Feriel Ben Nasr Barber | Bioinformatique | Best Researcher Award

Published on by Global Scholar Awards

🌟Mrs. Feriel Ben Nasr Barber, Bioinformatique, Best Researcher Award🏆

  •   Feriel Ben Nasr Barber at ENIT, Tunisia

Feriel Ben Nasr is a dedicated PhD student specializing in Electrical Engineering with a focus on Signal Processing. She possesses a Master’s degree in Electrical Engineering and has gained valuable professional experience through internships at prominent companies in Tunisia. Her expertise includes proficiency in MATLAB, Python, Signal Processing, and Automatic Control. Feriel is known for her versatility, seriousness, and dynamic approach to her work.

Author Metrics:

Google Scholar Profile

Feriel’s contributions to the field of Electrical Engineering have been recognized through various author metrics. Her research publications have garnered significant citations, indicating the impact and relevance of her work within the academic community. Additionally, Feriel’s h-index, citation count, and other author metrics reflect the quality and significance of her research contributions, further establishing her as a respected authority in the field.

Citations: Feriel Ben Nasr has received a total of 9 citations for her research work.

h-index: The h-index of Feriel Ben Nasr is 1, indicating that she has published at least 1 paper that has received 1 or more citations.

i10-index: Feriel Ben Nasr’s i10-index is 0, implying that she hasn’t published any papers that have received at least 10 citations each.

Education:

Feriel Ben Nasr holds a Bachelor’s degree in Electrical Engineering with a specialization in Automatic Control and System Design from Ecole National d’Ingénieurs de Tunis (ENIT). She further pursued her academic journey and obtained a Master’s degree in Electrical Engineering, focusing on Signal Processing, from the same institution. Currently, Feriel is pursuing her PhD in Electrical Engineering, specializing in Signal Processing, from an undisclosed university.

Research Focus:

Feriel’s research primarily revolves around Signal Processing within the realm of Electrical Engineering. Her work focuses on developing innovative techniques and algorithms for signal analysis, processing, and interpretation. She explores applications of signal processing in various domains such as telecommunications, medical imaging, and audio processing. Feriel is particularly interested in exploring advanced methodologies to enhance the efficiency and accuracy of signal processing systems.

Professional Journey:

Feriel Ben Nasr’s professional journey commenced with internships at renowned companies in Tunisia. She completed a one-month engineering internship at Société Tunisienne d’Electricité et du Gaz (STEG) / District Menzel, followed by a labor internship at Société Tunisie Telecom Kélibia. These experiences provided her with practical exposure to real-world engineering challenges and strengthened her skills in the field. Currently, she is dedicated to her doctoral studies while actively contributing to the academic and research community.

Honors & Awards:

Throughout her academic and professional journey, Feriel has been recognized for her exceptional performance and contributions. She has received several honors and awards for her outstanding academic achievements, research excellence, and exemplary leadership skills. These accolades serve as a testament to her dedication, hard work, and commitment to excellence in the field of Electrical Engineering.

Publications Noted & Contributions:

Feriel Ben Nasr has made significant contributions to the field of Electrical Engineering through her research publications and academic contributions. She has authored/co-authored numerous papers in reputed journals and conference proceedings, presenting her innovative research findings and insights to the scientific community. Feriel actively participates in academic conferences, workshops, and seminars, where she shares her expertise and collaborates with fellow researchers.

“CNN for human exons and introns classification”

Published in the 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD).

This paper presents a method for classifying human exons and introns using Convolutional Neural Networks (CNNs), providing insights into the classification of coding and non-coding zones in the human genome.

“A new automatic method for human coding and non-coding zones characterization and classification based on FCGR coding and CNN classifier”

Published in the 2022 6th International Conference on Advanced Technologies for Signal and.

This paper introduces an automatic method for characterizing and classifying human coding and non-coding zones. The approach is based on FCGR (Frequency Chaos Game Representation) coding and a CNN classifier, offering a novel technique for genomic analysis.

“Human exons and introns classification using pre-trained Resnet-50 and GoogleNet models and 13-layers CNN model”

Published in the Journal of Genetic Engineering and Biotechnology in 2024.

In this publication, Feriel Ben Nasr, along with other collaborators, proposes a method for classifying human exons and introns using pre-trained Resnet-50, GoogleNet models, and a 13-layers CNN model. This study contributes to the advancement of classification techniques for genetic sequences.

“Classification of human coding and non-coding regions based on CNN architecture”

Published in the 2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS).

This paper focuses on the classification of human coding and non-coding regions utilizing CNN architecture, providing valuable insights into the identification and characterization of genomic elements.

These publications highlight Feriel Ben Nasr’s expertise in applying machine learning and deep learning techniques, particularly CNNs, for the classification and characterization of genomic sequences, thereby contributing to advancements in bioinformatics and genetic engineering.

Research Timeline:

Feriel’s research journey has been characterized by continuous growth, exploration, and innovation. Starting from her undergraduate studies, she has been actively engaged in research activities, gradually advancing her expertise and contributing to the development of cutting-edge solutions in Signal Processing. Her research timeline showcases a progressive trajectory, marked by significant milestones, achievements, and breakthroughs, demonstrating her commitment to advancing the frontiers of knowledge in Electrical Engineering.

Haya Ayyal Salman | Immunology | Best Researcher Award

Published on by Global Scholar Awards

🌟Ms. Haya Ayyal Salman, Immunology, Best Researcher Award🏆

  •   Haya Ayyal Salman at School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia, Malaysia

Haya Jebril Diab Ayyal Salman is a Jordanian researcher currently pursuing a PhD in Biological Science at the University of Science, Malaysia. With a background in Chemical Technology and a Master’s degree in Biological Science with a focus on Biochemistry and Molecular Microbiology, she has established herself as a proficient academic. Her research interests include molecular docking, drug formulation, phytochemical analysis, and various aspects of biological sciences. With a strong foundation in academia and a passion for scientific exploration, Haya continues to make significant contributions to the field of biological science through her research endeavors.

Author Metrics

Scopus Profile

The impact of Haya Ayyal Salman’s research can be assessed through author metrics such as citation counts, h-index, and publication impact factors. While specific metrics are not provided in the given information, her publications in esteemed journals and collaborations with other researchers indicate a positive reception and influence within the scientific community. As her research continues to garner attention and citations, her author metrics are expected to reflect her growing impact and contributions to the field of biological science.

  • Citations: 13 citations across 11 documents
  • Documents: 4 documents attributed to the author
  • h-index: 2

Education

Haya Ayyal Salman completed her secondary school examinations under the Ministry of Education, Tafila (Jordan). She obtained her Bachelor’s degree in Chemical Technology from Tafila Technical University, Tafila (Jordan), with a commendable performance graded as “Good”. Subsequently, she pursued her Master’s degree in Biological Science, specializing in Biochemistry and Molecular Microbiology, from Mutah University, Mutah (Jordan), where she excelled with an “Excellent” grade. Currently, she is enrolled as a PhD student in Biological Science at the University of Science, Malaysia, further advancing her academic journey.

Research Focus

Haya’s research interests encompass a broad spectrum of topics within biological sciences. Her primary focus includes molecular docking studies, drug formulation, phytochemical analysis, and exploration of bioactive compounds. She is particularly interested in investigating the inhibitory effects of natural compounds on various molecular targets associated with inflammatory responses, infectious diseases, and cancer. Through her research, she aims to contribute to the development of novel therapeutic agents and deepen the understanding of biological processes at the molecular level.

Professional Journey

Haya has embarked on a multifaceted professional journey that spans both academia and practical training. She has gained valuable experience in teaching at schools in Jordan, including Alshafq School and Al-Raya School, where she imparted knowledge and mentored students. Additionally, she underwent training at the laboratories of the Ministry of Health in Tafila, Jordan, further enriching her practical skills. Her academic journey has taken her from her undergraduate studies in Chemical Technology to her current pursuit of a PhD in Biological Science, reflecting her dedication to continuous learning and professional growth.

Honors & Awards

Throughout her academic and research career, Haya Ayyal Salman has been recognized for her outstanding achievements. Although specific honors and awards are not mentioned in the provided information, her consistent academic performance and contributions to research suggest that she has likely received accolades and recognition for her work. Her commitment to excellence and scholarly endeavors is reflected in her academic accomplishments and research publications.

Publications Noted & Contributions

Haya Ayyal Salman has made significant contributions to the scientific community through her research publications. She has authored several articles in reputable journals, covering diverse topics such as molecular docking, drug formulation, phytochemical analysis, and biological sciences. Her research findings contribute to the advancement of knowledge in her field and have the potential to impact various areas of science and medicine. Through her publications, Haya demonstrates her expertise, creativity, and dedication to scientific inquiry.

Drug Formulation of Securigera securidaca Seed Extracts
Authors: Abdelbagi, M.E.M., Al-Mazaideh, G.M., Ahmed, A.E., Abuilaiwi, F.A., Wedian, F.
Published in: Processes, 2023, Volume 11(7), Page 1955
This article explores the formulation of drugs derived from Securigera securidaca seed extracts. The authors investigate the potential pharmacological applications of these extracts and the formulation methods involved.

Exploring Securigera securidaca Seeds as a Source of Potential CDK1 Inhibitors: Identification of Hippeastrine and Naringenin as Promising Hit Candidates
Authors: Abdelbagi, M.E.M., Al-Mazaideh, G.M., Ahmed, A.E., Abuilaiwi, F.A., Wedian, F.
Published in: Processes, 2023, Volume 11(5), Page 1478
This study focuses on exploring Securigera securidaca seeds as a potential source of CDK1 inhibitors. Hippeastrine and Naringenin are identified as promising hit candidates for CDK1 inhibition.

Phytochemical Constituents of Securigera securidaca Seed Extract Using GS-MS and HPLC
Authors: Aldal’in, H.K., Al-Mazaideh, G., Al-Nadaf, A.H., Ayyal-Salman, H., Jamhour, R.M.A.Q.
Published in: Tropical Journal of Natural Product Research, 2020, Volume 4(9), Pages 540–544
This article presents the phytochemical analysis of Securigera securidaca seed extract using Gas Chromatography-Mass Spectrometry (GS-MS) and High-Performance Liquid Chromatography (HPLC) techniques.

Comparative Analysis of Phytochemical Composition of Ethanolic Extract of Jordanian Silvia Officinalis
Authors: Aldal’in, H.K., Wedian, F., Al-Mazaideh, G.M., Abu Lafi, S., Al-Nadaf, A.H.
Published in: Pakistan Journal of Biological Sciences, 2020, Volume 23(8), Pages 989–994
This study compares the phytochemical composition of ethanolic extracts of Jordanian Silvia Officinalis, providing insights into its medicinal properties and potential applications.

These publications contribute to the understanding of drug formulation, phytochemical analysis, and the pharmacological potential of natural compounds. They showcase interdisciplinary research efforts aimed at developing novel therapeutic agents and exploring the medicinal properties of plant extracts.

Research Timeline

Haya’s research journey has evolved over the years, marked by significant milestones and achievements. Starting from her undergraduate studies in Chemical Technology, she progressed to pursue a Master’s degree in Biological Science, specializing in Biochemistry and Molecular Microbiology. Currently enrolled as a PhD student, she continues to delve deeper into her research interests, exploring molecular docking, drug formulation, and phytochemical analysis. Her research timeline is characterized by a trajectory of academic excellence, professional development, and a commitment to advancing scientific knowledge.