I’m a Master’s student in Computer Science at UMass Amherst. I am interested in Natural Language Processing, Speech Recognition and Machine Learning, and particularly in their applications to computational social science and the understanding of fictional narratives. I was advised by Professor Mohit Iyyer, and have worked with Professor Brendan O’Connor.
Publications
- Small Footprint Convolutional Recurrent Networks for Streaming Wakeword Detection, Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, Gengshen Fu, Brian Kulis, Santosh Kumar Cheekatmalla
- Analyzing Gender Bias in Narrative Tropes, Dhruvil Gala*, Mohammad Omar Khursheed*, Hannah Lerner, Mohit Iyyer, Brendan O’Connor, Fourth Workshop on Natural Language Processing and Computational Social Science, Emprical Methods in Natural Language Processing, 2020
- Stock Market Prediction Using a Hybrid Model, Zuhaib Akhtar, Mohammad Omar Khursheed, Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, 2019
- Generative Adversarial Networks: A Survey of Techniques and Methods, Mohammad Omar Khursheed, Danish Saeed, Asad Mohammed Khan, International conference on Computer Networks, Big data and IoT, 2018
Updates:
- January 2021 - I will begin working at Amazon as an Applied Scientist with Alexa Edge ML in Sunnyvale, CA
- December 2020 - I graduated from UMass Amherst with an MS in Computer Science with a Data Science Concentration
- November 2020 - New paper on analysing gender bias in narrative tropes with Dhruvil Gala, Hannah Lerner, Mohit Iyyer, and Brendan O’Connor at the NLP+CSS workshop at EMNLP 2020
- October 2020 - My work as an intern at Amazon about Convolutional Recurrent Networks for Wakeword Detection is now available to view!
- May 2020 - I started an Applied Scientist Internship at Amazon with Alexa Edge ML
- August 2019 - I started a MS in Computer Science at UMass Amherst
- July 2019 - I graduated with a Bachelor’s degree in Computer Engineering from Aligarh Muslim University