Omar Khaled’s Post

I am deeply honored to recommend Dr.Rania AbdElrahman Elgohary, the exceptional Dean of the College of Information Technology at Misr University for Science and Technology. Dr. Rania has been a pivotal figure in my academic and professional journey, and I owe much of my success to her unwavering support and belief in my potential. Under her expert guidance, I had the privilege of co-authoring research papers and presenting our work at international conferences, experiences that have significantly enriched my understanding and passion for technology. Dr. Rania's foresight and leadership also led to the creation of the AI Department at our university, opening up incredible opportunities for students like myself to delve into this cutting-edge field. Dr. Rania's faith in my abilities extended beyond academics. She entrusted me with the role of representing the 2024 batch, a responsibility I carry with immense pride and dedication. Her encouragement has empowered me to step confidently into leadership roles, and I am deeply grateful for the trust she placed in me. Dr. Rania, your impact on my life and the lives of many others is immeasurable. Your leadership, vision, and dedication have left an indelible mark on our university and the broader academic community. As you seek new opportunities to share your expertise, I am confident that any institution will be incredibly fortunate to have you. I'm really sad that you are leaving our college, you made us feel safe and loving our college.

Hey Linkedin, I want to reflect on my Graduation journey ending, I'm incredibly proud to announce my graduationas a member of the 20th Computer Science batch and the 1st ever Artificial Intelligence batch at Misr University for Science and Technology!🥳🎓 Also, I was honored to be this batch representative, Being the representative of this pioneering CS and AI batch has been a remarkable experience, filled with opportunities to lead, inspire, and make a lasting impact on our academic community. I am deeply grateful for the support of my professors, peers, and everyone who has been part of this journey. This achievement is not just a personal milestone but a reflection of the collective efforts and the spirit of innovation that drives our field. As I step into the next chapter of my career, I am excited to continue pushing the boundaries of technology and AI, contributing to a future where our skills can create meaningful change. I would like to extend my deepest gratitude to Professor Rania AbdElrahman Elgohary , the Dean of the College of Information Technology. Her unwavering support, visionary leadership, and inspiring spirit have been instrumental in shaping not only my journey but the journey of countless students. You are the true embodiment of a leader we all aspire to have, always encouraging, guiding, and believing in our potential. Thank you for being a beacon of excellence and for your relentless commitment to our growth and success. Thank you to everyone who has been part of this journey. The best is yet to come! #Graduation #ComputerScience #ArtificialIntelligence #AI #Leadership #Innovation #NewBeginnings

I'm happy to share that my research paper, titled "Deep Learning Approaches in Geomagnetic Storm Forecasting: A Comprehensive Survey and Future Prospects", has been published on IEEE Xplore!🥳 In this paper, we delve into the innovative use of deep learning techniques for forecasting geomagnetic storms, exploring both current methodologies and future potential. This research is a significant step forward in understanding and predicting these impactful space weather events. A big thank you to my collaborators shaimaa salah, Asmaa Elsayed , Abdul-Rahman Al-Jammal and Ziad Algendi and mentors my professor Mohanad deif , PhD and professor Rania AbdElrahman Elgohary the dean of my college, they supported me throughout this journey. I hope this paper inspires further research and development in this fascinating field. You can view it here: https://lnkd.in/gkg3Dui9 #nasa #astronomy #deeplearning #machinelearning #research #ieee NASA - National Aeronautics and Space Administration NASA Ames Research Center NASA Marshall Space Flight Center NASA’s Armstrong Flight Research Center NASA Goddard Space Flight Center EgSA-Egyptian Space Agency European Space Agency - ESA UK Space Agency

As someone who's walked the path of a budding machine learning engineer, I want to share some insights and advice that have helped me navigate the exciting yet challenging world of ML throughout my career. These may help young professionals who want to enter this track. - Continuous Learning is Key 📚: Machine learning is an ever-evolving field. Stay curious and keep learning. Dive deep into foundational concepts, but also explore the latest research papers, attend webinars, and participate in online courses. Platforms like Coursera, edX, and fast.ai are invaluable resources. - Hands-On Projects 💻: Theory is important, but practical experience is where the real learning happens. Work on diverse projects, contribute to open-source, or start your own. Implement algorithms from scratch, experiment with different datasets, and tackle real-world problems. - Build a Strong Portfolio 🌐: Showcase your skills through a well-organized portfolio. GitHub repositories, a personal blog, or a dedicated website can demonstrate your expertise. Document your projects, explain your methodologies, and share your results. - Networking Matters 🤝: Connect with peers, mentors, and industry professionals. Join ML communities, attend conferences, and engage in discussions on platforms like LinkedIn and Twitter. Networking can open doors to opportunities and collaborations. - Master the Fundamentals 🔍: Don't just focus on high-level frameworks. Understand the underlying mathematics and algorithms. A strong grasp of statistics, linear algebra, and calculus will set you apart and help you innovate. - Be Patient and Persistent ⏳: The journey in machine learning is not always smooth. There will be challenges and setbacks. Stay patient, keep experimenting, and learn from failures. Persistence is key to mastery. - Collaborate and Communicate 💬: Machine learning is often a team effort. Learn to collaborate effectively and communicate your ideas clearly. These soft skills are just as important as technical expertise. - Stay Ethical 🌍: With great power comes great responsibility. Always consider the ethical implications of your work. Strive to create solutions that are fair, unbiased, and beneficial to society. Remember, every expert was once a beginner. Embrace the learning process, stay passionate, and believe in your potential. #machinelearningengineer #grads #mentoring #machinelearning

After I have Graduated Finally from my University, It's time to reflect on my Great Graduation Project. 😁 Our project focused on enhancing space weather forecasting by predicting the Kp index and geomagnetic storms using advanced Deep learning techniques. We implemented two distinct methodologies, each with unique challenges and contributions. In the first methodology, we tested various Deep learning methods to predict the Kp index. We experimented with different input windows and feature sets, and evaluated model performance using R² and F1 metrics on a dataset spanning from 2008 to 2022. The major challenge was selecting the right subset of features, leading us to employ Particle Swarm Optimization (PSO). Our GRU model, trained with features selected by PSO, showed excellent performance, especially in classifying storms. However, the model's accuracy declined for longer forecasting horizons (e.g., 24 hours). Future research will focus on handling class imbalance, optimizing for longer horizons, and exploring new feature selection methods. The second methodology involved applying the Gated Recurrent Unit (GRU) algorithm, Long-Short-Term- Memory or LSTM and LSTM with Attention mechanism for forecasting geomagnetic storms, using Chimp optimization for hyperparameter tuning. This novel algorithm had no existing implementations, so we had to develop it from scratch, it was a significant challenge that we overcame through rigorous research and testing. Our GRU model achieved a Mean Absolute Error (MAE) of 0.0921, demonstrating its capability to capture the complex dynamics of geomagnetic activity. Future work will involve refining the model architecture, incorporating additional data sources, and exploring innovative approaches to improve predictive accuracy and robustness. After implementing these methodologies, we selected the best-performing model and deployed it on an innovative website to help raise awareness about geomagnetic storms and space weather. This platform aims to provide valuable insights and forecasts, enhancing public understanding and preparedness for space weather events. I am incredibly proud of our team's hard work and dedication. Special thanks to shaimaa salah and Asmaa Elsayed for their efforts in implementing the Chimp algorithm with me, and to Ziad Algendi Gaser and Abdul-Rahman Al-Jammal for their work on the PCA methodology. This project has been a rewarding experience, and I look forward to seeing its impact on space weather forecasting. #Deeplearning #spaceweather #graduate #nasa NASA - National Aeronautics and Space Administration NASA Marshall Space Flight Center NASA Technology Transfer Program NASA’s Armstrong Flight Research Center EgSA-Egyptian Space Agency European Space Agency - ESA UAE Space Agency

I am thrilled to announce that I'm starting my First Full time position as a Junior ML Research Engineer at Play !🥳 This is an incredible opportunity to grow my career in machine learning and contribute to an innovative and forward-thinking company. A special thank you to Mahmoud Felfel , our Company Foundel, for the insightful interview and for believing in my potential! #Deeplearning #MachineLearning #Generativeai #Play