Mr. Mohsen Saroughi | Machine Learning | Best Scholar Award

Researcher | university of tehran | Iran

Mohsen Saroughi is an accomplished water resource management professional with a passion for research and innovation. With expertise in machine learning, groundwater modeling, and hydrology, Mohsen has established himself as a leading figure in applying artificial intelligence and optimization techniques to water resource challenges.

Profile

Google scholar

Education 🎓

  • Master’s in Water Resource Management (2018–2021): University of Tehran, Tehran, Iran (CGPA: 3.5/4)
  • Bachelor’s in Water Engineering (2014–2018): University of Bu-Ali Sina, Hamedan, Iran (CGPA: 3.1/4)

Experience 💼

Mohsen has served as a teaching assistant and research mentor, guiding students on projects in hydrology and groundwater management. His professional experience includes roles as a language editor, GIS consultant, and intern, where he demonstrated expertise in modeling, remote sensing, and IT solutions.

Research Interests 🔬

Mohsen’s research spans groundwater management, machine learning, climate change, and systems dynamics. He excels in applying artificial intelligence to water resource optimization and hydrological modeling.

Publications 📚

“A novel hybrid algorithms for groundwater level prediction”

  • Authors: M Saroughi, E Mirzania, DK Vishwakarma, S Nivesh, KC Panda, …
  • Journal: Iranian Journal of Science and Technology, Transactions of Civil Engineering
  • Year: 2023
  • Citations: 31

“Hybrid COOT-ANN: a novel optimization algorithm for prediction of daily crop reference evapotranspiration in Australia”

  • Authors: E Mirzania, MH Kashani, G Golmohammadi, OR Ibrahim, M Saroughi
  • Journal: Theoretical and Applied Climatology 154 (1), 201-218
  • Year: 2023
  • Citations: 7

“Shannon entropy of performance metrics to choose the best novel hybrid algorithm to predict groundwater level (case study: Tabriz plain, Iran)”

  • Authors: M Saroughi, E Mirzania, M Achite, OM Katipoğlu, M Ehteram
  • Journal: Environmental Monitoring and Assessment 196 (3), 227
  • Year: 2024
  • Citations: 5

“Prediction of monthly groundwater level using a new hybrid intelligent approach in the Tabriz plain, Iran”

  • Authors: E Mirzania, M Achite, N Elshaboury, OM Katipoğlu, M Saroughi
  • Journal: Neural Computing and Applications, 1-16
  • Year: 2024
  • Citations: 1

“Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar …”

  • Authors: M Saroughi, E Mirzania, M Achite, OM Katipoğlu, N Al-Ansari, …
  • Journal: Heliyon 10 (7)
  • Year: 2024
  • Citations: 0

Awards 🏆

  • Ranked 1% in Official Judicial Experts Water Exam (2024)
  • 6th in Iranian University Entrance Master Exam (2018)
  • 2nd in Provincial Chemistry Competition (2012)

Conclusion 🌍

Mohsen Saroughi is a highly competent and accomplished researcher with strengths in advanced modeling, machine learning applications, and groundwater management. His technical expertise, leadership in mentoring students, and significant contributions to both academic literature and practical tools position him as a strong candidate for the Best Researcher Award. To further enhance his impact, expanding his international collaborations and engaging in projects that directly affect societal challenges could bolster his already impressive academic and professional trajectory.

Mohsen Saroughi | Machine Learning | Best Scholar Award

You May Also Like