Selected
Theses/Reports from the Lab
Reading paper
o How to read a research paper
Writing paper
o Use IEEE publication Word template or LaTeX style files to
typeset your report.
Giving
presentation
o The Slide-Structure of a Technical
20-min Presentation
1. A NOVEL DEEP CROSS-DOMAIN FRAMEWORK FOR
FAULT DIAGNOSIS OF ROTARY MACHINERY IN PROGNOSTICS AND HEALTH MANAGEMENT, BEHNOUSH
REZAEIANJOUYBARI, 2021.
2. A Task-oriented Chatbot System Design for TigerAware
survey platform, Shaoyi Zong, 2021.
3. UX/UI Usability Testing and Improvement for TigerAware
Survey Builder Web Dashboard, BENJAVICHA HOTRABHAVANANDA, 2021.
4. Using Google Dialogflow and Firebase to
Create Customized Serverless Chatbots for Survey Systems, Wenbin Guo, 2020.
5. DEEP LEARNING FOR SMALL OBJECT DETECTION IN
IMAGES, Yang Liu, 2020.
6. COMPUTATIONAL PROTEIN STRUCTURE PREDICTION
USING DEEP LEARNING, Zhaoyu Li, 2020 (dissertation,
presentation)
7. TigerAware Conditional Action Engine - An
Extensible Framework for Providing Real-Time Intervention to EMA Surveys, Logan
Harrison, 2020 (report, presentation)
8. TigerAware Microservices: A Modern Backend
for Improved Platform Scalability and Consistency, Connor Rowland, 2020 (report, presentation)
9. IMPROVING OBJECT RECOGNITION IN AERIAL IMAGE
AND AMBULATORY ASSESSMENT ANALYSIS BY DEEP LEARNING, Peng Sun, 2019 (dissertation, presentation)
10. Revise U-Net for Car Image Masking, Yini
Duanmu, 2019 (report, presentation)
11. Development of Survey Visualization and
Advanced Integrated Data Analysis in TigerAware, Rui Huang, 2019 (report, presentation)
12. Serverless Implementation of Conversational
Agent for Delivering Customizable Surveys and Assessments, Yohanes Patrik
Handrianto, 2019 (thesis,
presentation)
13. Region Based Object Detectors for
Recognizing Birds in Aerial Images, Pedro Carrion Castagnola, 2019 (thesis, presentation)
14. TigerAware Android: An Improved Mobile
Survey and Notification System, Weiliang Xia, 2019 (thesis, presentation)
15. Applications of Deep Neural Networks to
Protein Structure Prediction, Chao Fang, 2018 (dissertation,
presentation)
16. TigerAware Dashboard: An Improved Survey
Generation and Response Visualization Dashboard, Jayanth Kanugo, 2018 (thesis, presentation)
17. DESIGN AND IMPLEMENTATION OF WEB-BASED
SURVEY ANALYSIS AND MANAGEMENT SYSTEM, Gaofei Zhao, 2018 (thesis, presentation)
18. APPLICATION OF DEEP LEARNING TO FISH
RECOGNITION, Fuming Xiang, 2018 (thesis, presentation)
19. DESIGN AND IMPLEMENTATION OF CREEL SURVEY
DATA MANAGEMENT APPLICATION, Nishant Chettri, 2017 (thesis, presentation)
20. ACOUSTIC FEATURE-BASED SENTIMENT ANALYSIS OF
CALL CENTER DATA, Zeshan Peng, 2017 (thesis, presentation)
21. DEEP LEARNING METHODS FOR PROTEIN STRUCTION
PREDICTION, Son Phong Nguyen, 2017 (dissertation,
presentation)
22. ASAP AND DEEP ASAP: END-TO-END AUDIO
SENTIMENT ANALYSIS PIPELINES, Avery Wells, 2017 (thesis,
presentation)
23. EMPIRICAL STUDY OF DEEP NEURAL NETWORK
ARCHITECTURES FOR PROTEIN SECONDARY STRUCTURE PREDICTION, Ming Du, 2017 (thesis, presentation)
24. MTD: MOOD TOOLKIT DASHBOARD - A Data
Analytical Web Application for Psychological Research Studies, Dheeraj P.
Srivatsav, 2017 (thesis, presentation)
25. PHYSIOLOGICAL DATA ANALYSIS - ALCOHOL
DRINKING PREDICTION USING STATISTICAL AND DEEP LEARNING METHODS, Can Li, 2017 (thesis, presentation)
26. AMD: ANALYSIS OF MOOD DYSREGULATION - A
Machine Learning Approach, Nickolas M. Wergeles, 2016 (thesis, presentation)
27. TEMPLATE-BASED METHODS FOR PROTEIN MODEL QUALITY ASSESSMENT, Wenbo
Wang, 2016 (thesis, presentation)
28. ANIMAL STAY REGION DETECTION AND BEHAVIOR
ANALYSIS BASED ON GPS TRAJECTORIES, Haidong Wang, 2016 (thesis)
29. WEARABLE SENSING ANALYSIS - IDENTIFYING
ALCOHOL DRINKING FROM DAILY PHYSIOLOGICAL DATA, Chen Zhang, 2016 (thesis, presentation)
30. AN ALGORITHM FOR THE AUTOMATIC CONSTRUCTION OF
BAYESIAN NETWORKS WITH LIMITED DOMAIN KNOWLEDGE, AS APPLIED TO THE PREDICTION
OF ECONOMIC AND DEVELOPMENT INDICATORS OF 248 COUNTRIES AND WORLD REGIONS,
Fernando Torre-Mora, 2016 (thesis, presentation)
31. ACTIVITY IDENTIFICATION FROM ANIMAL GPS
TRACKS WITH SPATIAL TEMPORAL CLUSTERING METHOD DDB-SMOT, Simiao Sun, 2016 (thesis, presentation)
32. DESIGN AND IMPLEMENTATION OF ORTHOPEDIC
TRAUMA SURGERY REHABILITATION AND HEALTH MONITORING SYSTEM (OTSRS),
Ailiyasijiang (Elyas) Yilihamujiang, 2016 (thesis, presentation)
33. AN ENHANCED MOBILE AMBULATORY ASSESSMENT
SYSTEM FOR ALCOHOL CRAVING STUDIES, Ruiqi Shi, 2015 (thesis,
presentation)
34. ENHANCED DETECTION OF LINEARLY DISTORTED
QUICK RESPONSE (QR) CODES IN SMART PHONES, Manav Singhal, 2015 (thesis, presentation)
35. MACHINE LEARNING METHODS FOR EVALUATING THE
QUALITY OF A SINGLE PROTEIN MODEL USING ENERGY AND STRUCTURAL PROPERTIES,
Junlin Wang, 2015 (thesis, presentation)
36. A DEEP LEARNING METHOD FOR PROTEIN MODEL
QUALITY ASSESSMENT, Son Phong Nguyen, 2014 (thesis,
presentation)
37. NAIVE
BAYES ALGORITHM FOR TWITTER SENTIMENT ANALYSIS AND ITS IMPLEMENTATION IN
MAPREDUCE, Zhaoyu Li, 2014 (thesis,
presentation)
38. PREDICTING STOCK PRICE USING SENTIMENT
ANALYSIS COMBINING TWITTER, SEARCH ENGINE AND INVESTOR INTELLIGENCE DATA, Rui
Wu, 2014 (thesis, presentation)
39. AN EVOLUTIONARY METHOD FOR TRAINING AUTOENCODERS
FOR DEEP LEARNING NETWORKS, Sean Lander, 2014 (thesis,
presentation)
40. APPLICATION OF SENTIMENT ANALYSIS ON TWITTER
USING STORM, Caiwei Wang, 2014 (thesis,
presentation)
41. ESTIMATE OF HUMAN'S DEHYDRATION LEVEL BASED
ON EDA AND TRI-AXIAL DYNAMIC ACCELERATIONS, Bo Cai, 2014 (thesis, presentation)
42. DEVELOPMENT OF A WIRELESS BODY AREA SENSING
SYSTEM FOR ALCOHOL CRAVING STUDY, Sandeep Ravi, 2013 (thesis, presentation)
43. MULTI-DIMENSIONAL SCALING AND MODELLER BASED
EVOLUATIONARY ALGORITHMS FOR PROTEIN MODEL REFINEMENT, Yan Chen, 2013 (thesis, presentation)
44. ACTIVE LABELING IN DEEP LEARNING AND ITS
APPLICATION TO EMOTION PREDICTION, Dan Wang, 2013 (thesis,
presentation)
45. APPLICATION OF DEEP LEARNING NETWORKS TO
CRIME PREDICTION, Chao Fang, 2013 (thesis,
presentation)
46. GEO-TAGGING AND PRIVACY-PRESERVATION IN MOBILE
CLOUD COMPUTING, Qia Wang, 2013 (thesis, presentation)
47. STATISTICAL MODEL-BASED METHODS FOR
OBSERVATION SELECTION IN WIRELESS SENSOR NETWORKS AND FOR FEATURE SELECTION IN
CLASSIFICATION, Qi Qi, 2012 (thesis, presentation)
48. DEVELOPMENT OF A MODULAR PLATFORM FOR AD HOC
NETWORKING ON ANDROID, Paul Baskett, 2012 (thesis, presentation)
49. DESIGN AND IMPLEMENTATION OF A MIDDLEWARE
FOR AD-HOC MULTI-HOP NETWORKING ON ANDROID, Tiancheng Zhuang, 2012 (thesis,
presentation)
50. VISUALIZATION OF RECOMMENDATION SYSTEM RESULTS
IN A RELATION-PRESERVING SPACE, Curtis Kelsey, 2012 (thesis, presentation)
51. APPLICATION OF EVOLUTIONARY ALGORITHM ON
PROTEIN TERTIARY STRUCTURE REFINEMENT, Wei Xiong, 2012 (thesis, presentation)
52. THE DESIGN AND IMPLEMENTATION OF WAKE IQ: AN
EMPIRICALLY-LEARNING PROBABILISTIC MOBILE APP TO REDUCE SLEEP INERTIA, Michael
Van Devender, 2012 (thesis, presentation)
53. APPLICATION OF DEEP BELIEF NETWORKS FOR
MELANOMA RECOGNITION, Devlina Banerjee, 2012 (thesis, presentation)
54. HIGH-ACCURACY SKIN LESION SEGMENTATION AND
SIZE DETERMINATION, Jae Won Shin, 2011 (thesis)
55. THE DESIGN AND IMPLEMENTATION OF A MOBILE,
AUTOMATED SKIN LESION CLASSIFICATION SYSTEM, Kiran Ramlakhan, 2011 (thesis,
presentation)
56. NOVEL ALGORITHMS FOR MULTIPLE LONGEST COMMON
SUBSEQUENCE (MLCS) PROBLEM AND PROTEIN TERTIARY STRUCTURE PREDICTION QUALITY
ASSESSMENT, Qingguo Wang, 2011 (thesis, presentation)
57. PEOPLE ACTIVITY ANALYSIS BASED ON WiFi
NETWORK TRAFFIC, Thammarat Limsawas, 2010 (thesis, presentation)
58. NEW CONCENSUS-BASED ALGORITHMS FOR PROTEIN
STRUCTURE PREDICTION QUALITY ASSESSMENT AND SELECTION, Kittinun Vantasin, 2010
(thesis, presentation)
59. STATISTICAL INFERENCE IN WIRELESS SENSOR AND
MOBILE NETWORKS, Peng Zhuang, 2010 (dissertation, presentation)