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Harshita Sharma

Postdoctoral Researcher • Image Scientist • Data Explorer • Engineer

University of Oxford

Biography

Dr. Harshita Sharma is a PostDoc in the Department of Engineering Science at the University of Oxford, and a member of the Biomedical Image Analysis (BioMedIA) group, advised by Prof. Alison Noble. She is working in the interdisciplinary ERC Project PULSE (Perception Ultrasound by Learning Sonographic Experience) with the aim to develop multi-modal analysis methods to model sonographic experience to make obstetric ultrasound imaging easier for non-specialists. Harshita’s research interests include artificial intelligence and machine learning, NLP, big data science, image and signal analysis applied to medicine and healthcare.

In 2017, Harshita obtained her Ph.D. (Dr.-Ing.) in Computer Vision from Technische Universität Berlin advised by Prof. Olaf Hellwich, after being awarded a full-time DAAD Ph.D. Scholarship (2013-17). She was a member of the Computer Vision and Remote Sensing group (CVRS) at TU Berlin. She collaborated with Charité University Hospital, VMScope GmbH Berlin, and University Hospital Schleswig-Holstein. She analysed histopathological whole slide images of gastric carcinoma to develop methods in computational pathology for automatic cancer grade classification, necrosis detection and cell nuclei classification.

In 2012-13, Harshita was a lecturer in electronics and communication engineering at the Jaypee Institute of Information Technology. In 2011-12, she was fortunate to be an exchange research scholar at Technical University Berlin under the DAAD-IIT Master Sandwich Programme, where she explored histopathological breast cancer biopsies for content-based image retrieval and collaborated in the Virtual Specimen Scout project of Charité University Hospital Berlin, TU Berlin, VMscope GmbH Berlin and NEXUS AG Villingen-Schwenningen. In 2012, Harshita obtained her Masters degree (M.Tech.) in electrical engineering from the Indian Institute of Technology Roorkee, and in 2010, and Bachelors degree (B.Tech.) in electronics and communication engineering from the Indira Gandhi Delhi Technical University of Women.

Interests

  • Biomedical Image Analysis
  • Artificial Intelligence and Machine Learning
  • Medical Imaging (Ultrasound, Histopathology, Radiology)
  • Big Data Science
  • Multi-modal Data Analysis
  • Image and Signal Processing
  • Information Retrieval

Education

  • Ph.D.(Dr.-Ing.) in Computer Vision, 2017

    Technische Universität Berlin

  • M.Tech. in Instrumentation and Signal Processing, 2012

    Indian Institute of Technology Roorkee

  • B.Tech. in Electronics and Communication Engineering, 2010

    Indira Gandhi Delhi Technical University for Women

Publications

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(2020). Discovering Salient Anatomical Landmarks by Predicting Human Gaze. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, USA, 2020, pp. 1711-1714. Best Paper Awards Runner Up.

PDF DOI arXiv ORA IEEE BibTeX

(2019). Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

DOI ORA IEEE BibTeX

(2019). Captioning Ultrasound Images Automatically. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.

DOI ORA Springer BibTeX

(2019). Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction. Medical Image Understanding and Analysis (MIUA 2019). Best Paper Award.

PDF DOI ORA Springer BibTex

(2019). Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation. (AP and YC contributed equally.)Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.

DOI Springer BibTeX

(2019). Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. In Information Processing in Medical Imaging (IPMI 2020).

PDF DOI arXiv ORA Springer BibTeX

(2018). SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

DOI ORA IEEE BibTeX

(2010). A Content-Based Medical Image Mining System for Knowledge Discovery in Medical Images. National Conference on Information Management in Knowledge Economy 2010.

(2010). Enhancement of Medical Images Using a Novel Frobenius Norm Filtering Method. The 4th International Conference on Computer Applications in Electrical Engineering Recent Advances (CERA 2009).

Research Experience

 
 
 
 
 

Postdoctoral Researcher

University of Oxford

May 2017 – Present Oxford, United Kingdom
  • Analyzing multimodal big data consisting of videos, images, and sensory data to develop novel methods for medical ultrasound.
  • Performing independent research and collaborations with project team members, including Nuffield Department of Women’s & Reproductive Health at the John Radcliffe Hospital.
 
 
 
 
 

PhD Research Scholar

TU Berlin (DAAD Full-Time Scholarship)

Oct 2013 – May 2017 Berlin, Germany
  • Ph.D. thesis was titled Medical Image Analysis of Gastric Cancer in Digital Histopathology: Methods, Applications and Challenges.
  • The research was performed between TU Berlin, Charité University Hospital Berlin and UKSH Kiel.
 
 
 
 
 

DAAD-IIT Masters Exchange Scholar

TU Berlin (DAAD-IIT MSP Scholarship)

Sep 2011 – May 2012 Berlin, Germany
  • Master’s thesis was titled Determining Similarity in Histological Images using Graph-Theoretic Description and Matching Methods for Content-Based Image Retrieval in Medical Diagnostics.
  • Was a part of the collaborative research project Virtual Specimen Scout of Charité University Hospital Berlin, TU Berlin, VMscope GmbH Berlin and NEXUS AG Villingen-Schwenningen.
 
 
 
 
 

Research Trainee

Defence Research and Development Organisation

Jul 2009 – Jun 2009 Delhi, India
  • Secured Grade-A (Excellent) at DRDO.
  • Signal processing research on the project called VANI: Automatic Speaker Recognition System.

Teaching Experience

 
 
 
 
 

Teaching Assistant in Engineering Science

University of Oxford

Oct 2018 – Present Oxford, United Kingdom
  • Received SEDA PDF Supporting Learning Award, a portable accredited qualification in Higher Education teaching. The award is aligned to the UK Professional Standards Framework (UKPSF) for Teaching and Supporting Learning in Higher Education, at Descriptor 1.
  • Lead Tutor with tutorials and exam setting in B-13 paper Circuits and Communications.
  • Lecture and lab demonstration in coursework module Biomedical Engineering: Introduction to Biomedical Image Analysis.
  • Lectures and practical in Advanced Image Analysis module at the DTC-ONBI Programme.
  • Tutorials and independent studies on Mathematical Modelling for Teach First Futures Easter School and Headstart Programme.
 
 
 
 
 

Lecturer

Jaypee Institute of Information Technology

Jul 2012 – Apr 2013 Noida, India
  • Course Coordinator-Lectures, Tutorials and Exam Paper-Setting: Electrical Machines and Instruments
  • Lab Instructor: Electrical Machines and Instruments
  • Course Instructor-Lectures and Tutorials: Basic Electronic Devices and Circuits
  • Lab Instructor: Basic Electronic Devices and Circuits
  • Project Supervisor: Undergraduate 3rd year and 4th year projects

Service and Administration

Journal Reviewer

IEEE TMI, PLOS ONE, IEEE JBHI, IEEE RA-L, Elsevier’s CMIG, Elsevier’s AIIM, Elsevier’s CPMB, Ultrasonic Imaging, Springer’s IJCARS, MDPI J Imaging, MDPI Applied Science, Biomedical Optics Express.

Conference Reviewer

ASMUS 2020, MIUA 2020, MICCAI 2020, MIDL 2020, ISBI 2020, MICCAI 2019, MIDL 2019, IEEE ISBI 2019, IEEE ISBI 2018, BioRob 2018, IEEE BIBE 2017 (Program Committee Member).

Memberships

ESDIP Scientific Committee Member, TU Berlin-Alumni Network (International Contact- GB) and Manager of the LinkedIn TU Berlin Alumni Club UK, MedIAN-Medical Image Analysis Network, Lindau Alumni Network, Heidelberg Laureate Forum - Alumni Network, DAAD Alumni Network, Durtti-The Artificial Intelligence Group, Cancer Epigenetics Society, Science Advisory Board

Accomplish­ments

SEDA PDF Supporting Learning Award

A portable accredited qualification in Higher Education teaching in the UK. The award is aligned to the UK Professional Standards Framework (UKPSF) for Teaching and Supporting Learning in Higher Education, at Descriptor 1.

Selection and Grant to participate in 68th Lindau Nobel Laureate Meeting in Lindau, Germany

Only 600 most qualified young scientists can be given the opportunity to enrich and share the unique atmosphere of the LNLMs. Selected as one of 15 Mars Fellows under the Mars Fellows Programme.

Best Poster Award Cum Laude (Digital Pathology)

Awarded at SPIE Medical Imaging, San Diego, California, USA (2016).

Robert F. Wagner All-Conference Best Student Paper Award Conference Finalist

In recognition of the professional excellence of scientific paper at SPIE Medical Imaging, San Diego, California, USA (2016).

Selection and Grant to participate in 3rd Heidelberg Laureate Forum (HLF) in Heidelberg, Germany

Only 200 most qualified young researchers are granted the opportunity to experience unique atmosphere of HLF.

DAAD PhD Scholarship

Full-time scholarship for Ph.D. research in Computer Vision at TU Berlin.

Late Smt. Uma Goyal Memorial Cash Prize Award for highest CGPA in M.Tech.

1st Position in the Department of Electrical Engineering at IIT Roorkee.

DAAD-IIT Master Sandwich Scholarship

M.Tech. research and dissertation in Computer Vision at TU Berlin.

M.Tech Scholarship (PG Scholarship)

Secured after qualifying Graduate Aptitude Test in Engineering (GATE) with 98.82 Percentile.

Selection in ISRO Recruitment for Engineer-Scientist

Merit Rank 27 in All-India ISRO Recruitment for Engineer-Scientist.

Grade-A Excellent in research training project

Research project on speaker recognition.

Cash Prize Awards for being the topper on the basis of Cumulative Performance Index

Topper (overall 1st Position) at IGIT, GGSIPU Delhi.

Gold Medal

Excellence in Academics for seven successive years.

Rashtriya Kavita Award-National poetry writing competition

3rd position in national poetry writing competition.

News and Events

  • April 2020 | A co-authored paper from the PULSE project “Discovering Salient Anatomical Landmarks by Predicting Human Gaze” has won the 2nd runner up for Best Paper Award at ISBI 2020! News items can be found here and here.

  • July 2019 | A co-authored paper from the PULSE project “Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction” has won the Best Paper Award at MIUA 2019.

  • April 2019 | Harshita presented her Postdoctoral research paper “Spatio-temporal partitioning and description of full-length routine fetal anomaly ultrasound scans” in IEEE ISBI 2019 at Venice, Italy.

  • March 2018 | Harshita presented her research at the Oxbridge Women in Computer Science Conference 2018 at Cambridge, UK.

  • July 2018 | Harshita’s PhD research on gastric cancer was mentioned in the blog article Tackling the Silent Crisis in Cancer Care and at Lindau Alumni Network.

  • June 2018 | Harshita participated in the 68th Lindau Nobel Laureate Meeting 2018 as a Mars Fellow at Lindau, Germany. She has shared her experience here!

  • April 2018 | Harshita featured in the Women in Research Blog by Lindau Nobel Laureate Meeting. Can also be viewed here.

  • May 2018 | Hashita has a feature in the TU Berlin Newsletter TU Intern!

  • April 2018 | Harshita attended the TU Berlin Alumni Workshop in Berlin, Germany! Watch the glimpses of her TU Berlin Alumni Memories on Youtube here, here and here!

  • March 2018 | Harshita’s interview (invited feature) by Durtti.com-The Artificial Intelligence Group: Research Scientist Dr. Harshita Sharma Talks To Durtti About The Future Of Biomedical Imaging.

  • April 2017 | Harshita defended her PhD thesis at TU Berlin and received the Dr.-Ing. degree 😄.

  • March 2017 | Harshita gave an invited talk Medical Image Analysis using Modern Description and Learning Techniques at NIEC, Delhi.

  • October 2016 | Harshita presented her PhD research at the workshop Computational Life Sciences @ Bayer in Berlin, Germany.

  • May 2016 | Harshita’s deep learning in digital pathology talk at ECDP 2016 in Berlin was mentioned in the MicroDimensions Blog Article.

  • March 2016 | Harshita received student paper and poster awards at the SPIE Medical Imaging Symposium 2016 in San Diego, United States. Find out more here!

  • January 2016 | Harshita’s PhD research is featured in the Computer Vision & Remote Sensing Group Activities of the TU Berlin.

  • August 2015 | Harshita presented her PhD research and participated in the 3rd Heidelberg Laureate Forum at Heidelberg, Germany!

  • June 2014 | Harshita gave an invited talk Histopathogical Image Analysis for Content-Based Image Retrieval and Classification at the DAAD WISE scholarship holders’ meeting at the Frei Universität in Berlin, Germany.

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