Mr. Mohammed Aljamal | Artificial Intelligence | Best Researcher Award

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Mr. Mohammed Aljamal | Artificial Intelligence | Best Researcher Award 

Mr. Mohammed Aljamal, University of Bridgeport, United States

Mohammed Aljamal is a Laboratory Engineer and Ph.D. candidate in Computer Science & Engineering, based in the New York City Metropolitan Area. He holds a Master’s degree in Artificial Intelligence from the University of Bridgeport and is actively engaged in academic and professional communities as the President of the UB Robotics Club and a member of AIAA, UPE, and the Honor Society. With over four years of experience at the University of Bridgeport, he has contributed as a Laboratory Engineer, Graduate Research Assistant, and Teaching Assistant, specializing in laboratory management, hardware and software solutions, and IT infrastructure. His expertise spans project leadership, problem-solving, cross-functional team management, and innovative solution design. Beyond academia, Mohammed has a strong background in consulting, resource allocation, and international collaboration, having successfully led and completed critical projects. Passionate about technology and innovation, he continuously seeks opportunities to develop solutions that enhance user experiences and drive technological advancement.

Professional Profile:

GOOGLE SCHOLAR

Suitability of Mohammed Aljamal for the Best Researcher Award

Mohammed Aljamal is a highly skilled and innovative researcher with a strong background in Artificial Intelligence, Computer Science, and Engineering. His Ph.D. candidacy, extensive teaching experience, and leadership roles at the University of Bridgeport demonstrate his dedication to academic excellence and technological advancements.

Education 🎓

  • Ph.D. Candidate in Computer Science & Engineering – University of Bridgeport (Ongoing)
  • Master’s Degree in Artificial Intelligence – University of Bridgeport
  • Bachelor’s Degree in [Field Not Specified] – [University Not Specified]

Work Experience 💼

University of Bridgeport (4 years 1 month)

  • Labs Engineer (Feb 2022 – Present) ⚙️

    • Improved and maintained laboratory equipment.
    • Developed detailed hardware and software data for lab management.
    • Conducted inspections and routine maintenance on lab equipment.
    • Implemented new technology solutions and disaster recovery plans.
    • Coordinated IT services to ensure data availability and security.

  • Graduate Research & Teaching Assistant (Jan 2022 – Feb 2022) 📚

    • Assisted in research projects and student instruction.

  • Teaching and Laboratory Assistant (Feb 2021 – Dec 2021) 🏫

    • Assisted undergraduate and graduate students in Intro to Robotics.
    • Managed lab hours, discussions, assignments, and exams.

Achievements & Leadership 🌟

  • President of UB Robotics Club 🤖 – Leading robotics initiatives and student projects.
  • Successfully completed two delayed projects 🎯 – Resolved critical issues and met client satisfaction.
  • Consulted and collaborated with international vendors 🌍 – Gained experience in global tech solutions.
  • Designed and implemented innovative lab solutions 🔧 – Optimized university lab resources.

Awards & Honors 🏆

  • Member of AIAA (American Institute of Aeronautics and Astronautics) 🚀
  • Member of UPE (Upsilon Pi Epsilon – International Honor Society for Computing) 🖥️
  • Honor Society Member 🎖️

Publication Top Notes:

 

 

Ms. Saleha Kamal | Pattern Recognition Awards | Best Researcher Award

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Ms. Saleha Kamal | Pattern Recognition Awards | Best Researcher Award 

Ms. Saleha Kamal, Air University, Pakistan

Saleha Kamal is an accomplished AI and Computer Vision professional based in Rawalpindi, Pakistan, with expertise in image processing, silhouette detection, segmentation, and feature classification. She is currently pursuing an MS in Computer Science at Air University, Islamabad, Pakistan (2023-2025). Saleha’s research focuses on human interaction analysis and the development of advanced algorithms for computer vision tasks. Her work has been published in esteemed international conferences, including IEEE ICECT 2024 and IEEE ICET 2024, showcasing her innovative contributions to multi-feature descriptors and composite feature-based classifiers for human interaction recognition.

Professional Profile:

GOOGLE SCHOLAR

Suitability of Saleha Kamal for the Best Researcher Award

Saleha Kamal demonstrates exceptional potential and achievements in AI, machine learning, and computer vision research, making her a compelling candidate for the Best Researcher Award. Her dedication to advancing knowledge in human interaction recognition, along with her technical and academic accomplishments, positions her as a rising star in the research community.

Education 🎓

  • MS in Computer Science (2023 – 2025)
    Air University, Islamabad, Pakistan

Work and Research Experience 💼

  • Research Experience
    • Co-authored research papers published in international conferences:
      • “Multi-Feature Descriptors for Human Interaction Recognition in Outdoor Environments” – IEEE ICECT, 2024.
      • “A Novel Human Interaction Recognition via Composite Features and Max Entropy Classifier” – IEEE ICET, 2024.

Achievements and Certifications 🏆

  • Published research in prestigious IEEE conferences.
  • Certifications:
    • Advanced Computer Vision with TensorFlow – Coursera, 2023.
    • Machine Learning Specialization – Coursera, 2023.

Publication Top Notes:

A Novel Human Interaction Recognition via Composite Features and Max Entropy Classifier

CITED:8

CITED:6

Prof. Dr. Fawaz Al-Anzi | Natural Language Awards | Best Researcher Award

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Prof. Dr. Fawaz Al-Anzi | Natural Language Awards | Best Researcher Award

Prof. Dr. Fawaz Al-Anzi, Abdullah Al Salem University/Kuwait University, Kuwait

Fawaz S. Al-Anzi is a distinguished academic and administrator in the field of computer engineering, currently serving as the Vice President of Planning & Institutional Excellence at Abdullah Al Salem University in Kuwait. He holds a Ph.D. and M.Sc. in Computer Science from Rensselaer Polytechnic Institute, as well as a B.Sc. in Electrical Engineering with honors from Kuwait University. His extensive career includes founding Dean of the College of Computing Science and Engineering at Kuwait University, where he has been a faculty member since 1995. Professor Al-Anzi’s research interests encompass various aspects of computer engineering, and he has received numerous awards for his contributions to the field, including the Arab League Award for Best Idea to Ration Water and the Best E-Government Solution Award. He is also recognized for his innovative work, holding a patent for a planter system made from scrap tires. In addition to his academic roles, he has held several key positions in national committees related to higher education and accreditation in Kuwait, demonstrating his commitment to advancing education and quality assurance in the region.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Fawaz S. Al-Anzi

Dr. Fawaz S. Al-Anzi is a distinguished candidate for the Best Researcher Award, possessing extensive academic credentials, significant professional experience, and notable contributions to the field of computer engineering. His educational background, including a Ph.D. in Computer Science and a B.Sc. in Electrical Engineering, demonstrates a solid foundation in both theoretical and practical aspects of his discipline.

🎓 Education

  • Ph.D. in Computer Science
    Rensselaer Polytechnic Institute, Troy, NY, USA
    June 1995
  • M.Sc. in Computer Science
    Rensselaer Polytechnic Institute, Troy, NY, USA
    December 1989
  • B.Sc. in Electrical Engineering (with honors)
    Kuwait University, Safat, Kuwait
    June 1987

💼 Work Experience

  • Vice President of Planning & Institutional Excellence
    Abdullah Al Salem University, Kuwait
  • Founding Dean (March 2011 – June 2016)
    College of Computing Science and Engineering, Kuwait University, Kuwait
  • Professor (June 2007 – Present)
    Department of Computer Engineering, Kuwait University, Kuwait
  • Associate Professor (October 2002 – June 2007)
    Department of Computer Engineering, Kuwait University, Kuwait
  • Assistant Professor (September 1995 – October 2002)
    Department of Computer Engineering, Kuwait University, Kuwait
  • Research Assistant (August 1988 – August 1995)
    Center of Automated Manufacturing, Rensselaer Polytechnic Institute, Troy, New York, USA
  • Lab Engineer (November 1987 – August 1988)
    Department of Electrical and Computer Engineering, Kuwait University, Kuwait

🏆 Achievements, Awards, and Honors

  • Arab League Award for Best Idea to Ration Water, Doha, Qatar (2014) 🌊
  • Best E-Government Solution Award for supervising the Electronic Linkage of IT System of Ministry of Electricity and Water and Kuwait Municipality, KFAS (2010) 💻
  • Best Paper Award at Kuwait’s first GIS Workshop, KFAS, Arab Association (2006) 📜
  • Kuwait University Research Performance Award for Research Administration (2005) 🌟
  • KFAS 2004 Engineering Research Award (first class research prize awarded by His Highness Amir of Kuwait, 2004) 🏅
  • Computer Engineering Scholarship Award for M.Sc. and Ph.D. studies at Kuwait University (1989-1995) 🎓
  • Model Student Award, College of Engineering and Petroleum, Kuwait University (1986) 🥇
  • Represented Kuwait University in various international programs and conventions:
    • Students in Convention of London International Youth, UK (Summer 1984) 🇬🇧
    • Students Exchange Program with US External Affairs, USA (Summer 1985) 🇺🇸
    • Students Exchange Program with African Nations, Somalia (Spring 1986) 🌍
  • Patent: Planter System Made with Scrap Tires, Patent Registration in USA Patent Office (File number US 2018/0014482 A1, Jan 18, 2018) 🧩

Publication Top Notes:

Revealing the Next Word and Character in Arabic: An Effective Blend of Long Short-Term Memory Networks and ARABERT

Predictive Maintenance in Industrial IoT (IIoT)

Continuous Arabic Speech Recognition Model with N-gram Generation Using Deep Speech

The knowledge and innovation challenges of ChatGPT: A scoping review

Social Spider Optimization for Text Classification Enhancement

Design and analysis of intrusion detection systems for wireless mesh networks

Assoc Prof Dr. Wenlong Hang | Artificial Intelligence Award | Best Researcher Award

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Assoc Prof Dr. Wenlong Hang | Artificial Intelligence Award | Best Researcher Award

Assoc Prof Dr. Wenlong Hang, Nanjing Tech University, China

Wenlong Hang holds a Doctor of Engineering degree from Jiangnan University, where he graduated in June 2017, specializing in Light Industry Information Technology. During his doctoral studies, he visited both Hong Kong Polytechnic University and the Shenzhen Institutes of Advanced Technology. Since September 2017, Dr. Hang has been a faculty member at the School of Computer Science and Technology at Nanjing Tech University. His research interests primarily focus on artificial intelligence and machine learning, with a particular emphasis on medical image analysis and EEG signal processing. He has published more than 30 papers in reputable journals and conferences, contributing significantly to semi-supervised learning, federated learning, and EEG classification techniques. His representative works include research on medical image segmentation, reliability-aware semi-supervised frameworks, and domain-generalized EEG classification.

Professional Profile:

Summary of Suitability for Best Researcher Award :

Wenlong Hang is highly suitable for the Best Researcher Award based on his extensive research and contributions in the fields of artificial intelligence, machine learning, and medical image processing. His academic background, with a Doctor of Engineering degree from Jiangnan University, and professional experiences at institutions like Hong Kong Polytechnic University and Shenzhen Institutes of Advanced Technology, demonstrates his deep involvement in advanced technological research.

Education:

  • Doctor of Engineering (Graduated in June 2017)
    • Major: Light Industry Information Technology
    • Institution: Jiangnan University
    • Doctoral Visits: Hong Kong Polytechnic University, Shenzhen Institutes of Advanced Technology

Work Experience:

  • Since September 2017: Faculty Member
    • Position: Professor at the School of Computer Science and Technology
    • Institution: Nanjing Tech University

Research Areas:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Medical Image Segmentation
  • EEG Classification

Publication top Notes:

CITED: 109
CITED: 109
CITED: 73
CITED: 67
CITED: 34
CITED: 33

 

Assist Prof Dr. Le Phuong | Speech Processing | Best Researcher Award

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Assist Prof Dr. Le Phuong | Speech Processing | Best Researcher Award

Assist Prof Dr. Le Phuong ,Fu Jen Catholic University, Taiwan, Taiwan

Dr. Phuong Thi Le is an accomplished researcher and academic specializing in image processing, biomedical processing, and multimedia processing. She holds a Ph.D. in Biomedical Science and Engineering from National Central University, Taiwan, where she developed expertise in deep learning-based skin lesion segmentation. Her prior education includes an M.S. in Computer Science and Information Engineering from the same university and a B.S. in Industrial Technique Teacher Education from Danang University of Science and Technology, Vietnam. Dr. Le has contributed to the field through publications in SCI journals and notable conferences.Currently, Dr. Le is an Assistant Professor in the Department of Computer Science and Information Engineering at Fu Jen Catholic University, Taiwan. She also has valuable postdoctoral research experience from National Central University

Professional Profile:

ORCID

 

Education:

  • Ph.D. in Biomedical Science and Engineering (2019 – 2022)
    • National Central University, Taiwan
    • Thesis: “A Study on Deep Learning Based Skin Lesion Segmentation”
    • Advisors: Yi-Chiung Hsu, Co-Advisor: Jia-Ching Wang
  • M.S. in Computer Science and Information Engineering (2017 – 2019)
    • National Central University, Taiwan
    • Thesis: “An ACPX Model for Retinal Edema Segmentation”
    • Advisor: Jia-Ching Wang
  • B.S. in Industrial Technique Teacher Education (2012 – 2016)
    • Danang University of Science and Technology, Vietnam
    • Thesis: “Design and Product a Base Voltage Inverter by Space Vector Methodology”
    • Advisor: Quang Huy Giap

Work Experience:

  • Assistant Professor, Department of Computer Science and Information Engineering (08/2023 to present)
    • Fu Jen Catholic University, Taiwan
  • Postdoctoral Researcher, Department of Computer Science and Information Engineering (12/2022 – 07/2023)
    • National Central University, Taiwan

Publication top Notes:

 

Few-Shot Image Segmentation Using Generating Mask with Meta-Learning Classifier Weight Transformer Network

Implementation of Sound Direction Detection and Mixed Source Separation in Embedded Systems

Semantic-Based Public Opinion Analysis System

Convolutional Blur Attention Network for Cell Nuclei Segmentation