Pengyun Xu | Surface Engineering | Best Researcher Award

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Assoc. Prof. Dr. Pengyun Xu | Surface Engineering | Best Researcher Award

Associate Professor | Ocean University of China | China

Assoc. Prof. Dr. Pengyun Xu is an accomplished researcher and academic leader in the field of thermal spray technologies, functional coatings, and micro/nanostructured surfaces, currently serving as an Associate Professor at the College of Engineering, Ocean University of China. He obtained his Ph.D. in Mechanical and Industrial Engineering from the University of Toronto, Canada, in 2019, under the mentorship of the renowned Prof. Javad Mostaghimi, focusing on the deposition of superhydrophobic rare earth oxide coatings via solution precursor plasma spray processes. Dr. Xu previously worked as a Postdoctoral Fellow at the University of Toronto (2019–2021), where he investigated columnar-structured thermal barrier coatings, pseudocapacitor electrodes, and graphene synthesis. His current research centers on liquid feedstock plasma spray processes, underwater drag-reduction coatings, superhydrophobic and thermal barrier coatings, and the modeling of micro/nanoscale behaviors in plasma jets, integrating experimental and computational approaches. Dr. Xu’s research skills span materials synthesis, advanced plasma spray technologies, surface morphology control, and functional property characterization, complemented by strong expertise in cross-disciplinary project management. He has published extensively, with over 15 first- or corresponding-author papers in high-impact journals such as Journal of Advanced Ceramics, Surface & Coatings Technology, and Journal of Colloid and Interface Science, and has authored a book chapter with Elsevier. Dr. Xu has led several national and provincial-level research projects and collaborated internationally through NSERC-funded programs in Canada. He serves as a guest editor, editorial board member, and best paper award judge for international conferences and journals. His awards and honors include multiple grants from the Shandong Provincial Natural Science Foundation and the China Postdoctoral Science Foundation, reflecting his innovative contributions to advanced coating technologies. In conclusion, Dr. Xu exemplifies scientific excellence, leadership, and innovation in materials engineering, with his research advancing sustainable surface technologies and his growing influence promising significant international impact in the field of functional coatings and surface science. 895 Citations | 33 Documents | 15 h-index .

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Wei, Z. Y., Meng, G. H., Chen, L., Li, G. R., Liu, M. J., Zhang, W. X., Zhao, L. N., Zhang, Q., Xu, P., … (2022). Progress in ceramic materials and structure design toward advanced thermal barrier coatings. Journal of Advanced Ceramics, 11(7), 985–1068. Cited by: 335

  2. Xu, P., Coyle, T. W., Pershin, L., & Mostaghimi, J. (2018). Superhydrophobic ceramic coating: Fabrication by solution precursor plasma spray and investigation of wetting behavior. Journal of Colloid and Interface Science, 523, 35–44. Cited by: 70

  3. Meng, G. H., Liu, H., Xu, P. Y., Li, G. R., Xu, T., Yang, G. J., & Li, C. J. (2020). Superior oxidation resistant MCrAlY bond coats prepared by controlled atmosphere heat treatment. Corrosion Science, 170, 108653. Cited by: 69

  4. Xu, P., Coyle, T. W., Pershin, L., & Mostaghimi, J. (2018). Fabrication of micro-/nano-structured superhydrophobic ceramic coating with reversible wettability via a novel solution precursor vacuum plasma spray process. Materials & Design, 160, 974–984. Cited by: 53

  5. Yi, P., Zhan, X., He, Q., Liu, Y., Xu, P., Xiao, P., & Jia, D. (2019). Influence of laser parameters on graphite morphology in the bonding zone and process optimization in gray cast iron laser cladding. Optics & Laser Technology, 109, 480–487. Cited by: 51

Iman Luaibi | Chemical Physics | Best Researcher Award

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Ms. Iman Luaibi | Chemical Physics | Best Researcher Award

University of Basrah | Iraq

Ms. Iman Nahudh Luaibi Al-Maliki is an Assistant Lecturer in the Department of Basic Sciences, College of Dentistry at the University of Basrah, Iraq, affiliated with the Ministry of Higher Education and Scientific Research. She holds a B.Sc. in Physics (2006, University of Basrah) and an M.Sc. in Physics (2025, University of Thi-Qar), where her thesis focuses on Charge Transfer between Semiconductors and Metallic Nanoclusters. With over a decade of teaching and laboratory experience, Ms. Luaibi has served as a Physical Assistant (2011–2020) and now contributes as a lecturer guiding undergraduate students in experimental physics, laboratory practices, and scientific reporting. Her research interests lie in Medical Physics, Nanomaterials, Nanoclusters, Density Functional Theory (DFT) analysis, and drug delivery systems, with an emphasis on exploring the electronic and structural properties of nanostructures for medical and technological applications. She has published several peer-reviewed papers in Scopus and Q1-indexed journals, including Chemical Physics, Asian Pacific Journal of Cancer Prevention (APJCP), Journal of Nanostructures, and International Journal of Medicinal Mushrooms, demonstrating her active engagement in interdisciplinary scientific research. Ms. Luaibi’s research skills include DFT computational modeling, nanomaterial synthesis and characterization, spectroscopy, and data analysis, supported by proficiency in both English and Arabic scientific communication. Her contributions have been recognized within her institution for academic excellence and dedication to student mentorship. She is also actively involved in collaborative projects within Iraq and aspires to expand her international research network. With a growing h-index and citation record, she reflects a strong commitment to scholarly impact and continuous professional growth. In conclusion, Ms. Iman Luaibi exemplifies a motivated researcher and educator whose expertise, innovation, and dedication position her to make significant future contributions to the fields of medical physics, nanotechnology, and applied physical sciences. 20 Citations | 4 Documents | 2 h-index.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

  1. Al-Abdullah, Z. T., Al-Shawi, A. A. A., Aboud, M. N., Al-Furaiji, H. Q. M., & Luaibi, I. N. (2020). Synthesis and analytical characterization of gold nanoparticles using microwave-assisted extraction system and study of their application in degradation. Journal of Nanostructures, 10(4), 682–690. Citations: 8

  2. Al-Shawi, A. A. A., Hameed, M. F., Hussein, K. A., Neamah, H. F., & Luaibi, I. N. (2021). Gas chromatography–mass spectrometry analysis of bioactive compounds of Iraqi truffle Terfezia claveryi (Ascomycetes), synthesis of silver nanoparticles, and appraisal of its biological activities. International Journal of Medicinal Mushrooms, 23(3), 79–89. Citations: 6

  3. Luaibi, I. N., & Alwan, A. S. (2025). DFT investigation on electronic properties of the first-principle three models of titanium–zirconium nanoclusters doped with two molecules of gallium–arsenic. Chemical Physics, 598, 112821. Citations: 3

  4. Faisal, N. H., Obaid, N. A. M., Ali, N. W., Mohsein, O. A., & Luaibi, I. N. (2025). Green synthesis of silver nanoparticles using the seeds of Lupinus luteus: Characterization and assessment of antibacterial and anticancer activities. Asian Pacific Journal of Cancer Prevention (APJCP), 26(9), 3405–3414. Citations: 3

Mohsin Hasan | Management science and engineering | Best Researcher Award

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Mr . Mohsin Hasan | Management science and engineering | Best Researcher Award

Student at Nanjing University of Aeronautics and Astronautics , China

Mohsin Hasan is a dedicated and impactful researcher currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics, China. His research focuses on epileptic seizure prediction using advanced machine learning techniques, including LSTM, SHAP, and deep neural networks, addressing a critical healthcare challenge. With publications in top-tier SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, he demonstrates strong academic rigor and innovation. Mohsin possesses expertise in Python programming, big data analysis, and research writing, supported by a multi-disciplinary academic background in sociology. He has also actively contributed to community health initiatives in Pakistan, reflecting a blend of technical and social impact. While improved English proficiency and expanded international collaboration could enhance his profile, his current achievements make him a strong candidate for the Best Researcher Award, showcasing both research excellence and real-world relevance.

Professional Profile

Education🎓

Mohsin Hasan has a diverse and interdisciplinary educational background that bridges social sciences and engineering. He is currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics in China, with a research focus on epileptic seizure prediction using machine learning and deep learning techniques. Prior to his doctoral studies, he completed an M.S. in Rural Sociology from the University of Agriculture Faisalabad and a Master’s degree in Sociology from the University of Sargodha, Pakistan. His academic journey began with a Bachelor of Arts from Government College University Faisalabad, followed by intermediate studies at Government Islamia College Chiniot and matriculation at Government High School Chak No. 152 JB Chiniot. Throughout his education, Mohsin has developed strong skills in Python programming, big data analysis, and research writing, positioning him to apply advanced technological solutions to both social and engineering problems, particularly in healthcare and community development.

Professional Experience📝

Mohsin Hasan has a well-rounded professional background that spans academic research and community development. Currently, he is engaged in cutting-edge research as a PhD scholar, working on epileptic seizure prediction using machine learning, with multiple SCIE-indexed publications to his name. His earlier professional experience includes various social outreach and coordination roles across Pakistan. As a Social Outreach Worker with UNODC, he led awareness campaigns and community mobilization for drug addiction treatment. He also served as Supervisor for the Sehat Sahulat Insaaf Card project with RCDP, managing field staff and overseeing healthcare card distribution. As a Dosti Coordinator with Muslim Hands International, he trained teachers and encouraged school enrollment and student participation in extracurricular activities. Additionally, he worked as an Assistant Constituency Coordinator for the FAFEN Election Project, monitoring electoral processes and data collection. His experience demonstrates a strong blend of technical expertise, leadership, and community-oriented service.

Research Interest🔎

Mohsin Hasan’s research interests lie at the intersection of artificial intelligence, healthcare, and data science, with a strong focus on real-world applications that enhance human well-being. His primary area of interest is the prediction and classification of epileptic seizures using advanced machine learning and deep learning techniques, including Long Short-Term Memory (LSTM), Kolmogorov Arnold Network Theorem, SHAP-driven feature analysis, and attention-based neural networks. He is particularly passionate about leveraging electroencephalography (EEG) data to develop interpretable and accurate models for early seizure detection. His research also extends to reliability engineering, operational research, and the integration of AI in medical diagnostics. With a background in sociology and rural development, Mohsin brings a unique, human-centered approach to technological innovation, aiming to bridge the gap between data-driven solutions and community health challenges. His interdisciplinary perspective fuels his commitment to creating scalable, impactful tools for healthcare and beyond, particularly in under-resourced and developing contexts.

Award and Honor🏆

Mohsin Hasan has earned recognition for his dedication to academic excellence and impactful research, positioning him as a strong candidate for prestigious honors. His most notable achievement is his contribution to high-impact, SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, where his research on epileptic seizure prediction has gained international attention. In addition to academic publications, Mohsin has been involved in global policy discussions and training sessions, including regional dialogues hosted by the Asian Institute of Technology and certification courses by the World Health Organization on emerging health threats and COVID-19 response. His ability to translate complex data science techniques into meaningful healthcare solutions reflects both innovation and social commitment. These accomplishments highlight his exceptional talent, work ethic, and relevance in critical global issues. Such recognition not only underscores his scholarly contributions but also establishes him as a deserving candidate for awards celebrating research excellence and societal impact.

Research Skill🔬

Mohsin Hasan possesses a comprehensive set of research skills that enable him to conduct advanced, data-driven investigations with real-world impact. He is highly proficient in Python programming and well-versed in tools such as Jupyter Notebook, PyCharm, and Google Colab, which he utilizes for building and testing machine learning models. His core expertise lies in deep learning, particularly in applying algorithms like Long Short-Term Memory (LSTM), 1D-ResNet, and attention mechanisms for medical data analysis, especially EEG-based epileptic seizure prediction. Mohsin is skilled in big data analytics, neural network development, and SHAP-based model interpretation, which enhances the transparency and usability of AI models. Additionally, he is experienced in academic research writing, LaTeX formatting, and data visualization using software like Edraw Max and Visio. His ability to integrate technical depth with scientific communication, along with a strong foundation in statistical methods and real-time problem-solving, marks him as a capable and innovative researcher.

Conclusion💡

✅ Yes, Mohsin Hasan is a strong and deserving candidate for the Best Researcher Award.

His profile demonstrates a rare and valuable combination of technical AI research, medical applications, and community-level engagement. His high-quality publications, technical skills, and international academic involvement position him as a rising researcher with significant impact potential.

Publications Top Noted✍

  • Title: Long Short-Term Memory and Kolmogorov Arnold Network Theorem for Epileptic Seizure Prediction

  • Authors: Mohsin Hasan, Xufeng Zhao, Wenjuan Wu, Jiafei Dai, Xudong Gu, Asia Noreen

  • Year: 2025

  • Journal: Engineering Applications of Artificial Intelligence

  • Volume and Issue: Volume 154

  • Pages: Article 110757

  • Publisher: Elsevier

  • Indexing: SCIE

  • Citation Format (APA Style):
    Hasan, M., Zhao, X., Wu, W., Dai, J., Gu, X., & Noreen, A. (2025). Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction. Engineering Applications of Artificial Intelligence, 154, 110757. https://doi.org/10.1016/j.engappai.2025.110757 (DOI placeholder if needed)

 

Vibhuti Shah | Medicine and Dentistry | Best Researcher Award

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Dr. Vibhuti Shah | Medicine and Dentistry | Best Researcher Award

MD, FRCPC at Mount Sinai Hospital, Canada

Dr. Vibhuti Shah is a distinguished neonatologist, clinical epidemiologist, and professor at the University of Toronto, with over two decades of expertise in pediatric research. She serves as Chair of the Research Ethics Board at Mount Sinai Hospital and has played a pivotal role in advancing neonatal care through her extensive research. Holding multiple prestigious qualifications, including an MSc in Clinical Epidemiology, MRCPCH (UK), and FRCPC (Canada), she has been recognized internationally for her contributions, receiving awards such as the Patil Award (AMEE, UK) and invitations from JAMA’s “Author in the Room” program. Dr. Shah’s leadership in academia and research ethics, combined with her mentorship of future medical professionals, underscores her commitment to improving neonatal outcomes. Her work has significantly impacted clinical guidelines and patient care, making her a strong contender for the Best Researcher Award. Her dedication to research excellence continues to shape advancements in neonatology and pediatrics globally.

Professional Profile

Education

Dr. Vibhuti Shah has an extensive educational background in medicine, pediatrics, and clinical research. She earned her MBBS from the University of Bombay in 1982, followed by a Diploma in Child Health (DCH) in 1986 and an MD in Pediatrics in 1987. Further advancing her expertise, she obtained the prestigious MRCP (UK) in 1994 and MRCPCH (UK) in 1997, signifying her specialization in pediatrics and child health. She later achieved the FRCPC (Paediatrics) from the Royal College of Physicians and Surgeons of Canada in 2005, cementing her reputation in the field. Committed to research excellence, Dr. Shah pursued an MSc in Clinical Epidemiology and Healthcare Research at the University of Toronto in 2007. Her extensive training includes fellowships in neonatology and perinatal medicine in India, the UK, and Canada. This strong academic foundation has enabled her to contribute significantly to neonatal research, ethics, and healthcare advancements.

Professional Experience

Dr. Vibhuti Shah has an extensive professional career spanning clinical practice, research, and academic leadership in neonatology and pediatrics. She is a Professor in the Department of Pediatrics and the Institute of Health Policy, Management, and Evaluation at the University of Toronto and a Staff Neonatologist and Clinical Epidemiologist at Mount Sinai Hospital. She also chairs the Research Ethics Board at Mount Sinai Hospital and Humber River Hospital, overseeing research integrity and compliance. Previously, she served as Interim Co-Chair of the Research Ethics Board and held clinical fellowships in neonatology in Canada, the UK, and India. She has been an Associate Member of the School of Graduate Studies at the University of Toronto since 2008 and has contributed significantly to mentoring and training medical professionals. With decades of experience in research, clinical care, and ethics, Dr. Shah has played a vital role in shaping neonatal healthcare policies and advancing pediatric medicine.

Research Interest

Dr. Vibhuti Shah’s research interests focus on neonatal-perinatal medicine, clinical epidemiology, and healthcare ethics, with a strong emphasis on improving neonatal outcomes through evidence-based interventions. She has conducted extensive research on pain management in neonates, neonatal resuscitation, and perinatal care strategies, contributing to clinical guidelines that enhance patient care. Her work in clinical epidemiology involves evaluating healthcare interventions, systematic reviews, and meta-analyses to improve neonatal and pediatric care practices. As Chair of the Research Ethics Board at Mount Sinai Hospital, she is also deeply engaged in research ethics, ensuring the ethical conduct of clinical trials and healthcare studies. Additionally, Dr. Shah has been involved in health policy research, focusing on optimizing neonatal healthcare delivery. Her contributions, recognized by prestigious international awards, continue to shape neonatal clinical practices and influence medical education, making a significant impact on global pediatric research and patient care.

Award and Honor

Dr. Vibhuti Shah has received numerous prestigious awards and honors in recognition of her contributions to neonatal research, medical education, and clinical epidemiology. Internationally, she was awarded the Patil Award by the Association for Medical Education in Europe (AMEE, UK) for her work in teaching and learning. She was also selected for the Mid-Atlantic Conference on Perinatal Research in both 2005 and 2006, receiving travel awards for her groundbreaking research in neonatology. In 2006, she was honored with the Thomas Jefferson Honorarium and Speakership for her clinical research contributions. Additionally, she was selected by the Journal of the American Medical Association (JAMA) for its “Author in the Room” program, recognizing her impactful research on neonatal pain management. These accolades underscore Dr. Shah’s exceptional leadership, innovation, and commitment to advancing neonatal healthcare, making her a highly respected figure in the global pediatric research community.

Research Skill

Dr. Vibhuti Shah possesses a diverse set of research skills that have significantly contributed to advancements in neonatal-perinatal medicine and clinical epidemiology. She is highly proficient in clinical trial design, systematic reviews, meta-analyses, and evidence-based medicine, ensuring that neonatal healthcare practices are guided by robust scientific evidence. Her expertise in biostatistics and data analysis allows her to critically evaluate healthcare interventions and contribute to policy changes. As Chair of the Research Ethics Board at Mount Sinai Hospital, she has extensive experience in research ethics, protocol development, and regulatory compliance, ensuring the integrity of clinical studies. Dr. Shah is also skilled in grant writing, peer-reviewed publishing, and mentoring young researchers, fostering innovation in pediatric research. Her ability to integrate clinical epidemiology with neonatology has led to impactful findings that have shaped neonatal care guidelines, demonstrating her strong analytical, ethical, and leadership capabilities in research.

Conclusion

Dr. Vibhuti Shah is an exceptionally strong candidate for the Best Researcher Award due to her outstanding contributions to neonatology, clinical epidemiology, and medical ethics research. While she has already earned international recognition, additional emphasis on research impact metrics and global collaboration could make her case even stronger.

Publications Top Noted

  1. Shah VK, Firmal P, Alam A, Ganguly D, Chattopadhyay S. (2020). Overview of immune response during SARS-CoV-2 infection: lessons from the past. Frontiers in Immunology, 11, 1949. https://pubmed.ncbi.nlm.nih.gov/32849654
    Cited by: 548

  2. Firmal P, Shah VK, Chattopadhyay S. (2020). Insight into TLR4-mediated immunomodulation in normal pregnancy and related disorders. Frontiers in Immunology, 11, 807.
    Cited by: 105

  3. Pant R, Firmal P, Shah VK, Alam A, Chattopadhyay S. (2021). Epigenetic regulation of adipogenesis in development of metabolic syndrome. Frontiers in Cell and Developmental Biology, 8, 619888.
    Cited by: 52

  4. Choksi A, Parulekar A, Pant R, Shah VK, Nimma R, Firmal P, Singh S, et al. (2021). Tumor suppressor SMAR1 regulates PKM alternative splicing by HDAC6-mediated deacetylation of PTBP1. Cancer & Metabolism, 9, 1-17.
    Cited by: 23

  5. Alam A, Taye N, Patel S, Thube M, Mullick J, Shah VK, Pant R, et al. (2019). SMAR1 favors immunosurveillance of cancer cells by modulating calnexin and MHC I expression. Neoplasia, 21(10), 945-962.
    Cited by: 19

  6. Firmal P, Shah VK, Pant R, Chattopadhyay S. (2022). RING finger protein TOPORS modulates the expression of tumor suppressor SMAR1 in colorectal cancer via the TLR4‐TRIF pathway. Molecular Oncology, 16(7), 1523-1540.
    Cited by: 6

  7. Pant R, Alam A, Choksi A, Shah VK, Firmal P, Chattopadhyay S. (2021). Chromatin remodeling protein SMAR1 regulates adipogenesis by modulating the expression of PPARγ. Biochimica et Biophysica Acta (BBA) – Molecular and Cell Biology of Lipids.
    Cited by: 3

  8. Sharma A, Garg S, Shah V, Agrawal P, Lohan P. (2015). Basics of design: lessons from walled city of Jaipur.
    Cited by: 2