Scholar
Ruchika Verma
Google Scholar ID: S1nDMuEAAAAJ
Computational Scientist, Icahn School of Medicine at Mount Sinai
Citations & Impact
Citations
2,862
H-index
15
i10-index
17
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Awarded Doctoral Excellence Award by the Department of Biomedical Engineering, Case Western Reserve University, OH, USA; Travel grant of $1000 from Case Comprehensive Cancer Center to attend SPIE Medical Imaging 2019 in San Diego, CA; Awardee of Commonwealth Scholarship 2017 by UK Department for International Development (DFID); Travel grant of $1000 from IEEE Signal Processing Society to attend ICIP 2016 in Phoenix, AZ; Qualified Council for Scientific and Industrial Research exam (UGC-CSIR NET) with AIR 136 out of a million students; Gold Medal for 1st position during undergraduate studies; Excellent academic record scholarship by SHDF (via Nishkam), covering a semester fee during undergraduate studies; Second prize in paper presentation on National Science Day during undergraduate studies.
Research Experience
- Machine Learning Intern at Alberta Machine Intelligence Institute (Amii), Edmonton, Canada (Jan - Apr 2022); Graduate Research Assistant at Department of Computing Science, University of Alberta, Edmonton, Canada (May - Aug 2021); Graduate Research Intern at Department of Medicine, University of California San Francisco, USA (May - Aug 2020); Graduate Research Assistant at Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA (Aug 2017 - Dec 2021); Graduate Research Assistant at Department of Electronics and Electrical Engineering, IIT Guwahati, India (July 2014 - Dec 2016); Junior Research Fellow at Department of Biomedical Engineering, INMAS-DRDO, New Delhi, India (Dec 2013 - Feb 2014).
Education
- Ph.D. in Biomedical Engineering from Case Western Reserve University, Cleveland, USA (2017 - 2021); M. Tech in Electronics and Electrical Engineering from IIT Guwahati, India (2014 - 2016), specializing in statistical signal processing and machine learning, CGPA 8.4/10.0; B.Tech (with distinction) in Electronics and Communication Engineering from Punjab Technical University, Jalandhar, India (2009 - 2013), CGPA 8.8/10.0.
Background
- Research interests include Machine Learning, Deep Learning, Medical Image Analysis, and Computational Pathology. Focused on developing machine learning algorithms to solve real-world problems in precision oncology, digital health, and medical big-data.
Co-authors