laiba Sultan Dar | Time series analysis | Best Researcher Award

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Ms. laiba Sultan Dar | Time series analysis | Best Researcher Award 

Phd Student at Abdul wali khan university | Pakistan

Ms. Laiba Sultan Dar is a dedicated researcher and Ph.D. scholar at Abdul Wali Khan University, specializing in time series analysis and decomposition techniques. Her academic journey is marked by a strong foundation in applied mathematics and data analytics, enabling her to contribute effectively to statistical modeling, forecasting, and computational research. She has developed expertise in identifying patterns and trends within large datasets, applying modern analytical frameworks to address complex problems in areas such as economics, climate studies, and system optimization. Her research integrates both theoretical and empirical approaches, focusing on improving the precision and interpretability of time-dependent models. Through her doctoral studies, she has actively engaged in institutional research projects and contributed to scholarly publications in recognized international journals, including those indexed by Scopus and ScienceDirect. Her work demonstrates a balance between mathematical rigor and practical application, particularly in designing adaptive models for real-world data forecasting. In addition to her academic pursuits, Ms. Laiba Sultan Dar has shown growing involvement in research collaborations and interdisciplinary studies that bridge statistical science and technological innovation. Her ability to combine methodological sophistication with computational efficiency has made her research relevant to emerging domains such as artificial intelligence-driven data analysis and predictive modeling. She continuously enhances her research capabilities by incorporating advanced tools and techniques, fostering a deeper understanding of time series dynamics. With a citation index reflecting the recognition of her early scholarly efforts, she remains committed to producing impactful research that advances statistical methodologies and contributes to data-driven decision-making. Her intellectual curiosity and analytical acumen position her as a promising researcher in quantitative sciences. Ms. Laiba Sultan Dar’s long-term goal is to strengthen the integration of mathematical modeling with applied sciences, promoting innovation and scientific development in her field. Her commitment to excellence, collaborative mindset, and ongoing pursuit of research excellence make her a deserving candidate for recognition among emerging scholars in data analytics and statistical research.

Profile: Google Scholar

Featured Publications:

  • Dar, L., Akmal, A., Naseem, M. A., & Khan, K. U. D. (2011). Impact of stress on employees’ job performance in the business sector of Pakistan. Global Journal of Management and Business Research, 11(6), 1–4.

  • Dar, L. A., Naseem, M. A., Rehman, R. U., & Niazi, G. S. (2011). Corporate governance and firm performance: A case study of Pakistan oil and gas companies listed in Karachi Stock Exchange. Global Journal of Management and Business Research, 11(8), 1–10.

  • Malik, M., Wan, D., Dar, L., Akbar, A., & Naseem, M. A. (2014). The role of work-life balance in job satisfaction and job benefit. Journal of Applied Business Research (JABR), 30(5), 1627–1638.

  • Dar, L. S., Aamir, M., Khan, Z., Bilal, M., Boonsatit, N., & Jirawattanapanit, A. (2022). Forecasting crude oil price volatility by reconstructing EEMD components using ARIMA and FFNN models. Frontiers in Energy Research, 10, 991602.

  • Dar, L. S., Aamir, M., Bibi, S., & Bilal, M. (2025). A novel robust adaptive decomposition approach for solar energy potential using atmospheric transparency and UV radiation indicators. Journal of Radiation Research and Applied Sciences, 18(4), 101946.

  • Dar, L. S., Aamir, M., Hamraz, M., Faiz, N., Emam, W., & Tashkandy, Y. (2025). A robust adaptive signal decomposition method for enhanced mode extraction in financial time series. IEEE Access.

  • Saleem, Q., Dar, L., Shahid, M., & Rana, S. (2012). A quantitative analysis of the role of human resource development in economic growth in Pakistan. International Journal of Management Sciences and Business Research.

  • Bilal, M., Aamir, M., Abdullah, S., Mahmood, N., Khalil, U., Khalid, N., Ahmed, M., & Dar, L. (2022). Assessment of the COVID-19 pandemic’s impact on gasoline prices in Pakistan. VFAST Transactions on Mathematics, 10(2), 52–67.

Shuo Jiang | Physics and Astronomy | Best Researcher Award

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Dr. Shuo Jiang | Physics and Astronomy | Best Researcher Award

Postdoctor at University of Chinese Academy of Sciences | China

Dr. Shuo Jiang is a distinguished physicist and postdoctoral researcher at the University of Chinese Academy of Sciences, recognized for his innovative contributions to the fields of non-Hermitian optics, micro nano photonics, and optical sensors. He earned his Laurea degree in Optoelectronic Information Science and Engineering from Qufu Normal University and completed his Ph.D. in Optics at Beihang University, where he conducted extensive research on advanced photonic systems. His academic journey reflects a strong commitment to exploring the interplay between light and matter, with a focus on developing next-generation optical devices and precision sensors. Dr. Shuo Jiang ’s research has resulted in 115 citations by 113 documents, 8 publications, and an h-index of 5, reflecting the scholarly impact and scientific relevance of his work. He has authored and coauthored several influential papers in internationally reputed journals such as Optics Letters, Applied Physics Letters, Journal of Applied Physics, Optics Express, Physical Review A, and the Journal of the Optical Society of America B. His studies contribute to the advancement of photonics, emphasizing innovative approaches to light manipulation, device miniaturization, and non-Hermitian system analysis. Dr. Shuo Jiang ’s collaborative research efforts extend across academic and industrial settings, promoting global scientific cooperation and the application of optical principles in technology-driven fields such as communications, sensing, and energy systems. His current projects involve investigating micro-nano photonic structures with high sensitivity and stability, bridging the gap between theoretical optics and experimental device engineering. As a dedicated researcher, he continues to pursue excellence in physics and astronomy, aspiring to advance scientific understanding and technological innovation in photonic engineering. With his growing academic footprint and dedication to interdisciplinary collaboration, Dr. Shuo Jiang exemplifies the next generation of researchers driving transformative progress in optical science. His consistent publication record, strong citation impact, and active engagement in collaborative projects establish him as a promising scientist with the potential to lead groundbreaking research in modern optics and photonics on a global scale.

Profile: Scopus

Featured Publications:

  • Jiang, S., Li, J., & Li, Z. (2024). Optics Letters, 49(14), 3954–3957.

  • Jiang, S., Li, J., & Li, Z. (2023). Applied Physics Letters, 123(20).

  • Jiang, S., Xiao, Z., & Li, W. (2022). Journal of Applied Physics, 131(10), 103106.

  • Jiang, S., Chang, X., & Li, W. (2019). Journal of the Optical Society of America B, 36(9), 2618–2623.

  • Jiang, S., Zhang, H., & Han, P. (2020). Journal of Applied Physics, 128(13).

  • Jiang, S., Han, P., & Zhou, Y. (2021). Optics Express, 29(19), 30436–30448.

  • Jiang, S. (2021). Mode Hopping Elimination Method of FMCW Lidar Based on Phase Splicing. Bandaoti Guangdian Semiconductor Optoelectronics.

Mohammad Karimi | Energy | Best Researcher Award

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Mr. Mohammad Karimi | Energy | Best Researcher Award 

Expert at University of Mohaghegh Ardabili | Iran

Mr. Mohammad Karimi is a highly accomplished researcher in the field of petroleum and energy engineering, recognized for his innovative contributions to the study of reservoir behavior, overburden pressure, and water block removal in oil wells. He holds a Bachelor’s and Master’s degree in Production and Drilling Engineering from Omidieh Petroleum University and is currently pursuing a Ph.D. in Chemical Engineering at the University of Mohaghegh Ardabili, Iran. Throughout his career, Karimi has combined strong theoretical knowledge with extensive field experience gained from working with major Iranian oil and gas companies, where he contributed to multiple industrial and academic projects aimed at improving oil recovery processes and energy system efficiency. His research focuses on developing new mathematical models and experimental methods to calculate overburden pressure, water block dynamics, and mutual solvent interactions in petroleum reservoirs. His publications in leading journals such as Elsevier’s Journal of Petroleum Science and Engineering, Journal of Molecular Liquids, Petroleum Chemistry, and International Journal of Petroleum Engineering reflect the high quality and international relevance of his work. He has presented his research at global conferences organized by professional bodies such as the European Association of Geoscientists and Engineers (EAGE) and has authored book chapters addressing formation damage and reservoir modeling. In recognition of his groundbreaking research, he received the World Championship in Production Engineering from the International Agency for Standards and Ratings and was credited with the invention of the milli-Karimi unit for acid expansion measurement in oil, gas, and water wells. He also serves as an outstanding reviewer for Elsevier’s Journal of Petroleum Science and Engineering, underscoring his professional excellence and contributions to peer-reviewed research. His current scholarly profile lists 2 citations by 2 documents, 2 published works, and an h-index of 1, highlighting a growing trajectory in academic visibility. With a commitment to advancing petroleum science and promoting sustainable energy solutions, Mr. Mohammad Karimi continues to bridge the gap between experimental research and industrial application, positioning himself as a rising expert capable of driving innovation in the global energy research community.

Profile: Scopus

Featured Publications:

  • Karimi, M. H., (2014). Highly compact co-poly(amide-imide)s from polycondensation of an imide-modified derivative of L-aspartic acid. E-Polymers, 14(6), 1–10.

  • Karimi, M. H., (2013). Equations to calculate the overburden pressure in water layers of definite dimensions using experimental, macroscopic, and microscopic data. Journal of Petroleum Science and Engineering, 101, 68–74. Elsevier.

Sergey Suchkov | Design driven Bioengineering | Best Keynote Speaker Award

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Prof. Sergey Suchkov | Design driven Bioengineering | Best Keynote Speaker Award 

Senior Researcher at N.D. Zelinskii Institute for Organic Chemistry | Russia

Prof. Sergey Suchkov is a distinguished medical scientist and academic leader specializing in immunology, clinical pathology, and personalized medicine, with a strong emphasis on design-driven bioengineering and translational research. He earned his MD from Astrakhan State Medical University and pursued his PhD in Medicine at Sechenov University, later achieving a Doctor of Sciences degree in immunology at the National Institute of Immunology. Over the course of his career, he has held significant academic and leadership positions across leading universities and research institutes, including directorships of clinical immunology centers and departments of personalized and precision medicine, where he contributed to shaping new models of biomedical education and practice. His international experience includes advanced training and research collaborations in the United States, Europe, and Asia, where he worked on the implementation of precision healthcare technologies and fostered global academic partnerships. Currently serving as Professor in Medicine and Immunology and Director of the Center for Biodesign at the N.D. Zelinskii Institute for Organic Chemistry, he is also actively engaged in advisory and research leadership roles within international biomedical organizations and innovation platforms. Prof. Sergey Suchkov ’s research interests span immunogenomics, predictive diagnostics, clinical pathology, and biodesign, with a particular focus on integrating engineering principles into healthcare systems to improve patient outcomes. He has published extensively in indexed journals, presented keynote lectures at global conferences, and contributed to editorial and professional societies, reflecting his influence in advancing biomedical research and education worldwide. As a member of numerous prestigious international associations, he continues to shape the discourse on personalized healthcare, translational biomedicine, and biomedical innovation. Recognized for his dedication to mentorship, scientific collaboration, and interdisciplinary leadership, Prof. Sergey Suchkov ’s work demonstrates a commitment to bridging fundamental science with clinical application. His career reflects a profound impact on the evolution of personalized medicine, and his ongoing efforts position him as a leading figure in bioengineering and immunology, committed to fostering innovation, advancing global health, and preparing future generations of researchers to address complex biomedical challenges.

Profile: Orcid | Linkedin

Featured Publications:

  1. Suchkov, S. (2025). Personalized nutrition in pediatric chronic diseases. Metabolites.

  2. Suchkov, S. (2025). Towards highly precise treatment and rehabilitation in practice of modern cardiologist, cardiac surgeon and cardiac rehabilitation professional. Russian Journal of Cardiology and Cardiovascular Surgery.

  3. Suchkov, S. (2025). On the path to personalized cardiology: prospects of precise assessment of cardiovascular risks and predictive-prognostic diagnostics. Russian Journal of Cardiology and Cardiovascular Surgery.

  4. Suchkov, S. (2017). Personalized medicine as an updated model of national health-care system. Part 1. Strategic aspects of infrastructure. Rossiyskiy Vestnik Perinatologii Pediatrii (Russian Bulletin of Perinatology and Pediatrics).

Baye Dagnew Mekonnon | Medicine and Dentistry | Best Researcher Award

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Dr. Baye Dagnew Mekonnon | Medicine and Dentistry | Best Researcher Award 

Doctor at Menzies institute for Medical Research | Australia

Dr. Baye Dagnew Mekonnon is a dedicated medical researcher and academic with expertise in epidemiology, public health, and chronic disease management, particularly focusing on sleep, pain, and quality of life in neurological and metabolic conditions. He earned his Ph.D. in Medical Studies (Epidemiology) from the University of Tasmania, Australia, where his thesis on “Sleep and Pain in Multiple Sclerosis” produced five original research contributions and advanced the understanding of symptom burden in people with multiple sclerosis. He also holds a Master of Science degree in Medical Physiology from Jimma University, Ethiopia, and a Bachelor of Science in Public Health from the University of Gondar. Over the course of his career, he has accumulated more than eight years of teaching, clinical, and research experience, serving as a lecturer, MSc supervisor, and internal examiner at the University of Gondar before joining the Menzies Institute for Medical Research in Australia. His professional journey includes active involvement in large-scale projects such as the Australian Multiple Sclerosis Longitudinal Study and global collaborations through the Global Burden of Disease initiative. Dr. Baye Dagnew Mekonnon has authored over 70 peer-reviewed publications in reputable journals, contributing significantly to the fields of epidemiology, neurology, sleep research, and chronic disease epidemiology, with his work widely cited in international literature. His methodological expertise spans survey design, advanced statistical modeling, longitudinal and mixed-methods research, and data analysis using multiple software platforms, alongside substantial experience in ethics applications and governance. His research interests lie in exploring the intersections between sleep, pain, comorbidities, and mental health in chronic disease populations, with an emphasis on translating evidence into patient-centered interventions and health policies. In addition, he has engaged in research translation projects, including the development of educational resources for people with multiple sclerosis, while also presenting his work at national and international conferences. Dr. Baye Dagnew Mekonnon’s scholarship demonstrates a strong balance of academic rigor, innovation, and community relevance, underpinned by a collaborative and impact-driven approach. With his proven research excellence, teaching experience, and international collaborations, he is poised to continue making influential contributions to global health research, advancing understanding of complex chronic conditions, and shaping the future of epidemiological studies worldwide.

Profile: Google Scholar

Featured Publications:

  • Dagnew, B. (2020). Global burden of cardiovascular diseases and risk factors, 1990–2019: update from the GBD 2019 study. Journal of the American College of Cardiology, Cited by: 11,252.

  • Dagnew, B. (2021). Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, Cited by: 3,050.

  • Dagnew, B. (2021). Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study. The Lancet Global Health, Cited by: 1,104.

  • Dagnew, B. (2021). Hearing loss prevalence and years lived with disability,findings from the Global Burden of Disease Study 2019. The Lancet, Cited by: 1,051.

  • Dagnew, B. (2020). The burden of unintentional drowning: global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study. Injury Prevention, 26, Cited by: 268.

  • Dagnew, B. (2021). Global, regional, and national burden of respiratory tract cancers and associated risk factors from 1990 to 2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Respiratory Medicine, Cited by: 218.

  • Dagnew, B. (2021). Measuring routine childhood vaccination coverage in 204 countries and territories, a systematic analysis for the Global Burden of Disease Study 2020, Release 1. The Lancet, Cited by: 188.