• A coupled ETAS-I2GMM point process with applications to seismic fault detection 

  Cheng, Yicheng; Dundar, Murat; Mohler, George (Institute of Mathematical Statistics, 2018-09)

  Epidemic-type aftershock sequence (ETAS) point process is a common model for the occurrence of earthquake events. The ETAS model consists of a stationary background Poisson process modeling spontaneous earthquakes and a ...
• Assessment of STEM e-Learning in an Immersive Virtual Reality (VR) Environment 

  Rogers, Christian B.; El-Mounayri, Hazim; Wasfy, Tamer; Satterwhite, Jesse (ASEE, 2018)

  This paper shows the early research findings of utilizing a virtual reality environment as an educational tool for the operation of a computerized numerical control (CNC) milling machine. Based off of previous work, the ...
• Distributed monocular visual SLAM as a basis for a collaborative augmented reality framework 

  Egodagamage, Ruwan; Tuceryan, Mihran (Elsevier, 2018-04)

  Visual Simultaneous Localization and Mapping (SLAM) has been used for markerless tracking in augmented reality applications. Distributed SLAM helps multiple agents to collaboratively explore and build a global map of the ...
• Exploring diseases based biomedical document clustering and visualization using self-organizing maps 

  Shah, Setu; Luo, Xiao (IEEE, 2017-10)

  Document clustering is a text mining technique used to provide better document search and browsing in digital libraries or online corpora. In this research, a vector representation of concepts of diseases and similarity ...
• Students perceptions of an alternative testing method: hints as an option for exam questions 

  Rogers, Christian; Schnepp, Jerry Clyde (ASEE, 2014)
• WiFi-Enabled Smart Human Dynamics Monitoring 

  Guo, Xiaonan; Liu, Bo; Shi, Cong; Liu, Hongbo; Chen, Yingying; Chuah, Mooi Choo (ACM, 2017-11)

  The rapid pace of urbanization and socioeconomic development encourage people to spend more time together and therefore monitoring of human dynamics is of great importance, especially for facilities of elder care and ...
• Predicting interval time for reciprocal link creation using survival analysis 

  Dave, Vachik S.; Al Hasan, Mohammad; Zhang, Baichuan; Reddy, Chandan K. (Springer, 2018-12)

  The majority of directed social networks, such as Twitter, Flickr and Google+, exhibit reciprocal altruism, a social psychology phenomenon, which drives a vertex to create a reciprocal link with another vertex which has ...
• Compressed Sensing in Multi-Hop Large-Scale Wireless Sensor Networks Based on Routing Topology Tomography 

  Li, Yimei; Liang, Yao (IEEE, 2018)

  Data acquisition from multi-hop large-scale outdoor wireless sensor network (WSN) deployments for environmental monitoring is full of challenges. This is because of the severe resource constraints on tiny battery-operated ...
• E-CLoG: Counting edge-centric local graphlets 

  Dave, Vachik S.; Ahmed, Nesreen K.; Al Hasan, Mohammad (IEEE, 2017-12)

  In recent years, graphlet counting has emerged as an important task in topological graph analysis. However, the existing works on graphlet counting obtain the graphlet counts for the entire network as a whole. These works ...
• Triangle counting in large networks: a review 

  Al Hasan, Mohammad; Dave, Vachik S. (Wiley, 2018-03)

  Counting and enumeration of local topological structures, such as triangles, is an important task for analyzing large real‐life networks. For instance, triangle count in a network is used to compute transitivity—an important ...
• Improving social harm indices with a modulated Hawkes process 

  Mohler, George; Carter, Jeremy; Raje, Rajeev (Elsevier, 2018-06)

  Communities are affected adversely by a range of social harm events, such as crime, traffic crashes, medical emergencies, and drug use. The police, fire, health and social service departments are tasked with mitigating ...
• Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data 

  Rajwa, Bartek; Wallace, Paul K.; Griffiths, Elizabeth A.; Dundar, Murat (Institute of Electrical and Electronics Engineers, 2017-05)

  OBJECTIVE: Flow cytometry (FC) is a widely acknowledged technology in diagnosis of acute myeloid leukemia (AML) and has been indispensable in determining progression of the disease. Although FC plays a key role as a ...
• A Collaborative Augmented Reality Framework Based on Distributed Visual Slam 

  Egodagamage, Ruwan; Tuceryan, Mihran (IEEE, 2017-09)

  Visual Simultaneous Localization and Mapping (SLAM) has been used for markerless tracking in augmented reality applications. Distributed SLAM helps multiple agents to collaboratively explore and build a global map of the ...
• DeCoST: A New Approach in Drug Repurposing From Control System Theory 

  Nguyen, Thanh; Muhammad, Syed A.; Ibrahim, Sara; Ma, Lin; Guo, Jinlei; Bai, Baogang; Zeng, Bixin (Frontiers, 2018-06)

  In this paper, we propose DeCoST (Drug Repurposing from Control System Theory) framework to apply control system paradigm for drug repurposing purpose. Drug repurposing has become one of the most active areas in pharmacology ...
• Selectively Decentralized Q-Learning 

  Nguyen, Thanh; Mukhopadhyay, Snehasis (IEEE, 2017-10)

  In this paper, we explore the capability of selectively decentralized Q-learning approach in learning how to optimally stabilize control systems, as compared to the centralized approach. We focus on problems in which the ...
• Multidisciplinary Optimization in Decentralized Reinforcement Learning 

  Nguyen, Thanh; Mukhopadhyay, Snehasis (IEEE, 2017-12)

  Multidisciplinary Optimization (MDO) is one of the most popular techniques in aerospace engineering, where the system is complex and includes the knowledge from multiple fields. However, according to the best of our ...
• Selective decentralization to improve reinforcement learning in unknown linear noisy systems 

  Nguyen, Thanh; Mukhopadhyay, Snehasis (IEEE, 2017-11)

  In this paper, we answer the question of to what extend selective decentralization could enhance the learning and control performance when the system is noisy and unknown. Compared to the previous works in selective ...
• Identification and Optimal Control of Large-Scale Systems Using Selective Decentralization 

  Nguyen, Thanh; Mukhopadhyay, Snehasis (IEEE, 2016-10)

  In this paper, we explore the capability of selective decentralization in improving the control performance for unknown large-scale systems using model-based approaches. In selective decentralization, we explore all of the ...
• Two-phase Selective Decentralization to Improve Reinforcement Learning Systems with MDP 

  Nguyen, Thanh; Mukhopadhyay, Snehasis (IOS, 2018-06)

  In this paper, we explore the capability of selective decentralization in improving the reinforcement learning performance for unknown systems using model-based approaches. In selective decentralization, we automatically ...
• SubTrack: Enabling Real-Time Tracking of Subway Riding on Mobile Devices 

  Liu, Guo; Liu, Jian; Li, Fangmin; Ma, Xiaolin; Chen, Yingying; Liu, Hongbo (IEEE, 2017-11)

  Real-time tracking of subway riding will provide great convenience to millions of commuters in metropolitan areas. Traditional approaches using timetables need continuous attentions from the subway riders and are limited ...

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