Osama Sohaib | Information Systems | Best Researcher Award

Dr. Osama Sohaib | Information Systems | Best Researcher Award

Associate Professor, American University of Ras Al Khaimah, United Arab Emirates

Dr. Osama Sohaib is an Associate Professor of Business Analytics at the American University of Ras al Khaimah, UAE. He holds a Ph.D. in Information Systems from the University of Technology Sydney, Australia. With over 15 years of teaching experience, Dr. Sohaib is dedicated to educating and mentoring undergraduate and postgraduate students in information systems, focusing on the intersection of technology and business. 🌍📚

Publication Profile

Google Scholar

Education

Dr. Sohaib earned his Ph.D. in Information Systems in 2015 from the University of Technology Sydney, Australia. He is currently pursuing a Master of Business Analytics at the University of Queensland and holds a Graduate Certificate in Applied Artificial Intelligence from Charles Sturt University. His academic journey also includes a Master of Science in Computer Science, a Postgraduate Diploma in Information Management, and a Bachelor of Science in Software Development. 🎓📖

Experience

With over 15 years of experience in academia, Dr. Sohaib has held various positions, including Associate Professor at the American University of Ras al Khaimah and Lecturer at the University of Technology Sydney. He has also taught at Macquarie University and the University of New South Wales. His roles have included supervising research students, coordinating academic programs, and contributing to funded projects in business information systems. 💼👨‍🏫

Research Focus

Dr. Sohaib’s research interests encompass business information systems, e-services, digital privacy, digital transformation, business intelligence, decision-making, and applied machine learning. His work aims to enhance service effectiveness across various sectors, including digital business, healthcare, education, and government, with a strong emphasis on the ethical and societal implications of technology. 💡🔍

Awards and Honors

Dr. Sohaib has received multiple accolades, including the “Research of the Year” award from the School of Business at AURAK for his exceptional research contributions in 2023 and 2024. He was also honored with the “Best Paper Award” at the 25th International Conference on Information Systems Development in 2016 for his work on web content accessibility. 🏆🌟

Publication Top Notes

Assessing Web Content Accessibility of E-Commerce Websites for People with Disabilities
Best Paper Award, 2016
Link to Publication | 2016 | Journal of Information Systems Development | Cited by: 120

Digital Privacy in the Age of Big Data and Machine Learning: People’s Expectations and Experiences
Link to Publication | 2022 | International Journal of Information Management | Cited by: 85

Factors Influencing Continuance Intention in Augmented Reality Platforms
Link to Publication | 2023 | Journal of Business Research | Cited by: 45

Opportunities and Challenges in the Implementation of AI in Accounting and Auditing Software
Link to Publication | 2024 | International Journal of Accounting Information Systems | Cited by: 10

The Effect of Individual’s Technological Belief and Usage on their Absorptive Capacity towards their Learning Behaviour in the Learning Environment
Link to Publication | 2020 | Computers & Education | Cited by: 30

Lijuan Li | Process modeling and optimization | Best Researcher Award

Prof Dr. Lijuan Li | Process modeling and optimization | Best Researcher Award

.Deputy Director of Academic Affairs Office, Nanjing Tech University, China

Li Lijuan is a distinguished professor and doctoral supervisor at the School of Electrical Engineering and Control Science, Nanjing Tech University. She serves as the vice dean of the school and director of the Institute of Automation. Renowned for her contributions to control science, she is a candidate for the Jiangsu Province 333 High-level Talent Program and the Jiangsu Province “Six Talent Peaks” Program. Li Lijuan is an active member of various committees within the Chinese Automation Society and is a certified expert in Chinese Engineering Education. Her extensive research, numerous publications, and patents underscore her expertise and influence in the field.

Profile

Scopus

Educational Background 📚:

  • PhD in Control Science and Engineering from Zhejiang University (2005.3—2008.12)
  • Master’s in Control Theory and Control Engineering from Nanjing University of Technology (2001.9—2004.6)
  • Bachelor of Science in Production Process Automation from Nanjing University of Technology (1993.9-1997.6)

Work Experience 💼:

  • Visiting Scholar, University of Southern California, USA (2013.4-2014.4)
  • Teacher of Control Science and Engineering, Nanjing University of Technology (1997.8-Present)

Research Interests 🔬:

  • Modeling, Optimization, and Predictive Control
  • Intelligent Robots
  • Detection Technology and Embedded Systems
  • Smart Security
  • Application of Artificial Intelligence in Industrial Processes

Awards 🏆:

  • China Patent Excellence Award for Fully Automatic Bag Packaging Flexible Production Line (2020)
  • National Teaching Achievement Second Prize
  • Five provincial and ministerial teaching achievement awards

Publications Top Notes 📖:

Li, Lijuan, et al. “An optimized control strategy based on multidimensional feature operation pattern.” IEEE Transactions on Control Systems Technology, 2024. Link

Li, Lijuan, et al. “Multiresolution deep feature learning for pointer meters reading recognition.” Journal of Manufacturing Processes, 2024. Link

Li, Lijuan, et al. “YOLOv5-SFE: An algorithm fusing spatio-temporal features for detecting and recognizing workers’ operating behaviors.” Advanced Engineering Informatics, 2023. Link

Li, Lijuan, et al. “A performance assessment methodology with coupling between layers for LP-DMC systems.” International Journal of Robust Nonlinear Control, 2023. Link

Li, Lijuan, et al. “Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning.” Computers & Chemical Engineering, 2023. Link