Tag: AI Innovation Recognition

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. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Published on 30/04/202402/05/2024 by Global Network Awards

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

📚 Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

📅 Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

🏅 Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

Towards Trustworthy Metaverse: Advancements and Challenges
- Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
- Published in: IEEE Access (2023)
- Cited by: 7
Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
- Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
- Published in: Natural Language Processing Journal (2024)
- Cited by: 1
Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
- Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
- Published in: Computers and Electrical Engineering (2024)
Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
- Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
- Published in: Informatics in Medicine Unlocked (2024)
TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
- Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
- Published in: Data in Brief (2024)

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

Published on 27/04/2024 by Global Network Awards

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:

🎓 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:

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
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
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
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
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

Published on 04/04/202404/04/2024 by Global Network Awards

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:

Google Scholar Metrics:

🎓 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.

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:

Advanced drone battery charging system
- Published in the Journal of Electrical Engineering & Technology.
- Year: 2019
- Cited by: 35
Comparison of position control of a gyroscopic inverted pendulum using PID, fuzzy logic and fuzzy PID controllers
- Published in the International Journal of Fuzzy Logic and Intelligent Systems.
- Year: 2018
- Cited by: 27
Heterogeneous parallelization for object detection and tracking in UAVs
- Published in IEEE Access.
- Year: 2020
- Cited by: 21
Design of fuzzy logic tuned PID controller for electric vehicle based on IPMSM using flux-weakening
- Published in the Journal of Electrical Engineering and Technology.
- Year: 2018
- Cited by: 19
An integrated fault detection and identification system for permanent magnet synchronous motor in electric vehicles
- Published in the International Journal of Fuzzy Logic and Intelligent Systems.
- Year: 2018
- Cited by: 10

Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

Published on 28/03/202428/03/2024 by Global Network Awards

Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

Dr. Konstantinos A. Tsintotas, Democritus University of Thrace, Greece

Dr. Konstantinos A. Tsintotas is a highly educated individual with a Ph.D. in Robotics from Democritus University of Thrace, Greece, complemented by a diverse academic background including a Certificate of Pedagogical and Teaching Competence. His expertise extends across academia and industry, having served as an Adjunct Assistant Professor at the International Hellenic University and holding positions as a Researcher at both Democritus University and Aristotle University of Thessaloniki. With a strong foundation in mechatronics and automation engineering, Dr. Tsintotas is proficient in computer vision, electronics, and various programming languages such as Matlab and Python. His practical experience as an Automation Engineer further enhances his skill set, making him adept at problem-solving and fostering collaborative environments.

Professional Profile:

Google Scholar Metrics:

🎓 Education:

Dr. Konstantinos A. Tsintotas holds a Ph.D. in Robotics from Democritus University of Thrace, Greece. He also earned a Certificate of Pedagogical and Teaching Competence from the School of Pedagogical and Technological Education in Kozani, Greece, a Master of Science in Mechatronics from the Technological Education Institute of Western Macedonia, and a Bachelor of Science in Automation Engineering from the Technological Education Institute of Chalkida. Additionally, he holds a Certificate of Competency in English from The University of Michigan, Ann Arbor.

👨‍🏫 Academia:

Dr. Tsintotas has served as an Adjunct Assistant Professor at the International Hellenic University in Serres and as an Adjunct Lecturer at the International Hellenic University in Katerini.

📚 Research Focus:

Dr. Tsintotas is a leading researcher in the dynamic field of mobile robotics 🤖 With a focus on autonomous systems, his work pushes the boundaries of innovation in visual-based navigation and place recognition 🌐 His contributions pave the way for safer and more efficient autonomous vehicles and robotic systems, shaping the future of technology and exploration 🚀

🔬 Research Experience:

Currently, he is engaged as a Postdoctoral Researcher at Democritus University of Thrace. Previously, he held positions as a Researcher and Teaching Assistant at the same university and as a Researcher at Aristotle University of Thessaloniki. Dr. Tsintotas also has practical experience as an Automation Engineer at Zalikas – Liontas construction company and as an Automation Engineer Intern at COOPER Industries – Menvier Univel Ltd.

💻 Skills:

Dr. Tsintotas is proficient in computer vision, electronics, and data analysis & visualization. He is skilled in programming languages such as Matlab, Python, HTML, and Ladder. His soft skills include analytical & critical thinking, creativity, productivity, and being a team player.

📚 Publication Impact and Citations :

Scopus Metrics:

📝 Publications: 36 documents indexed in Scopus.
📊 Citations: A total of 430 citations for his publications, reflecting the widespread impact and recognition of Dr. Tsintotas’s research within the academic community.

All Time:
- Citations: 586 📖
- h-index: 15 📊
- i10-index: 19 🔍
Since 2018:
- Citations: 584 📖
- h-index: 15 📊
- i10-index: 19 🔍

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

Publication Top Notes:

Assigning visual words to places for loop closure detection
- Published in the 2018 IEEE International Conference on Robotics and Automation (ICRA).
- Cited by: 73
- Published Year: 2018
Probabilistic appearance-based place recognition through bag of tracked words
- Published in the IEEE Robotics and Automation Letters.
- Cited by: 51
- Published Year: 2019
Modest-vocabulary loop-closure detection with incremental bag of tracked words
- Published in Robotics and Autonomous Systems.
- Cited by: 44
- Published Year: 2021
Fast and incremental loop closure detection with deep features and proximity graphs
- Published in the Journal of Field Robotics.
- Cited by: 38
- Published Year: 2022
Continuous emotion recognition for long-term behavior modeling through recurrent neural networks
- Published in Technologies.
- Cited by: 28
- Published Year: 2022

Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

Published on 08/03/202408/03/2024 by Global Network Awards

Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

Assoc Prof Dr. Wenbo Zhu, Foshan University, China

👨‍🎓 Dr. Wenbo Zhu, PhD, serves as the Associate Dean and Associate Professor in the School of Mechatronical Engineering and Automation at Foshan University. 🏫 With 8 years of experience, Dr. Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from prestigious institutions. 🎓 His expertise spans image processing, pattern recognition, and artificial intelligence applications, evident through his leadership in national and provincial research projects. 🌐 Actively engaged in academic and professional organizations, Dr. Zhu holds key positions in associations like the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch. 🔬 His prolific research output includes numerous publications in esteemed journals, patents, and software copyrights, reflecting his commitment to advancing artificial intelligence. 📈 Dr. Zhu’s contributions extend beyond academia, as he collaborates with industry leaders and governmental bodies, playing a vital role in shaping the future of AI technology. 🌟

Professional Profile:

📚 Education:

Dr. Wenbo Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from Harbin Engineering University and South China University of Technology, respectively.

📅 Experience:

With over 8 years of experience, he serves as a Master’s supervisor and actively contributes to academic and professional organizations, including the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch.

🔍 Research Focus:

Dr. Zhu specializes in image processing, pattern recognition, and artificial intelligence applications, leading numerous national and provincial research projects. His work includes innovative contributions to panoramic vision systems and medical imaging.

🏅 Achievements:

He has published extensively in esteemed journals, showcasing his dedication to advancing research in artificial intelligence.

💡 Contributions:

As President of the Foshan Artificial Intelligence Society and a member of various national committees, Dr. Zhu collaborates with top universities and industry leaders, contributing significantly to AI development through papers, patents, and software copyrights.

Scopus Metrics:

📝 Publications: 58 documents indexed in Scopus.
📊 Citations: A total of 311 citations for his publications, reflecting the widespread impact and recognition of Dr. Wenbo Zhu’s research within the academic community.

Publication Top Notes:

Waterproof Triboelectric Nanogenerators Based on Ag Nanoparticle/Chitosan Composites for Transmitting Morse Code
- Published in ACS Applied Nano Materials in 2023.
- 2 citations.
High-performance triboelectric nanogenerator based on ZrB2/polydimethylsiloxane for metal corrosion protection
- Published in International Journal of Minerals, Metallurgy and Materials in 2023.
- 1 citation.
RFCT: Multimodal Sensing Enhances Grasping State Detection for Weak-Stiffness Targets
- Published in Mathematics in 2023.
Critical electric field stabilizing structure of Al2O3/TiO2/Al2O3 thin film for achieving high energy density
- Published in Ceramics International in 2023.
- 3 citations.
Forecasting by Combining Chaotic PSO and Automated LSSVR
- Published in Technologies in 2023.
- 1 citation.

Prof. Subir Das | Neural Networks | Best Researcher Award

Published on 29/02/202401/03/2024 by Global Network Awards

Prof. Subir Das | Neural Networks | Best Researcher Award

Prof.Subir Das, Indian Institute of Technology (BHU) Varanasi, India

Prof. Subir Das is a distinguished Professor in the Department of Mathematical Sciences at the Indian Institute of Technology (BHU), Varanasi, India. Additionally, he holds the position of Visiting Professor at UCSI University in Kuala Lumpur, Malaysia. With a solid educational background, Subir earned his M.Sc. in Applied Mathematics and subsequently completed his Ph.D. in Science, being honored with the Griffith Memorial Award in Science from the University of Calcutta in 2001. Renowned for his expertise, Subir’s research interests span diverse areas such as Fracture Mechanics, Fractional Calculus, Mathematical Modeling, and Nonlinear Dynamics. His significant contributions to these fields have earned him recognition, including being listed among the world’s top 2% scientists in a global database curated by Stanford University, California, USA. With a passion for advancing mathematical sciences, Subir Das continues to leave an indelible mark in his academic journey.

🌐 Professional Profile: