Molalign Adugna | Rehabilitation science | Best Researcher Award

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Dr. Molalign Adugna | Rehabilitation science | Best Researcher Award

Assistant professor, University of Gondar, Ethiopia

Dr. Molalign B. Adugna is a dedicated scholar and advocate for disability inclusion, serving as an Assistant Professor in the Department of Sociology at the University of Gondar, Ethiopia. With a Ph.D. in Rehabilitation Science from Queen’s University, Canada, Dr. Adugna’s research focuses on understanding and addressing barriers to healthcare, education, and social inclusion for individuals with disabilities.

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Scopus

 

Education 📚

Dr. Adugna earned his Ph.D. in Rehabilitation Science from Queen’s University in 2021, specializing in disability studies. Prior to that, he obtained an M.A. in Sociology from Addis Ababa University and a B.A. in Sociology and Social Anthropology with distinction from the same institution.

Experience 👨‍🔬

Dr. Adugna’s professional journey includes significant research and training roles, such as serving as a Research and Leadership Trainer at the University of Gondar and a Public Leadership and Research Fellow at Bridgewater State University, USA. He has also been actively involved in teaching and leadership positions within academia, contributing to the advancement of sociology and disability studies.

Research Interests 🔬

Dr. Adugna’s research interests revolve around disability inclusion, healthcare access, and social justice. He explores topics such as psychosocial well-being, job accessibility, and education barriers faced by individuals with disabilities, aiming to promote equitable opportunities and societal integration.

Awards 🏆

In recognition of his scholarly achievements and contributions to community development, Dr. Adugna has received honors such as the Mandela Washington Fellowship for Young African Leaders and various research grants from organizations like the Mastercard Foundation. His dedication to advancing disability rights and inclusive practices has garnered acclaim both locally and internationally.

Publications 📝

Adugna MB, Nabbouh F, Shehata, S, Ghahari S (2020). Barriers and Facilitators to Healthcare Access for Children with Disabilities in Low and Middle Income Sub-Saharan African Countries: A Scoping Review. BMC Health Services Research.

Krupa, T., Lysaght, R., Yehuala, Y.S., Aldersey, H.M., Adugna, M.B., Kessler, D., et al. (2022). Activity and participation experiences of people with disabilities in Ethiopia. African Journal of Disability.

Adugna MB, Ghahari S, Merkley S, Rentz K (2022). Children with disabilities in Eastern Africa face significant barriers to access education: a scoping review. International Journal of Inclusive Education.

Abebe M, Ahmed A, Gizaw Z, Chala M, Demissie S, Adugna MB, Abera M (2020). Disability and its prevalence and cause in northwestern Ethiopia: evidence from Dabat district of Amhara National Regional State: A community based cross-sectional study.

Adugna, M. B., Ghahari, S., & Lysaght, R. (2024). Disability stigma and the pursuit of inclusion among children with physical disabilities in northwest Ethiopia. Disability and Rehabilitation.

Adel Hanna | Civil Engineering | Best Researcher Award

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Prof Dr. Adel Hanna | Civil Engineering | Best Researcher Award

Civil Engineering, Concordia University, Montreal, Canada

Dr. Adel M. Hanna, Ph.D., P. Eng., F.ASCE, is a distinguished Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University. With a career spanning over four decades, he is renowned for his exceptional contributions to foundation engineering, including groundbreaking research, extensive publications, and influential leadership roles in professional societies.

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Scopus

 

Education 📚

Dr. Hanna completed his Ph.D. in Geotechnical Engineering at the Technical University of Nova Scotia (Dalhousie University) in 1978, focusing on the bearing capacity of footings on layered soils. Prior to that, he earned his M. Eng. from Cairo University and his B. Eng. from Ain-Shams University, both with a specialization in geotechnical and structural engineering.

Experience 👨‍🔬

As a pioneer in geotechnical engineering education, Dr. Hanna introduced the field to Concordia University in 1978. He has since led extensive research endeavors, served as a consultant on various projects globally, and supervised over 100 Master’s and Doctorate degrees. His expertise extends to foundation design, soil-structure interaction, dynamics, and mechanics of foundations, among other areas.

Research Interests 🔬

Dr. Hanna’s research interests encompass a wide range of topics within foundation engineering, including experimental, numerical, and analytical investigations on shallow and deep foundations, difficult soils, and the effects of differential settlement on superstructures. He is also passionate about advancing the understanding of soil-structure interaction and dynamic behaviors of foundations.

Awards 🏆

Dr. Hanna’s contributions to the field have been recognized with prestigious awards such as the G. Geoffrey Meyerhof Award in 2010 for his outstanding contribution to foundation engineering. His dedication and excellence have also earned him recognition from professional societies like the American Society of Civil Engineers (ASCE), where he is a Fellow.

Publications

📝 Here are some of Dr. Hanna’s notable publications:

Hanna, A. M., & Meyerhof, G. G. (1978). “Bearing Capacity of Footings under Vertical and Inclined Loads on Layered Soils.” Geotechnique. Cited by this article.

Hanna, A. M. (2003). “Foundation Engineering for Difficult Soils.” Journal of Geotechnical and Geoenvironmental Engineering. Cited by this article.

Hanna, A. M. (2010). “Soil-Structure Interaction in Shell-Type Foundations.” Canadian Geotechnical Journal. Cited by this article.

Chang Meng-Wei | Edge computing | Machine Learning Research Award

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Dr. Chang Meng-Wei | Edge computing | Machine Learning Research Award

Department of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan

Meng-Wei Chang is a visionary Chief Engineer with a knack for cutting-edge technology solutions. With a PhD in Electrical Engineering from National Taiwan University of Science and Technology, he has honed his skills in software foundations, computer architecture, and artificial intelligence. Chang’s career spans across various roles in prestigious companies like ADATA Technology and Admiral Overseas Corporation, where he showcased his expertise in product development and brand design. His innovative contributions include the development of the first Android TV set-top box at Tatung and leading the development of an autonomous mobile robot in collaboration with National Taiwan University.

Profile

SCOPUS

 

📚 Education:

Meng-Wei Chang holds a Ph.D. in Electrical Engineering from the National Taiwan University of Science and Technology, where his research focused on software foundations, computer architecture, and artificial intelligence. His academic journey has equipped him with a deep understanding of algorithms, embedded systems, and heterogeneous computing.

🛠️ Experience

Chang’s professional journey includes roles such as Leader Engineer at ADATA Technology, where he collaborated on the development of an autonomous mobile robot, and Leader Engineer at Admiral Overseas Corporation, where he led brand design initiatives. His tenure at Tatung saw him pioneering the development of the first Android TV set-top box, showcasing his expertise in product innovation and RFQ/RFI assessments.

🔬 Research Interests:

Meng-Wei Chang’s research interests lie in the realms of software foundations, computer architecture, and artificial intelligence. His work focuses on adaptive computing, neural networks, and heterogeneous computing architectures.

🏆 Awards:

Meng-Wei Chang’s contributions have been recognized in academia and industry, earning him prestigious awards and accolades for his innovative solutions and impactful research.

Publication:

Journal of the Chinese Institute of Engineers (JCIE) – Real-time multi-fusion perceptron architecture for autonomous drones (Published in 2022)

Journal of the Chinese Institute of Engineers (JCIE) – Adaptive Neural Acceleration Unit based on Heterogeneous Multicore Hardware Architecture FPGA and Software (Published in 2021)

Sang Dol Kim | Robotic nursing | Best Innovation Award

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Assoc Prof Dr. Sang Dol Kim | Robotic nursing | Best Innovation Award

Professor, Department of Nursing, College of Health Science, Kangwon National University, South Korea

Sang-Dol Kim is a distinguished Professor at Kangwon National University, South Korea, specializing in Public Health and Nursing Science. With over a decade of experience, Professor Kim has significantly contributed to the academic community through innovative teaching methods, extensive research, and leadership roles within the faculty. Their work focuses on the intersection of healthcare and technology, particularly concerning the elderly population.

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SCOPUS

Education 🎓

Kim earned a Doctor of Philosophy in Nursing Science from Catholic University, Seoul in 2003.

Experience 💼

Professor, Kangwon National University (March 2013 – Present)
Professor Kim engages students in complex theoretical concepts through innovative teaching methods, develops research programs, and provides academic leadership. They have a proven track record of publishing in peer-reviewed journals and integrating research with teaching to enhance student learning experiences.

Research Interests 🔬

Professor Kim’s research interests include elderly healthcare, technology acceptance in healthcare, nutrition, mental health, physical activity, obesity, and the impacts of COVID-19 on health services.

Awards 🏆

While specific awards are not listed, Professor Kim’s extensive publication record and leadership roles within the academic community highlight their recognition and contributions to the field.

Publications 📚

Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT. Technologies, MDPI, May 2024.
Cited by 10 articles.

Association between Chewing Difficulty and Dietary Ca, Vitamin D, and Mg Intake in Korean Older Adults: 8th Korea National Health and Nutrition Examination Survey (KNHANES) (2020-2021). Nutrients, MDPI, December 2023. Link
Cited by 5 articles.

Unmet Healthcare Needs among the Elderly Korean Population: Before and during the COVID-19 Pandemic. Systems, MDPI, September 2023.
Cited by 8 articles.

Health Approaches for Weight Perception and Weight Loss Efforts in Hypertensive Patients with Obesity: The 2016-2019 Korea National Health and Nutrition Examination Survey. Journal of the Korea Society of Computer and Information, March 2023.
Cited by 4 articles.

The Relationship between Physical Activity and Health-Related Quality of Life (HINT-Eight) in Middle-Aged Korean Women. Journal of Environmental and Public Health, Hindawi Ltd, October 2022. Link
Cited by 12 articles.

 

Shu Tang | Multi-view 3D reconstruction | Best Researcher Award

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Assoc Prof Dr. Shu Tang | Multi-view 3D reconstruction | Best Researcher Award

Associate Professor, Chongqing University of Posts and Telecommunications, China

Tang Shu is an Associate Professor at the College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China. Specializing in computer vision, his research focuses on image restoration and 3D reconstruction.

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ORCID

🎓 Education:

Tang Shu received his M.E. degree from Chongqing University of Posts and Telecommunications in 2007 and his Ph.D. from Chongqing University in 2013.

💼 Experience:

Tang Shu has been an Associate Professor at Chongqing University of Posts and Telecommunications since February 24, 2014, accumulating over 10 years of professional experience.

🔬 Research Interests:

Tang Shu’s research encompasses computer vision, image restoration, and 3D reconstruction. He has developed strategies like EFERS, SI-SDF, and VMES for enhancing surface information reconstruction, geometry optimization, and material estimation.

🏆 Awards:

Tang Shu has published over 10 academic papers, presided over 10 scientific research projects, and been granted 6 invention patents. He has completed significant projects including the 61601070 project and ongoing ones like CSTB2023NSCQ-MSX0680.

Publications

Here are some of Tang Shu’s notable publications:

Deep Convolutional-Neural-Network-Based Channel Attention for Single Image Dynamic Scene Blind Deblurring – Computer Aided Geometric Design, 2020.

Multi-Regularization-Constrained Blur Kernel Estimation Method for Blind Motion Deblurring – IEEE Transactions on Circuits and Systems for Video Technology, 2020.

Non-blind Image Deblurring Method by Local and Nonlocal Total Variation Models – Signal Processing, 2019.

Joint Texture/Depth Power Allocation for 3-D Video SoftCast – IEEE Transactions on Multimedia, 2018.

REAL-TIME TRACKING OF VEHICLES WITH SIAMESE NETWORK AND BACKWARD PREDICTION – IEEE Access, 2021.

 

qianqian zhang | Computer application technology | Best Dissertation Award

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Dr. qianqian zhang | Computer application technology | Best Dissertation Award

Doctoral student, University of Chinese Academy of Sciences, China

Qianqian Zhang is a doctoral student at the University of Chinese Academy of Sciences, specializing in computer application technology within the School of Computer Science and Technology and the National Space Science Center. With notable achievements in electronic information technology for complex space systems, Qianqian has excelled in both academic and research arenas.

Profile

ORCID

🎓 Education:

  • Bachelor’s Degree: Hefei University of Technology, School of Computer Science and Information, Electronic Information Science and Technology, 2017-2021 (Graduated with the highest average score).
  • Master’s Degree: University of Chinese Academy of Sciences, School of Computer Science and Technology/National Space Science Center, Computer Application Technology, 2021-2024 (GPA: 3.7/4.0).
  • Ph.D. Candidate: Continuing at the University of Chinese Academy of Sciences, with significant contributions including 4 patents and several research publications.

🛠 Experience:

Qianqian Zhang has 3 years of experience in the field of computer application technology, with a focus on AI, deep learning, computer vision, and electronic design. She has been mentored by leading experts and has extensive practical experience with PyTorch, PaddlePaddle, TensorFlow, and multimodal data.

🔬 Research Interests:

Her research interests include multimodal data processing, small target detection, model lightweighting, video compression, and efficient deployment of models. She has made significant contributions to the fields of intelligent computing and system-on-chip design.

🏆 Awards:

Qianqian has received numerous national and regional awards, including top prizes in robotics control competitions. Her academic excellence is recognized through various awards and honors in advanced mathematics and electronic design.

📚 Publications:

“Real-time Recognition Algorithm of Small Target for UAV Infrared Detection” (SCI Journal, 2023) [Cited by 5 articles]

“Design of H.264 Video Compression System Based on Domestic CPU+GPU” (Conference Paper, 2023) [Cited by 2 articles]

“Multi-YOLO: Small Target Detection Algorithm Based on Visible and Infrared Multimodal Fusion” (Contributing Paper, 2024) [Cited by 3 articles]

 

Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

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Mr. Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

Assistannt Professor, Chinese Academy of Agriculture Institute of Urban Agriculture, China

Mr. Zhiwei Tian is an Assistant Professor at the Intelligent Gardening Equipment Research Center, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences. With a passion for agricultural robotics, he has made significant contributions to the field through innovative research and development.

Profile

Google Scholar

Education: 🎓

Zhiwei Tian holds a Bachelor’s degree from Sichuan Agricultural University (2013-2017) and a Master’s degree from the Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture and Rural Affairs (2017-2020). He is currently pursuing a Ph.D., which he started in 2021.

Experience: 📚

With over 7 years of experience in the field, Zhiwei Tian has worked extensively on agricultural robotic systems. His work includes target precise recognition algorithms and the design of adaptive end-effectors. He has served as an engineer during his Master’s studies and now as an Assistant Professor since July 2020.

Research Interests: 🔍

His primary research interests lie in agricultural robotics, focusing on machine vision-based target detection and the development of robotic systems for complex agricultural environments. His notable innovations include the RTF-YOLO network model for strawberry detection and the YCCB-YOLO algorithm for citrus fruit detection.

Awards: 🏆

Zhiwei Tian’s work has earned him multiple recognitions, including the “High Download, High Citation” award from CNKI in 2023. He has been invited to speak at prestigious conferences such as the FAO Youth Scientist Development Forum and the International Tropical Fruit Symposium.

Publications and Citations

“Detection of Strawberry Using RTF-YOLO Network Model” (2022, Agronomy)
Cited by 20 articles
Detection of Strawberry Using RTF-YOLO Network Model

“Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm” (2023, Applied Sciences)
Cited by 15 articles
Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm

“Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings” (2021, Agriculture)
Cited by 10 articles
Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings

 

 

 

 

Ali Arshad | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr . Ali Arshad | Artificial Intelligence | Best Researcher Award

Head of Department & Associate Professor, NASTP Institute of Information Technology, Lahore, Pakistan

Dr. Ali Arshad is an accomplished academic and researcher with expertise in  Artificial Intelligence and Healthcare. He holds a Ph.D. in Computer Science and Technology from Xidian University, China, and has over 15 years of experience in academia and research

Profile

Google Scholar

Education🎓

Dr. Ali Arshad completed his Ph.D. in Computer Science and Technology from Xidian University, China, focusing on Semi-Supervised Deep Fuzzy C-Mean Clustering and Classification. Prior to that, he obtained an MS in Software Engineering from the International Islamic University, Islamabad, and a BS in Computer Science from IQRA University, Islamabad.

Experience 💼

With a rich background spanning 15 years, Dr. Arshad has held various academic and professional positions. Notably, he served as an Assistant Professor at institutions like the National University of Technology and Abasyn University. He also worked as a Research Associate at Xidian University and held managerial roles in software development.

Research Interests 🧠

Dr. Arshad’s research interests lie at the intersection of Artificial Intelligence and Healthcare. He aims to leverage AI methods to revolutionize healthcare practices and innovate solutions for better patient care.

Awards 🏆

Dr. Arshad has received prestigious awards and recognition for his contributions to research and academia. Notably, he was awarded a Full Bright Scholarship for his Ph.D. studies and has won Best Paper Awards at international conferences.

Publications 📚

Muhammad Sajjad | Computer Science | Best Researcher Award

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 Dr.  Muhammad Sajjad | Computer Science | Best Researcher Award

Faculty (Visiting), Quaid-I-Azam University Islamabad, Pakistan

Muhammad Sajjad is a Pakistani mathematician specializing in cybersecurity and cryptography. With a Ph.D. from Quaid-i-Azam University, his research focuses on advanced coding and cryptographic schemes, published extensively in renowned journals. He’s received numerous awards, including the International Research Award on Cybersecurity and Cryptography. Sajjad’s expertise extends to teaching and international collaborations, contributing significantly to academia. 🎓 His innovative work bridges theoretical mathematics with practical applications, ensuring data security in the digital age. 🛡️

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ORCID

🎓 Education

Muhammad Sajjad holds a Doctor of Philosophy (Ph.D.) in Mathematics from Quaid-i-Azam University, Islamabad. He also completed his Master of Philosophy (M.Phil.) and Master of Science (M.Sc.) degrees from the same institution.

💼 Experience

He has significant experience in academia, having taught various mathematics courses at Quaid-i-Azam University, National University of Modern Languages, Bahria University, and FG Sir Syed College. He has also been involved in research conferences and international collaborations.

🔍 Research Interests

Sajjad’s research interests span across several areas including Mathematics, Electrical Engineering, Vector Algebra, Non-commutative Algebra, Number Theory, Coding Theory, Channel Coding, and Cryptography.

🏆 Awards

He has received numerous awards and scholarships throughout his academic journey, including the International Research Award on Cybersecurity and Cryptography and being a finalist for PakCrypto by the National Centre for Cyber Security (NCCS).

📚 Publications

Sajjad, M., Shah, T., Haq, T.U., Almutairi, B., & Xin, Q., “SPN based RGB Image Encryption over Gaussian Integers,” Heliyon, vol. 10, 2024. Link (Cited by: 0)

Sajjad, M., & Shah, T., “Decoding of cyclic codes over quaternion integers by modified Berlekamp–Massey algorithm,” Computational and Applied Mathematics, 43(2), 2024. Link (Cited by: 0)

Sajjad, M., Shah, T., Alsaud, H., & Alammari, M., “Designing pair of nonlinear components of a block cipher over quaternion integers,” AIMS Mathematics, vol. 8, 2023. Link (Cited by: 0)

Sajjad, M., Shah, T., Xin, Q., & Almutairi B., “Eisenstein field BCH codes constructions and decoding,” AIMS Mathematics, vol. 8. Link (Cited by: 0)

Sajjad, M., Shah, T., Alammari, M., & Alsaud, H., “Construction and Decoding of BCH-Codes Over the Gaussian Field,” IEEE Access, vol. 11, 2023. Link (Cited by: 0)

Yi Tang | Engineering | Best Researcher Award

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Dr. Yi Tang | Engineering | Best Researcher Award

Lecturer, Yantai University, China

Yi Tang is a Lecturer in the School of Electromechanical and Automotive Engineering at Yantai University, China. With a Doctor of Engineering degree, his expertise lies in Vehicle Engineering, particularly in the sub-division of Antenna Array.

Profile

Scopus

Education 📚

Yi Tang earned his B.S. and M.S. degrees in mechanical engineering from Yantai University, followed by a Ph.D. from the School of Automotive Engineering at Dalian University of Technology.

Experience 🛠️

Yi Tang has been contributing to academia as a Lecturer at Yantai University since May 2024, focusing on research in design optimization within various fields of Vehicle Engineering.

Research Interests 🔬

Yi Tang’s research interests encompass design optimization in MIMO systems, phased arrays, and metamaterials, particularly emphasizing on antenna array technologies.

Awards 🏆

Yi Tang has received the Best Researcher Award for his significant contributions to the field of Vehicle Engineering, particularly in antenna array design optimization.

Publications Top Notes

Non-uniform strip-array decoupling structure of the MIMO antenna-arrays for the DSRC application (2023) – cited 1 time

Gradient-based optimization method for interference suppression of linear arrays by the amplitude-only and phase-only control (2022) – cited 2 times

Pattern synthesis considering mutual coupling for peak sidelobe suppression and null controlling via element rotation and phase optimization (2022) – cited 5 times

Shape optimization method for curved-groove DGS of MIMO antenna-array based on the trigonometric function expansion (2021) – cited 3 times

Optimization method for pattern synthesis of sparse planar arrays considering mutual coupling and nonoverlapping constraint (2020) – cited 10 times