Dr. Khadijah Dashti | Biomedical and Healthcare Applications | Best Researcher Award

Dr. Khadijah Dashti | Biomedical and Healthcare Applications | Best Researcher Award

Doctorate at Kuwait University | Kuwait

Dr. Khadijah Mohammed Dashti is a distinguished academic and researcher in the field of Medical Microbiology and Antimicrobial Agents. She currently serves as an Assistant Professor at the Faculty of Allied Health Sciences, Kuwait University, where she has been a faculty member since 2023. With extensive expertise in microbial diseases and innovative approaches to antibiotic discovery, Dr. Dashti is a leading figure in her field.

Professional Profile

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🎓Academic Qualifications 

Dr. Khadijah Mohammed Dashti holds a rich academic background in Medical Laboratory Sciences and Biomedical Sciences. She completed her Bachelor’s Degree (B.Sc.) in Medical Laboratory Sciences at Kuwait University in 2011, where her research project investigated “The prevalence of plasmid-mediated quinolone resistance in clinical isolates of Escherichia coli in Kuwait.”Her academic journey continued with two Master’s Degrees (M.Sc.). The first, in Biomedical Sciences, was awarded by the University of Westminster in 2015, with her thesis focusing on “The effect of heavy metals on biofilm formed by Pseudomonas aeruginosa.” The second, in Medical Laboratory Sciences, was earned at Kuwait University in 2016, and her thesis explored “The Prevalence of Multidrug-resistant Acinetobacter baumannii in Kuwait and Typing of the Isolates by MLST.”

Dr. Dashti achieved her Ph.D. in Microbial Diseases and Antimicrobial Agents from University College London in 2023. Her doctoral research, titled “Natural Antibiotic Discovery,” reflects her profound dedication to finding innovative solutions to combat antimicrobial resistance.

🧪Academic Experience and Achievements 

Dr. Dashti has been actively involved in academic mentorship, having supervised four B.Sc. student projects since 2023. These projects explored diverse topics such as the antibacterial potential of colistin-resistant Escherichia coli, the use of garlic and essential oils in combating resistance, and the discovery of novel antibacterials by mining Pseudomonas aeruginosa genomes. Her guidance and expertise have fostered critical research in microbial sciences.She has also attended and benefited from workshops such as the Bioinformatics course and the How to Write a Good Dissertation/Thesis session, both presented by Prof. Sebastian Amyes at Kuwait University, further enhancing her academic and mentorship capabilities.

🔬Research Interests 

Dr. Dashti’s research interests center on understanding and combating pathogenic microorganisms and antibiotic resistance. She investigates the mechanisms of drug resistance in critical pathogens such as Staphylococci/MRSA and ESKAPE pathogens, aiming to develop novel antibacterial methods. Her work also delves into understanding host-bacteria interactions, focusing on their dynamics in health and disease. A key area of her current research is the identification of new sources of antibiotic-producing bacteria to address global challenges in infectious disease treatment.

🌍Memberships and Affiliations 

A dedicated professional, Dr. Dashti is an active member of the Society for Applied Microbiology (SfAM) and the Microbiology Society, maintaining her affiliation with both organizations since 2016.

🧠Skills and Expertise 

Dr. Dashti possesses advanced skills in bioinformatics, antimicrobial resistance, and microbial pathogenicity. Her strong expertise in antibiotic discovery and development of novel antibacterial techniques underscores her commitment to addressing infectious diseases. Furthermore, her proficiency in academic supervision, research project guidance, and publication of high-quality research demonstrates her multifaceted expertise in microbial sciences.Dr. Khadijah Mohammed Dashti’s significant contributions to antimicrobial research and her dedication to mentoring future scientists make her an inspiring figure in the field of microbiology.

Publications Top Noted📚

Genetic landscape and clinical outcomes of autosomal recessive polycystic kidney disease in Kuwait

Authors: Alhaddad, M.E., Mohammad, A., Dashti, K.M., Al-Ali, M., Ali, H.
Journal: Heliyon
Year: 2024

Diversity of multi-drug resistant Acinetobacter baumannii population in a major hospital in Kuwait

Authors: Vali, L., Dashti, K., Opazo-Capurro, A.F., Al Obaid, K., Evans, B.A.
Journal: Frontiers in Microbiology
Year: 2015

Mr. Dimos Dimitrios Plakotaris | Biomedical | Best Researcher Award

Mr. Dimos Dimitrios Plakotaris | Biomedical | Best Researcher Award

Dimos Dimitrios Plakotaris at Aristotle University of Thessaloniki , Greece

Profile

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📋 Summary

Mr. Dimos Dimitrios Plakotaris is a newly graduated Mechanical Engineer specializing in the energy sector. With a keen interest in integrating artificial intelligence and machine learning into engineering, Dimos aims to enhance his academic and practical skills to develop innovative solutions in engineering projects.

Education

Mr. Dimos earned his Diploma in Mechanical Engineering from the Polytechnic School of Aristotle University of Thessaloniki in April 2024, with a focus on Energy. He graduated with a grade of 6.6 (Very Good). Prior to this, he completed his secondary education at 1st Lyceum of Mitilini, achieving an impressive graduation grade of 19.0/20.0.

💼 Work Experience

  • July 2021 – Aug 2021: Citrus Museum at Kambos Chios and cohousing café Perivoli
  • July 2020 – Aug 2020: Citrus Museum at Kambos Chios and cohousing café Perivoli

💻 Software Skills

  • Matlab: Intermediate level
  • Python: Intermediate level
  • AutoCAD: Advanced level
  • MS Office

🔬 Research Experience

Mr. Dimos Dimitrios Plakotaris conducted his diploma thesis titled “Recording, Analyzing, Mapping, and Modeling Air Quality Levels Using Low-Cost Sensors on Pedestrian Routes in the Urban Center of Thessaloniki” under the supervision of Professor K. Karatzas. This project involved data collection using low-cost sensors, data analysis and modeling in Python, prediction and data reconstruction with machine learning, and the design and execution of the experiment. This work culminated in the publication of the paper “Estimation of Particulate Matter Levels in City Center Pedestrian Routes with the Aid of Low-Cost Sensors” in the journal Atmosphere (2024).

 

Publications

Estimation of Particulate Matter Levels in City Center Pedestrian Routes with the Aid of Low-Cost Sensors

  • Authors: Dimos Dimitrios Plakotaris, Theodosios Kassandros, Evangelos Bagkis, Kostas Karatzas
  • Journal: Atmosphere
  • Year: 2024