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

Anwesha Sarkar | Public Health |Best Researcher Award |

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Ms. Anwesha Sarkar, Public Health, Best Researcher Award

Ms. anwesha Sarkar at Indian Institute of Technology Patna, India

Anwesha Sarkar is a Ph.D. candidate in the Social Sciences Lab at the Indian Institute of Technology Patna. She holds a Master of Science degree in Geography from the University of Calcutta and a Bachelor of Science degree in Geography from Presidency University, Kolkata. Anwesha’s research interests lie in the intersection of geography, social sciences, and public health, with a focus on understanding the impact of neighborhood environments on women’s health. She has presented her work at various international conferences and workshops and has published papers in reputable journals. Anwesha is also a recipient of prestigious fellowships and grants, including a Ph.D. fellowship from the University Grants Commission (UGC). She is skilled in statistical analysis, GIS techniques, and various data analysis software.

Education:
  • Ph.D. Candidate in Social Sciences Lab, Indian Institute of Technology Patna (July 2021 – Present)
  • Master of Science in Geography, University of Calcutta, Kolkata, India (07/2017 to 08/2019), CGPA 4.41/6.00
  • Bachelor of Science in Geography, Presidency University, Kolkata, India (07/2014 to 06/2017), CGPA 7.51/10.00
  • Senior Secondary Examination, Bhavans Gangabux Kanoria Vidyamandir, Kolkata, India (2014), Percentage 91.75
  • Secondary Examination, Kendriya Vidyalaya No 2, Kolkata, India (2012), CGPA 10.0/10.0 .

Profile:

Research And Publication:

  • Published paper titled “A Comprehensive Trajectory Analyzing the Impact of Neighborhood on Women’s Health” in Health Care for Women International (2024).
  • Presented papers at various international conferences and workshops, including the International Conference on Social and Regional Resilience and the International Conference on Future Earth and Humanities.

Selected Cource And Workshops:

  • Attended workshops and courses on GIS tools and techniques, statistical data analysis using SPSS and R, qualitative techniques in geospatial sciences, and more.

Grant And Fellwship:

  • Awarded a Ph.D. fellowship by the UGC, with Junior Research Fellowship (07/2021 to 07/2023) and Senior Research Fellowship (08/2023 to 07/2026).
  • Qualified for the Junior Research Fellowship (UGC), India, in 2020, and the National Eligibility Test University Grants Commission (UGC), India, in 2019.

Internship:

  • Worked as a Recruitment Officer and Climate Counsellor at the International Centre for Culture & Education, contributing to the Green (R)evolution College Program and Global Certification Program.

Professional Membership:

  • Life member of the Indian Public Health Association (IPHA) since 08/2023.

Skills:

  • Proficient in statistical analysis (quantitative and mixed methods), cartographic techniques (remote sensing and GIS), and various data analysis software such as SPSS, STATA, R Programming, ArcMap, QGIS, Erdas Imagine, AutoCAD Map, and others.

Kalimuthu Marimuthu | Disease Prediction |Best Researcher Award

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Dr.Kalimuthu Marimuthu,  Disease Prediction, Best Researcher Award

 Dr. Kalimuthu Marimuthu at Gitam University, India

Dr. Kalimuthu Marimuthu is a distinguished academician and researcher with over 18 years of experience in the field of information technology. He holds a Ph.D. in Information Technology from Anna University, Chennai, where he was recognized for his highly commendable research. Dr. Marimuthu’s expertise spans various areas including big data analytics, cloud computing, data mining, and soft computing. He has contributed significantly to the academic community through his numerous publications in both national and international journals and conferences. With a strong commitment to excellence in education and research, Dr. Marimuthu continues to inspire and mentor students and professionals in the field of information technology.

Education:

Dr. Kalimuthu Marimuthu is a highly accomplished individual with a strong educational background. He obtained his Ph.D. (Doctor of Philosophy) from Anna University, Chennai, in April 2017, where he was recognized for his highly commendable research. Prior to his Ph.D., he completed his M.Tech. (Master of Technology) in Information Technology at Bharath University, Chennai, in May 2005, achieving a First Class with Distinction with a remarkable score of 8.4 out of 10. Earlier in his academic journey, Dr. Marimuthu earned his MCA (Master of Computer Applications) from Madras University, Chennai, in April 2002, securing a First Class with a notable percentage score of 66. These educational achievements underscore his dedication to academic excellence and his expertise in the field of information technology.

Profile:

Professional Experience:

Dr. Kalimuthu Marimuthu boasts a rich and diverse professional background in the field of information technology. Commencing his career journey as a Lecturer at SNS College of Technology (Autonomous) in Coimbatore in June 2005, he progressively advanced to higher positions, including Senior Lecturer, Assistant Professor, and Associate Professor. Throughout his career, Dr. Marimuthu has held various academic leadership roles, serving as the Academic Coordinator for implementing the Choice Based Credit System (CBCS), NBA Coordinator for the department, and overseeing Board of Studies and Head of Department (HOD) responsibilities. His contributions extend to quality assurance and enhancement initiatives, where he has served as the NAAC Coordinator and IQAC In charge for his college. Furthermore, Dr. Marimuthu actively engages in conducting workshops, seminars, and faculty development programs, demonstrating his commitment to the continuous professional development of his peers. With a prolific publication record in both national and international journals, Dr. Marimuthu’s research interests encompass a broad spectrum of topics, ranging from multi-class facial emotion recognition to gastric cancer classification and intelligent vision camera systems. Presently, as an Associate Professor at GITAM University, Bengaluru, Dr. Marimuthu continues to inspire students and fellow academics alike through his exemplary teaching, groundbreaking research, and effective administrative leadership.

Research interests:

Dr. Kalimuthu Marimuthu’s research interests encompass a broad spectrum of topics within the field of information technology. His focus areas include multi-class facial emotion recognition and gastric cancer classification using innovative approaches such as hybrid deep learning models. Additionally, Dr. Marimuthu is deeply engaged in the development of intelligent vision camera systems and their integration into smartphone architectures. Furthermore, he has a keen interest in big data analytics, cloud computing, operating systems, data mining, and soft computing, exploring these domains to uncover novel insights and solutions. Through his diverse research interests, Dr. Marimuthu demonstrates a commitment to advancing knowledge and technology in the ever-evolving landscape of information technology.

Publications:
  1. Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
    • Authors: A. Mogadala, M. Kalimuthu, D. Klakow
    • Journal: Journal of Artificial Intelligence Research (JAIR)
    • Citations: 126
    • Year: 2021
  2. Fusion models for improved image captioning
    • Authors: M. Kalimuthu, A. Mogadala, M. Mosbach, D. Klakow
    • Conference: International Conference on Pattern Recognition (ICPR)
    • Citations: 17
    • Year: 2021
  3. Automatic conversion of dialectal Tamil text to standard written Tamil text using FSTs
    • Authors: K. Marimuthu, SL Devi
    • Conference: Proceedings of the 2014 Joint Meeting of SIGMORPHON and SIGFSM
    • Citations: 8
    • Year: 2014
  4. A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
    • Authors: M. Kalimuthu, F. Nunnari, D. Sonntag
    • Conference: ImageCLEF-2020
    • Citations: 7
    • Year: 2020
  5. Incremental domain adaptation for neural machine translation in low-resource settings
    • Authors: M. Kalimuthu, M. Barz, D. Sonntag
    • Conference: Association for Computational Linguistics (ACL)
    • Citations: 6
    • Year: 2019
  6. Named entity recognizer for Indian languages
    • Authors: SL Devi, CS Malarkodi, K. Marimuthu, C Chrompet
    • Conference: International Conference on Natural Language Processing (ICON)
    • Citations: 6
    • Year: 2013
  7. How human analyse lexical indicators of sentiments-a cognitive analysis using reaction-time
    • Authors: K. Marimuthu, SL Devi
    • Conference: Proceedings of the 2nd workshop on sentiment analysis where AI …
    • Citations: 4
    • Year: 2012
  8. Word boundary identifier as a catalyzer and performance booster for Tamil morphological analyzer
    • Authors: K. Marimuthu, K. Amudha, T. Bakiyavathi, SL Devi
    • Conference: Proceedings of 6th Language and Technology Conference, Human …
    • Citations: 2
    • Year: 2013
  9. Named entity recognizer for Indian languages (ICON NLP tool contest 2013)
    • Authors: SL Devi, CS Malarkodi, K. Marimuthu, C Chrompet
    • Conference: 10th International Conference on Natural Language Processing (ICON)
    • Citations: 1
    • Year: 2013

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