Hi, I'mJoey Yip

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I'm a Ph.D. student and a passionate researcher.
I aim to make a difference through my creative solutions.



Currently supervised by Dr. Amit Sheth as a Graduate Research Assistant at Kno.e.sis Center, Wright State University, Dayton, OH.
I am primarily driven by the notion of intertwining machine with deep learning and knowledge graph (knowledge creation and semantic web) with natural language understanding in Conversational AI and Big Data analytics for health and social good. I am currently researching on socially intelligent health conversational agent as a technological vehicle to understand, abstract, learn, adapt, and engage users in a personalized and contextualized manner.
My other area of interests include text mining, knowledge engineering, information retrieval, sentiment analysis, and blockchain technology.

Name : Hong Yung (Joey) Yip
Phone : + 1 937-239-3215
Email : joey@knoesis.org
Address : 377 Joshi Research Center, 3rd Floor, 3640 Colonel Glenn Highway, Fairborn, OH 45435.

Skills









Research & Working Experience

Graduate Teaching Assistant (GTA) @ Wright State University, USA

Fall 2018 - Present

Teaching assistant for the Course CS1160: Introduction to Computer Programming.

Graduate Research Assistant (Ph.D.) @ Kno.e.sis Center, USA

Summer 2017 - Present

Working on several NIH-funded projects focusing on researching socially intelligent conversational agent leveraging deep domain knowledge representation from health ontologies and user-generated contents and machine learning models with NLU techniques to contextualize and personalize conversations and to address various health-related challenges.

Student Mentor @ Wright State University, USA

2017s

Vaikunth Sridharan (Master student) for kHealth Asthma project on real time scalable health dashboard "kHealthDash" that visualizes data from multiple streams and helps identify correlations, and obtain inferences.

Internship Placement @ Pathlab, Malaysia

2014

A 4 months practical working experiences as Trainee Personal Health Advisor and as phlebotomist.

Vacation Research Programme (VRE) @ International Medical University, Malaysia

2013

A 2 months hands-on self-directed research programme where personal computational and bioinformatics skills are developed, polished and improved.

Education

Ph.D. in Computer Science and Engineering | Wright State University, USA

May 2017 - Present

CURRENT CGPA: 4.0/4.0
Thesis AdvisorDr. Amit Sheth
Selected Graduate Courses – Soft Computing, Deep Learning, Network Science, Information Retrieval, Statistical Analysis, Distributed & Cloud Computing, Semantic-Cognitive-Perceptual Computing, Advanced Semantic Web, Web 3.0, Advanced Algorithm Design & Analysis, Advanced Programming Languages, Cryptography & Data Security, Communication in Science.

Master of Bioinformatics | University of Malaya, Malaysia

2015 - 2016

CGPA AS OF FINAL YEAR: 3.94/4.00 (Top 1 by cohort)
ThesisElectronic Health Record Integration

Bachelor of Biomedical Science (Hons), minor Pharmaceutical Science | Taylor's University Lakeside Campus, Malaysia

2011 - 2015

CGPA AS OF FINAL YEAR: 3.80/4.00 (First Class Honours Degree)

Professional Services & Activities

External Reviewer

2018 - Present

IEEE Internet Computing: Cognitive Services and Intelligent Chatbots

Grant Writing

2018

[1] NIH R01: "kHealth-OA: Multisensory Data-enhanced Evidence-based Obesity Management in Children with Asthma"
Worked with Dr. Sheth, Dr. Prasad, Dr. Kalra, Dr. Ebert
[2] NSF: "NYCConnect: A Digital Platform to Improve Mobility and Accessibility of Healthcare Services for New York City’s Elderly"
Worked with Dr. Pathak; Figure and content contribution on Specific Aim 4
[3] SCH: INT: "kBOT: A Knowledge-enhanced Chatbot Approach to Contextual and Personalized Conversations with Patients"
Worked with Dr. Shekarpour; Figure and content contribution

Awards

Dean List

2013 - 2015

Contributor Recognition @ Taylor's Club & Societies Award Night

2011 - 2013

Taylor's College High Achievers Scholarship

2010 - 2011

Leadership & Social Skills

Leadership


Representative of Student Council Welfare Group @ Taylor's University, Malaysia

2013 - 2014

Sponsorship recruiter; Data analyst and compiler; Events' performance organizer
Collaboration between teams & managed to recruit $1000 worth of in-kind sponsors for "The Voice" campaign, where students' feedbacks and suggestions are collected and channelled to the top management and annual meetings with Vice Chancellor.

President of Biosciences Club & Student Ambassador @ Taylor's University, Malaysia

2011 - 2013

Multiple events' leader and organizer
Creating opportunities for student participation and integration between semesters.

Student Representative of Student-Staff Committee @ Taylor's University, Malaysia

2011 - 2014

Point-of-contact between lecturers & students for academics & non-academics related queries

Founder & President of Webbie Club (Web-based Computing Club) @ Taylor's College, Malaysia

2010 - 2011

Multiple events' leader and organizer
Invited speaker for Orientation Day on "Club & Leadership Development"
Awarded "Best Performing Starter Club"

Key Personal Development Activities


Intervarsity Biochemistry Seminar (IBS) / 2013 - 2015
Represented Taylor’s University for inter-university poster presentation.
International Functional Food Conference (IFFC) / 2013
Video Editor and Producer for the conference’s opening ceremony; In-charge of IT, Stage, Display & Sound Management.
BioMalaysia Conference / 2013
Exposure to international public science conference and networking.
Global Youth Conference (GYC) / 2013
A 2-day conference where leadership and self-management skills are developed.
Financial Youth Intelligence / 2013
A 2-days workshop where financial and assets management skills are developed and improved.
SBS Team Building
Leadership, teamwork, interpersonal skills gained and networks expanded.
Broga Hill's Leadership Camp
A 3 days 2 night camp with objective of leadership and teamwork development and community engagement.

Community Services


Firefly Educational Trip
Managed and led a group of 40 students to Firefly, Kuala Selangor for an educational club trip.
SBS Lantern Festival
Contributed as dance performer.
Student Council Singapore Visitation to NUS & NTU
Network expanded and exposure on different organizations and activities are gained.
Visitation to Orphanage, House of Joy
A voluntary fund-raising mission to help out orphans; Contributed as meals preparer.
Tree Plantation
A voluntary community service to replant and grow trees to support "Go Green" campaign.
World Food Day
An initiative to join the global movement to end hunger.

Publications

2019

Book Chapter
[1] Hong Yung Yip, Nur A. Taib, Haris A. Khan and Sarinder K. Dhillon. "Electronic Health Record Integration". in: Ranganathan, S., Gribskov, M., Nakai, K. and Schönbach, C. (eds.), Encyclopaedia of Bioinformatics and Computational Biology, 2019, vol. 2, pp. 1063–1076. Oxford: Elsevier.

Guest Editorial
[1] Amit Sheth, Hong Yung Yip, Arun Iyengar, Paul Tepper. "Cognitive Services and Intelligent Chatbots: Current Perspectives and Special Issue Introduction" in IEEE Internet Computing, 2019.

2018

Journal
[1] Revathy Venkataramanan, Dipesh Kadariya, Hong Yung Yip, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Amit Sheth. "Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application". Submitted to Journal of the American Medical Informatics Association (JAMIA), 2018.

Poster Workshop
[1] Amit Sheth, Hong Yung Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayam, Maninder Kalra. "Augmented Personalized Health: Using Semantically Integrated Multimodal Data for Patient Empowered Health Management Strategies". mHealth Technology Showcase, National Institute of Health - June 2018.
[2] Utkarshani Jaimini, Hong Yung Yip, Revathy Venkataramanan, Dipesh Kadariya, Vaikunth Sridharan, Tanvi Banerjee, Krishnaprasad Thirunarayam, Maninder Kalra, Amit Sheth. "kHealth Digital Personalized Healthcare technology for Pediatric Asthma". mHealth Technology Showcase, National Institute of Health - June 2018.
[3] Amit Sheth, Hong Yung Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayam, Maninder Kalra. "Feasibility of Recording Sleep Quality And Sleep Duration Using Fitbit in Children with Asthma". Abstract in the 32nd Annual Meeting of the Associated Professional Sleep Societies (SLEEP), 2-6 June 2018, Baltimore, MD.
[4] Amit Sheth, Tanvi Banerjee, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Krishnaprasad Thirunarayam, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra. "Correlating Multimodal Signals With Asthma Control In Children Using kHealth Personalized Digital Health System". Abstract in American Thoracic Society (ATS) International Conference, 18-23 May 2018.

Articles
[1] Amit Sheth, Utkarshani Jaimini, Hong Yung Yip, "How Will the Internet of Things Enable Augmented Personalized Health?" in IEEE Intelligent Systems, 33 (1), Jan-Feb 2018.

2016

Journal
[1] Hong Yung Yip, Melissa Poh Su Wei, Chia Yoke Yin. "The Effects of Glycyrrhizic acid And Glabridin in the Regulation of CXCL5 Inflammation Gene on Acceleration of Wound Healing". Asian Pacific Journal of Tropical Biomedicine, 2016, 6(2), p.108-113.

Selected Academic Research & Projects

National Institute of Health (Funded)


Current

kHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care
More than 25 million people in the U.S. are diagnosed with asthma, out of which 7 million are children. Current reactive healthcare costs more than 17% of GDP in the US. Specifically, with the current reactive care for asthma, there were 155,000 hospital admissions and 593,000 ER visits in 2006. It is estimated that, by 2025, over 400 million people will be affected by asthma worldwide. With increasing adoption of mobile devices and low-cost sensors, an unprecedented amount of data is being collected by people. This data collection has exacerbated the problem of understanding the data and making sense of it. In this project, we explore the role of knowledge empowered algorithms in making sense of this data deluge in the context of asthma assessment and management.

Modeling Social Behavior for Healthcare Utilization in Depression
Depression is one of the most common mental disorders in the U.S. and is the leading cause of disability affecting millions of Americans every year. Successful early identification and treatment of depression can lead to many other positive health and behavioral outcomes across the lifespan. This project will apply "big data" techniques and methods for identifying combinations of online socio-behavioral factors and neighborhood environmental conditions that can enable detection of depressive behavior in communities and studying access and utilization of healthcare services.
Keywords: Machine Learning, Knowledge Representation, Social Media Analysis, Natural Language Processing, Supervised and Unsupervised Approach, Big Data

Conversational AI & Bots


2018

NOURICH: Conversational Diet Management Systemhttps://github.com/Joeyipp/NOURICH
NOURICH is a Google Assistant diet management system that intertwine machine learning, natural language processing with domain- and user-specific knowledge graphs to contextualize and personalize conversations as well as augment personal health. The objective is to (i) provide long-term tracking of food log, diet adherence, and daily calorie intake in a ubiquitous manner and (ii) identify diet habits of the users through images and incorporate them to profile the users to deliver personalized and effective dieting guidelines.

Microsoft Bot in a Day Workshop, Detroit, Michigan, May 23-2018
One day hands-on workshop for developers and IT professionals that focuses on the basics of bots, their AI technologies and use cases, and how they are built.

2017

ReaCTrack: Personalized Adverse Reaction Conversational-based Tracker for Clinical Depression
An interdisciplinary project of applying conversational AI for personalized healthcare. The objective is to monitor and keep track of personal well-being and depressive symptoms of patients diagnosed with mental health disorders, with the overall goal of delivering personalized and efficient behavioural or medical interventions.

Knowledge Graph


2016 - Present

An Evaluation of Graph Database for Electronic Medical Records (EMR) Data Visualization and Linked Data Consumption
The project evaluates Neo4j (Graph DB) in visualizing and linking EMR records as well as compares and contrasts the objective and subjective differences between relational and NoSQL database systems to demonstrate NoSQL systems as better data storage and management alternative for large scale data-intensive applications (EMR database systems).

Machine Learning


2016 - Present

Sentiment Analysis of Twitter Data on United States Presidential Election 2016
Built a classifier using supervised Naïve Bayes model to predict the sentiment polarities of tweets.

Application of Machine Learning Algorithms in Coliform Modelling Based On Series of Water Quality Parameters
Proposed, applied, and evaluated the novel use of various machine learning algorithms including Artificial Neural Network (ANN), Self-Organizing Map (SOM), Decision Tree, Random Forest Analysis, Support Vector Machine (SVM), and Fuzzy Logic in coliform modelling to identify and determine the best predictive model(s) to analyze and assess the degree of severity of water quality for the rivers in Malaysia to provide actionable preventative insights.

HMMs for Protein Gene Annotation
Proposed the novel use of Hidden Markov Model (HMM) and extended its functionality with different variants of HMMs (Evolutionary and Generalized HMM), at the same time evaluated their reliability in addressing the issue in gene prediction, specifically protein gene annotation in Prokaryote and Eukaryote compared to traditional non-HMM approach such as Homology-based methods.

Prokaryotic and Eukaryotic Coding Sequence (CDS) Prediction using Hidden Markov Models
Compared and contrasted the differences including reliability between HMM and non-HMM approach in addressing some of the key issues in gene prediction such as Coding (CDS) region prediction in Eukaryote.

Blockchain


2019 - Present

Blockchain and Cryptocurrency
An end-to-end Blockchain Implementation with JS-backend and React-frontend with a Proof-of-work algorithm, blockchain explorer, multi-servers production deployment, real-time connected peer-to-peer server with a pub/sub implementation, transactions signing with cryptography and digital signature, and transaction pool.

Bioinformatics


2014

The Effects of Glycyrrhizic Acid (GA) and Glabridin in the Regulation of CXCL5 Inflammation Gene on Acceleration of Wound Healing
Therapeutic evaluation of antioxidant and anti-inflammatory properties of natural compounds, namely Glycyrrhizic acid and Glabridin from liquorice root on mouse fibroblast cell lines. The project studies the effect of both compounds at both cellular and genetic level with objective to reduce inflammation and to accelerate the rate of wound healing.

2013

Molecular Docking of Glycyrrhizic Acid (GA) on Peroxisome Proliferator-Activated Receptor Gamma (PPAR-γ)

Get in touch

Address

377 Joshi Research Center, 3rd Floor,
3640 Colonel Glenn Highway,
Fairborn, OH 45435.

Call Us

+1 937-239-3215

Enquiries

joey@knoesis.org

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