Prof. Mohammad Zounemat-Kermani, Organic Chemistry, Best Researcher Award

Prof. Mohammad Zounemat-Kermani, Organic Chemistry, Best Researcher Award

Professor at Shahid Bahonar University of Kerman, Iran

Profiles

Scopus

Orcid

Google Scholar

๐ŸŽ“Education

PhD in Civil-Water Engineering (Oct 2004 – Sep 2010)
Civil Engineering Department, K.N. Toosi University of Technology (KNTU), Tehran, Iran

MSc in Civil-Water Engineering (Hydraulics Engineering) (Oct 2002 – Sep 2004)
Civil Engineering Department, K.N. Toosi University of Technology (KNTU), Tehran, Iran

BSc in Irrigation Engineering (Oct 1998 – Sep 2002)
Water Engineering Department, Shahid Bahonar University of Kerman (SBUK), Kerman, Iran

๐Ÿ‘จโ€๐ŸซProfessional Experience

Teaching Experience: 17 years at national universities, covering over 20 subjects in undergraduate and postgraduate water sciences courses.

Thesis Supervision: Supervised more than 60 M.Sc. theses and 4 Ph.D. theses, advising over 30 M.Sc. and Ph.D. students.

Editorial & Conference Roles: Editorial Board member for the Journal of Hydraulic Structures (JHS); Chair for multiple national conferences on irrigation and evaporation reduction.

๐Ÿ”ฌResearch Interests

Machine Learning & Data Mining ๐Ÿ“Š

Computational Intelligence in Water Engineering ๐Ÿ’ก

Water Resources Management ๐Ÿ’ง

Environmental Sciences ๐ŸŒ

Hydroinformatics ๐ŸŒ

Computational Hydraulics & CFD ๐ŸŒ€

๐Ÿ†Awards & Accomplishments

World’s Top 2% Scientists (Stanford University Scientist Ranking) 2020-2023 ๐ŸŒŸ

Georg Forster Research Fellowship (2019-2020) ๐Ÿ†

Top Researcher at SBUK University (2023) ๐Ÿฅ‡

Top Scholar in Kerman Province (2018, 2021) ๐Ÿ“œ

Publications๐Ÿ“

Artificial Intelligence-Based Model for Optimal Conjunctive Operation of Surface and Groundwater Resources

Authors: S. Akbarifard, M.R. Madadi, M. Zounemat-Kermani

Journal: Nature Communications

Year: 2024

Stochastic (S[ARIMA]), Shallow (NARnet, NAR-GMDH, OS-ELM), and Deep Learning (LSTM, Stacked-LSTM, CNN-GRU) Models, Application to River Flow Forecasting

Authors: M. Kheimi, M. Almadani, M. Zounemat-Kermani

Journal: Acta Geophysica

Year: 2024

Predicting Microbiologically Influenced Concrete Corrosion in Self-Cleansing Sewers Using Meta-Learning Techniques

Authors: M. Zounemat-Kermani, A. Aldallal

Journal: Corrosion

Year: 2024

Exploitation of the Ensemble-Based Machine Learning Strategies to Elevate the Precision of CORDEX Regional Simulations in Precipitation Projection

Authors: A. Ghaemi, S.A. Hashemi Monfared, A. Bahrpeyma, P. Mahmoudi, M. Zounemat-Kermani

Journal: Earth Science Informatics

Year: 2024

Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis

Authors: A. Mahdavi-Meymand, W. Sulisz, M. Zounemat-Kermani

Journal: Archives of Computational Methods in Engineering

Year: 2024

Spatiotemporal Variation of Projected Drought Characteristics in Iran Under Climate Change Scenarios Using CMIP5-CORDEX Product

Authors: A. Ghaemi, S.A.H. Monfared, A. Bahrpeyma, P. Mahmoudi, M. Zounemat-Kermani

Journal: Journal of Water and Climate Change

Year: 2024

 

Prof. Armando Zarrelli, Organic Chemistry, Best Researcher Award

Prof. Armando Zarrelli, Organic Chemistry, Best Researcher Award

Professor at University of Naples “Federico II”, Italy

Profiles

Scopus

Orcid

Summary ๐ŸŒŸ

  • Prof. Armando Zarrelli is a distinguished Professor of Organic Chemistry at the University Federico II of Naples. His extensive research has led to significant contributions in the field of organic chemistry, particularly through collaborative projects and innovative research. Prof. Zarrelli has authored multiple patents, published extensively in high-impact journals, and serves on the editorial boards of several prestigious scientific publications.

 

Education ๐ŸŽ“

  • Chemical Sciences, University Federico II of Naples, 1994

Professional Experience ๐Ÿ…

  • Professor of Organic Chemistry, University Federico II of Naples
  • Invited Guest, Blaise Pascal University of Clermont-Ferrand
  • Editorial Board Member for journals indexed in Scopus and WOS
  • Guest Editor of 7 Special Issues on Scopus and WOS indexed journals
  • Tutor for numerous experimental theses (Italian and foreign)

Research Interests ๐Ÿ”ฌ

Prof. Zarrelli’s research focuses on:

  1. Synthesis & Chemical Characterization ๐Ÿงช: Modified flavonolignans with antiviral, anticarcinogenic, and neuroprotective properties.
  2. Xenobiotic Transformations ๐ŸŒ: Study of drug transformations under environmental conditions.
  3. Secondary Metabolites Analysis ๐Ÿ”: Qualitative and quantitative analysis of natural extracts.
  4. Solid-Phase Synthesis ๐Ÿงฌ: Development of new oligonucleotides with anti-HIV activity.

Publications๐Ÿ“

Unveiling the potential of Pseudococcomyxa simplex: a stepwise extraction for cosmetic applications

Authors: Imbimbo, P., Giustino, E., Ferrara, A., Zarrelli, A., Monti, D.M.

Journal: Applied Microbiology and Biotechnology

Year: 2024

Percarbonate mediated advanced oxidation of irbesartan: A suitable alternative to chlorination?

Authors: Medici, A., Siciliano, A., Libralato, G., Di Fabio, G., Zarrelli, A.

Journal: Science of the Total Environment

Year: 2024

Efficient Nimesulide degradation via chlorination and sun-simulated radiation: Kinetic insights, reactive species formation, and application to real wastewater

Authors: Medici, A., Sarakha, M., Di Fabio, G., Brigante, M., Zarrelli, A.

Journal: Journal of Environmental Chemical Engineering

Year: 2024

Tackling Losartan Contamination: The Promise of Peroxymonosulfate/Fe(II) Advanced Oxidation Processes

Authors: Medici, A., Luongo, G., Pedatella, S., Di Fabio, G., Zarrelli, A.

Journal: Molecules

Year: 2024

7-O-tyrosyl Silybin Derivatives as a Novel Set of Anti-Prostate Cancer Compounds

Authors: Romanucci, V., Pagano, R., Kandhari, K., Agarwal, R., Di Fabio, G.

Journal: Antioxidants

Year: 2024