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

Published on by Network Awards

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

 

 

Mr. Valdemar Leiras | Machine Learning Awards | Academic Excellence in Network Protocol Studies Award-2719

Published on by Network Awards

Mr. Valdemar Leiras | Machine Learning Awards | Academic Excellence in Network Protocol Studies Award

Mr Valdemar Leiras, University of Minho, Portugal

Valdemar Leiras is a highly skilled mechatronic engineer from Portugal. With a diverse background in various fields such as automation, industrial programming, and electrical engineering, he has made significant contributions in both academic and professional settings.

Valdemar’s journey began with a Bachelor’s degree in Renewable Energy Systems Engineering from Instituto Politécnico de Viana do Castelo, where he gained expertise in areas such as automation systems, electric power control, and energy efficiency. He further pursued his education with a Master’s degree in Mechatronics Engineering and eventually completed his Ph.D. in Advanced Engineering Systems for Industry from the University of Minho.

Professional Profile:

GOOGLE SCHOLAR

🎓 Educational Odyssey

Valdemar embarked on his academic expedition at the Instituto Politécnico de Viana do Castelo, where he pursued a Bachelor’s Degree in Renewable Energy Systems Engineering from 2010 to 2015. His thirst for knowledge led him further to the Universidade do Minho, where he earned a Master’s Degree in Mechatronics Engineering (2015-2017) and subsequently delved into the realms of advanced engineering, culminating in a Ph.D. in Advanced Engineering Systems for Industry.

🔧 Professional Prowess

His professional journey is a tapestry of diverse experiences. From serving as a Technician at António da Costa Carvalho & Ca., Lda, to contributing as a Researcher at Universidade do Minho, Valdemar has left an indelible mark in various sectors. His role as a Guest Lecturer at Instituto Politécnico do Cávado e do Ave underscores his dedication to knowledge dissemination and nurturing the next generation of engineers.

💼 Freelance Virtuoso

As a Mechatronic Engineer Freelancer, Valdemar’s expertise shines through in his adeptness at designing industrial systems, industrial programming, and crafting intricate electrical diagrams and circuits. His prowess extends to drawing up industrial automation projects, showcasing a blend of creativity and technical acumen.

🌱 Continuous Growth

Valdemar’s thirst for growth is unquenchable. He has honed his skills in digital marketing through courses like “Digital Marketing” by Google, showcasing his adaptability to evolving technological landscapes.

🚀 Innovator and Leader

Beyond his professional endeavors, Valdemar has been a guiding light in various community initiatives, serving as a mentor at CoderDojo Esposende and holding leadership roles in citizens’ associations, reflecting his commitment to societal progress and community engagement.

Valdemar Leiras stands as a beacon of inspiration in the realm of mechatronics, blending technical prowess with a passion for innovation and community empowerment. His journey epitomizes the spirit of relentless pursuit of excellence and unwavering dedication to engineering marvels.

Publication Top Notes:

1. Work cell for assembling small components in PCB
2. Iso23247 digital twin approach for industrial grade radio frequency testing station
3. Design, Development and Construction of a New Medical Wrist Rehabilitation Device: A Project Review
4. Machine Learning based calibration SDR in Digital Twin application
5. Metrological Evaluation of Software-Defined Radios (Adalm-Pluto and LimeSDR usb) in Radio Frequency Signal Generation

 

 

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Published on by Network Awards

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Dr. Zhihe Lu, National University of Singapore, Singapore

👨‍💼 Zhihe Lu is a dedicated researcher in the field of Computer Vision, with a focus on Transfer Learning, Few-shot Learning, and Continual Learning. He holds a Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK, where he conducted innovative research under the supervision of Prof. Tao Xiang. Prior to that, he completed his Master’s Degree in Computer Vision at the Institute of Automation, Chinese Academy of Sciences, and obtained a Bachelor of Engineering in Automation from Zhengzhou University. Currently, Zhihe serves as a Research Fellow at the National University of Singapore, contributing to the CARTIN project for scene understanding. His previous experience includes an internship at the AI center of Samsung, UK. Zhihe’s passion for advancing computer vision technologies drives his commitment to exploring novel approaches in the field. 🖥️

Professional Profile:

Google Scholar

📚 Education:

  • Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK (2019.07 – 2022.09) under the supervision of Prof. Tao Xiang.
  • Master’s Degree in Computer Vision from Institute of Automation, Chinese Academy of Sciences (2016.09 – 2019.06) under the supervision of Prof. Ran He.
  • Bachelor of Engineering in Automation from College of Electrical Engineering, Zhengzhou University (2010.09 – 2014.06).

💼 Working Experiences:

  • Research Fellow at National University of Singapore, Singapore (2022.09 – Present), working on part of the CARTIN project for scene understanding.
  • Intern at AI center of Samsung, UK (2021.10 – 2022.04).

🔍 Research Interests:

Zhihe Lu’s research interests lie in the areas of Computer Vision, Transfer Learning, Few-shot Learning, and Continual Learning.

Publication Top Notes: