About Me
I have completed my PhD in Machine Learning from Department of Computer Science at University of Illinois at Chicago (UIC). I worked with Prof. Brian Ziebart in Adversarial Framework for Cost-sensitive Classification and Sequence Tagging. I completed my BS in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET).
Interests
- Machine Learning
- Data Science
- Artificial Intelligence
- Software Engineering
Publications
- Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart, “Adversarial Cost-Sensitive Classification”, International Conference on Uncertainty in Artificial Intelligence (UAI), 2015. [paper]
- Jia Li*, Kaiser Asif*, Hong Wang, Brian D. Ziebart, and Tanya Berger-Wolf, “Adversarial Sequence Tagging”, International Joint Conference on Artificial Intelligence (IJCAI), 2016. [paper]
- Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart, “Consistent Robust Adversarial Prediction for General Multiclass Classification”, arXiv preprint arXiv:1812.07526, 2018. [paper]
- Rizal Fathony, Anqi Liu, Kaiser Asif, and Brian Ziebart, “Adversarial Multiclass Classification: A Risk Minimization Perspective”, Advances in Neural Information Processing Systems (NIPS), 2016. [paper]
- Hong Wang, Wei Xing, Kaiser Asif, Brian D. Ziebart, “Adversarial Prediction Games for Multivariate Losses”, Advances in Neural Information Processing Systems (NIPS), 2015. [paper]
- Kaiser Asif, Lu Zhang, Sybil Derrible, Ernesto Indacochea, Didem Ozevin, and Brian D. Ziebart, “Using machine learning to predict welding quality from airborne AE sensor data”, [in submission].
Workshop
- Kaiser Asif, Lu Zhang, Sybil Derrible, Ernesto Indacochea, Didem Ozevin, and Brian D. Ziebart, “Using machine learning to predict welding quality from airborne AE sensor data”, 9th International Conference on Acoustic Emission (ICAE), 2019.
- Kaiser Asif, Brian D. Ziebart, “Inferring and Learning Subgoal Sequences”, International Conference on Machine Learning workshop on Robot Learning (ICML workshop), 2013. [paper]
Projects
- Real-time welding defect detection from air-bourne sensor data using adversarial sequence tagging.
- Use NLP techniques to infer actor from movie scripts.
Awards and Activities
- Top 50 in ITA tech challenge (2018)
- Volunteer : Chicago Open House greeter (2016).
- Volunteer and Travel Award : UAI student volunteer (2015).
- Volunteer : Developer of Sahana (a disaster management software) for Bangladesh Disaster Management Bureau (2008).
- Merit Scholarships: National Education Board Scholarship (Bangladesh) for the result in high school graduation. Dean’s award in undergraduate. Merit Scholarship for 5th position in undergraduate admission test (2004-2008).
Contact
kaiserasif at gmail dot com