Sir Syed CASE Institute Of Technology

Our program is involved in many projects that are funded to expedite and enhance the quality scale while equipping our students and members with the facilities to better perform and showcase their skillset.

1. Intelligent video system analysis using computer vision
2. Synthetic Data Production for Machine Learning Using Robotic Arm
3. Head Count for Business Intelligence Applications

Funding

A number of Project proposal is underway in the area of IoT, machining learning, and computer vision.

Current Publications

1. Umair Younis, A. Khaliq, M. Saleem : Weights Aggregated Multi-Objective Particle Swarm Optimizer for Optimal Power Flow, Published August 2018, International Journal of Innovative Computing, Information and Control: ISSN 1349-4198
2. Qaisar Shafi, Saad Qaisar and Abdul Basit, “Software Defined machine learning based Anomaly detection in Fog based IoT network” 19th International Conference on Computational Science and Applications (ICCSA 2019) (to be held on 1-4 July, 2019)
3. Fazil, Adnan, Aamir Hasan, Ijaz Mansoor Qureshi, and Qaisar Shafi. “A proactive channel access scheme for wireless ad hoc networks.” IET Communications (2019)
4. M.A. Hossain, M. Saleem, S.C. Saha, Akira Nakayama Conduction-radiation on natural convection flow in porous medium enclosure Journal of Applied Mathematics and Mechanics 34(6) (2013), 687–702 (2013)
5. M. Saleem Md Anwar Hossain, , S. C. Saha: “Effect of magnetic field on double diffusive Marangoni convection with chemical reaction in a square cavity (Full Paper)”. ASME Journal of Heat Transfer: June (2014) issue [DOI: 10.1115/1.4026372]
6. Q. Shafi, “Cyber physical systems security: a brief survey,” in Proc. 12th Int. Conf. on Computational Sci. and Its Applications, 2012, pp. 146-150
7. Malik Siraj, Nadeem Javaid, Qaisar Shafi, Umar Qasim, Zaheer Ahmed and Zahoor Ali Khan” ‘Energy aware dynamic routing using SDN for a campus network” accepted in The 19-th International Conference on Network-Based Information Systems (NBiS-2016)
8. M. Saleem, Md. Anwar Hossain, Suvash C. Saha, Y.T Gu, (2014) Heat Transfer Analysis of Viscous Incompressible Fluid by Combined Natural Convection and Radiation in an Open Cavity. Published July (2014). Mathematical Problems in Engineering. Article ID 412480
9. M. Qaisar Shafi, Faisal B. Hussain, Usama Ahmed, “Topology-based Efficient Downstream Transport in Wireless Sensor Networks” IEEE 6thInternational Conference on Emerging Technologies (ICET), Islamabad , October 18-19, 2010
10. Qaisar Shafi , Abdul Basit, Saad Qaisar, Abigail Koay, and Ian Welch. “Fog-Assisted SDN Controlled Framework for Enduring Anomaly Detection in an IoT Network.” IEEEAccess (2018): 73713-73723
11. Qaisar Shafi and Abdul Basit , “DDoS Botnet Prevention using Blockchain in Software Defined Internet of Things“ 2019 15thInternational Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan
12. M. Saleem, M.A. Hossain, R S R Gorla Effect of magnetic field on thermo capillary convection in a system of two immiscible liquid layers in a rectangular cavity International Journal of Numerical Methods for Heat and Fluid Flow; Vol. 23 (3), (2013 ) pp. 405-426
13. A significant role of permeability on blood flow for hybrid nanofluid through bifurcated stenosed artery: Drug delivery application, Computer Methods and Programs in Biomedicine, 187 (2020) 105248. Impact factor: 3.632.
14. Signifance of Knudsen number and corrugation on EMHD flow under metallic nanoparticles impact, Physica A, 9 (2020) 171-182.
15. Hybrid mediated blood flow investigation for atherosclerotic bifurcated lesions with slip, convective and compliant wall impacts, Computer Methods and Programs in Biomedicine, 179 (2019) 104980.
16. S. Riaz, A. Arshad, and L. Jiao, “A Semi-Supervised CNN with Fuzzy Rough C-Mean for Image Classification,” in IEEE Access, 2019. doi: 10.1109/ACCESS.2019.2910406. SCI (Impact Factor = 4.098)
17. Riaz S, Arshad A, Jiao L. “Fuzzy Rough C-Mean Based Unsupervised CNN Clustering for Large-Scale Image Data”, Applied Sciences, 2018. https://doi.org/10.3390/app8101869. SCI (Impact Factor = 2.217)
18. A. Arshad, S. Riaz, L. Jiao and A. Murthy, “The Empirical study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction,” in IEEE Access, 2018. doi: 10.1109/ACCESS.2018.2866082. SCI (Impact Factor = 4.098)
19. A. Arshad, S. Riaz, L. Jiao and A. Murthy, “Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction,” in IEEE Access, 2018. doi: 10.1109/ACCESS.2018.2835304. SCI (Impact Factor = 4.098)

Foreign & Local Universities

1. Auckland University , New Zealand
2. Norwegain University of Science and Technology, Norway
3. National University of Sciences and Technology, Pakistan

Foreign & Local Companies

1. Bitsym Pvt Ltd
2. CASE Start up