Name	Dr. Salahuddin Shaikh
Email	Salahuddin.shaikh.bukc@bahria.edu.pk
Phone	+923333436629  / +923398088801
Research Areas	My current research interests broadly fall in areas related to: Machine Learning Data Mining Big Data My long-term research inclination is towards the application of Artificial Intelligence and Machine Learning techniques for solving applied research problems.

PUBLICATIONS

JOURNAL PUBLICATIONS

• Dani Bux Talpur, Salahuddin Shaikh, Ashfaque Khowaja, Saifullah Adnan and Ali Ghulam “Accurate prediction of  Snare  Protein  Sequence  using Machine Learning” BIOSCIENCE RESEARCH, 2022 19(3): 1414-1422.
• Salahuddin Shaikh, Liu Changan, Maaz Rasheed Malik “Analysis of Data Preprocessing Techniques with Software Bug Model Datasets” International Journal of Advanced Science and Technology, Volume 29, Issue 10 2020, Pages 863-874.
• Salahuddin Shaikh, Liu Changan, Maaz Rasheed Malik “An Empirical and Comparatively Research on Under-Sampling & Over-Sampling Defect-Prone Data-Sets Model in Light of Machine Learning” International Journal of Advanced Networking and Applications. Volume 12 Issue 5 Pages 4719-4724, 2021.
• Maaz Rasheed Malik, Liu Yining, Salahuddin Shaikh “A Model Vector Machine Tree Classification for Software Fault Forecast Model (TSMO/TSVM)” International Journal of Advanced Networking and Applications, 2021, Volume 12, Issue 4, Pages 4650-4655.
• Asif AliLaghari, HuiHea, Muhammad Ibrahim, Salahuddin Shaikh “Automatic network policy change on the basis of Quality Of Experience (QoE)” Procedia Computer Science Journal, Volume 107, Pages 657-659, 2017.
• Maaz Rasheed Malik, Dhani Bux Talpur, Salahuddin Shaikh “A wide research on IOT in the light of safety and privacy” International Journal of Contemporary Architecture. The new arch, volume 08, No.2 P-1030-1036, 2021
• Maaz Rasheed Malik, Liu Yining and Salahuddin Shaikh “Empirical role rule classification model for software fault forecast with vector machine analysis” International journal of computer science and network security, volume19, issue9, pages195-201, 2019/9/2.
• Maaz Rasheed Malik, Liu Yining and Salahuddin Shaikh “Analysis of Software Deformity Prone Datasets with Use of Attribute Selected Classifier” International Journal of Advanced Computer Science and Applications, Pages14-21, 2019.

CONFERENCE PUBLICATIONS

• Salahuddin Shaikh, Maaz Rasheed Malik, Saifullah Adnan, Dhani Bux “Data-mining accuracy boost technique for software deformity prophecy datasets model” International IBRAS 2022, 2ND International Conference on Biological Research and Applied Science P-102-108 11-13(2022).
• Salahuddin Shaikh, Liu Changan, Maaz Rasheed Malik “A Widely Analysis & Assessment of Software Deformity Prone Datasets Models using Linear NN search Classification Model” Published in IEEE International Conference on Communication, Networks and Satellite (ComNetSat) on December 17, 2020, P-314-318.
• Salahuddin Shaikh, Liu Changan, Maaz Rasheed Malik, Muhammad Asghar Khan “Software Defect-Prone Classification using Machine Learning: A Virtual Classification Study between Lib-SVM & Lib-Linear” Published in 13th international conference on mathematics, actuarial science, computer science and statistics (macs-13) on December 14, 2019. P-1-6.
• Salahuddin Shaikh, Liu Changan, Maaz Rasheed Malik, Syed Rizwan “Wide Research on Software Defect Model with Overgeneralization Problems” International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Jan-2019. P-1-6.
• Salahuddin Shaikh, Liu Changan, Maaz Rasheed Malik “A Baseline Accuracy Classification Method to Over-come the Over-Fitting Problem for Class- Imbalanced Defect-Prone Datasets Model” IEEE International Systems Conference (SysCon) Aug-2020.
• Salahuddin Shaikh, Liu Changan, Maaz Rasheed Malik “Attribute Rule performance in Data Mining for Software Deformity Prophecy Datasets Models” International Conference on Advances in the Emerging Computing Technologies (AECT) on February 10, 2020.
• Muhammad Shafiq, Xiangzhan Yu, Asif Ali Laghari, Salahuddin “WeChat Text and Picture Messages Service Flow Traffic Classification Using Machine Learning Technique, proceedings of IEEE 18th international conference on high performance computing and communications; IEEE 14th international conference on smart city; IEEE 2nd international conference on data science and systems, 2016.
• Syed Rizwan, Wang Tiantian, Su Xiaohong, Salahuddin “Empirical Study on Software Bug Prediction” Published in international conference on software and e-business (icseb) in 2015.
• Maaz Rasheed Malik, Liu Yining, Salahuddin Shaikh “The Role of Attribute Ranker using classification for Software Defect-Prone Data-sets Model: An Empirical Comparative Study” IEEE International Systems Conference (SysCon), Aug-2020.
• Maaz Rasheed Malik, Liu Yining, Salahuddin Shaikh “Empirical and Comparative Study of Various Classifiers with Forecast Deformity Prone Software Models” 4th international conference on control, robotics and cybernetics (crc) on September 27, 2019.

List of courses Taught:

Postgraduate Courses

• Advanced Artificial Intelligence
• Advance Recants Trends in AI
• Advance Software Architecture & Design
• Advanced Software Requirement Engineering
• Natural Language Processing
• Advanced Big Data Analytics

Undergraduate Courses

• Artificial Intelligence
• Data Mining
• Compiler Construction
• Software Re-Engineering
• Agile Development
• Software Construction
• Software Requirement
• Software Engineering
• Applied Physics
• Operating System