In this\narticle, we propose a formal approach towards synthesizing attack detectors\nwith varying thresholds which can prevent performance degrading stealthy\nattacks while minimizing false alarms.\n
Frequent coauthors
- 10 shared
Naren Ramakrishnan
- 10 shared
John S. Brownstein
Boston Children's Hospital
- 9 shared
Elaine O. Nsoesie
Boston University
- 8 shared
Emily Cohn
Boston Children's Hospital
- 7 shared
Prithwish Chakraborty
- 5 shared
Sumiko R. Mekaru
Boston University
- 3 shared
Maimuna S. Majumder
Boston Children's Museum
- 3 shared
Shahana Gupta
All India Institute of Medical Sciences Bhopal
Labs
Education
- 2007
Ph.D., Electrical Engineering and Computer Sciences
University of California, Berkeley
- 2003
M.S., Electrical Engineering and Computer Sciences
University of California, Berkeley
- 2001
B.S., Electrical Engineering
Indian Institute of Technology, Kharagpur
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