About me

I’m working as Investigator (DL/ML) at Data Machine Elite. I am also enrolled as PhD student enrolled in Computer Engineering at University of Aveiro, Partime, Portugal under a Marie Skłodowska-Curie Actions (MSCA) fellowship

Previously, I was full-time research scholar (Gen AI) at Università Ca'​ Foscari di Venezia . Furthermore, I worked as a Data Analyst (ML) at AgriDunya Technologies . I served as a full-time Researcher (DL/ML) during my MS studies at Tianjin University , China. I had full-time experience working as a Python Developer at T IT Solution.I have extensive experience working as a freelancer (Upwork, PeoplePerHour.com, and Fiverr) to support my family and education at the undergraduate level. CV

I am currently or potentially interested in the following topics:

• Transfer Learning in 6G Networks: What are the potential challenges and solutions for maintaining model accuracy and relevance when applying transfer learning across diverse applications within 6G networks, such as 5G Private Netwokrs?
• Fault Detection in Cellular Networks: How can ML/DL algorithms be enhanced to improve fault detection accuracy in cellular networks, particularly in identifying subtle and complex network anomalies? What are the most effective techniques for real-time fault detection in cellular networks, and how can these techniques be scaled to handle the increasing complexity of 5G and 6G infrastructures?
• Generative AI and Large Language Models (LLMs): How can we enhance the reliability and safety of generative AI models, particularly LLMs, in producing contextually accurate and unbiased outputs across diverse applications? What strategies can be employed to reduce the computational demands of training large language models while maintaining or improving their performance on complex language tasks?

I am actively seeking remote job opportunities as an ML/DL Engineer, Data Scientist, LLM Engineer, or in a related field. If you know of any opportunities that align with my interests, I would greatly appreciate it if you could contact me at noor.cs2@yahoo.com. I am confident that my skills and experience could greatly benefit your team and organization, and I would be grateful for the opportunity to discuss this further in an interview. Thank you!

Access My CV

• Attached is my CV for your review.

• CV [Link]

Recent News

• July 18, 2024: Anomaly using Transfer Learning has been accepted as finding at INForum 2024.
  Our paper, “Multi-Scale Convolutional LSTM with Transfer Learning for Anomaly Detection in Cellular Networks”, has been accepted by INForum 2024 as finding!
• July 18, 2024: Implementation of Maximum Weighted Independent Set through Brute Force and Greedy Heuristics Approaches has been accepted as finding at IACIS 2024.
  Our paper, “Implementation of Maximum Weighted Independent Set through Brute Force and Greedy Heuristics Approaches”, has been accepted by International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) 2024 as finding!
• July 18, 2024: OOD Detection with Diffusion Models and Uncertainty Estimation has been submitted at ACCV 2024.
  Our paper, “Enhancing OOD Detection with Diffusion Models and Uncertainty Estimation: A Comprehensive Review”, has been submitted at Asian Conference on Computer Vision 2024 as finding!
• July 18, 2024: Algorithmic Insights has been submitted at SODA 2025.
  Our paper, “Algorithmic Insights: Analysis of Brute Force and Greedy Heuristics Approaches for MWIS”, has been submitted at 36th ACM-SIAM Symposium on Discrete Algorithms (SODA 2025) as finding!

News

2024

2023