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Lijun Qian, Ph.D.

Regents Professor and AT&T Endowed Professor

Director, Center of Excellence in Research and Education for Big Military Data Intelligence (CREDIT)

Department of Electrical & Computer Engineering
Roy G. Perry College of Engineering
Prairie View A&M University, Texas A&M University System
Prairie View, TX 77446

Office: NENR Building Room 332
Phone: (936)261-9908
Fax: (936)261-9930
Email: Lijun Qian

Research Assistantship available for PhD students!


Vita

  • • Ph.D. WINLAB, Rutgers University, 2001
  • • M.S. Technion-Israel Institute of Technology, 1996
  • • B.S. Tsinghua University, Beijing, 1993


Bio

Lijun Qian is Regents Professor and holds the AT&T Endowment in the Department of Electrical and Computer Engineering at Prairie View A&M University (PVAMU). He is also the Director of the DOD Center of Excellence in Research and Education for Big Military Data Intelligence (CREDIT Center). He received BS from Tsinghua University, MS from Technion-Israel Institute of Technology, and PhD from Rutgers University. Before joining PVAMU, he was a member of technical staff in the Networks and Systems Research Department of Bell-Labs at Murray Hill, New Jersey. He is a visiting professor of Aalto University, Finland. He has published more than 160 papers in journals and peer-reviewed conferences. He also holds 3 US patents. He has served on the organizing committee of many national and international conferences and workshops, as well as on the proposal review panels of several government funding agencies. He serves as editor, associate editor, and guest editor for several high impact journals. He has supervised 10 PhD students and 14 MS students, and he led the team of students from the CREDIT Center to win the IEEE CyberC Big Data Competition organized by the IEEE Big Data Initiative in October 2016. He received the Central Bell-Labs Teamwork Award in 2003, Outstanding Teacher of the Year Award in 2008, Outstanding Research Award three times in 2012, 2015, and 2018 at PVAMU, and the National Science Foundation Research Initiation Award. His research interests are in the area of big data processing, artificial intelligence, wireless communications and mobile networks, network security and intrusion detection, and computational and systems biology.




Research

Big data analytics

  • • Interaction between big data collection networks and processing
  • • Critical event detection
  • • Big data learning when uncertainty presents
  • • Big data visualization
  •    Learn more here...


Cognitive radio networks

  • • Secure anonymous routing
  • • Statistical anomaly detection
  • • IDS design


Security enhancement and intrusion detection in wireless ad hoc networks

  • • Interoperable Radio On the Move (iROM)
  • • Optimal resource management
  • • Joint power control, scheduling and routing


Distributed Wireless Embedded Systems

  • • Indoor situation awareness
  • • Energy efficient sensing
  • • Wireless sensor network testbed using XBOW Motes


Bioinformatics

  • • Microarray data analysis
  • • Gene regulatory networks


Current Funded Research Projects

1. Title: Center of Excellence in Research and Education for Big Military Data Intelligence (CREDIT)

(Lijun Qian, PI, Center Director)

Funding Agency: U.S. DOD, FA8750-15-2-0119, 2015 - 2020.


2. Title: Bridging Quantitative Science with Biological Research: Jumpstarting Computational Systems Biology Research at PVAMU

(Lijun Qian, PI)

Funding Agency: U.S. National Science Foundation (NSF), NSF-1736196, 2017 - 2020.


 

Completed external grants

1. Title: Interoperable Communications for Hierarchical Heterogeneous Wireless Networks

(Lijun Qian, PI)

Funding Agency: U.S. Army Research Office (ARO), W911NF-12-1-0054, 2012 - 2016.


2. Title: Modeling and Control Genetic Regulations in Biological Networks using Advanced Signal Processing and Control Theory

(Lijun Qian, PI)

Funding Agency: National Science Foundation (NSF), NSF-1238918, 2012 - 2016.


3.Title: Smart Grid Simulator Development for Multidisciplinary Teaching and Research

(Lijun Qian, Co-PI)

Funding Agency: National Science Foundation (NSF), NSF-1238859, 2012 - 2015.


4. Title: A Software-Defined Radio Based Testbed for Next Generation Wireless Networks Research

(Lijun Qian, PI)

Funding Agency: National Science Foundation (NSF), NSF-1040207, 2010 - 2015.


5.Title: ARO Center of Excellence in Battlefield LOS/BLOS Lethality Research

(Lijun Qian, Co-PI)

Funding Agency: U.S. Army Research Office (ARO), W911NF-10-1-0087, 2010 - 2012.


6. Title: ARO Center of Excellence in Digital Battlefield Communications Research

(Lijun Qian, Co-PI)

Funding Agency: U.S. Army Research Office (ARO), W911NF-04-2-0054, 2004 - 2009.


7. Title: Modeling and Testing of Advanced Mixed Signal Systems

(Lijun Qian, Co-PI)

Funding Agency: National Science Foundation (NSF), NSF-0531507, 2005 - 2009.


 



Teaching

  • • ELEG 6183: Deep Learning (Spring 2019)
  • • ELEG 6163: Statistical Learning for Big Data (Fall 2018)
  • • ELEG 6913: Special Topics: Hybrid System -- Theory & Application (Spring 2014)
  • • ELEG 6913: Special Topics: Cyber Security of Smart Grid (Spring 2013)
  • • ELEG 6213: Digital Communication (Spring 2012, Spring 2011)
  • • ELEG 6203: Wireless Networks (Fall2013, Fall2012, Fall 2011, Spring 2009)
  • • ELEG 6313: Stochastic Process (Fall2014, Fall 2011, Fall 2010)
  • • ELEG 6253: Telecommunication Network Security (Fall2012, Fall 2011, Fall 2010)
  • • ELEG 6021: Graduate Seminar II (Spring 2012, Spring 2011)
  • • ELEG 6913: Special Topics: Cognitive Radio (Fall 2010)
  • • ELEG 6233: Coding Theory (Spring 2005 )

Invited Talks

  1. 1. “Big Data and Machine Learning Research and Education at PVAMU”, Tuskegee University, March 26-27, 2018.

  2. 2. “Vertical Integration of Information for Battlespace Awareness and Prediction”, Dept. of Navy’s Workshop, Tallahassee, FL, Sep 21-22, 2017.

  3. 3. “Overview of Mission-Critical Big Data Analytics”, AFCEA C4ISR & Cyber Conference, Utica, NY, June 14, 2016.

  4. 4.“Data Driven Collaboration/Coexistence of WiFi and LTE in unlicensed band: An Indoor Cognitive Radio Test Bed”, IEEE Workshop on In-Building Wireless Solutions, New Brunswick, New Jersey, Nov. 14, 2016.

  5. 5. “Cognitive Radio Sensor Networks for Wireless Automation”, WiFiUS NSF meeting, KTH, Stockholm, Sweden, June 20th 2012.

  6. 6. “Wireless Communications and Networking Research at WiComLab”, WiFiUS NSF meeting, KTH, Stockholm, Sweden, June 20th 2012.

  7. 7. “Achieving Robust End-to-End QoS in MANET: An Optimized Multi-layer Design”, Texas Southern University, March 28th, 2012.

  8. 8. “Organization-aware routing in mission-critical wireless networks”, Applied Physics Lab, Johns Hopkins University, Baltimore, MD, Aug 3rd 2011.

  9. 9. “Optimized routing in organization-aware wireless networks”, US Air Force Research Lab (AFRL) and Wright State University, June 3rd, 2011, Dayton, OH.

  10. 10. “Cognitive Radio Networks and Technologies”, short course given at Helsinki University of Technology (now Aalto University), Espoo, Finland, summer 2010.

  11. 11. “Dynamic and Quantitative Drug Effects Modeling”, UT MD Anderson Cancer Center, 2010.

  12. 12. “Battlefield Communications Research”, Southwest Research Institute, San Antonio, TX, Sep 30, 2009.

  13. 13. “How to Succeed in Graduate Study”, Prairie View A&M University, July 30, 2009.

  14. 14. “Secure and Intelligent Cognitive Radio Networks”, Memorial University, St. John’s, NL, Canada, June 26, 2009.

  15. 15. “New Frontiers in Wireless Networking”, HuaZhong University of Science and Technology (HUST), WuHan, China, May, 2009.

  16. 16. “Dynamic Spectrum Access in Cognitive Radio Networks”, Tsinghua University, Beijing, China, May, 2009.

  17. 17. “Cross-Layer Design in MANET”, NanKai University, Tianjin, China, May, 2009.

  18. 18. “Inference of Gene Regulatory Networks Using Systems and Control Theory”, University of Houston, March 27, 2009.

  19. 19. “Inference and Intervention of Gene Regulatory Networks Using Systems and Control Theory”, Rutgers University, March 18, 2009.

  20. 20. “Intelligent and Secure Cognitive Radio Networks”, Army Research Office, Research Triangle Park, Raleigh/Durham, NC, Apr 7, 2009.

  21. 21. “Inference of Noisy Nonlinear ODE Models for Gene Regulatory Networks using Genetic Programming and Kalman Filtering”, Colloquium: Modeling and Analysis of Biological Networks, Center for Mathematical Biosciences, University of Houston, May 2008.

  22. 22. Spatial Spectrum Sharing of Cognitive Radio Networks: A Power Control Perspective”, at LSI Corporation, Allentown, PA, May 2008.

  23. 23. “Achieving Robustness and Efficiency in Mission Critical Networks”, Army Research Office, research triangle park, Durham, NC. Mar 2008.

  24. 24. “Energy and Bandwidth Efficient Mixed Signal Embedded Networks”, IAB meeting, Jan 2008.

  25. 25. “Detecting and Locating Wormhole Attacks in Wireless Ad Hoc Networks: A Statistical Analysis Approach”, DIMACS/DyDan workshop on information security, Texas Southern University, Dec 2007.

  26. 26. “Power Control in Cognitive Radio Wireless Ad Hoc Networks”, LSI Inc., Allentown, PA, Jun. 2007.

  27. 27. “Achieving Robust end-to-end QoS in MANET: An Integrated Multi-layer Design”, Texas A&M University, College Station, TX, Apr 2007.

  28. 28. Achieving Robust end-to-end QoS in MANET: An Integrated Multi-layer Design”, Army Research Office, research triangle park, Durham, NC. Mar 2007.

  29. 29. “Performance evaluation and optimization of embedded mixed signal networks”,    IAB meeting, Sep 2006.

  30. 30. “Energy Efficient Scheduling in 3G Wireless Networks”, Agere Systems Inc., Allentown, PA, Mar 2006.

  31. 31. “Joint Power Control and Maximally Disjoint Routing for Reliable Data Delivery in Multihop CDMA Wireless Ad Hoc Networks”, ARO Technical Review, Raleigh, NC, 2006.

  32. 32. “Joint Power Control and Maximally Disjoint Routing for Multi-hop CDMA Wireless Ad Hoc Networks", Electrical Engineering Seminar Series, PVAMU, Feb 2006.

  33. 33. “MPLS Traffic Engineering”, Advanced Technologies, Bell-Labs, June 2001.

  34. 34. “Optimal Resource Management in 3G Wireless Systems”, Annual IAB Meeting - WINLAB Research Review, Oct. 2000.

  35. 35. “Measurement Protocol for One-way Performance Metrics”, IETF 48, Pittsburgh, Aug.  2000.

  36. 36. “Optimal Distributed Fast Power Control in 3-G Wireless Systems”, NEC C&C Research Lab, Princeton, NJ, Mar. 2000; Bell-Labs, Murray Hill, NJ, Apr. 2000.

Awards

  1. 1. Texas A&M University System Regents Professor Award, 2018.

    2. Outstanding Research Award, Roy G. Perry College of Engineering, Prairie View A&M University, 2018.

    3. Best Paper Award, The IEEE GLOBECOM 2017.

    4. Supervisor and Lead of the Winning Team in the IEEE CyberC Big Data Competition, organized by the IEEE Big Data Initiative, Oct 2016.

    5. Best Paper Finalist, IEEE International Conference on Mechatronics and Automation, Aug 7-10, 2016.

    6. Outstanding Research Award, Roy G. Perry College of Engineering, Prairie View A&M University, 2015.

    7. Best Poster Award, The 4th Annual Science, Technology, Engineering, Agriculture and Mathematics (STEAM) Research Symposium, March 21, 2014.

    8. NSF Research Initiation Award, National Science Foundation (NSF), 2012.

    9. Outstanding Research Award, Roy G. Perry College of Engineering, Prairie View A&M University, 2012.

    10. DoD HBCU/MI Research and Educational Program Award, US Army Research Office, 2011.

    11. 2008 Outstanding Teacher of the Year Award, Roy G. Perry College of Engineering, Prairie View A&M University, 2008.

    12. Nominee of the President’s Outstanding Teacher of the Year Award, PVAMU, 2008.

    13. Central Bell-Labs Teamwork Award, June 2003.

Facilities

Center and Lab Creation


a). Center of Excellence in Research and Education for Big Military Data Intelligence    Visit CREDIT website

  • Role: PI and Director
  • Personnel: six Faculty Researchers (Fuller, Li, Obiomon, Huang, Yang, Chapman), three Postdocs (Dong, Wu, Yang), one Administrative Assistant (Wedeking), and more than twenty Research Assistants
  • CREDIT Center’s Mission: Accelerate research and education in predictive analytics for science and engineering to transform our ability to effectively address and solve many complex problems posed by big data; train next generation data scientists and engineers.
  • CREDIT Center’s Team: A multidisciplinary team of faculty researchers from Electrical and Computer Engineering, Computer Science, Agriculture, and Social Sciences with research staffs, postdocs, graduate and undergraduate students form the core of the CREDIT Center.
  • CREDIT Center’s Research Focus: The CREDIT Center targets challenges in big data analytics, especially for mission-critical applications. Examples include designing cloud based high-performance big data analytics platform; investigating novel deep learning methods for high-dimensional data; studying streaming data analytics for near-real-time decision making; developing software packages such as visualization tools for big data driven situation awareness.
  • CREDIT Center’s Facilities: The CREDIT Center located in the Electrical Engineering Building and Computer Science Building contains the following research labs: Deep Learning Lab, Cloud Computing Lab, and Wireless Communications Lab.

b). A newly established Deep Learning Lab since 2017    Visit CREDIT website

  • Role: Founding Director
  • 4 NVIDIA DGX-1 systems:: Each DGX-1 is equivalent of 250 servers in a box: 7TB of SSD storage, 8 Tesla P100 / V100 GPUs (28672 CUDA cores) and two Xeon processors
  • - 1 Dell R920 management node
  • - 4 Dell R730/R730xd storage servers (> 400TB)
  • - GPU workstations: 2 EXXACT Valence Workstation with GeForce Titan V; 2 Dell Precision T7600 with GeForce Titan X; 1 SupermicroGPU SuperWorkstation7048GR-T with 3 Tesla K10
  • - Embedded Devices: 7 NVIDIA JetsonTX2 Developer Kits; 7 Xilinx PYNQ-Z1 FPGA Board; 10 Raspberry Pi 3

  • Lab Enhancement
  • - Two IBM Power 8 servers with FPGA accelerators
  •     - Donated by IBM in February 2019
  •     - Quote from Dr. Peter Hofstee: ”These systems are optimized for in-memory computing frameworks such as Apache Spark and (NoSQL) databases. Each system is also equipped with a shared-memory (CAPI) FPGA, providing new opportunities to integrate these new Big Data frameworks with FPGA-based logic for acceleration or teach advanced classes on FPGA programming."

  • - Five New NVIDIA DGX Stations
  •     - Acquired in April 2019 by Title III funding (Dr. Fuller)
  •     - NVIDIA 985-22587-2510-D00 DGX Station -1x E5-2695 v4 C PU, 256GB DDR4, 4x NVIDIA Tesla V100 32GB Volta GPU, 3x 1.92TB SSD (RAID0), 1x 192TB OS SSD, Dual 10GBE NIC, 3x DisplayPortOutputs, Ubuntu OS, DGX Recommended NVIDIA Driver, 1500W PSU
  •     - Software stack includes:: DIGITS training system; NVIDIA Deep Learning SDK with latest versions of CUDA & cuDNN; NVIDIA Cluster Portal (cloud or onsite); Online application repository with the major deep learning frameworks; NVDockercontainerized app deployment; Managed app container creation and deployment; Multi-Node management with telemetry, monitoring and alerts


c). Center for Computational Systems Biology (CCSB)     Visit CCSB website

  • Role: PI
  • CCSB’s Mission: The CCSB will build strong capabilities in the exciting emerging research area of computational biology and bioengineering, leveraging the existing research capabilities from Electrical and Computer Engineering, Computer Science, Mathematics, Agriculture and Biology. The CCSB will pave the way to establish a Computational Biology and Bioengineering program at Prairie View A&M University as well as help forge collaboration with the medical center in Houston, Texas.
  • CCSB’s Facilities: A Next Generation Sequencing (NGS) facility is established in the Roy G. Perry College of Engineering at PVAMU. 

d). Wireless Communications Lab

  • Role: Founding Director
  • 4 test beds: 1) wireless XBOW sensor network test bed; 2) Voice-over-IP (VoIP) test bed; 3) WLAN security enhancement test bed; 4) USRP/USRP2+GNUradio test bed.
  • Demonstrated and reviewed by many visitors from US Army Research Office, National Science Foundation, US Navy, Texas Higher Education Coordinating Board, etc. 

e). Center of Excellence for Battlefield Communications Research

  • Role: Co-PI and Co-Founder




Current Ph.D. Students



Ph.D. Graduates supervised

  • Ning Song (Member of Technical Staff at Big Switch Networks)

  • Haixin Wang (Associate Professor at Fort Valley State University, GA 31030, USA)

  • Song Gao (Senior Financial Software Engineer at Bloomberg LP)

  • Paul Potier (Professor at Texas A&M University Galveston)

  • CaLynna Sorrells (Cloud Security Systems Integration Engineer at Intel Corporation)

  • Joseph Kamto (Adjunct Professor at Houston Community College)

  • Ojemba Babatundi ( Founder and President of Badeba Inc.)

  • Nan Zou (with LSNA Energy)

  • Hossein Jafari (with OSRAM)

 

Ph.D. Graduates served as committee member

  • Jia (Jasmine) Meng, Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77004, USA

      • Dissertation title: “Compressive Sensing Application to Wireless Communications”.

      • Ph.D. awarded in Dec 2010.

  • Senthamilselvi, M., Faculty of Information and Communication Engineering, Anna University, Chennai 600025, India

      • Dissertation title: “Energy Efficient Distributed Coverage Algorithm for Target Tracking in Wireless Sensor Networks”.

      • Ph.D. awarded in Dec 2011.

  • Zhou Yuan, Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77004, USA

      • Dissertation title: “A Framework of Belief Propagation and Game Theory for Cognitive Radio Security and Routing”.

      • Ph.D. awarded in Aug 2012.





 

M.S. Graduates supervised

  • Ebal Onyiego

  • Joseph Kamto

  • Nicholas Steward

  • Oluwaseyi Olujimi Omotere

  • Wasiu Opeyemi Oduola

  • Sunday Adeola Ogedengbe

  • Samuel Bamgbose

  • Joshua Bassey

  • Safat Mahmood

  • Oluseyi David Adejuwon

  • Ludwig Marillo

  • Remilekun Sobayo

  • Ibrahim Latunde Olokodana

  • Devin Runnels

 

M.S. Graduates served as committee member

  • Jing Lu

      • Thesis topic: “Improving the Efficiency of Wireless Networks via Multiresolution Modulations”.

      • M.S. awarded in May 2008.

  • Tingting Li

      • Thesis topic: “Quality of Service Assured Voice Over IP System Design and Implementations”.

      • M.S. awarded in Dec 2007.

  • Ashwin Ashok

      • Thesis topic: “A Distributed Method for Synchronization in a TD/CDMA Based Mobile Ad-Hoc Network”.

      • M.S. awarded in August 2008.

  • Kuntal Ray, Department of Computer Science, University of Houston, Houston, TX 77004, USA

      • Thesis topic: “Distributed Cross-Layer Wireless Spectrum Analyzer”.

      • M.S. awarded in Dec 2010.

 

Undergraduate Students (senior design projects supervisor, 40 students)

  1. The Design of an Intelligent Fire Sprinkler System (Sep. 2004 – May 2005)

  2. Environment Monitoring using an Ultra Low Power Distributed Wireless Sensor Network (Sep. 2005 – May 2006)

  3.  Energy Efficient Distributed Tracking in an Ultra Low Power Wireless Sensor Network (Jan. 2006 – Jan. 2007)

  4. Energy Efficient Tracking of Moving Targets using an Ultra Low Power Distributed Wireless Sensor Network (Sep. 2006 – May 2007)

  5. Wireless Border: US-Mexico Border Monitoring using a Low Power Distributed Wireless Sensor Network (Jan. 2007 – Jan. 2008)

  6. Accurate Target Tracking by a Low Power Distributed Wireless Sensor Network using Kalman Filtering (Sep. 2007 – May 2008)

  7. Covert In-building Reconnaissance (Sep. 2008 – May 2009)

  8. Cognitive Radio for Spectrum Monitoring (Sep. 2010 – May 2011)

  9. Spectrum Surveillance System Designed for Interference Avoidance (Sep. 2011 – May 2012)

 

Visiting Students

  • Jari Nieminen, Department of Communications and Networking, Helsinki University of Technology (now Aalto University), Finland










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Big Data Analytics

Journal Papers:

  • Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2018). “Efficient Processing of Big Uncertain Data from Multiple Sensors with High Order Multi-Hypothesis: An Evidence Theoretic Approach”, International Journal of Big Data Intelligence, Vol.5(3), pp.177-190.
  • Qian, J. Zhu, S. Zhang (2017). “Survey of Wireless Big Data”, Journal of Communications and Information Networks, 2(1), Mar. 2017, pp.1-18.
  • H. Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2016). “Multisensor Change Detection based on Big Time-Series Data and Dempster-Shafer Theory”, Concurrency and Computation: Practice and Experience, Oct 2016, pp.1-11

Conference Papers:

  •  J. Bassey, X. Li, L. Qian, A. Aved, T. Kroecker (2018). “Efficient Computing of Dempster-Shafer Theoretic Conditionals for Big Hard/Soft Data Fusion”, 21st International Conference on Information Fusion (FUSION 2018), July 10-14, 2018, Cambridge, UK.
  • Olakodana, Y. Wang, L. Qian (2017). “Advanced Data Processing for Communication-constrained Underwater Domain”, The Eleventh ACM International Conference on Underwater Networks and Systems (WUWNet 2017), Nov. 6-8, Halifax, NS, Canada.
  • Wang, Y. Gong, L. Qian, R. Jäntti, M. Pan, Z. Han (2017). “Primary Users' Operational Privacy Preservation via Data-Driven Optimization”, IEEE Globecom, Singapore, Best Paper Award.
  • C. Chen, Y. Yan, L. Huang, and L. Qian (2017). “Implementing a Distributed Volumetric Data Analytics Toolkit on Apache Spark”, New York Scientific Data Summit (NYSDS), Aug 6-9, New York, NY, USA.
  • Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2017). “Evidence Theory Enabled Quickest Change Detection Using Big Time-Series Data from Internet of Things”, 19th International Conference on Data Mining, Big Data, Database and Data System, June 15-16, Toronto, Canada.
  • Jafari, X. Li, L. Qian, A. Aved, T. Kroecker (2016). “Multisensor Change Detection based on Big Time-Series Data and Dempster-Shafer Theory”, IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE), August 23-26, Tianjin, China.
  • Jafari, X. Li, L. Qian (2016). “Efficient Processing of Uncertain Data Using Dezert-Smarandache Theory: A Case Study”, IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2016), Auckland, New Zealand, August 8-12, 2016.
  • Y. Yan, N. Del Rio, T. Lebo, L. Huang and L. Qian (2016). “Performance Evaluation of Big RDF Data on Cassandra”, The First Workshop of Mission-Critical Big Data Analytics, PVAMU


















Machine Learning

 Journal Papers:

  • •  Dong, H. Wu, Y. Yan, and L. Qian (2019). “Hierarchical Transfer Convolutional Neural Networks for Image Classification,” submitted to IEEE Transactions on Emerging Topics in Computational Intelligence.
  • X. Dong, S. Chowdhury, L. Qian, X. Li, Y. Guan, J. Yang, and Q. Yu (2019). “Deep learning for named entity recognition on Chinese electronic medical records:combining deep transfer learning with multitask bi-directional lstm rnn,” PLOS ONE, accepted.
  • B. Yang, X. Cao, Z. Han, and L. Qian (2019). “A Machine Learning Enabled MAC Framework for Heterogeneous Internet-of-Things Networks,” IEEE Transactions on Wireless Communications, accepted
  • • O. Bamgbose, X. Li, and L. Qian (2019). “Trajectory tracking control optimization with neural network for autonomous vehicles,” Adv. Sci. Tech. Eng. Syst. J., Special Issue on Recent Advances in Engineering Systems.
  • • S. Chowdhury, X. Dong, L. Qian, X. Li, Y. Guan, J. Yang, Q. Yu (2018). “A Multitask bi-directional RNN Model for Named Entity Recognition on Electronic Medical Records”, BMC Bioinformatics, accepted.
  • • Yang, X. Cao, L. Qian (2018). “Performance Analysis of An Machine Learning Enabled MAC Framework for Heterogeneous Internet-of-Things Networks”, submitted to IEEE Transactions on Communications. 

 

 Conference Papers:

  • •  Wu, Z. Zhou, M. Feng, Y. Yan, H. Xu, and L. Qian (2019). “Real-time Single Object Detection on The UAV,” International Conference on Unmanned Aircraft Systems, ICUAS'19.
  • • Yang, H. Wu, X. Cao, X. Li, T. Kroecker, Z. Han, and L. Qian (2019). “Intelli-Eye: An UAV Tracking System with Optimized Machine Learning Tasks Offloading,” INFOCOM Workshop 2019.
  • • Yang, X. Cao, X. Li, T. Kroecker, and L. Qian (2019). “Joint Communication and Computing Optimization for Hierarchical Machine Learning Task Distribution”, ISCC 2019.
  • • Dong, U. Victor, and L. Qian (2019). “Deep Two-path Semi-supervised Learning for Fake News Detection”, submitted to The 57th Annual Meeting of the Association for Computational Linguistics (ACL).
  • • Bassey, X. Li, and L. Qian (2019). “An Experimental Study of Multi-Layer Multi-Valued Neural Network”, The 2nd International Conference on Data Intelligence and Security (ICDIS 2019), South Padre Island, USA
  • • Kotteti, X. Dong, and L. Qian (2018). “Multiple Time-Series Data Analysis for Rumor Detection on Social Media”, IEEE International Conference on Big Data, Dec 10-13, 2018, Seattle, WA, USA.
  • • C. Kotteti, X. Dong, N. Li and L. Qian (2018). “Fake News Detection Enhancement with Data Imputation”, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress, August 12-15, 2018, Athens, Greece.
  • • Chowdhury, X. Dong, L. Qian, X. Li, Y. Guan, J. Yang, Q. Yu (2018). “A Multitask bi-directional RNN Model for Named Entity Recognition on Electronic Medical Records”, International Conference on Intelligent Biology and Medicine (ICIBM 2018), NSF Travel Award.
  • • Omotere, J. Fuller, L. Qian, and Z. Han (2018). “Spectrum Occupancy Prediction in Coexisting Wireless Systems using Deep Learning”, IEEE 88th Vehicular Technology Conference (VTC 2018), August 27–30, 2018, Chicago, IL, USA.
  • • B. Yang, X. Cao, and L. Qian (2018). “A Scalable MAC Framework for Internet of Things Assisted by Machine Learning”, IEEE 88th Vehicular Technology Conference (VTC 2018), August 27–30, 2018, Chicago, IL, USA.
  • • H. Jafari, O. Omotere, D. Adesina, H. Wu, L. Qian (2018). “IoT Devices Fingerprinting Using Deep Learning”, IEEE MILCOM, October 29-31, 2018, Los Angeles, CA, USA
  • • Sobayo, H.Wu, R. Ray and L. Qian (2018). “Integration of Convolutional Neural Network and Thermal Images into Soil Moisture Estimation”, The 1st International Conference on Data Intelligence and Security (ICDIS 2018), April 8-10, South Padre Island, USA.
  • • Dong, S. Chowdhury, L. Qian, Y. Guan, J. Yang, Q. Yu (2017). “Transfer Bi-directional LSTM RNN for Named Entity Recognition in Chinese Electronic Medical Records”, IEEE HealthCom, Oct 12-15, 2017, Dalian, China.
  • • Dong, L. Qian, and L. Huang (2017). “A CNN Based Bagging Learning Approach to Short-Term Load Forecasting in Smart Grid”, The 3rd IEEE International Conference on Cloud and Big Data Computing, Aug 4 – 8, San Francisco, CA, USA.
  • • Dong, L. Qian, and L. Huang (2017). “Short-Term Load Forecasting in Smart Grid: A Combined CNN and K-Means Clustering Approach”, IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2017), Feb 13-16, Juji, Korea.
  • • Adejuwon, H. Wu, Y. Yan, and L. Qian (2017). “Performance Evaluation of Target Identification Model Using Deep Learning”, The 15th International Conference on Software Engineering Research and Practice, July 17-20, Las Vegas, NV, USA.
  • • X. Dong, L. Qian, Y. Guan, L.Huang, Q. Yu, J. Yang (2016).A Multiclass Classification Method Based on Deep Learning for Named Entity Recognition in Electronic Medical Records”, New York Scientific Data Summit
  • L. Qian and C. Mavroidis (1998). “Identification of the End-Effector Positioning Errors of a High Accuracy Large Medical Robot using Neural Networks", in Proceedings of Innovations in Theory, Practice and Applications: IEEE/RSJ International Conf. on Intelligent Robots and Systems, pp. 951-958, 1998. [pdf]

 


Fog/Mobile Edge Computing

 Journal Papers:

  • • Yang, X. Cao, and L. Qian (2019). “Mobile Edge Computing based Hierarchical Machine Learning Tasks Distribution for Industrial Internet-of-Things,” submitted to IEEE Transactions on Industrial Informatics.

 Conference Papers:

  • •  B. Yang, X. Cao, J. Bassey, X. Li, T. Kroecker, and L. Qian (2019). “Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach”, ICC 2019
  • M. Feng, L. Qian, H. Xu (2018). “Multi-Robot Enhanced MANET Intelligent Routing at Uncertain and Vulnerable Tactical Edge”, IEEE MILCOM, October 29-31, 2018, Los Angeles, CA, USA.
  • • Bamgbose, Y. Zhang, and L. Qian (2016). “IMP-based Synchronization Controller for Distributed Three-Phase Inverter with Uncertain Loads”, IEEE International Conference on Mechatronics and Automation, Aug 7-10, 2016, Best Paper Finalist.

Wireless Communications and Mobile Networks

Journal Papers

  • • Feng, L. Qian, H. Xu (2019). “Multi-Autonomous Robot Enhanced Ad-hoc Network under Uncertain and Vulnerable Environment”, IEICE Transactions, Vol.E102-B, No.10, Oct. 2019.
  • • Li, L. Qian, D. Qiao, S. Shao (2019). “MAC for the Next Generation Networks in Unlicensed Band”, Mobile Networks and Applications
  • • Cao, Z. Song, B. Yang, M. ElMossallamy, L. Qian, and Z. Han (2019). “A Distributed Ambient Backscatter MAC Protocol for Internet-of-Things Networks,” submitted to IEEE Internet of Things Journal.
  • • X. Cao, Z. Song, B. Yang, L. Qian, Z. Han (2018). “Full-Duplex MAC in LAA/Wi-Fi Coexistence Networks: Design, Modeling and Analysis”, submitted to IEEE Transactions on Wireless Communications
  • J. Wang, Y. Gong, L. Qian, R. Jäntti, M. Pan, Z. Han (2018). “Data-Driven Optimization Based Primary Users' Operational Privacy Preservation”, IEEE Transactions on Cognitive Communications and Networking, Vol.4(2), pp.357-367
  • • Wang, H. Li, and L. Qian (2017). “Belief Propagation and Quickest Detection Based Cooperative Spectrum Sensing in Heterogeneous and Dynamic Environments”, IEEE Transactions on Wireless Communications, Vol.16(11), pp.7446-7459.
  • • Kamto, L. Qian, W. Li, Z. Han (2016). “λ-Augmented Tree for Robust Data Collection in Advanced Metering Infrastructure”, International Journal of Distributed Sensor Networks, Mar 2016, pp.1-13.
  • Qian, Z. Han, Y. Chen, C. Xu, D. Kataria (2016). “Editorial: Smart Device Enabled Sensor Networks: Theory and Practice (SDES)”, International Journal of Distributed Sensor Networks, Vol.12(8), Aug 2016.
  • Qian, O. Omotere, and R. Jäntti (2015). “Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks”, EAI Endorsed Transactions on Cognitive Communications, Vol.1(2), May 2015, pp.1-13.
  • • Ali, S. Wei, and L. Qian (2015). “Optimal Admission and Preemption Control in Finite-Source Loss Systems”, Operations Research Letters, Vol.43(3), May 2015, pp.241-246.
  • • O. Omotere, L. Qian and R. Jäntti (2014). “Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks”, EAI Transaction on Cognitive Communications.
  • • H. Li, A. Dimitrovski, J. Song, Z. Han, L. Qian (2014). “Communication Infrastructure Design in Cyber Physical Systems with Applications in Smart Grids: A Hybrid System Framework”, IEEE Communications Surveys and Tutorials.
  • • Liu, L., Z. Han, Z. Wu, and L. Qian (2014). “Spectrum Sensing and Primary User Localization in Cognitive Radio Networks via Sparsity," ICST Transactions on Wireless Spectrum, Vol.1, No.1, pp.1-14.
  • • P. Potier and L. Qian (2013). “Management of Cognitive Radio Ad Hoc Networks Using a Congestion Based Metric”, International Journal of Network Management, Vol.23, No.5, pp.325-349,Wiley,DOI: 10.1002/nem.1835.

  • Qian, L. X. Li, and S. Wei (2013). “Anomaly Spectrum Usage Detection in Multihop Cognitive Radio Networks: A Cross-Layer Approach”, Journal of Communications, vol. 8, no. 4, pp. 259-266. DOI: 10.12720/jcm.8.4. 259-266.

  • • Potier, P., C. Sorrells, Y. Wang, and L. Qian (2013). “Spectrum Inpainting: A New Framework for Spectrum Status Determination in Large Cognitive Radio Networks”, Wireless Networks, Springer, DOI:10.1007/s11276-013-0614-9.

  • • J. Nieminen, L. Qian and R. Jäntti (2011). “Network-Wide Time Synchronization in Multi-Channel Wireless Sensor Networks", Wireless Sensor Network, vol.3, no.2, pp.39-53. [pdf]
  • • Gao, S., L. Qian, and D.R. Vaman (2009). “Distributed Energy Efficient Spectrum Access in Cognitive Radio Wireless Ad Hoc Networks", IEEE Transactions on Wireless Communications, vol.8, no.10, pp.5202-5213. [pdf]
  • Qian, L., D.R. Vaman, and N. Song (2007). “QoS-Aware Maximally Disjoint Routing in Power Controlled Multihop CDMA Wireless Ad Hoc Networks", EURASIP Journal on Wireless Communications and Networking, Volume 2007, Article ID 53717. (DOI: 10.1155/2007/53717) [pdf]
  • • Skataric, D., Z. Gajic, and L. Qian (2007). “Optimal Linear and Bilinear Algorithms for Power Control in 3G Wireless CDMA Networks", European Transactions on Telecommunications, vol.18, pp.419-426, Wiley. (DOI: 10.1002/ett.1148). [pdf]
  • Qian, L., D.R. Vaman, X. Li and Z. Gajic (2006). “Power Control and Scheduling with Minimum Rate Constraints in Clustered Multihop TD/CDMA Wireless Ad Hoc Networks", Journal of Wireless Communications and Mobile Computing, vol.6, pp.791-808, Wiley. (DOI: 10.1002/wcm.442) [pdf]
  • • Kumaran, K., and L. Qian (2006). "Uplink Scheduling in CDMA Packet-Data Networks", ACM Wireless Networks, vol.12, no.1, pp.33-43. [pdf]
  • Qian, L., and Z. Gajic (2006). “Variance Minimization Stochastic Power Control in CDMA Systems", IEEE Transactions on Wireless Communications, vol.5, no.1, pp.193-202. [pdf]
  • Qian, L., and Z. Gajic (2003). "Optimal Distributed Power Control in Cellular Wireless Systems", invited paper, Dynamic Systems in Communication Networks,special issue of International Journal on Dynamics of Continuous, Discrete and Impulsive Systems, vol.10, pp.537-559. [pdf]

 

Conference Papers

  • • Cao, Z. Song, B. Yang, M. ElMossallamy, L. Qian, and Z. Han (2019). “A Distributed MAC Using Wi-Fi to Assist Sporadic Backscatter Communications,” INFOCOM Workshop 2019.
  • • Omotere, L. Qian, R. Jäntti, M. Pan, Z. Han (2017). “Big RF Data Assisted Cognitive Radio Network Coexistence in 3.5GHz Band”, the 26th International Conference on Computer Communications and Networks (ICCCN 2017), July 31- Aug 3, Vancouver, Canada.
  • • A. Ali, S. Wei, and L. Qian (2015). “Optimal Call Admission and Preemption Control for Public Safety Communications”, IEEE Conference on Information Sciences and Systems (CISS), March 18-20, 2015, Baltimore, MD, USA.
  • • F. Sangare, A. Arab, M. Pan, L. Qian, S. Khator, and Z. Han (2015). “RF Energy Harvesting for WSNs via Dynamic Control of Unmanned Vehicle Charging”, IEEE Wireless Communications and Networking Conference (WCNC).
  • • O. Omotere, L. Qian and R. Jäntti (2014). "Performance Bounds of Prioritized Access in Coexisting Cognitive Radio Networks”, The 9th International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), June 2-4, 2014, Oulu, Finland.
  • • Omotere, W. Oduola, N. Zou, X. Li, L. Qian, and D. Kataria (2016). “Distributed Spectrum Monitoring and Surveillance using a Cognitive Radio based Testbed”, IEEE Sarnoff Symposium, Sep 19-21, 2016, Newark, NJ, USA.
  • • W. Oduola, N. Okafor, O. Omotere, L. Qian, and D. Kataria (2015). “Experimental Study of Hierarchical Software Defined Radio Controlled Wireless Sensor Network”, IEEE Sarnoff Symposium, Sep 20-22, 2015, Newark, NJ, USA
  • • H. Jafari, X. Li, L. Qian, and Y. Chen (2015). “Community Based Sensing: A Test Bed for Environment Air Quality Monitoring using Smartphone paired Sensors”, IEEE Sarnoff Symposium, Sep 20-22, 2015, Newark, NJ, USA
  • • A. Ali, S. Wei, and L. Qian (2015). “Optimal Call Admission and Preemption Control for Public Safety Communications”, IEEE Conference on Information Sciences and Systems (CISS), March 18-20, 2015, Baltimore, MD, USA
  • • Pawloski, L. Wu, X. Du, and L. Qian (2015). “A Practical Approach to the Attestation of Computational Integrity in Hybrid Cloud”, International Conference on Computing, Networking and Communications.
  • • Kamto, L. Qian, W. Li, and Z. Han (2015). “Biconnected Tree for Robust Data Collection in Advanced Metering Infrastructure”, IEEE Wireless Communications and Networking Conference (WCNC).
  • • Sangare, A. Arab, M. Pan, L. Qian, S. Khator, and Z. Han (2015). “RF Energy Harvesting for WSNs via Dynamic Control of Unmanned Vehicle Charging”, IEEE Wireless Communications and Networking Conference (WCNC).
  • • Omotere, L. Qian and R. Jäntti (2014). “Performance Bounds of Prioritized Access in Coexisting Cognitive Radio Networks”, The 9th International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), June 2-4, 2014, Oulu, Finland.
  • • Oduola, L. Qian, X. Li (2014). “Femtocell as a Relay with Application of Physical Layer Network Coding”, in Proceedings of IEEE Consumer Communications and Networking Conference (CCNC), Jan 10-13, Las Vegas, NV, USA.
  • • W. Oduola, L. Qian, X. Li (2014). "Femtocell as a Relay with Application of Physical Layer Network Coding”, in Proceedings of IEEE Consumer Communications and Networking Conference (CCNC), Jan 10-13, Las Vegas, NV, USA.

  • • O. Babatundi, L. Qian, J. Cheng (2014). "Downlink Scheduling in Visible Light Communications”, International Conference on Wireless Communications and Signal Processing (WCSP 2014), Oct 23-25, Hefei, China.

  • • W. Oduola, L. Qian, X. Li, Z. Han (2014). “Power Control for Device-to-Device Communications as an Underlay to Cellular System”, IEEE International Conference on Communications, Sydney, Australia.

  • • Y. Wang, H. Li, L. Qian (2013). “Belief Propagation Based Spectrum Sensing Subject To Dynamic Primary User Activities: Phantom of Quickest Detection”, in Proceedings of IEEE MILCOM 2013, Nov 18-20, San Diego, USA.

  • • O. Omotere, L. Qian, and X. Du (2013). “Performance Bound of Ad Hoc Device-to-Device Communications using Cognitive Radio”, in Proceedings of IEEE Globecom 2013 Workshop - International Workshop on Device-to-Device Communication With and Without Infrastructure (GC13 WS - D2D), Dec 9-13, Atlanta, USA.

  • • W. Oduola, L. Qian, X. Li, and D. Kataria (2013). "Mitigating Uplink Interference in Femtocell Networks with Physical Layer Network Coding”, in Proceedings of IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)Dec 15-18, Chennai, India.

  • Qian, L., X. Li, and S. Wei (2013). “Cross-Layer Detection of Stealthy Jammers in Multihop Cognitive Radio Networks”, Invited position paper, in Proceedings of International Conference on Computing, Networking and Communication (ICNC)Jan 26 – Feb 1, San Diego, CA, USA.

  • Qian, L., C. Sorrells, X. Li, D. Kataria (2012). "Detection of Spectrum Congestion in Cognitive Radio Ad Hoc Networks”, in Proceedings of IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)Dec 16-19, Bangalore, India.

  • • P. Potier, L. Qian, H. Zheng, and S. Wang (2012). "Performance Management in Cognitive Radio Ad Hoc Networks using Congestion based Metric,” in Proceedings of IEEE MILCOM 2012.

  • Qian, L., X. Li, and S. Wei (2012). "Cross-Layer Detection of Stealthy Jammers in Multihop Cognitive Radio Networks", Invited position paper, International Conference on Computing, Networking and Communication (ICNC).

  • • J. Nieminen, L. Qian and R. Jäntti (2012). "Per-Node Throughput Performance of Overlapping Cognitive Radio Networks", in Proceedings of 7th International Conference on Cognitive Radio Oriented Wireless Networks (CrownCom), June 2012, Stockholm, Sweden. [pdf]
  • • H. Li and L. Qian (2012). "Joint Congestion Control and Routing Subject to Dynamic Interruptions in Cognitive Radio Networks", in Proceedings of 7th International Conference on Cognitive Radio Oriented Wireless Networks (CrownCom), June 2012, Stockholm, Sweden [pdf]
  • • H. Li and L. Qian (2011). "Cross-Network Spectrum Sensing for Mission-Critical Cognitive Radio Networks: Collaboration Through Gateways", in Proceedings of IEEE Military Communications Conference (Milcom), Nov 2011, Baltimore, MD, USA. [pdf]
  • • C. Sorrells, P. Potier, L. Qian, and X. Li (2011). "Anomalous Spectrum Usage Attack Detection in Cognitive Radio Wireless Networks", in Proceedings of IEEE Conference on Homeland Security Technologies, Nov 2011, Boston, MA, USA. [pdf]
  • • P. Potier and L. Qian (2011). "Network Management for Cognitive Radio Networks", in Proceedings of 4th International Conference on Cognitive Radio and Advanced Spectrum Management (CogART), invited paper, Oct 2011, Barcelona, Spain.

  • • P. Potier, C. Sorrells, Y. Wang, L. Qian, and H. Li (2011). “Network-Wide Spectrum Situation Reconstruction using Total Variation Inpainting in Cognitive Radio Ad Hoc Networks", in Proceedings of IEEE Global Communications Conference (Globecom), Dec 2011, Houston, TX, USA. [pdf]
  • • L. Liu, Z. Han, Z. Wu, and L. Qian (2011). “Collaborative Compressive Sensing based Dynamic Spectrum Sensing and Mobile Primary User Localization in Cognitive Radio Networks", in Proceedings of IEEE Global Communications Conference (Globecom), Dec 2011, Houston, TX, USA. [pdf]
  • • O. Olabiyi, A. Annamalai, and L. Qian (2011). “Leader Election Algorithm in Distributed Ad-hoc Cognitive Radio Networks", in Proceedings of IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, USA. [pdf]
  • • Nieminen, J., R. Jäntti and L. Qian (2010). “Primary User Detection in Distributed Cognitive Radio Networks under Timing Inaccuracy", in Proceedings of IEEE International Dynamic Spectrum Access Networks Symposium (DySPAN), Singapore[pdf]
  • Qian, L. and Y. Chen (2010). “Optimized Routing in Organization-Aware Multihop Wireless Networks (ORION)", in Proceedings of IEEE Military Communications Conference (Milcom), San Jose, CA, USA,Nov 2010. [pdf]
  • • Cheng, J., H. Jiang, X. Ma, L. Liu, L. Qian (2010). “Efficient Data Collection with Sampling in WSNs: Making Use of Matrix Completion Techniques", in Proceedings of IEEE Global Communications Conference (Globecom), Miami, FL, USA, Dec 6-10, 2010. [pdf]
  • • Gao, S., L. Qian, D.R. Vaman and Z. Han (2010). “Distributed Cognitive Sensing for Time Varying Channels: Exploration and Exploitation", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Sydney, Australia. [pdf]
  • • Li, H., and L. Qian (2010). “Enhancing the Reliability of Cognitive Radio Networks via Channel Assignment: Risk Analysis and Redundancy Allocation", in Proceedings of IEEE Conference on Information Sciences and Systems (CISS), Princeton University, NJ, USA. [pdf]
  • • Nieminen, J., R. Jäntti and L. Qian (2009). “Time Synchronization of Cognitive Radio Networks", in in Proceedings of IEEE Globecom, Honolulu, HI, USA. [pdf]
  • • Y. Chen and L. Qian (2009). “Organization-Aware Routing in Mission Critical Networks", in Proceedings of IEEE Military Communications Conference (Milcom), Boston, MA, USA. [pdf]
  • L. Qian, X. Li, and D. Kataria (2009). “Downlink Power Control in Co-Channel Macrocell Femtocell Overlay", in Proceedings of IEEE Conference on Information Sciences and Systems (CISS), March 18-20, Baltimore, MD, USA. [pdf]
  • • S. Gao, L. Qian, and D.R. Vaman (2008). “Energy Efficient Adaptive Modulation in Wireless Cognitive Radio Ad Hoc Networks", in Proceedings of IEEE Workshop on Networking Technologies for Software Defined Radio (SDR) Networks, June 16-20,",San Francisco, CA, USA. [pdf]
  • • S. Gao, L. Qian, and D.R. Vaman (2008). “Distributed Energy Efficient Spectrum Access in Wireless Cognitive Radio Sensor Networks", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), March 31 ", April 3, Las Vegas, NV, USA. [pdf]
  • • D.R. Vaman, and L. Qian (2008). “Cognitive Radio Mixed Sensor and Mobile Ad Hoc Networks", in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, October 12-15, Singapore[pdf]
  • • Y. Chen, L. Qian, and D.R. Vaman (2008). “Hierarchical Path Metric in Multi-Hop Wireless Networks", in Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), August 6-8, Crete Island, Greece. [pdf]
  • • S. Gao, L. Qian, and D.R. Vaman (2008). “Energy Efficient Resource Allocation in Cognitive Radio Ad Hoc Networks", in Proceedings of IEEE Sarnoff Symposium, April 28-30, Princeton, NJ, USA. [pdf]
  • • S. Gao, Q. Qu, L. Qian, and D.R. Vaman (2007). “Energy Efficient Adaptive Modulation in Wireless Cognitive Radio Sensor Networks", in Proceedings of IEEE International Conference on Communications (ICC), June 24-28, Glasgow, Scotland. [pdf]
  • L. Qian, X. Li, J. Attia, and Z. Gajic (2007). “Joint Power Control and Admission Control for CDMA Cognitive Radio Networks", in Proceedings of the 15th IEEE Workshop on Local and Metropolitan Area Networks (LANMAN), June 10-13, Princeton, NJ, USA. [pdf]
  • • M. Andrews, L. Qian and A. Stolyar (2005). “Optimal Utility Based Multi-User Throughput Allocation subject to Throughput Constraints", in Proceedings of IEEE Conference on Computer Communications (INFOCOM), March 13-17, Miami, FL, USA. [pdf]
  • L. Qian, et. al, "Joint Power Control and Maximally Disjoint Routing for Reliable Data Delivery in Multihop CDMA Wireless Ad Hoc Networks", IEEE WCNC 2006, Apr 2-6, Las vegas, NV. [pdf]
  • L. Qian, X. Li, J. Attia, and Z. Gajic (2007). “Power Control for Cognitive Radio Ad Hoc Networks", in Proceedings of the 15th IEEE Workshop on Local and Metropolitan Area Networks (LANMAN), June 10-13, Princeton, NJ, USA. [pdf]
  • L. Qian, X. Li, J. Attia, and Z. Gajic (2007). “Joint Power Control and Admission Control for CDMA Cognitive Radio Networks", in Proceedings of the 15th IEEE Workshop on Local and Metropolitan Area Networks (LANMAN), June 10-13, Princeton, NJ, USA. [pdf]
  • L. Qian, N. Song, D.R. Vaman, X. Li and Z. Gajic (2006). “Joint Power Control and Maximally Disjoint Routing for Reliable Data Delivery in Multihop Wireless Ad Hoc Networks", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), April 2-6, Las Vegas, NV, USA. [pdf]
  • L. Qian, N. Song, D.R. Vaman, X. Li and Z. Gajic (2006). “Power Control and Proportional Fair Scheduling with Minimum Rate Constraints in Clustered Multihop TD/CDMA Wireless Ad Hoc Networks", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), April 2-6, Las Vegas, NV, USA. [pdf]
  • L. Qian, A. Quamruzzaman, and J. Attia (2006). “Energy Efficient Sensing of Non-cooperative Events in Wireless Sensor Networks", in Proceedings of IEEE Conference on Information Sciences and Systems (CISS), March 22-24, Princeton, NJ, USA. [pdf]
  • • M. Lin, C. Chuang, C. Huang and L. Qian (2005). “Performance Analysis of MAC Retransmission in High-Speed Data Transmission", in Proceedings of IEEE International Conference on Wireless networks, Communications and Mobile Computing (Wirelesscom",5), June 13-16, Maui, HI, USA. [pdf]
  • L. Qian, X. Li and Z. Gajic (2004). “Adaptive Discrete Power Control for CDMA Systems", in Proceedings of Conference on Information Sciences and Systems (CISS), March 17-19, Princeton, NJ, USA. [pdf]
  • • K. Kumaran and L. Qian (2003). “Uplink Scheduling in CDMA Packet-Data Systems", in Proceedings of IEEE Conference on Computer Communications (INFOCOM), April 1-3, San Francisco, CA, USA. [pdf]
  • • K. Kumaran and L. Qian (2003). “Scheduling on Uplink of CDMA Packet-Data Network with Successive Interference Cancellation", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), March 16-20, New Orleans, LA, USA. [pdf]
  • • K. Kumaran and L. Qian (2002). “Uplink Scheduling in CDMA Systems", in Proceedings of 40th Annual Allerton Conference on Communication, Control, and Computing, October 2-4, Urbana, IL, USA. [pdf]

  • L. Qian and Z. Gajic (2002). “Variance Minimization Stochastic Power Control in CDMA Systems", in Proceedings of IEEE International Conference on Communications (ICC), April 28 ",May 2, New York, NY, USA. [pdf]
  • L. Qian and Z. Gajic (2001). “Joint Optimization of Mobile’s Transmission Power and SIR Error in CDMA Systems", in Proceedings of American Control Conference (ACC), June 25-27, Washington DC, USA. [pdf]
  • L. Qian and Z. Gajic (2000). “Optimal Distributed Power Control in Cellular Wireless Systems", in Proceedings of 38th Annual Allerton Conference on Communication, Control, and Computing, October 4-6, Urbana, IL, USA.

  • L. Qian and Z. Gajic (2000). “Feasibility Conditions of SIR-based Power Control in TDMA Wireless Systems", in Proceedings of Conference on Information Sciences and Systems (CISS), WA2, pp.19-24, Princeton, NJ, USA. [pdf]

 


Security Enhancement in Wireless Networks

Journal Papers

  • • C. Sorrells and L. Qian (2013). “Quickest Detection of Denial-of-Service Attacks in Cognitive Wireless Networks”, International Journal of Network Security, Vol.16, No.4, pp.390-398.
  • Qian, L., N. Song and X. Li (2007). “Detection of Wormhole Attacks in Multi-path Routed Wireless Ad Hoc Networks: A Statistical Analysis Approach", Journal of Network and Computer Applications, vol.30, pp.308-330. [pdf]

Conference Papers

  • • J. Bassey, D. Adesina, X. Li, L. Qian, A. Aved, T. Kroecker (2019). “Intrusion Detection for IoT Devices based on RF Fingerprinting using Deep Learning”, The Fourth International Conference on Fog and Mobile Edge Computing (FMEC 2019), Rome, Italy.
  • Qian, L., J. Fuller, Cheslan Simpson (2013). “A Community Sensing Framework for Threat Detection in Metropolitan Area”, in Proceedings of IEEE Conference on Homeland Security TechnologiesNov 12-14, Boston, MA, USA.

  • • J. Kamto, L. Qian, J. Fuller, J. Attia (2013). “Privacy Preserving Data Collection in AMI: Practical Key Deployment and Management”, Smart Grid Workshop, Texas A&M University, College Station, TX, Apr.17.

  • • Z. Zhang, M. Trinkle, L. Qian, and H. Li (2012). “Quickest Detection of GPS Spoofing Attack,” in Proceedings of IEEE MILCOM 2012.

  • •Q. Zeng, H. Li, and L. Qian (2012). “GPS Spoofing Attack on Time Synchronization in Wireless Networks and Detection Scheme Design,” in Proceedings of IEEE MILCOM 2012.

  • Qian, L., J. Fuller, and I. Chang (2012). “Quickest Detection of Nuclear Radiation using a Sensor Network”, in Proceedings of IEEE Conference on Homeland Security TechnologiesNov 13-15, Boston, MA, USA.

  • • C. Sorrells, L. Qian, and H. Li (2012). “Quickest Detection of Denial-of-Service Attacks in Cognitive Wireless Networks”, in Proceedings of IEEE Conference on Homeland Security TechnologiesNov 13-15, Boston, MA, USA

  • • Nieminen, J., R. Jäntti and L. Qian (2010). “Suppression of Intra-Network Interference in Decentralized Cognitive Radio Networks under Timing Errors", in Proceedings of International Conference on Signal Processing and Communication Systems, Gold Coast, Australia, Dec 2010. [pdf]

  • L. Qian, and J. Attia (2009). “Energy Efficient Sensing in Wireless Sensor Networks", NSF Joint Annual Meeting (JAM), June 2009, Washington, DC, USA.

  • L. Qian, X. Li, and J. Kamto (2009). “Secure Anonymous Routing in Wireless Mesh Networks", in Proceedings of IEEE International Conference on Information Systems Security, May 23-24, WuHan, China. [pdf]

  • L. Qian, N. Song, and X. Li (2006). “Secure Anonymous Routing in Clustered Multihop Wireless Ad Hoc Networks", in Proceedings of IEEE Conference on Information Sciences and Systems (CISS), March 22-24, Princeton, NJ, USA. [pdf]

  • L. Qian, N. Song and X. Li (2005). “Detecting and Locating Wormhole Attacks in Wireless Ad Hoc Networks through Statistical Analysis of Multi-path", in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), March 13-17, New Orleans, LA, USA. [pdf]

  • • N. Song, L. Qian and X. Li (2005). “Wormhole Attacks Detection in Wireless Ad Hoc Networks: A Statistical Analysis Approach", in Proceedings of the 1st International Workshop on Security in Systems and Networks (SSN), April 4-9, Denver, CO, USA. [pdf]


Bioinformatics

Journal Papers

  • • W. Oduola, X. Li, C. Duan, L. Qian, and E. Dougherty (2017). “Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control System Approach”, IEEE Transactions on Biomedical Engineering, DOI: 10.1109/TBME.2017.2723957, July 2017
  • • Li., O. Omotere, L. Qian, and E. Dougherty (2017). “Review of Stochastic Hybrid Systems with Applications in Biological Systems Modeling and Analysis”, EURASIP Journal on Bioinformatics and Systems Biology, 2017:8, DOI: 10.1186/s13637-017-0061-5, pp 1-12, June 2017.
  • • Oduola, X. Li, L. Qian, C. Duan, F. Wu, E. Dougherty (2017). “Time-Based Switching Control of Genetic Regulatory Networks: Towards Sequential Drug Intake for Cancer Therapy”, Cancer Informatics, Volume 16: 1–11.
  • • Li, W. Oduola, L. Qian, and E. Dougherty (2015). “Integrating Multiscale Modeling with Drug Effects for Cancer Treatments”, Cancer Informatics, 2015:14(S5), pp.21-31.
  • • Li, X., L. Qian, J. Hua, M. Bittner, and E. Dougherty (2012). “Assessing the Efficacy of Molecularly Targeted Agents on Cell Line-based Platforms by Using System Identification", BMC Genomics, in press. [pdf]
  • • Li, X., L. Qian, M. Bittner, and E. Dougherty (2011). “A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens - a Modeling Study of Drug Effects on Tumor Growth Using Hybrid Systems", Cancer Informatics, pp 41-60, 2012:11 PMID:22442626. [pdf]
  • • Li, X., L. Qian, M. Bittner, and E. Dougherty (2011). “Characterization of Drug Efficacy Regions based on Dosage and Frequency Schedules", IEEE Transactions on Biomedical Engineering,vol.58, no.3, pp.488-498, PMID: 21095860. [pdf]
  • • Wang, H., L. Qian, and E. Dougherty (2010). “Inference of gene regulatory networks using S-system: A unified approach", IET Systems Biology Journal, vol.4, no.2, pp.145-156, PMID: 20232994. [pdf]
  • Qian, L., H. Wang, and E. Dougherty (2008). “Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks using Genetic Programming and Kalman Filtering", IEEE Transactions on Signal Processing,vol.56, no.7, pp.3327-3339. [pdf]

Conference Papers

  • • Bamgbose, X. Li, L. Qian (2017). “Closed Loop Control of Blood Glucose Level with Neural Network Predictor for Diabetic Patients”, IEEE HealthCom, Oct 12-15, 2017, Dalian, China.

  • • Oduola, X. Li, L. Qian, C. Duan, F. Wu, E. Dougherty (2016). “Analysis and Control of Genetic Regulatory Systems with Switched Drug Inputs,” IEEE International Conference on Biomedical and Health Informatics, Las Vegas, NV, USA, February 24-27, 2016.

  • • Li, L. Qian, and S. Bamgbose (2015). “Sensitivity of kinetic rate variables in signaling pathways to drug responses”, CPRIT Innovations in Cancer Prevention and Research Conference, Nov 9-11, 2015, Austin, TX, USA.

  • • X. Li and L. Qian (2015). “Drug Effects Modeling on Tumor Growth”, CPRIT Innovations in Cancer Prevention and Research Conference, Nov 9-11, 2015, Austin, TX, USA
  • • Li and L. Qian (2015). “Multiscale Drug Effects Modeling using Applied Systems Pharmacology”, Symposia on Cancer Research, Oct 8-9, 2015, MD Anderson Cancer Center, Houston, TX, USA.
  • • Li, S. Ogedengbe, L. Qian, and E. Dougherty (2014). “Sensitivity Analysis For Drug Effect Study: an NF-kB Pathway Example”, GlobalSIP14-Workshop on Genomic Signal Processing and Statistics.
  • • Zou, L. Qian and H. Li (2014). “Auxiliary Frequency and Voltage Regulation in Microgrid via Intelligent Electric Vehicle Charging”, in Proceedings of IEEE SmartGridComm.
  • • Babatundi, L. Qian, and J. Cheng (2014). “Downlink Scheduling in Visible Light Communications”, International Conference on Wireless Communications and Signal Processing (WCSP).
  • • Oduola, L. Qian, X. Li, Z. Han (2014). “Power Control for Device-to-Device Communications as an Underlay to Cellular System”, IEEE ICC 2014, Sydney, Australia.
  • • Li, X., L. Qian, and E. Dougherty (2013). “Drug Sensitivity Analysis: A Dosage Study on Cancer Cell Lines”, Symposia on Cancer Research 2013: Genomic MedicineOct. 4-5, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Qian, L., X. Li, and E. Dougherty (2013). “Robust Identification of Molecularly Targeted Drug Effect Coefficient Using H∞ Filter”, in Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP) Symposium on Bioinformatics and Systems BiologyDec 4, Austin, TX, USA.

  • • X. Li, L. Qian, M. Bittner, and E. Dougherty (2013). “Drug Effect Study on Proliferation and Survival Pathways on Cell Line-based Platform: a Stochastic Hybrid Systems Approach”, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2013), Nov. 17-19, Houston, USA.

  • • X. Li, L. Qian, M. Bittner, and E. Dougherty (2011). “Assessing the Efficacy of Molecularly Targeted Agents by Using Kalman Filter", in Proceedings of IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS",1), San Antonio, TX, USA. [pdf]
  • • X. Li, L. Qian, M. Bittner, and E. Dougherty (2011). “Drug Effects Modeling for Tumor Growth using Hybrid Systems: A Personalized Drug Administration Approach to Improving Therapeutic Effects", 8th Annual Conference of Mid-South Computational Biology and Bioinformatics Society (MCBIOS), College Station, TX, USA, Apr.",2011.

  • • X. Li, L. Qian, M. Bittner, and E. Dougherty (2011).", “Dynamic and Quantitative Modeling of Drug Effect - a NF-",B pathway example study", 102nd annual meeting of American Association for Cancer Research (AACR), Orlando, FL, USA, Apr.",2011.

  • • X. Li, L. Qian, M. Bittner and E. Dougherty (2010). “Dynamic and Quantitative Drug Effects Modeling", Symposium on Cancer Research, MD Anderson Cancer Center, Houston, TX, USA, Oct. 2010.

  • • X. Li, L. Qian, and E. Dougherty (2010). “Modeling Treatment and Drug Effects at The Molecular Level Using Hybrid System Theory", in Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), May 2-5, Montreal, Canada. [pdf]
  • • H. Wang, J. Glover and L. Qian (2010). “A Comparative Study of the Time-Series Data for Inference of Gene Regulatory Networks Using B-Spline", in Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), May 2-5, Montreal, Canada. [pdf]
  • • H. Wang, L. Qian, and E. Dougherty (2009). “Steady State Analysis of Genetic Regulatory Networks Modeled by Nonlinear Ordinary Differential Equations", in Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), March 30 - April 2, Nashville, TN, USA. [pdf]
  • L. Qian and H. Wang (2007). “Inference of Genetic Regulatory Networks by Evolutionary Algorithm and H_infinity Filter", (invited paper) in Proceedings of IEEE Statistical Signal Processing Workshop (SSP), August 26-29, Madison, WI, USA. [pdf]
  • • H. Wang, L. Qian, and E. Dougherty (2007). “Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint Genetic Algorithm and Kalman Filtering Approach", in Proceedings of IEEE International Conference on Natural Computation (ICNC), August 24-27, Haikou, Hainan, China. [pdf]
  • • H. Wang, L. Qian, and E. Dougherty (2007). "Inference of Gene Regulatory Networks using S-System: A Unified Approach", in Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), April 1-5, Honolulu, HI, USA. [pdf]
  • • H. Wang, L. Qian, and E. Dougherty (2006). “Inference of Gene Regulatory Networks using Genetic Programming and Kalman Filter", in Proceedings of IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS), May 28-30, College Station, TX, USA. [pdf]

 


Smart Grid

Journal Papers

  • • H. Li, A. Dimitrovski, J. Song, Z. Han, L. Qian (2014). “Communication Infrastructure Design in Cyber Physical Systems with Applications in Smart Grids: A Hybrid System Framework”, IEEE Communications Surveys and Tutorials.

Conference Papers

  • S. Bamgbose, Y. Zhang, and L. Qian (2015). “Three-phase Inverter Synchronization Control Utilizing Internal Model Principle”, IEEE International Conference on Consumer Electronics (ICCE).
  • J. Kamto, L. Qian, W. Li, and Z. Han (2015). “Biconnected Tree for Robust Data Collection in Advanced Metering Infrastructure”, IEEE Wireless Communications and Networking Conference (WCNC).
  • N. Zou, L. Qian, H. Li (2014). “Auxiliary Frequency and Voltage Regulation in Microgrid via Intelligent Electric Vehicle Charging”, 5th IEEE International Conference on Smart Grid Communications (SmartGridComm), Nov 2-6, Venice, Italy.
  • N. Zou, L. Qian, J. Attia, and C. Ai (2014). “Cost and Peak-to-Average Ratio Reduction of Electricity Usage via Intelligent EV Charging”, The 9th IEEE Conference on Industrial Electronics and Applications (ICIEA 2014), June 9-11, 2014, Hangzhou, China.
  • J. Kamto, L. Qian, J. Fuller, J. Attia (2013). “Privacy Preserving Data Collection in AMI: Practical Key Deployment and Management”, Smart Grid Workshop, Texas A&M University, College Station, TX, Apr.17.

     

  • • N. Zou, L. Qian, J. Attia, and L. Xie (2013). “Optimization of PEV Charging in Residential Power Distribution Systems”, Smart Grid Workshop, Texas A&M University, College Station, TX, Apr.17.
  • • J. Kamto, L. Qian, J. Fuller, J. Attia, and Y. Qian (2012). “Key Distribution and Management for Power Aggregation and Accountability in Advance Metering Infrastructure”, in Proceedings of IEEE SmartGridComm, Nov 5-8, Tainan City, Taiwan.
  • • N. Zou, L. Qian, J. Attia, and L. Xie (2012). “Optimization of Home Energy Usage by Intelligently Charging/Discharging EV/PHEV”, in Proceedings of International Conference on Connected Vehicles and Expo (ICCVE 2012)Dec 12-16, Beijing, China.
  • • J. Kamto, L. Qian, J. Fuller, and J. Attia (2011). “Light-Weight Key Distribution and Management for Advanced Metering Infrastructure", in Proceedings of IEEE International Workshop on Communications Technologies for Secure, Reliable, and Sustainable Smart Grids, Dec 2011, Houston, TX, USA. [pdf]

 

 


MISC

  • • Bamgbose, Y. Zhang, and L. Qian (2015). “Three-phase Inverter Synchronization Control Utilizing Internal Model Principle”, IEEE International Conference on Consumer Electronics (ICCE).
  • • A. Pawloski, L. Wu, X. Du, and L. Qian (2015). “A Practical Approach to the Attestation of Computational Integrity in Hybrid Cloud”, International Conference on Computing, Networking and Communications.
  • L. Qian et.al (2003). “A New Approach for Automatic Grooming of SONET Circuits to Optical Express Links", in Proceedings of IEEE International Conference on Communications (ICC), May 11-15, Anchorage, AK, USA. [pdf]
  • • Zou, L. Qian, J. Attia, and C. Ai (2014). “Cost and Peak-to-Average Ratio Reduction of Electricity Usage via Intelligent EV Charging”, The 9th IEEE Conference on Industrial Electronics and Applications (ICIEA 2014), June 9-11, 2014, Hangzhou, China.
  • L. Qian, B. Gal-Or and E. Kreindler (1999). “Thrust Vectoring Applied to Catastrophic Failure Prevention in Jet Transports", Q-8d-01-3, pp.43-48, in Proceedings of World Congress of IFAC 1999.
  • L. Qian and C. Mavroidis (1998). “Identification of the End-Effector Positioning Errors of a High Accuracy Large Medical Robot using Neural Networks", in Proceedings of Innovations in Theory, Practice and Applications: IEEE/RSJ International Conf. on Intelligent Robots and Systems, pp. 951-958, 1998. [pdf]

  • Qian, L., B. Gal-Or and E. Kreindler (1998). “Can Thrust Vectoring Save a Doomed Transport Jet",",International Journal of Turbo & Jet-Engines, Vol.15, No.2, 1998.

 


Book Chapters

  • • W.O Oduola, X. Li, Qian, L., and D. Kataria (2015). “Physical Layer Network Coding for Heterogeneous Wireless Networks", Chapter 2 in Network Coding and Data Compression: Theory, Applications and Challenges, pp. 13-58, Nova Science Publishers.
  • • S. O. Bamgbose, X. Li, and L. Qian (2018). “Control of complex biological systems utilizing the neural network predictor,” Computational Intelligence and Optimization Methods for Control Engineering. Springer.
  • • W.O Oduola, X. Li, Qian, L., and D. Kataria (2015). “Physical Layer Network Coding for Heterogeneous Wireless Networks", Chapter 2 in Network Coding and Data Compression: Theory, Applications and Challenges, pp. 13-58, Nova Science Publishers.
  • Qian, L., H. Wang, and X. Li (2011). "Gene Regulatory Networks Inference: Combining a Genetic Programming and H8 Filtering Approach", Chapter 7 in Applied Statistics for Network Biology,ISBN: 978-3-527-32750-8, pp.133-153, Wiley.
  • • Gao, S., L. Qian and D.R. Vaman (2011). "Energy Efficient Resource Allocation in Wireless Cognitive Radio Ad Hoc Networks", Chapter 28 in Mobile Ad Hoc Networks: Protocol Design, pp.595-614, InTech.
  • Qian, L., J. Attia, X. Li, and D. Kataria (2010). "Power Control for Cognitive Radio Ad Hoc Networks", Chapter 3 in Cognitive Radio Networks, pp.57-85, CRC Press, Taylor & Francis Group, LLC.
  • Qian, L., J. Attia, X. Li, and D. Kataria (2009). "Energy-Efficient Sensing in Wireless Sensor Networks", Chapter 13 in RFID and Sensor Networks, pp. 355-377, CRC Press, Taylor & Francis Group, LLC.
  • Qian, L., N. Song, and X. Li (2007). “SARC: Secure Anonymous Routing for Cluster based MANET", Chapter 2 in Wireless Communications Research Trends, pp. 55-81, Nova Science Publishers.
  • Qian, L., X. Li, D. Vaman, and Z. Gajic (2006). "Joint Power Control and Proportional Fair Scheduling with Minimum Rate Constraints in Cluster Based MANET,",em>Lecture Notes in Computer Science 4325, Springer.

 


Patents

  • •"Optimal Fast Power Control in 3-G Wireless Systems", L. Qian and Z. Gajic, Rutgers University, US patent 6,944,470, awarded Sep. 2005.
  • "Uplink Scheduling for Wireless Networks", K. Kumaran and L. Qian, US patent 7,158,804, awarded Jan. 2007.
  • • "Method for Scheduling Wireless Downlink Transmissions Subject to Rate Constraints", M. Andrews, L. Qian, and A. Stolyar, US patent 7,298,719, awarded Nov. 2007.

 


IETF Drafts

  • • "A Framework for Internet Network Engineering", Internet Draft, July 2001.
  • • "Closed-Loop Automatic Link Provisioning", Internet Draft, Feb. 2001.
  • • "ICMP Extension for One-way Performance Metrics", Internet Draft, July 2000.