Profile image of Bipasha Kashyap

Dr Bipasha Kashyap



Lecturer, Mechatronics


Faculty of Sci Eng & Built Env


School of Engineering


Geelong Waurn Ponds Campus


Dr Bipasha Kashyap is a Lecturer in Mechatronics at the School of Engineering, Deakin University. Prior to joining academia, as part of her post-doctoral engagement, she worked as an Applied Machine Learning Research Engineer in the NSBE Research Group, School of Engineering, Deakin University and led a team of ML engineers in a Medical Research Future Fund (MRFF) – Biomedical Translation Bridge project that involved the product development and commercialisation of medical grade assistive devices. She has been honoured with the prestigious Data61 Ph.D. scholarship, CSIRO and has completed her Ph.D. in Biomedical Engineering with the NSBE research group in 2021. She received a B.E. degree (first-class honours) in Electronics and Telecommunication Engineering from Gauhati University, India, and a M.E. degree (first-class honours) in Electronics and Management Engineering from Deakin University, Australia. 

She received the Outstanding Final Project Award in her M.E. with an opportunity to present her project to the then honourable Prime Minister of Australia (Malcolm Turnbull) in Engineers Australia.  She holds the prestigious 2016 veski inspiring women Victorian Fellowship, following which she worked with Australian Road Research Board (ARRB) as a Hardware Design Engineer, 2017.

During her PhD, she has received multiple awards in university, national and international science competitions for outstanding creative research demonstrations in the 3 Minute Thesis, Visualise Your Thesis and FameLab Competitions. She has also established a strong collaboration with renowned neurologists and researchers from Florey Institute of Neuroscience, Royal Victorian Eye & Ear Hospital, Alfred Health Cerebellar Ataxia Clinic and CSIRO-Data61.

Read more on Bipasha's profile

Research interests

Advanced signal processing, speech processing, human motion analytics, wearable sensors, scalable machine learning algorithm and system design in Healthcare, driving AI/ML pipeline building in the Cloud and Network Engineering.

Media appearances

  • Formally invited to engage in the 2021 SEBE HDR Research Marketing campaign (Deakin University) and contributed as the primary person in a Deakin Media Release.
  • Radio Interview on ‘Our Speech – a reporter of our Neural Health’ for Einstein A Go-Go on RRR radio station [May 3, 2020]
  • Invited for the International Women’s day “Women in Science – Think Tank” at the Government House Melbourne, hosted by Governor of Victoria, Honourable Linda Dessau [March 8, 2017]
  • Got an opportunity to present her M.E. project ‘Design of a Functional Observer for Interconnected System with unknown input’  to the then honourable Prime Minister of Australia (Malcolm Turnbull) amidst eminent engineers in Engineers Australia meet [June 6, 2016] 


  • Visualise Your Thesis Competition, Mebourne University, 2020: International Finalist
  • Visualise Your Thesis Competition, Deakin University, 2020: First Place & People’s Choice Award 
  • FameLab Competition, 2020: Victorian Semi-Finalist
  • Faculty of SEBE’s Semi-Finals 3 Minute Thesis Competition (3MT), Deakin University, 2019: 3rd Finalist
  • School of Engineering Finals 3 MT, Deakin University, 2019: 1st Runners up
  • Received a scholarship from Data61, CSIRO for persuing PhD at Deakin University, 2017.
  • Awarded a 2016 Victorian fellowship in veski inspiring women and industry internship with the industry partners ARRB Group, with an opportunity to work in a real life government project.
  • M.E. final year project entitled, ‘Design of a Functional Observer for Interconnected System with unknown input’, 2016: Best Electronic Project in Masters level, Deakin University
  • Golden Key International Honour Society Member, 2016
  • Global citizenship award from Deakin University, 2016


Filter by


Modeling the Progression of Speech Deficits in Cerebellar Ataxia Using a Mixture Mixed-Effect Machine Learning Framework

B Kashyap, P Pathirana, M Horne, L Power, D Szmulewicz

(2021), Vol. 9, pp. 135343-135353, IEEE Access, C1

journal article

Automated Topographic Prominence based quantitative assessment of speech timing in Cerebellar Ataxia

B Kashyap, M Horne, P Pathirana, L Power, D Szmulewicz

(2020), Vol. 57, Biomedical Signal Processing and Control, C1

journal article

Quantitative assessment of speech in cerebellar ataxia using magnitude and phase based cepstrum

B Kashyap, P Pathirana, M Horne, L Power, D Szmulewicz

(2020), Vol. 48, pp. 1322-1336, Annals of biomedical engineering, New York, N.Y., C1

journal article

Objective Assessment of Cerebellar Ataxia: A Comprehensive and Refined Approach

B Kashyap, D Phan, P Pathirana, M Horne, L Power, D Szmulewicz

(2020), Vol. 10, Scientific Reports, England, C1

journal article

A sensor-based comprehensive objective assessment of motor symptoms in Cerebellar Ataxia

B Kashyap, D Phan, P Pathirana, M Horne, L Power, D Szmulewicz

(2020), pp. 816-819, EMBS 2020 : Enabling innovative technologies for global healthcare : Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Online from Montreal, Canada, E1


Automated tongue-twister phrase-based screening for Cerebellar Ataxia using Vocal tract Biomarkers∗

B Kashyap, P Pathirana, M Horne, L Power, D Szmulewicz

(2019), pp. 7173-7176, EMBC 2019 : Proceedings of the IEEE Engineering in Medicine & Biology Society 2019 Annual International Conference, Berlin, Germany, E1


Quantitative assessment of syllabic timing deficits in ataxic dysarthria

Bipasha Kashyap, P Pathirana, Malcolm Horne, Laura Power, David Szmulewicz

(2018), pp. 425-428, EMBC 2018 : Proceedings of the 40th IEEE Engineering in Medicine and Biology Society Annual International Conference, Honolulu, Hawaii, E1


A constrained nonlinear optimization solution for 3D orientation estimation of the human limb

D Phan, B Kashyap, P Pathirana, A Seneviratne

(2017), pp. 1-4, BMEiCON 2017 : Proceedings of the 2017 10th Biomedical Engineering International Conference, Hokkaido, Japan, E1


Funded Projects at Deakin

Industry and Other Funding

Real Time Positioning over Wi-Fi 6

Prof Pubudu Pathirana, Ms Bipasha Kashyap

Codan Limited

  • 2020: $20,500


No completed student supervisions to report