I am a graduate student at Case Western Reserve University. Through masters in Electrical Engineering and pursuing PhD in Biomedical Engineering, I hope to gain complementary skills for working with multi-disciplinary teams. My research is focused on developing computer algorithms for precision oncology. I am currently investigating radiomic features from specific brain tumor regions and finding their associations with histopathological attributes and molecular markers to understand the tumor phenotypic characteristics. ​During my masters, I developed a machine learning algorithm to predict multiple sub-types of breast cancer in a single patient. I also developed deep learning solutions for automated medical image analysis to predict prostate biochemical recurrence. 
Quick links:     Google Scholar          Linkedin         GitHub           Courses          Research Highlights

Updates

• I recently co-organized an international competition on multi-organ nuclei segmentation and classification (MoNuSAC) at the IEEE International Symposium on Biomedical Imaging 2020. This competition will push state-of-the-art in generalized segmentation of tumor nuclei and tumor associated immune cells. Click here for challenge details. 
• I previously co-organized an international competition on multi-organ nuclei segmentation (MoNuSeg) from H&E stained tissue images at MICCAI 2018 where 32 teams from 11 countries made to the final rankings.​​
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Research interests
         Machine learning, deep learning, medical image analysis, computational pathology. For more details please refer to research tab.

​​Education

•    Ph. D. in Biomedical Engineering,                                                                                                                         (2017 - present)

               Case Western Reserve University, Cleveland, U.S.A                                               

•    M. Tech in Electronics and Electrical Engineering,                                                                                              (2014- 2016)

               Indian Institute of Technology Guwahati, India - CGPA 8.4/10.0                         

•    B.Tech (in distinction) in Electronics and Communication Engineering,                                                            (2009-2013)

               Punjab Technical University, Jalandhar, India - CGPA  8.8/10.0  

​Awards and Honors

• Awarded 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)  
• Awarded 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

• Awarded gold Medal for 1st position during my undergraduate studies
• Received an excellent academic record scholarship from Nishkam welfare society (a charitable trust) to support my undergraduate studies 
• Awarded second prize in paper presentation on National science day during my undergraduate studies

Experience

• Graduate research assistant with Dr. Russell Greiner, Department of Computing Science, University of Alberta, Edmonton, AB (May - Aug 2021)
• Graduate research assistant with Dr. Pallavi Tiwari, Center of Computational Imaging and Personalized Diagnostics Lab
  Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH (Aug 2017 - Present)
• Research assistant with Dr. Amit Sethi and Prof. Prabin Kumar Bora, Image Processing and Computer Vision Lab
  Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India (July 2014 - Dec 2016)
• Junior research fellow​, Department of Biomedical Engineering
  Institute of Nuclear Medicine and Allied Sciences, Defense Research and Development Organization, New Delhi (Dec 2013 - Feb 2014) ​