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

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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. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

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Mr. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

Mr. Asif Mehmood, National university of technology, Pakistan

Asif Mehmood is a dedicated professional with a strong academic background and diverse expertise in computer sciences. Currently pursuing a PhD in Computer Sciences at COMSATS University Islamabad, Wah Campus, he holds a Master’s degree and a Bachelor’s degree in the same field. With a keen interest in machine learning and deep learning, Asif has contributed to notable publications in prestigious journals, focusing on human gait recognition and biometric techniques. His experience spans from research associate roles to lecturing positions at HITEC University Taxila, showcasing his commitment to academia and research. Asif’s technical proficiency includes programming languages such as MATLAB, JavaScript, and Java, along with extensive experience in project development and academic projects. He resides in Attock, Punjab, Pakistan, and is open to providing references upon request.

Professional Profile:

Scopus

🎓 Education:

Asif Mehmood has pursued a remarkable academic journey, demonstrating consistent excellence in his educational endeavors. He commenced his formal education with a Bachelor of Science in Computer Sciences (BSCS) from the University of Wah, spanning from 2013 to 2017, where he attained a commendable CGPA of 3.46 out of 4.0. Building upon this foundation, he pursued a Master of Science in Computer Sciences (MSCS) at COMSATS University Islamabad, Wah Campus, from 2018 to 2020, achieving an impressive CGPA of 3.84. Asif further advanced his academic pursuits by undertaking a PhD in Computer Sciences at the same institution, currently in progress, with an outstanding CGPA of 3.94 thus far.

💼 Experience:

Asif Mehmood has enriched his professional experience through roles at HITEC University Taxila. He commenced as a Research Associate in January 2022, where he actively contributed to research endeavors until June 2022. Building upon his expertise, Asif transitioned into the role of Lecturer in Computer Science at the same institution in September 2022, a position he currently holds. These roles have allowed Asif to apply his academic knowledge and research skills in a practical setting while also nurturing the next generation of computer science professionals through teaching and mentorship.

📝 Projects:

Asif Mehmood has demonstrated his proficiency in software development and research through various notable projects. Among these, he developed a Document Clustering Search Engine using Java and MySQL, showcasing his skills in both programming and database management. Additionally, his thesis focused on Prosperous Human Gait Recognition, employing Machine Learning techniques within MATLAB, highlighting his expertise in this advanced field. Furthermore, Asif has undertaken diverse academic projects encompassing Assembly Language programming, Android app development, and web development, reflecting his versatility and innovative approach to problem-solving in the realm of computer science.

Publication Top Notes:

  1. Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features
    • Authors: Mehmood, A.; Amin, J.; Sharif, M.; Kadry, S.
    • Journal: Pattern Recognition Letters, 2024, 180, pp. 16–25
    • Citations: 0
  2. Prosperous Human Gait Recognition: an end-to-end system based on pre-trained CNN features selection
    • Authors: Mehmood, A.; Khan, M.A.; Sharif, M.; Riaz, N.; Ashraf, I.
    • Journal: Multimedia Tools and Applications, 2024, 83(5), pp. 14979–14999
    • Citations: 24
  3. TS2HGRNet: A paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities
    • Authors: Khan, M.A.; Mehmood, A.; Kadry, S.; Alsubai, S.; Alqatani, A.
    • Journal: Future Generation Computer Systems, 2023, 147, pp. 292–303
    • Citations: 3
  4. Human gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine
    • Authors: Khan, M.A.; Kadry, S.; Parwekar, P.; Khan, J.A.; Naqvi, S.R.
    • Journal: Complex and Intelligent Systems, 2023, 9(3), pp. 2665–2683
    • Citations: 23
  5. Human gait recognition: A deep learning and best feature selection framework
    • Authors: Mehmood, A.; Khan, M.A.; Tariq, U.; Mostafa, R.R.; ElZeiny, A.
    • Journal: Computers, Materials and Continua, 2021, 70(1), pp. 343–360
    • Citations: 8

 

 

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

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

Dr. Ali Rohan, National Subsea Centre, United Kingdom

👨‍🔬 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. 🤖✨

🌐 Professional Profile:

Scopus

Linkedin

Orcid

Google Scholar

🎓 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)

🖥️ 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)

🔍 Research Interests :

🤖 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. 🚀

🔬 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.

👨‍🏫 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.

🏅 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.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 19 documents indexed in Scopus.
  • 📊 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 📖
    • h-index: 14  📊
    • i10-index: 15 🔍
  • Since 2018:
    • Citations: 629 📖
    • h-index: 14 📊
    • i10-index: 14 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publication Top Notes:

 

 

 

Farshad Bolouri | Artificial Intelligence | Best Researcher Award

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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.

🌐 Professional Profiles:

🎓 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

 

 

Dr. Saman Iftikhar | Machine learning and Deep learning

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

Dr. Saman Iftikhar, Arab Open University, Saudi Arabia

🎓 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.

🔍 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 : 🌐

Scopus

Google Scholar

ORCID

🧠 Research Interests 🔬🌐 :

  • 🔐 Information Security
  • 🛡️ Data Security
  • 🌐 Cyber Security
  • 🔍 Digital Forensics
  • 🖥️ Computer Networking
  • 🔗Internet of Things (IoT)
  • 🧲Data Mining
  • 📊 Distributed Systems
  • 🌍 Semantic Web
  • 🤖 Artificial Intelligence
  • ☁️💻 Cloud Computing
  • 🖥️ Software Engineering
  • 💽 Databases

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 19 documents indexed in Scopus.
  • 📊 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 📖
    • h-index: 8 📊
    • i10-index: 7 🔍
  • Since 2018:
    • Citations: 255 📖
    • h-index: 7 📊
    • i10-index: 6 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications ( Top Note ) :

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

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

2.  RRW—A robust and reversible watermarking technique for relational data

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

3.  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.  A survey on reversible watermarking techniques for relational databases

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

5.  Biodiversity of insects associated with sugarcane crop in Faisalabad

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

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

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

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

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

8.  GenInfoGuard—a robust and distortion-free watermarking technique for genetic data

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

9.  Semantic interoperability in E-health for improved healthcare

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

10.  A Semantic Methodology for Customized Healthcare Information Provision

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