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Graduate Research Assistant

University of Tennessee, Knoxville

Developing computational tools for metabolic network modeling and analysis. Applying machine learning techniques to biological systems. Working on modular cell design and microbial community optimization.

• Metabolic network modeling
• Machine learning applications in biology
• Modular cell design
• Omics data analysis

Research Officer

International Centre for Diarrhoeal Disease Research, Bangladesh (iccdr,b)

Worked on environmental health projects focused on air pollution reduction. Analyzed data from brick manufacturing industry to develop pollution mitigation strategies.

• Environmental data analysis
• Statistical modeling
• Air pollution mitigation

Co-Founder & Chairman

Bohubrihi

Co-founded an edtech startup providing professional technical education in Bengali. Led strategic direction and organizational growth. Successfully exited through acquisition by Shikho in 2021.

• EdTech platform development
• Reached 70,000+ students
• Data science course creation
• Successful exit through acquisition

M.S.

University of Tennessee, Knoxville

Chemical Engineering

• Computational biology
• Metabolic engineering

Ph.D.

University of Tennessee, Knoxville

Chemical Engineering

• Metabolic network modeling
• Synthetic biology
• Machine learning applications in biology
• Systems biology

B.Sc.

Bangladesh University of Engineering and Technology (BUET)

Chemical Engineering

• Process modeling
• Machine learning
• Chemical process simulation

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

2025 AIChE Annual Meeting

A novel multi-objective optimization framework for scalable biomanufacturing that leverages modular cell design principles and optimal resource allocation strategies.

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

Biotechnology Advances

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.

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

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

Thermodynamic and kinetic modeling of hydrogen production through dry reforming of natural gas, investigating reaction mechanisms and optimization strategies.

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

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

A deep learning approach for room occupancy detection using environmental sensor data including temperature, light, humidity, and carbon dioxide measurements.