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Poster: Image Disguising For Privacy-Preserving Deep Learning, Sagar Sharma, Keke Chen 2019 Wright State University - Main Campus

Poster: Image Disguising For Privacy-Preserving Deep Learning, Sagar Sharma, Keke Chen

Keke Chen

No abstract provided.


Poster: Privacy-Preserving Boostingwith Random Linear Classifiers, Sagar Sharma, Keke Chen 2019 Wright State University - Main Campus

Poster: Privacy-Preserving Boostingwith Random Linear Classifiers, Sagar Sharma, Keke Chen

Keke Chen

We propose SecureBoost, a privacy-preserving predictive modeling framework, that allows service providers (SPs) to build powerful boosting models over encrypted or randomly masked user submit- ted data. SecureBoost uses random linear classifiers (RLCs) as the base classifiers. A Cryptographic Service Provider (CSP) manages keys and assists the SP’s processing to reduce the complexity of the protocol constructions. The SP learns only the base models (i.e., RLCs) and the CSP learns only the weights of the base models and a limited leakage function. This separated parameter holding avoids any party from abusing the final model or conducting model-based attacks ...


Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth 2019 Wright State University - Main Campus

Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth

Keke Chen

Modern healthcare systems now rely on advanced computing methods and technologies, such as IoT devices and clouds, to collect and analyze personal health data at unprecedented scale and depth. Patients, doctors, healthcare providers, and researchers depend on analytical models derived from such data sources to remotely monitor patients, early-diagnose diseases, and find personalized treatments and medications. However, without appropriate privacy protection, conducting data analytics becomes a source of privacy nightmare. In this paper, we present the research challenges in developing practical privacy-preserving analytics in healthcare information systems. The study is based on kHealth - a personalized digital healthcare information system that ...


Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra 2019 Wright State University - Main Campus

Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra

Krishnaprasad Thirunarayan

Healthcare as we know it is in the process of going through a massive change from:

1. Episodic to continuous

2. Disease-focused to wellness and quality of life focused

3. Clinic-centric to anywhere a patient is

4. Clinician controlled to patient empowered

5. Being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data-driven URL: https://mhealth.md2k.org/2018-tech-showcase-home


Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth 2019 Wright State University - Main Campus

Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth

Krishnaprasad Thirunarayan

Across the United States, suicide is the second leading cause of death for people aged between 15 and 34, and younger people are more prone to mental health problems, suicidal thoughts, and behaviors. For instance, 80% of patients with Borderline Personality Disorder have suicide-related behaviors, and between 4-9% of them commit suicide. Moreover, the social stigma associated with mental health issues and suicide deter patients from sharing their experiences directly with others. In such a situation, social media that provides a free and open forum for voluntary expression can provide insights into suicide ideation and self-destructive behavior.

Reddit is a ...


"What's Ur Type?" Contextualized Classification Of User Types In Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Budak Arpinar 2019 Wright State University - Main Campus

"What's Ur Type?" Contextualized Classification Of User Types In Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Budak Arpinar

Krishnaprasad Thirunarayan

With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing information about medical, recreational and business aspects related to marijuana, it is no surprise that marijuana culture is thriving on Twitter. After the legalization of marijuana for recreational and medical purposes in 29 states, there has been a dramatic increase in the volume of drug-related communication on Twitter. Specifically, Twitter accounts have been established for promotional and informational purposes, some prominent among them being American Ganja, Medical Marijuana Exchange, and Cannabis Now. Identification and characterization ...


Question Answering For Suicide Risk Assessment Using Reddit, Amanuel Alambo, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelia Gyrard, Randon S. Welton, Jyotishman Pathak, Amit P. Sheth 2019 Wright State University - Main Campus

Question Answering For Suicide Risk Assessment Using Reddit, Amanuel Alambo, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelia Gyrard, Randon S. Welton, Jyotishman Pathak, Amit P. Sheth

Krishnaprasad Thirunarayan

Mental Health America designed ten questionnaires that are used to determine the risk of mental disorders. They are also commonly used by Mental Health Professionals (MHPs) to assess suicidality. Specifically, the Columbia Suicide Severity Rating Scale (C-SSRS), a widely used suicide assessment questionnaire, helps MHPs determine the severity of suicide risk and offer an appropriate treatment. A major challenge in suicide treatment is the social stigma wherein the patient feels reluctance in discussing his/her conditions with an MHP, which leads to inaccurate assessment and treatment of patients. On the other hand, the same patient is comfortable freely discussing his ...


Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth 2019 Wright State University - Main Campus

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Krishnaprasad Thirunarayan

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

  • Annually 6.7% of Americans (that is, more than 16 million).
  • Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
  • Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.


Metrics For Evaluating Quality Of Embeddings For Ontological Concepts, Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit P. Sheth 2019 Wright State University - Main Campus

Metrics For Evaluating Quality Of Embeddings For Ontological Concepts, Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit P. Sheth

Amit P. Sheth

Although there is an emerging trend towards generating embeddings for primarily unstructured data and, recently, for structured data, no systematic suite for measuring the quality of embeddings has been proposed yet. This deficiency is further sensed with respect to embeddings generated for structured data because there are no concrete evaluation metrics measuring the quality of the encoded structure as well as semantic patterns in the embedding space. In this paper, we introduce a framework containing three distinct tasks concerned with the individual aspects of ontological concepts: (i) the categorization aspect, (ii) the hierarchical aspect, and (iii) the relational aspect. Then ...


Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth 2019 Wright State University - Main Campus

Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth

Amit P. Sheth

Across the United States, suicide is the second leading cause of death for people aged between 15 and 34, and younger people are more prone to mental health problems, suicidal thoughts, and behaviors. For instance, 80% of patients with Borderline Personality Disorder have suicide-related behaviors, and between 4-9% of them commit suicide. Moreover, the social stigma associated with mental health issues and suicide deter patients from sharing their experiences directly with others. In such a situation, social media that provides a free and open forum for voluntary expression can provide insights into suicide ideation and self-destructive behavior.

Reddit is a ...


Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra 2019 Wright State University - Main Campus

Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra

Amit P. Sheth

Healthcare as we know it is in the process of going through a massive change from:

1. Episodic to continuous

2. Disease-focused to wellness and quality of life focused

3. Clinic-centric to anywhere a patient is

4. Clinician controlled to patient empowered

5. Being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data-driven URL: https://mhealth.md2k.org/2018-tech-showcase-home


Sequence Assembly, Xiaoqiu Huang 2019 Iowa State University

Sequence Assembly, Xiaoqiu Huang

Xiaoqiu Huang

We describe an efficient method for assembling short reads into long sequences. In this method, a hashing technique is used to compute overlaps between short reads, allowing base mismatches in the overlaps. Then an overlap graph is constructed, with each vertex representing a read and each edge representing an overlap. The overlap graph is explored by graph algorithms to find unique paths of reads representing contigs. The consensus sequence of each contig is constructed by computing alignments of multiple reads without gaps. This strategy has been implemented as a short read assembly program called PCAP.Solexa. We also describe how ...


A Compartmental Network Model For The Spread Of Whooping Cough, Kimia Ameri 2019 University of Nebraska at Omaha

A Compartmental Network Model For The Spread Of Whooping Cough, Kimia Ameri

Student Research and Creative Activity Fair

Outbreaks of pertussis have increased over the past few years, drawing the attention of health care providers. Understanding the transmission mechanisms of contagious disease is critically important, but depends on many intricate factors including pathogen and host environment, exposed population, and their activities. In this work, we try to improve upon the prediction model for the exposed population. The number of whooping cough reported cases in Nebraska between 2000-2017 was gathered. The standard SEIR model is used to predict the infected numbers. The results show that the Susceptible-Exposed-Infected-Recovered (SEIR) model prediction for the number of infected individuals is much higher ...


Analysis Of Clustering Algorithms, Ethan Summers 2019 University of Nebraska at Omaha

Analysis Of Clustering Algorithms, Ethan Summers

Student Research and Creative Activity Fair

In Bioinformatics, choosing the right algorithm for a problem is very important. Choosing the wrong algorithm or one that is less efficient can make or break a project. Analyzing algorithms beforehand is key. The goal of this project is to analyze three clustering algorithms for protein protein interaction networks and compare their function and results. A clustering algorithm takes a dataset, in this case a simulated PPI (protein-protein interaction) network and groups together similar data points based on some similarity criteria. It is important to know the difference between these algorithms to get the desired results.


Precision Medicine: Bioinformatics Assists In Finding Accurate Treatment For Her2+ Breast Cancer In Humans, Elizabeth Russman 2019 University of Nebraska at Omaha

Precision Medicine: Bioinformatics Assists In Finding Accurate Treatment For Her2+ Breast Cancer In Humans, Elizabeth Russman

Student Research and Creative Activity Fair

Human epidermal growth factor receptor 2 (HER2) is a gene located on chromosome 17q12 (Ferrari et al., 2016). A HER2 mutation is known to cause breast cancer, and is responsible for approximately 20% of all breast cancers.

In this project, HER2 positive breast cancer will be examined. The goal of this project is to understand the complicated gene, HER2, and how treatment needs to be more individualized and precise using bioinformatics.


Data Analytics Pipeline For Rna Structure Analysis Via Shape, Quinn Nelson 2019 University of Nebraska at Omaha

Data Analytics Pipeline For Rna Structure Analysis Via Shape, Quinn Nelson

Student Research and Creative Activity Fair

Coxsackievirus B3 (CVB3) is a cardiovirulent enterovirus from the family Picornaviridae. The RNA genome houses an internal ribosome entry site (IRES) in the 5’ untranslated region (5’UTR) that enables cap-independent translation. Ample evidence suggests that the structure of the 5’UTR is a critical element for virulence. We probe RNA structure in solution using base-specific modifying agents such as dimethyl sulfate as well as backbone targeting agents such as N-methylisatoic anhydride used in Selective 2’-Hydroxyl Acylation Analyzed by Primer Extension (SHAPE). We have developed a pipeline that merges and evaluates base-specific and SHAPE data together with statistical analyses ...


Life In The Phyllobiome: Functional Adaptations In Novosphingobium Sp. ‘Leaf2’, A Leaf-Borne Alphaproteobacteria, Katherine Sindelar 2019 University of Nebraska at Omaha

Life In The Phyllobiome: Functional Adaptations In Novosphingobium Sp. ‘Leaf2’, A Leaf-Borne Alphaproteobacteria, Katherine Sindelar

Student Research and Creative Activity Fair

Plant-associated microbiomes have emerged as a significant influence on host health and development, driving interest into the functional repertoires of constituent organisms and the mechanisms of host selection on resident microbial populations. Research into plant commensal bacteria have largely focused on rhizospheric milieus - the leaf-surface phyllobiome presents a more punishing environment, where microbia are subjected to high levels of UV radiation, low water and nutrient availability, and foliar agricultural chemicals in food crops. To investigate adaptations towards success in this harsh environment, a comparative genomics analysis across a cohort of Novosphingobium species was conducted using public bioinformatics resources and tools ...


Transcriptional And Chemical Changes In Soybean Leaves In Response To Long-Term Aphid Colonization, Jessica D. Hohenstein, Matthew Studham, Adam Klein, Nik Kovinich, Kia Barry, Young-Jin Lee, Gustavo C. Macintosh 2019 Iowa State University

Transcriptional And Chemical Changes In Soybean Leaves In Response To Long-Term Aphid Colonization, Jessica D. Hohenstein, Matthew Studham, Adam Klein, Nik Kovinich, Kia Barry, Young-Jin Lee, Gustavo C. Macintosh

Chemistry Publications

Soybean aphids (Aphis glycines Matsumura) are specialized insects that feed on soybean (Glycine max) phloem sap. Transcriptome analyses have shown that resistant soybean plants mount a fast response that limits aphid feeding and population growth. Conversely, defense responses in susceptible plants are slower and it is hypothesized that aphids block effective defenses in the compatible interaction. Unlike other pests, aphids can colonize plants for long periods of time; yet the effect on the plant transcriptome after long-term aphid feeding has not been analyzed for any plant–aphid interaction. We analyzed the susceptible and resistant (Rag1) transcriptome response to aphid feeding ...


Mrub_3018 Is Orthologous To E. Coli B2759 (Casb), Kyle Parker, Dr. Lori Scott 2019 Augustana College, Rock Island Illinois

Mrub_3018 Is Orthologous To E. Coli B2759 (Casb), Kyle Parker, Dr. Lori Scott

Meiothermus ruber Genome Analysis Project

This project is part of the Meiothermus ruber genome analysis project, which uses a collection of online bioinformatics tools to predict gene function. We studied the biological activity of the Mrub_3018 gene, which we hypothesize is orthologous to E. coli gene B2759. We predicted that Mrub_3018(DNA coordinates 3057916… 3058524) encodes the protein CasB. CasB is a protein in the CRISPR CASCADE that will function as a structural protein. When the rest of the proteins form an “S” formation CasB will connect the front and back of the “S” creating a back bone for the structure. It will help bind ...


Mrub_3015 Is Orthologous To The B2757 Gene Found In Escherichia Coli Coding For Casd, Ramona Collins, Dr. Lori Scott 2019 Augustana College, Rock Island Illinois

Mrub_3015 Is Orthologous To The B2757 Gene Found In Escherichia Coli Coding For Casd, Ramona Collins, Dr. Lori Scott

Meiothermus ruber Genome Analysis Project

This project is part of the Meiothermus ruber genome analysis project, which uses a collection of online bioinformatics tools to predict gene function. We investigated the biological function of the gene Mrub_3015, which we hypothesize is a component of the CRISPR-Cas prokaryotic defense system. We predict that Mrub_3015 (DNA coordinates 3055550...3056245) encodes the the CRISPR-associated protein cas5, which is integral in maintaining the crRNA-DNA structure, keeping the complex from base pairing with the target phage DNA. Our hypothesis is supported by identical hits for Mrub_3015 and b2527 to the KEGG, Pfam, TIGRfam, CDD and PDB databases as well as ...


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