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

Scopus

🎓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

Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

Prof Dr. Jong-Chen Chen | Robotic Rehabilitation | Best Researcher Award

Jong-Chen Chen at National Yunlin University of Science and Technology, Taiwan

Profiles

Scopus

Orcid

Summary

Prof. Dr. Jong-Chen Chen is a prominent researcher and Full Professor in the Department of Information Management at National Yunlin University of Science and Technology, Taiwan, with a focus on innovative applications of neuromolecular models in robotics and computation.

Education

  • M.S. in Computer Science and Electrical Engineering
    University of Texas at Arlington (1986)
  • Ph.D. in Computer Science
    Wayne State University (1993)

💼 Professional Experience

Full Professor
Department of Information Management, National Yunlin University of Science and Technology (2000 – Present)

🔬 Research Interests

  • Evolvable Hardware
  • Brain-like Computer Simulation
  • Ecosystem Simulation
  • Bio-computing & Artificial Life
  • Molecular Electronics
  • Evolutionary Computation & Genetic Programming
  • Pattern Recognition

 

Publications

Application of Artificial Neuromolecular System in Robotic Arm Control to Assist Progressive Rehabilitation for Upper Extremity Stroke Patients

  • Authors: Jongchen Chen; Hao-Ming Cheng
  • Journal: Actuators
  • Year: 2024

Applying an Artificial Neuromolecular System to the Application of Robotic Arm Motion Control in Assisting the Rehabilitation of Stroke Patients—An Artificial World Approach

  • Authors: Jong-Chen Chen; Hao-Ming Cheng
  • Journal: Biomimetics
  • Year: 2023

Bridging the Finger-Action Gap between Hand Patients and Healthy People in Daily Life

  • Authors: Chen, Jong-Chen
  • Journal: Biomimetics
  • Year: 2023

Using Artificial Neuro-Molecular System in Robotic Arm Motion Control-Taking Simulation of Rehabilitation as an Example

  • Authors: Chen, Jong-Chen
  • Journal: Sensors
  • Year: 2022

Effectiveness of Companion Robot Care for Dementia: A Systematic Review and Meta-Analysis

  • Authors: Li-Chin Lu; Shao-Huan Lan; Yen-Ping Hsieh; Long-Yau Lin; Shou-Jen Lan; Jong-Chen Chen
  • Journal: Innovation in Aging
  • Year: 2021

Prof. Megha Bhushan | Healthcare | Best Researcher Award

Prof. Megha Bhushan, Healthcare, Best Researcher Award

Megha Bhushan at University of Seville, Spain

Profiles

Scopus

Orcid

Google Scholar

🎓 Education:

Dr. Megha earned her Ph.D. in Computer Science and Engineering from Thapar University, Patiala, Punjab, in 2018, with a thesis titled “A Generic Framework for Improving Software Product Line using an Ontological Rule-Based Approach.” She holds a Master’s in Engineering from the same institution, where she focused on improving Software Product Line Engineering using AOP, LEL, and UML. She completed her Bachelor’s of Technology in Information Technology from the University Institute of Information Technology, Himachal Pradesh University, Shimla, HP.

🏫 Professional Experience:

Dr. Megha currently serves as an Assistant Professor in the Department of Computer Languages and Systems at the University of Seville, Spain, since April 2024. She also holds the position of Honorary Adjunct Faculty at the School of Computing, Maryam Abacha American University of Nigeria, Kano since July 2024. Her previous roles include Assistant Dean, Research & Consultancy at DIT University, Dehradun, Uttarakhand, India, and various faculty positions at esteemed institutions like Koneru Lakshmaiah Education Foundation and Chitkara University. Dr. Megha has over 9.11 years of teaching and research experience, contributing significantly to the academic community through her various roles and responsibilities.

🔬 Research Interests:

Dr. Megha’s research spans various domains including Artificial Intelligence, Machine Learning, Knowledge Representation, Knowledge-based Systems, Rule-based Systems, Software Product Line, Software Quality, Ontologies, and Healthcare. She has been an active research team member in significant projects such as “Data-intensive software product lines” funded by the Ministry of Science and Innovation and “Deficit irrigation programming system for crops Operational Group” funded by the Andalusian Government, Spain.

🎖️ Grants and Fellowships:

Dr. Megha has been awarded several prestigious grants and fellowships, including the Rajiv Gandhi National Fellowship by the University Grants Commission, New Delhi, for her work on improving Software Product Line using an Ontological Rule-Based Approach. She also received the Student Presenter Scholarship at the Grace Hopper Celebration India (GHCI) 2017.

🏆 Achievements:

Dr. Megha has received numerous accolades for her contributions to research and education. She has been an active member of various committees and organizations, serving in roles such as Program Committee Member, Publicity and Sponsorship Committee Member, and Technical Program Committee Member for multiple international conferences. She has also been recognized with awards like “Global Leader in Excellence in Education and Outreach” and “Excellence in Research at the University level” at DIT University.

📜 Memberships and Associations:

Dr. Megha is a member of several professional organizations, including The Society of Digital Information and Wireless Communications (SDIWC) and the Education Research and Development Association (ERDA). She is also a fellow member of Eudoxia Research University and The Research World, International Society of Scientists and Engineers. Additionally, she serves on the advisory panel of The International Forum for Educators and Researchers (IFER).

đź“– Publications:

Impact of machine learning and deep learning techniques in autism
  • Authors: Bhushan, M., Singal, M., Negi, A.
  • Journal: Future of AI in Medical Imaging
  • Year: 2024
A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance
  • Authors: Bhushan, M., Vyas, S., Mall, S., Negi, A.
  • Journal: International Journal of System Assurance Engineering and Management
  • Year: 2023
Autonomous navigation of rovers using ML and DL techniques
  • Authors: Bhushan, M., Singal, M., Layek, S., Negi, A.
  • Journal: AI-Enabled Social Robotics in Human Care Services
  • Year: 2023
Classifying breast cancer using transfer learning models based on histopathological images
  • Authors: Rana, M., Bhushan, M.
  • Journal: Neural Computing and Applications
  • Year: 2023
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
  • Authors: Rana, M., Bhushan, M.
  • Journal: Multimedia Tools and Applications
  • Year: 2023