Dr. syed roohullah Jan | Data Merging Awards | Best Researcher Award

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Dr. syed roohullah Jan | Data Merging Awards | Best Researcher Award

Dr. syed roohullah Jan, University of Suffolk, United Kingdom

Dr. Syed Roohullah Jan, based in Ipswich, UK, is a dedicated researcher and educator with a wealth of experience in computer science and networking. He holds a Ph.D. in Energy-efficient Data Aggregation for Cluster-based Wireless Sensor Networks from Abdul Wali Khan University, Pakistan. With a Master’s and Bachelor’s degree from the University of Bedfordshire, UK, his expertise spans networking, data communication, and system administration. Dr. Jan’s research focuses on wireless networks, performance optimization, and security in IoT and vehicular networks, as evidenced by his numerous publications in esteemed journals and conferences. Currently serving as a Lecturer at the University of Suffolk, he teaches a range of computing courses and actively contributes to departmental research endeavors. His commitment to academia is underscored by his extensive professional experience, including roles at Abdul Wali Khan University and Preston University, where he taught various computer science subjects. Dr. Jan’s dedication extends beyond academia, as demonstrated by his voluntary work in ICT training and his participation in first aid and health & safety workshops.

Professional Profile:

Google Scholar

🎓 Education:

Dr. Syed Roohullah Jan pursued his academic journey with a Ph.D. from Abdul Wali Khan University, Mardan, KPK, Pakistan in 2021, focusing on energy-efficient data aggregation for cluster-based wireless sensor networks. Prior to this, he completed his Master of Computer Science – Networking and Bachelor of Computer Science – Networking from the University of Bedfordshire, UK, in 2007 and 2006 respectively. His master’s research involved practical experiments comparing the performance of wired and wireless local area networks, while his bachelor’s degree covered various modules including computer networking, data communication, programming, simulations, and system administration.

🔬 Research Grants & Activities:

r. Jan’s professional journey has been marked by extensive involvement in diverse research projects and activities. He has actively contributed to international scientific and technological cooperation projects, demonstrating his commitment to collaborative research endeavors. Additionally, Dr. Jan has served as a reviewer for prestigious journals, leveraging his expertise to evaluate and enhance the quality of scholarly publications in his field. Through his multifaceted engagement in research initiatives and scholarly review processes, Dr. Jan continues to make significant contributions to the advancement of knowledge and innovation in his field.

👨‍💼 Professional Experience:

Throughout his professional journey, Dr. Jan has held lecturing positions at various universities, where he has imparted knowledge across a broad spectrum of courses in computer science and networking. His dedication to education is evident through his engagement in teaching diverse subjects, ranging from introductory courses to advanced topics. In addition to his teaching responsibilities, Dr. Jan has played an active role in academic administration, demonstrating his capacity for leadership and organizational management. Moreover, he has been deeply involved in research supervision, guiding students in their academic pursuits and fostering a culture of scholarly inquiry. Dr. Jan’s multifaceted contributions to academia underscore his commitment to excellence in both teaching and research domains.

Publication Top Notes:

  1. Title: A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system
    Cited By: 290
    Year: 2021
    Journal: Mobile Networks and Applications
  2. Title: A comprehensive analysis of congestion control protocols in wireless sensor networks
    Cited By: 86
    Year: 2018
    Journal: Mobile Networks and Applications
  3. Title: Applications, limitations, and improvements in visible light communication systems
    Cited By: 41
    Year: 2015
    Conference: 2015 International Conference on Connected Vehicles and Expo (ICCVE)
  4. Title: A comprehensive survey of security threats and their mitigation techniques for next‐generation SDN controllers
    Cited By: 40
    Year: 2020
    Journal: Concurrency and Computation: Practice and Experience
  5. Title: ARTNet: Ai-Based Resource Allocation and Task Offloading in a Reconfigurable Internet of Vehicular Networks
    Cited By: 35
    Year: 2020
    Journal: IEEE Transactions on Network Science and Engineering

 

 

 

Mr. Muhamamd Arslan Rauf | Recommendation system | Best Researcher Award

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Mr. Muhamamd Arslan Rauf | Recommendation system | Best Researcher Award

Mr. Muhamamd Arslan Rauf, University of Electronic Science and Technology of China, China  

👨‍💼 Mr. Muhammad Arslan Rauf is a Ph.D. scholar specializing in Recommendation Systems, Zero-Shot Learning, and Deep Learning. With an extensive educational background including a Master’s degree in Computer Science, he brings deep analytical skills and research expertise to the table. Arslan has experience in both research and teaching, having served as a lecturer at Riphah International University. He is passionate about driving technological innovation in computer science and fostering a culture of continuous learning and innovation. Arslan’s certifications include courses in AWS Machine Learning and advanced statistical methods in Python.

🏫 Education and Training:

  • Doctorate in Software Engineering (PhD)
    • University of Electronic Science and Technology of China
    • Thesis: Zero-shot learning for Cold-strat Recommendation
  • Master of Science in Computer Science
    • National Textile University, Faisalabad, Pakistan
    • Final grade: CGPA 3.03/4.0, 71%
    • Thesis: Extraction of Strong and Weak regions of Cricket Batsmen through Text-commentary Analysis
    • Major: Machine Learning, NLP, Computer Vision

🏢 Work Experience:

  • Lecturer (Computer Science)
    • Riphah International University, Faisalabad, Pakistan
    • [24/09/2019 – 31/03/2021]

📜 Certification:

  • Getting Started with AWS Machine Learning – Coursera
  • Intro to Data and Data Science – 365 Data Science
  • Advanced Statistical methods in python – 365 Data Science

🔍 Research Interests:

Mr. Muhammad Arslan Rauf is a passionate Ph.D. scholar with a focus on cutting-edge research in Deep Learning and Recommendation Systems. His expertise also extends to Machine Learning and Zero-shot Learning. With a robust educational background and experience in both research and teaching, Arslan is committed to driving technological innovation and fostering a culture of continuous learning and innovation in computer science.

Publications Top Notes  :

  1. Fabric weave pattern recognition and classification by machine learning
    • Published in 2022 in the 2nd International Conference of Smart Systems and Emerging Technologies.
    • Cited by 2 articles.
  2. An Efficient Ensemble approach for Fake Reviews Detection
    • Published in 2023 in the 3rd International Conference on Artificial Intelligence (ICAI).
    • Cited by 1 article.
  3. Content-Based Venue Recommender Approach for Publication
    • Published in 2021 in the International Conference on Engineering Software for Modern Challenges.
    • Cited by 1 article.
  4. Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis
    • Published in 2020 in the IEEE 23rd International Multitopic Conference (INMIC).
    • Cited by 1 article.