• Detecting Common Insulation Problems in Built Environments using Thermal Images 

  Khan, Naima; Pathak, Nilavra; Roy, Nirmalya (IEEE, 2019-08-01)

  Proper thermal insulation yields optimum energy expenses in buildings by maintaining necessary heat gain or loss through the built envelope. However, improper thermal insulation causes significant energy wastage along with ...

• Active Deep Learning for Activity Recognition with Context-Aware Annotator Selection 

  Hossain, H. M. Sajjad; Roy, Nirmalya (2019-07-02)

• Localized Flood Detection With Minimal Labeled Social Media Data Using Transfer Learning 

  Singh, Neha; Roy, Nirmalya; Gangopadhyay, Aryya (2020-02-10)

  Social media generates an enormous amount of data on a daily basis but it is very challenging to effectively utilize the data without annotating or labeling it according to the target application. We investigate the problem ...

• StanceScorer: A Data Driven Approach to Score Badminton Player 

  Ghosh, Indrajeet; Ramamurthy, Sreenivasan Ramasamy; Roy, Nirmalya (IEEE, 2020-08-04)

  In recent times, wearable devices have gained immense popularity for IoT applications, especially for sports analytics. Recent works in sports analytics primarily focuses on improving a player's performance and help devise ...

• Blockchain-Enabled and Data-Driven Smart Healthcare Solution for Secure and Privacy-Preserving Data Access 

  Younis, Mohamed; Lalouani, Wassila; Lasla, Noureddine; Emokpae, Lloyd; Abdallah, Mohamed (IEEE, 2021-07-12)

  The major advances in body-mounted sensors and wireless technologies have been revolutionizing the healthcare industry, where patient’s conditions can be remotely monitored by medical staff. Such a model is gaining broad ...

• Managing Potentially Intrusive Practices in the Browser: A User-Centered Perspective 

  Smullen, Daniel; Yao, Yaxing; Feng, Yuanyuan; Sadeh, Norman; Edelstein, Arthur; Weiss, Rebecca (2021-06-16)

  Browser users encounter a broad array of potentially intrusive practices: from behavioral profiling, to crypto-mining, fingerprinting, and more. We study people’s perception, awareness, understanding, and preferences ...

• Student-centric Model of Login Patterns: A Case Study with Learning Management Systems 

  Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi (International Educational Data Mining Society, 2021)

  With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment ...

• Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching 

  Chen, Lujie Karen; Ramsey, Joseph; Dubrawski, Artur (International Educational Data Mining Society, 2021)

  Human one-on-one coaching involves complex multimodal interactions. Successful coaching requires teachers to closely monitor students’ cognitive-affective states and provide support of optimal type, timing, and amount. ...

• Multi-Qubit Correction for Quantum Annealers 

  Ayanzadeh, Ramin; Dorband, John; Halem, Milton; Finin, Tim (2021-07-10)

  We present \emph{multi-qubit correction} (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open-system as a Gibbs sampler and reduces a set of excited states to a new synthetic ...

• Real-Time IC Aging Prediction via On-Chip Sensors 

  Huang, Ke; Anik, Md Toufiq Hasan; Zhang, Xinqiao; Karimi, Naghmeh (2021)

  Real-time aging prediction for nanoscale integrated circuits (ICs) is a crucial step for developing prevention and mitigation actions to avoid unexpected circuit failures in the field of operation. Current practices for ...

• Polymer based Drug Delivery Systems- benchtop to Bedside Transition 

  Ray, Priyanka (Scientific Research and Community Ltd., 2021-06-29)

  Research in the field of polymers and polymeric materials has garnered immense attention in the past few decades due to the versatile functional and structural capabilities of polymers which often can be manipulated for ...

• A Fast Method to Fine-Tune Neural Networks for the Least Energy Consumption on FPGAs 

  Hosseini, Morteza; Ebrahimabadi, Mohammad; Mazumder, Arnab Neelim; Homayoun, Houman; Mohsenin, Tinoosh (UMBC Energy Efficient High Performance Computing Lab, 2021)

  Because of their simple hardware requirements, low bitwidth neural networks (NNs) have gained significant attention over the recent years, and have been extensively employed in electronic devices that seek efficiency and ...

• Excess Mortality in COVID-19-Positive Versus COVID-19-Negative Inpatients With Diabetes: A Nationwide Study 

  Spanakis, Elias K.; Yoo, Ashley; Ajayi, Oluwagbemiga N.; Siddiqui, Tariq; Khan, Mohd M.; Seliger, Stephen L.; Klonoff, David C.; Feng, Zhaoyong; Sorkin, John D. (American Diabetes Association, 2021-09)

• Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory 

  Tang, Xuejiao; Huang, Xin; Zhang, Wenbin; Child, Travers B.; Hu, Qiong; Liu, Zhen; Zhang, Ji (2021-09-27)

  Visual Commonsense Reasoning (VCR) predicts an answer with corresponding rationale, given a question-image input. VCR is a recently introduced visual scene understanding task with a wide range of applications, including ...

• Trending machine learning models in cyber-physical building environment: A survey 

  Hasan, Zahid; Roy, Nirmalya (Wiley Online Library, 2021-06-29)

  Electricity usage of buildings (including offices, malls, and residential apartments) represents a significant portion of a nation's energy expenditure and carbon footprint. In the United States, the buildings' appliances ...

• Building Interpretable Descriptors for Student Posture Analysis in a Physical Classroom 

  Chen, Lujie Karen; Gerritsen, David (International Educational Data Mining Society, 2021)

  This research presents a process for simplifying video labeling and feature generation when building classification systems from real classrooms. Using video from a single, wide-angle recording of a live classroom, we ...

• Micafungin-Induced Cell Wall Damage Stimulates Morphological Changes Consistent with Microcycle Conidiation in Aspergillus nidulans 

  Reese, Samantha; Chelius, Cynthia; Riekhof, Wayne; Marten, Mark R.; Harris, Steven D. (MDPI, 2021-06-29)

  Fungal cell wall receptors relay messages about the state of the cell wall to the nucleus through the Cell Wall Integrity Signaling (CWIS) pathway. The ultimate role of the CWIS pathway is to coordinate repair of cell wall ...

• Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches 

  Lu, Fred S.; Nguyen, Andre T.; Link, Nicholas B.; Molina, Mathieu; Davis, Jessica T.; Chinazzi, Matteo; Xiong, Xinyue; Vespignani, Alessandro; Lipsitch, Marc; Santillana, Mauricio (PLOS, 2021-06-17)

  Effectively designing and evaluating public health responses to the ongoing COVID-19 pandemic requires accurate estimation of the prevalence of COVID-19 across the United States (US). Equipment shortages and varying testing ...

• Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels 

  Ordun, Catherine; Raff, Edward; Purushotham, Sanjay (2021-06-15)

  Thermal images reveal medically important physiological information about human stress, signs of inflammation, and emotional mood that cannot be seen on visible images. Providing a method to generate thermal faces from ...

• Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery 

  Boutsikas, John; Eren, Maksim E.; Varga, Charles; Raff, Edward; Matuszek, Cynthia; Nicholas, Charles (2021-06-15)

  The use of Machine Learning has become a significant part of malware detection efforts due to the influx of new malware, an ever changing threat landscape, and the ability of Machine Learning methods to discover meaningful ...

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