Syed Nazmus Sakib

I am a final-year student in Robotics and Mechatronics Engineering at the University of Dhaka. My research focuses on multimodal and agentic AI, trustworthy decision-making, and practical machine learning systems for healthcare, agriculture, and critical infrastructure.

I am a Research Assistant at Cortex AI Lab and a Research Intern at the Data and Design Lab (CARS). My recent work includes publications in Scientific Data, Findings of ACL 2026, and Journal of Hydrology: Regional Studies.

Multimodal Learning Vision-Language Models Biomedical AI Agentic AI Trustworthy AI Reinforcement Learning

Research

Publications & Pre-Prints

Groundwater recharge prediction study overview

Predicting Groundwater Recharge Potential across Various Physiographic Divisions of Bangladesh using Generative Data Augmentation

Md. Ashraful Islam, Syed Nazmus Sakib, Almahmud Taha, Mahfuzur R. Khan, Monira Jahan Tania, Tanvir Hossain, Sheikh Touhiduzzaman, Shifat E. Arman

Acceptedat Journal of Hydrology: Regional Studies · 2026

MemeEconomy experimental framework

MemeEconomy: Do LLM Agents Trade Ethics for Survival?

Preprint2026

Research & Professional Experience

Cortex AI Lab, University of Dhaka

Research Assistant

  • Conduct research on agentic AI and collaborative multi-agent systems, focusing on coordinated reasoning, task decomposition, and autonomous decision-making in complex environments.
  • Investigate safety and alignment of multi-agent systems, including:
    • Behavior of LLM agents under competitive and survival pressures
    • Adversarial robustness and prompt-injection attack surfaces
    • Investigation and context-discovery behavior in autonomous web agents
  • Develop vision-language systems for plant-pathology reasoning, building intent-driven visual question answering benchmarks and chain-of-inquiry evaluation pipelines.
  • Design and evaluate multimodal VQA pipelines for robustness, interpretability, and trustworthy decision support.

Data and Design Lab (CARS), University of Dhaka

Research Intern

  • Led large-scale analysis of power quality and reliability across multiple power distribution regions in Bangladesh.
  • Processed and modeled heterogeneous data sources including:
    • Power quality meter data
    • Load and consumption profiles
    • Industrial and consumer billing records
  • Developed machine learning pipelines for failure prediction, anomaly detection, early fault identification, and load/demand forecasting.
  • Built automated data engineering and model deployment workflows for scalable monitoring of power system health.
  • Contributed to the development of an electricity-domain conversational assistant, enabling users to query billing issues, outages, and power quality concerns through natural language.

Robodemy

Trainer

  • Designed and implemented IoT-based robotic systems integrating microcontrollers, wireless communication, and real-time monitoring.
  • Conducted structured training on robotics fundamentals, embedded systems, and algorithmic problem solving for competitive and research-oriented robotics.

Tech Topia, Dhaka

R&D Engineer

  • Developed embedded robotic systems using Arduino and ESP32 platforms.
  • Designed industrial IoT solutions for monitoring, control, and automation.
  • Implemented hardware-software integration for real-time sensing, actuation, and edge-level decision making.

Engineering

Selected Projects

Mobile Differential Drive Robot

Full Gazebo simulation and ROS2 control stack with URDF/Xacro modeling and an integrated robotics pipeline.

ROS2GazeboURDF/XacroPython

EDAPipeline

Automated exploratory-data-analysis package with visualization, outlier detection, and correlation analysis.

PythonPandasMatplotlibScikit-learn

Pathfinding Visualizer

Interactive visualizer for DFS, A*, and Dynamic A* with real-time animation in Pygame.

PythonPygameA*DFS

RMEDU Robotronics Fest Website

Responsive event website for the university's annual Robotronics Festival.

Next.jsTypeScriptReact

Recognition

Awards & Competitions

  • Global Nominee · NASA Space Apps Challenge
  • Runner-up · DU AI Challenge
  • Runner-up · KUET Datathon
  • Runner-up · Technocrats V2 IUBAT Hackathon
  • Regional Champion · National High School Programming Contest
  • Kaggle Expert · Multiple podium finishes in ML competitions