Assist Prof Dr. Ebtisam Alabdulqader | Machine Intelligence | Best Researcher Award

Assist Prof Dr. Ebtisam Alabdulqader | Machine Intelligence | Best Researcher Award

Assist Prof Dr. Ebtisam Alabdulqader , Kind Saud University , Saudi Arabia

Prof. Dr. Ebtisam Alabdulqader, an esteemed academic at King Saud University πŸŽ“, possesses a rich educational background, including a Ph.D. in Computing Sciences from Newcastle University, UK, and certifications in various domains such as user experience, bioethics, and cryptography. As the Vice Director of the Digital Innovation Unit and Assistant Professor in the Information Technology Department, she actively contributes to the advancement of education and innovation. Dr. Alabdulqader’s leadership extends to founding and leading the ArabHCI Community and serving as the Vice Chair of the Saudi ACM SIGCHI Chapter. Her extensive experience as a lecturer and teaching assistant underscores her commitment to nurturing future talents in the field of computer and information sciences. Dr. Alabdulqader’s involvement in numerous committees and projects further highlights her dedication to academic excellence and technological innovation 🌟.

🌐 Professional Profile:

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Education:

  • Ph.D. in Computing Sciences, School of Computing, Newcastle University, UK (2015-2019)
  • MSc in Information Systems, College of Computer and Information Sciences, King Saud University, Saudi Arabia (2007-2009)
  • Bachelors in Computer Applications, College of Computer and Information Sciences, King Saud University, Saudi Arabia (2000-2005)

Certificates:

  • Bioethics NCBE Training, KACST, Riyadh, Saudi Arabia (2021)
  • Certified User Experience Specialist (CXS), Akendi, London, UK (2019)
  • Good Clinical Practice (GCP) eLearning, NHS, Newcastle Upon Tyne, UK (2015)
  • Training on Cryptography, PMC in KSU, Riyadh, Saudi Arabia (2010)
  • Oracle Database 11g: Administration Workshop, ORACLE University, Riyadh, Saudi Arabia (2010)
  • MULTOS Developer, MULTOS, Warrington, UK (2009)
  • Network and Host Security, Security Academy I(TS)2, Riyadh, Saudi Arabia (2009)

Experience:

  • Vice Director of Digital Innovation Unit, Entrepreneurship Institute, King Saud University (2022-Present)
  • Assistant Professor, Information Technology Department, College of Computer and Information Sciences, King Saud University (2020-Present)
  • Founder and Leader, ArabHCI Community (2016-Present)
  • Vice Chair, Saudi ACM SIGCHI Chapter (2017-2021)
  • Lecturer, Information Technology Department, College of Computer and Information Sciences, King Saud University (2009-2020)
  • Teaching Assistant, Information Technology Department, College of Computer and Information Sciences, King Saud University (2005-2009)

Memberships in Scientific & Professional Societies:

  • ACM SIGCHI Member
  • Professional ACM Member
  • Open Lab, School of Computing, Newcastle University

Projects:

  • Lead hackathon organizer for β€œMITO Patient Engagement Study”
  • Designing technology for CueS: a wearable cueing device for stroke patients

Academic Activities:

  • Curriculum Review and Development Committee
  • Human Resources Committee (Head)
  • Graduation Projects Seminars Committee
  • Graduation Projects Examination Committee

Service Activities & Participations:

  • Active PC member in various ACM and non-ACM research venues
  • Judge in Fintech 101 Workshop for KSU Students
  • Judge for the International Mobile Gaming Awards

Invited Talks, Panels & Representation:

  • Panelist at the β€œResearch Experiences in HCI” session by KSU CCIS
  • Invited panelist at CS-NCL equality and diversity events
  • ACM SIGCHI Inclusion Innovators, Inclusion team for SIGCHI Diversity & Inclusion Events/Activities

Honors and Awards:

    • CCIS Appreciation Award (2020)
    • Best Lecturer Award (2013)
    • Best Academic Advisor Award (2013)
    • Excellence in Research and Publications Award (2010)

Publication Top Notes:

inist HCI: Taking Stock, Moving Forward, and Engaging Community
Citation -14
IslamicHCI: Designing with and within Muslim Populations

 

 

Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

Dr. Ali Rohan | Artificial Intelligence Awards | Best Researcher Award

Dr. Ali Rohan, National Subsea Centre, United Kingdom

πŸ‘¨β€πŸ”¬ Dr. Ali Rohan is a versatile researcher and educator in the fields of robotics, artificial intelligence (AI), and computer vision. With a strong academic background including a MSc – PhD in Electrical, Electronics & Control Engineering from Kunsan National University, South Korea, he has delved into various facets of cutting-edge technology. As a Lead Researcher at institutions like the National Subsea Centre in the UK and Dongguk University in South Korea, he spearheaded groundbreaking projects like SeaSense, focusing on underwater visual systems, and DAIRYVISION, revolutionizing livestock farming with AI and machine vision. His expertise spans from real-time implementation of AI for UAVs to structural damage monitoring using AI with UAVs. Dr. Rohan’s contributions extend beyond research, as he has also shared his knowledge as an educator, teaching courses on robotics, data science, and control systems engineering. With a passion for innovation and a dedication to advancing technology, Dr. Rohan continues to make significant strides in shaping the future of AI and robotics. πŸ€–βœ¨

🌐 Professional Profile:

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πŸŽ“ Education

Ph.D. in Electrical, Electronics & Control Engineering
Department of Control & Robotics Engineering, Kunsan National University, Kunsan, South Korea
(Feb 2016 – Mar 2020)

B.Sc (Hons) in Electrical Engineering
School of Electrical Engineering, The University of Faisalabad, Pakistan
(Oct 2008 – Jul 2012)

πŸ–₯️ Technical Competence

  • Areas of Specialization: AI, Machine Learning, Deep Learning, Computer Vision, Robotics, Automation
  • Programming Languages: C, C++, C#, Matlab, Python
  • AI & Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Keras
  • Operating Systems: Windows, Linux, macOS, Robot Operating System (ROS)

πŸ” Research Interests :

πŸ€– Dr. Ali Rohan, an accomplished researcher, specializes in Robotics, Artificial Intelligence (AI), Computer Vision, Automation and Control, Image Processing, Signal Processing, and Machine Learning. His expertise lies in leveraging these domains to innovate solutions for various real-world challenges, from enhancing industrial automation to advancing medical diagnostics. With a keen interest in interdisciplinary research, Ali consistently explores the intersection of these fields to develop cutting-edge technologies with profound societal impacts. πŸš€

πŸ”¬ Research Experience & Projects

Dr. Rohan has led and contributed to various research projects in areas such as underwater robotics, agricultural monitoring using drones, AI for healthcare, and structural damage detection using UAVs. His work includes projects funded by prestigious bodies like the Net Zero Technology Centre, InnovateUK, and the Australian Research Council.

πŸ‘¨β€πŸ« Teaching Experience

Dr. Rohan has taught a range of modules covering topics such as fundamentals of prognostics and health management, robotics, control systems engineering, data science, and power electronics. His teaching expertise spans both theoretical principles and practical applications in engineering and technology.

πŸ… Certifications & Awards

Dr. Rohan holds certifications in areas such as Prognostics and Health Management and has received recognition for his contributions to research and academia.

πŸ“šΒ Publication Impact and Citations :

Scopus Metrics:

  • πŸ“Β Publications: 19 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 437 citations for his publications, reflecting the widespread impact and recognition of Dr. Ali Rohan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 644 πŸ“–
    • h-index: 14Β  πŸ“Š
    • i10-index: 15 πŸ”
  • Since 2018:
    • Citations: 629 πŸ“–
    • h-index: 14 πŸ“Š
    • i10-index: 14 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publication Top Notes:

 

 

 

Dr. Saman Iftikhar | Machine learning and Deep learning

Dr. Saman Iftikhar : Leading Researcher in Machine learning and Deep learning

Dr. Saman Iftikhar, Arab Open University, Saudi Arabia

πŸŽ“ Dr. Saman Iftikhar is an accomplished academician with a distinguished background in Information Technology. Holding a Ph.D. in Information Technology from the School of Electrical Engineering and Computer Sciences (SEECS) at the National University of Science and Technology (NUST) in Islamabad, Pakistan, achieved in October 2014 with an impressive GPA of 3.5/4.0. Earlier, [Name] earned an MS in Information Technology from the same institution in February 2008, with a notable GPA of 3.33/4.0.

🏫 Currently, Dr. Saman Iftikhar serves as an Assistant Professor at the Arab Open University in Jeddah, Saudi Arabia, since September 2018. In this role, [he/she] passionately imparts knowledge through teaching advanced courses, dedicating 12 credit hours per week. Concurrently, [Name] actively contributes as a member of the Information Technology and Computing (ITC) department Exam Committee, managing all examination-related tasks since September 2021.

🌐 Dr. Saman Iftikhar brings international experience to the table, having served as the Chairman of the Software Engineering Department at the University of Prince Mugrin in Medinah, Saudi Arabia, from August 2017 to May 2018. In this capacity, [he/she] skillfully coordinated departmental tasks and played a pivotal role in designing the software engineering bachelor’s degree curriculum and course plan. Driven by a commitment to education, [Name] also supervises students’ graduation projects annually, guiding them through proposals, reports, implementations, and presentations.

πŸ” With a solid academic foundation, a wealth of teaching experience, and a dedication to academic leadership, Dr. Saman Iftikhar continues to make significant contributions to the field of Information Technology and higher education.

Professional Profiles : 🌐

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🧠 Research Interests πŸ”¬πŸŒ :

  • πŸ” Information Security
  • πŸ›‘οΈ Data Security
  • 🌐 Cyber Security
  • πŸ” Digital Forensics
  • πŸ–₯️ Computer Networking
  • πŸ”—Internet of Things (IoT)
  • 🧲Data Mining
  • πŸ“Š Distributed Systems
  • 🌍 Semantic Web
  • πŸ€– Artificial Intelligence
  • β˜οΈπŸ’» Cloud Computing
  • πŸ–₯️ Software Engineering
  • πŸ’½ Databases

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics:

  • πŸ“Β Publications: 19 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 197 citations for his publications, reflecting the widespread impact and recognition of Dr. Saman Iftikhar’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 322 πŸ“–
    • h-index: 8 πŸ“Š
    • i10-index: 7 πŸ”
  • Since 2018:
    • Citations: 255 πŸ“–
    • h-index: 7 πŸ“Š
    • i10-index: 6 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications ( Top Note ) :

1.Β  An evolution based hybrid approach for heart diseases classification and associated risk factors identification

Published: 2017, Journal: Biomedical Research, Cited By: 97

2.Β  RRWβ€”A robust and reversible watermarking technique for relational data

Published: 2014, Journal: IEEE Transactions on Knowledge and Data Engineering, Cited By: 88

3.Β  A reversible watermarking technique for social network data sets for enabling data trust in cyber, physical, and social computing

Published: 2015, Journal: IEEE Systems Journal, Cited By: 22

4.Β  A survey on reversible watermarking techniques for relational databases

Published: 2015, Journal: Security and Communication Networks, Cited By: 18

5.Β  Biodiversity of insects associated with sugarcane crop in Faisalabad

Published: 2004, Journal: Pak. Entomol, Cited By: 16

6.Β  Intelligent data analytics in energy optimization for the internet of underwater things

Published: 2021, Journal: Soft Computing, Cited By: 12

7.Β  A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

Published: 2022, Journal: IEEE Access, Cited By: 11

8.Β  GenInfoGuardβ€”a robust and distortion-free watermarking technique for genetic data

Published: 2015, Journal: PloS One, Cited By: 8

9.Β  Semantic interoperability in E-health for improved healthcare

Published: 2012, Journal: Semant, ACTION-APPLICATIONS Scenar, Cited By: 8

10.Β  A Semantic Methodology for Customized Healthcare Information Provision

Published: 2012, Journal: Information Sciences Letters, Cited By: 6