Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Dr. Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Abu Dhabi University | United Arab Emirates

PUBLICATION PROFILE

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📘 INTRODUCTION

DR. MURAD AL-RAJAB is a dedicated academic and technology professional whose expertise spans across computer science, data science, artificial intelligence, and sustainable computing. With over a decade of experience in academia and IT leadership, Dr. Al-Rajab is recognized for his ability to bridge the gap between theoretical knowledge and practical application in digital transformation and emerging technologies.

🎓 EARLY ACADEMIC PURSUITS

Dr. Al-Rajab’s academic journey began with a Bachelor of Science in Computer Science from Aman University of Science and Technology in 2005. He later pursued two Master’s degrees: one in Computer Science from the New York Institute of Technology in 2008 and another in Information Systems Management from HCT in 2014. His academic aspirations culminated in earning a PhD in Computer Science from the University of Huddersfield in 2019, marking the foundation for his future contributions to academic research and teaching.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Al-Rajab currently serves as an Assistant Professor at Abu Dhabi University (ADU) since 2020, having also served as a Part-Time Adjunct Assistant Professor from 2019–2020. His prior roles include a Lecturer at Abu Dhabi School of Management (ADSM) and IT Director at ALHOSN University. These roles reflect a unique blend of academic dedication and administrative expertise, showcasing his leadership in both educational and operational spheres.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Al-Rajab’s research interests include machine learning, data science, AI applications, smart systems, and sustainable technology solutions. His work focuses on applying AI to societal challenges—from energy optimization and disaster management to AR-based education and smart tourism. As an active researcher, he explores interdisciplinary frameworks, often combining data-driven models with real-world applications.

🌍 IMPACT AND INFLUENCE

Through organizing initiatives like Software Engineering Days, Cybersecurity Days, and Blockchain Hackathons (2021–2024), Dr. Al-Rajab has become a catalyst for tech-driven dialogue and student engagement. As Leader of the ADU Computing Club and Coordinator of field trips and social activities, he promotes academic enrichment and community building. His work also includes committee contributions to ICASF 2024, the ADU IMT Steering Committee, and more.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Al-Rajab has published several impactful journal articles and conference papers in recent years. His works include:

  • “Sustainable EnergySense” (2024, Discover Sustainability), addressing energy efficiency through machine learning.

  • “QUALITY POINTPAL” (2024), redefining social networking with AI.

  • A highly innovative study on crescent moon visibility prediction published in both Scientific Reports (2023) and Journal of Big Data (2024).

  • He also contributed to cancer detection, traffic flow forecasting, and gene classification using AI models.
    Notably, his 2024 paper on AI for Real-Time Disaster Management, presented at CITS in Spain, reflects his ongoing commitment to societal impact through research.

🏅 HONORS & AWARDS

Dr. Al-Rajab has received multiple awards for excellence and innovation. In 2024, he was honored with the Best Scientific Research Contribution Award by the University of Wollongong, Dubai. He also received the Best Presentation Award at an international research conference in Canada (2020) and was recognized as Best Presenter at HCT in 2013.

🧑‍💻 CERTIFICATIONS & PROFESSIONAL MEMBERSHIP

A certified IBM Data Science Practitioner Instructor and a Huawei Certified ICT Associate in AI, Dr. Al-Rajab continuously sharpens his skillset through professional certifications in IoT, Enterprise Design Thinking, and Applied Data Science. He is also a proud member of the British Computer Society – The Chartered Institute for IT, reinforcing his engagement in the global tech community.

🧠 PROFESSIONAL DEVELOPMENT

He actively participates in workshops and training sessions including AI in education, reflective STEM strategies, quantitative research design, and leadership programs. These continuous learning efforts demonstrate his passion for staying ahead in both pedagogy and technology.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Al-Rajab’s legacy is deeply embedded in nurturing innovation, enhancing educational experiences, and fostering sustainable digital transformation. With an eye on the future, his upcoming initiatives and research are expected to further integrate AI for societal good, especially in education, healthcare, and smart living.

📝 FINAL NOTE

Dr. Murad Al-Rajab exemplifies the modern academic—visionary, innovative, and community-driven. His balanced contributions in research, teaching, leadership, and student empowerment make him a key figure in the region’s academic and technological advancement. As technology evolves, so does his mission: to build smarter, more sustainable futures through the power of education and innovation.

 📚 TOP NOTES PUBLICATIONS

Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: Computer Methods and Programs in Biomedicine

    • Year: 2017

Title: Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP: Abu Dhabi Intelligent Parking”

    • Authors: S.A. Alkheder, M.M. Al Rajab, K. Alzoubi

    • Journal: Alexandria Engineering Journal

    • Year: 2016

Title: A framework model using multifilter feature selection to enhance colon cancer classification

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: PLOS ONE

    • Year: 2021

Title: Quality Pointpal: AI-enhanced redefinition of social networking for sustainable digital usage and genuine human connections

    • Authors: O.O. Ahmed, S.I.T. Islam, S.I. Hamdan, M. Al-Rajab, I. Alqatawneh, A. Al-Sartawi, et al.

    • Journal: Operational Research in Engineering Sciences: Theory and Applications

    • Year: 2024

Title: AI-Powered Smart Book: Enhancing Arabic Education in Palestine with Augmented Reality

    • Authors: M. Al Rajab, S. Odeh, S. Hazboun, E. Alheeh

    • Journal: International Symposium on Ambient Intelligence

    • Year: 2023

Yameng He | Predictive Analytics | Best Researcher Award

Ms. Yameng He | Predictive Analytics | Best Researcher Award

China University of Mining and Technology | China

PUBLICATION PROFILE

Scopus

👩‍🎓 Summary

Yameng He is a dedicated Ph.D. candidate in Civil Engineering at China University of Mining and Technology. Her research focuses on the geophysical evolution of deep rock masses, the damage mechanisms of concrete structures, and CO2 geological storage. With several published papers in renowned journals and multiple patents in the civil engineering sector, she is a promising young researcher in her field.

🎓 Education

Yameng He earned her Ph.D. in Civil Engineering from China University of Mining and Technology (2020–Present), following her M.S. in Civil Engineering from Shijiazhuang Tiedao University (2017–2020). She completed her B.S. in Civil Engineering at the North China Institute of Aerospace Engineering in 2017.

💼 Professional Experience

Currently, as a Ph.D. student at China University of Mining and Technology, Yameng is engaged in cutting-edge research related to geophysical testing in deep rock masses, CO2 geological storage, and the durability of cement materials. Her work aims to improve infrastructure safety and sustainability in challenging environments.

📚 Academic Publications

Yameng He has co-authored several influential papers, such as the one on the evolution of resistivity and permeability of wellbore cement in geological CO2 storage conditions, published in Construction and Building Materials. She has also contributed to research on concrete damage processes under uniaxial compression and participated in the Annual Meeting of Chinese Geoscience Union (CGU-2021).

🔧 Technical Skills

Yameng’s technical expertise includes the development of multi-field geophysical parameter testing devices, numerical simulations for concrete damage analysis, ultrasonic testing of materials under stress, and deep learning applications for structural health monitoring. These skills enable her to approach complex engineering problems from a highly analytical perspective.

🎓 Teaching Experience

Although primarily focused on her research, Yameng has also participated in teaching activities at China University of Mining and Technology, sharing her knowledge and helping to mentor the next generation of civil engineering professionals.

🔬 Research Interests

Her research spans a range of topics including the geophysical evolution of deep rock masses under hydrothermal conditions, ultrasonic damage detection in concrete, and the impact of CO2 on cement materials in geological storage. Yameng is particularly focused on advancing technologies in multi-physics coupling and structural health monitoring.

📚 Top Notes Publications 

Evolution of resistivity and permeability of wellbore cement after corrosion by supercritical CO2 in geological CO2 storage conditions
  • Authors: Y. He, Yameng, L. Song, Lei, P.G. Ranjtih, P. G., Z. Wang, Zukun, L. Wu, Linjun

  • Journal: Construction and Building Materials

  • Year: 2025

 

Radwa Rady | Biomedical Engineering | Best Researcher Award

Dr. Radwa Rady | Biomedical Engineering | Best Researcher Award

Alexandria University | Egypt

PUBLICATION PROFILE

Scopus

Orcid

🌟 INTRODUCTION

Dr. Radwa Rady is a meticulous, bilingual professional with a broad range of skills in IT applications, biomedical engineering, and communication technologies. With her extensive expertise in both theoretical and practical aspects of biomedical technology, Dr. Rady has made significant contributions to academia, research, and industry. Fluent in Arabic and English, she is well-versed in effectively communicating complex technical concepts while also excelling at multitasking and problem-solving. Dr. Rady’s work is characterized by her dedication to innovation and academic excellence, seeking to create lasting contributions in the field of Biomedical Engineering, IT, and Electrical Communication.

🎓 EARLY ACADEMIC PURSUITS

Dr. Radwa’s journey into the world of academia and technology began at Alexandria University, where she earned her Bachelor of Engineering in Communication. This foundational education allowed her to delve deeper into subjects such as digital signal processing and biomedical devices. She continued to build on this knowledge with her Master’s degree in Biomedical Devices, focusing on digital signal processing techniques to analyze respiratory wheeze sounds in children. Her early education laid the groundwork for her extensive research and innovations in biomedical engineering, solidifying her as a dedicated scholar and researcher in the field.

💼 PROFESSIONAL ENDEAVORS

Dr. Radwa Rady’s professional career is marked by diverse roles across academia, research, and software development. From her tenure as a Software Developer at VP .Net, where she contributed to significant projects for the Water and Wastewater Authority and Cataract Hospital, to her current role as Assistant Professor at Inaya Medical Colleges in Riyadh, she has continually sought to bridge the gap between theoretical knowledge and real-world applications. As an instructor, Dr. Rady has taught a wide range of subjects, including digital signal processing, biomedical engineering, and programming. Her leadership skills extend beyond the classroom as she serves on several faculty committees and supervises graduate students’ final projects.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Rady’s research focuses on the intersection of biomedical engineering, digital signal processing, and neurofeedback treatments. One of her primary research endeavors is her thesis on “Quantitative EEG and Neurofeedback Treatment,” which aims to improve attention skills in children with ADHD through real-time EEG analysis and neurofeedback. Her work also extends to the field of respiratory wheeze sound analysis, where she developed a system to assist physicians in diagnosing respiratory conditions in children using digital signal processing. These innovative projects demonstrate Dr. Rady’s commitment to advancing medical technology and improving patient outcomes.

🌍 IMPACT AND INFLUENCE

Dr. Rady has made a significant impact through her involvement in both teaching and research. As an academic, she not only imparts knowledge to her students but also actively contributes to the academic community through workshops and lectures on emotional intelligence and ethical considerations in AI research. Her research, including the published papers and patent application related to EEG analysis for ADHD treatment, demonstrates her ability to influence both academic discourse and practical applications in healthcare technology. Dr. Rady’s work is pushing the boundaries of medical engineering and continues to inspire new generations of researchers and students.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Radwa Rady’s contributions to academic research have been widely recognized in peer-reviewed journals. She has authored and co-authored several papers, including one published in the Alexandria Engineering Journal and another in Neural Computing and Applications. She also holds a patent for her work on real-time EEG signal analysis for ADHD treatment. Dr. Rady’s publications, which are accessible through DOI references, have garnered attention within both the biomedical engineering and computer science fields, reflecting the significance of her research contributions.

🏅 HONORS & AWARDS

Dr. Rady’s exceptional academic performance has been consistently recognized. She achieved a GPA of 3.888 in her Doctorate of Science in Engineering at Alexandria University and a GPA of 3.788 in her Master’s degree. Additionally, her research papers have been published in prestigious journals such as Elsevier and Springer. Her work has also led to the submission of a patent for her innovative EEG analysis application, further cementing her status as a leading researcher in biomedical engineering.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Rady’s work holds the potential for long-term impact, particularly in the field of healthcare technology. Through her development of neurofeedback applications and digital signal processing systems, she is helping to shape the future of treatment for neurological conditions like ADHD. As a leader in both academia and research, Dr. Rady aims to continue advancing these fields by fostering collaborations and encouraging innovation among her students and colleagues. Her continued research promises to bring about transformative changes in the integration of biomedical engineering and artificial intelligence in medical practices.

📝 FINAL NOTE

Dr. Radwa Rady’s journey in academia, research, and professional development stands as a testament to her dedication to improving the lives of others through technology and education. From her work on respiratory wheeze sound analysis to her groundbreaking EEG research for ADHD, Dr. Rady is committed to making a meaningful difference in the world of biomedical engineering. Her future endeavors promise to build on her solid foundation, leaving a lasting legacy for generations to come.

📚 TOP NOTES PUBLICATIONS

Enhancing affordable EEG to act as a quantitative EEG for inattention treatment using MATLAB
    • Authors: Radwa Magdy Rady, Doaa Elsalamawy, M. R. M. Rizk, Onsy Abdel Alim, Nancy Diaa Moussa

    • Journal: Neural Computing and Applications

    • Year: 2025

A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children
    • Authors: Rady, R.M.; Moussa, N.D.; El Salmawy, D.H.; M Rizk, M.R.; Alim, O.A.

    • Journal: Alexandria Engineering Journal

    • Year: 2022

Respiratory Wheeze Sound Analysis Using Digital Signal Processing Techniques
    • Authors: Rady, R.M.; Akkary, I.M.E.; Haroun, A.N.; Fasseh, N.A.E.; Azmy, M.M.

    • Journal: Proceedings – 7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015

    • Year: 2015

Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

Dr. Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

Universidad Autónoma de Madrid | Spain

PUBLICATION PROFILE

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INTRODUCTION 👩‍🔬

Dr. Isabel Lastres-Becker is an Associate Professor at the Universidad Autónoma de Madrid, specializing in biochemistry and neurodegenerative diseases. With over 20 years of research experience, her scientific work primarily focuses on the molecular mechanisms of neurodegeneration, including oxidative stress, neuroinflammation, and proteinopathies. Her contributions span several neurodegenerative disorders, including Parkinson’s disease, Alzheimer’s, ALS, and Huntington’s disease.

EARLY ACADEMIC PURSUITS 🎓

Dr. Lastres-Becker completed her Licenciatura en Ciencias Químicas (Bachelor’s degree in Chemistry) with a specialization in Biochemistry from Universidad Complutense de Madrid in 1997. She later earned her PhD in Biochemistry in 2003 from the same institution, with a focus on neurodegenerative diseases. Her doctoral research was awarded the prestigious European mention.

PROFESSIONAL ENDEAVORS 👩‍🏫

Throughout her career, Dr. Lastres-Becker has held various academic and research positions. She is currently an Associate Professor at the Universidad Autónoma de Madrid since October 2021, after having previously served as a Ramón y Cajal researcher and Postdoctoral Researcher in Spain and Germany. Her experience in both the academic and research environments has greatly contributed to her expertise in neurodegenerative diseases.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Lastres-Becker’s research contributions have had a significant impact on the understanding of neurodegenerative diseases. Her work has focused on various aspects:

  • Cannabinoid System in Huntington’s Disease: Dr. Lastres-Becker explored how the dysregulation of the endogenous cannabinoid system affects Huntington’s disease. Her work laid the groundwork for clinical trials examining the neuroprotective effects of cannabinoids.
  • Parkinson’s Disease: She demonstrated how cannabinoid receptors, particularly CB1, are involved in neuroinflammation in Parkinson’s disease, and her research suggested potential therapeutic targets for modulating microglial activity.
  • Ataxin-2 in Spinocerebellar Ataxia: She was the first to identify the role of ataxin-2 in metabolism and protein synthesis, as well as its involvement in SCA2 neurodegeneration.
  • NRF2 Transcription Factor: Dr. Lastres-Becker’s research on NRF2 has revealed its central role in neurodegenerative diseases. She showed how NRF2’s involvement in inflammatory processes could be a therapeutic target, particularly in the context of Parkinson’s disease and tauopathies.
  • Neuron-Glia Communication: In Alzheimer’s disease, Dr. Lastres-Becker identified how neurons with overexpressed TAU protein release fractalkine (CX3CL1), triggering neuroinflammation and tau-related neurodegeneration.

IMPACT AND INFLUENCE 🌍

Dr. Lastres-Becker’s research is not only impactful within the academic sphere but also in the broader scientific and clinical communities. She serves as an external collaborator with several research groups and is a reviewer for high-impact scientific journals. Additionally, her collaborations with international research agencies and companies have advanced the therapeutic exploration of neurodegenerative diseases.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Lastres-Becker has authored more than 65 publications, contributing significantly to neurodegenerative disease research. Some of her high-impact publications include studies on the cannabinoid system, NRF2 modulation, and tauopathies, with her work frequently cited in the fields of neurobiology and pharmacology. These studies have not only contributed to scientific knowledge but have also provided the foundation for potential clinical therapies.

HONORS & AWARDS 🏆

Throughout her career, Dr. Lastres-Becker has received numerous awards and grants, including funding from the Spanish Ministry of Science and Innovation. Her work has been recognized through various prestigious research projects aimed at studying and developing therapeutics for Parkinson’s disease, ALS, and Alzheimer’s disease.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking ahead, Dr. Lastres-Becker continues to contribute to the advancement of therapeutic strategies for neurodegenerative diseases. She is currently involved in various cutting-edge research projects focused on the roles of NRF2, cannabinoids, and proteostasis. Her future work aims to bridge the gap between preclinical discoveries and clinical applications, ultimately improving treatment outcomes for patients with these devastating conditions.

TOP NOTES PUBLICATIONS 📚

Model organisms for investigating the functional involvement of NRF2 in non-communicable diseases
    • Authors: A.I. Rojo, B. Buttari, S. Cadenas, I.P. Trougakos, A.T. Dinkova-Kostova
    • Journal: Redox Biology
    • Year: 2025
Investigation in the cannabigerol derivative VCE-003.2 as a disease-modifying agent in a mouse model of experimental synucleinopathy
    • Authors: S. Burgaz, E. Navarro, S. Rodríguez-Carreiro, E.E. Muñóz, J.J. Fernández-Ruiz
    • Journal: Behavioral and Brain Functions
    • Year: 2024
Beneficial Effect of Dimethyl Fumarate Drug Repositioning in a Mouse Model of TDP-43-Dependent Frontotemporal Dementia
    • Authors: I. Silva-Llanes, R. Martín-Baquero, A. Berrojo-Armisen, E. De Lago, I. Lastres-Becker
    • Journal: Antioxidants
    • Year: 2024
Biomarkers of NRF2 signalling: Current status and future challenges
    • Authors: C. Morgenstern, I. Lastres-Becker, B.C. Demirdogen, A. Cuadrado, I.M. Copple
    • Journal: Redox Biology
    • Year: 2024
RIPK1 expression and inhibition in tauopathies: implications for neuroinflammation and neuroprotection
    • Authors: I. Silva-Llanes, E. Madruga, A.R. Martínez, I. Lastres-Becker
    • Journal: Frontiers in Neuroscience
    • Year: 2024

Hunida Gindil Abu Backer | Social Impact | Best Researcher Award

Dr. Hunida Gindil Abu Backer | Social Impact | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Author Profile

Orcid

Googles Scholar

📚 Early Academic Pursuits

Dr. Hunida Gindil Abu Backer’s academic journey began with her pursuit of higher education in Radio and Television. She completed her Ph.D. in Radio and Television from Omdurman Islamic University in 2011. Her research thesis, titled “The economics of the media and its impact on the production of television programs: An analytical study of Sudanese channels,” reflects her focus on understanding media economics and its practical influence. She had earlier obtained an MA in Radio and Television (2006) and a BA in Press and Publication (1995), both from renowned institutions in Sudan, laying the groundwork for her career in Mass Communication.

🎓 Professional Endeavors

Dr. Hunida’s career has been defined by a strong academic presence, spanning various educational institutions across multiple countries. She has been an Assistant Professor of Mass Communication at Abu Dhabi University since August 2020, where she continues to contribute significantly to the Department of Mass Communication. Prior to that, she worked at Al Ghurair University, Dubai and Emirates College of Technology, Abu Dhabi, showcasing her diverse teaching experiences. She also served part-time at the Sudan Academy for Communication Sciences and as Head of the Department of Public Relations at Sudan Civil Aviation, providing her expertise in both academia and professional media roles.

📝 Contributions and Research Focus On Social Impact 

Dr. Hunida’s research has consistently focused on the impact of media economics and the media industry’s development, particularly in Sudan and the Arab region. Her scholarly works have been published in Arab scientific refereed journals, contributing to the understanding of media production dynamics and its economic implications. Furthermore, she actively participates in international scientific conferences, where she shares insights on the evolving landscape of mass communication.

Her research is aimed at analyzing the practices and developments in media economics, television programming, and advertising production. Her academic work combines theory and practical industry insights, making her a key contributor to mass communication studies.

🌍 Impact and Influence

Dr. Hunida’s influence extends beyond research, as she has a direct impact on the learning outcomes of students in her classes. As an educator, she strives to shape the future of the next generation of mass communication professionals. She employs modern teaching methodologies, blending virtual classrooms, interactive content, and adaptive learning technologies to meet the needs of diverse learners. This approach has helped students gain valuable practical knowledge in development communication, international communication, and advertising, along with skills such as teamwork and critical thinking.

Her leadership in digital education tools, including Microsoft Teams, Blackboard, and Sway, has ensured that her students remain engaged and prepared for the challenges of the digital media landscape.

📑 Academic Cites and Publications

Dr. Hunida’s scholarly contributions have been widely recognized in the academic community, particularly within the Arab region. Her work has been cited in various academic papers and journals related to media studies and communication research. These citations reflect her significant role in advancing academic discourse in mass communication and its practical applications, particularly in media economics and the impact of television programming in the Arab world.

🛠️ Technical Skills

Dr. Hunida is highly proficient in technological tools that enhance both teaching and research in mass communication. Some of her notable skills include:

  • Online Teaching: Familiarity with virtual classes, distance learning platforms such as Microsoft Teams, and Blackboard for assessments.
  • Content Creation: Proficient in using Sway to create responsive content, and H5P for interactive learning activities.
  • Assessment Tools: Expertise in using Respondus Lockdown Browser for secure online assessments.
  • Project Management: Utilizes Microsoft Planner for organizing and managing academic projects effectively.

These technical skills have allowed her to adapt quickly to the evolving needs of digital education and enhance the learning experience for her students.

👩‍🏫 Teaching Experience

Dr. Hunida brings 14 years of teaching experience to her role as an Assistant Professor. She has taught a wide array of undergraduate courses, with a particular emphasis on Development Communication, International Communication, Advertising, and Research Methods. Her teaching philosophy is rooted in encouraging students to think critically and creatively about mass communication and its societal impact.

She employs a student-centered approach, engaging her students through discussions, group projects, and real-world examples that illustrate the principles being taught. She believes in fair and transparent evaluations, ensuring students understand the reasoning behind their grades while encouraging collaborative learning to enhance their communication and teamwork skills.

🌟 Legacy and Future Contributions

Dr. Hunida’s future aspirations include contributing to the further integration of technology in education and continuing her work to shape the next generation of mass communication experts. She envisions a world where her students not only excel academically but also become leaders in media industries, equipped with the skills and critical thinking needed for success.

Through her ongoing commitment to teaching excellence, research in media economics, and technological innovation in education, Dr. Hunida aims to leave a lasting legacy in the academic and professional worlds of Mass Communication.

📑 Notable Publications 

Article Title: The contents of interactive media programs and their role in the consolidation of human values
    • Author: Hunida Gindil
    • Journal: AL-Ustath Journal Social Science Journal
    • Year: 2019-12-27
Article Title: The Radio programs Treating of Development and citizenship values
    • Author: Hunida Gindil
    • Journal: Route Educational and Social Science Journal
    • Year: 2019-03-15
Article Title: The effectiveness of interactive radio programs in promotion of social value awareness
    • Author: Hunida Gindil
    • Journal: Route Educational and Social Science Journal
    • Year: 2018-07-13
Article Title: Recruitment of new media in the consolidation of interactive value
    • Author: Hunida Gindil
    • Journal: Route Educational and Social Science Journal
    • Year: 2018-03-05
Article Title: Recruitment of radio programs in the consolidation of the values of sustainable development
    • Author: Hunida Gindil
    • Journal: Journal of Research and Media Studies, Al-Shorouq Academy
    • Year: 2017-07-07
Article Title: The Sudanese press strategy in facing terrorism
    • Author: Hunida Gindil
    • Journal: Institute of Higher Media, Al-Shorouq Academy
    • Year: 2016-07-01

Neda Fayyazi | Bioinformatics | Excellence in Innovation

Dr. Neda Fayyazi | Bioinformatics | Excellence in Innovation

ogen/ medical iincubator, Iran

 Author Profile 📚

Google Scholar

Early Academic Pursuits 🎓

Dr. Neda Fayyazi’s academic journey is marked by significant achievements, beginning with her Ph.D. in Pharmaceutical and Medicinal Chemistry from Isfahan University of Medical Sciences, which she completed between February 2015 and October 2019. Her outstanding academic performance earned her a top rank (A) with a GPA of 3.60. Dr. Fayyazi’s thesis, titled Molecular modeling, synthesis, and biological evaluation of hybrid multi-target iron chelators for anticancer and antimalarial applications, was highly regarded, securing an Excellent Rank (A). Her interdisciplinary focus on combining computational techniques and medicinal chemistry positions her as an emerging leader in the field.

Professional Endeavors 💼

Dr. Fayyazi’s professional experience spans academia and industry, with roles in pharmaceutical companies and research institutions. She has worked with leading organizations, including TPCO Holding, Pars Darou Pharmaceutical Company, and Barkat Holding. Her roles involved product development, technology transfer, and research in the areas of pharmaceutical formulations, softgel production, and drug discovery. As a board member of Ozhan Pharma Group and an active participant in various projects, Dr. Fayyazi continues to bridge the gap between scientific research and commercial application.

Contributions and Research Focus 🔬

Dr. Fayyazi’s research contributions are primarily in the field of Medicinal Chemistry, with a focus on drug design, molecular modeling, and hybrid molecule synthesis. Her work on molecular dynamics simulations and protein-ligand interactions using cutting-edge tools like Gromacs, GOLD, and Discovery Studio has been instrumental in advancing the understanding of drug interactions at the molecular level. Additionally, she is passionate about developing novel drug delivery systems, particularly in sustained-release formulations, and exploring natural products for therapeutic potential. Her research integrates AI and machine learning approaches in drug discovery, a testament to her forward-thinking methodology.

Impact and Influence 🌍

Dr. Fayyazi has had a significant impact on the pharmaceutical industry and academia through her work in drug discovery, technology transfer, and industry collaboration. Her expertise in bioassay-guided screening and cancer therapy research has led to breakthroughs in medicinal chemistry, especially in the development of multi-target anticancer agents. As a member of various prestigious associations such as the European Bioinformatics Association and the American Chemical Society, she has contributed to the global advancement of biotechnology and pharmaceutical sciences. Her work has garnered recognition, including a prize for innovative ideas in drug research at the Euro Chemistry Conference in Berlin (2019).

Academic Cites and Research Recognition 📑

Dr. Fayyazi’s academic publications and research outputs are highly cited in the fields of molecular modeling and pharmaceutical sciences. Her collaborations with research institutions and pharmaceutical companies have cemented her reputation as a thought leader in medicinal chemistry. Notably, her research on iron chelators and cancer treatment has positioned her as a pivotal figure in advancing drug discovery methodologies. Her work is frequently referenced in studies related to drug design, molecular dynamics, and natural product research.

Technical Skills and Expertise 🧑‍🔬

Dr. Fayyazi’s technical proficiency extends across a broad spectrum of advanced scientific methods and tools. She is highly skilled in QSAR (Quantitative Structure-Activity Relationship), molecular dynamics simulations, and protein-ligand interactions. Her ability to synthesize hybrid compounds, coupled with her expertise in computational chemistry and machine learning, allows her to investigate complex biochemical interactions and design novel therapeutic agents. Furthermore, her knowledge of Linux environments, scripting, and drug discovery processes in natural products underscores her broad technical competence.

Teaching Experience 📚

Dr. Fayyazi’s passion for teaching is evident in her role as an educator at Isfahan University of Medical Sciences, where she has taught undergraduate students in organic chemistry, pharmacology, and computational chemistry. She has also supervised and mentored numerous master’s and Ph.D. students in the fields of medicinal chemistry and bioassays. Her teaching methods emphasize interdisciplinary approaches, integrating cutting-edge technology and scientific research into practical applications.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Fayyazi’s future contributions are poised to continue shaping the pharmaceutical and biotechnology sectors. Her ongoing projects in controlled release formulations, softgel technology transfer, and sustained-release drug delivery systems demonstrate her commitment to improving patient outcomes through innovative therapeutic solutions. As she works to bridge the gap between academic research and industry applications, Dr. Fayyazi aims to inspire the next generation of scientists and continue her impactful work in drug design and natural product research.

Honor and Awards 🏆

Dr. Fayyazi’s career has been punctuated with numerous accolades, including the Best Score in the National Entrance Exam for Pharmaceutical Projects in 2001, the Productivity Management Prize at Soha Pharmaceutical Company (2010), and the prestigious PhD Scholarship for Medicinal Chemistry at Isfahan University. These awards reflect her unwavering dedication to excellence and innovation in both academic and industrial settings.

 

Top Noted Publications 📖

Molecular dynamics simulation and 3D-pharmacophore analysis of new quinoline-based analogues with dual potential against EGFR and VEGFR-2
    • Authors: N. Fayyazi, A. Fassihi, S. Esmaeili, S. Taheri, J.B. Ghasemi, L. Saghaie
    • Journal: International Journal of Biological Macromolecules
    • Year: 2020
Pharmacophore modeling, synthesis, scaffold hopping and biological β-Hematin inhibition interaction studies for anti-malaria compounds
    • Authors: N. Fayyazi, S. Esmaeili, S. Taheri, F.F. Ribeiro, M.T. Scotti, L. Scotti, …
    • Journal: Current Topics in Medicinal Chemistry
    • Year: 2019
Molecular dynamics simulation, 3D-pharmacophore and scaffold hopping analysis in the design of multi-target drugs to inhibit potential targets of COVID-19
    • Authors: N. Fayyazi, T. Mostashari-Rad, J.B. Ghasemi, M.M. Ardakani, F. Kobarfard
    • Journal: Journal of Biomolecular Structure and Dynamics
    • Year: 2022
Design, synthesis, in silico studies, and antiproliferative evaluations of novel indolin-2-one derivatives containing 3-hydroxy-4-pyridinone fragment
    • Authors: P. Shirvani, N. Fayyazi, S. Van Belle, Z. Debyser, F. Christ, L. Saghaie, …
    • Journal: Bioorganic & Medicinal Chemistry Letters
    • Year: 2022
Phytochemical analysis and purification of chief components of Ononis spinosa
    • Authors: N. Fayyazi, F. Naghibi, S. Taheri
    • Journal: N/A
    • Year: 2014
A new insight into the mechanism of loading of Granisetron, Naltrexone and Risperidone in poly (ortho ester) and poly (lactic-co-glycolic acid) as the controlled release drug
    • Authors: L. Karami, N. Fayyazi, M. Akbari, A. Molaei-Baghbanan, M. Maaza
    • Journal: Journal of Drug Delivery Science and Technology
    • Year: 2024

Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Nanjing University of Science and Technology , China

Professional Profile👨‍🎓

Early Academic Pursuits🎓

Muhammad Ahsan Saleem embarked on his academic journey in Mechatronics Engineering at the University of Engineering and Technology, Taxila, Pakistan, earning his Bachelor of Science degree in 2013. His passion for interdisciplinary studies led him to pursue a Master of Engineering in Mechanical Engineering at Nanjing University of Science and Technology, China, where he further advanced to a Doctor of Engineering in the same field. This strong foundation highlights his unwavering commitment to academic excellence and innovation.

Professional Endeavors 💼

Ahsan’s professional career spans roles in research and industry, blending technical expertise with practical applications. At Nanjing University of Science and Technology, he has been instrumental in project planning, performance metrics development, and leveraging machine learning to enhance experimental research. His tenure as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai demonstrated his capability to design and implement cutting-edge solutions such as flexible bend control devices for textile machines and performance analysis tools for electric motors. Earlier, at Attock Refinery Limited, Pakistan, he contributed to HVAC systems’ compliance and operational efficiency.

Contributions and Research Focus🔬

Ahsan’s research contributions emphasize advancing 3D printing technologies and exploring innovative materials. His work on optimizing inkjet printing processes has led to significant improvements in dimensional precision and edge roughness. Additionally, his investigations into high-viscosity ink jetting behavior and the development of 3D-printed electrical resistors underscore his interdisciplinary approach. Projects like silicon carbide’s influence on selective laser processing and functional electronics printing further cement his role as a pioneer in material science and engineering.

Impact and Influence🌍

Through impactful research and professional achievements, Ahsan has influenced the fields of mechanical engineering and material science. His advancements in experimental design, coupled with data-driven methodologies, have contributed to new standards in precision manufacturing and electronics. His dedication to innovation fosters collaboration, driving significant contributions to engineering and technological progress globally.

Academic Cites and Technical Skills📜

Ahsan boasts a diverse technical skill set, ranging from programming (C++, Python, MATLAB) to simulation tools like SolidWorks and Simulink. His proficiency in machine learning and data analysis is evident in certifications from leading institutions, including Stanford University, IBM, and the University of Michigan. These skills are complemented by his expertise in microcontroller programming and platform integration using Raspberry Pi and Arduino.

Teaching and Mentorship Experience👨‍🏫

Ahsan’s dedication to academia extends beyond research, as evidenced by his volunteering roles. At the School of International Education, NJUST, he mentored freshmen and organized sports events, fostering a supportive environment for students. His involvement with the Environment Protection Society at UET highlights his commitment to community and educational outreach.

Legacy and Future Contributions

Ahsan’s ongoing endeavors in computer vision, image processing, and exploratory data analysis align with his vision to harness cutting-edge technologies for real-world impact. His interdisciplinary approach, combining mechanical engineering with data science and material innovation, sets a strong precedent for future contributions in sustainable technologies and precision engineering. He aspires to leave a lasting legacy as a researcher, mentor, and innovator driving advancements across industries.

Top Noted Publication 📖

  • Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina
    • Authors: Rehman, A.U., Saleem, M.A., Liu, T., Pitir, F., Salamci, M.U.
    • Journal: Materials
    • Year: 2022
  • Quantized Event-triggered Feedback Control under Fuzzy System with Time-varying Delay and Actuator Fault
    • Authors: Aslam, M.S., Qaisar, I., Saleem, M.A.
    • Journal: Nonlinear Analysis: Hybrid Systems
    • Year: 2020

zahrasadat momeni | Game theory | Best Researcher Award

Mrs. zahrasadat momeni | Game theory | Best Researcher Award

Concordia University, Canada

👨‍🎓Professional Profile

Google Scholar Profile

📝 Summary

Mrs. Zahrasadat Momeni is a Ph.D. candidate at Concordia University, Canada, specializing in Structural Control Engineering. With advanced expertise in bridge dynamics, seismic analysis, and control systems, she designs systems that enhance bridge resilience to seismic activity. Zahrasadat’s approach combines cutting-edge software tools and AI/ML techniques to improve structural safety and performance.

🎓 Education

Zahrasadat holds a Ph.D. in Structural Control Engineering from Concordia University (2018–Present). She also completed a Post Graduate Degree in AI & Machine Learning at Purdue University (2021–2022). Prior to this, she earned her Master’s (2014–2016) and Bachelor’s (2008–2013) degrees in Civil Engineering from Sharif University of Technology and K.N.T University of Technology, respectively.

💼 Professional Experience

At Concordia University, Zahrasadat works as a Research and Analysis Specialist in Bridge Dynamics and Seismic Design. She develops advanced models to assess bridge behavior under seismic conditions and designs control systems to reduce vibrations and increase resilience. Previously, at Sharif University, she worked as a Research Assistant, where she led the seismic analysis and finite element modeling of long-span bridges.

📚 Academic Citations

Her research on bridge control systems and seismic resilience has been cited in numerous civil engineering publications. Zahrasadat continues to contribute to the academic community with ongoing work on seismic design and structural control systems.

💻 Technical Skills

Zahrasadat is proficient in structural analysis software such as SAP2000, ETABS, ABAQUS, CSiBridge, and MATLAB/Simulink. She is also skilled in Python programming and familiar with machine learning and data science tools like Jupyter Notebook and Visual Studio Code.

👩‍🏫 Teaching Experience

As a research assistant and teaching collaborator at Concordia University, Zahrasadat has provided hands-on guidance in seismic design and bridge dynamics. She has also mentored students in the use of finite element analysis and structural control systems.

🔬 Research Interests

Zahrasadat’s research interests focus on enhancing the seismic resilience of bridge structures through innovative control systems and AI/ML integration. She aims to improve bridge performance under dynamic loads and reduce the risk of collapse during seismic events.

 

📖Top Noted Publications

Intelligent control methodology for smart highway bridge structures using optimal replicator dynamic controller

Authors: Z. Momeni, A. Bagchi
Journal: Civil Engineering Journal
Year: 2023

Multi-objective control optimization of isolated bridge using replicator controller and NSGA-II

Authors: Z. Momeni, A. Bagchi
Journal: Heliyon
Year: 2023

Optimal replicator dynamic controller for semi-active control of long span cable stayed bridge with considering special variability of seismic excitations

Authors: Z. Momeni, A. Bagchi
Journal: Structures
Year: 2023

farnaz shokraneh | personalized medicine | Best Researcher Award

Ms. farnaz shokraneh | personalized medicine | Best Researcher Award

Abo Akademi University, Finland

👨‍🎓Professional Profile 

Orcid Profile

👩‍🔬 Summary

Ms. Farnaz Shokraneh is an experienced pharmaceutical professional currently working as a Doctoral Researcher in Pharmaceutical Development and Medical Technology at Åbo Akademi University in Turku, Finland. With a solid academic background and extensive practical experience in pharmaceutical quality assurance, regulatory compliance, and research, she brings valuable insights into the development of pharmaceutical products and systems. She is committed to advancing personalized medicine and improving quality control in the pharmaceutical industry.

🎓 Education

Ms. Shokraneh holds a Doctor of Pharmacy degree, equivalent to a Finnish Master’s, from Islamic Azad University, Tehran, Iran (2007-2012). She furthered her academic journey with a Master’s in Pharmaceutical Research from Freie Universität Berlin, Germany (2022-2024). Currently, she is pursuing her doctoral research in Pharmaceutical Development and Medical Technology at Åbo Akademi University, Turku, Finland (2022–present).

💼 Professional Experience

Ms. Shokraneh has accumulated extensive experience in various roles within the pharmaceutical industry. She is currently serving as a Quality Manager at CurifyLabs Oy in Helsinki, Finland, since September 2022. Previously, she held the position of Quality Assurance Manager at Mofid Pharma under the license of Bayer Pharmaceutical Company (Dec 2020–Dec 2021). Additionally, she has worked at Modava Pharmaceutical under Novartis (Jul 2018–Jul 2020) and ATI Pharmed Pharmaceutical Co under StragenPharma and CHEMO Pharmaceutical licenses (Apr 2013–Jun 2017).

🛠️ Technical Skills

Ms. Shokraneh’s technical expertise encompasses pharmaceutical development, quality assurance, and regulatory compliance. She is proficient in analytical techniques such as HPLC, mass spectrometry, and micro NIR spectrophotometry. Her experience also extends to pharmacovigilance, safety monitoring, and statistical analysis for pharmaceutical applications, making her highly skilled in ensuring the safety, efficacy, and quality of pharmaceutical products.

🧑‍🏫 Teaching Experience

Although Ms. Shokraneh’s current focus is on research and industry roles, her vast knowledge and experience in the pharmaceutical field allow her to effectively mentor teams and share her expertise. She has contributed to the professional development of her colleagues and participated in educational training programs within the pharmaceutical sector.

🔬 Research Interests

Ms. Shokraneh’s primary research interests lie in pharmaceutical development and medical technology, with a particular focus on personalized medicine. She is passionate about improving drug safety and efficacy through innovations in automated pharmacy compounding, quality control, and exploring new methods for drug delivery and patient-specific treatment plans.

 

📖Top Noted Publications

Automated Non-Sterile Pharmacy Compounding: A Multi-Site Study in European Hospital and Community Pharmacies with Pediatric Immediate Release Propranolol Hydrochloride Tablets

Authors: Niklas Sandler Topelius, Farnaz Shokraneh, Mahsa Bahman, Julius Lahtinen, Niko Hassinen, Sari Airaksinen, Soumya Verma, Ludmila Hrizanovska, Jana Lass, Urve Paaver et al.

Journal: Pharmaceutics

Year: 2024

A Novel High Performance Liquid Chromatographic Method for Determination of Nystatin in Pharmaceutical Formulations by Box–Behnken Statistical Experiment Design

Authors: Farnaz Shokraneh

Journal: Iranian Journal of Pharmaceutical Research

Year: 2014

Comparative Studies of Cytotoxic Manufacturing Practices in Specialized Cancer Centers Against International Guidelines (ASHP, OSHA, HSE-UK)

Authors: Farnaz Shokraneh

Journal: FIP Congress

Year: 2012

Development and Validation of High-Performance Liquid Chromatography for Determination of Nystatin in Pharmaceutical Formulations

Authors: Farnaz Shokraneh

Journal: Research in Pharmaceutical Science

Year: 2012

A New HPLC Method for Determination of Losartan in Human Plasma and Its Application in Bioequivalence Studies

Authors: Farnaz Shokraneh

Journal: Oriental Journal of Chemistry

Year: 2012

Risks to Health Professionals from Hazardous Drugs in Iran: A Pilot Study of Understanding of Healthcare Team to Occupational Exposure to Cytotoxics

Authors: Farnaz Shokraneh

Journal: EXCLI Journal

Year: 2005

Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi at University of Utah, United States

 Professional Profiles👨‍🎓

 Early Academic Pursuits 🎓

Dr. Fatemeh Shah-Mohammadi completed her Master of Science in Electrical and Communication Engineering at Birjand University of Technology, where she laid the groundwork for her expertise in engineering and technology. She then pursued her PhD at Rochester Institute of Technology, specializing in Machine Learning. Her dissertation focused on “Machine Learning-enabled Resource Allocation in Underlay Cognitive Radio Networks,” demonstrating her commitment to applying advanced technologies in innovative ways.

Professional Endeavors 💼

Dr. Shah-Mohammadi currently serves as a Research Assistant Professor of Biomedical Informatics at the University of Utah, where she applies her skills in health informatics and clinical data science. Her professional journey includes significant roles as a Biostatistician II/NLP Engineer at Mount Sinai Health System and a postdoctoral fellow at the Icahn School of Medicine. These experiences have equipped her with a robust foundation in data analysis and machine learning applications across diverse domains.

Contributions and Research Focus 🔍

Dr. Shah-Mohammadi’s research primarily centers on the intersection of health informatics and machine learning. She has developed machine learning models that leverage cross-domain datasets to improve clinical outcomes. Notable projects include NLP-assisted pipelines for clinical note analysis and differential diagnosis, highlighting her dedication to enhancing healthcare delivery through technology.

Impact and Influence 🌍

Dr. Shah-Mohammadi’s work has significant implications for health informatics, particularly in the use of natural language processing (NLP) for clinical applications. Her publications in respected journals, such as the IEEE Open Journal of the Communications Society and Studies in Health Technology and Informatics, showcase her contributions to advancing knowledge in this field. Her research efforts aim to reduce diagnostic uncertainty and improve patient care outcomes, underscoring her influence in biomedical informatics.

Academic Cites 📚

Dr. Shah-Mohammadi’s scholarly output includes multiple peer-reviewed articles that have garnered citations and recognition within the academic community. Her ORCID and Google Scholar profiles further highlight her impact, showcasing a growing body of work that contributes to the fields of health informatics and machine learning.

Technical Skills 🛠️

Dr. Shah-Mohammadi is proficient in various technical areas, including:

  • Machine Learning and Data Science
  • Natural Language Processing
  • Statistical Analysis
  • Software Development for Biomedical Applications Her expertise enables her to build and implement sophisticated models that address real-world clinical challenges.

Teaching Experience 👩‍🏫

As an instructor at the University of Utah, Dr. Shah-Mohammadi teaches courses like “Generative AI in Healthcare” and “Intro to Programming.” Her teaching philosophy emphasizes the integration of cutting-edge technology with foundational principles, preparing students for future challenges in biomedical informatics.

Grants and Funding 💰

Dr. Shah-Mohammadi has actively sought and secured funding for her research initiatives. As the Principal Investigator for a project on automated live meta-analysis of clinical outcomes using generative AI, she demonstrates leadership in advancing research in health informatics. Her involvement as a co-investigator in various projects further highlights her collaborative spirit and dedication to impactful research.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Shah-Mohammadi aims to continue her work at the forefront of health informatics, leveraging machine learning and NLP to drive innovations in clinical practice. Her commitment to research, teaching, and community engagement positions her as a leading figure in the field, poised to make lasting contributions to both academia and healthcare.

📖 Top Noted Publications 

 Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: BioMedInformatics
Year: 2024

 Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer–Based Investigation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: JMIR Medical Informatics
Year: 2024

Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Diagnostics
Year: 2024

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access

Authors: Fatemeh Shah-Mohammadi, Hatem Hussein Enaami, Andres Kwasinski
Journal: IEEE Open Journal of the Communications Society
Year: 2021

 NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Studies in Health Technology and Informatics
Year: 2024

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program

Authors: W Cui, Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Healthcare Transformation with Informatics and Artificial Intelligence
Year: 2023