Dr. Zulfiqar Ahmad
Biography

Dr. Zulfiqar Ahmad received the M.Sc. degree in computer science (CS) from Hazara University, Mansehra, Pakistan, in 2012 with distinction, the M.S. degree in CS from COMSATS University, Abbottabad, Pakistan, in 2016, and the Ph.D. degree in CS from the Department of Computer Science and Information Technology, Hazara University, in 2022. He is the author of several publications in the field of fog computing, cloud computing, high performance computing, and scientific workflows execution and management. His research interests include scientific workflow management in cloud computing, the Internet of Things, fog computing, edge computing, cybersecurity, and wireless sensor networks (WSNs).

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Academic Background

S.No	Degree Title	Institute	Degree Completion Year
1	PhD Computer Science	Hazara University	2022

Publications

S.No	Publication Title	Authors	Action
1	A comprehensive review of AI-driven Q&A systems with taxonomy, prospects, and challenges	Zahrah Albassami, Abdulmohsen Algarni, Ayman Qahmash, Zulfiqar Ahmad	Click to View
2	PoolRunner: An Extensible Performance Testing Simulation Tool for Thread-Pool Middleware	Faisal Bahadur; Zulfiqar Ahmad; Abdulmohsen Algarni	Click to View
3	Penetration Testing and Machine Learning-Driven Cybersecurity Framework for IoT and Smart City Wireless Networks	Tamara Zhukabayeva; Zulfiqar Ahmad; Aigul Adamova; Nurdaulet Karabayev; Yerik Mardenov; Dina Satybaldina	Click to View
4	An Edge-Computing-Based Integrated Framework for Network Traffic Analysis and Intrusion Detection to Enhance Cyber–Physical System Security in Industrial IoT	Tamara Zhukabayeva, Zulfiqar Ahmad, Aigul Adamova, Nurdaulet Karabayev, Assel Abdildayeva	Click to View
5	Development of a Sustainable and Optimized Energy Ecosystem with Real-Time Monitoring through Innovative IoT-Based Actuator Design for Human-Centric Security in Smart Cities	Ghadah Alwakid, Mamoona Humayun, Zulfiqar Ahmad, and Momina Shaheen	Click to View
6	A Latency-Aware and Fault-Tolerant Framework for Resource Scheduling and Data Management in Fog-Enabled Smart City Transportation Systems.	Ibrar Afzal, Noor ul Amin, Zulfiqar Ahmad, Abdulmohsen Algarni	Click to View
7	Design and Evaluation of Arabic Handwritten Digit Recognition System Using Biologically Plausible Methods	Nadir Hussain, Mushtaq Ali, Sidra Abid Syed, Rania M Ghoniem, Nazia Ejaz, Omar Imhemed Alramli, Mohammed Alaa Ala’anzy, Zulfiqar Ahmad	Click to View
8	An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning	Maram Fahaad Alumfareh, Mamoona Humayun, Zulfiqar Ahmad, Asfandyar Khan	Click to View
9	Replication-based Resource Provisioning and Constrained aware Task Scheduling Framework for Cloud Workflows	Mehreen Iftikhar, Mushtaq Ali, Zulfiqar Ahmad, Ayman Qahmash	Click to View
10	An Edge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With Integration of Modified LGBM and One Class-SVM Models	Abdulmohsen Algarni, Zulfiqar Ahmad, Mohammed Alaa Ala’anzy	Click to View
11	A Traffic Analysis and Node Categorization- Aware Machine Learning-Integrated Framework for Cybersecurity Intrusion Detection and Prevention of WSNs in Smart Grids	Tamara Zhukabayeva, Aisha Pervez, Yerik Mardenov, Mohamed Othman, Nurdaulet Karabayev, Zulfiqar Ahmad	Click to View
12	Design and Evaluation of a Low-Power Wide-Area Network (LPWAN)-Based Emergency Response System for Individuals with Special Needs in Smart Buildings	Habibullah Safi, Ali Imran Jehangiri, Zulfiqar Ahmad, Mohammed Alaa Ala’anzy, Omar Imhemed Alramli, Abdulmohsen Algarni	Click to View
13	An Edge Computing-Based Preventive Framework With Machine Learning- Integration for Anomaly Detection and Risk Management in Maritime Wireless Communications	Abdulmohsen Algarni, Tayfun Acarer, Zulfiqar Ahmad	Click to View
14	A Situation Based Predictive Approach for Cybersecurity Intrusion Detection and Prevention Using Machine Learning and Deep Learning Algorithms in Wireless Sensor Networks of Industry 4.0	Fatima Al-Quayed, Zulfiqar Ahmad, Mamoona Humayun	Click to View