Profile image for Siva Chandrasekaran

Dr Siva Chandrasekaran

Senior Lecturer, Computer and Software Engineering
Software Engineering Program Lead
Fellow & Chartered Professional Engineer, Institution of Engineers Australia

Biography

Siva Chandrasekaran is a Senior Lecturer (Computer and Software Engineering), and Software Engineering Discipline lead, Academic Senate (Elected for the years 2021-2022 and 2023-2024) in the School of Science, Computing, and Engineering Technologies at the Swinburne University of Technology.  Siva has been awarded as a Fellow of the Institution of Engineers Australia (FIE Aust) and he is a Chartered Professional Engineer (CPEng) in the practice area of Information, Telecommunications and Electronics, Project Management, and Systems Engineering. Siva also served as an Academic Director (Curriculum & Quality) for the School of Science, Computing, and Engineering Technologies. He graduated BEng (CSE) in India and an MEng, MEng Sci (Electronics) from Victoria University, and a PhD (Engineering Education) from Deakin University respectively. 

Siva Chandrasekaran has been bestowed as a senior member (SMIEEE) of the Institution of Electrical and Electronics Engineers (IEEE) and also a member of the Australian Computer Society (ACS). Siva is an Associate Editor of the IEEE Education Society IEEE Access Section. He is the lead of the Internet of Things (IoT) Training Academy at Swinburne. Siva has made significant contributions to engineering education research and published more than 140 scholarly articles in national/international peer-reviewed journals and conference proceedings.

Siva Chandrasekaran is an active researcher and his research is in Artificial Intelligence, Machine Learning/Deep Learning, and Industrial IoT. Siva conducts world-class research and fosters cross-disciplinary collaboration and his research is supported by Australian government funding agencies and commercial partners (DFAT, DATA61, CSIRO, Australian Academy of Science, and the Department of Industry, Science, Energy, and Resources) around Australia. His education philosophy is founded on the Project-Oriented Design-Based Learning (PODBL) approach at Deakin University. Siva has facilitated workshops and seminar training on pedagogical approaches in the Asia Pacific educational sectors.

Siva Chandrasekaran led and continued the DFAT Australia-India Council grant project ‘Workshop to Establish India-Australia Internet of Things (IoT) Training Academy’ where academics, Industry representatives, and STEM educators in Australia and India collaborated to strengthen STEM awareness, industry partnerships, and higher education and research. The major industry partners are Siemens Australia, Nexans Olex, Sutton Tools, SAP, Arduino, Pepper + Fuchs, CSIRO, IoTA, Institution of Engineers Australia, DATA61, Brim Bank Council, and Catholic Education Services. https://www.swinburne.edu.au/research/centres-groups-clinics/internet-of-things-training-academy/

Siva Chandrasekaran continues his extensive involvement in collaborative teaching/research activities with Australasian Universities 'Plenary Talk Speaker at Tsinghua University, CHINA; Workshop Facilitator at WUHAN University of Science and Technology, WUHAN, CHINA; Sastra Deemed University & Manipal University, India, Universiti Teknologi Malaysia and the American University of Dubai.

Siva Chandrasekaran led a learning and teaching project 'Empowering Indigenous Australians' knowledge for first-year STEM students to connect People with Technology'. He designed, developed, and implemented the unit ‘Technology in an Indigenous Context Project’ and engages students through a community project that deepens their understanding of the plurality and diversity of Indigenous Australians' knowledge systems, worldviews, standpoints, and culture in relation to STEM technologies. Siva and his team were awarded the 2023 Vice-Chancellor's Reconciliation Award.


Completed HDR Supervision/Co-Supervision

1. Doctor of Philosophy – Artificial Intelligence-based Framework for Industrial Asset Management Using Real-Time Series Data
2. Doctor of Philosophy – Stock Price Prediction for Time-Series Data using Hybrid Deep Learning
3. Doctor of Philosophy – Virtual Reality Training for Micro-Robotic Cell Injection 
4. Master by Research – Real-time Control of a Mobile Robot using EEG AND EOG-based Eye Tracking System
5. Master by Research – Machine learning for predictive maintenance of industrial machines using IoT
6. Master by Research – Artificial Intelligence-based Smart Tele-Assisting Technology for Students Using Augmented Reality Smart Glasses 
7. Doctor of Philosophy – Catering for Individual Learning Styles to Improve the Effectiveness of Online Web Delivery of Engineering Education

Research interests

Internet of Things; Artificial Intelligence in Manufacturing; Data Analytics; Augmented Reality; Industrial Internet of Things; Engineering Education

PhD candidate and honours supervision

Higher degrees by research

Honours

Available to supervise honours students.

Fields of Research

  • Educational Technology And Computing - 390405
  • Automated Software Engineering - 461201
  • Software And Application Security - 460406
  • Empirical Software Engineering - 461202
  • Data Security And Protection - 460403
  • Hardware Security - 460405
  • System And Network Security - 460407

Teaching areas

Software Engineering;Technical Software Development;Software Deployment and Evolution;Data Analytics with Python;Technology in an Indigenous Context;Technology Innovation Project

Awards

  • 2023, Swinburne, Vice-Chancellor's Reconciliation Award (Winner), Swinburne University of Technology
  • 2020, Swinburne, School Engagement Excellence Award (Industry and Community engagement/ Outstanding service), Swinburne University of Technology
  • 2020, National, Fellow of the Institution of Engineers Australia (FIE Aust), Institution of Engineers Australia
  • 2019, Swinburne, Research Travel scheme Grant, FSET, Swinburne University of Technology
  • 2018, Swinburne, Vice-Chancellor’s Innovation Award (Highly Commended), Swinburne University of Technology
  • 2018, National, Chartered Professional Engineer (CPEng), Institution of Engineers Australia
  • 2018, Swinburne, ADLI Teaching Technology Grant, FSET, Swinburne University of Technology
  • 2017, Swinburne, Vice-Chancellor's Industry Engagement Award (Highly Commended), Swinburne University of Technology
  • 2014, National, ACED NRSWS (National Resources Sector Workforce Strategy) Project, Australian Council of Engineering Deans

Professional memberships

  • 2023 (current): Associate Editor, IEEE Education Society IEEE Access Section, International
  • 2021 - 2022: Board Member, Academic Senate, Swinburne University of Technology, Australia
  • 2023 (current): Board Member, Academic Senate, Swinburne University of Technology, Australia
  • 2018 (current): Fellow, The Institution of Engineers Australia, Australia
  • 2020 (current): Member, European Journal of Engineering Education, Europe
  • 2021 (current): Member, Australian Computer Society, Australia
  • 2019 (current): Senior Member, The Institute of Electrical and Electronics Engineers, Asia/Pacific
  • 2023 (current): Assessor, International Conference on Computer and Automation Engineering, Australia
  • 2023 (current): Senior Member, IEEE Education Society, International
  • 2023 (current): Senior Member, IEEE Biometrics Council, International
  • 2023 (current): Senior Member, IEEE Council on Electronic Design Automation, International
  • 2022 (current): Senior Member, IEEE Sensors Council, International
  • 2022 (current): Senior Member, IEEE Systems Council, International
  • 2023 (current): Senior Member, IEEE Internet of Things Council, International
  • 2014 - 2018: Member, International Federation of Engineering Education Society, Europe
  • 2023 (current): Assessor, IEEE Global Engineering Education Conference (EDUCON), International

Publications

Also published as: Chandrasekaran, Siva; Chandrasekaran, S.; Chandrasekaran, Sivachandran; Chandraskaren, S.; Chandraskaren, Siva; Chandraskaren, Sivachandran
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2021: Classification of nCov using Deep Learning CNN models on Lung X-ray Images *; Australian Academy of Science Regional Collaborations Programme
  • 2020: Workshop to establish India-Australia Internet of Things Training Academy *; DFAT Australia India Council
  • 2019: CSIRO - ON Innovations - ‘Augmented Reality’ *; CSIRO - Science and Industry Endowment Fund (SIEF)
  • 2019: Development and Trial of an IoT Solution for labelling consistency and integrity in meat export supply chains *; Australian Meat Processor Corporation

* Chief Investigator


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