Monzurul Amin

Md. Monzurul Amin Ifath

PhD Student at Dalhousie University

About Me

I am a PhD student at Dalhousie University with expertise in stream processing, energy profiling, and machine learning. My research focuses on sustainable AI development and driving innovation in large language model integrated stream processing applications. I work under the supervision of Dr. Israat Haque and mentorship of Dr. Miguel Neves, with an expected graduation in December 2025.

Research Interests

Publications

Journal Papers

  • 2025 streamline: Accelerating Deployment and Assessment of Real-time Big Data Systems
    Md. Monzurul Amin Ifath, Tommaso Melodia, Israat Haque
    IEEE Transactions on Parallel and Distributed Systems (TPDS) (under review)
  • 2025 On the Deployment Feasibility of Message Oriented Middlewares in Mission-critical Applications
    Md. Monzurul Amin Ifath, Miguel Neves, Brandon Bremner, Jeff White, Tomas Szeredi, Tommaso Melodia, Israat Haque
    IEEE Wireless Communications Magazine (under review)

Conference Papers

  • 2023 Fast Prototyping of Distributed Stream Processing Applications with stream2gym
    Md. Monzurul Amin Ifath, Miguel Neves, Israat Haque
    IEEE International Conference on Distributed Computing Systems (ICDCS)

Extended Abstracts/Posters

  • 2024 GreenStream: Enabling Sustainable LLM Inference in Stream Processing (Best Runner-up Poster Award)
    Md. Monzurul Amin Ifath, Israat Haque
    International Conference on Collaborative Advances in Software and COmputiNg (CASCON)
  • 2024 Automated Configuration Parameter Tuning in Distributed Messaging Systems
    Emmanuel Etti, Md. Monzurul Amin Ifath, Israat Haque
    International Conference on Collaborative Advances in Software and COmputiNg (CASCON)
  • 2021 Raptor: rapid prototyping of distributed stream processing applications at scale
    Md. Monzurul Amin Ifath, Miguel Neves, Israat Haque
    International Conference on emerging Networking EXperiments and Technologies (CoNEXT)

Education

Work Experience

Featured Projects

Technical Skills

Programming

Python (Pandas, PyTorch, NumPy, Scikit-learn), C/C++, Java, PHP, C#, HTML/CSS, SQL, Assembly

Platforms and Tools

Apache Kafka, Apache Spark, Apache Flink, RabbitMQ, Mininet, NS3, Wireshark

Development Tools

Linux, Shell (Bash), LaTeX (Overleaf), Microsoft Office, Git

Honors and Awards