Nooshin Nemati | Computer Science | Best Researcher Award

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Ms. Nooshin Nemati | Computer Science | Best Researcher Award

Ankara University, Turkey

Dr. Nooshin Nemati is a dedicated researcher in the fields of Artificial Intelligence, Deep Learning, and Medical Image Processing, currently pursuing her PhD in Computer Engineering at Ankara University, where she also contributes to multiple AI-based cancer detection projects. She holds a Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University and a Bachelor’s from Qazvin Azad University.

Profile:

Educational Background:

Nooshin Nemati is currently a PhD candidate in Computer Engineering at Ankara University. She earned her Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University with a completed her undergraduate studies at Qazvin Azad University in Iran.

Research Areas:

Her main research interests lie in Artificial Intelligence, Deep Learning, Medical Image Processing, and Computer Vision, particularly applied to cancer detection in histopathology images. She focuses on segmentation, classification, and detection tasks using advanced deep learning frameworks.

Projects and Contributions:

She has actively contributed to significant research initiatives such as the TUBITAK 1001 Project, focused on deep learning methodologies for breast cancer detection, and the BAP Project, which deals with cancer region detection in histopathology images. She has also been involved in the development of important datasets such as NuSeC and MiDeSeC, aimed at supporting machine learning in medical imaging. In addition, she has applied her technical skills in software development projects including system analysis and automation tools for banks.

Technical Skills:

Nooshin is proficient in AI, Machine Learning, Deep Learning, and programming frameworks such as ASP.NET and WordPress. She also holds certifications like Network+ and CCNA, showcasing her broad technical competence.

Citation Metrics:

  • Total Citations: 75

  • Citations Since 2020: 71

  • h-index: 6

  • h-index Since 2020: 5

  • i10-index: 3

  • i10-index Since 2020: 3

Publication Top Notes:

  • An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images
    2023
    Citations: 22

  • Detection of colorectal cancer with vision transformers
    2022
    Citations: 11

  • Effect of color normalization on nuclei segmentation problem in H&E stained histopathology images
    2022
    Citations: 10

  • A hybridized deep learning methodology for mitosis detection and classification from histopathology images
    2023
    Citations: 8

  • CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images
    2024
    Citations: 7

 

Anayo Ikegwu | Software Engineering | Best Researcher Award

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Dr. Anayo Ikegwu | Software Engineering | Best Researcher Award

Lecturer at Veritas University Abuja, Nigeria

Dr. Anayo Chukwu Ikegwu is a dynamic academic, researcher, and IT consultant with deep expertise in Big Data Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, and Mobile Health Computing. He holds a Ph.D. in Computer Science (Big Data Analytics) from Alex Ekwueme Federal University Ndufu-Alike and is currently concluding a second Ph.D. in Cybersecurity at the same institution.

Profile:

Areas of Interest:

  • Big Data Analytics / Data Science

  • Machine Learning / Artificial Intelligence

  • Cybersecurity

  • Mobile Health Computing

Academic Qualifications:

  • Ph.D. in Cybersecurity (in view), 2024 – Alex Ekwueme Federal University Ndufu-Alike

  • Ph.D. in Computer Science (Big Data Analytics), 2017–2023 – AE-FUNAI

  • M.Sc. in Information Technology, 2015–2017 – NOUN

  • B.Sc. in Computer Science, 2008–2012 – Ebonyi State University

  • WAEC/NECO, 1999–2004 – Urban Model Secondary School

  • FSLCE, 1990–1995 – Ole Okibe Primary School

Current Position:

Lecturer I – Veritas University, Abuja
Postgraduate Committee Member – Department of Computer and Information Technology
Faculty Journal & Conference Committee Member – Faculty of Natural and Applied Sciences

Recent Positions:

  • Facilitator – National Open University of Nigeria (2024–Present)

  • Data Science Trainer – Veritas University (2024)

  • Senior Consultant – AIC-Analyst Info. Consulting Ltd (2018–2023)

  • ICT HOD/Facilitator – DoveNet eSolutions Ltd (2015–2017)

Professional Memberships:

  • Member, Nigeria Computer Society (NCS)

  • Member, Nigeria Foundation for Artificial Intelligence (NFAI)

  • Member, IEEE

  • Member, ACM

  • State Organising Secretary, NOUN Alumni Association

Technical Skills:

Python, MS Office, PHP/MySQL, Oracle 11g, WordPress, CorelDraw, Photoshop, Visual Studio, Google Workspace, Canva

Interpersonal Strengths:

  • Problem-solving through analytics

  • Strong communication & mentoring skills

  • Conflict resolution & team management

Certifications:

  • Oracle Certified Administrator – AfriHUB Nigeria

  • Digital Marketing Professional – Google

  • Jobberman Soft Skills Training – 2022

  • Certificates of Excellence in Reviewing – IEEE, Springer, Elsevier, and others

Academic Supervision:

  • Master’s Projects: Completed (1), Ongoing (2)

  • PGD Projects: Completed (1)

  • Undergraduate: Numerous

Publications & Research Impact:

  • Peer-Reviewed Journals: 15

  • Conference Papers: 9

  • Book Chapters: 2

  • Mini Book & Thesis Works: 3

  • Google Scholar Citations: 439 (h-index: 5)

  • Scopus Citations: 253 (h-index: 5(6))

Extracurricular Activities:

  • Public speaking on career development

  • Interactive game design for children

  • Sports (swimming), reading, travelling

Citation Metrics:

  • Total Citations: 455

  • Citations since 2020: 452

  • h-index: 5

  • h-index since 2020: 5

  • i10-index: 5

  • i10-index since 2020: 5

Publication Top Notes: