People

Tim Menzies

Tim Menzies (Ph.D., UNSW, 1995) is a full Professor in CS at North Carolina State University where he teaches software engineering and search-based SE. His research relates to synergies between human and artificial intelligence, with particular application to data mining for software engineering. He is the author of over 230 referred publications; and is the author of one of the 100 most cited papers in SE (cites/year). For more information, see his home page or his list of publications. Also:

  • Funding: $8M in research funding from NSF, NIJ, DoD, NASA, NARA, USDA, LEXIS NEXIS, GRAMMATECH and others.
  • Grad students:: 8 + 23 graduated Ph.D. + masters; and 10 + 1 current Ph.D. + masters;
  • Editorial boards:: TSE, EMSE, IST, ASE, SQJ, Big Data journal
  • Conference Work - co-General chair: ICMSE’16 - co-PC-chair: SSBSE’17, ICSE NEIR’15, ASE’12 - PCs: ICSE’18, EASE’17, ASE’16, ISSRE’16, SSBSE’16, BIGDSE’16, PROMISE’16 - PCs, before: ICSE, ASE, FSE, ISSRE, HASE, SSBSE, EASE, MSR, RAISE, etc, etc
  • Papers:: 250+ refereed research papers; h-index = 41
  • Books:

  

Wei Fu

Wei Fu is a fifth year Ph.D candidate in Computer Science at North Carolina State University. He is working with Dr. Tim Menzies in Transfer Learning in Software Engineering field. His interests include empirical software engineering, search-based software engineering and mining software repository. Before joining NCSU, he obtained his master degree in wireless communication area from Beijing University of Posts & Telecomms. For more information, please visit his website and checkout the printable CV.

Rahul Krishna

Rahul Krishna is a PhD Research Scholar at North Carolina State university, majoring in Computer Science. He is interested in interrogating ways in which artificial intelligence and machine learning can be used to tackle real-world engineering problems. He is currently working with Dr. Menzies on the Transfer Learning project.

For more information, consider visiting his website. His Resume is available for download here.

Vivek Nair

Vivek Nair is a fifth year Ph.D. student in department of Computer Science at North Carolina State University. His primary interest lie in the exploring possibilities of using multi-objective optimization to solve problems in Software Engineering. He is currently working on performance prediction models of highly configurable systems. He received his master degree and worked in the mobile industry for a period of 2 years before returning to graduate school. For more information, visit his website.

George Mathew

George Mathew is a second year PhD student in CS at North Carolina State University. He is a full stack software engineer. His prime areas of interests are machine learning and software development. In his free time he works on his pet project and maintaining a repository of optimization algorithms. To know more about George, visit his website.

Jianfeng Chen

Jianfeng Chen is the fourth year PhD student in Computer Science department at North Carolina State University. His interests include sampling techniques at search-based SE, fast SE model checking, cross-company SE data privacy preserving algorithms, etc. Before joining to NCSU, he earned a B.S. degree at Shandong University, China in the major of Software Engineering. For more information, please visit his website and resume.

Zhe Yu

Zhe Yu is a third year Ph.D student in the Department of Computer Science at North Carolina State University. He is now focusing on applying machine learning and data mining algorithms to assist systematic literature review (SLR). The ultimate goal of this project is to reduce the cost of conducting an SLR study to even days of work and thus SLR studies can be conducted much more frequently and easily. To know more about this project, please visit here.

Zhe Yu is supervised by Dr. Timothy Menzies. To know more about him, please visit his website and his resume can be downloaded from here.

Amritanshu Agrawal

Amritanshu Agrawal is a third year Ph.D student in Computer Science at North Carolina State University. His interests include Topic Modelling, Text Mining and Machine learning. He is working with Dr. Timothy Menzies. To know more about him, please visit his website and his resume can be downloaded from here.

Di (Jack) Chen

Di (Jack) Chen is a third year Ph.D student, majored in CS at North Carolina State University. He is focused on using Crowdsourcing and Machine Learning techniques to solve real-world problems. Right now, he is leverating the power of Crowdsourcing to study the contribution process of open source projects. Besides, he is also working closely with LexisNexis on a machine learning project to extract email signature from multiple languages. To know more about him, please visit his website.

Tianpei (Patrick) Xia

Tianpei (Patrick) Xia is a second year Ph.D. student in Computer Science department at North Carolina State University. Currently he is working with Dr. Tim Menzies on SHASA project (Scalable Holistic Autotuning for Software Analytics). His research interests include using data mining and artificial intelligence methods to solve problems in software engineering. Before joining NC State, he obtained his master degree in data science area from the University of Texas at Dallas.

Huy Tu

Ken (Huy) Tu is a second year Ph.D. student in the department of Computer Science at North Carolina State University. With the bachelor degree and background in Mathematics, he is passionate in the intersection of math and AI that support and leverage the human experience. He interested in applying his knowledge of mathematics to do research in machine learning and artificial intelligence in order to solve relatable problems.

Junjie Wang

Junjie Wang is a visiting scholar in Department of Computer Science at NC State University since Sep 2017. She is an assistant researcher in Institute of Software Chinese Academy of Sciences. Her research interests include software repositories mining, empirical studies, machine learning in SE, and crowdsourced testing. she is now working at the crowdsourced testing project collaborated with Baidu Crowd Test platform. The main focus is about how to mine useful information from the large amounts of reports, how to prioritize and select the right crowd resources to conduct the test so as to improve test quality. To know more about her, visit her website.