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Dr. Ashok Mondal

Associate Professor

Email: ashok.mondal@vit.ac.in

 

Employee ID52316
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2015Biomedical Signal Processing and Machine LearningIIT Kharagpur
M.Tech2008Digital Signal ProcessingCalcutta University
B.E./B.Tech2006ECECalcutta University
Research Details
Areas of SpecializationBiomedical Signal Processing, Image Processing, Soft Computing
ORCID IDhttps://orcid.org/

0000-0002-8410-9198

Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=51665643700
H-index (scopus)7
Google Scholar IDhttps://scholar.google.co.in/citations?user=vsZcabIAAAAJ&hl=en
i10 index12
Patent Published Details
Patent Published TitlePatent Published Application No.
1.       A computer-aided diagnostic system for removing of heart sound interference from lung sound signals and prognosis the normal and abnormal status if the lungs515/KOL/2011
2.       An integrated automated system for assessing and monitoring the cardiac status and pulse rate using a mobile phone device14/KOL/2013
Awards & Recognition Details(only national and international awards and recognitions)
Name of the award, awarding agency, year of award
1.       Recipient of European Respiratory Society Young Scientist Award among Participants from 135 Countries in 2018

2.       Recipient of Travel Grant Award of 600 Euro from European Respiratory Society to Present the Work at Paris, France in September 2018

3.       Awarded Certificate from Indian Council of Medical Research for the Contribution in the Field of Science and Technology in 2015

4.       Research Work Selected as Editor’s Choice Article of Lead Research Journal, Respirology and was Covered Widely by Media (2015)

(Links:

1.       timesofindia.indiatimes.com/home/science/IIT-Kgp-devises-super-stetho-for-lung-diseases/articleshow/48010616.cms

2.        https://3novicesindia.wordpress.com/2015/07/09/3novicesiit-kgp-devises-super-stetho-for-lung-diseases/

3.       http://www.business-standard.com/article/news-ians/doctors-can-now-see-lung-sounds-detect-disorders-115070900918_1.html)

5.       Awarded Elsevier Reviewer Certificate in reviewing of Journal of Biomedical Signal Processing and Control (2018,2019,2020,2021)

6.       Awarded Elsevier Reviewer Certificate in reviewing of Journal of Computers in Biology and Medicine (2018)

7.       Awarded IEEE Transactions Reviewer Certificate in reviewing of Journal IEEE Transactions on Signal Processing (2021)

Major International CollaborationDetails  – AcademicCollaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration: Dalian University of Technology, China; Kent University, UK; Southampton University, UK; Wroclaw University, Poland
1.       Ashok Mondal,Poulami Banerjee, and Hong Tang, “A Novel Feature Extraction Technique for Pulmonary Sound Analysis based on EMD,” Computer Method and Programs in Biomedicine,” Computer Methods and Programs in Biomedicine, vol. 159, pp. 199-209, 2018 (Impact Factor: 5.428) (Science Citation Index) Elsevier.

 

2.       Hong Tang,Jinghui Zhang, Huaming Chen, Ashok Mondal, and Yongwan Park, “A noninvasive approach for investigation on ventricular blood pressure using cardiac sound features,” Physiological Measurement, vol. 38, no. 2, pp. 289-309, 2017 (Impact Factor: 2.058) (Science Citation Index) Institute of Physics and Engineering in Medicine(IPEM).

 

 

3.       Ashok Mondal, Ishan Saxena, Hong Tang, and Poulami Banerjee, “A noise reduction technique based on nonlinear kernel function for heart sound analysis”, IEEE Journal of Biomedical and Health Informatics, vol, 22, no. 3, pp. 775-784, 2018 (ImpactFactor:5.772) (Science Citation Index) IEEE Transactions.

 

4.       Ashok Mondal, and Hong Tang, “Respiratory sounds classification using statistical biomarker”, EMBS 2017, Korea, 11-15 July, 2017.

 

 

5.       Ashok Mondal, and PalaniappanRamaswamy, “Detection of pathological condition of heart

using texture complexity of the heart sound signals in kernel space”, ICBAPS 2018, Malaysia, 24-26 July, 2018.

Other Details
Editorial Experience (if any)Reviewer:

1.       IEEE Transactions on Signal Processing

2.       IEEE Transactions on Biomedical Engineering

3.       Biomedical Signal Processing and Control, Elsevier

4.       Computers in Biology and Medicine, Elsevier

5.       Physiological Measurement

6.       American Journal of Respiratory and Critical Care Medicine

 

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