Ming Xiao

(A). Research interest:

1. Wireless Communications

          New generation mobile networks

           MillimeterWave/TeraHertz Communications; IoT;

           Intelligent Reconfigurable Surfaces and Cell-Free Massive MIMO;

           NOMA；

           Wireless Caching；Secure Communications; Industrial Communications, URLLC.

2. Network and Channel Coding; Channel Codes (Fountain codes); Distributed Storage Systems; Coding for fog computing; Coding for Machine Learning;

3. Machine Learning, especially Neural Networks, Distributed Learning, AI for wireless networks and smart grids;

List of Publications (By reverse chronologic order)

List of Publication (By research Area).

Listed as world top 2% researcher by Stanford University research (or can see here for 2020, 2021, 2022, 2023)

Listed as "Highly ranked scholar" by ScholarGPS.

(B).Research Projects.

My reseach is mainly funded by Swedish Research Council (VR), FORMAS, Swedish Energy Agency, STINT, EU MSCA (Horizon Europe, H2020), SSF, KTH digitfuture center and directly funds from industries.  Selected Projects can be found here.

Selected On-going projects:

1  PI, "Coding for Large-scale Distribtued Machine Learning", Swedish Research Council (VR), 2022--2025.

2  Co-PI, "6G Channel Coding", EU, Horizon Europe, MSCA Fellow (as the co-supervisor), 2022-2024.

3 PI, “Intelligent Energy Management in Smart Community with Distributed Machine Learning”, FORMAS, 2021—2025.

4. PI, "Efficient and Secure Distributed Machine Learning with Gradient Descend", STINT, 2020--2025.

5. "Predicting chemotherapy sensitivity using graph neural networks based on deep mutational scanning ", WASP-DDLS joint program, 2023--2025.

6. Co-PI (KTH PI),"Secured and Intelligent Massive Machine-to-Machine Communication for 6G", EU Horizon Europe, MSCA DN 2022--2026

7. PI, "Intelligent Joint Radar Communications with Millimeter Wave Communicatioins," KTH-NTU International Collaboration Funding, 2022-2026.

8. PI (Coordinator), "ASCENT: Autonomous Vehicular Edge Computing and Networking for Intelligent Transportation",  EU Horizon Europe, MSCA SE, 2022--2026.
9. Co-PI (KTH PI), "COVER: COOPERATIVE AND INTELLIGENT UNMANNED AERIAL VEHICLES FOR EMERGENCY RESPONSE APPLICATIONS",  EU Horizon Europe, MSCA SE, 2022--2026.

10. PI, "Multi-Dimension Resources Optimization for 6G IoT Net with Generative Artificial Intelligence", VINNOVA, 2024--2026.

11. PI, "Integrating Large Artificial Intelligence Models into 6G Mobile Networks", VINNOVA, 2024--2027.

 

(C).Teaching

     Since 2020, I have taught following courses

    (1). Project courses in information engineering (EQ2443), in communications (EQ2444) and in multimedia (EQ2445).

    (2). Data Science and Machine learning (lectures on graph model and/or distributed learning)

           Please see my lecture on federated learning: slides and video.

    (3). Emerging Information Technologies for Industrial Digitalization (EQ2855/FEO3290).

    (4). Seminar Courses in Network and Information Engineering (EQ2461).

    (5). I am also an ACM distinguished Speaker.

(D):Department/School Duty:

I am currently Master thesis coordinator for the department of intelligent systems.

(E).Supervision:

Proudly to work with following team members:

PostDoc Fellow

Antoine Honore, Ph.D from KTH (As main advisor)

Nan Qi, Ph.D from NorthWest University (as main Advisor)

Yulan Gao, Ph.D from UESTC (as main advisor)

Mahyar Shirvani, Ph.D from University of Sydney, 2023--2025, (as Co-advisor; Main advisor: Mikael Skoglund)

Tianzhi Li, (as co-advisor; Main advisor: Lihui Wang)

Chengxi Li, Ph.D from Tsinghua University, 2024--, (as Co-advisor; Main advisor: Mikael Skoglund)

Ph.D. students as the main supervisor

          Sicong Ye,  Multi-antenna for 6G Mobile (Co-supervisor, Mats Bengsston)

          Yusen Wang, Machine learning for Renewable Energy

          Jeannie He, Distribtued Machine Learning (co-supervisor Mikael Skoglund)

          Haoyun Li, Integrated Sensing and Communications (co-supervisor Mikael Skoglund)

           Yingzhuo Sun, Digital Twin based Communications (Co-supervisor, Mats Bengsston).

           Jingwen Fu, Communications based on large language model (co-supervisor, Mikael Skoglund)

Ph.D. students as the co-supervisor

         Shudi Weng, (Main Supervisor, Mikael Skoglund)

         Afsaneh Benhangi, (Main Suprisor, Emil Björnson)

 

Former Members:

Former Postdoc or Research Fellow as main advisor

           Zheng Ma, 2019--2021, European MSCA Fellow, now at SWJTU, China

           Jing Yue,   2017-2019, now at Ericsson, Kista.

           Dengsheng Lin, 2011-2012, Now at UESTC

           Deyou Zhang, Ph.D from Univerisity of Sydney, 2021-2024. Now at BUAA,  China

Former Ph.D students as the main supervisor

          Jin Huang, (2017-2023), Machine Learning Theory.

         Wanlu Lei, (2018-2022), Now at Ericsson, USA. (co-supervisor Mikael Skoglund)

          Hao Chen, (2018-2022), Now at Mobile Operator, Stockholm. (co-supervisor Mikael Skoglund)

          Shaocheng Huang, (2016-2020), Now at Research Institute, China.

          Yu Ye,  (2015-2020), Now at Huawei, China. (co-supervisor Mikael Skoglund)

          Guang Yang (2013-2018), Now at Ericsson, Kista

          Majid Gerami (2011-2016), Now at Ericsson, Lund. (co-supervisor Mikael Skoglund)

     Past Ph.D students as a co-supervisor

      Jinfeng Du (main supervisor, Mikael Skoglund)

      Iqbal Hussain (main supervisor, Lars Rasmussen)

      Zhao Wang (main supervisor, Mikael Skoglund)

      Nan Li (main supervisor, Lars Rasmussen)

 

(F). Selected Recent Publication:

[1]M. Xiao,S. Mumtaz, Y. Huang, L. Dai, Y. Li, M. Matthaiou, G. Karagiannidis, E. Bjronson, K. Yang, Chih-lin I. and A. Ghosh "Millimeter Wave Communications for Future Mobile Networks,"IEEE Journal on Selected Areas in Communications (JSAC).vol. 35, no. 9, pp., 1909-1935, September 2017.(Web of Science, Highly Cited, Hot Paper in the field)

[2] Z. Zhang, Z. Ma,M. Xiao, Z. Ding and P. Fan, "Full-Duplex Device-to-Device Aided Cooperative Non-Orthogonal Multiple Access,"IEEE Transactions on Vehicular Technologies,  Vol. 66, No. 5, pp. 4467-4471, May 2017.(Web of Science, Highly Cited)

[3] L. Zhang, J. Liu,M. Xiao, G. Wu, S. Li and Y. Liang "Performance Analysis and Optimization in Downlink NOMA Systems with Cooperative Full-duplex Relaying,"IEEE Journal on Selected Areas in Communications (JSAC)  -- Series on Non-Orthogonal Multiple Access for 5G Systems, vol. 35, no. 10, pp. 2398-2412, Oct. 2017.(Web of Science, Highly Cited)

[4] L. Zhang, Y. C. Liang andM. Xiao, "Spectrum Sharing for Internet of Things: A Survey,"IEEE Wireless Communications Magazine, Vol. 26, no. 3, pp. 132-139, June 2019.(Web of Science, Highly Cited)

[5] P. Yang, Y. Xiao,M. Xiao, and S. Li, "6G Wireless Communications: Vision and Potential Techniques,"IEEE Network Magazine， vol. 33, no. 4, pp. 70-75, July/August, 2019.(Web of Science, Highly Cited).

[6] Z. Zhang, Y. Xiao, Z. Ma,M. Xiao, Z. Ding, X. Lei, G. Karagiannidis and P. Fan, "6G Wireless Networks: Vision, Requirements, Architecture and Key Technologies,"IEEE Vehicular Technology Magazine, Vol. 14, no. 3, pp. 28-41, September 2019.(Web of Science, Highly Cited, IEEE Vehicular Technologies Society, Best Magazine Paper Award, 2023).

[7] L. Zhang,M. Xiao, G. Wu, M. Alam and S. Li "A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks,"IEEE Wireless Communications Magazine, vol. 24, no. 5, pp. 44-51, Oct. 2017,(Web of Science, Highly Cited).

[8] Y. Ye, S. Huang,M. Xiao and Z. Ma, "Decentralized Consensus Optimization Based on Parallel Random Walk,"IEEE Communications Letters, vol. 24, no. 2, pp. 391-395, Feb. 2020..

[9] Z. Ma,M. Xiao, Y. Xiao, Z. Pang, H. V. Poor and B. Vucetic, "High-reliability and Low-latency Communications for Internet of Things: Challenges, Fundaments and Enabling Technologies,"IEEE Internet of Things Journal, Vol. 6, No. 5, 7946-7970, October 2019.

[10] J. Yue andM. Xiao, "Coded Decentralized Learning with Gradient Descent for Big Data Analytics",IEEE Communications Letters ,  vol. 24, no. 2, pp. 362-366, Feb. 2020.

[11] P. Yang, Y. Xiao,M. Xiao, Y. L. Guan and W. Xiang "'Adaptive Spatial Modulation MIMO Based on Machine Learning," IEEE Journal on Selected Areas in Communications (JSAC), , vol. 37, no. 9, pp. 2117-2131, September 2019.

[12]M. Xiao, and M. Skoglund, "Coding for Large-scale Distributed Machine Learning,"MDPI, Entropy (InvitedPaper), vol. 24 (9), September, 2022.

[13]J. Yin, Y. Xiao, Q. Pei, L. Liu,M. Xiao and C. Wu,  "SMARTDID: A Novel Privacy-preserving Identity based on Blockchain for IoT" IEEE Internet of Things Journal, Vol. 10, no. 8, pp. 6718--6732, April 2023.(Web of Science, Clarivate, Highly Cited)

[14] Y. Ju, Y. Chen, Z. Cao,  L. Liu; Q. Pei;M. Xiao, K. Ota, M.; Dong, V. Leung,  "Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 5, pp. 5555--5569, May 2023.(Web of Science, Clarivate, Highly Cited).

(G). Professional Activities:

1. Journal Editor

• Editor for IEEE Transactions on Wireless Communications (2018 ---)
• Area Editor for IEEE Open Journal of the Communication Society (2019 ---)
• Editor for IEEE Transactions on Communications (2012 ---2017)
• Editor for IEEE JSAC, SI, "Millimeter Wave communications for future mobile networks", (2016 -- 2017)
• Senior Editor for IEEE Communications Letters (2015 --- 2019 )
• Editor for IEEE Wireless Communications Letters (2012--2016).

2. TPC Co-chair

• TPC Co-Chair, VTC Fall Track "Cooperative Communications, Distributed MIMO and Relaying"

• TPC Co-Chair, Communications Networks and Systems, IEEE ICCCAS 2013

(H). Others

• IEEE Senior Member;
• Ph.D thesis examiner; Regular Reviewers; TPC member;