Prof. Dr. Pardeep Kumar

About

Dr. Pardeep Kumar is currently working as a Professor and Head of the Computer Systems/Software Engineering Department, Quaid-e-Awam University of Engineering, Science & Technology (QUEST) Nawabshah, Pakistan. Additionally, he is also working as Director, Office of Research, Innovation & Commercialization (ORIC), QUEST Nawabshah. Earlier, he had worked as Director Continuing Education QUEST and Coordinator Students' Attendance System at QUEST. He is also working as a member of several academic and administrative committees of HEC Pakistan, PEC Pakistan, QUEST and other universities.

He completed his PhD from Berlin, Germany in 2012. Earlier he did his Bachelor of Engineering in Computer Systems and Master of Engineering in Communication Systems and Networks from Mehran University of Engineering and Technology Jamshoro, Pakistan in 2001 and 2004 respectively. Dr. Kumar joined QUEST in January 2004 and was granted PhD scholarship from HEC Pakistan and DAAD Germany in 2006. During his PhD research, he designed and developed a novel MAC protocol for wireless sensor networks and has worked under several European Union projects.

His research interests are in the fields of wireless communication, wireless sensor networks, IEEE 802.15.4/ZigBee, Internet of Things (IoT), next generation networks, communication protocols, etc. Dr. Kumar has authored around 50 research publications in reputed journals and conferences around the world including several books and book chapters. He has visited different countries including Germany, France, USA, Australia, Italy, Switzerland, Czech Republic, Egypt, Slovenia, etc. to share his research work. He delivered a keynote talk on Internet of Things at the University of Hawaii, USA in January 2019.

Employment

• Quaid-e-Awam University of Engineering, Science & Technology (QUEST) Professor
  2018 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (83)

• Identification of Leaf Diseases of Different Crops using modified ResNet50
  The Asian Bulletin of Big Data Management 2024 DOI: 10.62019/abbdm.v4i02.166
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• A Multi-Hop QoS-Aware and Predicting Link Quality Estimation (PLQE) Routing Protocol for Reliable WBSN
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3266067
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• EEG signals based choice classification for neuromarketing applications
  A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems 2022 DOI: 10.1007/978-3-030-76653-5_20
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• Comparative Analysis of TCP, TCP-Vegas, and SCTP in Mobile Ad-Hoc Networks
  Journal of Independent Studies and Research Computing 2022 DOI: 10.31645/jisrc.22.20.2.7
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• Optimization of Multidimensional Energy Security: An Index Based Assessment
  Energies 2022 DOI: 10.3390/en15113929
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• Meta Deep Learn Leaf Disease Identification Model for Cotton Crop
  Computers 2022 DOI: 10.3390/computers11070102
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• Healthcare Monitoring and Data Analysis using Internet of Things
  2022
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• Framework for Mid-Air Traffic Collision Detection Using Data Analytics
  A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems 2022 DOI: 10.1007/978-3-030-76653-5_24
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• Ensuring Security of Digital Voting Through Blockchain Technology
  A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems 2022 DOI: 10.1007/978-3-030-76653-5_17
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• Enhancement of Medical Images through Iterative McCann Retinex Algorithm: A Case of Detecting Brain Tumor and Retinal Vessel Segmentation
  Applied Sciences 2022
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