Najdavan Kako | Information Technology | Best Researcher Award

Najdavan Kako | Information Technology | Best Researcher Award 🏆

Information Technology at   Duhok Polytechnic University🎓

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 Profile 

Education 🎓:

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 💼:

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 🔍

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 🏆

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.

🤝 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 👩‍🏫:

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 🔬:

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.

Conclusion 

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.

📚 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 “Research & 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

Cicil Denny | AI and Machine Learning | Best Researcher Award |

Mr Cicil Denny | AI and Machine Learning |  Best Researcher Award

Student/Member at Vellore Institute of Technology, Chennai ,India

🌟 Cicil Melbin Denny J is a versatile Data Analyst with a strong background in Artificial Intelligence, Machine Learning, and Software Engineering. With hands-on experience in programming languages like Python, Java, C++, and JavaScript, and advanced skills in AI, ML, and Deep Learning frameworks such as PyTorch and TensorFlow, Cicil excels in tackling complex data problems. Notably, he led a research project on Semantic Segmentation for Underwater Imagery (SUIM), achieving an impressive mIoU of 84.83%, which was published in the prestigious “Results in Engineering” journal. Cicil’s technical prowess extends to data analytics tools like MySQL and NoSQL, and he is adept at using PowerBI and Tableau for business insights. His proficiency in network administration, cloud services (AWS, Azure, Google Cloud), and cybersecurity underlines his comprehensive skill set. Recognized for his problem-solving attitude and effective communication skills, Cicil is well-equipped to contribute to product analysis and support, making him a valuable asset in any tech-driven environment. 📊💡🤖

professional profile:

📚 Education:

  • B.Tech in CSE with specialization in Artificial Intelligence and Machine Learning, CGPA: 8.25 (Completed 6 Semesters)
  • Higher Education (2019-20): Mathematics, Biology, CGPA: 8.38

💼 Work Experience:

  • Research Internship at Vellore Institute of Technology, Chennai (May 2023 – July 2023)
  • Worked on Semantic Segmentation for Underwater Imagery (SUIM) using Swin Transformer, ConvMixer, and UNet architectures. Achieved mIoU metrics of 84.83% and published in “Results in Engineering” Journal – 2024 by Elsevier.

🔍 Skills:

  • Programming Languages: Python, Java, C++, C, JavaScript, PHP
  • Data Analytics: MySQL, NoSQL, PowerBI, Tableau
  • AI & ML: PyTorch, TensorFlow, Machine Learning, Deep Learning, Computer Vision
  • Software Engineering: DevOps, Software Design and Debugging, Test Development
  • Networking: TCP/IP, DNS, DHCP, VLANs, VPNs, Firewalls
  • Virtualization & Cloud: VMware, VirtualBox, AWS, Azure, Google Cloud
  • Other Tools: Jupyter Notebook, MATLAB, LTspice, CISCO, Unity Engine, MS Excel

🏆 Certifications:

  • TensorFlow Developer Certificate (2023: Zero to Mastery)
  • Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus
  • Artificial Intelligence Analyst – IBM
  • Introduction to Artificial Intelligence – LinkedIn Learning
  • Artificial Intelligence – Verzeo
  • Introduction to Financial Modeling
  • Digital Marketing Fundamentals with Live Projects
  • The A-Z Digital Marketing Course

🔬 Research Focus:

  • 🔬 Cicil Melbin Denny J’s research focuses on cutting-edge technologies in AI and Machine Learning. He has extensively worked on Semantic Segmentation for Underwater Imagery using advanced architectures like Swin Transformer, ConvMixer, and UNet, achieving high accuracy. His work on IoT botnet detection leverages autoencoders, LSTM-CNN, and DNN to enhance cybersecurity. Additionally, he explores route mapping algorithms, blockchain technology, and cryptocurrency trends. Cicil’s dedication to innovation is evident through his projects on malware detection using ML algorithms and IoT-based accident intimation systems, aiming to improve safety and security in various domains. 🌊🤖🔒🌐

👩‍🏫 Teaching & Knowledge Sharing:

  • Advanced skills in AI, ML, Deep Learning, and Computer Vision with hands-on experience.
  • Prepared detailed reports and suggested improvements on QA patterns for Amazon Warehouses.

 

publications🌟