Dr Srijoni Majumdar

Profile

I am an AI researcher with over 10 years of experience in recommendation systems, multi objective optimization, and decision modeling across industry and academia. Currently a Research Fellow in the School of Computer Science at the University of Leeds, I serve as a core team member on two UKRI funded initiatives: Digitally Assisted Collective Governance of Smart City Commons (ARTIO), UKRI Future Leaders Fellowship and Embedding EDI in the Distribution of Research Funding: An AI Assisted Collective Intelligence Approach, AI for Collective Intelligence Hub. My research advances a new paradigm for urban resource balancing by integrating combinatorial optimization with distributed AI and coordinated collective learning. Supported by individual fellowships from Research England Northern Triangle Talent and the Google powered AI Super Connector Cohort II, and industry pilot case studies under the EPSRC Impact Acceleration Account, I extend and augment my research to develop transparent, human centered decision frameworks that streamline logistics and delivery across complex supply chain ecosystems.

I also work on designing automated decision making systems, particularly through the lens of participatory budgeting. My recent work focuses on developing AI based decision support systems and participatory voting processes for smart cities including even children, in collaboration with ETH Zurich and the University of Fribourg (https://arxiv.org/abs/2505.14349). Building on this line of research, I have extensively worked on fair voting outcomes (https://royalsocietypublishing.org/rsta/article/382/2285/20240096/108461/Fair-voting-outcomes-with-impact-and-novelty) and on strengthening democratic resilience in scenarios of low voter turnout caused by voter fatigue. In this setting, abstained voters are mitigated through AI representatives that recover representative and fair voting outcomes (https://arxiv.org/abs/2406.11871). Recently, I have started working on human biases prevalent in collective decision making that affect children, youth, and families when deciding how to allocate a fixed budget for public welfare amenities.

I am machine learning enthusiast and love experimenting with the different algorithms (https://majumdarsrijoni.medium.com/)

Awards and Honours

• Best paper Award, ACM, Multiagent Sequential Decision Making under Uncertainty (MSDM) Workshop,22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2023. https://link.springer.com/chapter/10.1007/978-3-031-56255-6_4
• Special Mention Paper Award, Springer Nature, DcubeNN: Tool for Dynamic Design Discovery from Multi‑Threaded Applications using Neural Sequence Models @ 8th International Doctoral Symposium on Applied Computation & Security Systems, 2021 - https://link.springer.com/chapter/10.1007/978-981-16-4294-4_6
• Best Paper Award, Springer Nature, COMMENT‑MINE - A Semantic Search Approach to Program Comprehension from Code Comments @ 7th International Doctoral Symposium on Applied Computation & Security Systems, 2020 ‑ https://link.springer.com/chapter/10.1007/978-981-15-2930-6_3
• Prototype research fund (500K) for software metadata dataset curation ‑ industry visits in India and UK; annotation and review, National Digital Library of India, Ministry of Education Government of India, 2018 - 2020 https://onlinelibrary.wiley.com/doi/10.1002/smr.2463
• Fully funded PhD research fellowship, Ministry of Education, Government of India, 2017 - 2022
• Silver Medalist, Department Top 1 (class size 250) ‑ School of Information Technology in Master of Technology, Indian Institute of Technology, Kharagpur, India, 60th Convocation, 2014
• M&S, UK ‑ TCS Award, Client award for implementation of efficient retrieval and summarisation of supply chain inventory ‑ increase of 4.1% of sales M&S, London, 2012

Research Grants

• Rapid Response Fund project - AI4CI Collective Intelligence Hub with the EDI Hub “Embedding EDI in the Distribution of Research Funding” – Core Team Member – [£ 67,926.39] – February 2025 – Dec2026
• UKRI Impact Acceleration Translational Research Grant – Collective Learning and Optimisation for Urban Resources - Co-investigator – [£ 118,730.83] – February 2025 – June 2026
• AI Super Connector Translational Research Fund – Redefining Supply Chain Logistics - Google Cloud powered [£ 20,000] – Individual Fellowship – October 2024 – April 2025
• Northern Talent Triangle Individual Research Fellowship from Northern Gritstone, Research England - Redefining Load Balancing of Urban Commons - [£ 12,600] – Individual Fellowship – October 2024 – March 2025
• Indian Space Research Organisation (ISRO) - Hands-free Gesture Control for Immersive Image Navigation — Core Team Member - [£ 21,798] - July 2018 – July 2019

Industry Experience

• Research Fellow, University of Leeds, UK - (Oct 2022 to present)
• Research Scientist, TCG Crest Laboratories, India - (Feb to Oct, 2022)
• Visiting Researcher, University of Sheffield, UK, Peak Indicators, UK - (2020)
• Visiting Researcher, Indian Space Research Organisation, India - (2018)
• Research Analyst, Performance Labs, Tata Consultancy Services India - (Dec 2014 - Dec 2015)
• Information Technology Analyst, Marks and Spencer’s, UK, Tata Consultancy Services India (Dec 2009 - Dec 2012)

Teaching Experience

During my Ph.D., I served as a teaching assistant and co-module instructor for three massive open online courses for South Asia based on core computer science concepts, across three terms. These courses covered Database Management Systems (average enrollment: 28,000; link: https://nptel.ac.in/courses/106105175), Programming in C++ (average enrollment: 30,000; link: https://nptel.ac.in/courses/106105151), and Object Oriented Analysis (average enrollment: 6,000; link: https://nptel.ac.in/courses/106105153). I also served as a co instructor for Compiler Design for three terms for undergraduate and master’s level classes of approximately 220 students at the Indian Institute of Technology, Kharagpur, India.

Presently, during my postdoctoral tenure, I have assisted Professor Evangelos Pournaras in delivering one double lecture and one single lecture on blockchain algorithms and taxonomy to a class of approximately 150 students across two terms.

Broader Outreach Activities

I am part of the postdoctoral team involved in the Career Development Framework for Early Career Researchers and a member of the team awarded a grant from Research Culture India to build an Early Career Researcher community across University of Leeds. I also serve as the postdoc forum representative of the School of Computer Science, University of Leeds.

I am a member of the editing team for the Handbook on Democracy and Artificial Intelligence, University of Leeds and ETH Zurich.

I served as Track Co-Coordinator for Information Retrieval in Software Engineering (IRSE) at the Forum for Information Retrieval Evaluation (FIRE) in 2022, 2023, and 2024.

Qualifications

• Indian Institute of Technology, Kharagpur with Sheffield University, UK, AI and Software, PhD, 2022
• Indian Institute of Technology, Kharagpur, Masters in Computer Science, 2014 -Institute Silver Medal