Researchers

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Dr. Sayeed Ghani
http://sayeedghani.iba.edu.pk/
Wireless Sensor Networks, IoT, Simulation and Performance Analysis of Networks, Applications of Machine Learning to Networks and IoT.

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Dr. Faisal Iradat
Performance evaluation of MAC Protocol for upcoming wireless standards, Throughput and Delay analysis of Data / Voice / Video in an integrated data, voice, and video network such as IEEE 802.11, IEEE 802.11e, IEEE 802.16, and 4G cellular networks, Study of various Call Admission Control Schemes for Wireless Networks, Study of different Channel Access Techniques for upcoming wireless network standards.
 

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Muhammad Waseem Arain
Performance modelling, simulations and test-bed implementations of MAC protocols at WSN with focus on end-to-end delay in multi-hop and heterogeneous network environment.
 

PhD Scholars

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Hamida Ali
Email: hali at iba.edu.pk
Finite queuing modeling and analysis for Cross Layer Medium Access Protocol (CLMAC) for WSN.
 
 

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Anwar Ahmed Khan
Email: aakhan at iba.edu.pk
Congestion Control Mechanism in Wireless Sensor Networks.

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Ali Ahmed Thawerani
Email: athawerani at iba.edu.pk
Use of deep learning in MAC protocols

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Nida Saddaf Khan
Email: nskhan at iba.edu.pk
Sensor Data Analytics

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Masood Alam Abbasi
Email: maabbasi at iba.edu.pk
Performance Analysis, Simulation and Mathematical Modeling of STDMA Protocol with emphasis on increasing throughput and minimizing collisions.

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Mahwish Amjad
Email: mamjad at iba.edu.pk
Wireless Big Data

Past PhD Researchers

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Dr. Shama Siddiqui
Performance analysis of polling-based MAC protocols in WSN. Developed a novel asynchronous adaptive & dynamic polling-based MAC protocol ADP-MAC which functions based on 'polling interval distribution' instead of 'polling interval'. The suggested protocol improved performance of WSN as compared to previously existing SCP-MAC. Dr. Siddiqui completed her PhD in May 2018.

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Raza Hasan Abedi

Past MS Students

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Jehanzeb Chaudhri
Implementation of WSN based networks for monitoring and control of agricultural irrigation; Survey of Energy Harvesting Protocols.

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Muhammad Zohaib Akram
Smart Asset Management using WSN & Hybrid networks. Management of Assets through the uses of technology, where the wireless sensors learn and the technology manages and controls the assets going in and out of systems, thus providing stakeholders with a comprehensive view of the system and aiding them in timely decision making. The motivation of the research is to exploit the opportunities that exist in the local market and devise solutions that not only caters to the requirements of the industry with respect to asset management but also to explore the application of technology and Wireless Sensors in the development of a technically sound and commercially viable solutions.