laiba Sultan Dar | Time series analysis | Best Researcher Award

Posted on by Phenomenological Research Awards

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

Posted on by Phenomenological Research Awards

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.