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 🎓, 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:

Google Scholar

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 “MITO 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 “Research 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

Citation – 31

Feasibility of parent communication training with remote coaching using smartphone apps

Citation – 29

Human-computer interaction across the Arab world

Citation – 29

Measuring the user experience of digital books with children: An eyetracking study of interaction with digital libraries

Citation – 16

Mr Farshad Bolouri: Artificial Intelligence | Best Researcher Award

Research Associate at Texas Tech University, United States

Farshad Bolouri is an accomplished researcher with a Master’s degree in Electrical Engineering from Texas Tech University, specializing in Computer Vision, Machine Learning, Robotic Perception, and Remote Sensing. His research interests focus on Agricultural Robotics, Precision Farming, and Machine Learning in Digital Agriculture.

🎓 Education :

Farshad Bolouri, a mastermind in Electrical Engineering, graduated with a Master of Science from Texas Tech University in August ’23 🎓. His stellar GPA of 3.86 reflects his dedication to his studies, with a focus on cutting-edge fields like Computer Vision, Machine Learning, Robotic Perception, and Remote Sensing 🌐🤖.

Prior to his master’s journey, Farshad excelled in his Bachelor’s in Computer Engineering, graduating Summa Cum Laude with a perfect GPA of 4.0 in May ’21 🏆. He added a touch of diversity with a minor in Mathematics and Computer Science, earning accolades such as the Highest Ranking Graduate from the College of Engineering and the ‘Outstanding Design Project’ award from ECE 🏅🔧.

Farshad’s academic journey is not just about grades; it’s a testament to his passion for pushing boundaries and achieving excellence in the realm of technology and engineering 🚀.

🔍 Research Interests :

Farshad Bolouri’s research interests are a captivating blend of technology and agriculture 🌾. In the realm of Agricultural Robotics and Precision Farming, he’s delving into the development of custom robotic solutions. His focus lies on intelligent multi-sensor integration, aiming to optimize in-field plant phenotyping specifically for specialty crops 🤖🌱. Venturing into the realm of Machine Learning in Digital Agriculture, Farshad applies cutting-edge AI/ML techniques for data interpretation. His goal is to enable accurate high-throughput phenotyping and precise yield estimation, revolutionizing the way we approach modern farming practices 📊🌾. In the domain of 3D Computer Vision for Field Mapping, Farshad employs advanced techniques for accurate and real-time field mapping. By integrating 3D computer vision, he aims to enhance the precision and efficiency of agricultural decision-making processes 🌐🚜.

Research Focus:

Farshad Bolouri’s research focus spans across Agricultural Robotics and Precision Farming 🌾, as evident in his groundbreaking work on “CottonSense.” This High-Throughput Field Phenotyping System leverages intelligent multi-sensor integration for optimized cotton fruit segmentation and enumeration on edge devices, revolutionizing cotton farming practices 🤖🌱. Additionally, his contribution to improving short-term multiphase production forecasts in unconventional tight oil reservoirs showcases a keen interest in merging technology with geoenergy science and engineering ⛽🔍. Farshad’s commitment to advancing phenotyping for flower abortion in soybeans through image analysis and machine learning demonstrates a versatile expertise in the intersection of agriculture, computer vision, and AI 🌺🔬.

Publications Top Notes :

CottonSense: A high-throughput field phenotyping system for cotton fruit segmentation and enumeration on edge devices