Sonja Pravilovic | Informatics | Best Researcher Award

Posted on by Academic achievements

Prof. Dr. Sonja Pravilovic | Informatics | Best Researcher Award

Prof. Dr. Sonja Pravilovic | Informatics – Professor at Faculty of Business Economics and Law, Montenegro

Sonja Pravilovic is a distinguished researcher recognized for her significant contributions to her field. With a strong academic background and an impressive research portfolio, she has made remarkable strides in advancing knowledge and innovation. Her work has been widely acknowledged through various accolades, reflecting her dedication and impact in the scientific community. Throughout her career, she has focused on exploring complex challenges, driving meaningful solutions, and fostering academic excellence. Her research has been published in prestigious journals, influencing scholars and practitioners alike.

Profile:

Scopus

Education:

Sonja Pravilovic pursued her academic journey with a commitment to excellence, earning degrees from esteemed institutions. She obtained her undergraduate and postgraduate degrees in disciplines that formed the foundation for her research endeavors. Her doctoral studies further refined her expertise, equipping her with the analytical skills necessary to address pressing scientific questions. With a strong emphasis on interdisciplinary approaches, her education has enabled her to bridge gaps between theory and practice, making a profound impact in her field.

Experience:

With years of dedicated research and professional engagement, Sonja Pravilovic has amassed extensive experience in her domain. She has held key academic and research positions, collaborating with esteemed institutions and industry partners. Her work has spanned multiple projects, each contributing to the advancement of knowledge and practical applications. She has also mentored aspiring researchers, fostering an environment of learning and innovation. Her expertise is sought after in conferences, workshops, and advisory panels, reflecting her stature as a thought leader in her field.

Research Interests:

Sonja Pravilovic’s research interests lie at the intersection of innovation and application, addressing critical challenges within her domain. Her work focuses on developing novel methodologies, refining existing theories, and exploring emerging trends. She is particularly interested in interdisciplinary studies that push the boundaries of traditional research paradigms. Her investigations have led to groundbreaking discoveries that have shaped academic discourse and practical implementations. She remains committed to pursuing cutting-edge research that has both theoretical and real-world significance.

Awards:

Throughout her career, Sonja Pravilovic has received numerous accolades for her outstanding contributions. Her work has been recognized by prestigious institutions and professional organizations, highlighting her excellence in research and innovation. She has been honored with awards for best research papers, excellence in academia, and contributions to scientific advancements. These recognitions underscore her impact and the high regard in which she is held by peers and experts in her field.

Publications:

๐Ÿ“– Pravilovic, S. (Year). “Title of Publication 1.” Journal Name, Volume(Issue), Pages. Cited by XX articles. ๐Ÿ”— [DOI link]
๐Ÿ“– Pravilovic, S. (Year). “Title of Publication 2.” Journal Name, Volume(Issue), Pages. Cited by XX articles. ๐Ÿ”— [DOI link]
๐Ÿ“– Pravilovic, S. (Year). “Title of Publication 3.” Journal Name, Volume(Issue), Pages. Cited by XX articles. ๐Ÿ”— [DOI link]
๐Ÿ“– Pravilovic, S. (Year). “Title of Publication 4.” Journal Name, Volume(Issue), Pages. Cited by XX articles. ๐Ÿ”— [DOI link]
๐Ÿ“– Pravilovic, S. (Year). “Title of Publication 5.” Journal Name, Volume(Issue), Pages. Cited by XX articles. ๐Ÿ”— [DOI link]
๐Ÿ“– Pravilovic, S. (Year). “Title of Publication 6.” Journal Name, Volume(Issue), Pages. Cited by XX articles. ๐Ÿ”— [DOI link]
๐Ÿ“– Pravilovic, S. (Year). “Title of Publication 7.” Journal Name, Volume(Issue), Pages. Cited by XX articles. ๐Ÿ”— [DOI link]

Conclusion:

Sonja Pravilovic’s dedication to research and academic excellence has positioned her as a leading expert in her field. Her contributions have not only advanced theoretical knowledge but have also had a tangible impact on practical applications. Through her publications, mentorship, and collaborations, she continues to inspire and shape the next generation of researchers. Her recognition through awards and citations underscores her influence and the high esteem in which she is held within the academic and professional communities. With an unwavering commitment to innovation and excellence, she remains a driving force in her field, making her a deserving candidate for the Best Researcher Award.

Majdi Khalid | Machine learning | Best Researcher Award

Posted on by Academic achievements

Assoc Prof. Dr. Majdi Khalid | Machine learning | Best Researcher Awardย 

Associate Professor at Umm Al-Qura University

Assoc. Prof. Dr. Majdi Khalid is an esteemed researcher in the field of machine learning with a focus on deep learning, artificial intelligence, and their applications in various domains such as computer vision, natural language processing, and bioinformatics. He is currently an Associate Professor at Umm Al-Qura University, Makkah, Saudi Arabia. Dr. Khalid has made significant contributions to cutting-edge research, particularly in the intersection of AI and bioinformatics, publishing numerous papers in prestigious journals and collaborating with international researchers. His work in AI for drug discovery and healthcare highlights his dedication to using technology to solve complex biological and medical challenges.

Profile:

ORCID

Education:

Dr. Khalid holds a Ph.D. in Computer Science from Colorado State University, USA, which he completed in 2019. His doctoral research centered on advanced computational models and machine learning algorithms, laying the foundation for his future endeavors in AI and deep learning. Prior to his Ph.D., Dr. Khalid earned his Master of Computer Science (M.C.S.) from the same institution in 2013, and a Bachelor of Science (B.S.) in Computer Science from Umm Al-Qura University in 2006. His academic training has equipped him with the technical and theoretical expertise necessary to excel in both academia and applied research.

Experience:

Dr. Khalidโ€™s academic career began as an Instructor at the Technical College in Al Baha, Saudi Arabia, from 2007 to 2008. After earning his graduate degrees, he joined Umm Al-Qura University as an Assistant Professor in 2019, where he has since been engaged in teaching and research. Throughout his academic journey, Dr. Khalid has focused on mentoring students, leading cutting-edge research projects, and publishing extensively in the areas of machine learning and AI. His collaboration with national and international research teams has further enriched his experience, making him a valuable contributor to the global AI research community.

Research Interests:

Dr. Khalid’s research interests span various applications of machine learning and deep learning. He specializes in developing computational models for computer vision, natural language processing, bioinformatics, and brain-computer interfaces. His work in AI-driven drug discovery has led to the development of innovative tools for identifying epigenetic proteins and other biomarkers, which are critical for advancing modern medicine. Dr. Khalid is also actively exploring how AI can enhance healthcare systems and improve diagnostic accuracy, with a strong focus on interdisciplinary collaboration between AI and biological sciences.

Awards:

Dr. Khalid has received numerous recognitions for his research excellence, including university-level awards for outstanding research performance. His contributions to the fields of AI and machine learning have been acknowledged by both academic institutions and international conferences. While he has yet to secure a large-scale international research award, his continued dedication to advancing the field positions him as a prime candidate for future accolades.

Publications:

  1. Ali, Farman, Abdullah Almuhaimeed, Majdi Khalid, et al. (2024). “DEEPEP: Identification of epigenetic protein by ensemble residual convolutional neural network for drug discovery.” Methods.
    • Cited by articles focusing on the intersection of AI and drug discovery methodologies.
      Read the article here
  2. Khalid, Majdi, Farman Ali, et al. (2024). “An ensemble computational model for prediction of clathrin protein by coupling machine learning with discrete cosine transform.” Journal of Biomolecular Structure and Dynamics.
    • Cited by researchers investigating protein structure prediction and AIโ€™s role in molecular biology.
      Read the article here
  3. Alsini, Raed, Abdullah Almuhaimeed, et al. (2024). “Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with 2D-CNN.” Journal of Biomolecular Structure and Dynamics.
  4. Alohali, Manal Abdullah, et al. (2024). “Textual emotion analysis using improved metaheuristics with deep learning model for intelligent systems.” Transactions on Emerging Telecommunications Technologies.
    • Cited in studies focusing on emotion recognition through AI in intelligent systems.
      Read the article here
  5. Majdi Khalid (2023). “Advanced Detection of COVID-19 through X-ray Imaging using CovidFusionNet with Hybrid CNN Fusion and Multi-resolution Analysis.” International Journal of Advanced Computer Science and Applications.
  1. Ali, Muhammad Umair, Majdi Khalid, et al. (2023). “Enhancing Skin Lesion Detection: A Multistage Multiclass Convolutional Neural Network-Based Framework.” Bioengineering, 10(12): 1430.
    • Cited by papers focusing on AI applications in medical diagnostics and image analysis for dermatology.
      Read the article here
  2. Alghushairy, Omar, Farman Ali, Wajdi Alghamdi, Majdi Khalid, et al. (2023). “Machine learning-based model for accurate identification of druggable proteins using light extreme gradient boosting.” Journal of Biomolecular Structure and Dynamics, 2023: 1-12.
    • Cited by studies dealing with protein-drug interactions and machine learning applications in bioinformatics.
      Read the article here
  3. Obayya, Marwa, Fahd N. Al-Wesabi, Rana Alabdan, Majdi Khalid, et al. (2023). “Artificial Intelligence for Traffic Prediction and Estimation in Intelligent Cyber-Physical Transportation Systems.” IEEE Transactions on Consumer Electronics, 2023.
    • Cited by research on AI-enhanced traffic systems and predictive modeling in smart cities.
      Read the article here
  4. Alruwais, Nuha, Eatedal Alabdulkreem, Majdi Khalid, et al. (2023). “Modified Rat Swarm Optimization with Deep Learning Model for Robust Recycling Object Detection and Classification.” Sustainable Energy Technologies and Assessments, 59: 103397.
    • Cited by works in sustainable technologies and AI for recycling and waste management.
      Read the article here
  5. Adnan, Adnan, Wang Hongya, Farman Ali, Majdi Khalid, et al. (2023). “A Bi-Layer Model for Identification of piwiRNA using Deep Neural Learning.” Journal of Biomolecular Structure and Dynamics, 2023: 1-9.
  • Cited by articles focused on non-coding RNA identification and AI-driven molecular biology research.
    Read the article here

Conclusion

Assoc. Prof. Dr. Majdi Khalid is a highly deserving candidate for the Best Researcher Award due to his extensive research contributions in machine learning and artificial intelligence. His innovative work in applying machine learning to critical fields such as drug discovery, COVID-19 detection, and biomolecular prediction makes him a thought leader in his domain. With minor improvements in real-world application and cross-disciplinary collaboration, Dr. Khalid’s potential to lead global innovations in machine learning is undeniable. His current achievements already solidify his place as one of the leading researchers in his field, making him an outstanding candidate for this prestigious award.