Discovering knowledge regarding academic profile of students pursuing graduate studies in world's top universities. - Shibbir Ahmed; Abu Sayed Md. Latiful Hoque; Mahamudul Hasan; Rahnuma Tasmin; Deen Md. Abdullah; Anika Tabassum (IWCI, 2016)

University ranking prediction system by analyzing influential global performance indicators. - Anika Tabassum; Mahamudul Hasan; Shibbir Ahmed; Rahnuma Tasmin; Deen Md. Abdullah; Tasnim Musharrat (KST, 2017)

Dynamic Group Trip Planning Queries in Spatial Databases. - Anika Tabassum; Sukarna Barua; Tanzima Hashem; Tasmin Chowdhury (SSDBM, 2017)

Impact of Vacancies on Thermal Transport of Defected Zigzag Stanene Nanoribbon: A Molecular Dynamics Simulation Study. - Anika Tabassum; Shakib Mahmood; Sadman Sakib Ahbab; Asir Intisar Khan; Samia Subrina (TENCON, 2018)

Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective. - Sorour E. Amiri; Anika Tabassum; E. Thomas Ewing; B. Aditya Prakash (SIGKDD Explor., 2019)

Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. - Pravallika Devineni; Bill Kay; Hao Lu 001; Anika Tabassum; Supriya Chinthavali; Sangkeun Matt Lee (IEEE BigData, 2020)

An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks. - Anika Tabassum; Naimul Mefraz Khan (ICHI, 2020)

Cut-n-Reveal: Time Series Segmentations with Explanations. - Nikhil Muralidhar; Anika Tabassum; Liangzhe Chen; Supriya Chinthavali; Naren Ramakrishnan; B. Aditya Prakash (ACM Trans. Intell. Syst. Technol., 2020)

Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. - Alexander Rodríguez; Nikhil Muralidhar; Bijaya Adhikari; Anika Tabassum; Naren Ramakrishnan; B. Aditya Prakash (AAAI, 2021)

DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. - Alexander Rodríguez; Anika Tabassum; Jiaming Cui; Jiajia Xie; Javen Ho; Pulak Agarwal; Bijaya Adhikari; B. Aditya Prakash (AAAI, 2021)

Identification of Critical Infrastructure via PageRank. - Bill Kay; Hao Lu 001; Pravallika Devineni; Anika Tabassum; Supriya Chinthavali; Sangkeun Matt Lee (IEEE BigData, 2021)

Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. - Anika Tabassum; Supriya Chinthavali; Sangkeun Lee 002; Nils M. Stenvig; Bill Kay; P. Teja Kuruganti; B. Aditya Prakash (IEEE BigData, 2021)

Actionable Insights in Urban Multivariate Time-series. - Anika Tabassum; Supriya Chinthavali; Varisara Tansakul; B. Aditya Prakash (CIKM, 2021)

ECG Heart-Beat Classification Using Multimodal Image Fusion. - Zeeshan Ahmad; Anika Tabassum; Ling Guan; Naimul Mefraz Khan (ICASSP, 2021)

ECG Heartbeat Classification Using Multimodal Fusion. - Zeeshan Ahmad; Anika Tabassum; Ling Guan; Naimul Mefraz Khan (IEEE Access, 2021)

Explainable and Network-based Approaches for Decision-making in Emergency Management. - Anika Tabassum (2021)

Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components. - Sangkeun Lee 002; Supriya Chinthavali; Sarah Tennille; Junghoon Chae; Anika Tabassum; Varisara Tansakul; Daniel Redmon; Robert Moncrief; Aaron Myers (IEEE Big Data, 2022)

MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning. - Anika Tabassum; Nikhil Muralidhar; Ramakrishnan Kannan; Srikanth Allu (IEEE Big Data, 2022)

Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact. - Anika Tabassum; Nils M. Stenvig; Sangkeun Lee 002; Supriya Chinthavali (IEEE Big Data, 2022)

Real Time Bangla License Plate Recognition with Deep Learning Techniques. - Mahmudol H. Tusar; Md. T. Bhuiya; Md. S. Hossain; Anika Tabassum; Riasat Khan (IICAIET, 2022)

Super-resolution image display using diffractive decoders. - Çagatay Isil; Deniz Mengu; Yifan Zhao; Anika Tabassum; Jingxi Li; Yi Luo 009; Mona Jarrahi; Aydogan Ozcan (CoRR, 2022)

Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks. - Deniz Mengu; Yifan Zhao; Anika Tabassum; Mona Jarrahi; Aydogan Ozcan (CoRR, 2022)

Snapshot Multispectral Imaging Using a Diffractive Optical Network. - Deniz Mengu; Anika Tabassum; Mona Jarrahi; Aydogan Ozcan (CoRR, 2022)

Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets. - Sangkeun Lee 002; Jong Choi 001; Gs Jung; Anika Tabassum; Nils M. Stenvig; Supriya Chinthavali (IRI, 2023)

Attention for Causal Relationship Discovery from Biological Neural Dynamics. - Ziyu Lu; Anika Tabassum; Shruti R. Kulkarni; Lu Mi; J. Nathan Kutz; Eric Shea-Brown; Seung-Hwan Lim (CoRR, 2023)

Deep edge intelligence-based solution for heart failure prediction in ambient assisted living. - Md. Ishan Arefin Hossain; Anika Tabassum; Zia Ush-Shamszaman (Discov. Internet Things, 2023)

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. - Bharat Srikishan; Anika Tabassum; Srikanth Allu; Ramakrishnan Kannan; Nikhil Muralidhar (AAAI, 2024)

Power Outage Forecasting for System Resiliency during Extreme Weather Events. - Anika Tabassum; Sangkeun Lee 001; Narayan Bhusal; Supriya Chinthavali (IEEE Big Data, 2024)

Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway. - Anika Tabassum; Srikanth Allu; Ramakrishnan Kannan; Nikhil Muralidhar (IEEE Big Data, 2024)

Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. - Shruti R. Kulkarni; Anika Tabassum; Seung-Hwan Lim; Catherine D. Schuman; Bradley H. Theilman; Fred Rothganger; Felix Wang; James B. Aimone (NICE, 2024)

Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping. - Sangkeun Matt Lee; Supriya Chinthavali; Narayan Bhusal; Nils M. Stenvig; Anika Tabassum; P. Teja Kuruganti (IEEE Access, 2024)

Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing. - Anika Tabassum; Amirkoushyar Ziabari (CoRR, 2024)

LLM-ProS: Analyzing Large Language Models' Performance in Competitive Problem Solving. - Md. S. Hossain; Anika Tabassum; Md. Fahim Arefin; Tarannum Shaila Zaman (LLM4Code@ICSE, 2025)

RiceKernelEngine: Benchmarking transfer learning models for microscopic images of rice kernel. - Mehrab Islam Arnab; Anika Tabassum; MD Tahsin; Md Monjor Morshed; Maksura Binte Rabbani Nuha; Md. Sawkat Ali; Mahamudul Hasan; Maheen Islam; Taskeed Jabid; Mohammad Rifat Ahmmad Rashid; Mohammad Manzurul Islam (Array, 2025)

FOCUS: Fused Observation of Channels for Unveiling Spectra. - Xi Xiao; Aristeidis Tsaris; Anika Tabassum; John H. Lagergren; Larry M. York; Tianyang Wang; Xiao Wang 004 (CoRR, 2025)