Mahmoud Soufbaf | Gamma irradiation | Member

Assist Prof Dr. Mahmoud Soufbaf | Gamma irradiation | Member

Academic staff at Agricultural, Medical and Industrial Research school, Karaj, Iran

Mahmoud Soufbaf Sarjami, born on January 12, 1978, in Iran, is an accomplished academic and researcher specializing in entomology and applied mathematics. With a diverse educational background spanning from plant protection to mathematics, Mahmoud has made significant contributions to the field, particularly in insect behavior and population dynamics. Currently serving as academic staff at the Agricultural, Medical, and Industrial Research school in Karaj, Iran, Mahmoud is renowned for his expertise in mathematical analyses and sterile insect technique (SIT). His research interests include dynamical systems and their application in biological contexts. He is also dedicated to mentoring and guiding students in their academic pursuits.

Professional Profiles:

Education

B.S in Plant Protection, Isfahan University of Technology, Isfahan, Iran, 2001 M.Sc in Entomology, Mohaghegh Ardabili University, Ardabil, Iran, 2008 PhD in Entomology, Tarbiat Modarres University, Tehran, Iran, 2011 B.Sc in Mathematics, Payame Nour University, Karaj, 2018 M.Sc in Applied Mathematics, Tehran University, 2021

Professional Qualifications

Mathematical analyses using Matlab and Mathematica Statistical analyses using SAS, SPSS, and Minitab Insect rearing on natural and artificial diets Sterile Insect Technique (SIT) Planning and constructing insectaries Entomological experiments planning Windows skills, MS Office (Word, Excel, Power Point), Latex

Academic qualifications

A Review on Trichogramma wasps rearing methods in insectariums. B.S. project. Pheromone release behavior of the carob moth, Ectomyelois ceratoniae, under laboratory and field conditions. (M.Sc thesis in Entomology). Modeling and analysis of tritrophic interactions in canola-Plutella xylostella-parasitoid system. (PhD thesis in Entomology). Modeling obesity in Iranian teenagers using artificial neural networks. (B.S. project in Mathematics) Analysis of Competition Term in Lotka-Volterra Model. (M.Sc thesis in Mathematics)

Research interest

Multiple time scale dynamical systems Bifurcation theory in biological dynamical systems Ergodic theory Mathematical & Physical aspects of Sterile Insect Technique

Research Focus:

Mahmoud Soufbaf Sarjami’s research focuses primarily on the ecological dynamics of insect populations, particularly in agricultural settings. His work encompasses a wide range of topics, including the effects of different host plants on the life cycle and mortality patterns of insect pests like the diamondback moth. He investigates the intricate relationships between plants, insects, and parasitoids, exploring how factors like plant availability and habitat size influence population dynamics. Additionally, Mahmoud delves into the role of plant-insect interactions in greenhouse environments, studying phenomena such as insect feeding modes and plant interference. His research contributes significantly to understanding and managing insect pest populations in agricultural ecosystems.

Publications 

  1. Bottom-Up Effect of Different Host Plants on Plutella xylostella (Lepidoptera: Plutellidae): A Life-Table Study on Canola,Publication date: 2010.
  2. Inhibitory effects of cold atmospheric plasma on population growth of the carob moth, Ectomyelois ceratoniae (Lepidoptera: Pyralidae) in laboratory, Publication date: 2023.
  3. Does dose rate compensate low doses of gamma irradiation towards insect and mite pest sterilization?Publication date: 2023.
  4. Dynamics of Performances in a Competitive Model, Publication date: 2022.
  5. Finish line plant–insect interactions mediated by insect feeding mode and plant interference: a case study of Brassica interactions with diamondback moth and turnip aphidPublication date: 2017.
  6. Artificial Diversity of Plant–Insect Communities and Modern Crop Stoichiometry in Small Closed Patches in Greenhouse, Publication date: 2017.
  7. Effects of plant availability on population size and dynamics of an insect community: diamondback moth and two of its parasitoids, Publication date: 2014.
  8. Effects of plant availability and habitat size on the coexistence of two competing parasitoids in a tri-trophic food web of canola, diamondback moth and parasitic wasps, Publication date: 2012.
  9. Development and Age-Specific Mortality of Diamondback Moth on Brassica Host Plants: Pattern and Causes of Mortality Under Laboratory Conditions, Publication date: 2010.

 

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Morad EL Kafhali | Radiotherapy | Member

Dr. Morad EL Kafhali | Radiotherapy | Member

Faculty of sciences of medicine at University of Moulay Ismail, Morocco

Morad El Kafhali, a Moroccan doctoral student, embarked on his academic journey in 2022/2023. With a multidisciplinary background spanning mathematics, physics, chemistry, geology, and biology, his research focuses on optimizing and ensuring quality in external radiotherapy plans. Under the guidance of Pr. Khalis Mohammed, Morad aims to validate Monte Carlo simulation results clinically and employ artificial intelligence for precise treatment control. His dedication extends beyond research, as evidenced by his publications, diverse training experiences, and mentorship roles in medical physics. Morad’s commitment to advancing radiation therapy showcases his interdisciplinary prowess and passion for scientific innovation.

Professional Profiles:

Formation Doctorale

Domaines: Mathématiques: Théories et Applications Informatique et Science de l’Information Physique: Sciences Physiques et Ingénieries Chimie: Matériaux, Ingénieries Moléculaires et Environnement Géologie: Géosciences Fondamentales et Appliquées Biologie: Sciences Biologiques et Applications Titre de la thèse: Optimisation et assurance qualité des plans complexes de la radiothérapie externe par la modélisation radio-biologique et la simulation Monte Carlo Directeur de Thèse: Pr. KHALIS MOHAMMED

Méthodologie et Approches

Sélection des logiciels appropriés de simulation: Geant4-Gate (CERN) EGSnrc (code en C++ et Python3) matRad(DPM/VMC) PRIMO (PENLOPE DPM) Maîtrise de Matlab/Octave et autres logiciels scientifiques pour l’analyse des données de simulation. Acquisition et étude de la littérature pertinente. Compréhension de la physique informatique et numérique médicale. Rédaction et publication d’articles scientifiques.

Publications

Article intitulé « Clinical experiment on quality control comparison of complex treatment plans of the VMAT technique using a diode-based cylindrical phantom (ArcCHECK) and an amorphous silicon-based planar detector (A-Sil1000) » publié dans le journal Physics in Medicine (Q1 indexé Scopus, Elsevier).

Encadrements et Activités

Encadrement des étudiantes en Master physique et technologie des rayonnements PTR. Encadrement des étudiantes en Master Techniques des rayonnements en physique médicale. Représentation du Maroc et de la Faculté des Sciences de Meknès à l’événement mondial CERN Particle Therapy MasterClass: International Day of Women and Girls in Science. Encadrement du projet de recherche sur la dosimétrie des radiations.

Research Focus:

Morad El Kafhali, listed as the lead author in the publication “Clinical experiment on quality control comparison of complex treatment plans of the VMAT technique using a diode-based cylindrical phantom (ArcCHECK) and an amorphous silicon” in Physics in Medicine, showcases his expertise in medical physics and radiation therapy. This research highlights his focus on quality assurance and optimization techniques in radiotherapy, particularly in assessing the effectiveness of treatment plans using advanced technologies like the VMAT technique. Through this work, Morad demonstrates his dedication to enhancing the precision and safety of cancer treatment, contributing significantly to the field of medical physics and oncology.

Publications 

  1. Clinical experiment on quality control comparison of complex treatment plans of the VMAT technique using a diode-based cylindrical phantom (ArcCHECK) and an amorphous silicon …, cited by: 2, Publication date: 2021.

 

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