Kazi Monzure Khoda

Assistant Professor, Department of Chemical and Biological Engineering, South Dakota School of Mines and Technology, 2023 - Present
Post-Doctoral Associate, Texas A&M Energy Institute, 2022 - 2023
Post-Doctoral Fellow, Department of Chemical Engineering, Qatar University, 2013 - 2022
Ph.D., Nanyang Technological University, Singapore, 2013
B.S., Bangladesh University of Engineering and Technology, 2008

Biography

Kazi Monzure Khoda is an assistant professor in the Department of Chemical and Biological Engineering at the South Dakota School of Mines and Technology. He was a postdoctoral research associate at the Texas A&M Energy Institute. He earned his Ph.D. in Chemical Engineering from Nanyang Technological University, Singapore (2013). He completed his B.Sc. in Chemical Engineering from Bangladesh University of Engineering and Technology (2008). His PhD work primarily focused on process system engineering methods for sustainable process integration, risk assessment, and the inclusion of safety in design. He is co-author of more than 30 peer-reviewed journal articles. He is also a certified blockchain developer by IBM and HarvardX, especially an expert on harnessing data with artificial intelligence and machine learning through data-driven methods (e.g., ANN, CNN, and GA) to enhance the industry 4.0 supply chain.

Research Interests

Foundations (Process Systems Engineering, Machine Learning, Quantum Computing)

Sustainable process design, integration, optimization, and control
Hybrid mechanistic/data-driven modelling
Blockchains and game-theoretic approaches for resilient supply chains
Quantum mixed-integer and constrained optimization, hybrid quantum/classical computing for optimization

Applications (Energy and the Environment, Supply Chain Management, Materials & Process Design, Process Safety)

Industrial Safer Flare Management
Sustainable hydrogen infrastructure for equitable low-carbon development
Carbon capture, utilization, and storage (CCUS) in clean energy transitions
Smart additive manufacturing

Teaching Experience

Assistant Professor (Karen M. Swindler Department of Chemical and Biological Engineering, South Dakota School of Mines and Technology)

CBE 605 – Applied Engineering Mathematics

Application of a broad range of advanced mathematical techniques to engineering analysis, specifically focusing on fundamentals of analytic solutions. Mathematical modeling, scaling, dimensional analysis, regular and singular perturbations, asymptotic analysis, linear and nonlinear ordinary and partial differential equations, linear vectors spaces, tensors analysis, similarity solutions, Fourier and integral transforms, statistics, initial and boundary value problems, data analysis, and curve fitting may be covered.

CBE/MET 433 – Process Control

Theoretical models of chemical processes, dynamic behaviour of processes, feedback and feedforward control, advanced process control including dynamic responses of measuring instruments, control elements, stability of control systems, and process equipment included in control loops, and application of process control concepts in biological systems. Numerical methods and mathematical packages such as Python (and MATLAB) that form the basis for computational methods will be emphasized.

Co-Instructor (Texas A&M Energy Institute, Texas A&M University)

ICPE 618 - Carbon Capture, Utilization, and Storage - MS in Energy Elective Course, Texas A&M Energy Institute, Texas A&M University

The fundamental concepts of various CO2 capture and utilization processes, methods for technology comparison, and the basic economics of carbon management and relevant PSE issues for CCUS implementation.

Guest Lecture and Course Design (College of Engineering, Qatar University)

EEMP 626 – Clean Energy Resources - Graduate course, Department of Chemical Engineering, Qatar University

Co-designed the course outline and the evaluation process with Dr. Eljack for this graduate-level course. I was also invited for two guest lectures on the usage of databases for research and on Hydrogen as a clean energy source.

Awards and Honors

Best Postdoc Researcher in the Department of Chemical Engineering, Qatar University (2017)
Best Paper Presentation (in Integrated Process Engineering and Economics Analysis session) - AIChE Annual Meeting, Salt Lake City, Utah, USA (2015)
Best Poster Award - “My Gateway to Research”, Qatar University (2015)
Graphical system design achievement awards - National Instruments ASEAN (LabVIEW) (2011)

Publications

Selected Peer-Reviewed Journal Papers:

Sadah Mohammed, Fadwa Eljack, Monzure-Khoda Kazi, and Mert Atilhan. Development of a deep learning-based group contribution framework for targeted design of ionic liquids. Computers & Chemical Engineering, Elsevier, vol. 186, July 2024, 108715 (https://doi.org/10.1016/j.compchemeng.2024.108715)
Sadah Mohammed, Fadwa Eljack, Saad Al-Sobhi, and Monzure-Khoda Kazi. A systematic review: The role of emerging carbon capture and conversion technologies for energy transition to clean hydrogen. Journal of Cleaner Production, Elsevier, vol. 447, April 2024, 141506 (https://doi.org/10.1016/j.jclepro.2024.141506)
Monzure-Khoda Kazi, and E. Mahdi. Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network. Composites Part C, Elsevier, vol. 13, March 2024, 100440 (https://doi.org/10.1016/j.jcomc.2024.100440)
Monzure-Khoda Kazi, and M. M. Faruque Hasan. Optimal and secure peer-to-peer carbon emission trading: A game theory informed framework on blockchain. Computers & Chemical Engineering, Elsevier, Pergamon, 2024, vol. 180, p. 108478 (https://doi.org/10.1016/j.compchemeng.2023.108478)
Mohammad Shahab-Deljoo, Bijan Medi, Monzure-Khoda Kazi, and Mostafa Jafari. A techno-economic review of gas flaring in Iran and its human and environmental impacts. Process Safety and Environmental Protection, Elsevier, Vol. 173, May 2023, p. 642-665 (https://doi.org/10.1016/j.psep.2023.03.051)
M. M. Faruque Hasan, Manali S Zantye, and Monzure-Khoda Kazi. Challenges and opportunities in carbon capture, utilization and storage: a process systems engineering perspective. Computers & Chemical Engineering, Elsevier, Pergamon, 2022, vol. 166, p. 107925 (https://doi.org/10.1016/j.compchemeng.2022.107925)
Monzure-Khoda Kazi, and Fadwa Eljack. Practicality of green H2 economy for industry and maritime sector decarbonization through multiobjective optimization and RNN-LSTM model analysis. Industrial & Engineering Chemistry Research, American Chemical Society, 2022, vol. 61(18), p. 6173-6189 (https://doi.org/10.1021/acs.iecr.2c00757)
Monzure-Khoda Kazi, Fadwa Eljack, and E. Mahdi. Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques. Composite Structures, Elsevier, 2022, 279, 114858 (https://doi.org/10.1016/j.compstruct.2021.114858)
Mariam Soliman, Fadwa Eljack, Monzure-Khoda Kazi, Fares Almomani, Elalim Ahmed, and Ziad El Jack. Treatment technologies for cooling water blowdown: A critical review. Sustainability, 2022, vol. 14, issue 1, p. 376 (https://doi.org/10.3390/su14010376)
Ahmed Elrahmani, Jameel Hannun, Fadwa Eljack, and Monzure-Khoda Kazi. Status of renewable energy in the GCC region and future opportunities. Current Opinion in Chemical Engineering, 2021, vol. 31, (https://doi.org/10.1016/j.coche.2020.100664)
Monzure-Khoda Kazi, Fadwa Eljack, and E. Mahdi. Data-driven modeling to predict the load vs displacement curves of targeted composite materials for Industry 4.0 and smart manufacturing. Composite Structures, Elsevier, 2020, 258, 113207 (https://doi.org/10.1016/j.compstruct.2020.113207)
Monzure-Khoda Kazi, Fadwa Eljack, Mahmoud M. El-Halwagi, and Mohamed Haouari. Green hydrogen for industrial sector decarbonization: costs and impacts on hydrogen economy in Qatar. Computers and Chemical Engineering Journal, Elsevier, 2020, vol 145, 107144 (https://doi.org/10.1016/j.compchemeng.2020.107144)
Monzure-Khoda Kazi, Fadwa Eljack, and E. Mahdi. Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves. Composite Structures, Elsevier, 2020, 112855 (https://doi.org/10.1016/j.compstruct.2020.112885)
Monzure-Khoda Kazi, Fadwa Eljack, and E. Mahdi. Optimal filler content for cotton fiber/PP composite based on mechanical properties using artificial neural network. Composite Structures, Elsevier, 2020, vol 251 (https://doi.org/10.1016/j.compstruct.2020.112654)
Ahmed Yasir, Fadwa Eljack, Mohammad Amanullah, and Monzure-Khoda Kazi. Synthesis of water capture technologies for gas fired power plants in Qatar. Chemical Engineering Research and Design, Elsevier, 2020, vol 154, p.171-181 (https://doi.org/10.1016/j.cherd.2019.12.013)
Monzure-Khoda Kazi, Fadwa Eljack, Saad Ali Al-Sobhi, Nikolaos Kazantzis, and Vasiliki Kazantzi. Application of i-SDT for safer flare management operation. Process Safety and Environmental Protection, Elsevier, 2019, vol. 132, p. 249-264 (https://doi.org/10.1016/j.psep.2019.10.023)
Amith Khandakar, Muhammad E. H. Chowdhury, Monzure-Khoda Kazi, Kamel Benhmed, Farid Touati, Mohammed Al-Hitmi, and Antonio Jr S. P. Gonzales. Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar. Energies, 2019, vol 12(14), p.2782 (https://doi.org/10.3390/en12142782)
Fadwa Eljack, Monzure-Khoda Kazi, and Vasiliki Kazantzi. Inherently safer design tool (i-SDT): A property-based risk quantification metrics for inherently safer design during the early stage of process synthesis. Journal of Loss Prevention in the Process Industries, Elsevier, 2019, vol 57, p.280-290 (https://doi.org/10.1016/j.jlp.2018.12.004)
Vasiliki Kazantzi, Monzure-Khoda Kazi, Fadwa Eljack, Mahmoud M. El-Halwagi and Nikolaos Kazantzis. A pinch analysis approach to environmental risk management in industrial solvent selection. Clean Technologies and Environmental Policy, Springer, 2018, p.1-16 (https://doi.org/10.1007/s10098-018-1640-1)
Monzure-Khoda Kazi, Fadwa Eljack, Mohammad Amanullah, Ahmed AlNouss and Vasiliki Kazantzi. A process design approach to manage the uncertainty of industrial flaring during abnormal operations. Computers & Chemical Engineering, Elsevier, 2018, vol 117, p.191-208 (https://doi.org/10.1016/j.compchemeng.2018.06.011)
Ahmed Mhd Nabil AlNouss, Monzure-Khoda Kazi, Fahd Mohammed, and Fadwa Eljack. Integrated data (i-DATA), mining and utilization approach for effective flare management strategies. Journal of Industrial and Engineering Chemistry Research, ACS publication, 2017, 56, (10), 2789-2803. (https://doi.org/10.1021/acs.iecr.6b01774)
Fadwa Eljack and Monzure-Khoda Kazi. Process safety and abnormal situation management (review paper). Current Opinion in Chemical Engineering, Elsevier, 2016, vol 14, p 35-41 (http://dx.doi.org/10.1016/j.coche.2016.07.004)
Monzure-Khoda Kazi, Fadwa Eljack, Nesreen A. Elsayed and Mahmoud M. El-Halwagi. Integration of energy and wastewater treatment alternatives with process facilities to manage industrial flares during normal and abnormal operations - A multi-objective extendible optimization framework. Journal of Industrial and Engineering Chemistry Research, ACS publication, 2016, 55, (7), 2020-2034. (https://doi.org/10.1021/acs.iecr.5b03938)
Monzure-Khoda Kazi, Fahd Mohammed, Ahmed Mhd Nabil AlNouss and Fadwa Eljack. Multi-objective optimization methodology to size cogeneration systems for managing flares from uncertain sources during abnormal process operation. Computers and Chemical Engineering, Elsevier, 2015, vol 76, p.76-86 (https://doi.org/10.1016/j.compchemeng.2015.02.012)
Bijan Medi, Monzure-Khoda Kazi, and M. Amanullah. Experimental implementation of improved single-column chromatographic separation process. Journal of Industrial and Engineering Chemistry Research, ACS publication, 2015, 54 (25), pp 6527-6539 (https://doi.org/10.1021/acs.iecr.5b00553)
Bijan Medi, Monzure-Khoda Kazi, and M. Amanullah. Nonlinear direct inverse method: a way to combine nonlinear calibration with isotherm determination. Adsorption, SpringerLink, 2013, 19, 1007-1018, p. 1-12. (https://doi.org/10.1007/s10450-013-9511-x)
Monzure-Khoda Kazi, Bijan Medi, and M. Amanullah. Optimization of an improved single-column chromatographic process for the separation of enantiomers. Journal of Chromatography A, Elsevier, 2012. 1231: p. 22-30. (https://doi.org/10.1016/j.chroma.2012.01.057)

Peer-Reviewed Book Chapter:

Fadwa Eljack, and Monzure-Khoda Kazi. Chapter Eleven - Probabilistic, data-driven, property-based Inherently Safer Design Tool (i-SDT). Methods in Chemical Process Safety, Elsevier, Volume 8, 2024, Pages 333-382. (https://doi.org/10.1016/bs.mcps.2024.07.005)

Peer-Reviewed Conference Proceedings:

Monzure-Khoda Kazi, Akhilesh Gandhi, and M. M. Faruque Hasan. Process and network design for sustainable hydrogen economy. Systems and Control Transactions, LAPSE-2024.1564, 2024, vol. 3, p. 1018 (https://psecommunity.org/LAPSE:2024.1564)
Sadah Mohammed, Fadwa Eljack, Saad Al-Sobhi, and Monzure-Khoda Kazi. Simulation and 3E assessment of pre-combustion CO2 capture process using novel Ionic liquids for blue H2 production. Computers & Chemical Engineering, Elsevier, Volume 53, 2024, Pages 517-522 (https://doi.org/10.1016/B978-0-443-28824-1.50087-9)
Sadah Mohammed, Fadwa Eljack, Saad Al-Sobhi, and Monzure-Khoda Kazi. Development of deep learning framework to predict physicochemical properties for Ionic liquids. Computer Aided Chemical Engineering, Elsevier, 2023, vol. 52, p. 2119-2124 (https://doi.org/10.1016/B978-0-443-15274-0.50337-1)
Monzure-Khoda Kazi, Fadwa Eljack, Saad Ali Al-Sobhi, Vasiliki Kazantzi, Nikolaos Kazantzis. Characterization of industrial flaring under uncertainty for the design of optimum flare recovery and utilization systems. Computer Aided Chemical Engineering, Elsevier, 2022, vol. 49, p. 787-792 (https://doi.org/10.1016/B978-0-323-85159-6.50131-7)
Monzure-Khoda Kazi, Fadwa Eljack, Saad Ali Al-Sobhi, Nikolaos Kazantzis and Vasiliki Kazantzi. Process dynamic analysis and control strategy for COGEN option used for flare utilization. Computer Aided Chemical Engineering Book Series, Elsevier, 2019, vol 46, p.1255-1260 (https://doi.org/10.1016/B978-0-12-818634-3.50210-1)
Monzure-Khoda Kazi, Fadwa Eljack and Vasiliki Kazantzi. Managing uncertain industrial flares during abnormal process operations using an integrated optimization and Monte Carlo simulation approach. Computer Aided Chemical Engineering Book Series, Elsevier, 2017, vol 40, 2425-2430 (https://doi.org/10.1016/B978-0-444-63965-3.50406-2)
Fahd M. Mohammed, Monzure-Khoda Kazi, and Fadwa T. Eljack. Tracking of GHG Emissions and Tax Implication During Normal/Abnormal Situations – Ethylene Process Base Case Industrial Application, Proceedings of the 4th International Gas Processing Symposium - Advances in gas processing, 2015. Elsevier, p. 251. (https://doi.org/10.1016/B978-0-444-63461-0.50026-2)
Bijan Medi, Monzure-Khoda Kazi, and M. Amanullah. Optimal performance of single-column chromatography and simulated moving bed processes for the separation of optical isomers. IOP Conference Series: Materials Science and Engineering, IOP Publishing, 2013, 46, 012021. (https://doi.org/10.1088/1757-899X/46/1/012021)