Mr. Alioune Nacro –  Engineering  –  Best Researcher Award

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Mr. Alioune Nacro -  Engineering  -  Best Researcher Award

Laboratoire de mathématiques Nicolas Oresme - France 

Author Profile

ORCID 

🎓 Early academic pursuits

Alioune Nacro embarked on his academic journey with a strong foundation in engineering and mechanics. he pursued a diplôme universitaire de technologie (dut) in génie industriel at sn-citec, where he gained hands-on experience in industrial processes and maintenance. building on this, he advanced to a licence 2 in génie électrique et informatique industrielle (geii) at the institut des sciences et techniques de valenciennes. his thirst for knowledge led him to the prestigious esix at the université de caen, where he completed his diplôme d’ingénieur in mécatronique. his academic path was further enriched with a master’s degree in mécanique at the université de caen, ultimately progressing to doctoral studies in mécanique des solides, génie mécanique, productique, transport et génie civil.

🌟 Professional endeavors

Alioune Nacro has built an impressive career through a series of impactful internships and research positions. he gained industrial experience at décathlon cagny, where he managed stock and logistics. later, at global technology, he contributed to the design and implementation of photovoltaic cells on drones, optimizing their energy autonomy. at dracula technologies, he integrated energy harvesting into connected objects and developed innovative electronic systems. his most recent internship at laboratoire nicolas oresme focused on the modeling of raw bricks reinforced with natural fibers, utilizing finite element analysis and fast fourier transform methods.

🧠 Contributions and research focus

Alioune’s research is centered on mechanics, material sciences, and renewable energy solutions. his doctoral work delves into the multiscale fe2 elastoviscoplastic analysis of composite structures, a theoretical and computational study that enhances the understanding of material behavior under different conditions. his expertise extends to numerical simulations, Engineering computational fluid dynamics (cfd), and fluid-structure interaction calculations, employing advanced software such as castem, code aster, and openfoam. his contributions in energy harvesting, particularly the autonomous lighting system powered by renewable energy, highlight his commitment to sustainable technology.

🏆 Accolades and recognition

Alioune’s academic and professional journey has been marked by significant achievements. his innovative research in material science and renewable energy has garnered attention within Engineering academic circles. his hands-on contributions to energy-efficient technologies and advanced modeling techniques have positioned him as a rising researcher in mechanical engineering and  applied physics. his ability to bridge theoretical research with practical applications has been recognized by industry professionals and academic mentors alike.

💪 Impact and influence

Alioune’s work has had a profound impact on both the academic and industrial sectors. his research in composite material analysis provides valuable insights for structural engineers and Engineering material scientists. his contributions to energy harvesting and autonomous systems play a crucial role in the development of smart and self-sufficient technologies. through his various projects, he has influenced the integration of renewable energy solutions into real-world applications, setting a precedent for sustainable innovation.

🔬 Legacy and future contributions

As a dedicated researcher, alioune nacro is poised to leave a lasting legacy in the fields of mechanical engineering and renewable energy. his work in numerical simulations and composite material analysis continues to shape future advancements in material science and structural engineering. with his expertise in energy harvesting and smart technology integration, he is expected to contribute to groundbreaking solutions that enhance energy efficiency and sustainability. his future endeavors in academia and industry will likely inspire the next generation of engineers and researchers in these dynamic fields.

Notable Publications 

Title: Experimental and modeling study on earthen sediment-based bricks with and without flax fibers: a finite element analysis
Author(s): Alioune Nacro, Daniel Levacher, Mazhar Hussain
Journal: Results in Engineering, 2025

Assoc. Prof. Dr Rui Mao – Artificial intelligence – Best Researcher Award

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Assoc. Prof. Dr Rui Mao - Artificial intelligence - Best Researcher Award

Northwest A&F University - China

AUTHOR PROFILE 

SCOPUS 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Rui Mao’s academic journey began with a master’s degree from Xi’an JiaoTong University, where she developed a keen interest in the application of technology in agriculture. She then pursued a Ph.D. from Northwest A&F University, where her research focused on the intersection of machine learning, image processing, and agriculture. Her strong foundation in these fields allowed her to push the boundaries of innovation in precision agriculture, laying the groundwork for her future research endeavors.

PROFESSIONAL ENDEAVORS 🏫

As an Associate Professor at Northwest A&F University, Rui Mao has been a key figure in bridging the gap between computer science and agriculture. Her extensive academic career includes presiding over four key research and development programs in Shaanxi Province. Additionally, she has contributed to multiple consultancy and industry projects, providing expert guidance on the implementation of machine learning and image processing in real-world agricultural settings.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Rui’s research focuses on machine learning, image processing, and pattern recognition, with a primary emphasis on precision agriculture. Her projects have led to the development of innovative solutions for improving agricultural productivity and sustainability. By integrating advanced technologies, her research provides practical applications for improving crop Artificial intelligence management, pest control, and resource optimization. She is also pioneering work on digital agriculture through her collaborations and ongoing projects, which are poised to transform the agricultural industry.

ACCREDITATIONS AND RECOGNITION 🏅

Rui Mao’s work has earned her significant recognition in the scientific community. With a citation index of 128 and 12 publications in prestigious journals, her research has had a considerable impact on the fields of agriculture and technology. Her contributions to digital agriculture and image processing have positioned her as a leading figure in her field. Rui’s expertise is further Artificial intelligence acknowledged through her membership in esteemed professional bodies such as the China Computer Society and the China Association of Image Graphics.

IMPACT AND INFLUENCE 🌍

Rui’s influence extends beyond academia. As a senior member of the China Computer Society and an executive committee member of its Digital Agriculture Branch, she has shaped the Artificial intelligence direction of research in the application of computer science to agriculture. Her work has contributed to the development of smarter, more efficient agricultural practices, which are essential for meeting global food security challenges. Through her innovations, Rui has directly impacted the agricultural technology landscape in China and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Rui Mao’s future work promises to continue advancing the integration of machine learning and image processing in agriculture. Her ongoing research on digital agriculture and precision farming has the potential to revolutionize farming practices globally, ensuring more sustainable and efficient food production. As a passionate educator and researcher, Rui is poised to inspire future generations of scientists and innovators, further solidifying her legacy as a pioneer in agricultural technology and machine learning applications.

NOTABLE PUBLICATIONS 

  • Title: A Real-Time Lightweight Behavior Recognition Model for Multiple Dairy Goats
    Authors: Xiaobo Wang, Yufan Hu, Meili Wang, Mei Li, Wenxiao Zhao, Rui Mao
    Journal: Animals (2024-12)
    DOI: 10.3390/ani14243667
  • Title: An Integrated Gather-and-Distribute Mechanism and Attention-Enhanced Deformable Convolution Model for Pig Behavior Recognition
    Authors: Rui Mao, Dongzhen Shen, Ruiqi Wang, Yiming Cui, Yufan Hu, Mei Li, Meili Wang
    Journal: Animals (2024-04)
    DOI: 10.3390/ani14091316
  • Title: GSEYOLOX-s: An Improved Lightweight Network for Identifying the Severity of Wheat Fusarium Head Blight
    Authors: Rui Mao, Zhengchao Wang, Feilong Li, Jia Zhou, Yinbing Chen, Xiaoping Hu
    Journal: Agronomy (2023-01)
    DOI: 10.3390/agronomy13010242

Prof . Balasubbareddy Mallala – Machine Learning – Best Researcher Award 

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Prof . Balasubbareddy Mallala - Machine Learning - Best Researcher Award 

Chaitanya Bharathi Institute of Technology, Hyderabad - India 

Author Profile

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Dr. M. Balasubbareddy embarked on his academic journey with a strong foundation in electrical and electronics engineering, earning a b.e. degree with distinction. further advancing his expertise, he pursued an m.tech. in power systems, achieving first-class honors. his relentless pursuit of knowledge culminated in a ph.d. in electrical and electronics engineering, where he delved into cutting-edge research, laying the groundwork for a prolific career. his academic curiosity extended to post-doctoral studies, further cementing his reputation as a dedicated scholar.

💼 Professional endeavors

As a professor at chaitanya bharathi institute of technology (cbit), dr. balasubbareddy has dedicated over two decades to teaching and mentoring. since joining cbit in 2017, he has taken on diverse roles, including membership in the college academic committee, anti-ragging committee, and intellectual property rights cell. his leadership as a convener of the ethics committee and departmental research committee has significantly shaped institutional policies and academic growth. with a career spanning 22 years in teaching and 16 years in research, he remains a cornerstone of excellence in academia.

🔬 Contributions and research focus

Dr. Balasubbareddy's research focuses on power systems, power electronics, and soft computing techniques. his innovative work bridges theoretical advancements and practical applications, contributing to sustainable and efficient energy solutions. as an active researcher, he has guided numerous projects and students, fostering a culture of inquiry and innovation. his Machine Learning participation in various institutional committees ensures the integration of research-driven strategies into curriculum development and academic practices.

🏅 Accolades and recognition

Dr. Balasubbareddy has received numerous prestigious awards that underscore his excellence in teaching and research. notable accolades include the best researcher of the year award from Machine Learning jnt university, the national award for teaching excellence, and the dr. radhakrishna award for engineering college teachers. his achievements also include international recognition, such as the global eminent scientist award and best open source learner awards. these honors reflect his dedication to academic and research excellence over the years.

🌟 Impact and influence

Through his extensive teaching and mentorship, dr. balasubbareddy has influenced countless students and colleagues, fostering a legacy of innovation and excellence. his involvement in nba Machine Learning accreditation, institute innovation, and patenting committees has significantly enhanced the academic framework of cbit. his dedication to fostering interdisciplinary collaboration and industry partnerships exemplifies his commitment to advancing the field of electrical and electronics engineering.

🏛️ Legacy and future contributions

Dr. Balasubbareddy's enduring legacy is built on his passion for education, research, and innovation. his ongoing efforts to integrate cutting-edge research with practical applications continue to inspire the next generation of engineers and researchers. as a dedicated mentor, academic leader, and researcher, he envisions a future where his contributions to power systems and soft computing techniques pave the way for sustainable technological advancements.

Notable Publications 

  • Title: Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. V. Suresh
    Journal: Engineering Science and Technology, an International Journal
  • Title: Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm
    Authors: M. Balasubbareddy
    Journal: Ain Shams Engineering Journal
  • Title: Salp swarm algorithm for solving optimal power flow problem with thyristor-controlled series capacitor
    Authors: B. Mallala, D. Dwivedi
    Journal: Journal of Electronic Science and Technology
  • Title: Generation and utilization of electrical energy
    Authors: S. Sivanagaraju, M. B. Reddy, D. Srilatha
    Journal: Pearson Education India
  • Title: A non-dominated sorting hybrid cuckoo search algorithm for multi-objective optimization in the presence of FACTS devices
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. Venkata Suresh
    Journal: Russian Electrical Engineering

Prof. Dr. Manuel Mazzara – Artificial Intelligence – Best Researcher Award

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Prof. Dr. Manuel Mazzara - Artificial Intelligence - Best Researcher Award

Innopolis University - Russia 

Author Profile 

SCOPUS 

ORCID 

Early academic pursuits 🎓

Manuel Mazzara began his academic journey with a strong focus on software engineering, specializing in formal methods and their application to building reliable software. His academic endeavors shaped his expertise in understanding the theoretical foundations of software engineering and its practical deployment in critical sectors such as automotive, transportation, and aerospace industries. This educational background laid the groundwork for his research in the intersection of theory and practice in software engineering.

Professional endeavors 🏢

Professor Mazzara has had a distinguished career spanning over a decade at Innopolis University in Russia, where he currently holds multiple leadership roles. As the Dean of the university since September 2023, he oversees academic strategies and programs. Additionally, he serves as a full professor and head of various departments, including the Master of Science in Information Technology – Software Engineering program. His extensive experience also includes his position as Vice Dean for International Relations, where he strengthens global academic ties. Over the years, he has been instrumental in driving forward research in software resilience and concurrency.

Contributions and research focus 🔬

Mazzara’s research lies at the heart of software engineering, particularly focusing on formal methods to ensure the development of reliable software systems. His team has contributed to the development of theories, tools, and frameworks that address both the process and product sides of software engineering. Key areas of his research include concurrency, formalization of Artificial Intelligence software processes, and the application of formal methods to safety-critical systems. Mazzara's work is particularly impactful in sectors where failure could have catastrophic consequences, such as the automotive and aerospace industries.

Accolades and recognition 🏅

Professor Mazzara’s work has been recognized both within the academic community and industry. His contributions to the application of formal techniques in software engineering have Artificial Intelligence positioned him as a leader in his field. As a professor and researcher, Mazzara has published numerous works, garnering significant attention for his research in formal methods and software resilience. His work in coordinating complex systems has earned him a reputation for addressing the most challenging aspects of software engineering.

Impact and influence 🌍

Mazzara's work has a profound impact on the software engineering industry, particularly in the development of complex, concurrent systems. His contributions to the resilience of software Artificial Intelligence have made it possible to create more reliable systems in high-stakes industries where safety is paramount. By applying formal methods, he has helped shape the way critical software systems are developed, reducing the risks associated with system failures. His influence extends beyond academia, with his research directly impacting industries that rely on advanced software systems for their operations.

Legacy and future contributions 🔮

Professor Mazzara’s legacy will be defined by his dedication to improving the reliability and resilience of software systems. His work on the formalization of software engineering processes and the deployment of formal methods in industry will continue to shape the field for years to come. As he looks toward the future, Mazzara’s research promises to address the evolving challenges of software concurrency and resilience, ensuring that the next generation of software engineers is equipped with the tools and knowledge necessary to tackle the growing complexity of modern systems.

Notable Publications 

  • Title: Configuration Sets with Nonempty Interior
    Author(s): Greenleaf, A.; Iosevich, A.; Taylor, K.
    Journal: Journal of Geometric Analysis
  • Title: Embedding Distance Graphs in Finite Field Vector Spaces
    Author(s): Iosevich, A.; Parshall, H.
    Journal: Journal of the Korean Mathematical Society
  • Title: Equilateral Triangles in Subsets of ℝᵈ of Large Hausdorff Dimension
    Author(s): Iosevich, A.; Liu, B.
    Journal: Israel Journal of Mathematics
  • Title: Falconer’s Conjecture?
    Author(s): Iosevich, A.
    Journal: Notices of the American Mathematical Society
  • Title: Finite Trees Inside Thin Subsets of ℝᵈ
    Author(s): Iosevich, A.; Taylor, K.
    Journal: Springer Proceedings in Mathematics and Statistics

Dr. Reza Mohebian – AI in Oil and Gas Exploration – Best Researcher Award

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Dr. Reza Mohebian - AI in Oil and Gas Exploration - Best Researcher Award

Tehran University - Iran

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Reza Mohebian's academic journey began with a bachelor's degree in mining engineering from the university of science & technology in tehran, iran, in 2008. he then pursued his master's degree in geophysics, specializing in seismology, at the university of tehran, where his thesis focused on detecting oil-filled channels using advanced spectral attributes. reza's passion for geophysics led him to complete his ph.d. at the university of tehran, where he explored seismic facies analysis using intelligent systems, solidifying his foundation in both geophysics and petroleum exploration.

Professional endeavors 🏛️

since 2020, reza has been serving as a faculty member in the petroleum exploration department at the school of mining engineering, university of tehran. his expertise and leadership led to his appointment as the director of the key laboratory of geophysics and petroleum exploration in 2021. reza’s career is also marked by his significant role as a representative of iran’s ministry of science, research, and technology in the petroleum ministry from 2017 to 2018, contributing to the development of commercial software packages for petroleum exploration.

Contributions and research focus 🔬

Reza’s research is centered on seismic geophysics and petroleum exploration. his ph.d. research in seismic facies analysis, using intelligent systems, introduced novel methods for oil and gas detection. his work extends to the application of artificial neural networks in mineral potential mapping, and his contribution to spectral  AI in Oil and Gas Exploration decomposition techniques is encapsulated in his book on identifying oil reservoirs. reza’s research blends computational intelligence with geophysics, making significant advancements in the field of seismic exploration.

Accolades and recognition 🏅

Reza Mohebian’s work in geophysics has garnered recognition both within academic circles and the petroleum industry. his book on spectral decomposition methods is a significant contribution to the field and is widely used by professionals and students. as the director of a key laboratory at the university of tehran, he plays a AI in Oil and Gas Exploration pivotal role in advancing geophysical research in iran. his innovative approaches to seismic data interpretation have solidified his reputation as a leading expert in petroleum exploration.

Impact and influence 🌍

Reza’s influence extends beyond academia, impacting the broader field of petroleum exploration in iran. through his work in developing in-house software solutions AI in Oil and Gas Exploration for the petroleum ministry, he has contributed to technological advancements that benefit the entire industry. his teaching and mentorship at the university of tehran have shaped the next generation of geophysicists, ensuring his influence continues to resonate in future explorations and research.

Legacy and future contributions 🔮

Reza Mohebian’s legacy is built on his pioneering work in geophysics, particularly in the application of intelligent systems for seismic exploration. his continued research in seismic geomechanics and advanced geostatistics promises to further enhance our understanding of oil reservoir detection and seismic data analysis. with a strong academic foundation and a forward-thinking approach, reza’s future contributions will undoubtedly leave a lasting impact on both iran’s petroleum industry and the global field of geophysics.

Notable Publications 

  1. Analysis and potential ecological risk assessment of heavy metals in the surface soils collected from various land uses around Shazand Oil Refinery Complex, Arak, Iran
    Authors: M. Mohebian, S. Sobhanardakani, L. Taghavi, J. Ghoddousi
    Journal: Arabian Journal of Geosciences, 14, 1-16, 2021
  2. Characterization of hydraulic flow units from seismic attributes and well data based on a new fuzzy procedure using ANFIS and FCM algorithms, example from an Iranian carbonate reservoir
    Authors: R. Mohebian, M.A. Riahi, A. Kadkhodaie
    Journal: Carbonates and Evaporites, 34, 349-358, 2019
  3. Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes
    Authors: R. Mohebian, M.A. Riahi, O. Yousefi
    Journal: Journal of Geophysics and Engineering, 15(5), 1953-1962, 2018
  4. Detection of the gas-bearing zone in a carbonate reservoir using multi-class relevance vector machines (RVM): comparison of its performance with SVM and PNN
    Authors: R. Mohebian, M.A. Riahi, M. Afjeh
    Journal: Carbonates and Evaporites, 33, 347-357, 2018
  5. Channel detection using instantaneous spectral attributes in one of the SW Iran oil fields
    Authors: R. Mohebian, M. Yari, M.A. Riahi, R. Ghanati
    Journal: Bollettino di Geofisica Teorica ed Applicata, 54(3)

Mrs. Natasha Christabelle Santosa – Artificial Intelligence – Best Researcher Award

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Mrs. Natasha Christabelle Santosa - Artificial Intelligence - Best Researcher Award

Tokyo Institute of Technology - Japan

Author Profile

ORCID

🎓 Early academic pursuits

Natasha Christabelle Santosa's journey into the world of artificial intelligence (ai) began with a bachelor's degree in computer science from gadjah mada university (ugm), where she graduated with honors and a strong gpa of 3.64/4.00. her undergraduate thesis on adaptive neuro-fuzzy inference systems showcased her early interest in applying computational methods to healthcare, specifically for breast cancer diagnosis. during her time at ugm, natasha was an active member of the university's student association and was involved in organizing events, contributing to the university's nokia innovation center game development team, and volunteering as a teacher at an elementary school. this combination of academic excellence and extracurricular engagement laid the foundation for her future success.

💼 Professional endeavors

Natasha’s professional experience is a testament to her drive and dedication to advancing ai. she has worked as a research assistant at the prestigious tokyo institute of technology, investigating dynamic ontology in scientific paper recommendations. prior to this, she also served at the advanced institute of science and technology (aist), where her focus was on leveraging graph neural networks for end-to-end scientific paper recommendation. these positions allowed natasha to apply her skills in real-world scenarios, positioning her as a key player in the ai research community.

🧠 Contributions and research focus

Natasha's primary research focus has been the development of ai systems for scientific paper recommendations, aiming to assist researchers in finding relevant academic papers with the use of dynamic ontology and neural networks. her innovative approaches, such as the employment of graph neural networks, have led to advancements in recommendation systems. her doctoral thesis at tokyo tech explores these themes further, Artificial Intelligence with a special focus on paper writing assistance—a critical area for researchers navigating the vast landscape of academic publications.

🏅 Accolades and recognition

throughout her academic career, natasha has consistently achieved top-tier results, maintaining a gpa of 93% in her ongoing phd program and 82% during her master’s studies at tokyo tech. her achievements reflect not only her deep understanding of ai but also her ability to apply Artificial Intelligence complex models to solve practical problems. her work has led to paper presentations at esteemed conferences, highlighting her as a thought leader in the field of ai-based recommendation systems.

🌍 Impact and influence

Natasha’s work is contributing to the evolution of scientific research methodologies, particularly through her ai models designed to recommend relevant papers to researchers. by enhancing the efficiency of paper writing and research discovery processes, she is helping academics across Artificial Intelligence the globe save time and find valuable resources more easily. her quadrilingual capabilities—enabling her to communicate in english, indonesian, japanese, and another language—also position her as an important figure in both local and international research communities.

💻 Legacy and future contributions

Natasha is not only focused on current research but is also driven by the potential her innovations hold for the future. her work on dynamic ontology and ai-driven scientific recommendations is poised to influence the next generation of ai researchers, as well as academics who rely on more streamlined access to critical information. as she nears the completion of her phd, natasha looks forward to furthering her research in hybrid or remote work environments, particularly in tokyo, where she aims to continue contributing to ai advancements on a global scale.

Notable Publications

S3PaR: Section-based Sequential Scientific Paper Recommendation for paper writing assistance 2024

Automating Computer Science Ontology Extension With Classification Techniques 2021

Dr. Yosr Ghozzi – Deep learning – Excellence in Research

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Dr. Yosr Ghozzi - Deep learning - Excellence in Research

University of Sfax - Tunisia

AUTHOR PROFILE

SCOPUS

ORCID

EARLY ACADEMIC PURSUITS 🎓

Yosr Ghozzi embarked on her academic journey with a strong focus on technological innovation and medical applications. She earned her Ph.D. from the National Engineering School of Sfax (ENIS) in 2022, which marked the beginning of her career as a teacher-researcher. Her academic background is rooted in artificial intelligence, deep learning, and medical imaging, laying the foundation for her future contributions to the field.

PROFESSIONAL ENDEAVORS 🏥

Since 2022, Yosr has been a dedicated teacher and researcher at ISIMS/University of Sfax in Tunisia. Her work is characterized by a strong focus on artificial intelligence and its applications in medical diagnostics. Her role as a researcher has allowed her to contribute significantly to both academic and industrial projects, with a notable project being the KAFSS, which involves molecular kits and digital applications for facial prediction and dysmorphia.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Yosr's research is at the intersection of artificial intelligence and medical imaging. She has made significant strides in the use of deep learning Deep learning combined with fuzzy logic to address the challenges of content-based image retrieval (CBIR) systems. Her work in this area is particularly relevant for computer-aided diagnosis, where CBIR systems can aid in detecting abnormalities and classifying medical images based on their content and medical context.

ACCREDITATIONS AND RECOGNITION 🏆

Yosr's contributions to research have not gone unnoticed. In 2022, she was awarded the prestigious title of Best Innovative Researcher at TICAD 8. Her research has also been published in two journals indexed by SCI and Scopus, and she has been involved in the editorial process of six Deep learning conferences, further establishing her as a recognized figure in her field.

IMPACT AND INFLUENCE 🌍

Yosr's research has a significant impact on the medical and technological fields, particularly in the development of advanced diagnostic tools. Her collaboration with international researchers from the University of Essex and the University of Johannesburg highlights her global influence. Her Deep learning work in AI and deep learning contributes to improving the accuracy and efficiency of medical diagnostics, potentially saving lives through early detection and intervention.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Yosr Ghozzi is set to leave a lasting legacy in the fields of artificial intelligence and medical imaging. Her innovative approaches to using deep learning for medical applications position her as a pioneer in her field. As she continues her research, Yosr's contributions will likely inspire future advancements in AI-driven healthcare solutions, ensuring her work's lasting impact on both academia and the medical community.

NOTABLE PUBLICATIONS

Interval Type-2 Beta Fuzzy Near Sets Approach to Content-Based Image Retrieval 2022(13)

Competencies based curricula (Electro-Mechanical Department Case Study) 2019(1)

A beta-fuzzy-near-sets approach to research for visually similar content images 2017(3)

A novel method for resemblance images using near fuzzy set 2016(2)

Modelling and numerical simulation of thick sheet double slitting process using continuum 2014(7)