Professional Experience
Below is a summary of my professional experiences.
Posts by Collection
portfolio
publications
Forecasting time series - A layered ensemble architecture
Published in IJCNN, 2014
Md. Mustafizur Rahman, Shubhra Kanti Karmaker Santu, Md. Monirul Islam, Kazuyuki Murase
Towards better generalization in Pittsburgh learning classifier systems
Published in IEEE Congress on Evolutionary Computation, 2014
Shubhra Kanti Karmaker Santu, Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase
Generative Feature Language Models for Mining Implicit Features from Customer Reviews
Published in ACM CIKM, 2016
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
Modeling the Influence of Popular Trending Events on User Search Behavior
Published in WWW, 2017
Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai
On Application of Learning to Rank for E-Commerce Search.
Published in ACM SIGIR, 2017
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
A Study of Feature Construction for Text-based Forecasting of Time Series Variables.
Published in ACM CIKM [Short Paper] , 2017
Yiren Wang, Dominic Seyler, Shubhra Kanti Karmaker Santu, ChengXiang Zhai
JIM: Joint Influence Modeling for Collective Search Behavior.
Published in ACM CIKM, 2018
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
NRF: A Naive Re-identification Framework.
Published in WPES@ACM CCS, 2018
Shubhra Kanti Karmaker Santu, Vincent Bindschaedler, ChengXiang Zhai, Carl A. Gunter
SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text.
Published in ACM SIGKDD Explorations [Position Paper] , 2018
Shubhra Kanti Karmaker Santu, C. Geigle, D. C. Ferguson, W. Cope, M. Kalantzis, D. Searsmith, Chengxiang Zhai
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data.
Published in Arxiv [Preprint] , 2019
Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni
Analysis of Adaptive Training for Learning to Rank in Information Retrieval
Published in ACM CIKM, 2019
Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi and ChengXiang Zhai
Neural Language Models with Evolving Topical Influence
Published in ACL SIGNLL CoNLL, 2019
Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, ChengXiang Zhai
Towards Automated Sexual Violence Report Tracking
Published in ICWSM [To Appear], 2019
Naeemul Hassan, Amrit Poudel, Jason Hale, Claire Hubacek, Khandakar Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed
Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods
Published in ACM CIKM, 2020
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
talks
teaching
Lecturer at BUET
Undergraduate course, Bangladesh University of Engineering and Technology, 2012
I have taught 3 theory course and more than 10 Lab courses at BUET CSE department at the undergraduate level.
Teaching Assistant at UIUC
Graduate course, University of Illinois Urbana Champaign, 2017
I worked as one of the teaching assistants of CS 510 (Advanced Information Retrieval) Course in this semester under Prof. Chengxiang Zhai. The details of the course schedule can be found here
Instructor: Natural Language Processing
Graduate course, Auburn University, 2022
I am teaching “Natural Language Processing” as a special topic CS/ Data Science course during Spring 2022 at Auburn University. I introduced this course at Auburn University. I have designed the course syllabus, assignments, exams and projects for this course can be found here.
Instructor: Machine Learning
Undergraduate course, Auburn University, 2023
I am teaching “Machine Learning” CS undergraduate course during Fall 2023 at Auburn University.
Instructor: Information Retrieval
Graduate course, Auburn University, 2023
I am teaching Information Retrieval as a special topic CS/ Data Science course during Fall 2023 at Auburn University. I introduced this course at Auburn University. I have designed the course syllabus, assignments, exams and projects for this course can be found here.