Jinlai Xu
PhD Student, School of Information Sciences
Graduate Student Assistant, The Laboratory for Education and Research on Security Assured Information Systems (LERSAIS)
University of Pittsburgh (PITT)
Email: xujinlai [at] gmail.com
Full Curriculum Vitae
RESEARCH INTERESTS:
Cloud Computing, Machine Learning, Computer Vision, Robotics.
EDUCATION
September 2015 - present: PhD (expected), Information Science University of Pittsburgh Advisor: Balaji Palanisamy
September 2012 - July 2015: Master of Software Engineering China University of Geosciences (211) Advisor: Zhongwen Luo
GPA – 89.9/100, Major GPA – 91.9/100
September 2008 - July 2012: Bachelor of Engineering in Software Engineering ,China University of Geosciences (211) Advisor: Zhongwen Luo
GPA – 88.6/100, Major GPA – 92.9/100, ranked 1st/96.
RESEARCH EXPERIENCE
September 2012 - Present: Graduate Student Assistant,The Laboratory for Education and Research on Security Assured Information Systems (LERSAIS), University of Pittsburgh
September 2012 - June 2015: Research Assistant,Robotics and Artificial Intelligence Laboratory, China University of Geosciences
July 2009 - July 2012: Undergraduate Research Assistant,Robotics and Artificial Intelligence Laboratory, China University of Geosciences
PUBLICATION
- Jinlai Xu, Balaji Palanisamy (2017). [Optimized Contract-based Model for Resource Allocation in Federated Geo-distributed Clouds], IEEE Transactions on Services Computing(under review).
- Jinlai Xu, Balaji Palanisamy, Heiko Ludwig, Qingyang Wang (2017). Zenith: Utility-aware Resource Allocation for Edge Computing, IEEE Edge 2017.
- Jinlai Xu, Balaji Palanisamy (2017). Cost-aware Resource Management for Federated Clouds Using Resource Sharing Contracts, IEEE Cloud 2017.
- Hong Yao, Jinlai Xu, Zhongwen Luo, Deze Zeng (2015). MEMoMR: Accelerate MapReduce via reuse of intermediate results. Concurrency and Computation: Practice and Experience.
PROFESSIONAL SERVICES
- Journal Review
- One paper to Information Systems Frontiers (ISFI) : IRI - Special Issue on Foundations of Reuse
- Conference Review
- Three papers to International Workshop on Internet-scale Clouds and Big Data (ISCBD 2016)
- Two papers to IEEE International Conference on Communications (ICC 2015)
- Journal External Review
- One paper to Transactions on Services Computing (TSC)
- Conference External Review
- ACM International Conference on Information and Knowledge Management (CIKM 2016)
- Conference Volunteer
- The International Conference on Distributed Computing Systems (ICDCS 2017), Atlanta, GA, USA. June 5 - 8, 2017
- IEEE International Conference on Information Reuse and Integration (IRI 2016), Pittsburgh, PA, USA. Jul 28 - 30, 2016
- IEEE International Conference on Collaboration and Internet Computing (CIC 2016), Pittsburgh, PA, USA. Nov 1 - 3, 2016
- Conference Webmaster
WORK EXPERIENCE
- Graduate Student Assistant , September 2015 - Present
- University of Pittsburgh
- Cloud Computing (2017 Spring)
- Instructor: Prof. Balaji Palanisamy
- Teaching Assistant , September 2013 - January 2014
- China University of Geosciences
- Advanced Programming Language (JAVA)
- Instructor: Prof. Shengwen Li
HONORS & AWARDS
- Outstanding Student Award, China University of Geosciences, China 2013–2014
- Graduate Student First-class Scholarship(per year), China University of Geosciences, China 2012–2014
- CUG First-class Scholarship (per semester), China University of Geosciences, China 2008–2011
- Fellows Scholarship, China University of Geosciences, China 2010–2011
- National Scholarship, Ministry of Education, China 2009-2010
- The Second Place of AndroSot(Full-autonomous 3vs3 Humanoid Robot Soccer), The Robot Soccer Tournament of China and The Tryouts for FIRA in Changchun 2009
- The First Prize of AndroSot(Semi-autonomous 3vs3 Humanoid Robot Soccer), The Robot Soccer Tournament of China and The Tryouts for FIRA in Changchun 2009
SKILLS
- Languages:
- Chinese - Native proficiency
- English - Professional working proficiency
- Computer:
- Basic: JAVA, C++
- Intermediate: Python, LaTeX, Linux ,Emacs, GitHub, Hadoop
- Advanced: Cloud Computing Infrastructure, Virtualization, Computer Vision