Ali Saad | Health Professions | Best Researcher Award

Prof. Ali Saad | Health Professions | Best Researcher Award

King Saud University | Saudi Arabia

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🎓 Early Academic Pursuits

Prof. Ali Saad embarked on a stellar academic journey with a Bachelor’s degree in Electrical Engineering from the University of Saint-Etienne, specializing in electronic and computer systems. He pursued advanced studies in Digital Image Processing, earning a Master’s and Ph.D. from prestigious French universities. His doctoral research on "Filtering and Unsupervised Segmentation of Polarimetric Radar Image" at the University of Nantes set the foundation for his expertise in image processing and electronics.

🧑‍🏫 Professional Endeavors

Prof. Saad has been an integral part of King Saud University since 2000, rising from Assistant Professor to Full Professor. Over two decades, he has enriched the academic fabric with courses in image processing, biomedical instrumentation, signal processing, and microcontroller programming. His teaching portfolio reflects his diverse knowledge and commitment to mentoring students across undergraduate and postgraduate levels.

đź“š Contributions and Research Focus

Prof. Saad’s research spans innovative areas such as artificial intelligence in medical imaging, drug delivery models, and numerical analysis of two-phase flows. His recent work leverages AI for early brain tumor detection and nanoparticle visualization for nanomedicine. His contributions to computational methods, diagnostic tools, and medical systems underscore his role as a thought leader in applied sciences.

🏆 Accolades and Recognition

Prof. Saad’s achievements include international grants from NIH and ASTF, recognition by the Cambridge Blue Book, and awards for strategic planning at King Saud University. Notably, he played a pivotal role in KSU’s ABET accreditation and received certificates of appreciation from global organizations. His honorary memberships and accolades highlight his influence in academic and research circles.

🌍 Impact and Influence

Beyond academics, Prof. Saad has contributed to institutional excellence through leadership roles in quality assurance, accreditation, and strategic planning. His consultancy with the NCAAA and participation in academic advisory boards reflect his impact on higher education standards and policy formulation.

🌟 Legacy and Future Contributions

Prof. Ali Saad’s legacy lies in his interdisciplinary expertise, innovative teaching methodologies, and groundbreaking research. As a pioneer in merging AI and biomedical imaging, he continues to inspire the scientific community and shape the future of technology-driven solutions in healthcare. His dedication to advancing knowledge ensures his contributions will resonate for years to come.

 

Publications


đź“„ Optimal Air Flow Modeling in Real Healthcare Facilities for Quick Removal of Contaminated Air

  • Journal: Processes
  • Year: 2024
  • Authors: Omar Altwijri, Ravish Javed, Yousif A. Algabri, Fakhouri Abdulaziz Saud, Khaled Alqarni, Reema Altamimi, Sarah Alqahtani, Mohammed Almijalli, Ali Saad

📄 Novel Deep-Learning Approach for Automatic Diagnosis of Alzheimer’s Disease from MRI

  • Journal: Applied Sciences
  • Year: 2023
  • Authors: Omar Altwijri, Reem Alanazi, Adham Aleid, Khalid Alhussaini, Ziyad Aloqalaa, Mohammed Almijalli, Ali Saad

đź“„ Artificial Intelligence Approach for Early Detection of Brain Tumors Using MRI Images

  • Journal: Applied Sciences
  • Year: 2023
  • Authors: Adham Aleid, Khalid Alhussaini, Reem Alanazi, Meaad Altwaimi, Omar Altwijri, Ali Saad

đź“„ Estimation of SPIO Nanoparticles Uptakes by Macrophages Using Transmission Electron Microscopy

  • Journal: International Journal of Molecular Sciences
  • Year: 2022
  • Authors: Adham Aleid, Khalid Alhussaini, Mohammed Almijalli, Ali Saad

đź“„ Numerical Analysis for Two-Phase Flow with Non-Equilibrium Capillary Pressure in Anisotropic Porous Media

  • Journal: Advances in Computational Mathematics
  • Year: 2022
  • Authors: Ali Saad, Khaled Bouadjila, Ali Samir Saad, Mazen Saad, Wissal Mesfar

 

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Dr. Esi Elliot | Business, Management and Accounting | Best Researcher Award

University of Texas at Rio Grande Valley | United States

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Early Academic Pursuits đź“š

Dr. Esi Elliot began her academic journey with a Bachelor of Science in Banking and Finance from the University of Ghana, followed by an MBA in International Business from Schiller International University, United Kingdom. She pursued further studies with a Ph.D. in Business Administration (Marketing) from the University of Illinois at Chicago, laying a strong foundation for her future career in academia and business.

Professional Endeavors đź’Ľ

Dr. Elliot's professional career is marked by her roles as an Assistant Professor of Practice in International Business and Entrepreneurship at the University of Texas at Rio Grande Valley. She has also served as an Assistant Professor of Marketing at Midwestern State University, Suffolk University, and a Visiting Assistant Professor at George Washington University. Her professional journey includes significant contributions in teaching international business, marketing, and entrepreneurship at various esteemed institutions.

Contributions and Research Focus 🔍

Dr. Elliot's research focuses on international business, globalization, and entrepreneurship. Her work includes studies on value co-creation, digital financial services in emerging markets, and strategic financial management. Notable publications include articles in the Journal of Business Research and Sustainability, contributing valuable insights into customer experience, environmental sustainability, and digital financial inclusion.

Accolades and Recognition 🏆

Dr. Elliot has received several prestigious awards for her contributions to academia and industry. Highlights include the Global Black Women in Banking and Finance Annual Honors Award and recognition for innovative excellence in marketing education from the American Marketing Association. She has also been acknowledged for her academic excellence and contributions to teaching and research through various awards and honors.

Impact and Influence 🌍

Dr. Elliot's impact extends beyond academia into the realms of business and innovation. Her role as CEO of Anansewaa Global Market Foundation and her pro-bono consulting for the African Continental Free Trade Area demonstrate her commitment to youth development and entrepreneurial support. Her innovative approaches in marketing and product development have significantly influenced the banking industry in Ghana.

Legacy and Future Contributions 🌟

Dr. Elliot's legacy is defined by her dedication to education, research, and professional excellence. Her future contributions are likely to continue shaping the fields of international business and entrepreneurship through innovative research and impactful teaching. Her ongoing efforts to support entrepreneurial development and global business strategies will undoubtedly leave a lasting impact on the academic and professional communities.

 

Publications  📚


  • đź“ť Environmental sustainability and customer experience in emerging markets
    Authors: Tsetse, E.K.K., Adams, R., Elliot, E.A., Downey, C.
    Journal: Business Strategy and the Environment
    Year: 2024

  • đź“ť From racialized brands to authentic brands: Dynamic conceptual blending
    Authors: Elliot, E.A., Cavazos, C., Chow, A.M.
    Journal: Journal of Global Scholars of Marketing Science
    Year: 2024

  • đź“ť Customer Value Co-Creation: Environmental Sustainability as a Tourist Experience
    Authors: Elliot, E.A., Adams, R., Tsetse, E.K.K.
    Journal: Sustainability (Switzerland)
    Year: 2023

  • đź“ť Ethnic chambers of commerce and co-creation of value: a synthesis of cultural and networking competencies
    Authors: Elliot, E., Smith, R.S., Bicen, P.
    Journal: Journal of Research in Marketing and Entrepreneurship
    Year: 2023

  • đź“ť Digital Financial Services and Strategic Financial Management: Financial Services Firms and Microenterprises in African Markets
    Authors: Elliot, E.A., Cavazos, C., Ngugi, B.
    Journal: Sustainability (Switzerland)
    Year: 2022

  • đź“ť Mobile Financial Services at the Base of the Pyramid: A Systematic Literature Review: An Abstract
    Authors: Dadzie, C.A., Kwaramba, M., Elliot, E.
    Journal: Developments in Marketing Science: Proceedings of the Academy of Marketing Science
    Year: 2022

 

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Assist Prof Dr. Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

SRM Institute of Technology | India

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Early Academic Pursuits 🎓

Dr. Vidhushavarshini Sureshkumar's academic journey is a testament to her dedication to excellence. She earned her Ph.D. in Information and Communication Engineering from Sona College of Technology under Anna University in 2022. Prior to this, she completed her M.E. in Computer Science and Engineering from Vinayaka Missions Kirubanandha Variyar Engineering College, achieving first-class honors. Her academic accomplishments extend to various domains, including an MBA in Human Resource Management and an M.Sc. in Psychology from IGNOU and Madras University, respectively, showcasing her interdisciplinary approach to education.

Professional Endeavors đź’Ľ

Dr. Vidhushavarshini's professional career spans several esteemed institutions. Currently, she serves as an Assistant Professor (Senior Grade) at SRM Institute of Technology. She has previously held positions at Sona College of Technology and Gnanamani College of Technology, where she contributed as both a faculty member and a research scholar. Her roles have not been limited to academia; she has also been a subject matter expert and content developer for SkillUp Technologies. Her career is marked by a strong commitment to student development, as evidenced by her work in placement training, curriculum design, and as a class counselor.

Contributions and Research Focus 🔬

Dr. Vidhushavarshini's research interests lie in Bioinformatics, Machine Learning, Deep Learning, and Data Science, among others. She has published extensively in high-impact journals, with significant contributions to the fields of thyroid disease classification, breast cancer diagnosis, and cardiovascular disease prediction using advanced computational techniques. Her work integrates cutting-edge technologies like IoT, deep learning, and XGBoost, addressing critical issues in healthcare and computer science.

Accolades and Recognition 🏅

Throughout her career, Dr. Vidhushavarshini has received numerous accolades for her academic and professional contributions. She has been recognized for securing the top rank in technical English assessments and has played a pivotal role as a resource person in faculty development programs. Her achievements in securing placements for students in multinational corporations highlight her influence as an educator and mentor.

Impact and Influence 🌍

Dr. Vidhushavarshini's impact extends beyond the classroom. Her leadership in organizing workshops on artificial intelligence, deep learning, and ethical hacking has empowered countless students and professionals. She has also contributed to national and international conferences, sharing her expertise and fostering collaborations that push the boundaries of technology and education.

Legacy and Future Contributions 🌟

Dr. Vidhushavarshini's legacy is defined by her unwavering commitment to education and research. As she continues to advance in her career, her future contributions promise to be just as impactful. With a strong foundation in interdisciplinary studies and a passion for innovation, she is poised to make significant strides in the fields of computer science and engineering, leaving an indelible mark on the academic and professional communities.

 

Publications đź“š


đź“ťRevolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Author : Jaganathan, D., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024


đź“ťAn Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction
Author : Revathi, T.K., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024


đź“ťA Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods
Author : Sureshkumar, V., Jaganathan, D., Ravi, V., Velleangiri, V., Ravi, P.
Journal & Year : Open Bioinformatics Journal, 2024


đź“ťSmart Healthcare Monitoring System: Integrating IoT, Deep Learning, and XGBoost for Real-Time Patient Diagnosis
Author : Paulraj, K., Soms, N., David Samuel Azariya, S., Jeba Emilyn, J., Sureshkumar, V.
Journal & Year : OCIT 2023 - 21st International Conference on Information Technology, Proceedings, 2023


đź“ťOptimization of Process Parameters on Wire Cut Electrical Discharge Machining and Surface Integrity Studies of AA6070/MgO Composites
Author : Vinoth, S., Rajasekar, C., Sathish, P., Hasane Ahammad, S., Girimurugan, R.
Journal & Year :  Journal of Physics: Conference Series, 2023


 

Banafshe Felfeliyan | Health Professions | Best Researcher Award

Dr. Banafshe Felfeliyan | Health Professions | Best Researcher Award

University of Alberta | Canada

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Early Academic Pursuits

Dr. Banafshe Felfeliyan embarked on her academic journey with a Bachelor's degree in Computer Engineering from Isfahan University of Technology, Iran, followed by a Master's focusing on coronary vessel segmentation. She then pursued a Ph.D. in Biomedical Engineering, specializing in medical imaging, from the University of Calgary, Canada. Her doctoral research delved into automatic quantification of osteoarthritis features using deep learning techniques.

Professional Endeavors

Dr. Felfeliyan's professional career has been marked by significant contributions in the field of medical imaging and artificial intelligence. She served as a Computer Research Engineer at the McCaig Institute, University of Calgary, where she worked on bone segmentation using deep learning. Later, she transitioned to the role of a Postdoctoral Research Fellow at the Radiology & Diagnostic Imaging Department, University of Alberta, leading projects focused on AI-driven MRI biomarker profiling for osteoarthritis.

Contributions and Research Focus

Her research primarily revolves around the intersection of medical imaging and artificial intelligence, with a focus on automated AI biomarker extraction, machine learning, deep learning, and domain adaptation. Dr. Felfeliyan has made significant contributions to the development of novel algorithms and methodologies for medical image segmentation and analysis, particularly in the context of osteoarthritis diagnosis and assessment.

Accolades and Recognition

Dr. Felfeliyan's outstanding contributions have been recognized through numerous honors and awards, including the Alberta Innovates Postdoctoral Recruitment Fellowship, Biomedical Engineering Research Excellence Award, and the AI Week Talent Bursary from the Alberta Machine Intelligence Institute. She was also honored as one of the top 15 young female scientists in Canada at the SCWIST Symposium.

Impact and Influence

Her research outputs, comprising publications in prestigious journals and presentations at international conferences, demonstrate the significant impact of her work on the scientific community. Dr. Felfeliyan's innovative approaches to medical image analysis have the potential to revolutionize clinical diagnosis and treatment planning, ultimately improving patient outcomes and healthcare delivery.

Legacy and Future Contributions

Dr. Felfeliyan's legacy lies in her pioneering work at the intersection of biomedical engineering and artificial intelligence, shaping the future of medical imaging and diagnostics. Her commitment to mentorship and teaching ensures the continuity of her legacy by nurturing the next generation of researchers and engineers. As she continues her academic journey, Dr. Felfeliyan remains dedicated to advancing the frontiers of knowledge and making meaningful contributions to healthcare innovation.

Notable Publications

OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment 2024