About Me

I am a research assistant at UCD, Dublin and at the same time studying for a Ph.D. in Computer Science and Engineering at the HKUST, Hong Kong. My work is on general purpose disk-based indexes that enable applications to handle large amount of data without overloading the RAM. This allows applications to be deployed across many systems (e.g., mobile devices, cloud servers, containers etc.) with minimal overhead. During my M.Sc. studies, I developed machine learning protocols for federated systems in Python, and crowdsensing mechanisms for blockchain and mobile devices on Ethereum and Android. The projects I am currently working on are implemented in Rust and C++.

Research Interests

Databases (DB), Mechanism Design (MD), Blockchains (BC), Machine Learning (ML)

Publications

1. Kai Wang, Moin Hussain Moti, Dimitris Papadias. "TIDE: Indexing Time Intervals by Duration and Endpoint". Proceedings of the 19th International Symposium on Spatial and Temporal Data (SSTD 2025). DB

   • Winner of the Best Research Paper Award

2. Moin Hussain Moti, Panagiotis Simatis, Dimitris Papadias. "Waffle: A Workload-Aware and Query-Sensitive Framework for Disk-Based Spatial Indexing". Proceedings of the VLDB Endowment, Vol. 16 (VLDB 2023). DB

3. Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar. "Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding". Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021). MD

4. Sankarshan Damle, Sujit Gujar, Moin Hussain Moti. "FASTEN: Fair and Secure Distributed Voting Using Smart Contracts". Proceedings of the 3rd IEEE International Conference on Blockchain and Cryptocurrency. (ICBC 2021). BC MD

5. Kamalesh Palanisamy, Vivek Khimani, Moin Hussain Moti, Dimitris Chatzopoulos. "SplitEasy: A Practical Approach for Training ML models on Mobile Devices". Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications (HotMobile 2021). ML

6. Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Boi Faltings, Sujit Gujar. "Orthos: A Trustworthy AI Framework For Data Acquisition". Proceedings of the 8th International Workshop on Engineering Multi-Agent Systems (EMAS@AAMAS 2020). BC MD

7. Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Sujit Gujar. "FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings". Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). MD

8. Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar "Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs". Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). MD

9. Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar. "Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding". Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2019). MD

Work Experience