About Me
I'm a Ph.D. fellow at the Indian Statistical Institute (ISI), Kolkata, working under the supervision of Prof. Swagatam Das in the Electronics and Communication Sciences Unit (ECSU).
Most real-world datasets are far from idealโthey're imbalanced, biased, or simply too small to learn from effectively โ and that's exactly where I come in. My doctoral research focuses on building resilient deep learning models to solve challenges around class imbalance, long-tailed distributions, bias mitigation, and fairness.
Research Focus
My work focuses on designing algorithms that tackle real-world data challenges such as class imbalance, long-tailed distributions, bias mitigation, and fairness in machine learning. I develop novel techniques to ensure AI systems perform reliably even when trained on imperfect data.
Education
Ph.D. in Machine Learning
Indian Statistical Institute (ISI), Kolkata
Advisor: Prof. Swagatam Das
M.Tech in Computer Science and Engineering
Specialization: Software Engineering
Zakir Husain College of Engineering & Technology (ZHCET), Aligarh Muslim University (AMU)
B.Tech in Computer Engineering
Zakir Husain College of Engineering & Technology (ZHCET), Aligarh Muslim University (AMU)
Experience
Research Associate
Ericssion Research
Currently working on zero-shot and few-shot time series forecasting for channel data, enabling accurate predictions with minimal data to enhance resource allocation and operational efficiency. This is a practical application of zero-shot and few-shot time series forecasting.
Latest News
| ๐ Date | ๐๏ธ News |
|---|---|
| October 2024 | Presented my research (poster) at MICCAI 2024, Marrakesh, Morocco. |
| July 2024 | (Poster) Paper titled "Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias" has been accepted for presentation at MICCAI 2024. Among the 15 papers accepted from India. |
| May 2024 | Presented my research (poster) at IEEE ISBI 2024, Athens, Greece. |
| May 2024 | Our work CCO: A Cluster Core-based Oversampling Technique for Improved Class-Imbalanced Learning has been published in IEEE TETCI. |
| February 2024 | (Poster) Paper on Mo2E: Mixture of Two Experts for Class-Imbalanced Learning from Medical Images accepted at IEEE ISBI 2024. [View Paper] |
| April 2023 | (Oral & Poster) Paper on Handling Class Imbalance by Estimating Minority Class Statistics accepted at IEEE IJCNN 2023. [View Paper] |
Research Interests & Skills
Research Areas
Technical Skills
Contact Me
If you're interested in my research or potential collaborations, feel free to reach out!
Gmail
faizanansari541@gmail.com
Location
Electronics and Communication Sciences Unit (ECSU)
Indian Statistical Institute
Kolkata, India