Nesrine Guesmi | Biomaterials | Best Scholar Award

Mrs. Nesrine Guesmi | Biomaterials | Best Scholar Award

Sfax, Tunis at Faculty of Science of Sfax, Tunisia

Nesrine Guesmi is a dedicated and highly motivated doctoral candidate specializing in physics, currently pursuing her Ph.D. with the Stepstone team in Chemnitz. Born on June 26, 1994, in Sfax, Tunisia, Nesrine has consistently demonstrated a strong commitment to academic excellence and research innovation. With a solid foundation in fundamental and applied physics, she has developed a keen interest in sustainable materials and advanced spectroscopic techniques. Nesrine’s proactive approach is evident through her active participation in international conferences and workshops, where she has presented her research findings on topics such as the microstructural influences on ultrasonic parameters and the electrical and mechanical properties of hydroxyapatite/polymer composites. Her multilingual abilities in Arabic, French, and English, combined with her technical proficiency in MATLAB and OriginPro, enable her to collaborate effectively in diverse and interdisciplinary research environments. Beyond her academic pursuits, Nesrine is passionate about sports, music, and camping, which contribute to her well-rounded personality and resilience. Her dedication to continuous learning and professional development, coupled with her achievements and recognitions, position her as a promising researcher poised to make significant contributions to the field of physics and sustainable materials science.

Professional Profile

Education

Nesrine Guesmi has built a robust academic foundation through her progressive studies in physics at the Faculty of Science of Sfax, Tunisia. She began her higher education journey by obtaining a Baccalaureate in Mathematics from the Technical School 9 April 1938 in Sfax in 2013, which provided her with a strong analytical and quantitative background essential for her future studies in physics. She continued her education by earning a Fundamental Physics Degree from the same institution in 2016, where she delved into core physical principles and methodologies, laying the groundwork for her specialized research interests. Demonstrating her commitment to academic excellence, Nesrine pursued a Master’s Degree in Physics from 2016 to 2019 at the Faculty of Science of Sfax. During her master’s program, she engaged in advanced coursework and research projects that honed her expertise in various areas of physics, including material science and spectroscopy. Currently, Nesrine is advancing her academic career as a Ph.D. student with the Stepstone team in Chemnitz, a position she began in October 2024. Her doctoral studies focus on innovative research in sustainable biomaterials and impedance spectroscopy, reflecting her dedication to addressing contemporary scientific challenges and contributing to the advancement of her field.

Professional Experience

Nesrine Guesmi’s professional experience, though currently concentrated on her doctoral studies, reflects a focused and strategic approach to her career in research. In October 2024, she embarked on her Ph.D. journey with the Stepstone team in Chemnitz, where she engages in cutting-edge research in sustainable biomaterials and impedance spectroscopy. This role involves conducting experimental studies, analyzing complex data sets, and collaborating with a multidisciplinary team of scientists and engineers. Her responsibilities include designing and executing experiments, presenting findings at international conferences, and contributing to scholarly publications. Prior to her doctoral studies, Nesrine completed her Master’s and Fundamental Physics degrees at the Faculty of Science of Sfax, where she gained valuable hands-on experience in laboratory settings, project management, and scientific communication. She actively participated in organizing the International School on Smart Biomaterials for a Green and Sustainable Environment (BioMAT 2023), earning certificates of appreciation for her outstanding support. Additionally, her involvement in various training programs, such as X-ray diffraction and impedance spectroscopy, has equipped her with specialized skills that enhance her research capabilities. Nesrine’s professional journey is marked by a continuous pursuit of knowledge, practical application of her skills, and a commitment to contributing meaningfully to the scientific community.

Research Interests

Nesrine Guesmi’s research interests lie at the intersection of material science and advanced spectroscopic techniques, with a particular focus on sustainable biomaterials and their applications. She is deeply engaged in exploring the microstructural properties of polycrystalline materials and their influence on ultrasonic parameters, aiming to develop materials with enhanced mechanical and electrical characteristics. Her doctoral research involves the study of hydroxyapatite/polymer composites, where she investigates the electrical and mechanical properties of these materials to advance their use in sustainable energy solutions, such as nanoflexible polymer composite canogenerators. Nesrine is also interested in impedance spectroscopy, a technique she utilizes to analyze the electrical properties of materials, providing insights into their behavior under various conditions. Her participation in international workshops and training programs, including the International Workshop on Impedance Spectroscopy and Advanced School on Impedance Spectroscopy, underscores her commitment to mastering sophisticated analytical methods. Additionally, Nesrine is passionate about the development of smart biomaterials that contribute to green and sustainable environments, reflecting her dedication to addressing global challenges through innovative research. Her multifaceted research interests not only contribute to scientific advancements but also align with the growing emphasis on sustainability and environmental responsibility in modern research.

Research Skills

Nesrine Guesmi possesses a comprehensive set of research skills that enable her to excel in her field of physics and material science. She is proficient in using MATLAB and OriginPro, essential tools for data analysis, simulation, and visualization, which she employs to interpret complex experimental results and model physical phenomena. Her technical expertise extends to specialized techniques such as X-ray diffraction and impedance spectroscopy, acquired through dedicated training programs and hands-on research projects. These skills allow her to investigate the structural and electrical properties of materials with precision and accuracy. Nesrine is also adept at conducting oral presentations, having effectively communicated her research on the influence of microstructures on ultrasonic parameters and the electrical and mechanical study of hydroxyapatite/polymer composites at international conferences. Her ability to organize and support academic events, as demonstrated by her role in the International School on Smart Biomaterials for Green and Sustainable Environment (BioMAT 2023), highlights her project management and teamwork capabilities. Additionally, Nesrine’s multilingual proficiency in Arabic, French, and English facilitates her collaboration with diverse research teams and access to a broader range of scientific literature. Her strong foundation in fundamental and applied physics, combined with her analytical mindset and problem-solving abilities, make her a valuable asset in any research setting.

Awards and Honors

Nesrine Guesmi has been recognized for her contributions and dedication to the scientific community through various awards and honors. Notably, she received certificates of appreciation for her outstanding support in organizing the International School on Smart Biomaterials for a Green and Sustainable Environment (BioMAT 2023), highlighting her commitment to fostering collaborative and educational initiatives within her field. Additionally, Nesrine has been acknowledged for her active participation in prestigious events such as the 16th International Workshop on Impedance Spectroscopy and the Advanced School on Impedance Spectroscopy, where she earned certificates of participation, reflecting her dedication to continuous learning and professional development. Her ability to present original research findings through oral presentations at international conferences demonstrates her recognition as a capable and emerging researcher. These honors not only validate her hard work and contributions but also enhance her professional reputation, positioning her as a promising candidate for future awards and recognitions. Nesrine’s accolades underscore her proactive engagement in the scientific community, her leadership in organizing significant research events, and her excellence in presenting and disseminating research knowledge. As she continues to advance in her academic and research career, these honors serve as a testament to her potential and achievements in the field of physics and sustainable materials science.

Conclusion

Nesrine Guesmi demonstrates potential through her academic background, technical skills, and early research experiences. While her research output is still developing, her involvement in sustainable research initiatives and commitment to continuous learning are valuable attributes for a Best Researcher Award. If she continues to build her profile through publications and broadens her research experience, she could make a strong candidate for future awards.

Publications Top Note

A Comprehensive Review of Strategies toward Efficient Flexible Piezoelectric Polymer Composites Based on BaTiO₃ for Next-Generation Energy Harvesting

  • Journal: Energies
  • Year: 2024 (August)
  • Publication Type: Journal Article
  • DOI: 10.3390/en17164066
  • Contributors: Ayda Bouhamed, Sarra Missaoui, Amina Ben Ayed, Ahmed Attaoui, Dalel Missaoui, Khawla Jeder, Nesrine Guesmi, Anouar Njeh, Hamadi Khemakhem, Olfa Kanoun

 

Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

Prof. Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

Professor at Shahed University, Iran

Prof. Ali Motie Nasrabadi is a renowned academic and researcher in the field of Biomedical Engineering, specializing in the intelligent processing of EEG signals, computational neuroscience, and artificial intelligence in healthcare applications. He earned his Ph.D. in Biomedical Engineering from Amirkabir University of Technology in 2004, where his research focused on evaluating consciousness and hypnosis depth through EEG signal analysis. With a career spanning decades, Prof. Nasrabadi has contributed extensively to EEG/ERP signal processing, nonlinear and chaotic systems, and physiological modeling. He has published over 100 peer-reviewed papers and continues to influence the fields of biomedical signal processing and neuroscience.

Profile

Education

Prof. Ali Motie Nasrabadi has a distinguished academic background in Biomedical Engineering, with his education centered at the Amirkabir University of Technology in Tehran, Iran. He earned his Ph.D. in Biomedical Engineering in March 2004, with a dissertation titled “Quantitative and Qualitative Evaluation of Consciousness Variation and Depth of Hypnosis through Intelligent Processing of EEG Signals.” His doctoral research focused on advanced signal processing techniques applied to biomedical data. Prior to that, he completed his M.Sc. in Biomedical Engineering in September 1998, where he specialized in the “Design and Implementation of an 8-channel PC-Based Electroencephalograph.” This work demonstrated his early interest in biomedical instrumentation and signal analysis. Prof. Nasrabadi began his academic journey with a B.Sc. in Electronic Engineering in February 1994, focusing on the “Design and Implementation of Control of Satellite Dish to Get Better Signal.” His strong foundation in electronic engineering and biomedical systems has been integral to his success in applying engineering principles to healthcare challenges.

Professional Experience

Prof. Ali Motie Nasrabadi has had a distinguished career across both academic and industrial sectors. He has served as the Vice Chancellor for Support and Resource Management at Shahed University from 2017 to 2021, where he played a pivotal role in overseeing resource management. Prior to this, he was the Director General of Equipment at Shahed University, a position he held from 2004 to 2021. His expertise in biomedical signal processing has led to consultancy roles, including being an EEG Signal Processing Consultant at the National Brain Mapping Laboratory (NBML) since 2016. In this capacity, he has also designed and organized brain signal processing workshops at NBML. Prof. Nasrabadi has been actively involved in industrial and technology consulting as well. Since 2014, he has been a Technology and E-commerce Consultant at Shenasa Venture Capital and Trigup Accelerator. Earlier in his career, he worked as a researcher at the Research Center for Intelligent Signal Processing (RCISP) from 2001 to 2006 and the Laser and Optical Group at the Research Center for Science and Technology in Medicine (RCSTIM) from 1998 to 2004. His wide-ranging experience reflects his strong influence in both academia and industry, particularly in the fields of biomedical engineering and signal processing.

Research Interest

Prof. Ali Motie Nasrabadi’s research interests are deeply rooted in the intersection of biomedical engineering and signal processing. His primary focus is on artificial intelligence in healthcare applications, where he explores the potential of AI to enhance medical diagnostics and treatments. He is also heavily involved in computational neuroscience, studying the brain’s complex systems through computational models. Prof. Nasrabadi specializes in chaotic and nonlinear signal processing, applying advanced techniques to understand irregular biological signals. A significant portion of his research is dedicated to the recording and processing of EEG/ERP/LFP/ECoG signals, where he analyzes brain activity patterns for medical and cognitive insights. Additionally, he is interested in the modeling of physiological systems, where he creates mathematical representations of biological processes to better understand and predict their behavior. This broad array of research areas positions Prof. Nasrabadi as a leading figure in applying advanced computational methods to solve complex challenges in healthcare and neuroscience.

Research Skills

Prof. Ali Motie Nasrabadi possesses a diverse set of skills that span across various domains of biomedical engineering and computational analysis. He is an expert in MATLAB and C programming, which he uses for designing and implementing algorithms for signal processing and neural network modeling. His proficiency with EEGLAB and SPM software makes him adept at processing and analyzing EEG and brain signals, essential for neuroscience research. Additionally, Prof. Nasrabadi is skilled in SPSS, which he uses for statistical data analysis, allowing him to interpret complex biomedical data. His deep understanding of chaos theory and nonlinear dynamics further complements his expertise, enabling him to analyze and quantify irregular physiological signals. These technical and computational skills are integral to his contributions in fields such as artificial intelligence, signal processing, and healthcare.

Award and Recognition

Prof. Ali Motie Nasrabadi has received several awards and recognitions throughout his distinguished academic and research career. He achieved First Rank in his B.Sc. program from the Department of Electrical Engineering at Amirkabir University of Technology, with an impressive average score of 18.16 out of 20. Similarly, he was awarded First Rank in his M.Sc. program from the Department of Biomedical Engineering at Amirkabir University of Technology, with an outstanding average score of 18.63 out of 20. His significant contributions to the field of biomedical engineering, particularly in signal processing and artificial intelligence applications, are reflected in his high H-index of 31 in Google Scholar and H-index of 23 in Scopus, underscoring the impact of his research in the global scientific community.

Conclusion

Considering Prof. Ali Motie Nasrabadi’s extensive academic achievements, innovative research in biomedical signal processing, significant publication record, industry-related activities, and leadership roles, he is highly suitable for the Research for Best Researcher Award. His work has had a profound impact on the field of biomedical engineering, particularly in the analysis and processing of EEG signals, making him a deserving candidate for this prestigious recognition.

Publications Top Notes

  • Title: EEG Classification of ADHD and Normal Children Using Non-linear Features and Neural Network
    • Citations: 220
    • Year: 2016
  • Title: Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes During Simulated Driving
    • Citations: 153
    • Year: 2015
  • Title: A New Automatic Sleep Staging System Based on Statistical Behavior of Local Extrema Using Single Channel EEG Signal
    • Citations: 110
    • Year: 2018
  • Title: Determining Fault’s Type and Accurate Location in Distribution Systems with DG Using MLP Neural Networks
    • Citations: 105
    • Year: 2009
  • Title: A Review on EEG Signals Based Emotion Recognition
    • Citations: 103*
    • Year: 2018
  • Title: The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
    • Citations: 83
    • Year: 2014
  • Title: EEG-based Mental Task Classification: Linear and Nonlinear Classification of Movement Imagery
    • Citations: 69
    • Year: 2006
  • Title: Emotion Classification Through Nonlinear EEG Analysis Using Machine Learning Methods
    • Citations: 68
    • Year: 2018