publications

2025

1. Smart culture medium optimization for recombinant protein production: Experimental, modeling, and AI/ML-driven strategies

   Galib Khan, C. Sanford, and Cong T. Trinh

   Biotechnology Advances, 2025

   Abs DOI

   This comprehensive review explores the integration of experimental approaches, mathematical modeling, and artificial intelligence/machine learning strategies for optimizing culture medium in recombinant protein production. The paper presents state-of-the-art methodologies that combine traditional bioprocess engineering with modern computational techniques to enhance protein yield and quality in biomanufacturing systems.

2. A Multi-Objective Optimization Framework for Scalable Biomanufacturing through Modular Cell Design and Resource Allocation

   Galib Hassan Khan, and Cong T. Trinh

   In 2025 AIChE Annual Meeting, 2025

   Abs

   This work presents a novel multi-objective optimization framework for scalable biomanufacturing that leverages modular cell design principles and optimal resource allocation strategies. The framework addresses the challenge of designing efficient microbial cell factories by balancing multiple competing objectives including productivity, yield, and robustness. The approach enables systematic optimization of metabolic pathways and cellular resources for industrial-scale bioprocessing applications.

2021

1. Room Occupancy Detection from Temperature, Light, Humidity, and Carbon Dioxide Measurements Using Deep Learning

   Galib Hassan Khan, and Md. Akibur Rahman

   In 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2021

   Abs DOI

   This paper presents a deep learning approach for room occupancy detection using environmental sensor data including temperature, light, humidity, and carbon dioxide measurements. The proposed method leverages neural networks to accurately predict room occupancy status, which has important applications in energy management and smart building systems.

2. Modeling Thermodynamic and Kinetic Simulation of Hydrogen Production from Dry Reforming of Natural Gas

   M. G. Toufik Ahmed, Sk. Yasir Arafat Siddiki, Galib Hassan Khan, Kazi Bayzid Kabir, and Kawnish Kirtania

   In 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2021

   Abs DOI

   This study presents thermodynamic and kinetic modeling of hydrogen production through dry reforming of natural gas. The simulation investigates the reaction mechanisms, equilibrium conditions, and kinetic parameters that affect hydrogen yield. Results provide insights for optimizing industrial-scale hydrogen production processes.