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Mr. Naeem Ahmed | Machine Learning | Best Innovation Award

Phd. Scholor at Nanjing University of Information Science and Technology, China

Summary:

Mr. Naeem Ahmed is a dedicated academic currently pursuing a PhD in Computer Science at NUIST, China, following his completion of a Master’s degree from the University of Engineering and Technology, Taxila, Pakistan, where he focused on sentiment analysis in Urdu using supervised machine learning. He has extensive teaching experience as a lecturer in various institutions, including the Government Postgraduate College Haripur and Abbottabad University of Science and Technology, covering topics such as artificial intelligence, natural language processing, and mobile app development. Mr. Ahmed has contributed to significant research publications, particularly in the areas of sentiment analysis and medical imaging, and has developed various real-world projects leveraging machine learning and deep learning technologies. His expertise encompasses a wide range of skills, including machine learning, computer vision, and web development. Beyond his academic pursuits, he enjoys traveling, photography, and keeping up with advancements in technology and automation.

Profile:

Education:

Mr. Naeem Ahmed is currently pursuing a Doctor of Philosophy (PhD) in Computer Science at NUIST, China, which he began in September 2024. He completed his Master of Science in Computer Science from the Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan, in October 2022. His master’s research focused on “Sentiment Analysis of Urdu Language using Supervised Machine Learning.” Prior to this, he earned a Bachelor of Science in Computer Science from the Department of Information Technology, University of Haripur, Pakistan, in August 2019, laying a strong foundation in the field of computer science.

Professional Experience:

Mr. Naeem Ahmed has built a solid professional foundation in academia, serving as a lecturer in the Department of Computer Science at various institutions in Pakistan. Currently, at the Government Postgraduate College Haripur, he instructs courses in artificial intelligence, operating systems, and data structures, where he emphasizes the importance of aligning course materials with industry trends and fostering student engagement through interactive projects. His previous role at Abbottabad University of Science and Technology involved teaching mobile app development and natural language processing, where he initiated projects that enhanced real-world problem-solving skills among students. Mr. Ahmed also held teaching positions at Government Postgraduate College Khalabat Township and the University of Haripur, covering subjects such as assembly language, software development, and information security. In addition to his teaching roles, he worked as a research assistant, where he instructed students in Python development and machine learning, and as a C#/.NET developer, where he developed applications to improve retail business operations. His diverse experience in both teaching and practical application in the technology sector underscores his commitment to education and innovation in computer science.

Research Interests:

Mr. Naeem Ahmed’s research interests are centered around the fields of machine learning, natural language processing, and computer vision. His work focuses on the development and application of innovative algorithms and models for sentiment analysis, particularly in low-resource languages, as evidenced by his publication on a novel approach for Urdu sentiment analysis using deep learning models. He is also engaged in exploring the intersection of technology and healthcare, demonstrated through his research on knee osteoarthritis detection and classification using transfer learning, as well as brain tumor detection using deep learning techniques. Additionally, Mr. Ahmed is interested in addressing real-world challenges through interdisciplinary projects, such as developing systems for emotion detection and COVID-19 detection from medical imaging. His commitment to advancing the fields of artificial intelligence and data analysis is reflected in his hands-on project experience, including applications in medical imaging, mobile app development, and deep fake detection. Through his research endeavors, Mr. Ahmed aims to contribute to the ongoing advancements in technology and its practical applications in various domains.

Skills:

Mr. Naeem Ahmed possesses a diverse skill set that encompasses various areas of computer science, particularly in machine learning, deep learning, and natural language processing. His expertise in machine learning algorithms and model development allows him to tackle complex problems, including sentiment analysis, emotion recognition, and medical imaging applications. Proficient in programming languages such as Python, R, C++, and C#, he effectively utilizes frameworks and libraries like TensorFlow, PyTorch, and scikit-learn to build and deploy sophisticated models. Mr. Ahmed also has substantial experience in computer vision and image processing, which enables him to develop applications for tasks such as brain tumor detection and fall detection for elderly individuals. His background in web and desktop application development further enhances his ability to create user-friendly solutions. Additionally, Mr. Ahmed’s skills in data preprocessing, exploratory data analysis, and cloud services empower him to analyze and interpret data efficiently, ensuring that his projects are aligned with industry trends and real-world needs. Through continuous learning and hands-on experience, Mr. Ahmed is well-equipped to contribute to the evolving landscape of technology and innovation.

Concution:

Naeem Ahmed’s strong academic credentials, innovative research in machine learning and AI, and practical applications in fields like healthcare and automation make him a highly suitable candidate for the Research for Best Innovation Award. His contributions to AI research and education reflect his dedication to advancing the field.

Publication Top Noted:

Machine learning techniques for spam detection in email and IoT platforms: analysis and research challenges

  • Authors: N. Ahmed, R. Amin, H. Aldabbas, D. Koundal, B. Alouffi, T. Shah
  • Journal: Security and Communication Networks
  • Year: 2022
  • Volume: 2022
  • Article ID: 1862888
  • Citations: 103

Trust management technique using blockchain in smart building

  • Authors: M. Saeed, R. Amin, M. Aftab, N. Ahmed
  • Journal: Engineering Proceedings
  • Year: 2022
  • Volume: 20(1)
  • Article: 24
  • Citations: 6

Sentiment analysis for covid-19 vaccine popularity

  • Authors: M. Saeed, N. Ahmed, A. Mehmood, M. Aftab, R. Amin, S. Kamal
  • Journal: KSII Transactions on Internet and Information Systems (TIIS)
  • Year: 2023
  • Volume: 17(5)
  • Pages: 1377-1393
  • Citations: 3

Intrusion detection systems for software-defined networks: a comprehensive study on machine learning-based techniques

  • Authors: Z. Mustafa, R. Amin, H. Aldabbas, N. Ahmed
  • Journal: Cluster Computing
  • Year: 2024
  • Pages: 1-27
  • Citations: 2

Urdu Sentiment Analysis Using Deep Attention-Based Technique

  • Authors: N. Ahmed, R. Amin, H. Ayub, M.M. Iqbal, M. Saeed, M. Hussain
  • Journal: Foundation University Journal of Engineering and Applied Sciences
  • Year: 2022
  • Citations: 1

Detection of Face Emotion and Music Recommendation System using Machine Learning

  • Authors: D. Ali, M.T. Huque, J.J. Godhuli, N. Ahmed
  • Journal: International Journal of Research and Innovation in Applied Science
  • Year: 2022
  • Volume: 7(11)
  • Citations: 1

DEVELOPMENT OF A SYSTEM FOR FIRE DETECTION AND ALARM USING MACHINE LEARNING AND COMPUTER VISION

  • Authors: D. Ali, J.J. Godhuli, B. Khan, M.T. Huque, N. Ahmed
  • Citations: 1
Naeem Ahmed | Machine Learning | Best Innovation Award

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