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As a PhD candidate in Electrical and Computer Engineering at Instituto Superior Técnico, I specialize in hybrid optimization-based control frameworks for autonomous drone swarms, with real-world applications in wildfire surveillance (IPMA data). I have developed deep expertise in optimization algorithms, probabilistic modeling, and mathematical systems. Key highlights of my PhD work include: First Authored 7 peer-reviewed publications (4 published journals, 1 under review for the main content of the phd thesis; plus 1 prior journal and 1 conference), focusing on hybrid and distributed optimization methods, enabling fast convergence to risk-based distributions.
Identification

Personal identification

Full name
He Hao
Date of birth
1997/11/23
Gender
Male

Citation names

  • Hao, He

Author identifiers

Ciência ID
4D1D-86DE-B44F
ORCID iD
0000-0003-4753-1776

Email addresses

  • hao.he@aliyun.com (Personal)

Telephones

Mobile phone
  • 930514086 (Personal)

Addresses

  • praca cottineli telmo 3, 4A, 1800-153, lisboa, lisboa, Portugal (Personal)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Chinese (Mother tongue)
English Upper intermediate (B2) Advanced (C1) Proficiency (C2) Advanced (C1) Advanced (C1)
Education
Degree Classification
2019/02/08 - 2024/06/06
Ongoing
Advanced Studies Diploma in Electrical and Computer Engineering (Doutoramento)
Major in Electrical and Computer Engineering
Universidade de Lisboa Instituto Superior Técnico, Portugal
2014/09/01 - 2018/06/06
Concluded
Bachelor of Science in Electrical and Computer Engineering (Bachelor)
Major in Bachelor of Science in Electrical and Computer Engineering
University of Macau, Macau SAR China
Engineering and Technology
Affiliation

Science

Category
Host institution
Employer
2019/02/08 - Current Researcher (Research) Universidade de Lisboa Instituto Superior Técnico, Portugal
Universidade de Lisboa, Portugal
Projects

Contract

Designation Funders
2021/09 - 2025/08 FCT: Ph.D. Grant Call 2021 Fundação para a Ciência e a Tecnologia
2020/01/01 - 2024/12/31 Laboratory of Robotics and Engineering Systems
UIDB/50009/2020
Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação, Portugal

Universidade de Lisboa Instituto Superior Técnico, Portugal

Laboratório de Robótica e Sistemas de Engenharia, Portugal

Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Journal article
  1. He Hao; Daniel Silvestre; Carlos Silvestre. "Continuous trajectory planning for non-convex utility functions using hybrid optimization". European Journal of Control (2026): https://doi.org/10.1016/j.ejcon.2025.101425.
    10.1016/j.ejcon.2025.101425
  2. He Hao; Daniel Silvestre; Carlos Silvestre. "Smooth surveillance using quadrotors for tasks with nonconvex utility functions". Systems & Control Letters 207 (2026): 106281-106281. http://dx.doi.org/10.1016/j.sysconle.2025.106281.
    10.1016/j.sysconle.2025.106281
  3. He Hao; Daniel Silvestre; Carlos Silvestre. "A self-organizing distributed algorithm to tackle the stochastic coverage problem". Franklin Open (2025): https://doi.org/10.1016/j.fraope.2025.100355.
    10.1016/j.fraope.2025.100355
  4. He Hao; Daniel Silvestre; Carlos Silvestre. "Analysis of gradient descent algorithms: Discrete to continuous domains and circuit equivalents". Systems & Control Letters 203 (2025): 106146-106146. https://www.sciencedirect.com/science/article/pii/S0167691125001288.
    https://doi.org/10.1016/j.sysconle.2025.106146
  5. He Hao; Daniel Silvestre; Carlos Silvestre. "A microscopic-view Infection model based on linear systems". Information Sciences 510 (2020): 1-15. https://doi.org/10.1016%2Fj.ins.2019.09.021.
    10.1016/j.ins.2019.09.021

Other

Other output
  1. Source Localization and Network Topology Discovery in Infection Networks. 2018. He Hao; Daniel Silvestre; Carlos Silvestre. https://doi.org/10.23919%2Fchicc.2018.8482274.
    10.23919/chicc.2018.8482274