Naman Priyadarshi

Biot, France

Masters student at Eurecom, I am pursuing Masters in Computer Science, Data Science Track. I completed my Bachelors in Technology with a major in Information Technology and Mathematical Innovation at Cluster Innovation Centre, University of Delhi.

I am really passionate about data science, machine learning, computer vision, and software engineering. I sometimes contribute to open-source in my free time; you can find my work in my GitHub profile.

Some other things I’m passionate about are Video Games and Music. I follow competitive E-Sports (Counter-Strike) and sometimes compete myself on a national level. I am a huge fan of Dev1ce and John Mayer. You can find my Steam Profile here

I have previously worked at Open Science Labs (OSL) on SciCookie as a Software Developer Intern and Software and Computational Systems Lab, Ludwig Maximilian University of Munich under Dr. Philipp Wendler. I worked on the software BenchExec (A Framework for Reliable Benchmarking and Resource Measurement).

Contact me at: namanpriyadarshicr7 [at] gmail.com

current and past affiliations

The organisations, institutes, and programs I am currently working for (or under/on), or have worked for in the past.

Sep 1, 2024	I will be joining Eurecom in Nice, France for my Masters in Computer Science, Data Science Track.
Jul 8, 2024	Graduated from Cluster Innovation Centre, University of Delhi!
Feb 25, 2024	I have started working on SciCookie at Open Science Labs (OSL)
Dec 7, 2023	Won Asus ROG Showdown Series CS2 2023 2v2 Held in Uttar Pradesh, India!
Sep 29, 2023	Won Alienware 2v2 CS2 2023 Held in Delhi, India!
Jul 11, 2023	Our work, “An Accuracy Improvement in Facial Verification through Siamese Neural Networks” has been published in The Journal of Image Processing & Pattern Recognition Progress
Jun 8, 2023	Won Asus ROG Showdown Series CSGO 1v1 Held in Delhi, India!
May 31, 2023	I have started working on BenchExec under Dr. Philipp Wendler at Software and Computational Systems Lab, Ludwig Maximilian University of Munich
Feb 10, 2023	Organised Delhi University's biggest Tech Fest 'Convoke'
Sep 24, 2022	Won Asus ROG 1v1 Showdown CSGO held in Uttar Pradesh, India!
Sep 10, 2022	Won Asus ROG 1v1 Showdown CSGO held in Delhi, India!
May 31, 2022	Started my Research internship at iGurus Consultancy Services LLP!
May 31, 2021	Started my App Development, Testing and Analysis internship at SimplyLocal, WabiTech.

selected publications

2023

An Accuracy Improvement in Facial Verification through Siamese Neural Networks

Anjani Kumar, Naman Priyadarshi, Ojus Kumar, and 1 more author

Journal of Image Processing & Pattern Recognition Progress, 2023

Abs HTML

Due to the ever-growing number of digital photos on the Internet, the task of automatically analysing images to extract semantic content has become quite important in recent years. In order to successfully organize the photographs, image indexing and image retrieval strategies need top-notch, effective image analysis and pattern recognition algorithms that can extract relevant semantic data. Face recognition plays a critical role in a variety of real-world applications, including AI-driven access control, interactions, immigration, education, and retail. All these industries have successfully used machine learning. However, the applications can be computationally expensive and may be challenging to perform when limited data is available. This is where the grey area exists. In this study, we provide a Siamese neural network-based technique for facial verification. To categorize the similarity between two input faces, a neural network is used. The Siamese neural network was successfully used in earlier experiments to recognize characters. This study will attempt to expand on the research into facial recognition software. The network can predict fresh data as well as new classes from unknown distributions once it has been tuned. In this study, convolutional neural networks were employed to exceed predictions made using previously developed methods