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General Information

Full Name Himanshu Shekhar Sahoo
Date of Birth 19th July 1993
Languages English, Hindi, Odia

Education

  • 2023
    Doctor of Philosophy, Electrical Engineering
    University of Minnesota (UMN), Minnesota, USA
  • 2017
    Masters, ELectrical Engineering
    UMN, Minnesota, USA
  • 2015
    Bachelors, Information and Communication Technology
    Dhirubhai Ambani Institute of Information and Communication Technology, Gujarat, India

Work Experience

  • 2019 - 2023
    Lead AI and NLP Researcher
    Department of Electrical Engineering, UMN
    • Developing grant proposals, writing journals, securing funding, exploring existing literature and state-of-the-art speech-to-text tools for project specific use cases, and increasing cross-collaboration with multiple teams across various institutions.
  • 2021 - 2023
    Deep Learning Researcher
    Department of Surgery, UMN
    • Using ML and NLP techniques, developing a novel clinical annotation system for high-volume, real-time extraction and analysis of acute and long-term COVID-19 symptoms from unstructured patient notes.
    • Comparable to other state-of-the-art clinical annotation systems, the developed system was the quickest, utilized little computational resources, and had good symptom extraction performance.
  • 2022
    Health Futures Researcher
    Microsoft
    • Developed lesion detection pipeline to identify lesions (sprains, cartilage loss, fracture etc) present in a patient’s MRI image reconstructed using undersampled data.
    • In addition to detecting rare lesions, the pipeline had similar detection performance for MRI images reconstructed using no undersampling and MRI images reconstructed using an undersampling factor of 2, 4 and 8.
  • 2016 - 2021
    Teaching Instructor
    Department of Electrical Engineering, UMN
    • Ability to work under pressure while teaching and grading assignments in more than 20 undergraduate and graduate level classes with class sizes ranging between 20-150 students.
  • 2018
    AI Infrastructure Data Science Intern
    NVIDIA
    • Developed state of the art multi-core multi-GPU ML models in CUDA C++.
    • Analyzed and alleviated existing scaling inefficiencies present in these ML models.
    • The developed models were a part of the NVIDIA RAPIDS library.

Grants Received

  • 2021
    • Cisco Tech for HealthCare Research Grant
    • UMN Informatics Institute Small Seed Grant

Achievements

  • 2021
    • Google PhD Fellowship - University Finalist

Areas of Interest

  • GPGPU architecture optimization
  • Machine Learning
    • Natural Language Processing
    • Explainable ML
    • Fairness in ML

Other Interests

  • Hobbies: Reading, Traveling, Table Tennis, Cooking