Dr. Bharti

bharti@cs.du.ac.in; bhartirana.jnu@gmail.com

Department of Computer Science

University of Delhi

A Brief

My research interests span the areas of machine learning, image processing and pattern recognition. I have a specific interest in developing Computer-aided diagnosis (CAD) methods for differential diagnosis of an individual and identification of imaging biomarkers of a disease. I’ve worked on T1-weighted MRI dataset of Parkinson’s disease (acquired at All Indian Institute of Medical Science, Delhi), Alzheimer’s disease and fMRI dataset of Schizophrenia disease. I like to practice applied research for developing CAD methods that may be helpful for the clinicians and patients.

Education

Ph. D. in Computer Science (July 2012 - May 2016)

School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), Delhi, INDIA

Thesis title: Computer Aided Diagnosis of Parkinson’s Disease using T1-weighted Magnetic Resonance Imaging

Master of Technology in Computer Science & Technology (Aug 2010 - July 2012)

School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU) Delhi, INDIA

Dissertation title: Salient Features Selection for Multi-class texture classification

Master of Computer Applications (Aug 2006 - June 2009)

Tecnia Institute of Advanced Studies, Guru Gobind Singh Indraprastha University (GGSIPU) Delhi, INDIA

Dissertation title: Implementation of Image Retrieval Techniques

For Dissertation, worked at: Defence Terrain Research Laboratory (DTRL), Defence Research & Development Organization (DRDO), Metcalfe House, Delhi, INDIA.

Awards & Achievements

  • Department of Science & Technology-INSPIRE Fellow from July 2013 to Aug, 2015.

  • 1 st Position during Master of Technology (SC&SS, JNU).

  • UGC-NET (Computer Science), June 2012

  • GATE-2010 qualified in Computer Science

Work Experience

  • Worked as a Skill Assistant Professor, Computer Science Engineering/Information Technology, Skill Faculty of Engineering & Technology, Shri Vishwakarma Skill University, Haryana, INDIA from August 06, 2019 to December 03, 2020.

  • Worked as an Assistant professor (Ad-hoc) at Hansraj College, University of Delhi, Delhi, INDIA from Sept 8, 2015 to August 05, 2019.

  • Worked as Senior Research Fellow under Department of Information Technology, Ministry of Communication & IT, Govt. of India funded project entitled "Agri-Bioinformatics Promotion Programme" at Indian Institute of Wheat & Barley Research, (formerly named as Directorate of Wheat Research) Karnal, Haryana, INDIA from October 1, 2009 to August 10, 2010.

  • Completed Master of Computer Applications (VI semester) project at Defence Terrain Research Laboratory (DTRL), Defence Research & Development Organization (DRDO), Metcalfe House, Delhi, INDIA as a Trainee.

Administrative Activities

  1. Member, Dean of Students’ Welfare, Shri Vishwakarma Skill University, Palwal, Haryana

  2. Project Coordinator, Post Graduate Diploma in Aerospace Structural Design, Skill Faculty of Engineering & Technology, Shri Vishwakarma Skill University, Palwal, Haryana

  3. Project Coordinator, Post Graduate Diploma in Aerospace Technical Publication, Skill Faculty of Engineering & Technology, Shri Vishwakarma Skill University, Palwal, Haryana

  4. NSS Officer, Shri Vishwakarma Skill University, Palwal, Haryana

  5. Coordinator, Monthly Progress Report, Skill Faculty of Engineering & Technology, Shri Vishwakarma Skill University, Palwal, Haryana

  6. Member, Anti-ragging squad, Shri Vishwakarma Skill University, Palwal, Haryana

  7. Convener, Cultural Committee, Shri Vishwakarma Skill University, Palwal, Haryana

  8. Member, Youth Red cross committee, Shri Vishwakarma Skill University, Palwal, Haryana

  9. Member, Adventure Cell, Shri Vishwakarma Skill University, Palwal, Haryana

  10. Member, Admission committee, Shri Vishwakarma Skill University, Palwal, Haryana

  11. Member, Board of Studies, Skill Faculty of Engineering & Technology, Shri Vishwakarma Skill University, Haryana

  12. Member, Social-media Committee, Admission Committee, Shri Vishwakarma Skill University, Haryana

  13. Active member of Election Committee in Hans Raj College since 2015.

  14. Active member of the Admission Committee in Hans Raj College since 2016.

Journal Articles

01.
Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, Naveen Kumar.
Impact of ageing on the brain regions of the schizophrenia patients: an fMRI study using evolutionary approach, Multimedia Tools and Applications, 1-23, 2020, DOI: https://doi.org/10.1007/s11042-020-09183-z
02.
Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, Naveen Kumar.
Identification of changes in grey matter volume using an evolutionary approach: an MRI study of schizophrenia, Multimedia Systems, 26, 383–396, 2020
03.
Namita Aggarwal, Bharti Rana, R.K. Agrawal.
Role of surfacelet transform in diagnosing Alzheimer’s disease. Multidimensional Systems and Signal Processing, 30, 1839–1858, 2019. https://doi.org/10.1007/s11045-019- 00632-z
04.
Indranath Chatterjee, Manoj Agarwal, Bharti Rana, Navin Lakhyani, Naveen Kumar.
Bi-objective Approach for Computer aided Diagnosis of Schizophrenia Patients using fMRI Data, Multimedia Tools and Applications, 77, 26991-27015, 2018. DOI: https://doi.org/10.1007/s1104
05.
Akanksha Juneja, Bharti Rana, R.K. Agrawal.
A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI, Computer Methods and Programs in Biomedicine, 155, 139-152, 2018. https://doi.org/10.1016/j.cmpb.2017.12.001.
06.
Akanksha Juneja, Bharti Rana, R.K. Agrawal.
fMRI based Computer Aided Diagnosis of Schizophrenia using Fuzzy Kernel Feature Extraction and Hybrid Feature Selection, Multimedia Tools and Applications, 77(3) 3963-3989, 2018. doi:10.1007/s11042017-4404-8.
07.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S.S. Kumaran, Madhuri Behari, R.K. Agrawal.
Relevant 3D Local Binary Pattern based Features from Fused Feature Descriptor for Differential Diagnosis of Parkinson’s Disease using Structural MRI, Biomedical Signal Processing and Control, 34, 134-143, 2017. ISSN 1746-8094, http://dx.doi.org/10.1016/j.bspc.2017.01.007.
08.
Akanksha Juneja, Bharti Rana, R.K. Agrawal.
A Combination of Singular Value Decomposition and Multivariate Feature Selection Method for Diagnosis of Schizophrenia using fMRI, Biomedical Signal Processing and Control, 27, 122-133, 2016, ISSN: 1746-8094.
09.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S.S. Kumaran, Madhuri Behari, R.K. Agrawal.
Graph Theory based Spectral Feature Selection for Computer Aided Diagnosis of Parkinson’s Disease using T1-weighted MRI, International Journal of Imaging Systems and Technology, 25(3), 245-255, 2015, Online ISSN: 1098-1098
10.
Namita Aggarwal, Bharti Rana, R.K. Agrawal.
A Combination of Dual-Tree Discrete Wavelet Transform and Minimum Redundancy Maximum Relevance Method for Diagnosis of Alzheimer’s Disease, International Journal of Bioinformatics Research and Applications, 11(5), 433-461, 2015, Online ISSN: 1744-5493
11.
Namita Aggarwal, Bharti Rana, R.K. Agrawal.
Discrete Wavelet Transform for Computer Aided Diagnosis of Alzheimer’s Disease using T1-Weighted Brain MRI, International Journal of Imaging Systems and Technology, 25(2), 179-190, 2015, ISSN:1098-1098
12.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S.S. Kumaran, R.K. Agrawal, Madhuri Behari.
Regions-of-Interest based Automated Diagnosis of Parkinson’s Disease using T1-weighted MRI, Expert Systems with Applications, 42(9), 4506-4516, 2015, ISSN: 0957-4174

For all publication list: https://scholar.google.com/citations?user=CABw3dkAAAAJ&hl=en

Conference Articles

01.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S.S. Kumaran, R.K. Agrawal, Madhuri Behari.
Voxel-based Morphometry and Minimum Redundancy Maximum Relevance Method for Classification of Parkinson’s Disease and Controls from T1-weighted MRI, In: The Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP-2016), pp. 22, ACM.
02.
Mohit Saxena, Bharti Rana, Akanksha Juneja, S.S. Kumaran, R.K. Agrawal, Madhuri Behari.
Imaging Neurodegeneration in Movement Disorders: A VBM Study, In: Nineteenth International Congress of Parkinson’s Disease and Movement Disorders, JUNE 14-18,2015, SAN DIEGO, CA, USA. Movement Disorders, Vol. 30, Suppl. 1, Pg S393-394, 2015.
03.
Akanksha Juneja, Bharti Rana, R.K. Agrawal.
A Novel Approach for Computer Aided Diagnosis of Schizophrenia using Auditory Oddball Functional MRI, In: The ninth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP2014), Dec 14-17, 2014, doi: http://dx.doi.org/10.1145/2683483.2683520, p 37, ACM, ISBN: 978-1-4503-3061-9.
04.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S.S. Kumaran, Madhuri Behari, R.K. Agrawal,
A Machine Learning Approach for Classification of Parkinson’s Disease and Controls using T1-weighted MRI, In: 4th Asian and Oceanian Parkinson’s Disease and Movement Disorders Congress, Pattaya, Thailand, Nov 28-30, 2014. Movement Disorders, Vol 29, Suppl. 2, 2014, ISSN: 1531-8257
05.
Akanksha Juneja, Bharti Rana, R.K. Agrawal.
A Novel Approach for Classification of Schizophrenia Patients and Healthy Subjects using Auditory Oddball Functional MRI, In: Proceedings of 13th Mexican International Conference on Artificial Intelligence (MICAI-2014), Nov. 16-22, 2014, IEEE.
06.
Namita Aggarwal, Bharti Rana, R.K. Agrawal.
Detection of Alzheimer’s Disease via Statistical Features from Brain Slices, In: Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS-2013, St. Pete Beach, Florida. May 22-24, 2013. AAAI Press 2013.
07.
Bharti Rana, R.K. Agrawal.
Salient Features Selection for Multiclass Texture Classification, In Proceedings of 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, Oct 27-Nov 4, 2012, Volume Part I, 2012, 205-215, Lecture Notes in Computer Science Springer.
08.
Namita Aggarwal, Bharti Rana, R.K. Agrawal.
Computer Aided Diagnosis of Alzheimer’s disease from MRI Brain Images. ICIAR, Aveiro, Portugal, June 25-27, 2012, Proceedings, Volume Part II, 2012, 259-267, Lecture Notes in Computer Science 7325, Springer 2012.

For all publication list: https://scholar.google.com/citations?user=CABw3dkAAAAJ&hl=en

Book Chapter

Namita Aggarwal, Bharti Rana, R.K. Agrawal. Statistical Features Based Diagnosis of Alzheimer’s Disease Using MRI, Chapter in Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, Editor: Muhammad Sarfraz, 2014, 38-53. DOI: 10.4018/978-1-4666-6030-4.ch003, ISSN: 13: 9781466660304

Funded Projects

  1. Project Title: Artificial Intelligence Applications for Affordable and Accessible Healthcare for Differential Diagnostic of Psychiatric Disorders
    Project Duration: 2 year
    Funding Agency: Start-up Research Grant Scheme, Science and Engineering Research Board (SERB)
    Role: Principal Investigator
    Status: Ongoing
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  2. Project Title: Differential diagnosis of SCA1, 2, 3, 6 and 12 using structural MRI and resting state MRI
    Project Duration: 3 year
    Funding Agency: Major Research Programme Grant - IoE, University of Delhi
    Role: Principal Investigator
    Status: Ongoing
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  3. Project Title: A study on transformation challenges for embracing Industry 4.0 in (Manufacturing) Industries of National Capital Region (NCR)
    Project Duration: 1 year
    Funding Agency: Faculty Research Programme Grant - IoE, University of Delhi
    Role: Principal Investigator
    Status: Complete