SOET KRMU Faculty Dr. Shweta A. Bansal

Faculty

Our Faculty enable students with the wealth of information that is available today and help them develop skills that will equip them for life

Dr. Shweta A. Bansal

Associate Professor -Engineering & Technology

Interest Area(s)

  • Machine learning
  • Speech and Language Processing
  • Artificial Intelligence
  • Data Science
  • Digital Signal Processing

Dr. Shweta A. Bansal has more than 17 years of teaching and 11 years of research experience in the field of Artificial Intelligence. Currently, she is working as an  Associate Professor with the CSE Department, School of Engineering and Technology, K R Mangalam University, since 20th September 2021. She worked as Assistant Professor and HOD of the R&D lab with KIIT College of Engineering, Gurgaon from July 2010 to April 2021. During her association of more than 10 years with KIIT College of Engineering, she has completed six research projects as Principal Investigator and Co-Investigator funded by SAG, DRDO, and Meity Delhi. She was the core member of the technical, review, and organizing committees of the various National/International conferences held at KIIT.  She is the reviewer of many journals including Springer also. She has guided more than 40 B.Tech/ M.Tech. Dissertations. She is a member of various professional bodies and societies including IEEE and the Acoustical Society of India.  She has published more than 25 research papers in various International/National  Scopus and SCI indexed Journals and International/National Conferences proceedings. She has attended many workshops/seminars/ FDP’s in the area of Artificial Intelligence and Machine learning. She has received the Best Faculty award for the year 2012-2013 at KIIT College of Engineering, Gurgaon. 

  • Ph.D from Ansal University Gurgaon, 2019.
  • M.Tech from Maharishi Dayanand University Rohtak,2011.
  • B.Tech from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, 2002.
  • Associate Professor at K.R.Mangalam University, Gurugram from September 2021 – Till date).
  • HOD, Research & Development at KIIT College of Engineering, 2012 - April 2021.
  • Senior Research Associate at Indira Gandhi Technical University for Women, June 2021-Sep 2021.
  • Assistant professor at KIIT College of Engineering, 2010 – April 2021.
  • Assistant professor at Hitkarini College of Engineering, August 2002 - April 2008.
  • Shweta Bansal, Manisha Jaitly,Shipra Arora, Dr. S.S.Agrawal Comparative Phonological And Prosodic Study Of Hindi Spoken By Native And Non Native Speakers presented and published in proceedings of 15th International conference O-COCOSDA, CASLRE 2012, Macau China (Scopus) 
  • Bansal Shweta, Mahajan M., Agrawal,S.S. and Kushwaha, A. “Determination of Linguistic Differences and Statistical Analysis of Large Corpora of Indian Languages,” presented and published in IEEE proceedings of 16th International conference O-COCOSDA, CASLRE 2013, Nov 25-27, pp. 400-404,Gurgaon, India, 2013. ISBN No. 978-1-4799-2379-3. 
  • S.Agrawal, Abhimanue and Shweta Bansal “Statistical Analysis of Multilingual Text Corpus and Development of Language Models” presented and published in proceedings/lrec2014, p.p 2436-2440, ELREC 2014, Iceland (Scopus) 
  • Dipti Pandey, Shweta Bansal and Dr. Shyam S. Agrawal, “Comparative Performance of Hindi Speaker Identification System Using MFCC and PLP features” presented at O-COCOSDA 2014, p.p 325-330, Phuket, Thailand
  •  Shweta Bansal, Shambhu Sharan, S.S Agrawal, “Corpus Design and Development of an Annotated Speech Database for Punjabi” presented in COCOSDA held on 28-30 October 2015 in Shanghai and published in IEEE explore DOI: 10.1109/ICSDA.2015.7357860 
  • Shweta Bansal, Shyam S. Agrawal: “Comparative Acoustic study of Hindi phonemes spoken by native and nonnative speakers” accepted and presented in National Conference on Acoustics for Ocean Environment, organized by National Symposium on Acoustics Goa, 7-9 october2015 
  • Shambhu Sharan, Shweta Bansal, Shyam S. Agrawal , “Speaker Independent Recognition System for Continuous Hindi Speech using Probabilistic model” Computer Society of India 2-5th December 2015 New Delhi and published in Springer, Singapore https://doi.org/10.1007/978-981-10-6626-9_10 
  • Shweta Bansal, Shyam S. Agrawal, Arup Saha , Tulika Basu,”Articulatory Classification of Punjabi Consonants using EPG EEG and Nasometer” presented in International conference OCOCOSDA 2016, Bali (IEEE explore) 
  • Shweta Bansal, Shyam S. Agrawal, “Development of Text and Speech Corpus for Designing the Multilingual Recognition System” presented in 2018 Oriental COCOSDA - International Conference on Speech Database and Assessments, Miyazaki, Japan, DOI: 10.1109/ICSDA.2018.8693013 (IEEE) 
  • Shyam Agrawal, Shweta Bansal, Shweta Sinha ,” Comparative Acoustic-Phonetic Analysis of Retroflex Consonants of Some Indian Languages” in Proceedings of 23rd International Congress on Acoustics, 9-13 Sep 2019, Aachen, Germany, p.p 6871-6878. 
  • Shweta Sinha, Shweta Bansal, S.S Agrawal “Acoustic phonetic convergence and divergence between Hindi spoken in India and Nepal”. Satellite Workshop at Interspeech 2019, Pluricentric Languages in Speech Technology, September 14 2019, Graz,Austria 
  • Shweta Bansal, Shweta Sinha, S.S Agrawal "Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information". Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), pages 167–171 Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 202
  • Amita Dev, Shweta Bansal, S.S Agrawal“An Empirical Study of Speaker Identification System for Mono and Traverse Linguistic Background Using EM and SMEM” accepted in 24th Conference of the Oriental COCOSDA to be held on 18-20 November Singapore.
  • Shweta Bansal, Ankur Hooda, Anima “SPEAKER IDENTIFICATION SYSTEM USING CLOSE SET, published in International Journal of Research in Engineering and Technology (ISSN: 2319 – 1163), Volume 1, issue 3, p.p 411-414, Nov 2012 .
  • Agrawal S.S, Bansal Shweta, Pandey, D. and Tayal, H. “A Hidden Markov Model (HMM) based speaker identification system using mobile phone database of North Atlantic Treaty Organization (NATO) words” presented and published in The Journal of the Acoustical Society of America, vol. 133, issue 5, p. 3247 .
  • Shweta Bansal “Isolated word speech recognition for object identification” IJSER Volume 4, Issue1, Jan 2013 Edition (ISSN 2229-5518) .
  • Shweta Bansal, Shyam S. Agrawal and Alok Kushawaha “Overview on Speaker Identification Technologies:”published in IJRASET, 2015, Issue VI, June 2015 (ISSN No. :2321-9653) (UGCapproved).
  • Shweta Bansal, S.S Agrawal and Atul Kumar, Speaker Adaptation on Hidden Markov Model Using Mfcc & Rasta-Plp and Comparative Study, published in IJST DOI: 10.17485/IJST/2016/v9i28/74624, Vol.9, Issue28, July 2016 (Scopus indexed in 2016) .
  • S.S Agrawal, Shweta Bansal, Shambhu Sharan, Amritpal Singh , Acoustic phonetic study of phonemes and tonemes of spoken Punjabi language, The Journal of the Acoustical Society of America 139, 2214 (2016); https://asa.scitation.org/doi/10.1121/1.4950619 (SCIIndexed) .
  • S.S Agrawal, S.Bansal, Shambhu Sharan, Acoustic analysis of oral and nasal Hindi vowels spoken by native and non-native speakers published The Journal of the Acoustical Society of America 140, 3338 (2016); https://asa.scitation.org/doi/10.1121/1.4970648 (SCI Indexed) .
  • Shweta Bansal, S, S Agrawal, Acoustic Analysis and Perception of Emotions in Hindi Speech Using Words And Sentences, BJIT 2018, Springer, DOI: 10.1007/s41870-017-0081-0 (Scopus, Springer).
Book Chapters
  • Shweta Sinha and Shweta Bansal, Computational intelligence approach to address the language barrier in healthcare, chapter published in Computational Intelligence for Machine Learning and Healthcare Informatics, De Gruyter 2020, https://doi.org/10.1515/9783110648195 (Scopus Indexed) .
  • Shweta Bansal, SS Agrawal, Shambhu Saran (2018), Speaker-Independent Recognition System for Continuous Hindi Speech Using Probabilistic Model, 10.1007/978-981-10-6626-9_10.