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rohit dot mujumdar at yahoo dot com π¨βπ» I am a Research Engineer/Scientist in the OCTO and SATG (Office of the CTO and Software Advanced Tech Group) at Intel Corporation, Santa Clara (CA), where I work on research and development of software for Extreme Scale Graph Analytics. I previously worked as a Software Engineer at NCR Coproration. I graduated from Georgia Institute of Technology in Spring 2021 with an MS in Computer Science and a specialization in Machine Learning + Social Computing. π¬ I collaborated with Prof. Srijan Kumar to develop HawkEye, a reputation system for Birdwatch (now called Community Notes), Twitterβs community-driven feature to address misinformation, which was the first research study on Birdwatch and was successful in influencing the Birdwatch platform. Our paper based on this work got published in ASONAM'21. π I interned with the Cloud Services Design Analytics group at IBM Research. I filed two patents based on my work and also authored a poster, which won the Best Poster (Honorable Mention) award at INFORMS'20 π Prior to commencing my MS degree in Fall 2019, I worked as a Data Scientist (NLP Research) at Froot Research, (now acquired by Aarav Solutions). As one of the first few employees of an early-stage AI start-up, I was mentored by the founder Amit Gautam. π§βπ I earned a Bachelor's degree in Computer Engineering in 2017 from Vishwakarma Institute of Technology, Pune, where I was advised by Dr. Manasi Patwardhan. π₯ I run a video podcast, 'Talking To The Moon', where I interview people across professions and walks of life and listen to the stories they have to tell. More about the idea behind the vodcast in this article. ππ» Outside of work, I love to dance! (a few of my dance videos). I am an avid practitioner of Yoga and an ardent promoter of mental health awareness. π§ Feel free to drop me an email or DM me on Twitter; I love making new friends and am always open to interesting conversations! |
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My interests lie in Applied Machine Learning and Data Science, in which I am particularly fond of Computational Social Science/Social Computing. Projects involving graph datasets and graph analytics have been a common theme in my journey. I have lately also been interested in Graph Neural Networks and Data Centric AI. |
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Neelam Chandolikar, Rishav Raj, Rohit Mujumdar Keywords: knowledge graphs, natural language processing, semantic search engine, ontology learning, triplet extraction, edcuation technology ICDMAI Ontology learning process involves identification of concepts and the relationships between these concepts. Automated ontology learning based on ML/DL techniques identifies these triples but suffers from the problem of duplicate or simialr rrelationships. We propose a solution to identify simialr relationship so that the ontology can be fine-tuned. paper |
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Gaurav Verma, Rohit Mujumdar, Zijie J. Wang, Munmun De Choudhury, Srijan Kumar Keywords: social media, multimodal language models, language disparity, language translation ICWSM 2022 We investigate the disparity between English and non-English language models and show that detection frame-works based on pre-trained large language models like BERT and multilingual-BERT systematically perform better on the English language. We demonstrate the promise of incorporating the information contained in images via multimodal machine learning to address this disparity. website | paper |
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Rohit Mujumdar, Srijan Kumar Keywords: social network analysis, misinformation, graph algorithms, adverserial attack ASONAM 2021 We investigate the robustness of Birdwatch against adversaries and show that the current Birdwatch system is vulnerable to manipulation attacks. To overcome this vulnerability, we develop HawkEye, a cold-start-aware graphbased recursive algorithm, and show that it is more robust to such attacks. paper | code | video |
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Rohit Mujumdar, Pawan Chowdhary, Shubhi Asthana. Keywords: time series analysis, operations research, ticket resolution, predictive model INFORMS 2020, Best Poster Award (Honorable Mention Award) We use statistical analyses and regression-based techniques to predict the resolution times of incident tickets. We employ techniques like dynamic rolling window, auto-regressive window-flip and artificial data creation handle data eccentricities. poster | video |
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Rohit Mujumdar, Shubhi Asthana, Pawan Chowdhary, Aly Megahed, Bing Zhang Keywords: operations research, ticket resolution, employee skill management, sentiment analysis, performance review |
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Bing Zhang, , Shubhi Asthana, Pawan Chowdhary, Aly Megahed, Rohit Mujumdar, Taiga Nakamura Keywords: operations research, ticket resolution, human-in-the-loop, time series forecast |
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Rohit Mujumdar, Sanjana Garg, Rohit Gajawada Keywords: graph neural networks, fairness in AI, AI ethics, recommendation systems (Web Search and Text Mining, Spring 2021. Georgia Tech)
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Rohit Mujumdar, David Kartchner (Data Science for Epidemiology, Fall 2020. Georgia Tech) Keywords: epidemiology, microsoft academic graph, natural language processing, epistemiology
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Rohit Mujumdar, Parvathy Sarat, Prathik Kaundinya, Sahith Dambekodi (Deep Learning, Fall 2020. Georgia Tech) Keywords: natural language processing, deep learning, ai ethics, reddit, computational social science
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Rohit Mujumdar, Rohan Goel, Arthita Ghosh, Shravani Sistla, Neha Pande. (Machine Learning, Spring 2020. Georgia Tech) Keywords: natural language processing, machine learning, feature engineering, peer read dataset
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Rohit Mujumdar, Shalini Chaudhuri, Sreehari Sreejith, Sushmita Singh Keywords: computer vision, image classifciation, content moderation, convolutional neural networks, violence detection, image flagging (Computer Vision, Fall 2019. Georgia Tech)
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Rohit Mujumdar, Poshraj Sharma, Pranjal Patil, Akanksha Patil, Dr Manasi Patwardhan. Keywords: natural language processing, semantic search, ontology, triplet extraction, entity-relation-entity, phrase2vec, education technology (Undergrad Capstone Project, 2016-17, VIT Pune)
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