• BECA: A Software Tool for Integrated Visualization of Human Brain Data 

  Li, Huang; Fang, Shiaofen; Zigon, Bob; Sporns, Olaf; Saykin, Andrew J.; Goñi, Joaquin; Shen, Li (Springer, 2017)

  Visualization plays an important role in helping neuroscientist understanding human brain data. Most publicly available software focuses on visualizing a specific brain imaging modality. Here we present an extensible ...
• Automated assessment of steatosis in murine fatty liver 

  Sethunath, Deepak; Morusu, Siripriya; Tuceryan, Mihran; Cummings, Oscar W.; Zhang, Hao; Yin, Xiao-Ming; Vanderbeck, Scott; Chalasani, Naga; Gawrieh, Samer (PLOS, 2018-05-10)

  Although mice are commonly used to study different aspects of fatty liver disease, currently there are no validated fully automated methods to assess steatosis in mice. Accurate detection of macro- and microsteatosis in ...
• Clustering patient mobility patterns to assess effectiveness of health-service delivery 

  Delil, Selman; Çelik, Rahmi Nurhan; San, Sayın; Dundar, Murat (BMC, 2017-07-04)

  BACKGROUND: Analysis of patient mobility in a country not only gives an idea of how the health-care system works, but also can be a guideline to determine the quality of health care and health disparity among regions. ...
• Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining 

  Saha, Tanay Kumar; Katebi, Ataur; Dhifli, Wajdi; Al Hasan, Mohammad (IEEE, 2018)

  Modeling the interface region of a protein complex paves the way for understanding its dynamics and functionalities. Existing works model the interface region of a complex by using different approaches, such as, the residue ...
• A distributed framework for monocular visual SLAM 

  Egoda Gamage, Ruwan; Tuceryan, Mihran (2017-04)

  In Distributed Simultaneous Localization and Mapping (SLAM), multiple agents generate a global map of the environment while each performing its local SLAM operation. One of the main challenges is to identify overlapping ...
• Studying the Utility Preservation in Social Network Anonymization via Persistent Homology 

  Gao, Tianchong; Li, Feng (Elsevier, 2018-08)

  Following the trend of preserving privacy in online-social-network publishing, various anonymization mechanisms have been designed and applied. Differential privacy is an approach that guarantees the privacy level. Many ...
• Using Twitter trust network for stock market analysis 

  Ruan, Yefeng; Durresi, Arjan; Alfantoukh, Lina (Elsevier, 2018-04)

  Online social networks are now attracting a lot of attention not only from their users but also from researchers in various fields. Many researchers believe that the public mood or sentiment expressed in social media is ...
• A Simpler and More Direct Derivation of System Reliability Using Markov Chain Usage Models 

  Lin, Lan; Xue, Yufeng; Song, Fengguang (KSI, 2017)

  Markov chain usage-based statistical testing has been around for more than two decades, and proved sound and effective in providing audit trails of evidence in certifying software-intensive systems. The system end-to-end ...
• A Real-Time Machine Learning and Visualization Framework for Scientific Workflows 

  Li, Feng; Song, Fengguang (ACM, 2017-07)

  High-performance computing resources are currently widely used in science and engineering areas. Typical post-hoc approaches use persistent storage to save produced data from simulation, thus reading from storage to memory ...
• Economic Viability of Software Defined Networking (SDN) 

  Karakus, Murat; Durresi, Arjan (Elsevier, 2018-04)

  Economical and operational facets of networks drive the necessity for significant changes towards fundamentals of networking architectures. Recently, the momentum of programmable networking attempts illustrates the ...
• Direct Vehicle Collision Detection from Motion in Driving Video 

  Kilicarslan, Mehmet; Zheng, Jiang Yu (IEEE, 2017-06)

  The objective of this work is the instantaneous computation of Time-to-Collision (TTC) for potential collision only from motion information captured with a vehicle borne camera. The contribution is the detection of dangerous ...
• Towards Formalizing Adaptive Software Services 

  Sharma, Sonali; Raje, Rajeev; Malhotra, Ruchika (IEEE, 2016-08)

  More and more complex, distributed and software-Intensive systems are built using independently developed services. Due to various reasons, such as changes in the execution environment, these systems may need to adapt their ...
• Vision-Based Target Tracking and Autonomous Landing of a Quadrotor on a Ground Vehicle 

  Hoang, Tru; Bayasgalan, Enkhmurun; Wang, Ziyin; Tsechpenakis, Gavriil; Panagou, Dimitra (IEEE, 2017-05)

  This paper addresses vision-based tracking and landing of a micro-aerial vehicle (MAV) on a ground vehicle (GV). The camera onboard the MAV is mounted so that the optical axis is aligned with the downward-facing axis of ...
• Enhanced Internet Mobility and Privacy Using Public Cloud 

  Zhang, Ping; Durresi, Mimoza; Durresi, Arjan (Hindawi, 2017-06)

  Internet mobile users are concerned more and more about their privacy nowadays as both researches and real world incidents show that leaking of communication and location privacy can lead to serious consequence, and many ...
• NOUS: Construction and Querying of Dynamic Knowledge Graphs 

  Choudhury, Sutanay; Agarwal, Khushbu; Purohit, Sumit; Zhang, Baichuan; Pirrung, Meg; Smith, Will; Thomas, Mathew (IEEE, 2017-04)

  The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability. Despite their value, automated construction of knowledge graphs remains ...
• Interactive genetic algorithm for user-centered design of distributed conservation practices in a watershed: An examination of user preferences in objective space and user behavior 

  Piemonti, Adriana Debora; Babbar-Sebens, Meghna; Mukhopadhyay, Snehasis; Kleinberg, Austin (Wiley, 2017-05)

  Interactive Genetic Algorithms (IGA) are advanced human-in-the-loop optimization methods that enable humans to give feedback, based on their subjective and unquantified preferences and knowledge, during the algorithm's ...
• Cardiovascular Interactions Tutorial:An Update 

  Gersting, John M.; Shepherd, A. P.; Ma, Tony (Springer, 2017-07)

  The Cardiovascular Interaction (CVI) simulation model was developed by Carl Rothe (1929-2016) as an interactive computer simulation in the form of a tutorial. The original tutorial was based on a five-compartment model ...
• Receipt-Freeness and Coercion Resistance in Remote E-Voting Systems 

  Ruan, Yefeng; Zou, Xukai (Inderscience, 2017)

  Abstract: Remote electronic voting (E-voting) is a more convenient and efficient methodology when compared with traditional voting systems. It allows voters to vote for candidates remotely, however, remote E-voting systems ...
• Photons Plus Ultrasound: Imaging and Sensing 2017, International Society for Optics and Photonics 

  Wu, Xun; Sanders, Jean; Dundar, Murat; Oralkan, Ömer (SPIE, 2017-03)

  Photoacoustic imaging (PAI) can be used to monitor lesion formation during high-intensity focused ultrasound (HIFU) therapy because HIFU changes the optical absorption spectrum (OAS) of the tissue. However, in traditional ...
• Differential Compound Prioritization via Bidirectional Selectivity Push with Power 

  Liu, Junfeng; Ning, Xia (ACS, 2017-12)

  Effective in silico compound prioritization is a critical step to identify promising drug candidates in the early stages of drug discovery. Current computational methods for compound prioritization usually focus on ranking ...

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