Iddrisu Salifu | Artificial Intelligence | Best Researcher Award

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Mr. Iddrisu Salifu, Artificial Intelligence, Best Researcher Award

 Iddrisu Salifu at University of Cape Coast, Ghana

Mr. Iddrisu Salifu is a multidisciplinary researcher with a keen focus on coastal zone management, cardiometabolic epidemiology, and economic development. He holds a Master of Philosophy in Integrated Coastal Zone Management and another in Economics, reflecting his diverse academic background. Currently serving as a Research Scientist at the Cardiometabolic Epidemiology Research Laboratory (CERL), University of Cape Coast, Mr. Salifu actively contributes to investigating epidemiological aspects of cardiometabolic diseases while overseeing data collection, analysis, and manuscript preparation efforts. Additionally, he serves as a Tutor at the Institute of Education Sandwich Programme, where he teaches undergraduate economics courses. With a wealth of experience in field research, Mr. Salifu has collaborated on various projects focusing on coastal resilience, fisheries management, and economic development, demonstrating his commitment to addressing pressing societal issues. His dedication to research and his interdisciplinary approach underscores his efforts to advance knowledge and contribute to sustainable development initiatives.

Education:

  • Master of Philosophy (MPhil) in Integrated Coastal Zone Management, Africa Centre of Excellence in Coastal Resilience (ACECoR), University of Cape Coast, 2020-2022.
  • Master of Philosophy (MPhil) in Economics, University of Cape Coast, Ghana, 2017-2019.
  • Bachelor of Arts (BA) in Economics and Geography, University of Cape Coast, 2011-2015.

Profile:

 

Work Experience:

  • Research Scientist: Cardiometabolic Epidemiology Research Laboratory (CERL), Department of Health, Physical Education and Recreation (HPER), University of Cape Coast, July 2023-Present.
  • Tutor: Institute of Education Sandwich Programme, University of Cape Coast, August 2022-Present.
  • Assistant Secretary: African Science Frontiers Initiative (ASFI) Ambassadors, June 2022-Present.
  • Graduate Research Fellow: Chamber for Tourism Industry Ghana (CTI Ghana), August 2020-Present.
  • Field Research Assistant in various projects.

Skills & Competencies:

  • Technical Skills: STATA, R, SPSS, SQL, Excel, Microsoft Word, PowerPoint, Jamovi, JASP.
  • Transferable Skills: Project Management, Teamwork, Leadership, Strategic Thinking, Research Skills, Time Management, Communication, Problem-Solving, Analytical, Innovative, and Creative Mindset.

Honours & Awards:

  • World Bank’s Africa Centre of Excellence Scholarship, December 2020-Present.
  • Sustainable Ocean Alliance (SOA) Microgrant Winner, 2021.
  • CDO’s Power to the Fisher’s Project Microgrant Winner, 2021.

Professional Experience:

Mr. Iddrisu Salifu has accumulated diverse professional experiences across research, academia, and project management. Currently, he serves as a Research Scientist at the Cardiometabolic Epidemiology Research Laboratory (CERL) within the Department of Health, Physical Education, and Recreation (HPER) at the University of Cape Coast. In this role, he plays a pivotal role in devising strategies and plans to investigate epidemiological aspects of cardiometabolic diseases. His responsibilities include overseeing data collection, analysis, and manuscript preparation efforts, as well as supporting research funding efforts by writing grant proposals to secure resources for research projects.

In addition to his research role, Mr. Salifu also contributes to academia as a Tutor at the Institute of Education Sandwich Programme, University of Cape Coast. Here, he teaches various courses in economics at the undergraduate level, leveraging his academic background and expertise to educate and mentor students.

Furthermore, Mr. Salifu has served as an Assistant Secretary for the African Science Frontiers Initiative (ASFI) Ambassadors, where he plays a crucial role in fostering excellence in Africa’s science through competence acquisition, capacity building, and career development initiatives. Additionally, he serves as a Graduate Research Fellow at the Chamber for Tourism Industry Ghana (CTI Ghana), where he is involved in deciding on research programs and methodologies in collaboration with colleagues.

With his extensive experience as a Field Research Assistant on various projects related to agriculture, economics, and education, Mr. Salifu has demonstrated his ability to organize, supervise, and assist in data collection efforts, contributing valuable insights to research initiatives.

Research Interests:

Mr. Iddrisu Salifu’s research interests lie at the intersection of various disciplines, primarily focusing on coastal zone management, cardiometabolic epidemiology, and economic development. He is particularly interested in exploring strategies for enhancing the resilience of coastal communities to environmental hazards and climate change impacts. Additionally, his research delves into the epidemiological aspects of cardiometabolic diseases, aiming to understand their prevalence, risk factors, and public health implications. Furthermore, Mr. Salifu is passionate about examining economic development policies and their effects on sustainable tourism, fisheries management, and environmental conservation. Through his work, he aims to contribute to evidence-based decision-making processes and foster socio-economic development that is both inclusive and environmentally sustainable.

publications:

Title: Monetary policy and macroeconomic indicators: A review of a developing country’s perspectives 2002–2017

  • Authors: SAE Mbilla, PA Atindaana, SG Gadzo, A Adeniyi, I Salifu
  • Journal: Cogent Economics & Finance
  • Volume: 9
  • Issue: 1
  • Pages: 1935530
  • Year: 2021

Title: Partner alcohol consumption and intimate partner violence against women in sexual unions in sub-Saharan Africa

  • Authors: RG Aboagye, BO Ahinkorah, CL Tengan, I Salifu, HY Acheampong
  • Journal: PLoS one
  • Volume: 17
  • Issue: 12
  • Pages: e0278196
  • Year: 2022

Title: Digital paradigm shift: Unraveling students’ intentions to embrace Tablet-based Learning through an extended UTAUT2 model

  • Authors: F Arthur, V Arkorful, I Salifu, S Abam Nortey
  • Journal: Cogent Social Sciences
  • Volume: 9
  • Issue: 2
  • Pages: 2277340
  • Year: 2023

Title: Effect of household water treatment on under-five diarrhoea in Ghana

  • Author: I Salifu
  • Institution: University of Cape Coast
  • Year: 2020

Title: Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach

  • Authors: I Salifu, F Arthur, V Arkorful, S Abam Nortey, R Solomon Osei-Yaw
  • Journal: Cogent Social Sciences
  • Volume: 10
  • Issue: 1
  • Pages: 2300177
  • Year: 2024

Title: Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach

  • Authors: RSOY Iddrisu Salifu, Francis Arthur, Valentina Arkorful, Sharon Abam Nortey
  • Journal: Cogent Social Sciences
  • Volume: 10
  • Issue: 1
  • Pages: 28
  • Year: Undisclosed

Yazan Abu Huson | AI and Blockchain | Best Researcher Award

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Yazan Abu Huson | AI and Blockchain | Best Researcher Award

Mr Yazan Abu Huson University of Valencia, Spain

He is Yazan Abdelamjid Ahmad Abu Huson, a 28-year-old PhD student specializing in the Department of Accounting and Corporate Finance at the University of Valencia in Spain. With a master’s and bachelor’s degree in accounting, he is deeply immersed in the world of finance and academia. Beyond his academic pursuits, Yazan has been recognized for his exceptional talents and contributions. In 2019, he was honored with the Excellence Award for being the Most Influential Youth in the Hashemite Kingdom of Jordan. Additionally, he achieved the first rank in Jordan during the Jordanian Youth Voice Debate in 2018 and received the Honor Shield for Best Debater in the Debate Championship at Yarmouk University’s Faculty of Economics and Administrative Sciences in 2017. Yazan is also a certified Trainer of Trainers (TOT), HR professional, and Debate Trainer for the Arabius Academy for Consulting and Training. Currently, he serves as the Head of the Training and Development Department at the Esterdad Center for Civil Society Development, where he continues to make significant contributions to the development and growth of individuals and organizations.

Education:

He obtained his Master’s degree in Accounting from Al al-Bayt University, Jordan, where he excelled with a final grade of 85.5. His thesis focused on “The Expected Effect of Applying the National Billing System in Reducing Tax Evasion from the Perspective of the Auditors of the Income and Sales Tax Department in Jordan.” Prior to this, he completed his Bachelor’s degree in Accounting at Yarmouk University, Jordan, achieving a final grade of 80.9. In addition to his academic achievements, he participated in the National Young Leaders Program facilitated by Friedrich Ebert Stiftung in 2019. Furthermore, he enriched his knowledge with a course in Political Science offered by The Knowledge Stations for Consultation and Training in Amman, Jordan, in 2020. Throughout his academic and professional journey, he has demonstrated a commitment to excellence and a passion for continuous learning and development.

Profile:

Experience:

In Irbid, Jordan, since 2018, he has served as an Accounting Supervisor at the Esterdad Center for Civil Society Development, overseeing financial operations with meticulous attention to detail. Simultaneously, he has held the position of Public Accountant, ensuring compliance and accuracy in financial reporting. Located on University Street, 21110, Irbid, Jordan, he has contributed to the efficient functioning of the Education Department within the center. Additionally, since 2018, he has been actively engaged as an H.R.M, Trainer of Trainers (TOT), and Debate Trainer at Arapus for Business Consulting and Training in Irbid, Jordan. In this capacity, he imparts his expertise in human resource management, trains future trainers, and hones debating skills, further solidifying his reputation as a multifaceted professional dedicated to organizational development and individual growth.

Publications:

  1. The effects of COVID-19 on conditional accounting conservatism in developing countries: evidence from Jordan‏ Cited By : 8, Published By : 2022
  2. A bibliometric review of information technology, artificial intelligence, and blockchain on auditing Cited By : 4, Published By : 2023
  3. EMPIRICAL INVESTIGATION INTO THE INTEGRATION OF CLOUD-BASED ARTIFICIAL INTELLIGENCE IN AUDITING‏ Published By : 2024
  4. Connecting legal compliance and financial integrity: A bibliometric survey of accounting practices in the corporate supply chain‏ Published By : 2024
  5. A bibliometric review of job satisfaction and organizational commitment in businesses area literatures‏

 

Jin Zhang | Big Data and Research Methods

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Prof Dr. Jin Zhang : Leading Researcher in Big Data and Research Methods

University of Wisconsin-Milwaukee, United States.

Congratulations, Prof Dr. Jin Zhang, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Scopus

Education:
  • University of Pittsburgh, School of Information Sciences  Ph.D.
  • Wuhan University, Department of Information Science M.S.
  • Wuhan University, Department of Information Science B.S.
Employment and Working Experience:
  • University of Wisconsin-Milwaukee, School of Information Studies Professor, 2010-
  • University of Wisconsin-Milwaukee, School of Information Studies Associate Professor, 2004-2010
Honors and Awards:
  • ASIS&T Distinguished Member (2021)
  •  Outstanding Paper Award The Utah Academy of Sciences, Arts & Letters  (2015)
  • Emerald Outstanding Reviewer Award (2013)
Computer Experience:
  • Programming languages: SQL, Visual Basic, SPSS, Visual C++ (MFC) and Java.
Professional Societies:
  • American Society for Information Science and technology- 1999 ACM member
  • The ASIS&T Awards & Honors Committee, 2001
  • The ASIST Research Award Committee, 2002
  • ASIST Wisconsin Chapter treasure, 2000-2003
  • ASIST Wisconsin Chapter Chair, 2004-2005
Publications:

Journal papers:

  • Zhao, Y.M., Wu, M. R., and Zhang, J. (2023). Identifying the Driving Factors of Word Co-occurrence: A Perspective of Semantic Relations. Scientometrics, 128, pp. 6471–6494.
  • Zhang, J. and Chen, J.Y. (202X). Investigation of Library Job Demands and Requirements through the Lens of the Job Market.  The Journal of Library Administration, XX(X), XX-XX. Accepted.
  • Zhang, J. and Chen, J.Y. (202X). Skill Analysis of Library and Information Science Professionals. The Journal of Librarianship & Information Science, XX(X), XX-XX. Accepted.
  • Zhang, J., Le, T.W., and Chen, J.Y. (2023). Investigation of Essential Skills for Data Analysts: An Analysis Based on LinkedIn. The Journal of Global Information Management, 31(1), 1-21.
  • Zhu, Y.F.  and Zhang, J. (20XX). An optimization analysis of the subject directory system on the MedlinePlus portal – an investigation of children related health topics. Knowledge Organization, X(X), pp XX-XX. Accepted.
  • Wang, Y.Y. and Zhang, J. (2023). A Study on User-Oriented Subjects of Child Abuse on Wikipedia: A Temporal Analysis of Wikipedia History Versions and Traffic Data”, Journal of Medical Internet Research, 25, e43901.
  • Zhang, J., Wolfram, D., and Ma, F.C. (2023). The Impact of Big Data on Research Methods in Information Science.  Data and Information Management, 7(2), pp. 100038.
  • Chen, Y., Lin, H., Zhang, J., and Zhao, Y. (XXXX). Online Health Information Consumers’ Learning across Health-Related Search Tasks from the Perspective of Retrieval Platform Switching. Journal of Information Science, Accepted.
  • Zhao, Y. & Zhang, J. (2023). Social Networks and Analytics. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 2528-2538). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch152.
  • Zhao, Y.M., Wu, L.R., Zhang, J., Le, T.W. (2021). How Questions’ Characteristics Affect Their Answer Outcome in Social Question and Answer Websites. The Journal of Global Information Management, 29(6), pp 1-21.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, 12796, 298-316.

Selected conference papers:

  • Wang, Y.Y, and Zhang, J. (2024) A Study on Health Consumers’ Emotional Responses to Asthma-Related Videos on YouTube, iConference 2024 – Wisdom, Well-being, Win-win Virtual Academic Program: 15-18 April, 2024. Onsite Academic Program in Changchun, China: 22-26 April, 2024.
  • Bozkurt, S., Hong, Y., Goddard, M., Kahn, E. C., and Zhang, J. (2024). Advancing Patient-Centered Radiology Reporting Through AI: Best practices for Utilizing Natural Language Processing with Patient Friendly Terminologies, ISKO 2024 Conference,  March 20-22, 2024, Wuhan, China.
  • Omwando B., and Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform, HCI International 2021, Lecture Notes in Computer Science, volume 35, 12796.
  • Zhao, Y., Chen, Y., Zhang, J., Dong, Q., Cao, G., & Zhang, Z. (2019). How did people feel during the Zika virus breakout? A sentiment analysis of Zika virus related posts on Yahoo! Answers. Proceedings of the Association for Information Science and Technology, 56(1), 849–851.

Books / Book Chapters:

  • Zhang, J. (2009). Chapter “The challenges, opportunities, and futures of information retrieval visualization”, in the book Information Resources Plan and Knowledge Science Advances, (pp. 219-240).  Wuhan University Press.
  • Zhang, J. (2008). Visualization for Information Retrieval, Springer.
  • Zhang, J. (2005). Chapter “Information Retrieval for Visualization” in the book Knowledge Technique and Application,  Science and Technology Documentation Publisher, pp. 431-460.

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Big Data and Research Methods.

Award Manager,
Cybersecurity Awards,
International Research Awards on Cybersecurity and Cryptography,
cybersecurity@researchw.com

 

 

Xin Qian | Medical image application

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Mr. Xin Qian : Leading Researcher in Medical image application.

Chongqing University of Science and Technology, China.

Congratulations, Mr. Xin Qian, on winning the esteemed Excellence in Medical image application  Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Orcid

Education:
  • Jinggangshan University Network Engineering (Bachelor of Engineering)
  • Chongqing University of Science and Technology Safety Engineering (Artificial Intelligence) (Master of Engineering)
Internship Experience
  • 2020-04 ~ 2020-07 Hunan Zhongke Information Technology Research Institute Research assistant
  • 2021-09 ~ 2022-06 Chongqing University of Science and Technology Postgraduate research assistant
  • 2022-09 ~ 2023-09 Graphics, Image and Data Analysis Research Laboratory, Chongqing University of Science and Technology Deep Learning Lead for Horizontal Projects
Personal Achievements
  • At present, he has published 4 journal papers
  • 1 SCI paper in the first district (one student + corresponding author)
  • 3 Chinese papers (1 first author +2 top three)
  • 6 SCI papers in review: among them
  • 1 student + corresponding author is reviewing 2 SCI papers (Region III)
  • 1 SCI paper is reviewing SCI papers as the first author (Region III)
  • 3 SCI papers are participating in the review (Region III)
  • Representative SCI papers (4 papers in total, supervisor: Professor Han Qi, Professor Zhang Ao, Professor Feng Liping, * as corresponding author)
  • And 4 invention patents and 1 software copyright

Publications:

  1.  Qi Han, Xin Qian∗, Hongxiang Xua, Kepeng Wu, Lun Menga, Zicheng Qiu, Tengfei Weng. DM-CNN: Dynamic Multi-scale Convolutional Neural Networks with Uncertainty Quantification for Medical Image Classification [J]. Computers in Biology and Medicine, 2023；(SCI- Accepted， IF：7.7； JCR Q1)
  2.  Xin Qian, Tengfei Weng*, Chen Wu, HongXiang Xu, Yuan Tian, Mingyang Hou,T Zicheng Qiu,. SPCB-Net: A multi-scale skin cancer image identification network using self-interactive attention pyramid and cross-layer bilinear-trilinear pooling [J]. IEEE ACCESS, 2023；(SCI- Under review，IF：3.9； JCR Q1)
  3.  Liping Feng, Xin Qian∗, Ziyi Pei, Tengfei Weng, Qi Han, Zicheng Qiu, Yuan Tian, Guanzhong Liang, Guoyan Meng and Yaojun Hao. A Multi-View Ensemble-Based Weakly Supervised Model for Skin Lesion Images Diagnosis in Dermoscopic Images [J]. Electronics,2023.(SCI- Under review，IF：2.9； JCR Q2)
  4.  Ao Zhang, Xin Qian∗, Chengcheng Xu, Jie Zhang. A Novel Artificial-Intelligence-Based Approach for Automatic Assessment of Retinal Disease Images using Multi-view Deep-Broad Learning Network[J]. IEEE ACCESS, 2023.(SCI- Under review， JCR Q1)

Invention patents :

  1. Medical image classification method based on feature fusion and attention mechanism; Han Qi, Qian Xin, WENG Tengfei, XU Hongxiang et al. (Acceptance and disclosure)
  2. Detection method of UAV high-altitude shooting image based on dynamic convolutional neural network; Tian Yuan, AO Zhenyu, Qian Xin, Fu Wenlong et al. (Acceptance and disclosure)
  3. Small target detection method of tiny lymph node image based on attention mechanism; Han Qi, XU Hongxiang, Qian Xin, PEI Yangjun et al. (Acceptance and disclosure) 4）
  4. Steel defect image segmentation method based on introducing frequency domain deep learning network; Tian Yuan, FU Wenlong, WU Kepeng, Qian Xin et al. (Acceptance and disclosure)

Software copyright:

  1.  Kangaroo shelf shopping software v1.0, Qian Xin. Registration number: 2020SR078073

 

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Medical image application and computer aided medical diagnosis.

Warm Regards,
Award Manager,
Cybersecurity Awards,
International Research Awards on Cybersecurity and Cryptography,
cybersecurity@researchw.com