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Abira Sengupta

PhD Researcher
Department of Information Science
Multi Agent System
University of Otago, NZ

Email: abira[dot]sengupta[at]postgrad[dot]otago[dot]ac[dot]nz

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About | Research | Projects | Publications | Teaching | CV |

About Me

Hi, I am Abira. Welcome to my academic webpage. I am a student of Doctoral of Philosophy (PhD) in Multi-Agent System. I work at the Department of Information Science, University of Otago, NZ. My research interests focus on developing a generalised reasoning of explicit representation of expectations in a multi-agent-system to solve the collective action problem.

Earlier in my pre-Doctoral work I focused on Computer Vision and Machine Learning and deep learning to face recognition for biometrics. However, I was exploring other areas of computer vision and upcoming machine learning methods.

My birthplace is Kolkata. In 2019, I relocated to Dunedin, New Zealand, to pursue my doctorate. In my spare time, I enjoy listening to music and gardening. I also enjoy riding my bike and learning new things.

Research Projects[Top]

L2S

Current Project: A generic approach to reasoning about collective action problems using expectations in a multi-agent system



There is a conflict in society between self-interest and social interest. Individuals prioritise their own interests over social interests, which can lead to problems in achieving collective action. With the preceding points in mind, create a computational model that explicitly represents expectations in various ways, such as expectations, norms, and team reasoning norms in multi-agent system, to address collective action problems using discrete Event Calculus.
L2S

Other Research work

[1] 2023: University of Otago | Post-PhD Research

- I am looking to marge my experience in multi-agent systems with machine learning through neuro symbolic AI

[2] 2023 University of Otago | Collaboration Study

- Developing wildfire prediction models using machine learning classification algorithms

[3] April 2017-December 2018: Indian Statistical Institute | Pre-Doctoral Research

- ConvNet-based Face Recognition for Biometric Authentication and Pincode detection of multilingual behaviour

[4] July 2011-June 2013: West Bengal University of Technology | Masters Research

- Localized Algorithm for Coverage in Wireless Sensor Networks

[5] July 2009-June 2010: West Bengal University of Technology | Bechelors Research

- Developing an Academics Management System

Selected Publications [Top]

Conferences

  1. Abira Sengupta, Stephen Cranefield, Jeremy Pitt, "Generalising Axelrod's Metanorms Game through the use of explicit domain-specific norms", COINE 2023.

  2. Nuzla Ismail, Abira Sengupta,, Brendon Woodford, Sherlock Licorish, "A Comparison of One-class versus Two-class Machine Learning Models for Wildfire Prediction in California", AusDM 2023. [paper]

  3. Abira Sengupta, Stephen Cranefield, Jeremy Pitt, "Solving social dilemmas by reasoning about expectations", COINE 2021: 1-18. [paper]

  4. Abira Sengupta, Saurabh Malgaonkar, Nikita Mehrotra, Tejas Hirave, " A Preliminary Investigation of LEACH, TEEN and DEEC Towards Wireless Sensing Application", ICCICT 2021. [paper]

  5. Abhijit Das, Abira Sengupta, Umapada Pal, and Michael Blumenstein, "More Realistic and Efficient Face-Based Mobile Authentication using CNN", IJCNN, 2018. [paper]

  6. Nabin Sharma, Abira Sengupta, Rabi Sharma, Umapada Pal, and Michael Blumenstein, "Pincode detection using Deep CNN for postal Automation", IVCNZ, 2017. [paper]

  7. Abhijit Das, Abira Sengupta, Umapada Pal, and Michael Blumenstein, "Linking Challenging Face Images Captured from the Optical Phenomenon in the Wild for Forensic Science", IJCB, 2017. [paper]

Posters

  1. Abira Sengupta, Stephen Cranefield, Jeremy Pitt, "Generic representation of expectations can help computational agents to solve social dilemmas", AIRA, NZ, https://www.ainz.ai/2022-posters

Recent Awards and Funding

    • [1] Commerce Research Grant.
    • [2] Marsden scholarship for 3 years PhD studies in NZ (2019 - 2022).
    • [3] Technical Education Quality Improvement Programme for MTech scholarship in India (2012 - 2013).

Teaching

L2S

[1] Tutor/Demonstrator at the University of Otago, NZ (2019 to 2023) | Part-time Faculty

- 2023: DIGH 708 & 709, Digital Health Technologies.
- 2022, 2021, 2020: INFO 204, machine learning using Python coding.
- 2023, 2022, 2021: COMP 120, Data Science using R.
- 2022: INFO 301, Software development.
- 2021: INFO 310, software and system development using JAVA.
- 2019: COMP 101, R and SQL coding.

[2] Guest Lecturer in Kolkata, India (2015-2018) | Part-time Faculty

- Jadavpur University - Taught multimedia systems.
- Kalyani Govt Engg College - Taught Algorithms, Automata, Graphics, Multimedia.
- Aliah University - Taught Sensor Networking theory.
- Narula Institute of Technology - Taught C coding, Multimedia, Networking theory.