Chaher Alzaman

Chaher Alzaman's work covers topics such as data analysis, decision trees, neural networks, andclassical statistical models. He holds a Ph.D. in algorithm design for solvingnonlinear systems, bringing a strong foundation in computational methods to hisacademic and research pursuits. Alzaman’s research focuses on leveraging neuralnetworks as forecasting tools and exploring the role of big data in predictiveanalytics. He has designed and implemented a wide range of learning algorithms,including Neural Networks, LSTM, Random Forest, KNN, SVM, and Genetic-basedalgorithms. His work in Data Analytics and Optimization spans projects in WarehouseManagement Systems, Bike Sharing Systems, Real Estate Markets, and FinancialMarkets. 

Alzaman, C. (2025). Optimizing portfolio selectionthrough stock ranking and matching: A reinforcement learning approach. Expert Systems with Applications, 269,126430.

Alzaman, C. (2024). Deep learning in stock portfolioselection and predictions. Expert Systemswith Applications, 237, 121404.

Alzaman, C., Aljuneidi, T.,& Li, Z. (2023). Predicting BikeUsage and Optimizing Operations at Repair Shops in Bike Sharing Systems. IEEE Access, 11, 32534-32547.

Alzaman, C. (2023). Forecasting and optimizationstock predictions: Varying asset profile, time window, and hyperparameterfactors. Systems and Soft Computing,5, 200052.

Zheng, J., Alzaman, C., &Diabat, A. (2023). Big dataanalytics in flexible supply chain networks. Computers & Industrial Engineering, 109098.

Liao, Y., Diabat, A., Alzaman,C., & Zhang, Y. (2020). Modelingand heuristics for production time crashing in supply chain network design. Annals of Operations Research, 288,331-361.

Hong, J., Alzaman, C., Diabat,A., & Bulgak, A. (2019). Sustainabilitydimensions and PM 2.5 in supply chain logistics. Annals of Operations Research, 275, 339-366.

Supply chain network design with direct andindirect production costs: Hybrid gradient and local search based heuristics(2018).  International Journal ofProduction Economics. 203. 203-215.

Extreme Gradient Boosting,Deep Long Short-Term Memory and Rank Networks in Financial MarketPredictions:  Optimization and FeatureEngineering, Submitted to Computers and Operations Research, under review.

Forecasting and OptimizationStock Predictions: Varying asset profile, time window, and hyper-parameterfactors.  Knowledge-Based Systems. UnderReview.

RecentConferences

2024    Alzaman, C. (2024). CARMA, InternationalConference on Advanced Research Methods and Analytics.  Unlocking the Potential of Machine Learningin Portfolio Selection: A Hybrid Approach with Genetic Optimization

2023   Alzaman, C. (2023).  LION, 17th Learning and IntelligentOptimization. Optimizing Product Offerings with Deep Reinforcement Learning.

Publications(full list)

2025    Alzaman, C. Optimizing portfolio selection through stock rankingand matching: A reinforcement learning approach. Expert Systems withApplications, 269, 126430.

2024    Alzaman, C. (2024). Deep learning instock portfolio selection and predictions. Expert Systems with Applications,237, 121404.

2023    Alzaman,C., Aljuneidi, T., & Li, Z. (2023). Predicting Bike Usage andOptimizing Operations at Repair Shops in Bike Sharing Systems. IEEE Access, 11,32534-32547.

2023    Alzaman, C. (2023).Forecasting and optimization stock predictions: Varying asset profile, timewindow, and hyperparameter factors. Systems and Soft Computing, 5, 200052.

2023    Zheng, J., Alzaman, C., & Diabat, A. (2023). Big data analytics in flexible supply chain networks.Computers & Industrial Engineering, 109098.

2020.   Modeling and heuristics for production timecrashing in supply chain network design. Annals of Operations Research,1-31. 2020.

2019.   Sustainability dimensions and PM2.5 in supply chain logistics. Annals of Operations Research,275(2), 339-366. 2019.

2018.   Supplychain network design with direct and indirect production costs: Hybrid gradientand local search based heuristics.  InternationalJournal of Production Economics. 203. 203-215. 2018.

2019. Urban Transportation Activities: Considering the Economic, Social, andEcological Dimensions.  PROLOG: TheInternational Conference on Project & Logistics, IAE Metz School ofManagement, Université de Lorraine, 19-21 June 2019

2010. Gradient method in solving nonlinearcost of quality functions in supply chain network design, International Journal of Management Science and Engineering Management,5(6): 411-421.

2014. Green supply chain modelling:literature review, International Journal of Business Performance and SupplyChain Modelling, Vol.6, No.1,pp.16 – 39.

2016. Agent-based model for urban spatialstructures and travel behaviour within the context of the sustainabilitydimensions. International Journal of theBuilt Environment and Asset Management, 2(1), 1-24,.

2013. Comprehensive Strategy Analysis for aLeading Firm in the UAE Precision Tooling Industry, Journal of Business and Financial Affairs, 2:107.

2011. Hybrid Genetic and Gradient BasedSolution Procedure in Solving a Supply Chain Model, Journal of Operations andLogistic, volume 4, issue 3,pg. 56, 2011.

2010. Quality in Operational Supply Chain Networks:  An Aerospace Case Study, International Journal of Operational Research, Vol. 9, No. 4, 2010

2008. Incorporating the Cost ofQuality in Supply Chain Design, Journalof Quality in Maintenance Engineering, volume 14, issue 1, pg. 71-86.

2009. Heuristic Procedures to Solve a BinaryNonlinear Supply Chain Model:  A CaseStudy from the Aerospace Industry, CIE39, International Conference on Computersand Industrial Engineering, IEEE, Troyes, France. 

2008. Designing the Supply Chainwith a Quality Perspective. ISBN 978-3-639-03135-5, Vdm-Publishing.

2007. Genetic Algorithm Combined with a Gradient Search Method in Solving aSupply Chain Model, InternationalConference on Industrial Engineering and Systems Management, IESM, Beijing,China

2007. Integration of the Cost of Quality in the Supply Chain Design: Astrategic Decision Making Tool, InternationalStrategic Management Conference.

2007. Supply Chain Network Design:  An Aerospace Case Study, Fifth Annual International Symposium on Supply Chain Management,Toronto.

2005. Incorporating Cost ofQuality (COQ) in Supply Chain Design, InternationalConference on Industrial Engineering and Systems Management - IESM'05,Marrakech, 16-19 May 2005.