laiba Sultan Dar | Time series analysis | Best Researcher Award

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.

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.

Mohammad Hossen | Material Physics | Best Researcher Award

Mohammad Hossen | Material Physics | Best Researcher Award

Professor at Chittagong University of Engineering and Technology, Bangladesh, 

Mohammad Hossen is an accomplished researcher with a strong foundation in chemical engineering and energy systems. His academic and professional journey reflects a commitment to advancing sustainable technologies, particularly in the renewable energy sector. With a solid background in both theoretical and practical aspects of engineering, Hossen has contributed to the fields of bioethanol production and photocatalytic processes. His work has garnered recognition in various scientific forums, making him a respected voice in energy research. Currently, Hossen focuses on developing innovative solutions to global energy challenges, emphasizing sustainable practices and cutting-edge technology in his research and teaching.

📚 Profile

Scopus

🎓 Education

Mohammad Hossen earned his B.Sc. in Chemical Engineering from Sharif University of Technology, laying a strong foundation in engineering principles. He furthered his education with an M.Sc. in Energy Engineering from Heriot-Watt University, where he delved deeper into energy systems and sustainability. His academic journey culminated in a Ph.D. in Chemical Engineering from the University of Cape Town in 2019, where his research focused on advanced catalytic processes for renewable energy. Hossen’s education is a blend of rigorous technical training and research, equipping him with the skills to address complex energy challenges through innovative engineering solutions.

💼 Experience

With extensive experience in academia and industry, Mohammad Hossen has developed a diverse skill set. He has worked in the oil industry, gaining practical insights into large-scale energy systems, and contributed to various research projects in renewable energy and catalysis. In academia, Hossen has taught chemical engineering courses and supervised student projects, blending theory with practical applications. His postdoctoral work at the Catalysis Institute, University of Cape Town, allows him to explore innovative solutions in bioethanol production and photocatalytic processes, further solidifying his role as an expert in sustainable energy technologies.

🔬 Research Interests

Mohammad Hossen’s research interests lie at the intersection of chemical engineering and sustainable energy. His focus areas include renewable energy technologies, particularly bioethanol production and photocatalytic processes for environmental remediation. Hossen is deeply invested in developing energy-efficient and environmentally friendly processes to address global energy needs. His work explores innovative catalytic materials and processes that can optimize energy production while reducing carbon emissions. By integrating experimental research with advanced computational techniques, Hossen aims to contribute to a cleaner and more sustainable energy future.

🏆 Awards and Honors

Throughout his career, Mohammad Hossen has received numerous awards in recognition of his contributions to chemical engineering and renewable energy research. His work on bioethanol production and catalytic processes has been published in several peer-reviewed journals, earning him accolades from scientific communities. He has been invited to present his research at international conferences and has received funding grants to support his innovative projects. His achievements reflect not only his dedication to advancing energy technologies but also his ability to lead impactful research initiatives that push the boundaries of sustainable engineering.

🔚 Conclusion

 Dr. Hossen’s strong academic background, numerous research publications, leadership in student supervision, and proficiency in advanced experimental techniques make him a suitable candidate for the Best Researcher Award. His contributions to material science, particularly in nanotechnology and ferrites, stand out, making a significant impact in both academia and practical applications.

Publications Top Notes 📚

Title: Effect of gamma and neutron irradiations on the physical, magnetic and electrical properties of Ni–Cu–Cd nano-ferrites
Authors: Salauddin, M., Mahmood, M.F., Islam, M.A., Hossen, M.B.
Year: 2025
Citation: Radiation Physics and Chemistry, 226, 112254

Title: Heavy metal analysis of water and sediments of the Kaptai Lake in Bangladesh: Contamination and concomitant health risk assessment
Authors: Das, B., Islam, M.A., Tamim, U., Ahmed, F.T., Hossen, M.B.
Year: 2024
Citation: Applied Radiation and Isotopes, 210, 111358

Title: 210Pb dating and neutron activation analysis of the Sundarban mangrove sediments: Sedimentation rate and metal contamination history
Authors: Islam, M.A., Kabir, S., Lubis, A.A., Islam, M.M., Hossen, M.B.
Year: 2024
Citation: Radiochimica Acta, 112(4), pp. 273–287

Title: Experimental investigation on structural, dielectric and magnetic properties for Ni0.5Cu0.2Cd0.3LaxFe2-xO4 dense ceramics materials with theoretical fitting judgements
Authors: Mahmood, M.F., Hossen, M.B.
Year: 2024
Citation: Emergent Materials, Article in Press

Title: Elemental characterization of medicinal plants of the Sundarban by INAA and AAS techniques: health risk assessments and statistical analysis
Authors: Kabir, S., Islam, M.A., Hossen, M.B.
Year: 2023
Citation: Journal of Radioanalytical and Nuclear Chemistry, 332(9), pp. 3687–3696

Title: Oblique dust-ion acoustic shock and oscillatory periodic wave excitations in space magnetized complex plasma regimes
Authors: Uddin, M.G., Hafez, M.G., Hossen, M.B.
Year: 2023
Citation: AIP Advances, 13(7), 075225

Title: Radiation-induced structural and electric properties of Al-substituted NiCuCd nanoparticles
Authors: Sharma, B., Hossen, M.B.
Year: 2022
Citation: Journal of Materials Science: Materials in Electronics, 33(24), pp. 19036–19056

Title: Structural, dielectric, and electrical transport properties of Al3+ substituted nanocrystalline Ni-Cu spinel ferrites prepared through the sol–gel route
Authors: Rahman, M.M., Hasan, N., Hoque, M.A., Hossen, M.B., Arifuzzaman, M.
Year: 2022
Citation: Results in Physics, 38, 105610

Title: Dynamics of complex impedance, dielectric and electric modulus for NiCuZn ferrites with theoretical justification
Authors: Mahmood, M.F., Hossen, M.B.
Year: 2022
Citation: International Nano Letters, 12(2), pp. 179–190

Title: Dynamic electric, dielectric, impedance, and modulus spectroscopy study with Rietveld refinement of Al-substituted NiCuZn bulk ceramics
Authors: Eman, N.M., Maruf, H.M.A.R., Ullah, M.R., Shirin, N.J., Hossen, M.B.
Year: 2022
Citation: Journal of Materials Science: Materials in Electronics, 33(4), pp. 1752–1773