Opportunities:

Opportunities for graduate studies will be posted here when they are available.

However, students with 85% or above in their B.Sc. and M.Sc. are always encouraged to apply as there may be special opportunities for exceptionally talented students.

 Then Peter, filled with the Holy Spirit, said to them: “Rulers and elders of the people!  If we are being called to account today for an act of kindness shown to a man who was lame and are being asked how he was healed, then know this, you and all the people of Israel: It is by the name of Jesus Christ of Nazareth, whom you crucified but whom God raised from the dead, that this man stands before you healed. Jesus is

“‘the stone you builders rejected,
    which has become the cornerstone.’

Salvation is found in no one else, for there is no other name under heaven given to mankind by which we must be saved.”

Acts 4:8-12

 

 

 

 

 

 

 

 

 

 

Refereed Journal Articles (total of 51)

IJPR Cover Page IJAMT Cover Page EJOR Cover Page C&IE Cover Page
ITOR Cover Page IJPE Cover Page JMS Cover Page JOR Cover Page
  1. Al-Wajidi, W., Eltaggaz, A., Defersha, F., and Deiab, I. (2024). Multi-objective optimization and experimental investigation of friction stir welding under Minimum quantity lubrication. Journal of Process Mechanical Engineering, Part E (Accepted).
  2. Touhid, M.T.B., Marne, M., Oskroba, T., Mirahmadi, S. A., Zhu, E., Mehrabian, A., Defersha, F., Yang, S., (2023). Building a cloud-based digital twin for remote monitoring and control
    of a robotic assembly system. International Journal of Advanced Manufacturing Technology. Accepted
  3. Naser, A.Z., Defersha, F., and Yang, S. (2023), Feature selection and framework design toward data-driven predictive sustainability assessment and optimization for additive manufacturing, Transactions of the Canadian Society for Mechanical Engineering. Accepted
  4. Naser, A.Z., Defersha, F., Xu, X., and Yang, S. (2023), Automating life cycle assessment for additive manufacturing with machine learning: framework design, dataset buildup, and a case study. Journal of Manufacturing Systems. Vol. 71, 504-526
  5. Naser, A.Z., Defersha, F., Pei, E., Zhao, Y.F., and Yang, S. (2023), Toward automated life cycle assessment for additive manufacturing: A systematic review of influential parameters and framework design. Sustainable Production and Consumption Vol. 41, 253–274.
  6. Defersha, F.M., Obimuyiwa, D., and Yimer, A. D. (2022), Mathematical Model and Simulated Annealing Algorithm for Setup Operator Constrained Flexible Job Shop Scheduling Problem. Computers and Industrial Engineering, Vol. 171, 108487.
  7. Tahsien, S. M., and Defersha, F.M. (2022), Discriminating and Clustering Ordered Permutations using Artificial Neural Network: A Potential Application in ANN-Guided Genetic Algorithm. Applied Sciences Vol 12, 7784.
  8. Rooyani, D., and Defersha, F., (2022). A Two-Stage Multi-Objective Genetic Algorithm for a Flexible Job Shop Scheduling Problem with Lot Streaming. Algorithms, Vol. 15, 246.
  9. Patel P., Defersha, F., and Yang, S. (2022). Resilience analysis of additive manufacturing enabled supply chains: an exploratory study. Frontiers in Manufacturing Technology, Vol. 2, Article 884164.
  10. Naser, A. Z., Deiab, I., Defersha, F., and Yang, S. (2021). Expanding Poly(lactic acid) (PLA) and Polyhydroxyalkanoates(PHAs) Applications: A Review on Modifications and Effects. Polymers, Vol. 13, 4271.
  11. Defersha, F. M., and Rooyani, D. (2020). An Efficient Two-Stage Genetic Algorithm for a Flexible Job-shop Scheduling Problem with Sequence Dependent Attached/Detached Setup, Machine Release Date and Lag-Time, Computers & Industrial Engineering, Vol. 147, 106605.
  12. Roy, P., Defersha, F., Rodriguez-Uribe, A., Misra, M., and Mohanty, K.(2020). Evaluation of the life cycle of an automotive component produced from biocomposite. Journal of Cleaner Production, Vol. 273, 123051.
  13. Gowman, A., Rodriguez-Uribe, A., Defersha, F., Misra, M., and Mohanty, A. K., (2020). Statistical design of sustainable composites from poly(lactic acid) and grape pomace, Journal of Applied Polymer Science, Vol. 137, 49061.
  14. Tadele, D., Roy, P., Defersha, F., Misra, M., and Mohanty, K.(2020). A comparative life cycle
    assessment of talc and biochar reinforced composites for light-weight automotive parts, Clean Technologies and Environmental Policy, Vol. 22, 639-649.
  15. Tadele, D., Roy, P., Defersha, F., Misra, M., and Mohanty, K.(2019). Life Cycle Assessment of renewable filler material (biochar) produced from perennial grass (Miscanthus), AIMS Energy, Vol. 7, 430-440
  16. Roy, P., Tadele, D., Defersha, F., Misra, M., and Mohanty, K.(2019). Environmental and economic prospects of biomaterials in the automotive industry, Clean Technologies and Environmental Plicy,Vol. 21, 1535-1548
  17. Paul, S., Dutta, A., Thimmanagarib, M., and Defersha, F.(2019). Techno-economic assessment of corn stover for hybrid bioenergy production: A sustainable approach. Case Studies in Thermal Engineering, Vol. 13, 100408
  18. Al-Wajidi, W., Deiab, I., Defersha, F. and Elsayed, A. (2019). Effect of MQL on the microstructure and strength of friction stir welded 6061 Al alloy, International Journal of Advanced Manufacturing Technology, Vol. 101, 901-912.
  19. Paul, S., Dutta, A., and Defersha, F.(2018). Biocarbon, biomethane and biofertilizer from corn residue: A hybrid thermo-chemical and biochemical approach. Energy, Vol. 165, 370-384
  20. Defersha, F. M., and Mohebalizadehgashti, F. (2018). Simultaneous Balancing, Sequencing, and Workstation Planning for a Mixed Model Manual Assembly Line using Hybrid Genetic Algorithm. Computers & Industrial Engineering, Vol. 119, 370-387. Download PDF
  21. Defersha, F. M., and Bayat Movahed, S. (2018). Linear programming assisted (not embedded) genetic algorithm for flexible jobshop scheduling with lot streaming. Computers & Industrial Engineering, Vol. 117, 319-335. Download PDF
  22. Paul, S., Dutta, A., and Defersha, F.(2018). Mechanical and Alkaline Hydrothermal Treated Corn Residue Conversion in to Bioenergy and Biofertilizer: A Resource Recovery Concept. Energies, Vol. 11, 516
  23. Paul, S., Dutta, A., Defersha, F., and Dubey, B. (2018). Municipal Food Waste to Biomethane
    and Biofertilizer: A Circular Economy Concept. Waste and Biomass Valorization, Vol. 9, 601-
    611
  24. Defersha, F. M, and Hodiya, A. (2017). A Mathematical Model and a Parallel Multiple Search Path Simulated Annealing for an Integrated Distributed Layout Design and Machine Cell Formation, Journal of Manufacturing Systems, Vol. 43, 195-212. Download PDF
  25. Shafigh, F.,  Defersha, F. M., and Moussa, S.E., (2017). A Linear Programming Embedded Simulated Annealing in the Design of Distributed Layout with Production Planning and Systems Reconfiguration, Journal of Advanced Manufacturing Technology, Vol. 88, 1119-1140 (click here to read).
  26. Muthuraj, R., Misra, M., Defersha, F., and Mohanty, A. K., (2016). Influence of processing parameters on the impact strength of biocomposites: A statistical approach. Composites: Part A: Applied Science and Manufacturing, Vol. 83, 120-129.
  27. Defersha, F. M., (2015) A Simulated Annealing with Multiple Search Paths and Parallel Computation for a Comprehensive Flowshop Scheduling Problem. International Transactions in Operational Research, Vol. 22, 669-691 Download PDF
  28. Shafigh, F.,  Defersha, F. M., and Moussa, S.E., (2015). A mathematical model for the design of distributed layout by considering production planning and system reconfiguration over multiple time periods. Journal of Industrial Engineering International, Vol.11, 283-295.
  29. Liu, Y., Chang, S., Defersha, F. M., Guo, Q., and Chen, R., (2015). Characterization of Proton Binding Properties of Extracellular Polymeric Substances in an Expanded Granular Sludge Bed Using Linear Programming Analysis. Accepted and published online in the Journal of Advances in Biology & Biotechnology, ISSN: 2394-1081.
  30. Liu, Y., Chang, S., and Defersha, F. M., (2015). Characterization of the proton binding sites of extracellular polymeric substances in an anaerobic membrane bioreactor. Water Research, Vol. 78, 133143.
  31. Zarrinbakhsh, N., Defersha1, F. M., Mohanty, A. K., and Misra, M. (2014) A Statistical Approach to Engineer a Biocomposite Formulation from Biofuel Coproduct with Balanced Properties. Journal of Applied Polymer Science, Vol. 131(Issue 13).
  32. Defersha, F. M., and Chen, M., (2012). Job shop lot streaming with routing flexibility, sequence-dependent setups, machine release dates and lag time. International Journal of Production Research, Vol. 50, 2331-2352. Download PDF
  33. Defersha, F. M., and Chen, M., (2012) A Mathematical Model and Parallel Genetic Algorithm for Solving Hybrid Flexible Flowshop Lot Streaming Problem. International Journal of Advanced Manufacturing Technology Vol. 62, 246 -265 (click here to read)
  34. Salam, A., Defersha, F. M., and Bhuiyan, N., (2012) A case study to estimate costs using neural networks and regression based models. Decision Science Letters, Vol. 1, 1-10.
  35. Defersha, F. M., Salam, A., and Bhuiyan, N., (2012) A new approach for cost estimation using data envelopment analysis. International Journal of Industrial Engineering Computations, Vol. 3, 817-828.
  36. Salam, A., Defersha, F. M., Bhuiyan, N. F., and Chen, M., (2012) A Case Study on Target Cost Estimation using Genetic Algorithm Trained and Back-Propagation Trained Neural Networks. Journal of Cost Analysis and Parametric , Vol. 5, 87-97.
  37. Salam, A. M., Bandaly, D. and Defersha, F. M., (2011). Optimizing the Design of a Supply Chain Network with Economies of Scale using Mixed Integer Programming. International Journal of Operations Research Vol. 10, No. 4, 398 -415.
  38. Defersha, F.M., and Chen, M., (2011). A Genetic Algorithm for One-Job M-Machine Flowshop Lot Streaming with Variable Sublots. International Journal of Operations Research Vol. 10, No. 4, 458 -468.
  39. Herrn, A., Defersha, F. M., Chen, M., and Jess M.de la Cruz J. M., 2011. An integrated multi-period planning of the production and transportation of multiple petroleum products in a single pipeline system. International Journal of Industrial Engineering Computations, Vol. 2 No. 1, 19-44.
  40. Defersha, F. M., (2011). A Comprehensive Mathematical Model for Hybrid Flexible Flowshop Lot Streaming Problem. International Journal of Industrial Engineering Computations Vol. 2 No. 2, 283-294.
  41. Defersha, F. M., and Chen, M., (2010). A Parallel Genetic Algorithm for a Flexible Job Shop Scheduling with Sequence Dependent Setups. International Journal of Advanced Manufacturing Technology, Vol. 49, 263-279. (click here to read)
  42. Defersha, F. M., and Chen, M.Y., (2010). A Hybrid Genetic Algorithm for Flowshop Lot Streaming with Setups and Variable Sublots. International Journal Production Research, Vol. 48, No. 6, 1705 -1726.
  43. Khataie, A., Defersha, F. M., and Bulgak, A. A.,(2010) A multi-objective optimization approach for order management: Incorporating Activity-Based Costing in supply chains. International Journal of Production Research Vol. 48, 5007 5020.
  44. Defersha, F. M., and Chen, M., (2009) A Simulated Annealing Algorithm for Dynamic System Reconfiguration and Production Planning in Cellular Manufacturing. A special issue in Reconfigurable Manufacturing Systems: Concepts, Technologies and Applications in the International Journal of Manufacturing Technology and Management Vol. 17, 103-124
  45. Cao, D., Defersha, F. M., and Chen M.,(2009) Grouping Operations in Cellular Manufacturing Considering Alternative Routings and the Impact of Run Length Product Quality. International Journal of Production Research on Vol. 47, No. 4, 989-1013.
  46. Defersha, F. M., and Chen, M., (2008) A Parallel Multiple Markov Chain Simulated Annealing for Multi-Period Manufacturing Cell Formation Problems. International Journal of Advanced Manufacturing Technology Vol. 37, No. 1-2, 140-156 (clik here to read)
  47. Defersha, F. M., and Chen, M., (2008) A Linear Programming Embedded Genetic Algorithm for an Integrated Dynamic Cell Formation and Lot Sizing Considering Product Quality. European Journal of Operational Research Vol. 187, 46-69 Download PDF
  48. Defersha, F. M., and Chen, M., (2008) A Parallel Genetic Algorithm for Dynamic Cell Formation in Cellular Manufacturing Systems. International Journal of Production Research Vol. 46, 6389– 6413 Download PDF
  49. Hu, B., Chen, M., and Defersha, F. M., (2007). An Integrated Method for Multi-Objective Cell Formation in Cellular Manufacturing Systems. International Journal of Manufacturing Technology Management. Vol. 11, No. 3/4, 355–372
  50. Defersha, F. M., and Chen, M., (2006). Machine Cell Formation Using a Mathematical Model and a Genetic Algorithm Based Heuristic. International Journal of Production Research. Vol. 44, No. 12, 2421–2444 Download PDF
  51. Defersha, F. M., and Chen, M., (2006). A Comprehensive Mathematical Model for the Design of Cellular Manufacturing System. International Journal of Production Economics. Vol. 103, No. 2, 767-783 Download PDF