Masaki Ogura
Curriculum Vitae
Sunday 15th September, 2024
School of Economics, Office 415,
1-2-1 Kagamiyama, Higashi-Hiroshima,
Hiroshima 739-8525, Japanoguram@hiroshima-u.ac.jp
https://masakiogura.com
AREAS OF EXPERTISE
Control theory, network science, optimization, stochastic processes, biological physics
EDUCATION• Ph.D. in Mathematics, Texas Tech University. 2014
• M.Sc. in Informatics, Kyoto University. 2009
• B.Eng., Kyoto University. 2007
PROFESSIONAL APPOINTMENTS• Professor, Graduate School of Advanced Science and Engineering, Hiroshima University, Japan.
Apr 2024–present• Visiting Professor, Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, Japan. Apr 2024–present• Associate Professor, Department of Bioinformatic Engineering, Graduate School of Information
Science and Technology, Osaka University, Japan. Nov 2019–Mar 2024
• Visiting Associate Professor, Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Japan. Apr 2020–Mar 2021
• Assistant Professor, Graduate School of Information Science, Nara Institute of Science and Technology, Japan. Mar 2017–Oct 2019
• Postdoctoral Researcher, Department of Electrical and Systems Engineering, University of Pennsylvania, Oct 2014–Feb 2017
SHORT TERM VISITS• Department of Mechanical Engineering, University of Hong Kong. 2018, 2019
• ICTEAM Institute, Université catholique de Louvain, Belgium. 2013
SELECTED AWARDS AND HONORS• Runner-up of the 2019 Best Paper Award, IEEE Transactions on Network Science and Engineering.
2019• Summer Dissertation/Thesis Research Award, Texas Tech University. 2014
• Cash Family Endowed Fellowship, Texas Tech University. 20131

• Best Paper Award, The Society of Instrument and Control Engineers. 2012
PUBLICATIONSBook Chapters[1] K. Sakurama, K. Kashima, T. Ikeda, N. Hayashi, K. Hoshino, M. Ogura, and C. Zhao,“System-Control-Based Approach to Car-Sharing Systems,” in Advanced Mathematical Science for
Mobility Society. Springer Singapore, 2024, pp. 127–171.
[2] V. M. Preciado, M. Zargham, C. Nowzari, S. Han, M. Ogura, A. Jadbabaie, and G. J. Pappas,“Bio-inspired Framework for Allocation of Protection Resources in Cyber-Physical Networks,” in
Principles of Cyber-Physical Systems. Cambridge University Press, 2020, pp. 293–322.
[3] M. Ogura and V. M. Preciado, “Optimal Containment of Epidemics in Temporal and Adaptive
Networks,” in Temporal Networks Epidemiology. Springer, 2017, pp. 241–266.
[4] M. Ogura and C. F. Martin, “Linear Switching Systems and Random Products of Matrices,” in Mathematical System Theory – Festschrift in Honor of Uwe Helmke on the Occasion of his Sixtieth Birthday,
K. Hüper and J. Trumpf, Eds. CreateSpace, 2013, pp. 291–300.
Refereed Journal Articles[1] R. Liu, M. Ogura, E. F. Dos Reis, and N. Masuda, “Effects of concurrency on epidemic spreadingin Markovian temporal networks,” European Journal of Applied Mathematics, vol. 35, no. 3, pp.
430–461, 2024.
[2] A. Li, M. Ogura, and N. Wakamiya, “Swarm shepherding using bearing-only measurements,” Philosophical Transactions of the Royal Society A (accepted for publication), 2024.
[3] W. Imahayashi, Y. Tsunoda, and M. Ogura, “Route design in sheepdog system–traveling salesman
problem formulation and evolutionary computation solution–,” Advanced Robotics, vol. 38, no.
9-10, pp. 632–646, 2024.
[4] J. J. R. Liu, M. Ogura, Q. Li, and J. Lam, “Learning-based stabilization of Markov jump linear
systems,” Neurocomputing, vol. 584, p. 127618, 2024.
[5] J. Aizawa, M. Ogura, M. Shimono, and N. Wakamiya, “Firing pattern manipulation in neuronal
networks by deep unfolding-based model predictive control,” IET Control Theory & Applications,2024.
[6] C. Zhao, B. Zhu, M. Ogura, and J. Lam, “Probability rate optimization of positive Markov jump
linear systems via DC programming,” Asian Journal of Control (accepted for publication), 2024.
[7] M. Ogura and C. F. Martin, “Mean escape time of switched Riccati differential equations,” Journalof the Franklin Institute, vol. 360, no. 10, pp. 6827–6845, 2023.
[8] C. Zhao, K. Sakurama, and M. Ogura, “Optimization of buffer networks via DC programming,”
IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 2, pp. 606–610, 2023.

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[9] M. Ogura and N. Wakamiya, “Reduced-order model predictive control of a fish schooling model,”Nonlinear Analysis: Hybrid Systems, vol. 49, p. 101342, 2023.
[10] C. Zhao, B. Zhu, M. Ogura, and J. Lam, “Parameterized synthesis of discrete-time positive
linear systems: A geometric programming perspective,” IEEE Control Systems Letters, vol. 7, pp.
2551–2556, 2023.
[11] X. Gong, M. Ogura, J. Shen, T. Huang, and Y. Cui, “Optimal epidemics policy seeking on
networks-of-networks under malicious attacks by geometric programming,” IEEE Transactions on
Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3845–3857, 2023.
[12] M. Ogura and C. Nowzari, “Special issue: modeling, analysis, and control of epidemics innetworks,” Mathematical Biosciences and Engineering, vol. 20, no. 5, pp. 8446–8447, 2023.
[13] A. Li, M. Ogura, and N. Wakamiya, “Communication-free shepherding navigation with multiple
steering agents,” Frontiers in Control Engineering, vol. 4, 2023.
[14] A. Fujioka, M. Ogura, and N. Wakamiya, “Shepherding algorithm for heterogeneous flock withmodel-based discrimination,” Advanced Robotics, vol. 37, no. 1-2, pp. 99–114, 2023.
[15] B. Zhu, J. Lam, and M. Ogura, “Log-log convexity of an optimal control problem for positive
linear systems,” Automatica, vol. 146, p. 110553, 2022.
[16] M. Nagahara, M. Ogura, and Y. Yamamoto, “Iterative greedy LMI for sparse control,” IEEE Control
Systems Letters, vol. 6, pp. 986–991, 2022.
[17] M. Kumazaki, M. Ogura, and T. Tachibana, “Dynamic service chain construction based on model
predictive control in NFV environments,” IEICE Transactions on Communications, vol. E105-B,
no. 4, pp. 399–410, 2022.
[18] R. Himo, M. Ogura, and N. Wakamiya, “Iterative algorithm for shepherding unresponsive sheep,”
Mathematical Biosciences and Engineering, vol. 19, no. 4, pp. 3509–3525, 2022.
[19] M. Kishida* and M. Ogura*, “Temporal deep unfolding for constrained nonlinear stochastic
optimal controls,” IET Control Theory & Applications, vol. 16, no. 2, pp. 139–150, 2022. (*equal
contribution)[20] T. Kimura and M. Ogura, “Distributed 3D deployment of aerial base stations for on-demandcommunication,” IEEE Transactions on Wireless Communications, vol. 20, no. 12, pp. 7728–7742,
2021.
[21] K. Hashimoto, Y. Onoue, M. Ogura, and T. Ushio, “Event-triggered control for mitigating SIS
spreading processes,” Annual Reviews in Control, vol. 52, pp. 479–494, 2021.
[22] K. Sugimoto, T. Aihara, M. Ogura, and K. Hanada, “Gain scheduling for sampled-data state
estimation over lossy networks,” Transactions of the Institute of Systems, Control and Information
Engineers, vol. 34, no. 11, pp. 287–293, 2021.
[23] M. Nagahara, B. Krishnamachari, M. Ogura, A. Ortega, Y. Tanaka, Y. Ushifusa, and T. W. Valente,“Control, intervention, and behavioral economics over human social networks against COVID-19,”
Advanced Robotics, vol. 35, no. 11, pp. 733–739, 2021.

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[24] C. Zhao, M. Ogura, M. Kishida, and A. Yassine, “Optimal resource allocation for dynamic productdevelopment process via convex optimization,” Research in Engineering Design, vol. 32, no. 1, pp.
71–90, 2021.
[25] X. Chen, M. Ogura, and V. M. Preciado, “SDP-Based moment closure for epidemic processes on
networks,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2850–2865,
2020.
[26] M. Ogura, M. Kishida, and J. Lam, “Geometric programming for optimal positive linear systems,”
IEEE Transactions on Automatic Control, vol. 65, no. 11, pp. 4648–4663, 2020.
[27] W. Mei, C. Zhao, M. Ogura, and K. Sugimoto, “Mixed H2 /H∞ control of delayed Markov jump
linear systems,” IET Control Theory Applications, vol. 14, no. 15, pp. 2076–2083, 2020.
[28] C. Zhao, M. Ogura, and K. Sugimoto, “Stability optimization of positive semi-Markov jump linear
systems via convex optimization,” SICE Journal of Control, Measurement, and System Integration,
vol. 13, no. 5, pp. 233–239, 2020.
[29] M. Kishida*, M. Ogura*, Y. Yoshida, and T. Wadayama, “Deep learning-based average consensus,”
IEEE Access, vol. 8, pp. 142 404–142 412, 2020. (*equal contribution)[30] X. Chen, M. Ogura, and V. M. Preciado, “Bounds on the spectral radius of digraphs from motif
counts,” SIAM Journal on Matrix Analysis and Applications, vol. 41, no. 2, pp. 525–553, 2020.
[31] N. Masuda, V. M. Preciado, and M. Ogura, “Analysis of the susceptible-infected-susceptible
epidemic dynamics in networks via the non-backtracking matrix,” IMA Journal of Applied
Mathematics, vol. 85, no. 2, pp. 214–230, 2020.
[32] M. Ogura and V. M. Preciado, “Stability of SIS spreading processes in networks with nonMarkovian transmission and recovery,” IEEE Transactions on Control of Network Systems, vol. 7,
no. 1, pp. 349–359, 2020.
[33] M. Ogura, W. Mei, and K. Sugimoto, “Synergistic effects in networked epidemic spreading
dynamics,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 3, pp. 496–500,
2020.
[34] Y. Abe, M. Ogura, H. Tsuji, A. Miura, and S. Adachi, “Resource and network management
framework for a large-scale satellite communications system,” IEICE Transactions on Fundamentals
of Electronics, Communications and Computer Sciences, vol. E103, no. 2, pp. 492–501, 2020.
Telecom System Technology Student Award, Telecommunication Advancement Foundation.
[35] M. Ogura, J. Harada, M. Kishida, and A. Yassine, “Resource optimization of product development
projects with time-varying dependency structure,” Research in Engineering Design, vol. 30, no. 3,
pp. 435–452, 2019.
[36] M. Ogura, V. M. Preciado, and N. Masuda, “Optimal containment of epidemics over temporal
activity-driven networks,” SIAM Journal on Applied Mathematics, vol. 79, no. 3, pp. 986–1006,
2019.
[37] W. Mei and M. Ogura, “Kronecker weights for instability analysis of Markov jump linear systems,”
IET Control Theory & Applications, vol. 13, no. 3, pp. 360–366, 2019.

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[38] M. Wakaiki, M. Ogura, and J. P. Hespanha, “LQ-optimal sampled-data control under stochastic
delays: gridding approach for stabilizability and detectability,” SIAM Journal on Control andOptimization, vol. 56, no. 4, pp. 2634–2661, 2018.
[39] M. Ogura, A. Cetinkaya, T. Hayakawa, and V. M. Preciado, “State feedback control of Markov
jump linear systems with hidden-Markov mode observation,” Automatica, vol. 89, pp. 65–72,
2018.
[40] M. Ogura and V. M. Preciado, “Second-order moment-closure for tighter epidemic thresholds,”
Systems & Control Letters, vol. 113, pp. 59–64, 2018.
[41] M. Ogura and V. M. Preciado, “Optimal design of switched networks of positive linear systems
via geometric programming,” IEEE Transactions on Control of Network Systems, vol. 4, no. 2, pp.
213–222, 2017.
[42] M. Ogura, M. Wakaiki, H. Rubin, and V. M. Preciado, “Delayed bet-hedging resilience strategies
under environmental fluctuations,” Physical Review E, vol. 95, p. 052404, 2017.
[43] M. Ogura, V. M. Preciado, and R. M. Jungers, “Efficient method for computing lower bounds on
the p-radius of switched linear systems,” Systems & Control Letters, vol. 94, pp. 159–164, 2016.
[44] M. Ogura and V. M. Preciado, “Epidemic processes over adaptive state-dependent networks,”
Physical Review E, vol. 93, p. 062316, 2016.
[45] M. Ogura and V. M. Preciado, “Stability of Markov regenerative switched linear systems,”
Automatica, vol. 69, pp. 169–175, 2016.
[46] M. Ogura and V. M. Preciado, “Stability of spreading processes over time-varying large-scale
networks,” IEEE Transactions on Network Science and Engineering, vol. 3, no. 1, pp. 44–57, 2016.
Runner-up of 2019 IEEE TNSE Best Paper Award.
[47] M. Ogura and C. F. Martin, “Stability analysis of linear systems subject to regenerative switchings,”
Systems & Control Letters, vol. 75, pp. 94–100, 2015.
[48] M. Ogura and C. F. Martin, “A limit formula for joint spectral radius with p-radius of probability
distributions,” Linear Algebra and its Applications, vol. 458, pp. 605–625, 2014.
[49] M. Ogura and C. F. Martin, “Stability analysis of positive semi-Markovian jump linear systems
with state resets,” SIAM Journal on Control and Optimization, vol. 52, pp. 1809–1831, 2014.
[50] M. Ogura and C. F. Martin, “Generalized joint spectral radius and stability of switching systems,”
Linear Algebra and its Applications, vol. 439, no. 8, pp. 2222–2239, 2013.
[51] M. Ogura and Y. Yamamoto, “Dissipativity of pseudorational behaviors,” IEEE Transactions on
Automatic Control, vol. 58, no. 4, pp. 823–833, 2013.
[52] M. Nagahara, M. Ogura, and Y. Yamamoto, “H ∞ design of periodically nonuniform interpolationand decimation for non-band-limited signals,” SICE Journal of Control, Measurement, and System
Integration, vol. 4, no. 5, pp. 341–348, 2011. 2012 SICE Best Paper Award.

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Refereed Conference Proceedings[1] W. Imahayashi, T. Tokugawa, K. Koitabashi, Y. Tsunoda, M. Ogura, and S. Muto, “Actual experimentusing mobile robot in sheepdog system -guidance route design using traveling salesman problem-,”in SICE Festival 2024 with Annual Conference (accepted), 2024.
[2] J. Aizawa, M. Ogura, M. Shimono, and N. Wakamiya, “Manipulation of neuronal network firing
patterns using temporal deep unfolding-based MPC,” in 2023 Asia-Pacific Signal and Information
Processing Association Annual Summit and Conference, 2023, pp. 15–21.
[3] Y. Deng, A. Li, M. Ogura, and N. Wakamiya, “Collision-free shepherding control of a single target
within a swarm,” in 2023 IEEE International Conference on Systems, Man, and Cybernetics, 2023,
pp. 5218–5223.
[4] A. Fujioka, M. Ogura, and N. Wakamiya, “Proposal and evaluation of pursuit formations basedon cyclic pursuit dynamics,” in 2023 International Symposium on Nonlinear Theory and its
Applications, 2023, pp. 30–33.
[5] M. Ogura and V. M. Preciado, “Asynchronous temporal interactions promote disparity in
networks,” in 2023 International Symposium on Nonlinear Theory and its Applications, 2023,
p. 25.
[6] A. Fujioka, M. Ogura, and N. Wakamiya, “Shepherding heterogeneous flocks: overview andprospect,” in 22nd IFAC World Congress, 2023, pp. 11 523–11 526.
[7] C. Zhao, X. Gong, Y. Ebihara, and M. Ogura, “Impulse-to-peak optimization of positive linear
systems via DC programming,” in 22nd IFAC World Congress, 2023, pp. 5544–5549.
[8] Y. Deng, A. Li, M. Ogura, and N. Wakamiya, “Collision-free property analysis for the shepherding
swarm,” in SICE Annual Conference 2023, 2023, pp. 1072–1073.
[9] J. Aizawa, M. Ogura, M. Shimono, and N. Wakamiya, “Temporal deep unfolding-based MPC forcontrolling firing patterns of neuronal network,” in 2023 RISP International Workshop on Nonlinear
Circuits, Communications and Signal Processing, 2023.
[10] A. Li, M. Ogura, and N. Wakamiya, “Proposal of a bearing-only shepherding algorithm with limited
sensing capabilities,” in AROB-ISBC-SWARM 2023, 2023, pp. GS34–1.
[11] Y. Deng, M. Ogura, A. Li, and N. Wakamiya, “Shepherding control for separating a single agent
from a swarm,” in 1st IFAC Workshop on Control of Complex Systems, 2022, pp. 217–222.
[12] A. Fujioka, M. Ogura, and N. Wakamiya, “Shepherding algorithm based on variant agent
detection for heterogeneous flock,” in SICE Annual Conference 2022, 2022, pp. 87–91. Finalists of
SICE Annual Conference 2022 Young Author’s Award.
[13] A. Li, M. Ogura, Y. Tsunoda, and N. Wakamiya, “Proposal of farthest-agent targeting algorithmwith indirect chasing,” in SICE Annual Conference 2022, 2022, pp. 92–94.
[14] M. Ogura, K. Kobayashi, and K. Sugimoto, “Static output feedback synthesis of time-delay linear
systems via deep unfolding,” in 17th IFAC Workshop on Time Delay Systems, 2022, pp. 214–215.

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[15] M. Kishida and M. Ogura, “Temporal deep unfolding for nonlinear stochastic optimal control,” in
7th International Conference on Advances in Control & Optimization of Dynamical Systems, 2022,
pp. 908–913.
[16] M. Ogura and N. Wakamiya, “Model predictive control of fish schooling model with reduced-order
prediction model,” in 60th IEEE Conference on Decision and Control, 2021, pp. 4115–4120.
[17] M. Kishida and M. Ogura, “Temporal deep unfolding for nonlinear maximum hands-off control,”in SICE Annual Conference 2021, 2021, pp. 1007–1010.
[18] K. Kobayashi, M. Ogura, T. Kobayashi, and K. Sugimoto, “Deep unfolding-based output feedback
control design for linear systems with input saturation,” in SICE International Symposium on
Control Systems 2021, 2021, pp. 33–39.
[19] M. Kumazaki, M. Ogura, and T. Tachibana, “Service chain construction with efficient VNF sharing
based on model predictive control,” in 2020 International Conference on Emerging Technologies forCommunications, 2020, pp. M1–5.
[20] K. Sugimoto, M. Ogura, K. Hanada, and T. Aihara, “Sampled-data suboptimal state estimation
over lossy networks,” in 52nd ISCIE International Symposium on Stochastic Systems Theory and Its
Applications, 2020, pp. 79–83.
[21] C. Zhao, M. Ogura, and K. Sugimoto, “Finite-time control of discrete-time positive linear systems
via convex optimization,” in SICE Annual Conference 2020, 2020, pp. 1230–1235.
[22] Y. Abe, M. Ogura, H. Tsuji, A. Miura, and S. Adachi, “Resource and network management forsatellite communications systems: a chance-constrained approach,” in 21st IFAC World Congress,
2020, pp. 3304–3309.
[23] T. Kimura and M. Ogura, “Distributed collaborative 3D-deployment of UAV base stations foron-demand coverage,” in IEEE International Conference on Computer Communications 2020, 2020,
pp. 1748–1757. Acceptance rate 19.8 percent.
[24] M. Aida, C. Takano, and M. Ogura, “On the fundamental equation of user dynamics and thestructure of online social networks,” in NetSci-X 2020, 2020, pp. 155–170.
[25] M. Ogura, M. Kishida, and A. Yassine, “Optimizing product development projects underasynchronous and aperiodic system-local interactions,” in 21st International DSM Conference,
2019, pp. 97–106.
[26] M. Ogura, M. Kishida, K. Hayashi, and J. Lam, “Geometric programming for optimizing stabilityof distributed power control algorithms,” in SICE Annual Conference 2019, 2019, pp. 679–680.
[27] M. Ogura, W. Mei, and K. Sugimoto, “Upper-bounding dynamics on networked synergistic
susceptible-infected-susceptible model,” in SICE Annual Conference 2019, 2019, pp. 1430–1431.
[28] M. Ogura, M. Kishida, K. Hayashi, and J. Lam, “Resource allocation for robust stabilization of
Foschini-Miljanic Algorithm,” in 2019 American Control Conference, 2019, pp. 4030–4035.
[29] M. Kumazaki, M. Ogura, and T. Tachibana, “VNF management with model predictive control for
multiple service chains,” in IEEE International Conference on Consumer Electronics – Taiwan, 2019.

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[30] T. Tadenuma, M. Ogura, and K. Sugimoto, “Sampled-data state observation over lossy networks
under round-robin scheduling,” in 5th IFAC Conference on Analysis and Control of Chaotic Systems,
2018, pp. 197–202. Young Author Award Finalist.
[31] W. Mei and M. Ogura, “Instability analysis of Markov jump linear systems by spectral optimization,”in SICE Annual Conference 2018, 2018, pp. 419–422.
[32] M. Ogura, J. Wan, and S. Kasahara, “Model predictive control for energy-efficient operation ofdata centers with cold aisle containments,” in 6th IFAC Conference on Nonlinear Model Predictive
Control, 2018, pp. 241–246.
[33] M. Ogura and J. Harada, “Resource allocation for containing epidemics from temporal network
data,” in 23rd International Symposium on Mathematical Theory of Networks and Systems, 2018,
pp. 537–542.
[34] M. Ogura, J. Tagawa, and N. Masuda, “Distributed agreement on activity driven networks,” in2018 American Control Conference, 2018, pp. 4147–4152.
[35] X. Chen, M. Ogura, K. R. Ghusinga, A. Singh, and V. M. Preciado, “Semidefinite bounds for
moment dynamics: Application to epidemics on networks,” in 56th IEEE Conference on Decision
and Control, 2017, pp. 2448–2454.
[36] M. Wakaiki, M. Ogura, and J. P. Hespanha, “Linear quadratic control for sampled-data systems
with stochastic delays,” in 2017 American Control Conference, 2017, pp. 1978–1983.
[37] M. Ogura and V. M. Preciado, “Katz centrality of Markovian temporal networks: analysis andoptimization,” in 2017 American Control Conference, 2017, pp. 5001–5006.
[38] M. Ogura, M. Wakaiki, and V. M. Preciado, “Dynamic analysis of bet-hedging strategies as a protection mechanism against environmental fluctuations,” in 55th IEEE Conference on Decision andControl, 2016, pp. 4178–4183.
[39] M. Ogura and V. M. Preciado, “Efficient containment of exact SIR Markovian processes on networks,” in 55th IEEE Conference on Decision and Control, 2016, pp. 967–972. 29.
[40] M. Wakaiki, M. Ogura, and J. P. Hespanha, “Robust stability under asynchronous sensing andcontrol,” in 55th IEEE Conference on Decision and Control, 2016, pp. 5962–5967.
[41] M. Ogura, A. Cetinkaya, T. Hayakawa, and V. M. Preciado, “Efficient criteria for stability oflarge-scale networked control systems,” in 6th IFAC Workshop on Distributed Estimation andControl in Networked Systems, 2016, pp. 13–18.
[42] V. M. Preciado and M. Ogura, “Structural analysis of spreading processes from ego-nets,” in 6th
IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2016, pp. 345–350.
[43] M. Ogura, M. Wakaiki, J. P. Hespanha, and V. M. Preciado, “L 2 -gain analysis of regenerative
switched linear systems under sampled-data state-feedback control,” in 2016 American Control
Conference, 2016, pp. 709–714.
[44] M. Ogura and V. M. Preciado, “Optimal design of networks of positive linear systems understochastic uncertainty,” in 2016 American Control Conference, 2016, pp. 2930–2935.

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[45] M. Ogura and V. M. Preciado, “Spreading processes over socio-technical networks with phase-typetransmissions,” in 54th IEEE Conference on Decision and Control, 2015, pp. 3548–3553.
[46] M. Ogura and V. M. Preciado, “Cost-optimal switching protection strategy in adaptive networks,”
in 54th IEEE Conference on Decision and Control, 2015, pp. 3574–3579.
[47] C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas, “A general class of spreading processes
with non-Markovian dynamics,” in 54th IEEE Conference on Decision and Control, 2015, pp.
5073–5078.
[48] M. Ogura, M. Nagahara, and V. M. Preciado, “L 1 -optimal disturbance rejection for disease spreadover time-varying networks,” in SWARM 2015: The First International Symposium on Swarm Behavior and Bio-Inspired Robotics, 2015, pp. 377–378.
[49] C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas, “Optimal resource allocation forcontaining epidemics on time-varying networks,” in 49th Asilomar Conference on Signals, Systems
and Computers, 2015, pp. 1333–1337.
[50] M. Ogura and V. M. Preciado, “Disease spread over randomly switched large-scale networks,” in2015 American Control Conference, 2015, pp. 1782–1787.
[51] M. Ogura, A. Cetinkaya, and V. M. Preciado, “State-feedback stabilization of Markov jump linear
systems with randomly observed Markov states,” in 2015 American Control Conference, 2015, pp.
1764–1769.
[52] M. Ogura and R. M. Jungers, “Efficiently computable lower bounds for the p-radius of switching
linear systems,” in 53rd IEEE Conference on Decision and Control, 2014, pp. 5463–5468.
[53] M. Ogura and C. F. Martin, “Mean stability of continuous-time semi-Markov jump linear positive
systems,” in 2014 American Control Conference, 2014, pp. 3261–3266.
[54] M. Ogura and C. F. Martin, “On the mean stability of a class of switched linear systems,” in 52ndIEEE Conference on Decision and Control, 2013, pp. 97–102.
[55] M. Ogura and C. F. Martin, “Stability of switching systems and generalized joint spectral radius,”
in 2013 European Control Conference, 2013, pp. 3185–3190.
[56] M. Ogura and C. F. Martin, “Stochastic properties of switched Riccati differential equations,” in
51st IEEE Conference on Decision and Control, 2012, pp. 1319–1324.
[57] M. Ogura, Y. Yamamoto, and J. C. Willems, “On the dissipativity of pseudorational behaviors,” in49th IEEE Conference on Decision and Control, 2010, pp. 1737–1742.
[58] Y. Yamamoto, J. C. Willems, and M. Ogura, “Pseudorational behaviors and Bezoutians,” in 19thInternational Symposium on Mathematical Theory of Networks and Systems, 2010, pp. 1917–1921.
[59] M. Ogura and Y. Yamamoto, “Dissipativity of pseudorational behaviors,” in 19th International Symposium on Mathematical Theory of Networks and Systems, 2010, pp. 849–853.
[60] M. Ogura and Y. Yamamoto, “Hankel norm computation for pseudorational transfer functions,”in 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control
Conference, 2009, pp. 5502–5507.
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[61] M. Nagahara, M. Ogura, and Y. Yamamoto, “A novel approach to repetitive control via
sampled-data H ∞ filters,” in 7th Asian Control Conference, 2009, pp. 160–165.
[62] M. Nagahara, M. Ogura, and Y. Yamamoto, “Interpolation of nonuniformly decimated signals via
sampled-data H ∞ optimization,” in SICE Annual Conference 2008, 2008, pp. 1151–1154.
[63] M. Ogura, M. Nagahara, and Y. Yamamoto, “Optimal wavelet expansion via sampled-data H ∞control theory,” in SICE Annual Conference 2007, 2007, pp. 1422–1426.
Invited and Hourly Talks[1] “Enhancing Control System Design through Deep Unfolding: A Systematic Approach,” Universityof Hawaii at Manoa, 2023.
[2] “Perspectives on Artificial Intelligence,” 2nd Japanese-Canadian Frontiers of Science (JCFoS)
Symposium, 2023.
[3] “When deep unfolding meets control engineering,” 37th International Technical Conference on
Circuits\Systems, Computers and Communications, 2022.
[4] “Optimization of positive linear systems via geometric programming,” Shenzhen University, 2019.
[5] “Optimization of positive linear systems via geometric programming,” Guandong University of Technology, 2019.
[6] “Synthesis of positive linear systems by geometric programming,” University of Hong Kong, 2019.
[7] “Network epidemiology and control theory,” University of Hong Kong, 2018.
[8] “Analysis and control of spreading processes over complex networks,” Washington State University,
2017.
[9] “Analysis and control of spreading processes over complex networks,” Tokyo University ofAgriculture and Technology, 2016.
[10] “Stability analysis of switched linear systems with non-traditional switching signals,” in GRASP
special seminar, University of Pennsylvania, 2014.
[11] “Mean stability of switched linear systems,” Université Catholique de Louvain, 2013.
TEACHING ACTIVITIESOsaka University• Basic Theory of Bio-networks (2021–present)• Informatics for Engineering Science 1 (2020–present)• Fundamentals of Information and Computer Sciences (2020–present)• Bio-network Engineering (2020–present)
Nara Institute of Science and Technology• Machine Learning and Intelligent Control (Spring 2019)• Advanced Intelligent System Control (Spring 2017, 2018)10

University of Pennsylvania
Co-lecturer:• Convex Optimization in Systems and Control (Fall 2015)
Texas Tech University
Graduate Part-Time Instructor:• Calculus II (Summer 2014, Spring 2014, Spring 2013)• Calculus I (Summer 2013, Fall 2012)• Trigonometry (Fall 2011)• College Algebra (Fall 2013, Spring 2012)
Teaching Assistant:• Advanced Calculus (Summer 2012)• Linear Algebra (Summer 2012)• Higher Mathematics for Engineers and Scientists I (Summer 2011)
Kyoto School of Computer Science
Lecturer:• Control Engineering (Fall 2009, Fall 2008)• Electrical Circuits (Spring 2008)• Data Structures (Spring 2008)• Numerical Analysis (Spring 2010, Spring 2009)
Kyoto University
Teaching Assistant:• Modern Control Theory (Fall 2009, Fall 2008)

PROFESSIONAL SERVICE
Editorial Work
• Associate Editor, IET Control Theory & Applications, 2022–present.
• Associate Editor, Franklin Open, 2022–present.
• Associate Editor, Journal of The Franklin Institute, 2020–present.
• Associate Editor, The 5th IFAC Workshop on Distributed Estimation and Control in Networked
Systems, 2015.
Organization of Conferences and Workshops• International Program Committee Secretary, 8th IFAC Conference on Nonlinear Model Predictive Control, 2024.
• Registration Chair, 10th IFAC Symposium on Robust Control Design, 2022.
• Program Committee member, International Conference on Complex Networks and their Applications, 2022.
• Program Committee member, International Conference on Complex Networks and their Applications, 2021.
• Program Committee member, International Conference on Complex Networks and their Applications, 2020.
11• Program & Steering Committee member, 52nd ISCIE International Symposium on Stochastic
Systems Theory and Its Applications, 2020.
• Local Arrangements Vice Chair, SICE Annual Conference 2018.
PhD External Examiner• Ximing Chen, Department of Electrical and Systems Engineering, University of Pennsylvania,
2019.
Journal Reviewer
Advanced Robotics; Annual Reviews in Control; Automatica; Applied Mathematics and Computation; Applied Network Science; Asian Journal of Control; Computer Communications; Discrete
Mathematics; European Journal of Control European Physical Journal B; Foundations of Computational Mathematics; IEEE Access; IEEE/ACM Transactions on Computational Biology and Bioinformatics; IEEE Circuits and Systems Magazine; IEEE Control Systems Letters; IEEE Intelligent Systems; IEEE Transactions on Automatic Control; IEEE Transactions on Big Data; IEEE Transactions
on Circuits and Systems; IEEE Transactions on Control of Network Systems; IEEE Transactions on
Cybernetics; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Signal Processing; IEEE
Transactions on Systems, Man and Cybernetics: Systems; IEEE Transactions on Network Scienceand Engineering; IEEE Transactions on Neural Networks and Learning Systems; IET Control Theory& Applications; International Journal of Robust and Nonlinear Control; Journal of Aerospace Engineering; Journal of Biological Dynamics; Journal of the Franklin Institute; Mathematics of Control,
Signals, and Systems; Neural Networks; Neurocomputing; Nonlinear Analysis: Hybrid Systems;
Operations Research and Decisions; Philosophical Transactions of the Royal Society A; Physica A;
Physics Letters A; SIAM Journal on Control and Optimization; SICE Journal of Control, Measurement, and System Integration; Stochastics and Dynamics; Systems and Control Letters; Research in
Engineering Design;
Research Advising
PhD thesis supervision — completed• Chengyan Zhao, Nara Institute of Science and Technology (Apr 2018–Mar 2021)
Master and Bachelor thesis supervision• Deng Yaosheng, Master Thesis, Osaka University (Apr 2022–present)• 2 BEng students, Osaka University (Apr 2022–present, one-year project)• Junpei Aizawa, Master Thesis, Osaka University (Apr 2021–present)• Anna Fujioka, Master Thesis, Osaka University (Apr 2021–present)• Aiyi Li, Master Thesis, Osaka University (Apr 2021–present)• Hirotada Wada, Master Thesis, Osaka University (Apr 2021–present)• 3 BEng students, Osaka University (Apr 2021–Mar 2022, one-year project)• 2 BEng students, Osaka University (Apr 2020–Mar 2021, one-year project)• 6 MEng students, Osaka University (Apr 2017–Mar 2020, two-year project)

Masaki Ogura, September 202412