Nikolaos M. Freris 尼克
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We are actively looking to recruit graduate (MS, PhD) and undergraduate students and postdoctoral researchers in a wide range of projects pertaining to Cyberphysical Systems / IoT (machine learning, optimization, and applications).
Applicants may submit their CV and supporting documents (cover letter, research statement, selected publications) to Prof. Freris (nfr@ustc.edu.cn).The Cyberphysical Systems Lab at USTC is recruiting students at all levels
– PhD Electrical & Computer Engineering – University of Illinois at Urbana-Champaign (2010)
– MS Mathematics – University of Illinois at Urbana-Champaign (2008)
– MS Electrical & Computer Engineering – University of Illinois at Urbana-Champaign (2007)
– Diploma Electrical & Computer Engineering – National Technical University of Athens (2005)
Cyberphysical Systems (CPS) are very large networks of “smart” devices (possessing sensing, communication and computation capabilities), that control physical entities. Notable applications enlist Smart Cities, Smart Grids, Intelligent Transportation, Sensor Networks, Robotics, and more.
The focus of the Cyberphysical Systems Lab (CPSLab) is to conduct interdisciplinary research across a broad range of topics and applications pertaining to cyberphysical systems such as:
– Big Data: machine learning / data mining
– Distributed optimization
– Wireless networks
– System theory: optimization, estimation, and control
– Signal processing: sparse sampling and online algorithmsAs well as applications in power systems, transportation, cyber security, robotics, and biomedical modeling.
Nick Freris is Professor in the School of Computer Science and Technology at USTC, and Vice Dean of the International College. He received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece, in 2005, and the M.S. degree in Electrical and Computer Engineering, the M.S. degree in Mathematics, and the Ph.D. degree in Electrical and Computer Engineering all from the University of Illinois at Urbana-Champaign (UIUC) in 2007, 2008, and 2010, respectively.
His research lies in Cyberphysical Systems: machine learning, distributed optimization, data mining, wireless networks, control, and signal processing, with applications in sensor networks, transportation, robotics, cyber security, and power systems. Dr. Freris has published over 35 papers in high-profile journals and conferences held by IEEE, ACM and SIAM. He holds three patents and two patent applications. His research has been sponsored by NSF, and was recognized with the USTC Alumni Foundation Innovation Scholar award, the IBM High Value Patent award, two IBM invention achievement awards, and the Gerondelis foundation award.
From 2014 to 2018, Dr. Freris was assistant professor of Electrical and Computer Engineering at New York University Abu Dhabi (NYUAD) and global network assistant professor of Computer Science at NYU Tandon School of Engineering (NYU-Tandon). From 2012 to 2014, he was senior researcher at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. From 2010 to 2012, he was postdoctoral researcher at IBM Research – Zurich, Switzerland.
Dr. Freris is a Senior Member of IEEE, and a member of ACM and SIAM.
Journal Articles
1. S. Jabari, N. Freris and D. Dilip, “Sparse travel time estimation from streaming data.” Transportation Science, 2019, to appear.
2. P. Latafat, N. Freris and P. Patrinos, “A new randomized block-coordinate primal-dual algorithm for distributed optimization.” IEEE Transactions on Automatic Control, vol. 64, no. 10, pp. 4050-4065, 2019.
3. A. Darabseh and N. Freris, “A software-defined control for IoT Cyberphysical Systems.” Journal of Cluster Computing, vol. 22, no. 4, pp. 1107-1122, 2019.
4. M. Vlachos, N. Freris and A. Kyrillidis, “Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain.” International Journal on Very Large Data Bases (VLDB Journal), vol. 24(1), pp. 1-24, 2015.
5. S. Zoumpoulis, M. Vlachos, N. Freris and C. Lucchese, “Right-Protected Data Publishing with Provable Distance-based Mining.” IEEE Transactions on Knowledge and Data Engineering, vol. 26(8), pp. 2014-2028, 2014.
6. A. Zouzias and N. Freris, “Randomized Extended Kaczmarz for Solving Least Squares.” SIAM Journal on Matrix Analysis and Applications, vol. 34(2), pp. 773-793, 2013.
7. N. Freris, C. Hsu, J. Singh and X. Zhu, “Distortion-Aware Scalable Video Streaming to Multinetwork Clients.” IEEE/ACM Transactions on Networking, vol. 21, no. 2, pp. 469-481, 2013.
8. N. Freris, S. Graham and P. R. Kumar, “Fundamental Limits on Synchronizing Clocks over Networks.” IEEE Transactions on Automatic Control, vol. 56, no. 2, pp. 1352-1364, 2011.
9. N. Freris, H. Kowshik and P. R. Kumar, “Fundamentals of large sensor networks: Connectivity, Capacity, Clocks and Computation.” Proceedings of the IEEE, vol. 98, no. 1, pp. 1828-1846, 2010.
Preprints
10. T. Huang, N. Freris, P. R. Kumar and L. Xie, “A Synchrophasor Data-driven Method for Forced Oscillation Localization under Resonance Conditions.” Submitted to IEEE Transactions on Power Systems, 2019. Under review.
Conference Papers
1. W. Li, T. Huang, N. Freris, P. R. Kumar and L. Xie, “Data-driven Localization of Forced Oscillations in Power Systems.” Proceedings of the 9th International Conference on Innovative Smart Grid Technologies (ISGT Asia), pp. 239-243, 2019.
2. H. Wai, N. Freris, A. Nedich and A. Scaglione, “SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.” Proceedings of the 57th IEEE Conference on Decision and Control (CDC), pp. 1751-1756, 2018.
3. M. Smyrnakis, N. Freris and H. Tembine, “Consensus over evolutionary graphs.” Proceedings of the 17th IEEE European Control Conference (ECC), pp. 2218-2223, June 2018.
4. T. Huang, N. Freris, P. R. Kumar and L. Xie, “Localization of forced oscillations in the power grid under resonance conditions.” Proceedings of the 52nd Annual Conference on Information Sciences and Systems (CISS), March 2018.
5. H. Nahas, A. Sirhindi and N. Freris, “A new solution for UWB localization: Online algorithms, implementation and testbed.” Proceedings of the 8th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017), Sep. 2017.
6. A. Darabseh and N. Freris, “A Software Defined Architecture for Cyberphysical Systems.” Proceedings of the 4th IEEE International Conference on Software Defined Systems (SDS 2017), pp. 54-60, May 2017.
7. D. Dilip, N. Freris and S. Jabari, “Sparse estimation of travel time distributions using Gamma kernels.” 96th Transportation Research Board Annual Meeting (TRB’17), Jan. 2017.
8. X. Duan, N. Freris, and P. Cheng, “Secure clock synchronization under collusion attacks.” Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing, pp. 1142-1148, Sep. 2016.9. N. Freris and P. Patrinos, “Distributed computing over encrypted data.” Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing, pp. 1116-1122, Sep. 2016.
10. N. Freris, “Accelerated Compressed Sensing on streaming data.” 4th European Conference on Computational Optimization (EUCCO), Sep. 2016 (invited abstract).
11. P. Sopasakis, N. Freris and P. Patrinos, “Accelerated reconstruction of a compressively sampled data stream.” Proceedings of the 24th European Signal Processing Conference (EUSIPCO’16), pp. 1078-1082, Aug. 2016.
12. A. Darabseh, N. Freris, Y. Jararweh and M. Al-Ayyoub, “SDCache: Software Defined Data Caching Control for Cloud Services.” Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud (FiCloud), pp. 164-169, Aug. 2016.
13. A. Zouzias and N. Freris, “Randomized Gossip Algorithms for Solving Laplacian Systems.” Proceedings of the 14th IEEE European Control Conference (ECC), pp. 1920-1925, July 2015.
14. N. Freris, O. Öçal and M. Vetterli, “Compressed Sensing of streaming data.” Proceedings of the 51st Allerton Conference on Communication, Control and Computing, pp. 1242-1249, Oct. 2013.
15. G. Baechler, N. Freris, F. Quick and R. Crochiere, “Finite rate of innovation based modeling and compression of ECG signals.” Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1252-1256, May 2013.
16. N. Freris and A. Zouzias, “Fast distributed smoothing of relative measurements.” Proceedings of the 51st IEEE Conference on Decision and Control (CDC), pp. 1411-1416, Dec. 2012.
17. A. Zouzias, M. Vlachos and N. Freris, “Unsupervised Sparse Matrix Co-Clustering for Marketing and Sales Intelligence.” Advances in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, vol. 7301, pp. 591-603, May 2012.
18. N. Freris, M. Vlachos and S. Kozat, “Optimal Distance Estimation Between Compressed Data Series.” Proceedings of the SIAM International Conference on Data Mining (SDM12), pp. 343-354, April 2012.
19. N. Freris, M. Vlachos and D. Turaga, “Cluster-Aware Compression with Provable K-means Preservation.” Proceedings of the SIAM International Conference on Data Mining (SDM12), pp. 82-93, April 2012.
20. N. Freris, “Performance bounds for CSMA-based Medium Access Control.” Proceedings of the 50th IEEE Conference on Decision and Control (CDC), pp. 5945-5950, Dec. 2011.
21. N. Freris, C. Hsu, J. Singh and X. Zhu, “Resource allocation for multihomed scalable video streaming to multiple clients.” Proceedings of the IEEE International Symposium on Multimedia (ISM'10), pp. 9-16, Dec. 2010.
22. C. Hsu, N. Freris, J. Singh and X. Zhu, “Rate control and stream adaptation for scalable video streaming over multiple access networks.” Proceedings of the 18th International Packet Video Workshop (PV'10), pp. 33-40, Dec. 2010.
23. N. Freris, V. Borkar and P. R. Kumar, “A model-based approach to clock synchronization.” Proceedings of the 48th IEEE Conference on Decision and Control (CDC), pp. 5744-5749, Dec. 2009.
24. R. McCabe, N. Freris and P. R. Kumar, “Controlled Random Access MAC for Network Utility Maximization in Wireless Networks.” Proceedings of the 47th IEEE Conference on Decision and Control (CDC), pp. 2350-2355, Dec. 2008.
25. N. Freris and P. R. Kumar, “Fundamental Limits on Synchronization of Affine Clocks in Networks.” Proceedings of the 46th IEEE Conference on Decision and Control (CDC), pp. 921-926, Dec. 2007.
Technical Reports
1. N. Freris, O. Öçal and M. Vetterli, “Recursive Compressed Sensing,” 2013.
2. N. Freris, V. Borkar and P. R. Kumar, “Model-based clock synchronization protocol for wireless sensor networks,” 2013.
Patents
Granted
1. N. Freris, O. Öçal and M. Vetterli, “Method for compressed sensing of streaming data and apparatus for performing the same.” JP6495292B2, CN105531934B, 2019.
2. N. Freris, M. Vlachos and F. Fusco “Method and device for data mining on compressed data vectors.” CN104335176B, 2017.
3. C. Hsu, N. Freris, J. Singh and X. Zhu, “Distortion-aware multihomed scalable video streaming to multiple clients.” US8793391B2, 2014.
Applications
4. S. Jabari, N. Freris and D. Dilip, “Systems and methods for sparse travel time estimation.” US20180232650A1, 2018.
5. N. Freris and M. Vlachos, “Compression of data partitioned into clusters.” US 20130031063A1, 2013.
Theses
1. N. Freris, “Wireless Networks: Model and Optimization based approaches to Clock Synchronization, Random Access MAC and Video Streaming.” PhD dissertation, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Aug. 2010.
2. N. Freris, “Fundamental limits on network clock synchronization.” MS thesis, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Dec. 2007.
3. N. Freris, “Parameter estimation of a new insulin-glucose model.” Diploma thesis, Electrical and Computer Engineering, National Technical University of Athens, July 2005 (in Greek).
Keynote/Plenary talks
2019 “Learning in Cyberphysical Systems,” International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC 2019), Sanya, China, Dec. 19-21, 2019
“Learning in Cyberphysical Systems,” International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI2019), Taiyuan, China, Nov. 8-10, 2019
2017 “Exact data mining from inexact data.” International Conference on Big Data Analysis and Data Mining, Paris, France, Sep. 7-8, 2017
Invited Seminars
2019 IET-CSR Workshop on Advances in Cyber-Physical Systems & RoboticsIEEE Sustainable Power & Energy Conference (iSPEC19)—Panel on Emerging Technologies
2018 Zhejiang University, University of Science and Technology of China, Chinese University of Hong Kong (Shenzhen), KTH;
2017 Arizona State University, Texas A&M University, National Technical University of Athens, NYU-Tandon School of Engineering;
2016 UC Berkeley, KU Leuven;
2015 Tsinghua University, Zhejiang University, Khalifa University, Masdar Institute;
2014 IMT-Lucca, Qualcomm, IBM Research;
2013 EPFL, ETH, Texas A&M University, Univ. of Illinois at Urbana-Champaign
Professional Memberships
IEEE (Senior member), ACM, SIAM
Editorial
Guest Editor: Special Issue on “Distributed Control and Optimization with Resource-Constrained Networked Systems,” Elsevier SI in Neurocomputing, Dec. 2017
Conference activities
2020 6th International Conference on Big Data Computing and Communications (BigCom), Chania, Greece (TPC chair)
15th International Conference on Green, Pervasive and Cloud Computing (GPC2020), Xi’an, China (TPC member)
2019 5th International Conference on Big Data Computing and Communications (BigCom), Qingdao, China (Panel discussion member & TPC co-chair)
2018 1st International Symposium on Intelligent Robots: Autonomy and Vision (IRAV), Abu Dhabi (co-organizer)
2017 4th International Conference on Big Data Analysis and Data Mining, Paris, France (moderator)
2016 54th Allerton Conference on Communication, Control, and Computing (special session co-chair)2nd NYUAD Transportation Symposium (co-organizer)
4th European Conference on Computational Optimization (special session chair)
1st NYUAD Transportation Symposium (co-organizer)
2015 24th International Joint Conference on Artificial Intelligence (TPC member)
2013 1st FRI workshop at EPFL (general chair)
2008 4th CSL Student Conference (general chair)
Reviewing
IEEE: Transactions: Automatic Control, Information Theory, Networking, Signal Processing, Control of Network Systems, Control of Sensor Networks, Systems, Man and Cybernetics, Industrial Informatics, Circuits & Systems
Letters: Control Systems, Communications, Signal Processing
Conferences: CDC, ACC, ECC, ICASSP, ICRA, INFOCOM
Elsevier: Journals: Automatica, Annual Reviews in Control, Systems & Control Letters, Computer Communications, Ad Hoc Networks, Transportation Policy
Springer: Journals: VLDBJ, BIT Numerical Mathematics, Numerische Mathematik, Supercomputing; Conference: VLDB
ACM: Journal: Transactions on Networking; Conference: KDD
SIAM: Journals: SIOPT, SIMAX; Conference: SDM
AMS: Mathematics of Computation
Other: Conferences: IFAC, IJCAI, Allerton
2019 USTC Alumni Foundation Innovation Scholar award (中国科大新创校友基金会“新创学者奖”）
2016 IEEE Senior Member
2014 IBM High Value Patent award
2012 SDM travel award
2011 IBM Invention Achievement award
2010 Gerondelis Foundation Scholarship
2008 Vodaphone graduate fellowship
2001-2004 Papakyriakopoulos award; Tziafetas award; Scholarship from the Greek National Scholarship Foundation