Wisal Zafar | Computer Science | Best Researcher Award

Mr. Wisal Zafar | Computer Science | Best Researcher Award

Lecturer at Cecos university of information technology and emerging sciences, Pakistan.

Mr. Wisal Zafar is a dedicated researcher and lecturer with a strong background in software engineering, focusing on artificial intelligence, machine learning, and deep learning applications in healthcare. Born on March 25, 1999, in Peshawar, Pakistan, he has consistently demonstrated a passion for advancing technology’s role in solving real-world problems. He has developed and published research that leverages machine learning for medical diagnoses, including brain tumor analysis and diabetes prediction. As a lecturer and Electronic Data Processing (EDP) Officer at Iqra National University, he is committed to mentoring students and contributing to the field through both teaching and research. His work is distinguished by his continuous learning, keeping pace with emerging trends in AI and big data. Mr. Zafar’s career is marked by his enthusiasm for interdisciplinary research, integrating software engineering with advancements in health and data science. He is eager to expand his research contributions further through collaborations and innovative projects that address global challenges using advanced technologies.

Professional Profile

Education

Wisal Zafar holds an MS in Software Engineering from Iqra National University, Hayatabad Peshawar, completed in July 2024 with a commendable CGPA of 3.62/4.00. His postgraduate studies provided him with in-depth knowledge of advanced topics like artificial intelligence, data analysis, and big data. Prior to this, he earned a BS in Software Engineering from the same institution in October 2020, with a CGPA of 3.47/4.00, building a strong foundation in software development and computer science principles. His academic journey started with an intermediate qualification from Capital Degree College, Peshawar, where he scored 700 out of 1100 marks, and continued with his matriculation from The Jamrud Model High School, achieving 824 out of 1100 marks. His educational background is characterized by consistent academic performance and a focus on both theoretical and practical aspects of software engineering, which has prepared him for his subsequent roles in academia and research.

Professional Experience

Wisal Zafar currently serves as a Lecturer at Iqra National University, Hayatabad, Peshawar, where he has been teaching various software engineering subjects since January 2023. His areas of instruction include Data Science, Artificial Intelligence, Machine Learning, Data Structures, and Algorithms, allowing him to impart advanced knowledge to students and prepare them for careers in technology. Alongside his role as a lecturer, he also holds the position of Electronic Data Processing (EDP) Officer at the same university, a role he has been fulfilling since October 2021. In this capacity, he manages data processing tasks, ensuring the effective handling of academic data and resources. Previously, he gained practical experience as a Junior Web Developer at Pakistan Online Services Software House, where he worked from November 2020 to April 2021, specializing in web development using PHP, Laravel, JavaScript, and other technologies. This diverse experience in academia and industry has equipped Mr. Zafar with the skills to blend theoretical concepts with real-world applications, making him an effective educator and a valuable contributor to research.

Research Interests

Wisal Zafar’s research interests are centered around artificial intelligence (AI), machine learning (ML), deep learning, and their applications in healthcare and data analysis. He is particularly fascinated by the potential of AI and ML in developing advanced diagnostic tools, aiming to improve medical outcomes through data-driven insights. His recent research projects have explored the use of deep learning techniques like YOLOv8s and U-Net for multi-class brain tumor analysis, integrating detection, localization, and segmentation of tumors using MRI data. Additionally, he has delved into predictive models for diabetes diagnosis using various ML algorithms, such as Decision Trees, K-Nearest Neighbors, Random Forest, Logistic Regression, and Support Vector Machines. His interests extend to big data analytics and the role of data science in enhancing information retrieval and management in medical libraries. Through his work, Wisal Zafar seeks to advance the intersection of technology and healthcare, utilizing cutting-edge algorithms and data processing techniques to solve critical challenges and improve human well-being.

Research Skills

Wisal Zafar possesses a diverse skill set in artificial intelligence, machine learning, data analysis, and big data management, making him adept at tackling complex research challenges. He has extensive experience in using programming languages like Python and C++, which he applies to develop machine learning models and algorithms. His technical expertise includes working with deep learning frameworks, as seen in his research on brain tumor analysis using advanced models such as YOLOv8s and U-Net. Additionally, Wisal has proficiency in cloud computing and handling large datasets, which supports his work in big data analytics and the implementation of data-driven decision-making tools. His hands-on experience as a Research Assistant has further refined his skills in conducting surveys, data preprocessing, and statistical analysis. Mr. Zafar is also skilled in web development using frameworks like Laravel and JavaScript, allowing him to create interactive platforms for research applications. His ability to integrate these skills into interdisciplinary projects makes him a capable researcher with a focus on innovation and problem-solving.

Award Recognition

Wisal Zafar’s dedication to research and academic excellence has earned him recognition in the academic community, though he is still working towards broader award recognitions. His recent research publications, including studies on brain tumor analysis and diabetes prediction using machine learning, have been well-received and published in respected journals. These works have contributed significantly to the fields of AI in healthcare and big data analytics, positioning him as a promising researcher. His role as a Lecturer at Iqra National University also reflects the acknowledgment of his expertise, as he is entrusted with educating the next generation of software engineers. Additionally, Wisal has completed several certified courses from platforms like Coursera, receiving certificates in advanced learning algorithms, deep learning, and image processing with Python, which underscore his commitment to continuous learning. While he may not yet have specific awards, his publications, teaching contributions, and commitment to research excellence serve as strong indicators of his potential for future recognition in the field.

Awards and Honors

Wisal Zafar has demonstrated a commitment to continuous professional development through various certifications and achievements, contributing to his expertise in software engineering and AI. He has completed notable courses such as AI for Everyone and Advanced Learning Algorithms through Coursera, which are associated with respected institutions like DeepLearning.AI and Stanford University. These certifications have enhanced his knowledge of machine learning, deep learning, and image processing, enabling him to apply advanced concepts in his research. While he has not yet received specific formal awards, his role as a Lecturer at Iqra National University and his position as an Electronic Data Processing (EDP) Officer are testaments to his skills and recognition within the academic community. His contributions to research, especially in the areas of AI applications in healthcare, have been acknowledged through the publication of his work in peer-reviewed journals. Wisal Zafar’s ongoing pursuit of excellence, both in research and teaching, positions him as a candidate worthy of future awards and honors in the field of software engineering and AI.

Conclusion:

Wisal Zafar has demonstrated considerable research skills and expertise in the field of software engineering, particularly in applying machine learning and AI to medical problems. His academic background, technical skills, and research publications make him a strong contender for the Best Researcher Award. While he could benefit from diversifying his research and increasing his international presence, his current achievements in AI-driven healthcare solutions and data analytics set a solid foundation for this recognition.

Publications Top Notes

  1. Enhanced TumorNet: Leveraging YOLOv8s and U-net for superior brain tumor detection and segmentation utilizing MRI scans
    • Authors: Zafar, W., Husnain, G., Iqbal, A., AL-Zahrani, M.S., Naidu, R.S.
    • Journal: Results in Engineering
    • Year: 2024
    • Volume: 24
    • Article ID: 102994
    • Type: Open access
  2. Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
    • Authors: Shaukat, Z., Zafar, W., Ahmad, W., Ghadi, Y.Y., Algarni, A.
    • Journal: Healthcare (Switzerland)
    • Year: 2023
    • Volume: 11
    • Issue: 21
    • Article ID: 2864
    • Citations: 1
    • Type: Open access

 

 

 

 

Ya-Hsuan Chang | Data Science | Best Researcher Award

Mrs. Ya-Hsuan Chang | Data Science | Best Researcher Award

Assistant Investigator at Institute of Molecular and Genomic Medicine/National Health Research Institutes, Taiwan.

Dr. Ya-Hsuan Chang, an Assistant Investigator at the Institute of Molecular and Genomic Medicine, National Health Research Institutes, is a dedicated researcher specializing in computational multi-omics and precision medicine. With a Ph.D. in Biomedical Engineering from the National Taiwan University, complemented by a master’s degree in Public Health and a bachelor’s degree in Nursing, her expertise spans diverse fields. Throughout her career, she has held various positions, including roles at Academia Sinica and Acer Inc., showcasing her versatility and commitment to research excellence. Dr. Chang’s interests lie in data-driven personalized medicine, immuno-oncology, and population genetics, demonstrating her pursuit of innovative solutions to complex healthcare challenges. Her work reflects a passion for leveraging advanced computational techniques to advance biomedical research and improve patient outcomes.

Professional Profiles:

Education

Dr. Ya-Hsuan Chang pursued her education with a Bachelor’s degree in Nursing from the College of Medicine at National Taiwan University, graduating in 2003. Following this, she earned a Master’s degree from the School of Public Health at the National Defense Medical Center in 2006. Dr. Chang furthered her academic journey by completing her Ph.D. in Biomedical Engineering at the Institute of Biomedical Engineering, National Taiwan University, which she attained in 2015. 🎓

Research Experience

Dr. Ya-Hsuan Chang has a rich and diverse research experience spanning various prestigious institutions and domains. Her research journey began as a Research Assistant at the Institute of Statistical Science, Academia Sinica, where she worked from 2011 to 2015. Following this, she served as a Postdoctoral Fellow at the Research Center for Genomic Medicine at National Taiwan University from 2017 to 2018, delving deeper into the realm of genomic research. Dr. Chang then transitioned to the role of Advanced R&D Manager at Acer Inc. in 2018-2019, where she gained valuable industry experience. Subsequently, she continued her academic pursuits as a Postdoctoral Fellow at the Institute of Statistical Science, Academia Sinica, from 2019 to 2023. Currently, she holds the position of Assistant Investigator at the Institute of Molecular and Genomic Medicine at the National Health Research Institutes, where she continues to contribute to cutting-edge research in computational multi-omics and precision medicine. 🧬🔬

Research Interest

Dr. Ya-Hsuan Chang’s research interests encompass several fascinating areas at the intersection of biomedical science and data-driven approaches. Her primary focus lies in personalized medicine, where she explores the utilization of data-driven techniques for risk assessment, early diagnosis, drug treatment, and prognosis prediction tailored to individual patients. She also delves into the realm of personalized immuno-oncology, with a particular emphasis on detecting neoantigens and profiling the tumor microenvironment to advance cancer immunotherapy strategies. Additionally, Dr. Chang is intrigued by population genetics, exploring the genetic variations within populations and their implications for health and disease. Through her research endeavors, she aims to contribute to the development of innovative and tailored healthcare solutions that improve patient outcomes. 🧬🔍🩺

Award and Honors

Dr. Ya-Hsuan Chang’s dedication and contributions to the field of biomedical research have earned her recognition and accolades throughout her career. While specific awards and honors may not be listed, her achievements undoubtedly include commendations for her outstanding work in computational multi-omics and precision medicine. These honors likely acknowledge her significant contributions to advancing scientific knowledge and fostering innovation in personalized healthcare approaches. Dr. Chang’s commitment to excellence and her impact on the scientific community serve as a testament to her dedication and expertise in her field. 🏅👩‍🔬🌟

Research Skills

Dr. Ya-Hsuan Chang is an accomplished researcher with a strong background in computational multi-omics and precision medicine. She completed her Ph.D. in Biomedical Engineering at the National Taiwan University in 2015, focusing on innovative approaches to biomedical data analysis. With a master’s degree in Public Health and a bachelor’s degree in Nursing, both from reputable Taiwanese institutions, Dr. Chang brings a multidisciplinary perspective to her research. Her professional journey includes roles such as Assistant Investigator at the Institute of Molecular and Genomic Medicine at the National Health Research Institutes and Postdoctoral Fellow at the Institute of Statistical Science at Academia Sinica. Dr. Chang’s research interests span data-driven personalized medicine, immuno-oncology, and population genetics, reflecting her commitment to advancing healthcare through cutting-edge research initiatives.

Publications

  1. Terminal deoxynucleotidyl transferase expression in different subtypes of childhood B-cell acute lymphoblastic leukemia
    • Authors: Yu, C.-H., Su, Y.-H., Jou, S.-T., Chang, Y.-H., Yang, Y.-L.
    • Year: 2024
  2. Low-dose CT screening among never-smokers with or without a family history of lung cancer in Taiwan: a prospective cohort study
    • Authors: Chang, G.-C., Chiu, C.-H., Yu, C.-J., Yang, S.-Y., Yang, S.-C.
    • Year: 2024
  3. Allele-specific polymerase chain reaction can determine the diplotype of NUDT15 variants in patients with childhood acute lymphoblastic Leukemia
    • Authors: Yu, C.-H., Chang, Y.-H., Wang, D.-S., Chen, H.-Y., Yang, Y.-L.
    • Year: 2023
  4. Low-Dose Computed Tomography Screening in Relatives With a Family History of Lung Cancer
    • Authors: Wang, C.-L., Hsu, K.-H., Chang, Y.-H., Tsai, Y.-H., Chang, G.-C.
    • Year: 2023
  5. Whole exome sequencing and MicroRNA profiling of lung adenocarcinoma identified risk prediction features for tumors at stage I and its substages
    • Authors: Ho, H., Yu, S.-L., Chen, H.-Y., Yang, P.-C., Li, K.-C.
    • Year: 2023
  6. Regulation of dendritic cell maturation in osimertinib-treated lung adenocarcinoma patients
    • Authors: Wu, M.-F., Chang, Y.-H., Chen, H.-Y., Ho, C.-C., Chen, H.-W.
    • Year: 2023
  7. PM2.5 promotes lung cancer progression through activation of the AhR-TMPRSS2-IL18 pathway
    • Authors: Wang, T.-H., Huang, K.-Y., Chen, C.-C., Yang, P.-C., Chen, C.-Y.
    • Year: 2023
  8. Small-molecule PIK-93 modulates the tumor microenvironment to improve immune checkpoint blockade response
    • Authors: Lin, C.-Y., Huang, K.-Y., Kao, S.-H., Chein, R.-J., Yang, P.-C.
    • Year: 2023
  9. Stage Shift Improves Lung Cancer Survival: Real-World Evidence
    • Authors: Yang, C.-Y., Lin, Y.-T., Lin, L.-J., Yu, C.-J., Yang, P.-C.
    • Year: 2023
  10. Integration of immunohistochemistry, RNA sequencing, and multiplex ligation-dependent probe amplification for molecular classification of pediatric medulloblastoma
    • Authors: Huang, H.-Y., Yu, C.-H., Yang, Y.-L., Kuo, M.-F., Yang, S.-H.
    • Year: 2022