๐Ÿ’ผ Experience

Research and industry experience

Research roles at the intersection of metal additive manufacturing, machine learning, and optimization, plus industry and shop-floor training.

๐Ÿ”ฌ Research

Research positions

  1. ๐Ÿ”ฌ Graduate Research Assistant

    Jan 2025 to present

    AnalyticsIQ Lab, Louisiana State University · Baton Rouge, LA, USA

    Doctoral research on trustworthy autonomy for cyber-physical systems in metal additive manufacturing. Co-authored a successful NSF proposal and support experimental infrastructure that integrates thermal, optical, and electrical sensors on a wire arc additive manufacturing (WAAM) platform.

    • Developing a physics-informed convolutional neural network (PI-CNN) that fuses multimodal in-situ WAAM signals for real-time porosity detection, validated with X-ray computed tomography (XCT).
    • Formulating a physics-guided LSTM fatigue model that links process-induced defects to structural performance by combining fracture mechanics with deep learning.
    • DrinkSafe LA (National Academies Gulf Research Program and NOAA): built and debugged Python data pipelines for water-quality indicators and supported resilience modeling.
    • WAAM
    • Physics-informed ML
    • Edge AI
    • XCT
  2. ๐Ÿš€ Founder and Director

    Jan 2022 to present

    Computational Intelligence and Operations Lab (CIOL) · Sylhet, Bangladesh (remote)

    Founded an open research and learning lab connecting Industrial Engineering and AI. I mentor students and lead projects on graph neural networks, optimization, and decision-focused learning for supply-chain and manufacturing problems.

    • Developed SupplyGraph, a benchmark dataset and framework for multi-echelon supply-chain planning with GNNs.
    • Proposed a decision-focused learning pipeline for inventory routing, so neural models optimize downstream decisions under uncertainty.
    • Organized seminars and bootcamps on explainable AI, higher-education pathways, and research translation.
    • Graph ML
    • Optimization
    • Mentoring
  3. ๐Ÿงฎ Undergraduate Researcher

    Jun 2022 to Dec 2022

    Department of Industrial and Production Engineering, SUST · Sylhet, Bangladesh

    Applied optimization and algorithm design to educational timetabling and scheduling systems.

    • Built an automated timetabling system with genetic algorithms, modeling hard and soft constraints for better schedules.
    • Managed data processing, evaluation, and feasibility checks for conflict-free timetables.
    • Genetic Algorithms
    • Scheduling
๐Ÿ‘จโ€๐Ÿซ Teaching

Teaching and mentoring

๐Ÿง‘โ€๐Ÿซ Undergraduate Research Mentor

AnalyticsIQ Lab, LSU · 2024 to present

Directing two undergraduate researchers in designing and running experiments for cyber-physical manufacturing systems, with hands-on guidance on AI-driven sensing, data pipelines, and manufacturing analytics.

๐Ÿ“š Instructor and Mentor

CIOL Winter ML Bootcamp · Jan 2024

Delivered sessions on explainable AI and translating code to research, and mentored a cohort of about 20 students.

๐Ÿญ Industry

Industry and training

๐Ÿ’ป Information Technology Intern

IDLC Finance PLC

Sep 2024 to Dec 2024 · Dhaka, Bangladesh

Supported secure IT operations and workflow automation for enterprise finance systems.

๐Ÿญ Industrial Trainee

Training Institute for Chemical Industries (TICI)

Dec 2023 · Dhaka, Bangladesh

Hands-on training in operations processes, instrumentation and control, engineering materials, welding technology, and industrial safety.

๐Ÿ› ๏ธ Industrial Training

BITAC

Dec 2022 (10-day program) · Bangladesh

Machine shop operations, industrial safety, and advanced manufacturing fundamentals.