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

 

Srinivasa Rao Gundu | Computer Science | Best Researcher Award

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Dr. Srinivasa Rao Gundu | Computer Science | Best Researcher Award

Assistant Professor at Malla Reddy University, India

Dr. Srinivasa Rao Gundu is an Assistant Professor at the School of Sciences, Malla Reddy University, Hyderabad, with over 18 years of academic and professional experience in computer science. He earned his Ph.D. in Computer Science from Dravidian University in 2021, focusing on hybrid algorithms for load balancing in cloud computing environments. His thesis introduced and tested novel RT, RTE, and RTEAH hybrid algorithms to enhance cloud resource allocation and performance.

Profile:

🎓 Academic Background:

  • Ph.D. in Computer Science
    Dravidian University, India
    Thesis: “Hybrid Approach to Load Balancing in Cloud Environment”
    His doctoral research focused on designing and testing hybrid algorithms (RT, RTE, RTEAH) to optimize load balancing in cloud computing environments, considering parameters like response time, execution time, and network delay.

  • Master of Computer Applications (M.C.A.)
    Osmania University, Hyderabad

  • Bachelor of Science (Computer Science)
    Osmania University, Hyderabad

🧠 Areas of Expertise:

  • Cloud Computing & Load Balancing

  • Quantum Computing & Cryptography

  • Artificial Intelligence & Machine Learning

  • Big Data Analytics

  • Internet of Things (IoT)

  • Operating Systems & Networking Global Journals

👨‍🏫 Teaching Experience:

  • Assistant Professor, Malla Reddy University (2023–Present)
    Courses: Applied Cryptography & Network Security, Operating Systems, Quantum ComputingAcademia.edu+6MR University+6ResearchGate+6

  • Guest Lecturer, Government Degree College, Hyderabad (2021–2023)
    Courses: C, C++, Java, DBMS, Oracle, Web Designing

  • Senior Software Trainer, Key Soft Computer Education (2019–2021, 2009–2013)

  • Programmer, JKR Softech Pvt. Ltd. (2013–2014)

  • Software Trainer, S3K Software Solutions (2006–2009)IGI Global+7Academia.edu+7LinkedIn+7

🏅 Professional Memberships:

  • Computer Science Teachers Association (CSTA) – USA

  • International Association of Engineers (IAENG) – Hong Kong

  • Indian Science Congress Association (ISCA) – India

  • Internet Society (ISOC) – USA

  • American Physical Society (APS) – USA

  • American Mathematical Society (AMS) – USA

  • Institute of Mathematical Statistics (IMS) – USA

  • Education Research and Development Association (ERDA) – India

  • International Association of Innovation Professionals (IAOIP) – USA

  • Scope Database – International Advisory Board (SD-IAB) – Singapore

Citation Metrics:

  • Total Citations: 208

  • Citations Since 2020: 206

  • h-index: 8

  • i10-index: 6

Publication Top Notes:

  1. Hybrid IT and multi cloud: An emerging trend and improved performance in cloud computing
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(5), 256. [Citations: 43]

  2. Sixth‐Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High‐Performance Computing Implementation
    Gundu, S.R., Charanarur, P., Chandelkar, K.K., Samanta, D., Poonia, R.C., et al. (2022). Wireless Communications and Mobile Computing, 2022(1), 4397610. [Citations: 33]

  3. Real-time cloud-based load balance algorithms and an analysis
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(4), 187. [Citations: 27]

  4. The dynamic computational model and the new era of cloud computation using Microsoft Azure
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(5), 264. [Citations: 13]

  5. Robotic technology-based cloud computing for improved services
    Gundu, S.R., Panem, C.A., & Timmapuram, A. (2020). SN Computer Science, 1(4), 190. [Citations: 11]

  6. Improved Hybrid Algorithm Approach based Load Balancing Technique in Cloud Computing
    Anuradha, B.S.R.G.T. (2019). Global Journal of Computer Science and Technology: B Cloud and Distributed, [Citations: 11]

  7. Emerging computational challenges in cloud computing and RTEAH algorithm based solution
    Gundu, R.S.G., Thimmapuram, A., & Panem, C.A. (2021). Journal of Ambient Intelligence and Humanized Computing, 11. [Citations: 9]

  8. Machine-learning-based spam mail detector
    Charanarur, P., Jain, H., Rao, G.S., Samanta, D., Sengar, S.S., & Hewage, C.T. (2023). SN Computer Science, 4(6), 858. [Citations: 8]

  9. High‐Performance Computing‐Based Scalable “Cloud Forensics‐as‐a‐Service” Readiness Framework Factors—A Review
    Gundu, S.R., Panem, C., & Satheesh, S. (2022). Cyber Security and Network Security, 27-45. [Citations: 8]

  10. Improved implementation of hybrid approach in cloud environment
    Rao, G.S., & Anuradha, T. (2018). Network, 3, 3.312. [Citations: 6]

  11. Improved hybrid approach for load balancing in virtual machine
    Rao, G.S., & Anuradha, T. (2018). International Journal of Computer Science Engineering, 6(10), 730-733. [Citations: 5]

  12. Intelligence Using Automata-Based Nature’s Digital Philosophy
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1, 1-6. [Citations: 4]

  13. Fuzzy Logic Applications in Computer Science and Mathematics
    Kar, R., Le, D.N., Mukherjee, G., Mallik, B.B., & Shaw, A.K. (2023). John Wiley & Sons. [Citations: 3]

  14. The role of machine learning and artificial intelligence in detecting the malicious use of cyber space
    Panem, C., Gundu, S.R., & Vijaylaxmi, J. (2023). Robotic Process Automation, 19-32. [Citations: 3]

  15. Digital Data Growth and the Philosophy of Digital Universe in View of Emerging Technologies
    Gundu, T.A.S.R. (2020). International Journal of Scientific Research in Computer Science, [Citations: 3]

  16. A comprehensive study on cloud computing and its security protocols and performance enhancement using artificial intelligence
    Gundu, S.R., Panem, C., & Vijaylaxmi, J. (2023). Robotic Process Automation, 1-17. [Citations: 2]

  17. Deception preclusion, discretion, and data safety for contemporary business
    Gundu, S.R., Charanarur, P., & Vijaylaxmi, J. (2023). Fraud Prevention, Confidentiality, and Data Security for Modern Businesses. [Citations: 2]

  18. Protection of personal data and internet of things security
    Charanarur, P., Gundu, S.R., & Vijaylaxmi, J. (2023). Fraud Prevention, Confidentiality, and Data Security for Modern Businesses. [Citations: 2]

  19. Cloud Computing and its Service Oriented Mechanism
    Gundu, C.S.R., & Panem (2022). Akinik Publications, New Delhi. [Citations: 2]

  20. Observed issues in cloud-based web commerce adoption for the financial transactions in Hyderabad
    Gundu, T.A.S.R., & Panem, C.A. (2021). Journal of Mechanics of Continua and Mathematical Sciences, 16(9), 1-13. [Citations: 2]