Afsaneh Heydari | Horticulture | Best Researcher Award

Dr. Afsaneh Heydari | Horticulture | Best Researcher Award

Researcher at Shiraz University | Iran

Dr. Afsaneh Heydari is a dedicated researcher at Shiraz University whose work focuses on agricultural meteorology, climate variability, and the hydro-environmental systems of arid and semi-arid regions. Her research explores the interconnections between the Middle East and the West Indian Subcontinent in the context of climate change, particularly examining the modulation roles of the Atlantic Meridional Oscillation (AMO) and monsoon cloud dynamics. Through advanced statistical and computational modeling, she has provided valuable insights into spatial disparities in climate trends and their implications for regional agriculture and water management. Her collaborative research, published in high-impact journals such as Climate (MDPI), demonstrates strong analytical rigor and contributes meaningfully to understanding climate-driven challenges affecting food and water security. Dr. Heydari’s work bridges hydrology, climatology, and sustainable resource management—making her a deserving candidate for the Best Researcher Award for her innovative contributions to advancing scientific knowledge in climate change impacts and adaptation strategies within horticultural and agricultural ecosystems.

Profile : Scopus

Featured Publications

All-optical XOR, XNOR, NAND and OR logic gates based on photonic crystal 3-DB coupler for BPSK signals. Journal of Optical Communications.

Application of UV/Vis spectrophotometry based on using least squares support vector machine and continuous wavelet transform methods for the simultaneous analysis of antibiotics drugs in tablet formulation: Comparison with HPLC method.

Heydari, A., Nazemosadat, M. J., & Hosseinzadehtalaei, P. Climate change in the Middle East and the West Indian Subcontinent: Geographic interconnections and the modulation roles of the extreme phases of the Atlantic Meridional Oscillation (AMO) and the monsoon cloudiness. Climate.

Seyed Mohammad Jafar Nazemosadat | Ecology | Best Researcher Award

Prof. Seyed Mohammad Jafar Nazemosadat | Ecology | Best Researcher Award

Academic at Shiraz University | Iran

Prof. Seyed Mohammad Jafar Nazemosadat is a distinguished climatologist and agro-meteorologist whose pioneering research has significantly advanced the understanding of climate dynamics in the Middle East. His work has illuminated the complex interactions between oceanic, atmospheric, and terrestrial systems, particularly emphasizing how phenomena such as ENSO, the Madden–Julian Oscillation (MJO), and the Atlantic Meridional Oscillation (AMO) influence precipitation and temperature variability across Iran and neighboring regions. He has led extensive studies on climate change impacts, drought forecasting, and land-use dynamics, integrating remote sensing and satellite-based data analysis into agricultural meteorology. His seminal contribution established the first proven linkage between Iran’s precipitation patterns and ENSO—a breakthrough that reshaped regional climate modeling approaches. As founder of the Oceanic and Atmospheric Research Centre at Shiraz University, he has fostered interdisciplinary research on satellite-based climate monitoring. With over 40 English-indexed journal publications, 55 Persian papers, and 100 conference contributions, Prof. Nazemosadat’s work has had enduring influence on sustainable water and land management strategies in arid and semi-arid ecosystems. His scholarly impact and leadership exemplify excellence in ecological and atmospheric research, positioning him as a deserving candidate for the Best Researcher Award.

Profile : Google Scholar | ORCID

Featured Publications

Nazemosadat, M. J., & Cordery, I. (2000). On the relationships between ENSO and autumn rainfall in Iran. International Journal of Climatology: A Journal of the Royal Meteorological Society, 20(6), 206–214.

Nazemosadat, M. J., & Ghasemi, A. R. (2004). Quantifying the ENSO-related shifts in the intensity and probability of drought and wet periods in Iran. Journal of Climate, 17(20), 4005–4018.

Danandeh Mehr, A., Kahya, E., Şahin, A., & Nazemosadat, M. J. (2015). Successive-station monthly streamflow prediction using different artificial neural network algorithms. International Journal of Environmental Science and Technology, 12(7), 2191–2200.

Nazem, A. S. M. J., Samani, N., Barry, D. A., & Moulaei, N. M. (2006). ENSO forcing on climate change in Iran: Precipitation analysis. Iranian Journal of Science and Technology, Transaction B: Engineering, 30(4), 96–105.*

Shirvani, A., Nazemosadat, S. M. J., & Kahya, E. (2015). Analyses of the Persian Gulf sea surface temperature: Prediction and detection of climate change signals. Arabian Journal of Geosciences, 8(4), 2121–2130.*