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Gourab Kumar Patro
गौरब कुमार पात्रो
ଗୌରବ କୁମାର ପାତ୍ରୋ

PhD Scholar (TCS Fellow), CSE, IIT Kharagpur
Researcher, L3S Research Center, LUH

Address: 212, Appelstraße 4, Hannover, Germany
Email: last_name first_name [at] gmail [dot] com
CV : here
Gourab

About Me

I am a PhD scholar (TCS research fellow) in the department of Computer Science and Engineering at IIT Kharagpur, India, and a researcher at the L3S research center in Leibniz Universität Hannover. 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 current research interests fall in bias & fairness aspects of AI.

Currently, I am a part of Complex Networks Research Group at IIT Kharagpur and also a part of NoBIAS project at L3S, LUH. Prior to this, I have completed my bachelor's degree (B. Tech.) 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 ✰

Sept'21: The first NoBIAS Summer School with exciting keynotes and lectures starts on 20th Sept 2021. Any one can register and attend.

June'21: Giving a talk on "Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness" (slides) at L3S, LUH.

June'21: Joined as a researcher in NoBIAS at L3S, LUH.

Jan'21: Serving as a PC member of RecSys-2021.

Dec'20: Paper (link) accepted at FAccT-2021 (formerly FAT*).

Dec'20: Interesting talks lined up at IndoML-2020.

Nov'20: Volunteering at Indian Symposium on Machine Learning (IndoML).

Nov'20: Giving a talk on exposure bias at FILA-2020 in December'20.

Oct'20: Student poster (arXiv link) accepted at AAAI-2021.

Oct'20: Reviewing for Information Processing and Management (IPM) journal.

Sept'20: Giving a talk on pandemic-aware local recommendation (paper, slides, video) at RecSys-2020.

Sept'20: Reviewing for WWW-2021.

Aug'20: Discussing SIGIR-20 paper “Controlling Fairness and Bias in Dynamic Learning-to-Rank” by Morik et al. in our CNeRG reading group (slides).

Aug'20: Serving as a PC member of AAAI-2021.

July'20: Paper (link) on pandemic-aware local recommendation got accepted at RecSys-2020.

June'20: Giving my PhD registration seminar (slides) on two-sided fairness at IIT Kharagpur.

Apr'20: Giving a talk on fairness in recommendation (paper, slides) at WWW-2020.

Feb'20: Discussing ICML-18 paper “Delayed Impact of Fair Machine Learning.”, by Liu et al. in our CNeRG reading group.

Feb'20: Giving a talk on incremental fairness in platform updates (paper, slides) at AAAI-2020.

Feb'20: Giving a talk on fairness in recommendations (slides) at Goldman Sachs headquarters in New York, USA.

Jan'20: Paper on two-sided fairness in recommendation (paper) got accepted at WWW-2020.