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Salah Bouktif

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  Publications Quality

 

Summary of Scholarship  Achievement

Sample of Journal publications

[J1].     S Bouktif, A Cheniki, A Ouni, H El-Sayed Deep reinforcement learning for traffic signal control with consistent state and reward design approach Elsevier Knowledge-Based Systems 267, 110440, 2023 (IF: 8.14, top %5)

[J2].     M Daaji, A Ouni, MM Gammoudi, S Bouktif, MW Mkaouer. "BPEL process defects prediction using multi-objective evolutionary search." Elsevier Journal of Systems and Software vol 204, 111767 (2023) (IF 3.5, Q1)

[J3].     Salah Bouktif, Akib Khanday, and Ali Ouni “Bi-directional LSTM-based COVID-19 detection using Clinical Reports in The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), Volume 23, pp, 2023 (SJR:0.51)

[J4].     K Sellami, A Ouni, MA Saied, S Bouktif, MW Mkaouer Improving microservices extraction using evolutionary search Elsevier Information and Software Technology 151, 106996, 2022 (IF: 3.862, SJR 1.44 ,Q1, top 10%)

[J5].     S Bouktif, A Ouni, S Lazarova-Molnar Towards a rigorous consideration of occupant behaviours of residential households for effective electrical energy savings: An overview Energies 15 (5), 1741 2022, (IF: 3.004, top 25%, Q1)

[J6].      S Bouktif, A Cheniki, A Ouni Traffic signal control using hybrid action space deep reinforcement learning Sensors 21 (7), 2302 , 2021, (IF 3.275 top 25%,Q1)

[J7].      Marwa Daagi  Ali Aouni, Mohamed Gammoudi , Salah Bouktif, and Mohamed Wiem Mkaouer, “Multi-criteria Web Services Selection : Balancing the Quality of Design and Quality of Service in  ACM Transactions on Internet Technology (TOIT 2021) (IF: 3.135 top 25%,Q1)

[J8].      S Bouktif, A Fiaz, A Ouni, MA Serhani Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting MDPI Energies 13 (2), 391(2020), (IF:2.707, top 25%,Q1)

[J9].      H El-Sayed, H Alexander, MA Khan, P Kulkarni, S Bouktif Machine learning based trust management framework for vehicular networks Elsevier Vehicular Communications, 100256 (2020) (IF: 4.706 ,Q1, top 10%)

[J10].   H El-Sayed, HA Ignatious, P Kulkarni, S Bouktif  DyReT: A Dynamic Rule Framing Engine Equipped With Trust Management for Vehicular Networks IEEE Access 8, 72757-72767 (2020), (IF: 4.098, Q1, top 25%).

[J11].    S Bouktif, A Fiaz, M Awad Augmented Textual Features-Based Stock Market Prediction IEEE Access 8, 40269-40282 (2020), (IF: 4.098, Q1, top 25%)

[J12].    N Almarimi, A Ouni, S Bouktif, MW Mkaouer, RG Kula, MA Saied Web service API recommendation for automated mashup creation using multi-objective evolutionary search Elsevier Applied Soft Computing 85, 105830(2019), IF:4.873 (Q1, top 10%)

[J13].    S Bouktif, A Fiaz, A Ouni, MA Serhani Single and multi-sequence deep learning models for short and medium term electric load forecasting MDPI Energies 12 (1), 149 (2019), IF:2.707(Q1, Top 25%)

[J14].    S Boukharata, A Ouni, M Kessentini, S Bouktif, H Wang  Improving web service interfaces modularity using multi-objective optimization Springer Nature Automated Software Engineering 26 (2), 275-312 (2019), IF:2.2 (Q2)

[J15].    MA Serhani, S Bouktif, N Al-Qirim, HT El Kassabi (2019)“Automated system for evaluating higher education programs” in the Springer Nature Education and Information Technologies Journal 24 (5), 3107-3128 (2019) (IF:2.01, Q1 top 25%)

[J16].    A Ouni, H Wang, M Kessentini, S Bouktif, K Inoue A hybrid approach for improving the design quality of web service interfaces ACM Transactions on Internet Technology (TOIT) 19 (1), 1-24 (2019), IF:2.382, Q1, top 25%).

[J17].    Salah Bouktif, Ali Fiaz, Ali Ouni, and M. Adel Serhani (2018) Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches, MDPI Energies 2018, 11(7) (IF 2.67, Q1)

[J18].    Salah Bouktif and Waleed K. Ahmed “Monitoring System for Residential Energy Consumption” Journal of New Computer Architectures and their Applications 5(4): 156-164, 2016

[J19].    Ahmed, F.; Capretz, L.F.; Bouktif, S. & Campbell, P.  “Soft Skills and Software Development: A reflection from Software Industry”, International Journal of Information Processing and Management 14(3) 2015.vol14. issue3.17 (SJR 0.111) Class B,

[J20].  Salah Bouktif, Eileen Marie Hanna, Nazar Zaki and Eman Abu Khoussa “Ant Colony Optimization Algorithm for Interpreting a Combination of Bayesian Classifiers: Application to Heart Disease Prediction in the PLOS ONE 2014 (IF: 4.411 Class A*, Q1, top 10%).

[J21].    Bouktif, Salah, Houari Sahraoui, and Faheem Ahmed. "Predicting stability of open-source software systems using combination of Bayesian classifiers." ACM Transactions on Management Information Systems (TMIS) 5.1 (2014): (SJR: 0.89, Q1)

[J22].  Faheem Ahmed, Luiz Capretz, Salah Bouktif, Piers Campbell, “Soft Skills Requirements in Software Development Jobs: A Cross Cultural Empirical Study”, Emerald Journal of Systems and Information Technology in 2012 (SJR:0.189, Class C, acceptance rate 15%)

[J23].  Issa Khalil, Mamoun Awad, Salah Bouktif and Falah Awwad, MSN: mutual secure neighbor verification in multi-hop wireless networks. Wiley Security and Communication Networks. DOI,: 10.1002/sec.304 (2012) (IF:0.41),

[J24].  Salah Bouktif, Faheem Ahmed, Issa Khalil, Giuliano Antoniol, A Novel Composite Model Approach to Improve Software Quality Prediction Elsevier Information and Software Technology  journal vol. 52 issue 12, p. 1298–1311 (2011) (IF:1.507, Q1, top 10%),

[J25].  Nazar Zaki, Salah Bouktif and Sanja Lazarova, A Combination of Compositional Index and Genetic Algorithm for Predicting Transmembrane Helical Segments. PLoS ONE 6(7): e21821. doi:10.1371/journal.pone.0021821 (2011) (IF: 4.411 Class A, Q1, top 10%).

[J26].  Mohamed Adel Serhani, Abdelghani Benharref, Elarbi badidi, Salah Bouktif “Scalable Federated Broker Management for Selection of Web Services” The Oxford Computer Journal (2012) IF:1.327, Class A, Q2

[J27].  Badidi E., Salem M.V., Bouktif S., Esmahi L., “A Web Services based Framework for Uniform Integration of Command-line Bioinformatics Software Tools”. International Journal on Web Services Practices (IJWSP), vol.4 issue 1, p. 36-43 (2009). 

[J28].  Salah Bouktif, Danielle Azar, Houari Sahraoui, Balàzs Kégl and Doina Precup: Improving Rule Set Based Software Quality Prediction: A Genetic algorithm-based Approach, in Journal of Object Technology, vol.3, no. 4, April 2004. (SJR:0.367, Class B)

 Sample of Conference publications

[C1].        Akib Khanday, Salah Bouktif and Ali Ouni, “RNN-based Model for an Optimal COVID-19 Cases Detection using Clinical Reports”,in The 9 th IEEE International Conference on Optimization and Applications, Abu Dhabi, UAE, October 05-06, 2023. (Scopus)

[C2].        Salah Bouktif and Ali Ahmad, “Saving Energy and Maintaining Indoor Comfort Level: A Reinforcement Learning Based Approach” in 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE 2023) Oshawa, Canada August 13-15, 2023 (Scopus)

[C3].        Salah Bouktif, Ali Ahmad, Shehab Khan and Nasser Alkaabi, “A Reinforcement Learning Based Approach to Recommend Appropriate Occupant Behaviors” in the 6 th International Conference on Big Data and Artificial Intelligence BDAI 2023 Jiaxing, China, July 7-9, 2023 (Scopus)

[C4].        Iman Megdadi, Salah Bouktif, and Nimmi Kunnath “Data-Driven Student performance Modeling in Distance Learning Time: COVID-19 Era” in 2023 International Conference on Educational Technology ( ICET 2023) Xi’an, China, September 15-17, 2023, (Scopus)

[C5].        Salah Bouktif, Akib Khanday, and Ali Ouni “LSTM-based COVID-19 Detection using Clinical Reports: in the International Conference on Research in Engineering, Technology and Science (ICRETS 2023) Budapest, Hungary, 06-09 July, 2023 (Scopus)

[C6].        R Alexandre, A Ouni, MA Saied, S Bouktif, MW Mkaouer, On the identification of third-party library usage patterns for android applications, The International Conference on Evaluation and Assessment in Software Engineering, (2022) (Class A)

[C7].      S Bouktif, A Cheniki, A Ouni, H El-Sayed Traffic signal control based on deep reinforcement learning with simplified state and reward definitions 2021 4th International Conference on Artificial Intelligence and Big Data, China, May, 2021

[C8].        Salah Bouktif and Ayisha Manzoor, “Artificial Intelligence as a Gear to Preserve Effectiveness of Learning and Educational Systems in Pandemic Time 21-23 April in Vienna, Austria 2021

[C9].        Salah Bouktif, Ali Fiaz,  Ali Ouni, Badreyya Alnaqbi and Fatmah Alsereidi “Bayesian Optimized XGBoost Model for Traffic Speed Prediction Incorporating Weather Effects” Alsereidi 2020 International Conference On Intelligent Computing in Data Sciences (ICDS) Fez, Morocco October 21-23

[C10].     H El-Kassabi, MA Serhani, S Bouktif, A Benharref Multi-Model Deep Learning for Cloud Resources Prediction to Support Proactive Workflow Adaptation 2019 IEEE Cloud Summit, 78-85 IEEE Washington DC, USA (2019)

[C11].     S Bouktif, A Fiaz, M Awad Stock Market Movement Prediction using Disparate Text Features with Machine Learning 2019 International Conference on Intelligent Computing in Data Sciences Oct 2019 Marrakech, Morocco (2019)

[C12].     Salah Bouktif and Ali Fiaz, “Deep learning with LSTM networks for Medium to Long Range Demand Forecasting” ECOS 2018 - 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy system, 17-22, June 2018, Guimaraes, Portugal,

[C13].     Noura Albalooshi, Shamsa Aleissaee, Ali Fiaz and Salah Bouktif 10th Annual Conference on Undergraduate Research on Applied Computing, URC 2018, 25-26 April 2018, Zayed University, Dubai, UAE.

[C14].     Marwa Daagi, Ali Ouni , Marouane Kessentini, Mohamed Mohsen Gammoudi, Salah Bouktif “Web Service Interface Decomposition Using Formal Concept Analysis” 24th IEEE International Conference on Web Services June, 2017, Hawaii, USA (Class A)

[C15].     Ali Ouni, Marwa Daagi, Marouane Kessentini, Salah Bouktif, Mohamed Mohsen Gammoudi “A Machine Learning-Based Approach to Detect Web Service Design Defects” 24th IEEE International Conference on Web Services June, 2017, Hawaii, USA (Class A)

[C16].     Najah A. Abu Ali,  Mervat Abu-Elkheir, and Salah Bouktif (2016) “Utilizing VIN for Improved Vehicular Sensing”, in the  2016 IEEE Wireless Communications and Networking Conference, 3-6 April 2016, Doha, Qatar

[C17].     Bouktif S. and Adel Awad M. (2015). “Predicting Stock Market Movement: An Evolutionary Approach”. In Proceedings of the 7th International Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, pages 159-167, Lisbon Portugal, 11-15 Nov 2015. A top conference with 6 reviewers and a rebuttal letter

[C18].     Shamsa Zayed Aleissaee, Noura Humaid Albalooshi, Ali Fiaz and Salah Bouktif, “Short and Medium Term Electric Load Forecasting Using Deep Learning: Comparison with Machine Learning Benchmark Models” the 4th Annual Undergraduate Student Research Conference  April 2018, UAEU, Al Ain, UAE,

[C19].     Noura Albalooshi, Shamsa Aleissaee Ali Fiaz and  Salah Bouktif, “Analysis of Machine Learning Usage For Building Energy Consumption: Identifying the Best Practices For Designing Effective Workflows” the 4th Annual Undergraduate Student Research Conference  April 2018, UAEU, Al Ain, UAE.

[C20].     Salah Bouktif and Mamoun Awad “Ant colony based approach to predict stock market movement from mood collected on Twitter” The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining  ASONAM 2013, Niagara Falls, Canada, August 25-28, 2013, acceptance rate 13%

[C21].     Salah Bouktif and Mamoun Awad: “Evolutionarily Pooled Bayesian Classifiers to Predict Stock Market Movement” the IEEE International Conference on Artificial Intelligence, Sousse, Tunisia 24-27 June, 2013.

[C22].     IM Khalil, A Khreishah, S Bouktif, A Ahmad “Security Concerns in Cloud Computing” The 10th International Conference on Information Technology: New Generations, Las Vegas, Nevada, USA, 15-17 April 2013

[C23].     Nazar Zaki, Salah Bouktif and Sanja Lazarova, "A Genetic Algorithm to Enhance Transmembrane Helices Topology Prediction Using Compositional Index", ACM Genetic and Evolutionary Computation Conference (GECCO2011), Dublin, Ireland, July 12-16. Preprint, Won the Best Paper Award. (2011) Class A, 3 Citations. Corresponding Author.

          [C24].     Abdelghani Benharref, Adel Serhani, Salah Bouktif and Jamal Bentahar, “Online monitoring for sustainable communities of Web Services”, 12th IFIP/IEEE International Symposium Integrated Management, Dublin, Ireland, 23-27 May (2011) Class A,

           [C25].     Abdelghani Benharref, Adel Serhani, Salah Bouktif and Jamal Bentahar, “A new Approach for Quality Enforcement in Communities of Web Services”, IEEE International Conference on Services Computing Washington DC, USA, 4-9 July (2011)  Class A

           [C26].     Salah Bouktif, M. Adel Serhani, and A. Benharref, “Reducing the Gap Between Software Engineering Curriculum Material and Market Needs”, The annual International Conference on Education and New Learning Technologies, Barcelona, Spain, 5-7 July, (2010).

[C27].     Abdelghani Benharref, Adel Serhani, Salah Bouktif and Jamal Bentahar “A Managerial Community of Web Services for Management of Communities of Web Services” in the 10th Annual International Conference on New Technologies of Distributed Systems, Tozeur, Tunisia, May 31- June 2, (2010)

[C28].     Faheem Ahmed, Salah Bouktif, Luiz Capretz, “Organizational Behavior & Software Product Line Engineering: An Emprical Study”, the ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-09), Rabat Morocco 2009. Class C.

[C29].     Badidi E., Esmahi L., Serhani M.A., Bouktif S., “A Web Services based Framework for Uniform Integration of Command-line Bioinformatics Software Tool”, The Innovations in Information Technology Conference (Innovations’08), AL-AIN, UAE, December (2008),

[C30].     Faheem Ahmed, Salah Bouktif, Adel Serhani and Issah Khalil, “Integrating Function Point Project Information for Improving the Accuracy of Effort Estimation”, International Conference on Advanced Engineering Computing and Applications in Sciences ADVCOMP’08, Valencia, Spain, (2008),

[C31].     Ayari Kamel, Salah Bouktif and Giuliano Antoniol, “Atomatic Test Data Generation for Mutation Testing Via Ant Colony Optimization”, ACM Genetic and Evolutionary computation Conference, Software Eng. Track GECCO’07, London Uk, 2007. Class A

[C32].     Salah Bouktif, Ayari Kamel and Giuliano Antoniol, Extended, “Ant Colony Optimization for Mutation Testing Data Generation”, The Seventh Metaheuristics International Conference, Montreal, Canada (2007).

[C33].     Salah Bouktif, Yann-Gael Gueheneuc, and Giuliano Antoniol,  “Extracting Change-patterns from CVS Repositories”, IEEE Working Conference on Reverse Engineering, WCRE, Benevento, Italy, Oct 23-27, (2006). Class A,.

[C34].     Salah Bouktif, Giuliano Antoniol, Markus Neteler and Ettore Merlo, “A feedback based quality assessment to support open source software: the GRASS case study”, IEEE of the International Conference of Software Maintenance ICSM, Philadelphia, USA (2006). Class A,

[C35].     Salah Bouktif, Houari Sahraoui and Giuliano Antoniol, “Simulated Annealing for improving software quality Prediction” in the ACM Genetic and Evolutionary computation Conference Software Engineering Track GECCO, Seattle, USA, July 8-12 (2006). Class A,

[C36].     Salah Bouktif, Giuliano Antoniol, Markus Neteler and Ettore Merlo, A Novel approach to Optimize Clone Refactoring Activity, ACM Genetic and Evolutionary Computation Conference Software Engineering Track GECCO , Seattle, USA, July 8-12 (2006). Class A,

[C37].     Salah Bouktif, Balàzs Kégl and Houari Sahraoui Combining Software Quality Predictive Models: An Evolutionary Approach, In IEEE of the International Conference of Software Maintenance ICSM Montreal, Canada, (2002). Class A,

[C38].     Danielle Azar, Salah Bouktif, Balàzs Kégl, Houari Sahraoui and Doina Precup Combining And Adapting Software Quality Predictive Models By Genetic Algorithms, In IEEE Automated Software Engineering, ASE’02, Edinburgh, Scotland, UK. (2002). Class A,

[C39].     Salah Bouktif, “Context driven combination of Software Quality Predictive Models”, 13th International IEEE Symposium on Software Reliability ISSRE’02, Washington DC, US(2002).Class A

[C40].     Salah Bouktif, Balàzs Kégl and Houari Sahraoui, “Combining and Adapting Software Quality predictive Models”, European Conference on OO. Programming, Quantitative Approaches in Object-Oriented Software Engineering ECOOP Málaga, Spain (2002). Class A,

Book Chapter

[C41].     Salah Bouktif and Waleed K. Ahmed (2014) “Monitoring Framework for Cost-Effective Energy Consumption in a Building” Chapter ICREGA’14 - Renewable Energy: Generation and Applications Part of the series Springer Proceedings in Energy pp 233-240, 02 July 2014

Technical reports

[C42].     Ayari Kamel, Salah Bouktif and Giuliano Antoniol, “Ant Colony Optimization for testing data generation”, EPM-RT-2007-01, Polytechnic Engineering School of Montreal, 2007.

[C43].     Salah Bouktif, Giuliano Antoniol, Ettore Merlo and Markus Neteler, “A plugin based architecture for software maintenance”, EPM-RT-2006-03, Polytechnic Engineering School of Montreal, 2006.

[C44].     Salah Bouktif, “Improving software quality prediction by combination and adaptation of models”, Ph.D. dissertation, DIRO Department, University of Montreal, Canada, June 2005.