-Prospective Master Writing Project Students (For SJSU regular students ONLY)
  1. Took one or more graduate classes from Dr. Moh.
  2. Email me your resume, SJSU unofficial transcript, and study plan for remaining classes before meet me during my office hours.
Past Successful Master Writing Projects (Number of Incomplete Projects: 13)


 Student
 Project Title
 Defense Date
 Employer after Defense
50
 Roshni Velluva Puthanidam Time-Efficient Hybrid Approach for Facial Expression Recognition
 Dec. 2017
 Walmart Inc.
49
 Lihao Ge
 Improving Text Classification with Word Embedding
 May 2017
 PayPal Corporation
48 Yan Zhu Multi-Layer Text Classification of Restaurant Reviews Nov. 2016 Sun-Net Consulting Inc.
47 Yang Peng Sentiment Analysis of Twitter’s Drug Related Tweets and Adverse Drug Events Extraction May 2016 SmartOrg, Inc.
46 Parul Sharma Prediction of Indian Election Using Sentiment Analysis on Hindi Twitter May 2016 Pearl Automation Inc.
45 Joseph A. James Web-Based Visualization of Marine Environmental Data: Performance Analysis of a MatPlotLib Implementation Apr. 2016 Epson Research and Development, Inc.
44 Nupur Kohli Image Feature Matching and Its Parallelization Using OpenMP Dec. 2015 Cisco Systems, Inc.
43 Dhwanil Karwa San Jose State University iOS Application with Multi-label News Classification Dec. 2015 ZipRecruiter, Inc.
42 Xianghui Zhu Assessing Photograph Aesthetic Quality with Color Based Descriptor Dec. 2015 Google Inc.
41 Prijala Nair Alleviating Cold Start Problem Using User’s Social Media Presence Nov. 2015 Cisco Systems, Inc.
40 Pingchuan Liu Content Based Spam Email Filtering May 2015 Financial Engines Inc.
39 Fan Yu Drugs and Effects Relation Extraction from Twitter Based on Supervised Learning May 2015 SmartOrg, Inc.
38 Karan Khare User Authentication Based nn Mobile Gestures Using Machine Learning May 2015 Sears Holdings Management Corp.
37 Irving Cordova DBSCAN on Apache Spark May 2015 Nokia
36 Eve Zheng Musicological N-gram Approach in Genre Classification May 2015 Reflektion, Inc.
35 Vicky Na Zhao

Weighted Switching Hybrid Contextual-Aware (W-SHCA) Recommender System for Cold-Start Problem

 May 2015 Cisco Systems, Inc.
34 Liang Wu Twitter Opinion Mining for Adverse Drug Events May 2015 Intuit Inc.
33 Eugene Turkov DMU: Data Management Utility May 2015 NASA
32 Hiep V. Hong Topic Modeling for Email Apr. 2015 Lockheed Martin Corp.
31 Matt Talistu Distributed Data Stream Analysis Using Gossip-Based Spectral Clustering Mar. 2015 Adobe Systems Inc.
30 Avinash Anatharamu Using Social Networks for Assesing Company Sales and Marketing Programs May 2014 Synopsys, Inc.
29 Sahil Badla Improving the Efficiency and Accuracy of Tesseract OCR Engine May 2014 Ericsson
28 Lokmanyathilak Govindan Sankar Selvan Opinion Mining on Twitter Data Stream to Give Companies an Up-to-Date Feedback on Their Free Products May 2014 SmartOrg, Inc.
27 John Calvin Linford Parallelized Rigid Body Dynamics Dec. 2013 Cisco Systems, Inc.
26 Kam Ho Ho Semantic Search over Encrypted Data in Cloud Computing May 2013 IBM Corp.
25 Scott Bolter Predicting Product Review Helpfulness Using Machine Learning and Specialized Classification Models May 2013 Netflix, Inc.
24 Ananth Gopal Enhanced Clustering of Technology Tweets May 2013 PayPal Corporation
23 Kyoung-Hwan Yun Application of Secretary Algorithm to Dynamic Load Balancing in User-Space on Multicore Systems May 2013 Cisco Systems, Inc.
22 Francesco Indaco Hierarchical Clustering Using Level Sets Dec. 2012 E la Carte Inc.
21 Vance Tomchalk Using Social Networks for Assessing Company Sales and Marketing Programs Dec. 2012 Altera Corporation
20 Sachin Kamath Stock Market Analysis May 2012 Fusion-io, Inc.
19 Parin Mukeshkumar Shah Face Detection from Images Using Support Vector Machine May 2012 Altera Corporation
18 SivaNaga Prasad Shola Identifying Influential Bloggers May 2012 Cerner Corporation
17
 Surya Bhagvat
 Clustering of Twitter Technology Tweets and the Impact of Stopwords on Clusters
 Feb. 2012
 eBay Inc.
16
 Zhang Zhang
 Cross-Lingual Text Classification with Model Translation and Document Translation
 Feb. 2012
 Blackhawk Network Inc.
15
 Charul Saxena
 Enhancing Productivity of Recruitment Process Using Data Mining & Text Mining Tools
 Dec. 2011
 Texas Instruments Inc.
14
 Jehaan Kersi Irani
 N-Grams Assisted Long Web Search Query Optimization
 Dec. 2011
 Yahoo! Inc.
13
 Victor Chen
 Improving Molecular Fingerprint Similarity via Enhanced Folding
 May 2011
 Gilead Sciences, Inc.
12
 Raymond Siulai Wong BitTorrent Traffic Detection with Deep Packet Inspection and Deep Flow Inspection
 May 2011
 Cadence Design Systems, Inc.
11
 Nicholas Lee
 Improving Spam Classification Times Using Multiple Instance Classifiers
 May 2010
 Responsys, Inc.
10
 BingChun Chang
 A Running Time Improvement for Two Thresholds Two Divisors Algorithm
 Dec. 2009
 Asus Computer International
9
 Ameya Vikas Sabnis
 Hybrid Clustering with Application to Web Pages
 Dec. 2009
 Super Micro Computer, Inc.
8
 Alexander J. Murmann
 Enhancing Spammer Detection in Online Social Networks with Trust-Based Metrics
 Nov. 2009
 Pivotal Labs
7
 Ashish Kaul
 Visualized Architecture Knowledge Management Collaboration Services
 May 2009
 Cisco Systems, Inc.
6
 Barath Kuppuswamy
 Reduced Power Usage and Downtime in Data Centers
 May 2009
 Symantec Corp.
5
 Neha Sushil Saxena
 Improving Web Recommendations Using Web Usage Mining and Web Semantics
 May 2009
 Intuit Inc.
4
 Kenneth Yeung
 Multi-Dimensional Partitioning in BUC for Data Cubes
 Dec. 2008
 InfoImage Inc.
3
 Yucheng Shih
 A Multiple-Copy Scheme for Multi-Channel Stop-and-Wait HARQ
 Sept. 2007
 ASUSTeK Computer Inc.
2
 Po Chih Chen
 Improvement of Clustering Engine in the Internet Based on Correlation
 Aug. 2007
 IBM Corp.
1
 Dimas Dwihananto
 Finding the Right Keywords for the Target Audience
 May 2007
 Chevron Corp.

Selected Student Publications
  1. Gaurav Kuppa (BSCMPE), Andrew Jong (BSCS), Xin Liu, Ziwei Liu, and Teng-Sheng Moh, "ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on," Proceedings of the 21st IEEE Winter Applications of Computer Vision Workshops (WACVW), Waikoloa, Hawaii, Jan. 2021, 10 pages.
  2. Eric Tjon (MSCS), Melody Moh, and Teng-Sheng Moh, "Eff-YNet: A Dual Task Network for DeepFake Detection and Segmentation," Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication (IMCOM), Seoul, South Korea, Jan. 2021, 8 pages.
  3. Charles Thane MacKay (MSCS) and Teng-Sheng Moh, "Learning for Free: Object Detectors Trained on Synthetic Data," Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication (IMCOM), Seoul, South Korea, Jan. 2021, 8 pages.
  4. Vinay Ponnaganti (MSCS), Melody Moh, and Teng-Sheng Moh, "Utilizing CNNs for Object Detection with LiDAR Data for Autonomous Driving," Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication (IMCOM), Seoul, South Korea, Jan. 2021, 6 pages.
  5. Dapeng Guo (MSCS), Melody Moh, and Teng-Sheng Moh, "Vision-based Autonomous Driving for Smart City: A Case for End-to-End Learning Utilizing Temporal Information," Proceedings of the 5th International Conference on Smart Computing and Communication (SmartCom), New York, New York, Dec. 2020, pp. 19-28.
  6. Vinay Ponnaganti (MSCS), Melody Moh, Teng-Sheng Moh, "Deep Learning for LiDAR-Based Autonomous Vehicles in Smart Cities," in: Juan Carlos Augusto (eds.), Handbook of Smart Cities, Springer, Cham, Oct. 2020.
  7. Yihang Tang (MSCS), Melody Moh, and Teng-Sheng Moh, "Traffic Flow Prediction with Convolutional Neural Network Accelerated by Spark Distributed Cluster," in: Rashimi Agrawal, Marcin Paprzycki, and Neha Gupta (eds.), Big Data, IoT, and Machine Learning: Tools and Applications, CRC Press, July 2020.
  8. Andrew Jong (BSCS), Gaurav Kuppa (BSCMPE), Xin Liu, Teng-Sheng Moh, and Ziwei Liu, 1st Place Award in Track 4: Video Virtual Try-on Challenge, Towards Human-Centric Image/Video Synthesis and the 4th Look Into Person (LIP) Challenge, CVPR Workshops, Seattle, Washington, June 2020.
  9. Andrew Jong (BSCS), Melody Moh, and Teng-Sheng Moh, "Virtual Try-On With Generative Adversarial Networks: A Taxonomical Survey," in: Muhammad Sarfraz (eds.), Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies, IGI Global, May 2020.
  10. Dylan Wang (MSCS), Melody Moh, and Teng-Sheng Moh, "Using Deep Learning and Steam User Data for Better Video Game Recommendations," Proceedings of the 56th ACM Southeast Conference (ACMSE), Tampa, Florida, Apr. 2020, pp. 154-159.
  11. Melody Moh, David Nguyen (MSCS), Teng-Sheng Moh, and Brian Khieu (MSCS), "Blockchain for Efficient Public Key Infrastructure and Fault-Tolerant Distributed Consensus," in: Kim-Kwang Raymond Choo, Ali Dehghantanha, and Reza M. Parizi (eds), Blockchain Cybersecurity, Trust and Privacy, Advances in Information Security, vol 79. Springer, Cham, Mar. 2020, pp. 69-97.
  12. Ravali Koppaka (MSCS) and Teng-Sheng Moh, "Machine Learning in Indian Crop Classification of Temporal Multi-Spectral Satellite Image," Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), Taichung, Taiwan, Jan. 2020,  8 pages.
  13. Sharan Duggirala (MSCS) and Teng-Sheng Moh, "A Novel Approach to Music Genre Classification using Natural Language Processing and Spark," Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), Taichung, Taiwan, Jan. 2020,  8 pages. [Honorable Paper Award]
  14. Melody Moh, Teng-Sheng Moh, and Brian Khieu (MSCS), "No "Love" Lost: Defending Hate Speech Detection Models Against Adversaries," Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), Taichung, Taiwan, Jan. 2020,  6 pages.
  15. Dylan Wang (MSCS), Melody Moh, and Teng-Sheng Moh, "Using Deep Learning to Solve Google reCAPTCHA v2’s Image Challenges," Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), Taichung, Taiwan, Jan. 2020,  5 pages.
  16. Revanth Akella (MSCS) and Teng-Sheng Moh, "Mood Classification with Lyrics and ConvNets," Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA),  Boca Raton, Florida, Dec., 2019, pp. 511-514.
  17. Heemany Shekhar (MSCS), Melody Moh, and Teng-Sheng Moh, "Exploring Adversaries to Defend Audio CAPTCHA," Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA),  Boca Raton, Florida, Dec., 2019, pp. 1155-1161.
  18. Steven Yen (MSCS), Melody Moh, and Teng-Sheng Moh, "CausalConvLSTM: Semi-Supervised Log Anomaly Detection Through Sequence Modeling," Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA),  Boca Raton, Florida, Dec., 2019, pp. 1334-1341.
  19. Nag Mani (MSCS), Melody Moh, and Teng-Sheng Moh, "Towards Robust Ensemble Defense Against Adversarial Examples Attack,"Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM),  Waikoloa, Hawaii, Dec. 2019, 6 pages.
  20. Sui Kun Guan (MSCS), Melody Moh, and Teng-Sheng Moh, "Context-based Multi-stage Offline Handwritten Mathematical Symbol Recognition using Deep Learning." Proceedings of the 17th International Conference on High Performance Computing and Simulation (HPCS), Dublin, Ireland, July 2019, pp. 185-192.
  21. Andrew Jong (BSCS) and Teng-Sheng Moh, "Short Video Datasets Show Potential for Outfits in Augmented Reality," Proceedings of the 17th International Conference on High Performance Computing and Simulation (HPCS), Dublin, Ireland, July 2019, pp. 201-208.
  22. David Nguyen (MSCS) and Teng-Sheng Moh, "Randition: Random Blockchain Partitioning for Write Throughput," Proceedings of the 17th International Conference on High Performance Computing and Simulation (HPCS), Dublin, Ireland, July 2019, pp. 795-802.
  23. Dylan Wang (MSCS) and Teng-Sheng Moh, "Hearthstone AI: Oops to Well Played," Proceedings of the 55th ACM Southeast Conference (ACMSE), Kennesaw, Georgia, Apr. 2019, pp. 149-154. [Best Paper Award]
  24. Robinson Raju (MSCS), Melody Moh, and Teng-Sheng Moh, "Compression of Wearable Body Sensor Network Data," in Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang (ed.), Smart Data: State-of-the-Art Perspectives in Computing and Applications, Chapman and Hall/CRC, Mar. 2019, pp. 215-242.
  25. Shashank Shivaji Pawar (MSCS), Melody Moh and Teng-Sheng Moh, "Micro-Expression Recognition Using Motion Magnification and Spatiotemporal Texture Map," Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM), Phuket, Thailand, Jan. 2019,  20 pages.
  26. Anusha Sridharan (MSCS), Melody Moh, and Teng-Sheng Moh, "Similarity Estimation for Classical Indian Music," Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA),  Orlando, Florida, Dec., 2018, pp. 814-819.
  27. Shantanu Deshmukh (MSCS) and Teng-Sheng Moh, "Fine Object Detection in Automated Solar Panel Layout Generation," Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA),  Orlando, Florida, Dec., 2018, pp. 1402-1407.
  28. Yeshwanth Balachander (MSCS) and Teng-Sheng Moh, "Ontology Based Similarity for Information Technology Skills," Proceedings of the 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, Aug. 2018, pp. 302-305.
  29. Rahul Dalal (MSCS) and Teng-Sheng Moh, "Fine-Grained Object Detection Using Transfer Learning and Data Augmentation," Proceedings of the 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, Aug. 2018, pp. 903-910.
  30. Nikita Ramesh (MSCS) and Teng-Sheng Moh, "Outfit Recommender System," Proceedings of the 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, Aug. 2018, pp. 302-305.
  31. Ravee Khandagale (MSCS) and Teng-Sheng Moh, "Using Filters in Time-based Movie Recommender Systems," Proceedings of the 16th IEEE International Conference on High Performance Computing and Simulation (HPCS), Orleans, France, July 2018, pp. 242-251.
  32. Robinson Raju (MSCS), Melody Moh, and Teng-Sheng Moh, "Compression of Wearable Body Sensor Network Data Using Improved Two-Threshold-Two-Divisor Data Chunking Algorithms," Proceedings of the 16th IEEE International Conference on High Performance Computing and Simulation (HPCS), Orleans, France, July 2018, pp. 949-956.
  33. Kevin Ross (MSCS), Melody Moh, Teng-Sheng Moh, and Jason Yao, "Multi-source Data Analysis and Evaluation of Machine Learning Techniques for SQL Injection Detection," Proceedings of the 54th ACM Southeast Conference (ACMSE), Richmond, Kentucky, Mar. 2018, Article No. 1, 8 pages.
  34. Tejaswini Choudhari (MSCS), Melody Moh, and Teng-Sheng Moh, "Prioritized Task Scheduling in Fog Computing," Proceedings of the 54th ACM Southeast Conference (ACMSE), Richmond, Kentucky, Mar. 2018, Article No. 22, 8 pages.
  35. Roshni Velluva Puthanidam (MSCS) and Teng-Sheng Moh, "A Hybrid Approach for Facial Expression Recognition," Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication (IMCOM), Langkawi, Malaysia, Jan. 2018, Article No. 60, 8 pages.
  36. Lihao Ge (MSCS) and Teng-Sheng Moh, "Improving Text Classification with Word Embedding," Proceedings of the 5th IEEE International Conference on Big Data (BigData), Boston, Massachusetts, Dec. 2017, pp. 1796-1805.
  37. Melody Moh, Teng-Sheng Moh, Yang Peng (MSCS), and Liang Wu (MSCS), "On Adverse Drug Event Extractions Using Twitter Sentiment Analysis," Network Modeling Analysis in Health Informatics and Bioinformatics (NetMAHIB), 6(1): 18, Dec. 2017, 12  pages.
  38. Dennis Hsu (MSCS), Melody Moh, and Teng-Sheng Moh, "Mining Frequency of Drug Side Effects over a Large Twitter Dataset Using Apache Spark," Proceedings of the 9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Sydney, Australia, July 2017, pp. 915-924.
  39. Behrooz Shahriari (MSCS), Melody Moh, and Teng-Sheng Moh, "Generic Online Learning for Partial Visible Dynamic Environment with Delayed Feedback," Proceedings of the 15th IEEE International Conference on High Performance Computing and Simulation (HPCS), Genoa, Italy, July 2017, pp. 176-185.
  40. Kevin Ross (MSCS), Melody Moh, Teng-Sheng Moh, and Jason Yao, "Poster: Multi-source data analysis for SQL injection detection," The 38th IEEE Symposium on Security and Privacy, San Jose, California, May 2017, 3 pages.
  41. Eve Zheng (MSCS), Melody Moh, and Teng-Sheng Moh, "Music Genre Classification: A N-Gram Based Musicological Approach," Proceedings of the 7th IEEE International Advance Computing Conference (IACC), Hyderabad, Telangana, India, Jan. 2017, pp. 671-677.
  42. Parul Sharma (MSCS) and Teng-Sheng Moh, "Prediction of Indian Election Using Sentiment Analysis on Hindi Twitter," Proceedings of the 4th IEEE International Conference on Big Data (BigData), Washington, D.C., Dec. 2016, pp.1966-1971.
  43. Yan Zhu (MSCS), Melody Moh, and Teng-Sheng Moh, "Multi-Layer Text Classification with Voting for Consumer Reviews," Proceedings of the 4th IEEE International Conference on Big Data (BigData), Washington, D.C., Dec. 2016, pp.1991-1999.
  44. Prijila Nair (MSCS), Melody Moh, and Teng-Sheng Moh, "Using Social Media Presence for Alleviating Cold Start Problems in Privacy Protection," Proceedings of the 17th IEEE International Conference on Collaboration Technologies and Systems (CTS), Orlando, Florida, Oct. 2016, pp. 11-17.
  45. Pingchuan Liu (MSCS) and Teng-Sheng Moh, "Content Based Spam E-mail Filtering," Proceedings of the 17th IEEE International Conference on Collaboration Technologies and Systems (CTS), Orlando, Florida, Oct. 2016, pp. 218-224.
  46. Nupur Kohli (MSCS) and Teng-Sheng Moh, "Image Feature Matching and Its Parallelization Using OpenMP," Proceedings of the 17th IEEE International Conference on Collaboration Technologies and Systems (CTS), Orlando, Florida, Oct. 2016, pp. 249-256.
  47. Joseph A. James (MSCS), Teng-Sheng Moh, and Christopher A. Edwards, "Web-Based Visualization of Marine Environmental Data: Performance Analysis of a MatPlotLib Implementation," Proceedings of the 17th IEEE International Conference on Collaboration Technologies and Systems (CTS), Orlando, Florida, Oct. 2016, pp. 288-293.
  48. Yang Peng (MSCS), Melody Moh, and Teng-Sheng Moh, "Efficient Adverse Drug Event Extraction Using Twitter Sentiment Analysis," Proceedings of the 8th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, California, Aug. 2016, pp. 1101-1018.
  49. Xianghui Zhu (MSCS) and Teng-Sheng Moh, "Assessing Photograph Aesthetic Quality with Color Based Descriptor," Proceedings of the 14th IEEE International Conference on High Performance Computing and Simulation (HPCS), Innsbruck, Austria, July 2016, pp. 222-229.
  50. Fan Yu (MSCS), Melody Moh, and Teng-Sheng Moh, "Towards Extracting Drug-Effect Relation From Twitter: A Supervised Learning Approach," Proceedings of the IEEE International Conference on Intelligent Data and Security (IDS), New York, New York, Apr. 2016, pp. 339-344.
  51. Vicky Na Zhao (MSCS), Melody Moh, and Teng-Sheng Moh, "Contextual-Aware Hybrid Recommender System for Mixed Cold-Start Problems," Proceedings of the IEEE International Conference on Intelligent Data and Security (IDS), New York, New York, Apr. 2016, pp. 400-405.
  52. Melody Moh, Santhosh Pininti (MSCS), Sindhusha Doddapaneni (MSCS), and Teng-Sheng Moh, "Detecting Web Attacks Using Multi-Stage Log Analysis," Proceedings of the 6th IEEE International Advance Computing Conference (IACC), Bhimavaram, Andhra Pradesh, India, Feb. 2016, pp. 733-738.
  53. Melody Moh, Abhiteja Gajjala (MSCS), Siva Charan Reddy Gangireddy (MSCS), and Teng-Sheng Moh, "On Multi-Tier Sentiment Analysis using Supervised Machine Learning," Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Singapore, Singapore, Dec. 2015, pp. 341-344.
  54. Karan Khare (MSCS) and Teng-Sheng Moh, "Mobile Gesture-Based iPhone User Authentication," Proceedings of the 3rd IEEE International Conference on Big Data (BigData), Santa Clara, California, Oct. 2015, pp.1615-1621.
  55. Liang Wu (MSCS), Teng-Sheng Moh, and Natalia Khuri, "Twitter Opinion Mining for Adverse Drug Reactions," Proceedings of the 3rd IEEE International Conference on Big Data (BigData), Santa Clara, California, Oct. 2015, pp.1570-1574.
  56. Irving Cordova (MSCS) and Teng-Sheng Moh, "DBSCAN on Resilient Distributed Datasets," Proceedings of the 13rd IEEE International Conference on High Performance Computing and Simulation (HPCS), Amsterdam, The Netherlands, July 2015, pp. 531-540.
  57. Hiep Hong (MSCS) and Teng-Sheng Moh, "Effective Topic Modeling for Email," Proceedings of the 13rd IEEE International Conference on High Performance Computing and Simulation (HPCS), Amsterdam, The Netherlands, July 2015, pp. 342-349.
  58. Matt Talistu (MSCS), Teng-Sheng Moh, and Melody Moh, "Gossip-based Spectral Clustering of Distributed Data Streams," Proceedings of the 13rd IEEE International Conference on High Performance Computing and Simulation (HPCS), Amsterdam, The Netherlands, July 2015, pp 325-333. [Nominee, Outstanding Paper Award]
  59. Lokmanyathilak Govindan Sankar Selvan (MSCS) and Teng-Sheng Moh, "A Framework for Fast-Feedback Opinion Mining on Twitter Data Streams," Proceedings of the 16th IEEE International Conference on Collaboration Technologies and Systems (CTS), Atlanta, Georgia, Jun. 2015, pp. 314-318.
  60. Francesco Alex Indaco (MSCS) and Teng-Sheng Moh, "Hierarchical Density-Based Clustering Using Level-Sets," Proceedings of the 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Singapore, Singapore, Dec. 2014, pp. 692-695.
  61. Teng-Sheng Moh and Kam Ho Ho (MSCS), "Semantic Search over Encrypted Data in Cloud Computing," Proceedings of the 12nd IEEE International Conference on High Performance Computing and Simulation (HPCS), Bologna, Italy, July 2014, pp. 382-390.
  62. Teng-Sheng Moh and Kyoung-Hwan Yun (MSCS), "Application of Secretary Algorithm to Dynamic Load Balancing in User-Space on Multicore Systems - Poster Paper," Proceedings of the 12nd IEEE International Conference on High Performance Computing and Simulation (HPCS), Bologna, Italy, July 2014, pp. 968-977. [Outstanding Poster Paper Award]
  63. Scott Bolter (MSCS) and Teng-Sheng Moh, "Using Specialized Support Vector Machines to Detect Helpful and Unhelpful Product Reviews," Proceedings of the 6th ASE International Conference on Social Computing (SocialCom), Stanford, California, May 2014.
  64. John Calvin Linford (MSCS) and Teng-Sheng Moh, "Parallelized Rigid Body Dynamics," Proceedings of the 52th ACM Southeast Conference (ACMSE), Kennesaw, Georgia, Mar. 2014.
  65. Teng-Sheng Moh and SivaNaga Prasad Shola (MSCS), "New factors for identifying influential bloggers," Proceedings of the 1st IEEE International Conference on Big Data (BigData), Santa Clara, California, Oct. 2013, pp.18-27.
  66. Raymond Siulai Wong (MSCS), Teng-Sheng Moh, and Melody Moh, "Semi-Supervised Learning BitTorrent Traffic Detection," in Qurban A. Memon (ed.), Distributed Networks: Intelligence, Security, and Applications, CRC Press, Jul. 2013, pp. 191-209.
  67. Teng-Sheng Moh and Parin Mukeshkumar Shah (MSCS), "Time-efficient architecture for face detection from images using support vector machine," Proceedings of the 51th ACM Southeast Conference (ACMSE), Savannah, Georgia, Apr. 2013, No. 18.
  68. Teng-Sheng Moh and Surya Bhagvat (MSCS), "Clustering of Technology Tweets and the Impact of Stop Words on Clusters," Proceedings of the 50th ACM Southeast Conference (ACMSE), Tuscaloosa, Alabama, Mar. 2012, pp. 226-231.
  69. Teng-Sheng Moh and Jehaan Irani (MSCS), "Random Selection Assisted Long Web Search Query Optimization," Proceedings of the 50th ACM Southeast Conference (ACMSE), Tuscaloosa, Alabama, Mar. 2012, pp. 182-186.
  70. Teng-Sheng Moh and Zhang Zhang (MSCS), "Cross-Lingual Text Classification with Model Translation and Document Translation," Proceedings of the 50th ACM Southeast Conference (ACMSE), Tuscaloosa, Alabama, Mar. 2012, pp.71-76.
  71. Victor Chen (MSCS), Teng-Sheng Moh, and Diane Moh, "Improving Molecular Fingerprint Similarity via Enhanced Folding," Proceedings of the 50th ACM Southeast Conference (ACMSE), Tuscaloosa, Alabama, Mar. 2012, pp. 65-70.
  72. Raymond Siulai Wong (MSCS), Teng-Sheng Moh, and Melody Moh, "Efficient Semi-Supervised Learning BitTorrent Traffic Detection with Deep Packet and Deep Flow Inspections," Proceedings of the 6th International Conference on Information Systems, Technology, and Management (ICISTM), Grenoble, France, Mar. 2012, pp. 152-163.
  73. Raymond Siulai Wong (MSCS), Teng-Sheng Moh, and Melody Moh, "Efficient Semi-Supervised Learning BitTorrent Traffic Detection - An Extended Summary - (Poster Paper)," Proceedings of the 13th International Conference on Distributed Computing and Networking (ICDCN), Hong Kong, China, Jan. 2012, pp. 540-543.
  74. Teng-Sheng Moh and Nicholas Lee (MSCS), "Reducing Classification Times for Email Spam Using Incremental Multiple Instance Classifiers," Proceedings of the 5th International Conference on Information Systems, Technology, and Management (ICISTM), Gurgaon, India, Mar. 2011, pp. 189-197.
  75. Teng-Sheng Moh and Ashish Kaul (MSCS), "A Prototype for Visualized Architecture Knowledge Collaboration Services," Proceedings of the 2010 IEEE International Conference on Granular Computing (GrC), San Jose, California, Aug. 2010, pp. 357-362.
  76. Teng-Sheng Moh, Barath Kuppuswamy (MSCS), and Melody Moh, "Prioritizing Power Management and Reducing Downtime for Energy Conservation in Data Centers," Proceedings of the 15th IEEE Symposium on Computers and Communications (ISCC), Riccione, Italy, June 2010, pp.802-804.
  77. Teng-Sheng Moh and Ameya Sabnis (MSCS), "Applying Hybrid KEPSO Clustering to Web Pages," Proceedings of the 48th ACM Southeast Conference (ACMSE), Oxford, Mississippi, Apr. 2010.
  78. Teng-Sheng Moh and BingChun Chang (MSCS), "A Running Time Improvement for the Two Thresholds Two Divisors Algorithm," Proceedings of the 48th ACM Southeast Conference (ACMSE), Oxford, Mississippi, Apr. 2010.
  79. Teng-Sheng Moh and Neha Sushil Saxena (MSCS), "Personalizing Web Recommendations Using Web Usage Mining and Web Semantics with Time Attribute," Proceedings of the 4th International Conference on Information Systems, Technology, and Management (ICISTM), Bangkok, Thailand, Mar. 2010, pp. 244-254.
  80. Teng-Sheng Moh and Alexander Murmann (MSCS), "Can You Judge a Man by His Friends? - Enhancing Spammer Detection on the Twitter Microblogging Platform Using Friends and Followers," Proceedings of the 4th International Conference on Information Systems, Technology, and Management (ICISTM), Bangkok, Thailand, Mar. 2010, pp. 210-220.
  81. Melody Moh, Teng-Sheng Moh, and Yucheng Shih (MSCS), "Enhanced Hybrid ARQ for WiMAX," in Yan Zhang (ed.), WiMAX Network Planning and Optimization, Auerbach Publications, Boca Raton, Florida, Apr. 2009, pp. 93-111.
  82. Teng-Sheng Moh and Kenneth Yeung (MSCS), "An Effective Heuristic for Multi-Dimensional Partitioning in Bottom-Up Computation for Data Cubes," Proceedings of the International Conference of Computing, in Engineering, Science and Information, Fullerton, California, Apr. 2009, pp. 159-163.
  83. Melody Moh, Teng-Sheng Moh, and Yucheng Shih (MSCS), "On Enhancing WiMAX Hybrid ARQ: A Multiple-Copy Approach," Proceedings of the 5th IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, Nevada, Jan. 2008, pp. 902-906.
  84. Dimas Dwihananto (MSCS) and Teng-Sheng Moh, "Effectively Finding the Right Keywords for the Target Audience," Proceedings of the 7th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Cairo, Egypt, Dec. 2007, pp. 775-780.
  85. Po Chih Chen (MSCS) and Teng-Sheng Moh, "Quality Improvement of Clustering Engine in the Internet Based on Correlation," Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Fremont, California, Nov. 2007, pp. 303-306.