Dr. Junaid Farooq
PhD (Artificial Intelligence), National Institute of Technology Srinagar
Senior Machine Learning Engineer & AI Team Lead, StartUs Insights, Vienna
Hi, I'm Junaid
Welcome to my website.
I am an engineer, researcher, and technology enthusiast. I have bachelors and masters degrees in Engineering from National Institute of Technology (NIT) Srinagar. Recently, I completed a PhD degree in Artificial Intelligence from NIT Srinagar under the supervision of Prof. Mohammad Abid Bazaz.
My research work mainly involves development and integration of various artificial intelligence and deep learning techniques to achieve advances in computational intelligence with applications in NLP, generative modelling, and machine learning.
Currently, at StartUs Insights, I lead the AI team that enhances a Big Data & AI-powered platform, servicing major corporate partners by deploying advanced machine learning models. My role involves fine-tuning and deploying large language models , vision models, embedding models, audio generation models, and other such AI technologies to get the best of the massive data available with the company and build AI tools such as chatbots, summarizers, data analtics systems, feature extraction systems, and content generators.
I strongly believe that the future of technology will be at the intersection of artificial intelligence and human intelligence.
Areas of Interest: Artificial Intelligence, Deep Learning, Machine Learning, Large Language Models, Generative Modeling,
Programming Skills: Python, Matlab & Simulink, C++, SQL
AI/NLP/CV/Data Science related tools: Pytorch Langchain OpenAI Tensorflow Keras Rasa DialogFlow NLTK Numpy Scipy Sckikit-learn Pandas Matplotlib AWS OpenCV Cuda Docker
PhD Degree Awarded - Snapshots from Public Defense of PhD thesis at NIT Srinagar (24 April, 2024)
Latest Publications
Farooq, Junaid, Danish Rafiq, Pantelis R. Vlachas, and Mohammad Abid Bazaz. "RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing." arXiv preprint arXiv:2401.13282 (2024). https://arxiv.org/pdf/2401.13282v1.pdf
Junaid Farooq & Mohammad Abid Bazaz, "Deep Learning for Self-tuning of Control systems," 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2021, pp. 6-11, doi.org/10.1109/ICETCI51973.2021.9574048. (IEEE Computational Intelligence Society) [Received Best Paper Award] https://ieeexplore.ieee.org/document/9574048
Junaid Farooq & Mohammad Abid Bazaz. (2020). A novel adaptive deep learning model of Covid-19 with focus on mortality reduction strategies. Chaos, Solitons & Fractals, 138, 110148. doi.org/10.1016/j.chaos.2020.110148
Junaid Farooq & Mohammad Abid Bazaz. (2021). A Deep Learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India. Alexandria Engineering Journal, 60(1), 587-596 doi.org/10.1016/j.aej.2020.09.037
Danish Rafiq, Junaid Farooq, & Mohammad Abid Bazaz .(2022) Synergistic use of Intrusive and Non-intrusive Model Order Reduction Techniques for Dynamical Power Grids. International Journal of Electrical Power & Energy Systems, 138, 107908, doi.org/10.1016/j.ijepes.2021.107908
Latest Updates:
PhD Thesis submitted: Today on 19 December, 2023, I submitted my PhD Thesis titled "Breaking Barriers in Forecasting: A Hybrid Deep Learning Approach to Spatiotemporal Dynamics" to the office of Dean Academic Affairs, NIT Srinagar, for evaluation.
Best Presentation Award conferred to Junaid Farooq and Muhamad Abid Bazaz for their paper entitled "Multiscale Autoencoder-RNN Architecture for Mitigating Error Accumulation in Long-Term Forecasting" at the “International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2023)” organized by IEEE Computational Intelligence Society and Mahindra University in collaboration with NVIDIA and Tech Mahindra at Hyderabad from 21-23 September, 2023.
Paper Published: Hybrid Deep Neural Network for Data Driven Missile Guidance with Maneuvering Target
Best Paper Award conferred to Junaid Farooq and Muhamad Abid Bazaz for their paper entitled "Deep Learning for Self- Tuning of Control Systems" at the “International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2021)” organized by IEEE Computational Intelligence Society and Mahindra University in collaboration with NVIDIA and Tech Mahindra at Hyderabad from 25-27 August 2021.
New Blog Post: Resources for learning AI & ML
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