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Dr. Haris KHALID - Research Fellow

Haris obtained his M.Sc. and Ph.D. degrees in control systems engineering from King Fahd University of Petroleum and Minerals, Dhahran, KSA in 2009 and 2012, respectively.


From 2013 to 2016, he was a research fellow at PEng Lab. His research focused on distributed filtering, performance monitoring for dynamic systems, fault detection and isolation.


He is currently an Assistant Professor at Higher College of Technology, Sharjah, United Arab Emirates. He is the Applied Research Coordinator, and was awarded the research of the year in 2018.

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Dr. Subham SAHOO - Research Fellow

Subham Sahoo received his B.Tech degree in Electrical & Electronics Engineering from Veer Surendra Sai University of Technology Burla, India in 2014. In 2018, he received his Ph.D. degree from the Indian Institute of Technology Delhi. He was awarded the best thesis for electrical engineering by INAE in 2019.


At PEng Lab, his research focused on analyzing and experimental validation of the reliability of distributed control in DC microgrids for incidents such as cyber attacks, transmission delays, link failure, and converter failure. 

He was later appointed as an Assistant Professor at the Aalborg University, Denmark.


Dr. KONG Yaonan - Research Fellow

Yaonan received her B.Eng. (2013) in Material Science & Engineering from Peking University, China. She received her Ph.D. degree in Industrial Systems Engineering and Management from NUS in 2017.


Yaonan then joined PEng Lab in 2017. She worked on demand baseline estimation for Singapore.


She is currently a quantitative analyst at Investment Company of the People's Republic of China.

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Dr. John Long Soon - Research Fellow

John Long Soon received his Master and Ph.D. Degrees in Electrical Engineering from the University of Sydney, Sydney, NSW, in 2015 and 2019, respectively. He was a recipient of the Best Paper Award in the category of Emerging Power Electronic Technique at the 2015 IEEE PEDS conference.

At PEng Lab, he prototyped a fault tolerant converter for photovoltaic systems. He also improved the power efficiency of buck-boost converter through ac core biasing technique.

Since July 2020, he joined Zerro Power Systems as a Senior Analog Design Engineer.

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Dr. Gurupraanesh RAMAN - Ph.D. Candidate

Praanesh was a Research Fellow under the Future Resilient Systems project, involved with mitigating data corruption in power systems with high renewable integration. This was a joint appointment between ETH Zürich and NUS.

He received the Ph.D. degree in Power and Energy Systems from the National University of Singapore in 2021, where he was the recipient of the President's Graduate Fellowship. He received the gold medal and the President's medal in 2016 for his undergraduate work at the National Institute of Technology, Tiruchirappalli, India. His research contributed towards the stability analysis and control of islanded microgrids, with a focus on the development of control strategies to expand the stability region of droop-controlled inverters, and for handling stability contingencies.

He became a senior engineer at Akribis Systems since March 2023.

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Dr. Gururaghav RAMAN - Ph.D. Candidate

Raghav received his Ph.D. in Electrical and Computing Engineering from the National University of Singapore, where he was a President's Graduate Fellow from 2016 - 2020. His Ph.D. research investigated how individual consumers' behavior could be manipulated by an adversary using strategically designed disinformation in order to attack a nation's critical infrastructure such as power grids and urban traffic networks. He has a B.Tech. degree in Electrical and Electronics Engineering and was a gold medalist at the National Institute of Technology, Tiruchirappalli, India in 2016.


Raghav is currently a Research Fellow at the Singapore-ETH Centre working on the Future Resilient Systems programme. His research focuses on consumer behavior in power systems, and how it could be leveraged to improve the system resilience.


He became a senior engineer at ION Mobility in March 2023.

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Dr. Andrey GORBUNOV - Ph.D. Candidate

Andrey received his Bachelor in Applied Mathematics and Physics with honors from the Moscow Institute of Physics and Technology (MIPT) in 2017. By the end of the third year at (MIPT), he started to work at the Institute of Energy Systems under Dmitry A. Novitsky’s supervision. From September 2015 to 2017, he studied at Skolkovo Institute of Science and Technology (SkolTech) for his Master degree. During this time, he investigated possible applications of PMU measurements under the supervision of Prof. Janusz Bialek. During the summer internship at the Institute of Energy Systems, he was involved in the development of a method for automatically determining participation in the general primary frequency control for the System Operator of Russia. In July 2017, he graduated from SkolTech with the best research thesis award.

His Ph.D. research at NUS contributes towards the network stability of interconnected inverter-based resources, specifically the design and analysis of grid-forming droop controller. He formerly identified new dynamic properties using graph theory, which later proved to explain the stability issues encountered among inverter-based renewables.

Dr. Jingqiu ZHANG - Ph.D. Candidate

Jingqiu received both his Bachelor and Master degrees in Electrical Engineering from Tianjin University, China in 2016, 2019, respectively. He worked on the control as well as fault analysis on HVDC and proposed quantified methods to calculate critical voltage drop considering different fault moments. His bachelor thesis investigated allocation algorithm for active power considering responding speeds of different inverters.


His Ph.D. research contributed towards the network resilience against cyber intrusions, particularly stealthy false data injections within DC microgrids. He developed robust consensus control strategies, which were validated in experimental microgrids.


Dr. Colm O'ROURKE - Ph.D. Candidate (co-advised)

Colm received his B.Eng. degree in energy systems engineering from the National University of Ireland Galway, Ireland, in 2013, and the S.M. degree in electrical engineering and computer science in 2015 from the Massachusetts Institute of Technology, Cambridge, MA, USA. 

He was the Lead Electrical Engineer with the 2017 MIT Hyperloop Team. His PhD research focused on developing new tools to aid the modeling and control of inverter-based systems. He received his Ph.D. degree from MIT in May, 2020. His research was co-advised with Prof. James Kirtley at MIT.


Dr. Salish MAHARJAN - Ph.D. Candidate (co-advised)

Salish received his B.E in Electrical Engineering from Tribhuvan University (Nepal) under Institute of Engineering “Pulchowk Campus,” and his M.Sc. from Masdar Institute in 2015.

During his Ph.D. candidature, he developed control solutions to mitigate voltage instability caused by the ramping of PV generation due to solar irradiance. He graduated in May 2020. This research was co-advised with Prof. Ashwin  Khambadkone .

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Dr. Kawsar ALI- Ph.D. Candidate (co-advised)

Kawsar received his B.Tech. degree in electrical engineering from the National Institute of Technology, Durgapur, India in 2011. From 2011 to 2014, prior to joining NUS as a research scholar, he was with the Indian Oil Corporation Limited, India, where he worked as an Operations Officer.

During his Ph.D. study, he worked on high-frequency AC-DC and DC-DC power converters for data centers. He received his Ph.D. degree in April, 2018. This research was co-advised with Prof. Pritam Das. He then joined University of Oxford as a postdoctoral researcher.


QU Zisen - Visiting Ph.D. Candidate

Zisen Qu received his B.Sc. degree in Electrical Engineering & Automation from China University of Mining and Technology (CUMT), Xuzhou, China, in 2016. His bachelor thesis investigated active damping control of current-source grid-connected photovoltaic inverter. He is currently pursuing his Ph.D degree in Electrical Engineering at the Zhejiang University (ZJU), Hangzhou, China.


He is currently visiting NUS as a joint Ph.D student under the China Scholarship Council (CSC) scholarship. His research interests include distribution generation and microgrids.

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LI Ang - Research Assistant

Ang obtained his M.Sc. degree from NUS in 2019. He developed a conditional Generative Adversarial Networks (GAN) for control applications.


LIU Zhuolong - Research Assistant

Zhoulong obtained his M.Sc. degree from NUS in 2018. His research studied the impact of political leaning on the topic of climate change among the mainstream news outlets. He applied data mining methods, in particular natural language processing.


ZHANG Qun - Research Assistant

Qun received her M.Sc. degree from NUS in 2018. She developed new electricity pricing models accounting for the EV charging behaviour of consumers. She joined Huawei after graduation.

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ADERIBOLE Adedyo - Research Assistant

Adedayo obtained his M.Sc. degree from Master Institute in 2017. His research investigated the stability of multi-microgrids using diversified generation and load profiles. He is currently pursuing his Ph.D. at MIT.


Salish MAHARJAN - Research Assistant

Salish obtained his M.Sc. degree from Master Institute in 2015. He proposed new signal processing techniques to improve the metering precision of PMUs. The main contribution of his research is towards the enhancement of phasor estimation accuracy under off-nominal conditions. He is currently pursuing a Ph.D. degree at NUS.

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Maksymilian KLIMONOTOWICZ - Research Assistant

Maksymilian obtained his M.Sc. degree from Masdar Institute in 2015. He developed a sliding mode control strategy to mitigate the stochastic nature of renewable generations in the context of frequency stability. He joined GE, Poland, after graduation.

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SUN Yue - Visiting Ph.D. Candidate

Yue Sun received her B.S. degree in Automation from Northeast Petroleum University in 2015. She worked on Model Predictive Control during her bachelor thesis. 


She is currently pursuing her in Control Theory and Control Engineering at the Harbin Engineering University, Harbin, China. She is a joint Ph.D. student supported by the China Scholarship Council (CSC) scholarship. Her research focuses on fault diagnosis for ship electric propulsion system.


YING Rui - Research Assistant

Rui completed his M.Sc. degree at NUS in 2019. He worked on developing recursive learning algorithms to detect anomalies in load demand curves. 


CAO Xilei - Research Assistant

​​Xilei obtained her M.Sc. degree from NUS in 2018. Her research focused on applying Generative Adversarial Networks (GAN) to obtain control parameters that ensure stable power sharing in low-inertia grids. She joined Huawei after graduation.


XING Naili - Research Assistant

Naili obtained his M.Sc. degree from NUS in 2017. His research focused on Nature Language Processing and Data Processing, where he studied the correlation between news media and social media on climate change.


CHIANG Chih-Lun - Research Assistant

Chih-Lun developed a novel decision-making algorithm for demand response from 2014 to 2015. The proposed algorithm enables demand response to be readily implemented in a decentralised manner. The solution minimised the risk of privacy intrusion. He is currently pursuing a Ph.D. degree at University of Texas, Dallas.


Abubeker ALAMIN - Research Assistant

Abubeker received his M.Sc. degree from Masdar Institute in 2015. He worked on bad data detection for state estimation used in low-voltage distribution systems. The work utilised synchrophasor measurements.

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Abdulla AL SHAMMARI - Research Assistant

Abdulla received his M.Sc. degree from Masdar Institute in 2014. His research improved the rotor-angle stability in the presence of high penetration of wind generations in transmission grids. He then joined as an engineer at Ministry of Interior, United Arab Emirates.

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