Sonia Agbonjaru | Emerging Trends and Future Directions | Research Excellence Award

Dr. Sonia Agbonjaru | Emerging Trends and Future Directions | Research Excellence Award

Lecturer | Covenant University | Nigeria

Sonia Agbonjaru is a Lecturer in Economics and Development Studies at Covenant University, Nigeria, with expertise in international economics, energy economics, monetary economics, financial integration, and gender equality. She holds a PhD in International Economics and Finance and has published peer-reviewed research on green hydrogen energy, investment dynamics, exports, and poverty reduction, with multiple journal articles and growing citations. Her work involves international collaborations across West Africa and policy-oriented research with SBM Intelligence, notably influencing discourse on informal-sector taxation in Nigeria. Through teaching, student supervision, and policy research, her work contributes to evidence-based economic development and sustainable energy transitions in emerging economies.

Citation Metrics (Scopus)

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Featured Publications


Interest rate regimes and private investment in Nigeria .

– International Journal of Management and Applied Science (2018). Cited By : 2

Non-oil exports and poverty reduction in Nigeria.

-Economic and Social Science Review (ESR). (2022).

Manufactured exports and economic development in Nigeria.

– Economic and Social Science Review (ESR). (2022).

Ewert Bengtsson | Quantitative Microscopy | Best Researcher Award

Prof. Ewert Bengtsson | Quantitative Microscopy | Best Researcher Award

Professor Emeritus | Uppsala University | Sweden

Prof. Ewert Bengtsson is a distinguished researcher in computerized image analysis and medical imaging, with current work on AI-based diagnostic tools for cancer detection. He earned his PhD in Physics from Uppsala University, where he developed pioneering methods for computer-aided analysis of microscopic images applied to early cancer screening. His professional experience spans research leadership, including Director of the Centre for Image Analysis, Vice Rector for IT at Uppsala University, and project leadership in both academic and industry settings. He has contributed to numerous international collaborations and led projects in medical imaging and IT-driven healthcare solutions. His research interests include AI-based medical diagnostics, computer vision, image processing, and automated cancer detection systems. He has a strong record of mentorship, guiding over 40 doctoral students, and has contributed to global research communities through program committees, editorial boards, and invited talks. His work has been recognized with fellowships, academy memberships, and distinguished awards for contributions to science, engineering, and medical imaging. He possesses advanced research skills in medical image analysis, AI, machine learning, microscopy, and software development for diagnostic tools. 3,627 citations by 2,993 documents, 137 documents, 31 h-index, view h-index button is disabled in preview mode, further highlight his global impact and recognition.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Wählby, C., Sintorn, I. M., Erlandsson, F., Borgefors, G., & Bengtsson, E. (2004). Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. Journal of Microscopy, 215(1), 67–76.

  2. Rodenacker, K., & Bengtsson, E. (2003). A feature set for cytometry on digitized microscopic images. Analytical Cellular Pathology, 25(1), 1–36.

  3. Bengtsson, E., & Malm, P. (2014). Screening for cervical cancer using automated analysis of PAP‐smears. Computational and Mathematical Methods in Medicine, 2014, 842037.

  4. Wählby, C., Lindblad, J., Vondrus, M., Bengtsson, E., & Björkesten, L. (2002). Algorithms for cytoplasm segmentation of fluorescence labelled cells. Analytical Cellular Pathology: The Journal of the European Society for Analytical Cellular Pathology.

  5. Stenkvist, B., Bengtsson, E., Eriksson, O., Holmquist, J., Nordin, B., & others. (1979). Cardiac glycosides and breast cancer. The Lancet, 313(8115), 563.

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Nanjing University of Information Science and Technology, China

👨‍🎓 Profiles

Scopus

Publications

Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; J. Li, Jiale; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: ACS Sensors
    Year: 2025

Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water

  • Authors: Y. Huang, Yiru; S. Li, Shenyue; W. Hu, Wenguang; Q. Li, Qingfang; L. Zhang, Lei
    Journal: ACS Applied Materials and Interfaces
    Year: 2024

Data-driven exploration of terbium-doped tungsten oxide for Ultra-Precise detection of 3H-2B: Implications for gas sensor applications

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; L. Zhang, Lei; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: Chemical Engineering Journal
    Year: 2024

Ionic liquid-assisted preparation of Ag–Zn–In–S quaternary quantum dot thin films and luminescence performance optimized by machine learning

  • Authors: S. Wei, Song; X. Luo, Xiang; S. Shao, Shaofeng; L. Zhang, Lei
    Journal: Dyes and Pigments
    Year: 2024

Dr. Wen Zhang | Batteries deep learning | Best Researcher Award

Dr. Wen Zhang | Batteries deep learning | Best Researcher Award

Doctorate at Yeungnam University | South Korea

Professional Profile

Google Scholar

🎓 Educational Background

Wen Zhang (张雯) has pursued a diverse and enriching academic journey, demonstrating her passion for design and engineering. She earned her Bachelor’s degree in Industrial Design from Chengdu Neusoft University in China, graduating in June 2021 with a GPA of 2.73/4.0. Following this, Wen advanced her studies in Mechanical Engineering at Yeungnam University, South Korea, where she completed her Master’s degree in August 2024 with an impressive GPA of 4.05/4.5. She is now delving deeper into her field by pursuing a Doctoral degree in Mechanical Engineering at the same university, starting in September 2024.

💻 Skills and Expertise

Wen Zhang possesses a robust set of skills and expertise that align perfectly with her academic and professional pursuits.

🌐 Language Proficiency

As a native Mandarin speaker, Wen excels in communication in her mother tongue. Additionally, she has demonstrated fluency in English, underscored by her impressive TOEFL score of 92, which highlights her strong linguistic and cross-cultural communication abilities.

🛠️ Software Proficiency

Wen has mastered a wide array of software tools critical for design and engineering. Her expertise includes CAD (Computer-Aided Design) for technical and industrial design applications, Photoshop (PS) and Illustrator (AI) for advanced graphic design, CorelDRAW (CDR) for vector illustration, and After Effects (AE) for motion graphics and video editing. She is also skilled in Python programming, showcasing her versatility in computational tasks and problem-solving.

Publications Top Noted📝

Emerging two-dimensional (2D) MXene-based nanostructured materials: Synthesis strategies, properties, and applications as efficient pseudo-supercapacitors

Authors: Rui Wang, Won Young Jang, Wen Zhang, Ch Venkata Reddy, Raghava Reddy Kakarla, Changping Li, Vijai Kumar Gupta, Jaesool Shim, Tejraj M Aminabhavi

Journal: Chemical Engineering Journal

Year: 2023

Lithium-Ion Battery Life Prediction Using Deep Transfer Learning

Authors: Wen Zhang, RSB Pranav, Rui Wang, Cheonghwan Lee, Jie Zeng, Migyung Cho, Jaesool Shim

Journal: Batteries

Year: 2024

Assoc Prof Dr. Chor-Kheng Lim | Human-Computer Interaction | Best Researcher Award

Publications

Research on Indoor Spatial Behavior Perception IoT Smart System for Solitary Elderly at Home

  • Authors: Chor-Kheng Lim
  • Journal: Designs
  • Year: 2022

A framework of CAD/CAM design and construction process for freeform architecture: a case study

  • Authors: Chor-Kheng Lim
  • Journal: International Journal of Architectural Computing
  • Year: 2010

New tectonics: a preliminary framework involving classic and digital thinking

  • Authors: Yu-Tung Liu, Chor-Kheng Lim
  • Journal: Design studies
  • Year: 2006

Comparisons of practice progress of digital design and fabrication in free-form architecture

  • Authors: Zi-Ru Chen, Chor-Kheng Lim, Wei-Yen Shao
  • Journal: Journal of industrial and production engineering
  • Year: 2015

From concept to realization

  • Authors: Chor-Kheng Lim
  • Journal: Proceedings of Association for Computer Aided Design in Architecture
  • Year: 2006

Ms. Bdour Hamad Alwugaysi | Human-Computer Interaction | Best Researcher Award

Ms. Bdour Hamad Alwugaysi | Human-Computer Interaction | Best Researcher Award

Bdour Hamad Alwugaysi at King’s College London, United Kingdom

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

Dr. Dang Anh Tuan | Human-Computer Interaction | Best Researcher Award

Dr. Dang Anh Tuan | Human-Computer Interaction | Best Researcher Award

Doctorate at University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam

👨‍🎓 Profiles

Orcid

Google Scholar

Publications

Real earnings management trends in the context of the COVID-19 pandemic: The case of non-financial listed companies in Vietnam

  • Authors: Dang Anh Tuan, Nguyen Ngoc Khanh Dung, Bui Thi Thu Thao
  • Year: 2023

Model for Forecasting Tax Compliance Behaviors for Small and Medium Enterprises Owners Based on Owning Tax Knowledge

  • Authors: Nguyen Ngoc Khanh Dung, Dang Anh Tuan, Bui Thi Thu Thao
  • Journal: Journal of Law and Sustainable Development
  • Year: 2023

Financial distress prediction of listed companies–empirical evidence on the Vietnamese stock market

  • Authors: Tran Quoc Thinh, Dang Anh Tuan, Nguyen Thanh Huy, Tran Ngoc Anh Thu
  • Journal: Innovations
  • Year: 2021

Development of Audit Risk Model Applied in Public Investment Project Audit: The State Audit in Vietnam

  • Authors: Dang Anh Tuan, Nguyen Ngoc Khanh Dung.
  • Journal: Social Space
  • Year: 2023

TESTING THE INFLuENCE OF FACTORS ON THE TIMELINESS OF FINANCIAL REPORTING–EMPIRICAL EVIDENCE OF VIETNAMESE LISTED ENTERPRISES

  • Authors: Tran Quoc Thinh, Dang Anh Tuan, Luu Chi Danh
  • Journal: Innovations
  • Year: 2022

Mr. Bamidele Omotara | Pharmaceutical | Research Impact Award

Mr. Bamidele Omotara | Pharmaceutical | Research Impact Award

Bamidele Omotara at University of New Haven, United States

👨‍🎓 Profiles

Scopus

Google Scholar

🎓 Early Academic Pursuits

Mr. Bamidele Omotara embarked on an academic journey that laid a strong foundation in chemistry. He earned a Bachelor of Science in Chemistry from Ekiti State University in Nigeria, where he developed a deep understanding of chemical principles. This was further enhanced by a Master of Science in Chemistry from the University of New Haven, equipping him with advanced knowledge and practical skills.

💼 Professional Endeavors

Mr. Bamidele has amassed four years of hands-on experience in quality control within the food and pharmaceutical industries. His role as a Quality Control Analyst at Peace Standard Pharmaceutical Industries allowed him to ensure the safety and efficacy of products through rigorous testing and compliance with regulatory standards. He has also volunteered as a Computational Chemist at Bytewave Technologies, where he applies simulations to drug design, showcasing his versatility and commitment to the field.

🔬 Contributions and Research Focus

In his voluntary position, Bamidele focuses on computational drug design, employing molecular dynamics and docking techniques to explore the interactions of small molecules with proteins. His contributions aim to pave the way for innovative therapies, emphasizing his dedication to scientific research and advancement.

🌍 Impact and Influence

Through his extensive experience in quality control, Bamidele has significantly influenced the adherence to good manufacturing practices (GMP) and regulatory compliance in the pharmaceutical sector. His efforts in managing quality systems have helped ensure safe products for consumers, highlighting his commitment to public health and safety.

📚 Academic Citations

Mr. Bamidele’s academic achievements are supported by his proficiency in laboratory instrumentation and analytical techniques, including Gas Chromatography (GC), High-Performance Liquid Chromatography (HPLC), and UV-VIS Spectrometry. His knowledge of cGMP and FDA guidelines is essential for maintaining the highest quality standards in pharmaceutical manufacturing.

🛠️ Technical Skills

  • Analytical Instrumentation: Skilled in using GC, HPLC, and UV-VIS Spectrophotometry.
  • Data Management: Familiar with Laboratory Information Management Systems (LIMS) and Microsoft Office.
  • Regulatory Compliance: Strong knowledge of cGMP, FDA guidelines, and quality assurance processes.

📖 Teaching Experience

While Mr. Bamidele has primarily focused on professional roles, his experience mentoring production personnel in quality control procedures highlights his ability to communicate complex scientific concepts effectively. This skill not only aids in team development but also fosters a culture of quality and safety in the workplace.

🌱 Legacy and Future Contributions

Mr. Bamidele aims to leave a lasting legacy in the field of chemistry by continuing to push the boundaries of pharmaceutical research and quality control. His commitment to innovation and public health will drive his future contributions, as he seeks to develop safer and more effective therapeutic solutions.

 

Publications

Computational-based drug design of novel small molecules targeting p53-MDMX interaction

  • Authors: Abel Ujaigbe Egbemhenghe, Olajide Enoch Aderemi, Bamidele Samson Omotara, Faith Iyayi Akhimien, Faith Osaretin Osabuohien, Habeebulah Ajibola Adedapo, Oluwakemi Rita Temionu, Winner Amaka Egejuru, Chinedum Favour Ajala, Meejay Francis Ihunanya, Oluwatosin Oluwafunmilola Oluwafemi, Chinyere Felicia Duncan Onu, Abosede Christiana Ajibare, Christopher Ddamulira, Justin Onyekachukwu Abalum, Olanrewaju Michael Afolayan
  • Journal: Journal of Biomolecular Structure and Dynamics
  • Year: 2024

Identification of promising small-molecule inhibitors targeting STK17B for cancer therapeutics: molecular docking and molecular dynamics investigations

  • Authors: Modinat Wuraola Akinboade, Abel Ujaigbe Egbemhenghe, Teslim Oluwaseyi Abdulkareem, Ismail Abiola Ibrahim, Bamidele Samson Omotara, Olajide Enoch Aderemi, Winner Amaka Egejuru, Chinedum Favour Ajala, Ihunanya Meejay Kanu, Oluwatosin Oluwafunmilola Oluwafemi, Christiana Oluwaseun Aderemi, Christopher Ddamulira, Akinwumi Raphael Afuape, Adedayo Toluwanimi Adekola, Toluwalase Ojeyemi, Osasenaga Israel Otuomagie
  • Journal: Journal of Biomolecular Structure and Dynamics
  • Year: 2023

Identification of novel immuno-oncology compounds as VISTA-inhibitors for cancer therapy: A computational approach integrating virtual screening and molecular dynamics simulation

  • Authors: Winner Amaka Egejuru, Olajide Enoch Aderemi, Abel Ujaigbe Egbemhenghe, Muhammad Qasim Ali, Dolapo Emmanuel Opasina, Cyril Obaro Agadagba, Emmanuel Parkay Oladokun, Ibrahim Tope Abdulrazaq, Maryam Folake Ayinla, Abiodun Bamidele, Olamide Oluwagbeminiyi Alayemi, Latifat Akorede Adebowale, Folakemi Monsurat Adebayo, Bamidele Samson Omotara
  • Journal: Informatics in Medicine Unlocked
  • Year: 2024

Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

Jong-Chen Chen at National Yunlin University of Science and Technology, Taiwan

Profiles

Scopus

Orcid

Summary

Prof. Dr. Jong-Chen Chen is a prominent researcher and Full Professor in the Department of Information Management at National Yunlin University of Science and Technology, Taiwan, with a focus on innovative applications of neuromolecular models in robotics and computation.

Education

  • M.S. in Computer Science and Electrical Engineering
    University of Texas at Arlington (1986)
  • Ph.D. in Computer Science
    Wayne State University (1993)

💼 Professional Experience

Full Professor
Department of Information Management, National Yunlin University of Science and Technology (2000 – Present)

🔬 Research Interests

  • Evolvable Hardware
  • Brain-like Computer Simulation
  • Ecosystem Simulation
  • Bio-computing & Artificial Life
  • Molecular Electronics
  • Evolutionary Computation & Genetic Programming
  • Pattern Recognition

 

Publications

Application of Artificial Neuromolecular System in Robotic Arm Control to Assist Progressive Rehabilitation for Upper Extremity Stroke Patients

  • Authors: Jongchen Chen; Hao-Ming Cheng
  • Journal: Actuators
  • Year: 2024

Applying an Artificial Neuromolecular System to the Application of Robotic Arm Motion Control in Assisting the Rehabilitation of Stroke Patients—An Artificial World Approach

  • Authors: Jong-Chen Chen; Hao-Ming Cheng
  • Journal: Biomimetics
  • Year: 2023

Bridging the Finger-Action Gap between Hand Patients and Healthy People in Daily Life

  • Authors: Chen, Jong-Chen
  • Journal: Biomimetics
  • Year: 2023

Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example

  • Authors: Chen, Jong-Chen
  • Journal: Sensors
  • Year: 2022

Effectiveness of Companion Robot Care for Dementia: A Systematic Review and Meta-Analysis

  • Authors: Li-Chin Lu; Shao-Huan Lan; Yen-Ping Hsieh; Long-Yau Lin; Shou-Jen Lan; Jong-Chen Chen
  • Journal: Innovation in Aging
  • Year: 2021

Dr. Karina Grömer | Challenges and Competitions | Best Researcher Award

📚 Summary

Dr. Karina Grömer is a leading expert in prehistoric archaeology and material culture. Currently serving as the Head of the Department of Prehistory at the Natural History Museum Vienna, she has made significant contributions to the study of textiles, particularly from the Neolithic to the Iron Age in Central Europe. Her research focuses on technological, economic, and social aspects of textile production and includes theoretical approaches to identity, innovation, and creativity. Dr. Grömer earned her Ph.D. from the University of Vienna and has held various academic and research positions, including a post-doctoral role on the DressID project. She has received notable grants for her work and is actively involved in several scientific societies.

Education

  • Ph.D. in Prehistoric Archaeology, University of Vienna (2007)
  • M.A. in Pre- and Protohistory, University of Vienna (1999)

💼 Professional Experience

  • Head of the Department of Prehistory, Natural History Museum Vienna (2022-present)
  • Habilitation in Humanities, University of Vienna (2019)
  • Staff Scientist & Vice-Head, NHM Vienna Publishing House (2012-present)
  • Post-Doc Researcher, DressID Project, NHM Vienna (2008-2012)
  • Archaeologist, Archäologie Service, Krems (2007)
  • Archaeologist, ASINOE, Lower Austria (1999-2001)

🔬 Research Interests

  • Material Culture: Neolithic to Iron Age, Central Europe.
  • Textiles: Technological, economic, and social aspects of textile production.
  • Theoretical Approaches: Identity, innovation, creativity, design theory, visual coding.
  • Interdisciplinary Studies: Organic artefacts, forensic, sociological, and semiotic analysis.

🏆 Grants and Achievements

  • Publication Grant: “The Prehistoric Art of Textile Making” (2016)
  • Research Grant: Historical-Technological Experimentation Centre Lejre, Denmark (2007)

 

Publications

Schlitzbommeln und Anhänger: Klingender Trachtschmuck aus der Byci skala-Höhle bei Brünn

  • Authors: Jörg Mühlhans, Beate Maria Pomberger, Karina Grömer, Dan Topa
  • Journal: Mitteilungen der Anthropologischen Gesellschaft in Wien
  • Year: 2020

Dressing Central European prehistory–the sheep’s contribution An interdisciplinary study about archaeological textile finds and archaeozoology

  • Authors: Karina Grömer, Konstantina Saliari
  • Journal: Annalen des Naturhistorischen Museums in Wien. Serie A für Mineralogie und Petrographie, Geologie und Paläontologie, Anthropologie und Prähistorie
  • Year: 2018

Products of animal skin from Antiquity to the Medieval Perio

  • Authors: Karina Grömer, Gabriela Russ-Popa, Konstantina Saliari
  • Journal: Annalen des Naturhistorischen Museums in Wien. Serie A für Mineralogie und Petrographie, Geologie und Paläontologie, Anthropologie und Prähistorie
  • Year: 2017

Offering with textile wrapping from a Bell Beaker sanctuary in Brodek u Prostějova, Czech Republic

  • Authors: Karina Grömer, Pavel Fojtík, Angelika Rudelics, Andreas Kroh
  • Journal: Annalen des Naturhistorischen Museums in Wien. Serie A für Mineralogie und Petrographie, Geologie und Paläontologie, Anthropologie und Prähistorie
  • Year: 2017

Reproducing colourful woven bands from the Iron Age salt mine of Hallstatt in Austria: An interdisciplinary approach to acquire knowledge of prehistoric dyeing technology

  • Authors: Anna Hartl, Maarten R van Bommel, Ineke Joosten, Regina Hofmann-de Keijzer, Karina Grömer, Helga Rösel-Mautendorfer, Hans Reschreiter
  • Journal: Journal of Archaeological Science: Reports
  • Year: 2015