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Dr Bipasha Kashyap

STAFF PROFILE

Position

Lecturer, Mechatronics

Faculty

Faculty of Sci Eng & Built Env

Department

School of Engineering

Campus

Geelong Waurn Ponds Campus

Biography

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] 

Awards

  • 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

Publications

Filter by

2023

FedXPro: Bayesian Inference for Mitigating Poisoning Attacks in IoT Federated Learning

P Indrasiri, D Nguyen, B Kashyap, P Pathirana, Y Eldar

(2023), pp. 1-17, IEEE Internet of Things Journal, Piscataway, N.J., C1

journal article

Machine Learning Based Scoring System to Predict the Risk and Severity of Ataxic Speech Using Different Speech Tasks

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

(2023), IEEE transactions on neural systems and rehabilitation engineering, Piscataway, N.J., C1

journal article

A Study of Upper-Limb Motion using Kinematic Measures for Clinical Assessment of Cerebellar Ataxia

L Abeysekara, B Kashyap, C Kolambahewage, P Pathirana, M Horne, D Szmulewicz

(2023), pp. 1-5, EMBC 2023 : Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, N.S.W., E1

conference

An Enhanced Classification Framework for Limited IoHT Time Series Data Using Ensemble Deep Learning and Image Encoding

Pubudu Indrasiri, B Kashyap, P Pathirana

(2023), pp. 1-4, EMBC 2023 : Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, N.S.W., E1

conference
2021

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
2020

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

conference
2019

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

conference
2018

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

conference
2017

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

conference

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

Supervisions

No completed student supervisions to report