Overview

Kaikai Liu is an Assistant Professor and Cisco Cooperate Chair Professor in the Department of Computer Engineering. His research interests include Mobile and Cyber-Physical Systems (CPS), Internet-of-Things (IoT), Smart Sensing, Intelligent and Autonomous Systems, Software-Defined Computing and Networking. He has published over 34 peer-reviewed papersin journals and conference proceedings, 1 book, and holds 4 patents(licensed by three companies). He is the lead Principle Investigator(PI) for one National Science Foundation (NSF) project. He was a member in the NSF Big Learning Center (previously Scalable Software Systems Laboratory). He received a Ph.D degree in Computer Engineering from University of Florida (UF) under the direction of Dr. Xiaolin (Andy) Li. He is a recipient of the Outstanding Achievement Award at UF (four times), the Apple WWDC Scholarship (2013 and 2014), the Innovator Award from the Office of Technology Licensing at UF (2014), the Top Team Award at NSF I-Corps Winter Cohort (Bay area, 2015),  the 2015 Gator Engineering Attribute Award for Creativity at UF, IEEE SWC 2017 Best Paper Award, IEEE SECON 2016 Best Paper Award, ACM SenSys 2016 Best Demo – Runner up, 2016 CoE Kordestani Endowed Research Professor, 2017 and 2018 CoE Research Professor Award. He served as the TPC member and technical reviewers for many IEEE/ACM conferences and journals.

Research Interests

  • Intelligent Systems: Cyber Physical Systems, Mobile System, Smart and Autonomous Systems, Edge Computing
  • Internet-of-Things: IoT Network, IoT Gateway, Smart City, Emergency Communication, Sensor Network
  • Cloud and Big Data: Cloud/Fog Computing, Big Data Analytics, Software-Defined Ecosystem

Appointment

San Jose State University (SJSU)

Assistant Professor

2015.8 – Now

Education

Nanjing University of Science & Technology (NUST)

Electrical & Information Engineering

B.S.,   2004-2008

University of Science and Technology of China (USTC)

Electrical Engineering

B.S.,   2008-2011

University of Florida (UF)

Electrical & Computer Engineering

M.S.,  2011-2013

University of Florida (UF)

Electrical & Computer Engineering

Ph.D., 2011-2015

Current Projects

  1. Creating a Community Infrastructure for Interoperable Emergency Connectivity (Funded by NSF $200,000 [link])
    1. This research proposes to develop a community infrastructure for interoperable emergency connectivity that can operate in austere conditions, provide its own power, and create linkages throughout the community and across jurisdictional boundaries. 
    2. Collaborate with the Office of Emergency Services (OES) from the City of San Jose
  2. Multi-Tenant Network Acceleration Scheme for OpenStack (Funded by Arista Network $40,000)
    1. In order to boost the performance of computing and networking services for data-intensive applications, as well as reduce the overhead of the software virtualization, we propose a new data center network design based on OpenStack. 
    2. We map the OpenStack networking services to the hardware switch, and perform hardware-accelerated L2 switch and L3 routing to reduce the software overhead, as well as achieve the software-like scalability and flexibility.
  3. Federated Location Infrastructure as a Developer Platform
    1. The overarching goal of this project is to develop an intellectual framework and a federated location infrastructure testbed to promote and guide the developers to realize the full-fledged smart applications from the campus life, to address societal challenges in local communities.
  4. Autonomous Assistance System for People with Special Needs (Funded by CoE $30,000 and $40,000)
    1. The objective of this project is to develop an intelligent assistance system that assists people with independent transportation challenges towards their independent and dignified lifestyle (for example, shopping in the stores without assistance). 
    2. The proposed research will resolve the major challenges in urban indoor environments and address fundamental problems that involve spatial awareness, automated obstacle avoidance process, navigation, and intelligence, with an emphasis on the mapping and recognizing of the “physical” components in a fine-grained map.
  5. Software-Defined Edge Cloud for Smart City (Funded by CoE $40,000)
    1. To solve current deficiencies in the ability of allowing developers to control and automate the remote edge devices, we extend existing cloud orchestration frameworks to edge devices that are agnostic to the network media.

Previous Projects

Please visit [link] for details

Cloud and SDN

  1. GatorCloud: SDN-enabled Campus Cloud (Funded by over $2M from NSF)
  2. NSF GemsCloud: A GENI-Federated Cyber-Physical System with Multi-Modalities

Mobile Systems

  1. Guoguo: Enabling Smartphone-based Fine-grained Indoor Localization, Project Leader. [link]
  2. NSF I-Corps: Commercialization Feasibility Research and Implementation for Smartphone Localization via Indoor Positioning Satellites and Opportunistic Sensing, Entrepreneurial Leader.
    1. Granted project, [link]
    2. Representative (No.1) team award for the NSF I-Corps Winter cohort
  3. InAR: Smartphone on Steroids with Indoor Augmented Reality, Project Leader. [link]

Health and Emergency Care 

  1. VitalCloud: Weaving a Pervasive Life Network for Healthcare [link]

Publications

  1. Kaikai Liu, “Software-Defined Edge Cloud Framework for Resilient Multitenant Applications,” Wireless Communications and Mobile Computing, vol. 2019, Article ID 3947286, 17 pages, 2019. https://doi.org/10.1155/2019/3947286. 
  2. Deepa Rajendra Sangolli, Nagthej Manangi Ravindrarao, Priyanka Chidambar Patil, Thrishna Palissery and Kaikai Liu, “Enabling High Availability Edge Computing Platform.” IEEE Mobile Cloud 2019
  3. Liu, K., and Xiaolin Li. “Enhancing Localization Scalability and Accuracy via Opportunistic Sensing.” IEEE/ACM Transactions on Networking (2018) [link].
  4. Liu, K., Rajathswaroop Mulky, “Enabling Autonomous Navigation for Affordable Scooters”, Sensors 2018, Vol. 18, Number. 6, ISSN=1424-8220 [link
  5. Linh Phan and Kaikai Liu, “OpenStack Network Acceleration Scheme for Datacenter Intelligent Applications” IEEE CLOUD 2018.
  6. Unnikrishnan Kizhakkemadam Sreekumar, Revathy Devaraj, Qi Li and Kaikai Liu, “Real-time Traffic Pattern Collection and Analysis Model for Intelligent Traffic Intersection” IEEE EDGE 2018.
  7. Arvind Allawadi and Kaikai Liu, “Touch-based Magnetic Communication through Your Hand” IEEE ICIOT 2018.
  8. Tyler Jones, Aniket Dali, Manoj Ramesh Rao, Neha Biradar, Jean Madassery and Kaikai Liu, “Towards A Layered and Secure Internet-of-Things Testbed via Hybrid Mesh” IEEE ICIOT 2018.
  9. Harshitha Bura, Nathan Lin, Naveen Kumar, Sangram Malekar, Sushma Nagaraj and Kaikai Liu, “An Edge Based Smart Parking Solution Using Camera Networks and Deep Learning” IEEE ICCC 2018.
  10. Rajath Mulky, Supradeep Koganti, Sneha Shahi and Kaikai Liu, “Autonomous Scooter Navigation for People with Mobility Challenges” IEEE ICCC 2018.
  11. Milind Naphade, David C Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Zeyu Gao, “The NVIDIA AI city challenge” IEEE Smart-World, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (Smart-World/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) 2017.
  12. Liu, K., et al, (2017) “Edge Computing Framework for Distributed Smart Applications,” The IEEE Smart World Congress 2017 (IEEE SWC 2017). (Best Paper Award)
  13. Liu, K., Navjot Warade and K. Gupta. (2017) “Location-aware smart campus security application,” The IEEE Smart City Innovations 2017 (IEEE SCI 2017). 
  14. Liu, K., Linh Phan. (2017) “Multi-Tenant Network Acceleration Scheme for OpenStack,” The IEEE Smart City Innovations 2017 (IEEE SCI 2017).
  15. Gaurao Chaudhari, Asmita Deshpande, and Liu, K. (2017) “Smart Robotic Assistant for Visually Impaired,” The IEEE Smart City Innovations 2017 (IEEE SCI 2017).
  16. Kurup, P., and Liu, K., (2016) “Demo: Telepresence Robot with Autonomous Navigation and Virtual Reality” The 14th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2016), Stanford, CA. (Best Demo – Runner Up). [link]
  17. Miao, L., and Liu, K., (2016) “Poster: Towards a Heterogeneous Internet-of-Things Testbed via Mesh inside a Mesh” The 14th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2016), Stanford, CA. [link]
  18. Liu, K., and Li, X. (2016) “Enhancing Smartphone Indoor Localization via Opportunistic Sensing” IEEE International Conference on Sensing, Communication and Networking (SECON 2016), London, UK. (Best Paper Award, Acceptance: 56/213 = 26%) [link]
  19. Liu, K., Gao, J., et al, (2016) “Software-Defined Edge Cloud for Smart City.” NSF Future Wireless Cities Workshop, Washington DC. (accepted, whitepaper)
  20. Liu, K., Li, M. and Li, X. (2015) “Hiding Media Data via Shaders: Enabling Private Sharing in the Clouds” The 8th IEEE International Conference on Cloud Computing (CLOUD 2015). (Accepted, acceptance: 15%). [pdf]
  21. Liu, K.; Guo, J.; Orlik, P.V.; Parsons, K.; Sawa, K., (2015) “Battery Energy Management in Heterogeneous Wireless Machine-to-Machine Networks”, IEEE Vehicular Technology Conference (VTC), September 2015. [link][pdf]
  22. Liu, K., and Li, X. (2015) “Enabling Context-Aware Indoor Augmented Reality via Smartphone Sensing and Vision Tracking.” ACM Transactions on Multimedia Computing, Communications and Applications (TOMM). [pdf]
  23. Liu, K., Liu, X., and Li, X. (2015) “Guoguo: Enabling Fine-grained Smartphone Localization via Acoustic Anchors.” IEEE Trans on Mobile Computing (TMC). [pdf]
  24. Liu, K., and Li, X. (2014) “FindingNemo: Finding Your Lost Child in Crowds via Mobile Crowd Sensing.” The 11th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2014), Philadelphia, Pennsylvania. (Acceptance: 48/181 = 26.5%) [pdf]
  25. Liu, K., Huang, Q., et al, (2013) “Improving GPS Service via Social Collaboration.” The 10th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2013), Hangzhou, China. (Acceptance: 55/186 = 29.6%) [pdf]
  26. Liu, K., Liu, X.,  and Li, X. (2013) “Guoguo: Enabling Fine-grained Indoor Localization via Smartphone.” The 11th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2013), Taipei, Taiwan. (Acceptance: 33/210 = 15.7%) [pdf]
  27. Liu, K., and Li, X. (2013) “Guoguo: Smartphone-based High-precision Indoor Location Ecosystem and Services.” MobiSys 2013 Ph.D Forum, Taipei, Taiwan.
  28. Liu, X.,  Liu, K., Guo, L., Li, X., and Fang., Y, A Game-Theoretic Approach for Achieving k-Anonymity in Location Based Services, The 32nd IEEE International Conference on Computer Communications (INFOCOM 2013). (Acceptance: 280/1613 = 17.4%) [pdf]
  29. Liu, K., Li, X., et al, (2013) “Towards Accurate Acoustic Localization on a Smartphone.” The 32st IEEE International Conference on Computer Communications (INFOCOM 2013), Turin, Italy. (Acceptance: 21%) [pdf]
  30. Liu, K., Liu, X.,  and Li, X. (2012) “Acoustic Ranging and Communication via Microphone Channel.” IEEE GLOBECOM 2012, Anaheim California, USA. (Acceptance: 966/2560 = 37.7%) [pdf]
  31. Liu, K., Yin, H., and Chen, W. (2011) “Low Complexity Tri-level Sampling Receiver Design for UWB Time-of-Arrival Estimation.” in Proc. Int. Conf. Communication(ICC2011), Kyoto, Japan. (Acceptance: 1093/2838 = 38.5%) [pdf]
  32. Liu, K., Xu, H., et al, (2010) “Odd-Symmetry Template Based Three-Step Detector for IR-UWB Detection.” in Proc. Int. Conf. Ultra-Wideband(ICUWB2010), Nanjing, China, Sep. 2010, vol. 2, pp. 615-618. (Acceptance: 38.6%) [pdf]
  33. Liu, K., Xu, H., Chen, W., “Finite-Resolution Receiver Performance for IR-UWB Target Detection.” in Proc. Int. Conf. Signal Processing and Communication Systems(ICSPCS2010), Gold Coast, Australia, Dec. 2010. [pdf]
  34. Liu, K., Ren, J, et al, (2010) “A Practical UWB TOA Estimator in the Presence of Interference and NLOS.” in Proc. Int. Conf. Signal Processing(ICSP2010), Beijing, China, Oct. 2010. [pdf]
  35. Xu, H., Liu, K., Ma Yunfei, Wang Dongjin, Chen Weidong, “An Improved IPCP Detector of UWB Radar Signals Based on Adaptive Searching Window,” in Proc. Int. Conf. Ultra-Wideband(ICUWB2010), Nanjing, China, Sep. 2010. [pdf]
  36. Xu, H., Liu, K., Wang Dongjing, Chen Weidong, “The Effect of Timing Jitter to the Radar Detection Performance,” in Journal of Science and Technology of China (ISSN 0253-2778), 2011. (In Chinese)
  37. Hao, J., Liu, K., Jingjing Ren, Guanghua Lu, Weidong Chen, “IR-UWB radar signal sampling and reconstruction based on step-delay pulses,” Electrical and Control Engineering (ICECE), Sept. 2011. [pdf]

Patent

  1. Li, X., Liu, K., “Apparatus, method, and software systems for smartphone-based fine-grained indoor localization,” (WO 2014089040 A1) (US20150156637) (Licensed by four companies). [Google Patent] [WIPO] [News]
  2. Li, X., Liu, K., “Dynamic User-Defined Check-In Points,” (WO2016036853A1) (US 20170201858 A1). [Google Patent]
  3. Guo, J., Liu, K., et al, “Energy Efficient Management of Heterogeneous Multi-Hop Wireless Network,” (US 9736771 B2) (US 20160212698 A1) (WO 2016116989 A1). [Google Patent]
  4. Liu, K., et al,“Receiving apparatus for ultra wideband impulse signal and ultra wideband impulse radar system,”(CN 102360070 B). [Google Patent] [Chinese]

Book

  1. Liu, K., & Li, X. (2017). Mobile SmartLife Via Sensing, Localization, and Cloud Ecosystems. CRC Press. [CRC Press] [Amazon]

Awards and Grants

  1. Cisco Endowed Chair Professor in Internet-of-Things.
  2. Best Paper Award, IEEE SWC 2017.
  3. CoE Research Professor Award 2018 (San Jose State University).
  4. CoE Research Professor Award 2017 (San Jose State University).
  5. Best Demo Runner Up, ACM SenSys 2016.
  6. Best Paper Award, IEEE SECON 2016.
  7. Kordestani Endowed Chair (Research) Professor 2016 (San Jose State University).
  8. Gator Engineering Attribute Award – “Creativity” Attribute from the College of Engineering at UF (only one from the whole college).
  9. The representative (No.1) team award for the 2015 NSF I-Corps cohort (Bay Area, Winter).
  10. 2014 Innovator Award from the Office of Technology Licensing (OTL) at the University of Florida.
  11. Apple WWDC Student Scholarship, 2013 and 2014.
  12. Travel Grant from the ACM MobiSys 2013, Taipei, Taiwan.
  13. Travel Grant from the IEEE MASS 2013 and 2014.
  14. Certificate of Outstanding Achievement, University of Florida International Center, 2015, 2014, 2013, 2012.
  15. The 14, 15, 16th GENI Engineering Conference Travel Grant
  16. National Scholarship of China.
  17. “Guorui” Scholarship in EEIS of USTC.
  18. Excellent Graduate Student of NUST.
  19. Outstanding Student Scholarship (NUST) — three times.
  20. “Spansion” Scholarship.

Synergistic Activities

  1. TPC Member for the 24th and 25th ICCCN, SEKE 2017, IEEE SCI 2017, IEEE SWC 2017, BDASC 2017, MILCOM 2017, EUC 2016.
  2. Demo and Poster chair of IEEE SCI 2017.
  3. System Benchmark Chair and Evaluation Committee Member, NVIDIA AI City Challenge 2017.
  4. Guest Editor of International Journal of Distributed Sensor Networks, Applied Computational Intelligence and Soft Computing Journal
  5. Session Chair of IEEE ICIOT 2018, IEEE CLOUD 2018.
  6. Reviewer for ACM Computing Surveys 2017, IEEE TMC 2017, 2016, 2015, 2014, ToN, TPDS 2015, 2013, TWireless, JSAC 2014, IoT 2017, 2014, ACM TOMM 2015, ToN 2016.
  7. Reviewer for MILCOM 2017, SCI 2017, SWC 2017, SEKE 2017, 2016, INFOCOM 2016, 2015, 2014, 2013, UbiComp 2013, GLOBECOME 2013, PECON 2012, MASS 2012