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Najdavan Kako | Information Technology | Best Researcher Award šŸ†

InformationĀ Technology atĀ  Ā Duhok Polytechnic UniversityšŸŽ“

Najdavan Kako is a highly experienced academic and IT professional with a rich background in Computer Science and Engineering. With a commitment to both teaching and technological advancement, he has made significant contributions to his field at Duhok Polytechnic University. He has worked as an instructor, IT director, and coordinator, impacting the university’s growth and development. He has published several influential papers in international journals and has been recognized for his dedication to education and research.

Professional ProfileĀ 

Education šŸŽ“:

Najdavan Kako holds a Technician Diploma in WHS Management from Duhok Polytechnic University, a BS in Computer Science from Nawaz University, an MS in Computer Engineering from Eastern Mediterranean University, and a PhD from Duhok Polytechnic University in 2023. His educational journey reflects his passion for technological advancement and his dedication to contributing to academia.

Work Experience šŸ’¼:

Currently serving as the IT Director at Duhok Polytechnic University (since 2023), Najdavan has held various pivotal roles including Rapporteur (2017-2020), Quality Assurance Unit Head (2016), Instructor (since 2015), and Coordinator in the MIS department (2015). He also has extensive experience from previous roles as a programmer at Alkhalil Customs Directorate (2004-2015) and as a coordinator at Duhok Poultry Slaughtering (2006-2008), further demonstrating his deep involvement in both education and technology.

Skills šŸ”

Najdavan possesses a wide array of technical and managerial skills, including expertise in Network & Data Communication, IT Management, Data Security, Health IT, and Multimedia. His proficiency in C++, IT security, and operating systems is complemented by his strong teaching skills in Microsoft Access, Excel, Adobe Photoshop, and e-learning tools. He is also well-versed in the latest trends in information security and system optimization.

Awards and Honors šŸ†

Throughout his career, Najdavan has been recognized for his excellence in teaching and research. His contributions to the academic community have earned him invitations to various international conferences. His work on hybrid optimization methods and cryptography in Kurdish language has garnered attention in the academic and professional world.

šŸ¤ Memberships:

Najdavan is an active member of several academic and professional organizations, contributing to the ongoing development of research in his field. His engagement with international journals and conferences reflects his commitment to staying at the forefront of his discipline.

Teaching Experience šŸ‘©ā€šŸ«:

With over 15 years of teaching experience, Najdavan has led numerous courses on topics such as Network & Data Communication, IT Management, and Information Security. He has been involved in multiple training programs and courses, including Microsoft Excel and Access workshops, e-learning programs, and journal publication workshops, helping shape the next generation of IT professionals.

Research Focus šŸ”¬:

Najdavan’s research interests are diverse and impactful, focusing on optimization methods, cryptography, data security, and medical image analysis. His publications include notable works such as “A Novel Hybrid Bird Mating Optimizer with Differential Evolution” and “Review on Image Segmentation Methods Using Deep Learning.” His research continues to contribute to advancements in deep learning, global optimization, and computational methods for medical image detection.

ConclusionĀ 

Najdavan Kako’s strong academic background, substantial research output, and leadership roles in the academic community make him an excellent candidate for the Best Researcher Award. While there are areas for growth, such as fostering international collaborations and enhancing public engagement, his ongoing contributions to computer science, optimization methods, and health IT demonstrate his value as a leading researcher. He is highly deserving of this recognition for his impactful work and commitment to innovation in his field.

šŸ“š Publilcation

  • Peripapillary Atrophy Segmentation and Classification Methodologies for Glaucoma Image Detection: A Review
  • Review on Image Segmentation Methods Using Deep Learning
  • Effect of Colored Noise on Neuron Membrane Size Using Stochastic Hodgkin-Huxley Equations
    • Year: 2021
    • Conference: 7th International Engineering Conference ā€œResearch & Innovation amid Global Pandemic” (IEC)
    • DOI: 10.1109/iec52205.2021.9476110
  • DDLS: Distributed Deep Learning Systems: A Review
    • Year: 2021
    • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
  • New Symmetric Key Cipher Capable of Digraph to Single Letter Conversion Utilizing Binary System
  • Classical Cryptography for Kurdish Language
    • Year: 2018
    • Conference: 4th International Engineering Conference on Developments in Civil & Computer Engineering
  • A Novel Hybrid Bird Mating Optimizer with Differential Evolution for Engineering Design Optimization Problems
Najdavan Kako | Information Technology | Best Researcher Award

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