Anika Tabassum

Table of contents
Education
Professional Experience
Teaching
Invited Talk
Awards & Honors
Services

Education

Ph.D., 2021	Computer Science, Virginia Tech.
Professional Certificate, 2020	Urban Computing, Virginia Tech.
BSc., 2016	Computer Science & Engineering, Bangladesh Univesity of Engineering & Technology, Bangladesh.

Current	Reseach Scientist, Oak Ridge National Laboratory. Mathematics in Computation, CSMD Develop and deploy robust deep-learning models for science problems arise due to large-scale data, limited real-life data, or low-fidelity data.
2023	Postdoctoral Research Associate, Oak Ridge National Laboratory. Discrete Algorithms, CSMD Supervisor: Ramakishnan Kannan.
May 2019 - Aug 2019	Summer Research Intern, Oak Ridge National Laboratory. Supervisor: Supriya Chinthavali Smart Neighborhood project: contributed to build the machine-learning framework to aid optimization control for smart energy usage

Aug 2018 - May 2019	Graduate Teaching Assistant, Virginia Tech CS 2114, Software Design & Data Structure
Aug 2017 - May 2018	Graduate Teaching Assistant, Virginia Tech CS 1114, Introduction to Software Design

September 2023	Success and Failure Analysis of Foundational and Few-shot Image Segmentation Models as a Case Study on Microstructure Characterization Lightning Talk, ORNL AI Expo.
September 2023	Temperature Modeling through Invariance Learning Representation for ensuring Li-ion Battery Safety Lightning Talk, ORNL AI Expo 2023.
August 2023	Domain Generalizable Deep Learning for Multimodal Data on Scientific Domains ORNL Staff Interview Seminar.
August 2023	Success and Failure Analysis of Foundational and Few-shot Image Segmentation as a Case Study on Microstructure Characterization Monterey Data Conference.
April 2023	Data-driven and Knowledge-driven Deep learning Models for battery Safety Modeling Mathematics in Computer Science seminar, ORNL
December 2022	Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact IEEE BigData
July 2022	Deep Curriculum Learning for Multi-scale Battery Reconstruction 10th Annual ORNL Postdoc Research Symposium (ORPA).
April 2021	Machine Learning Models for Critical Infrastructures Women in Data Science (wIDS), Blacksburg.
August 2020	Connecting Critical Infrastructures through Explainable and Network-based Models Urban Computing Seminar, Virginia Tech
August 2019	Urban-Net: A System to Understand and Analyze Critical Infrastructure Networks for Emergency Management ACM SigKDD

(2023), Rising Stars in Computational & Data Sciences, University of Texas Austin.
(2022), Outstanding Postdoc researcher in Computer Science and Mathematics Division (CSMD).
(2021), Travel award CIKM, 2021.
(2020), 1st prize, Facebook CDC COVID-19 Symptom Data Challenge, 2020.
(2020), Travel award SIGKDD.
(2019-2021), NSF Fellowship.
(2019), Travel award SIGKDD.
(2015), Undergraduate Best Dissertation Poster, Bangladesh University of Engineering & Technology.

(2024), AAAI, ICLR, SDM, PKDD, ICML.
(2023), NeuRIPS, ICML Synergy of Scientific ML & Modeling, ECML PKDD.
(2022), IEEE BigData, ECML PKDD.
(2016-2021), ICDM, ACM SigKDD, WWW, SDM, TKDD, IEEE BigData, ECML PKDD, IEEE TPAMI.

(2022) co-organizer, 4th International Workshop on IEEE BigData Tools, Methods, and Use-cases for Innovative Scientific Discovery (BTSD).
(2021) Session Chair, ECML PKDD