Helena da silva santos rodrigues | Education | Excellence in Research Award

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Prof. Helena da silva santos rodrigues | Education | Excellence in Research Award

Prof. Coordenadora at IPVC – Instituto Politécnico d, Portugal

Helena Maria da Silva Santos Rodrigues, born on September 11, 1968, in Massarelos, Portugal, is an esteemed academic and researcher. With a PhD in Business from Vigo University (Spain), she is an Emeritus Professor at the Universidad de Panamá and a renowned specialist in innovation and intellectual capital. She has contributed significantly to the development of educational curricula and specialized teaching materials. Helena has also been a driving force in the creation of numerous academic programs in marketing, business, and tourism at Instituto Politécnico de Viana do Castelo. Her work is marked by deep insight into sustainable business practices 🌍📚🎓.

Professional Profile:

Scopus

Education and Experience

  • Emeritus Professor (2016), Universidad de Panamá 👩‍🏫

  • Ph.D. (2008), Vigo University (Spain) – Sobressaliente Cum Laude 🏆

  • Diploma in Advanced Studies (2003), Vigo University (Spain) 📜

  • MBA in Marketing and International Finances (1997-1998), Lusófona University 🌍💼

  • Post-Graduation in Marketing and International Finances (1996-1997), Lusófona University 📊

  • Bachelor’s (5 years) in Administration and Organization Management (1990-1996), Catholic Portuguese University 🏫

Professional Development

Helena Maria da Silva Santos Rodrigues has developed various postgraduate programs in management, sustainability, and quality for Central American universities, including the creation of curricula on innovation, international business, and marketing strategies. Her academic journey also includes the proposal and restructuring of multiple master’s and bachelor’s degrees, such as the Marketing and Business Communication courses at Instituto Politécnico de Viana do Castelo. Through her work, Helena has made a lasting impact on the quality of higher education in business and tourism. Her professional development continues to shape academia and enhance industry connections 🎓🌐🔧.

Research Focus

Helena’s research focuses on intellectual capital, innovation capacity, and their application to business sectors, particularly in the context of the automotive industry in the Euroregion of Galicia – Northern Portugal. She is passionate about understanding how intellectual assets can foster innovation and enhance competitiveness. Her academic interests also extend to the fields of sustainable business practices and marketing strategies, with a special focus on the integration of these concepts in SMEs. Helena’s work aims to bridge theory and practice, advancing both the academic world and the global business landscape 🌱💡🔍.

Awards and Honors

  • PhD Investigation Extraordinary Award (2011), Vigo University 🏅

  • Emeritus Professor (2016), Facultad de Administración de Empresas y Contabilidad de la Universidad de Panamá 🎖️

  • “European PhD” Mention (2008), Vigo University 🎓

Publication Top Notes

Title: The Impact of Structural Capital Components on Management Innovation Implementation: PLS-SEM Application on Portuguese Healthcare Professionals
Authors: Helena Santos-Rodrigues, Beatriz Rodrigues Araújo

Conclusion:

Dr. Helena Maria da Silva Santos Rodrigues stands out for her research achievements, international collaborations, and significant contributions to curriculum development in the fields of business, innovation, and sustainability. Her research, which addresses real-world challenges such as the role of intellectual capital in innovation, coupled with her extensive teaching experience and leadership in developing educational programs, makes her a deserving candidate for the Excellence in Research Award. Her work not only contributes to academia but also has a lasting impact on industry and international educational standards.

Shihao Zhang | Nanostructures | Best Researcher Award

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Dr. Shihao Zhang | Nanostructures | Best Researcher Award

Specially Appointed Assistant Professor at Osaka University, Japan.

🎓 Dr. Shihao Zhang (born August 1993) is a Specially Appointed Assistant Professor at Osaka University, Japan, specializing in computational materials science. His research spans materials theory, mechanical properties, crystal defects, nanostructures, and machine learning applications. He earned his Ph.D. in Materials Science from Beihang University and has held prestigious research positions, including a JSPS Postdoctoral Fellowship. Dr. Zhang has contributed significantly to high-throughput materials simulations, publishing 34+ papers in leading journals like npj Computational Materials and Acta Materialia, accumulating 750+ citations (H-index: 13).

Professional Profile:

Scopus Profile

Suitability for Best Researcher Award – Dr. Shihao Zhang

Dr. Shihao Zhang stands out as a strong candidate for the Best Researcher Award due to his remarkable contributions to computational materials science. His expertise in materials theory, nanostructures, and machine learning-driven materials design has significantly advanced the field. His research has led to high-throughput materials simulations, fundamental discoveries in mechanical properties, and the development of innovative software tools.

Education & Experience

📚 Education:

  • 🎓 Ph.D. in Materials Science – Beihang University, 2021
  • 📊 B.S. in Materials Science & Engineering & Applied Mathematics – Dual degrees

🧑‍🏫 Experience:

  • 🔬 Specially Appointed Assistant Professor – Osaka University, Japan
  • 🏅 JSPS Postdoctoral Fellow – Osaka University
  • 💻 Researcher – IT4Innovations, Czech National Supercomputing Centre

Professional Development

🧪 Dr. Shihao Zhang has made significant contributions to computational materials science through advanced modeling, high-throughput simulations, and machine learning techniques. He has developed innovative software tools to enhance material design and prediction capabilities. 📈 His work bridges fundamental materials theory with practical applications, focusing on mechanical properties, plasticity, and nanostructures. 🔗 His research collaborations span multiple international institutions, fostering advancements in computational techniques and supercomputing applications. 🏆 With 34+ publications in prestigious journals and an H-index of 13, Dr. Zhang continues to drive impactful discoveries in materials science.

Research Focus

🛠️ Dr. Zhang’s research lies at the intersection of materials theory, mechanical properties, crystal defects, plasticity, nanostructures, and computational modeling. His expertise in machine learning-driven materials design enables the development of advanced materials with superior mechanical performance. 💡 His work utilizes high-throughput computational methods to predict material behavior at the atomic and nanoscale levels. 🔬 By integrating data-driven approaches with physics-based simulations, he enhances material discovery and optimization. 🌍 His research is essential for innovations in aerospace, electronics, and structural materials, pushing the boundaries of next-generation materials engineering.

Awards & Honors

🏅 JSPS Postdoctoral Fellowship – Japan Society for the Promotion of Science
📜 Multiple Research Grants – Supporting computational materials research
📖 34+ High-Impact Publications – npj Computational Materials, Acta Materialia, Physical Review B
📊 750+ Citations (H-index: 13) – Recognized research contributions
💡 Developed Software Tools – For high-throughput materials simulations
🌍 International Research Collaborations – Osaka University, IT4Innovations, and more

Publication Top Notes

  • Title: Temperature and loading-rate dependent critical stress intensity factor of dislocation nucleation from crack tip: Atomistic insights into cracking at slant twin boundaries in nano-twinned TiAl alloys

    • Authors: R. Fu, Rong; Z. Rui, Zhiyuan; J. Du, Junping; F. Meng, Fanshun; S. Ogata, Shigenobu
    • Year: 2025

  • Title: A dislocation perspective on heterointerfacial strengthening in nanostructured diamond and cubic boron nitride composites

    • Authors: H. Wei, Hanqing; H. Zhan, Haifei; D. Legut, Dominik; S. Zhang, Shihao
    • Year: 2025

  • Title: Dislocation plasticity in c-axis nanopillar compression of wurtzite ceramics: A study using neural network potentials

    • Authors: S. Zhang, Shihao; S. Ogata, Shigenobu
    • Year: 2025

Igor Shevchenko | Earth | Best Researcher Award

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Dr. Igor Shevchenko | Earth | Best Researcher Award

Dr. Igor Shevchenko, Institute of Geochemistry Mineralogy and Ore Formatiom, Ukraine

Dr. Igor V. Shevchenko is a distinguished chemist affiliated with the Institute of Geochemistry, Mineralogy, and Ore Formation, Ukraine. He earned his M.S. in Chemistry with honors from Kiev University and a Ph.D. from the Institute of Organic Chemistry. A recipient of the Alexander von Humboldt Fellowship, he has held research positions in Germany, the USA, and Ukraine. Dr. Shevchenko is renowned for his pioneering studies on the influence of solar activity on water structuring and underground radiation phenomena. He has authored over 70 research articles, contributing significantly to the fields of geochemistry and bioorganic chemistry.

PROFILE

Scopus Profile

Educational Detail

Dr. Igor V. Shevchenko graduated from high school in Kiev, Ukraine, with a gold medal in 1974. He pursued higher education at Kiev University, earning an M.S. in Chemistry with honors in 1979. In 1985, he obtained a Ph.D. in Chemistry from the Institute of Organic Chemistry, Kiev.

Professional Experience

Dr. Shevchenko began his career at the Institute of Organic Chemistry in Kiev, where he worked on various research projects leading to his doctoral degree. In 1990, he was awarded the prestigious Alexander von Humboldt Fellowship, enabling him to serve as a visiting scholar at the University of Braunschweig, Germany, until 1993. Subsequently, he was invited to the Southern Methodist University in Dallas, Texas, where he worked until 1996. During his time there, Dr. Shevchenko repaired a complex nuclear magnetic resonance (NMR) spectrometer, which the university later gifted to him in recognition of his contributions. Returning to Ukraine in 1996, he utilized the NMR device to make significant discoveries about the structuring of water molecules under solar influence, contributing to the understanding of the “Water Memory” mystery.

From 2022 to 2024, Dr. Shevchenko conducted research at Jacobs University of Bremen, supported by the Alexander von Humboldt Foundation. There, he uncovered the influence of the Sun on the Earth’s night side, attributed to previously unknown underground radiation triggered by solar activity. Currently, he is based at the Institute of Geochemistry, Mineralogy, and Ore Formation of the Academy of Sciences of Ukraine.

Research Interests

Dr. Shevchenko’s research focuses on the interactions between solar activity and terrestrial phenomena. His groundbreaking work includes studying the structuring of water molecules under solar influence and exploring the effects of underground radiation induced by solar activity on the Earth’s night side. He is also deeply involved in the application of nuclear magnetic resonance spectroscopy in geochemical and bioorganic contexts.

Top Notable Publications

“Influence of the Sun on the night side of the Earth”

Authors: Shevchenko, I.V.

Year: 2024

Journal: Journal of Molecular Liquids, Volume 410, Article 125559.

Citations: 0

“Structuring of water clusters under the solar influence and their copying by bulk water”

Authors: Shevchenko, I.V.

Year: 2024

Journal: Journal of Molecular Liquids, Volume 393, Article 123576.

Citations: 0

“Influence of the Sun on Water. Dependence on geometry of solution and its position in space”

Authors: Shevchenko, I.V.

Year: 2023

Journal: Journal of Molecular Liquids, Volume 379, Article 121681.

Citations: 0

“Self-organization of water molecules over 11-year solar cycle”

Authors: Shevchenko, I.V.

Year: 2022

Journal: Journal of Molecular Liquids, Volume 355, Article 118866.

Citations: 3

Conclusion

Dr. Igor V. Shevchenko’s outstanding educational achievements, international professional experiences, and innovative research contributions make him a strong candidate for the Best Researcher Award. His discoveries on the Sun’s influence on water and Earth’s night side exemplify groundbreaking scientific contributions that resonate across disciplines.

 

 

 

 

 

 

 

 

 

Shahid Akbar | Computer Science | Best Researcher Award

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Dr. Shahid Akbar | Computer Science | Best Researcher Award

Orcid Profile 

Scopus Profile

Educational Details

Postdoctoral Fellow
IFFS, University of Electronic Science and Technology of China
June 2023 – Present

Ph.D. in Computer Science
Abdul Wali Khan University Mardan, Pakistan
2017 – 2021
Dissertation Title: An Intelligent Computational Model for Identification of Anticancer Peptides

M.S. in Computer Science
Abdul Wali Khan University Mardan, Pakistan
2012 – 2016

Bachelor’s in Computer and Information Technology
Islamic University of Technology, Dhaka, Bangladesh
2008 – 2011

Professional Experience

Dr. Shahid Akbar currently serves as a Postdoctoral Fellow at the IFFS, University of Electronic Science and Technology of China, where he is engaged in advanced research in bioinformatics and artificial intelligence. Prior to this, he was a Lecturer in the Department of Computer Science at Abdul Wali Khan University Mardan, Pakistan, from August 2015 to June 2023, where he taught various undergraduate courses and contributed to the academic development of students in the field. Before that, he held a similar position at the Government College of Management Sciences in Swabi, Pakistan, from January 2012 to August 2015, where he began his academic career. Through these roles, Dr. Akbar has built a solid foundation in teaching and research, fostering a strong interest in the application of computational methods to solve complex scientific problems.

Research Interest

Dr. Shahid Akbar’s research interests lie at the intersection of bioinformatics and artificial intelligence. He specializes in machine learning, deep learning, pattern recognition, and neural networks, with a particular focus on developing intelligent computational models for identifying anticancer peptides.

Technical Skills

Dr. Akbar is proficient in various programming languages and tools, including Python, Keras, TensorFlow, SQL Server, R, MATLAB, Spark, and Hadoop. His expertise extends to data warehousing and advanced Java programming.

Awards and Distinctions

OIC Scholarship (3 years)

AWKUM Talented PhD Students Scholarship

Courses Taught

Dr. Akbar has taught a range of undergraduate courses, including:

Machine Learning

Data Structures and Algorithms

Introduction to Programming

Pattern Recognition

Object-Oriented Programming

Data Mining and Warehousing

Artificial Intelligence

Junior Project/Graduate Project

Top Notable Publications

Hybrid Residue Based Sequential Encoding Mechanism with XGBoost Improved Ensemble Model for Identifying 5-Hydroxymethylcytosine Modifications

Authors: Uddin, I., Awan, H.H., Khalid, M., Abdolrasol, M.G.M., Alghamdi, T.A.H.

Journal: Scientific Reports

Year: 2024

Volume: 14

Issue: 1

Article Number: 20819

Citations: 0

StackedEnC-AOP: Prediction of Antioxidant Proteins Using Transform Evolutionary and Sequential Features Based Multi-Scale Vector with Stacked Ensemble Learning

Authors: Rukh, G., Akbar, S., Rehman, G., Alarfaj, F.K., Zou, Q.

Journal: BMC Bioinformatics

Year: 2024

Volume: 25

Issue: 1

Article Number: 256

Citations: 0

Deepstacked-AVPs: Predicting Antiviral Peptides Using Tri-Segment Evolutionary Profile and Word Embedding Based Multi-Perspective Features with Deep Stacking Model

Authors: Akbar, S., Raza, A., Zou, Q.

Journal: BMC Bioinformatics

Year: 2024

Volume: 25

Issue: 1

Article Number: 102

Citations: 17

AIPs-DeepEnC-GA: Predicting Anti-Inflammatory Peptides Using Embedded Evolutionary and Sequential Feature Integration with Genetic Algorithm Based Deep Ensemble Model

Authors: Raza, A., Uddin, J., Zou, Q., Alghamdi, W., Liu, R.

Journal: Chemometrics and Intelligent Laboratory Systems

Year: 2024

Volume: 254

Article Number: 105239

Citations: 0

Comprehensive Analysis of Computational Methods for Predicting Anti-Inflammatory Peptides

Authors: Raza, A., Uddin, J., Akbar, S., Zou, Q., Ahmad, A.

Journal: Archives of Computational Methods in Engineering

Year: 2024

Volume: 31

Issue: 6

Pages: 3211–3229

Citations: 3

DeepAVP-TPPred: Identification of Antiviral Peptides Using Transformed Image-Based Localized Descriptors and Binary Tree Growth Algorithm

Authors: Ullah, M., Akbar, S., Raza, A., Zou, Q.

Journal: Bioinformatics

Year: 2024

Volume: 40

Issue: 5

Article Number: btae305

Citations: 9

iAFPs-Mv-BiTCN: Predicting Antifungal Peptides Using Self-Attention Transformer Embedding and Transform Evolutionary Based Multi-View Features with Bidirectional Temporal Convolutional Networks

Authors: Akbar, S., Zou, Q., Raza, A., Alarfaj, F.K.

Journal: Artificial Intelligence in Medicine

Year: 2024

Volume: 151

Article Number: 102860

Citations: 18

Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems

Authors: Javed, H., Abaid, Z., Akbar, S., Alkahtani, H.K., Raza, A.

Journal: IEEE Access

Year: 2024

Volume: 12

Pages: 12062–12079

Citations: 2

Conclusion

In summary, Dr. Shahid Akbar’s diverse research interests, significant contributions to bioinformatics, robust technical skills, extensive educational background, and active participation in academia and professional development make him an exceptional candidate for the Best Researcher Award. His work not only advances the field of computer science but also contributes to addressing critical challenges in healthcare, particularly in cancer research.