Sanaullah Manzoor

Mr. Sanaullah Manzoor


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 March 2022 in Future Generation Computer Systems
Verified
Journal Article
Open access
SMSanaullah Manzoor
Sanaullah Manzoor
AMAdnan Mian
Adnan Mian
AZAhmed Zoha
Ahmed Zoha
Muhammad ImranMuhammad Imran
Muhammad Imran

8 March 2019 in Iranian Journal of Science and Technology, Transactions of Electrical Engineering
Verified
Journal Article
Closed access
PDF file
HMHabib Ullah Manzoor
Habib Ullah Manzoor
TMTAREQ MANZOOR
TAREQ MANZOOR
AHAshiq Hussain
Ashiq Hussain
Moustafa H. AlyMoustafa H. Aly
Moustafa H. Aly
SMSanaullah Manzoor
Sanaullah Manzoor

3 September 2019 in Transactions on Emerging Telecommunications Technologies
Verified
Journal Article
Closed access
PDF file
SMSanaullah Manzoor
Sanaullah Manzoor
SMSuleman Mazhar
Suleman Mazhar
AAAhmad Asghar
Ahmad Asghar
AMAdnan Noor Mian
Adnan Noor Mian
AIAli Imran
Ali Imran
JCJon Crowcroft
Jon Crowcroft

21 August 2024 in IEEE Transactions on Machine Learning in Communications and Networking
Verified
Journal Article
Open access
SMSanaullah Manzoor
Sanaullah Manzoor
Muhammad Zeeshan ShakirMuhammad Zeeshan Shakir
Muhammad Zeeshan Shakir
MHMazen O. Hasna
Mazen O. Hasna
KQKhalid A. Qaraqe
Khalid A. Qaraqe
With the vast proliferation of smart mobile devices, there is an ever-increasing demand for higher data rates and seamless connectivity throughout. Current 5th generation and beyond (B5G) cellular networks struggle to eradicate outage zones and ensure seamless connectivity. One promising solution to this problem is the use of unmanned aerial vehicles (UAVs) to assist the traditional ground network and provide connectivity in places where there are no small base stations or faulty ones as a result of some natural disasters such as flooding. In this paper, we propose a novel users’ mobility-aware & users’ demand-aware federated learning-based proactive UAV placement (MFPUP) framework to assist the existing ground communication network and minimise overall network outages. Our MFPUP framework utilises the federated learning-based mobility prediction model that recommends the potential outage areas to deploy UAVs using user-UAV association techniques such as the optimum association approach (OAP) and the greedy association approach (GAP). In order to validate the performance of the proposed MFPUP scheme we carried out extensive simulations. The proposed LSTM-based mobility model outperforms the DNN model with 92.88% prediction accuracy. Further, our results show that the proposed MFPUP framework associates the optimal number of users to UAVs while also improving 1.25 times users’ downlink rates as compared other UAVs placement schemes.

17 July 2020 in Coatings
Verified
Journal Article
Open access
PDF file
TMTAREQ MANZOOR
TAREQ MANZOOR
MZMuhammad Zafar
Muhammad Zafar
PIProf. Dr. Shaukat Iqbal
Prof. Dr. Shaukat Iqbal
KNKashif Nazar
Kashif Nazar
MAMuddassir Ali
Muddassir Ali
WKWoo Young Kim
Woo Young Kim
This study presents the theoretical investigation of a roll-over thin layer formation under the lubrication approximation theory. The set of differential equations derived by lubrication approximation is solved by the optimal homotopy asymptotic method (OHAM) to obtain precise expressions for pressure and velocity gradients. Critical quantities such as velocity, pressure gradient, and coating layer depth are numerically estimated. The impact of parameters affecting the coating and layer formation is revealed in detail. Results indicate that the transport properties of the higher-grade fluid play an essential role in regulating velocity, pressure, and the final coated region. Moreover, couple stress effects on the properties of fluid particles to be coated on roller-surface have also been studied.

14 May 2020 in Microwave and Optical Technology Letters
Verified
Journal Article
Closed access
PDF file
HMHabib Ullah Manzoor
Habib Ullah Manzoor
SMSanaullah Manzoor
Sanaullah Manzoor
TMTareq Manzoor
Tareq Manzoor
TKTalha Khan
Talha Khan
AHAshiq Hussain
Ashiq Hussain