Syed Arshad Ali

About

Dr. Syed Arshad Ali is working as an Assistant Professor in the Department of Computer Science and Applications at Sharda University with a passion for teaching and research, Dr. Arshad brings a wealth of expertise and knowledge to the field of computer science. He received his PhD degree in Computer Science from Jamia Millia Islamia, New Delhi. He received his Master of Computer Application (MCA) degree from Jamia Hamdard, New Delhi and Bachelor of Computer Application (BCA) degree from C.S.J.M. University, Kanpur. He has also qualified UGC, National Eligibility Test (NET) with JRF. In addition to journal articles and conference papers, his publications include book chapters and book reviews. He has also reviewed many research articles of reputed journals and conferences. In addition to Cloud Computing, Internet of Things, and Machine Learning, he is also interested in other areas of research.

Employment

• Sharda University Assistant Professor
  2023 - Present
• Jamia Millia Islamia Department of Computer Science Research Scholar
  2015 - 2022

Education

• Jamia Hamdard MCA
  2008 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Federated Learning in Healthcare: Benchmarking Insights for Diabetes Treatment
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-4933-4_43
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• MediDose and MediBox: NFC-Integrated Smart Wearables and IoT-Based Medication Adherence Solutions
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-8998-9_13
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• Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications
  Advances in Computers 2022 DOI: 10.1016/bs.adcom.2021.09.006
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• Resource Management Techniques for Cloud-Based IoT Environment
  Internet of Things (IoT) 2020 DOI: 10.1007/978-3-030-37468-6_4
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• Resource Management Techniques for Cloud-Based IoT Environment
  arXiv 2020
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• Resource management techniques for cloud-based IoT environment
  Internet of Things (IoT): Concepts and Applications 2020 DOI: 10.1007/978-3-030-37468-6_4
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• Resource-Aware Min-Min (RAMM) Algorithm for Resource Allocation in Cloud Computing Environment
  International Journal of Recent Technology and Engineering 2019 DOI: 10.35940/ijrte.c5197.098319
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• A Study of Efficient Energy Management Techniques for Cloud Computing Environment
  2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence) 2019 DOI: 10.1109/confluence.2019.8776977
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• A synergistic approach for internet of things (IoT) and cloud integration: Current research and future direction
  arXiv 2019
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• Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects
  Studies in Big Data 2019 DOI: 10.1007/978-3-030-03359-0_1
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