Gourab Kumar Patro (गौरब/ଗୌରବ)PhD Scholar (TCS Fellow)
Department of Computer Science and Engineering
Indian Institute of Technology, Kharagpur
Address: 205, CNeRG Lab, CSE, IIT Kharagpur
Email: last_name first_name [at] gmail [dot] com
CV : here
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About MeI am a PhD scholar (TCS research fellow) in the department of Computer Science and Engineering at IIT Kharagpur, India. I work under the supervision of Prof. Niloy Ganguly. I also collaborate with Prof. Krishna P. Gummadi and Dr. Abhijnan Chakraborty. My research area is Information Retrieval and Data Mining, and my research interests fall in bias & fairness aspects of AI.
Currently, I am a part of Complex Networks Research Group at IIT Kharagpur. Prior to this, I have completed bachelor of technology from IIT Jodhpur, and also briefly worked as a supply chain and operations planning consultant at Steelwedge Software (now a part of E2open LLC.).
☆ My Homestate: Odisha ☆I am from the state of Odisha located on the eastern coast of India. Odisha is known for its ancient temples, dense jungles, serene beaches, sublime arts, and much more. If you are planning for a vacation, Odisha can be your next destination. Here is a small video on some attractions of Odisha. You can find more details on the official site of Odisha Tourism.
✰ News ✰▹ Serving as a PC member of RecSys-2021.
▹ Paper (link) accepted at FAccT-2021 (formerly FAT*).
▹ Interesting talks lined up at IndoML-2020.
▹ Volunteering at Indian Symposium on Machine Learning (IndoML).
▹ Giving a talk on exposure bias at FILA-2020 in December'20.
▹ Reviewing for Information Processing and Management (IPM) journal.
▹ Student poster (arXiv link) accepted at AAAI-2021.
▹ Giving a talk on pandemic-aware local recommendation (paper, slides, video) at RecSys-2020.
▹ Reviewing for WWW-2021.
▹ Paper (link) on pandemic-aware local recommendation got accepted at RecSys-2020.
▹ Discussing SIGIR-20 paper “Controlling Fairness and Bias in Dynamic Learning-to-Rank” by Morik et al. in our CNeRG reading group (slides) in Aug'20.
▹ Serving as a PC member of AAAI-2021.
▹ Giving my PhD registration seminar (slides) on two-sided fairness at IIT Kharagpur in June'20.
▹ Giving a talk on fairness in recommendation (paper, slides) at WWW-2020.
▹ Discussing ICML-18 paper “Delayed Impact of Fair Machine Learning.”, by Liu et al. in our CNeRG reading group.
▹ Giving a talk on incremental fairness in platform updates (paper, slides) at AAAI-2020.
▹ Giving a talk on fairness in recommendations (slides) at Goldman Sachs headquarters in New York, USA.
▹ Paper on two-sided fairness in recommendation (paper) got accepted at WWW-2020.