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

 

Yunfei Zì | Computer Science | Best Researcher Award

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Dr. Yunfei Zì | Computer Science | Best Researcher Award

Researcher Wuhan University of Technology China

Zi Yunfei is a distinguished researcher specializing in voiceprint recognition and artificial intelligence, affiliated with the Wuhan University of Technology. His expertise lies in developing advanced speaker verification systems and acoustic feature extraction methods, especially within IoT contexts. Currently, he is concluding his Ph.D. under the guidance of Professor Xiong Shengwu.

Profile

Orcid

Google scholar

Education 🎓

  • Ph.D. in Computer Science and Technology (2019–2023) – Wuhan University of Technology
  • M.Eng. in Information and Communication Engineering (2016–2019) – Beijing University of Graphic Arts
  • B.Eng. in Computer Science and Technology (2011–2015) – Northeast Petroleum University

Experience 💼

Zi has led and contributed to various research initiatives, including a Huawei NRE project and significant AI advancements in IoT voiceprint recognition and military voice monitoring. His technical contributions have been instrumental in enhancing acoustic feature extraction and system integration on Huawei’s deep learning platform, MindSpore.

Research Interests 🔍

  • Voiceprint Recognition
  • Short Utterance Speaker Verification
  • Artificial Intelligence & Deep Learning
  • Acoustic Feature Enhancement
  • IoT Smart Services

Awards 🏆

  • Outstanding Academic Achievement Award – Beijing University of Graphic Arts, 2018
  • Outstanding Master’s Thesis Award – Beijing University of Graphic Arts, 2019
  • Huawei Smart Base Future Star Award – Ministry of Education-Huawei, 2021
  • Outstanding Doctoral Thesis Award – Wuhan University of Technology, 2024

Publications Top Notes📚:

Multi-Fisher and Triple-Domain Feature Enhancement-Based Short Utterance Speaker Verification for IoT Smart Service – IEEE Internet of Things Journal (2024) [DOI:10.1109/JIOT.2023.3309659]

Joint Filter Combination-based Central Difference Feature Extraction – Expert Systems with Applications (2023) [DOI:10.1016/j.eswa.2023.120995]

Fisher Ratio-Based Multi-Domain Frame-Level Feature Aggregation – Engineering Applications of Artificial Intelligence (2024) [DOI:10.1016/j.engappai.2024.108063]

Short-Duration Speaker Verification by Joint Filter Superposition – IEEE Transactions on Consumer Electronics (2024) [DOI:10.1109/TCE.2024.3411116]

Aggregating Discriminative Embedding by Triple-Domain Feature Joint Learning – Biomedical Signal Processing and Control (2023) [DOI:10.1016/j.bspc.2023.104703]

Ganesh Narasimhan | Nanoelectronics | Outstanding Scientist Award

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Dr. Ganesh Narasimhan | Nanoelectronics | Outstanding Scientist Award

St.Peter’s Institute of Higher Education and Research, India

Author Profile

Early Academic Pursuits:

Dr. E.N. Ganesh began his academic journey with a Bachelor's in Electronics and Communication Engineering from APEC Madras, where he secured a remarkable first-class with 72%. He further pursued his interest in the field by completing his M.Tech in VLSI Design from the prestigious IIT Madras, where he achieved a first-class with distinction. His academic pursuit culminated in a PhD in Electronics and Communication Engineering specializing in Nano electronics from JNTU Hyderabad. His doctoral thesis on "Quantum cellular automata circuits Design and modeling" earned him the distinction of Best Thesis 1, showcasing his early dedication and expertise in cutting-edge technologies.

Professional Endeavors:

His professional journey spans over 26 years, characterized by diverse roles and impactful contributions. He has served as a dedicated educator, administrator, and researcher. Notably, he spent 8 years as Principal, with 6 of those years at RIT and 2 years at SEC. His leadership extended to a Vice Chancellor Incharge position for 2 years, where he demonstrated exceptional managerial skills. Additionally, he has served as a Control of Examiner for a year and spent 5 years as the Dean of the School of Engineering. These roles underscore his multifaceted expertise and commitment to academic excellence.

Contributions and Research Focus:

His research interests primarily revolve around cutting-edge technologies such as Quantum cellular automata circuits, Nano electronics, and VLSI Design. His ongoing research projects, including the development of a vessel tracking system for fishermen communities and rainforest monitoring for climate change study, highlight his commitment to utilizing technology for societal benefit. Moreover, his involvement in patented projects like the "Rehabilitative Wheelchair for Disabled Dogs" underscores his innovative approach to addressing real-world challenges.

Accolades and Recognition:

Throughout his career, He has garnered numerous accolades and awards, reflecting his exceptional contributions to academia and research. From Best Paper Awards at prestigious conferences to recognition for teaching excellence, his accomplishments are testament to his dedication and expertise. Notable honors include the Gold Medalist award from JNTU Hyderabad, Best Teacher Award from YSA Program, and multiple Best Paper Awards at international conferences.

Impact and Influence:

His influence extends beyond academia, with his research and innovations poised to make a significant impact on society. His patented projects demonstrate a keen focus on addressing pressing societal needs, ranging from healthcare assistance for pregnant women to environmental monitoring using IoT. By bridging the gap between academia and practical applications, he is shaping the future of technology and its implications on society.

Legacy and Future Contributions:

As a distinguished educator, researcher, and innovator, His legacy lies in his unwavering commitment to advancing technology for societal welfare. His contributions in academia, research, and patented projects will continue to inspire future generations of engineers and researchers. Through his ongoing research endeavors and commitment to excellence, he is poised to leave a lasting impact on the field of electronics and communication engineering.

Citations

A total of  209 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations             209
  • h-index               9
  • Documents        60

Notable Publications