Fan Zhang, Ph.D.

Dual-Appointed Researcher, MIT Kavli Institute for Astrophysics and Space Research

Research Professor & Ph.D. Supervisor, Zhejiang University

Chief Scientist, Jiangsu Traceability Big Data R&D Center

MIT | Zhejiang University

(+86) 138-1126-4183

Citations: >40,000 | h-index: 47/66

About Me

I am a researcher bridging the Massachusetts Institute of Technology (MIT) and Zhejiang University. I currently serve as a Dual-Appointed Researcher at the MIT Kavli Institute for Astrophysics and Space Research and a Research Professor at Zhejiang University. I am also the Chief Scientist at the Jiangsu Traceability Big Data R&D Center. I regularly teach frontline courses in Marine Big Data, Marine Data Mining, and Artificial Intelligence for undergraduates and graduate students at Zhejiang University.

I received my Ph.D. in Control Science and Engineering from Tsinghua University. Before my current roles, I conducted postdoctoral research at Carnegie Mellon University (CMU) and MIT, served as a Researcher at Tsinghua University and the Chinese Academy of Sciences, and worked as a Research Scientist at the MIT-IBM Watson AI Lab.

My research sits at the vanguard of AI for Science, High-Performance Scientific Computing, and Astrophysics-Inspired Perception. As a core member of the LIGO Scientific Collaboration, I contributed to the historic first detection of gravitational waves, earning the Special Breakthrough Prize in Fundamental Physics (2017). Currently, my team and I are pioneering the transfer of gravitational wave theories (such as gravitational lensing and stiff-amplification) into novel marine perception mechanisms, aiming to break the bottlenecks of traditional acoustic and optical methods in deep-sea and polar environments.

Research Interests

AI for Science & High-Performance Computing: Developing robust AI models, large language model (LLM) agents, and cloud-edge-terminal collaborative systems. Designing millisecond-level real-time scientific computing operators (e.g., SageNet, BBNet series) for heterogeneous big data in complex aerospace and marine environments.
Novel Ocean Perception (Gravitational Wave Inspired): Translating theoretical models of gravitational wave signal amplification (lensing effects, stiff-amplification) into the domain of ocean perception, establishing new physical sensing paradigms with extreme penetrability and stability for deep-sea exploration.
Polar Intelligent Navigation & Ice Mechanics: Multi-objective, multi-scale path planning in complex ice-covered regions. Simulating the dynamic ship-ice interactions, pressure sintering effects, and fiber bundle models of Antarctic snow to provide intelligent decision support for polar maritime safety.

Selected Honors & Awards

Special Breakthrough Prize in Fundamental Physics 2017

Amazon Web Services (AWS) Educator Award 2014

Special Honor Research Award, UChicago & Argonne National Lab 2013

IEEE Trans. on Service Computing Outstanding Service Award 2013

IBM Watson Research Center Fellowship 2010-2012

Holds 5 international awards (USA), 2 US patents, and multiple Chinese patents.

Professional Service & Invited Talks

Academic Service

Publicity Co-Chair: IEEE International Conference on Frontiers of Information Technology (FIT).
General Chair: 5th International Conference on Networking and Distributed Computing (CNDC), Cambridge, MA, USA.
IEEE Senior Member (Since 2013).
ACM Member (Since 2012).
LIGO Scientific Collaboration Member (Since 2009).
Journal Reviewer: IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Service Computing (TSC), Journal of Parallel and Distributed Systems (JPDS).

Selected Invited Talks

Big-data Research Outline, Shanghai Jiao Tong University (2014)
Implementation of Real Time Processing Pipelines for Big Data Analytic Applications, Health Informatics Research, IBM T. J. Watson Research Center (2014)
Investigation of Cloud Computing Solutions for Massive Computation in Gravitational-wave Astrophysics, Division of Physics, Mathematics and Astronomy, Caltech (2013)
Characterization of MapReduce Applications on Private and Public Cloud Platforms, Qatar Computing Research Institute (2013) & University of Chicago (2013)
Research Outline in Big Data and Cloud Computing, Bell Labs Research, Dublin, Ireland (2013)
Additional invited talks at Tsinghua University, Zhejiang University, CUHK (Shenzhen), and various international IEEE conferences (ICASSP, ICCCN, IEEE Cloud Summit).

Publications

Published over 120 papers in leading peer-reviewed journals and conferences, accumulating >40,000 citations (as of Feb 2026).
(* denotes equal contribution; Fan Zhang in bold)

Selected Representative Papers

Observation of Gravitational Waves from a Binary Black Hole Merger

Fan Zhang in LIGO Scientific Collaboration and Virgo Collaboration

Physical Review Letters, 116, 061102 (2016).

First-ever direct observation of gravitational waves. Awarded the Breakthrough Prize in Fundamental Physics.

Efficient Evaluation of Gravitational Lensing Amplification Factors: A Deep Learning Framework

Fan Zhang, Qikai Zhang, Qiyuan Yang, Yong Yuan, Xilong Fan

The Astrophysical Journal Supplement Series, vol. 284, p. 48, 2026.

MARVEL: A multi-agent research validator and enabler using large language models

Nikhil Mukund*, Yifang Luo, Fan Zhang, Lisa Barsotti, Erik Katsavounidis

Machine Learning: Science and Technology, Volume 7, Number 3, 035023, 2026. [DOI]

Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training

Wenshuo Wang, Fan Zhang*

International Conference on Learning Representations (ICLR), 2026.

SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation

Fan Zhang, Yifang Luo, Bohua Li*, Ruihan Cao, Wenjin Peng, Joel Meyers, Paul R. Shapiro

Astrophysical Journal Supplement, 2025.

Effect of vibration on the elastic modulus of compacted Antarctic snow near Zhongshan Station

Fan Zhang, Tong Han, Qiming Zhang, Hao Wang, Zhenxuan Yin, Yihe Wang, Biao Hu, Xueyuan Tang, Bo Sun, Enzhao Xiao

EGUsphere, p. 2026-2115, 2026.

Full List of Publications (AI, Cloud Computing, Extreme Mechanics, etc.)

Fan Zhang, Qikai Zhang, Qiyuan Yang, Yong Yuan, Xilong Fan. Efficient Evaluation of Gravitational Lensing Amplification Factors: A Deep Learning Framework. The Astrophysical Journal Supplement Series, vol. 284, p. 48, 2026.
Fan Zhang, Tong Han, Qiming Zhang, Hao Wang, Zhenxuan Yin, Yihe Wang, Biao Hu, Xueyuan Tang, Bo Sun, Enzhao Xiao. Effect of vibration on the elastic modulus of compacted Antarctic snow near Zhongshan Station. EGUsphere, p. 2026-2115, 2026.
Nikhil Mukund, Yifang Luo, Fan Zhang, Lisa Barsotti, Erik Katsavounidis. MARVEL: A multi-agent research validator and enabler using large language models. arXiv, p. 2601.03436, 2026.
Enzhao Xiao, et al. Pressure sintering effect on the uniaxial compressive strength of compacted Antarctic snow. Journal of Glaciology, 2026.
Enzhao Xiao, Shengquan Li, Hao Wang, Biao Hu, Xueyuan Tang, Bo Sun, Fan Zhang, Yihe Wang. Fiber bundle model for compressive failures of compacted Antarctic snow. Frontiers in Physics, 2026.
Wenshuo Wang, Fan Zhang*, “Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training,” in International Conference on Learning Representations (ICLR), 2026.
Fan Zhang, Yifang Luo, Yuqing Dong, Qikai Zhang, and Aihua Han*, “Machine Learning Applications for Sustainable Housing Policy: Understanding Price Determinants to Inform Affordable Housing Strategies,” Algorithms, vol. 19, no. 2, p. 98, 2026.
Yihe Wang, Jia You, Meng Cui, Yanjie Qiu, Huanhao Liao, Yifang Luo, and Fan Zhang*, “A multi-objective route planning method for polar sea based on the NSGA-III algorithm,” Ocean Engineering, vol. 343, p. 123199, 2026.
Shangdong Liu, Wenxiang Wu, Haijun Chen, Shuai You, Jiahuan Lu, Lin Mao, Fan Zhang, and Yimu Ji*, “A Progressive Feature Learning Network for Cordyceps sinensis Image Recognition,” Sensors, vol. 25, no. 22, p. 7082, 2025.
Enzhao Xiao, Shengguan Li, Hao Wang, Biao Hu, Xueyuan Tang, Bo Sun, Fan Zhang, Yihe Wang. Experiment on ductile to brittle transition behavior of compacted Antarctic snow under uniaxial compression. Cold Regions Science and Technology, vol. 242, p. 104757, 2026.
Zhuopeng Peng, Fan Zhang. Hessian-Enhanced Likelihood Optimization for Gravitational Wave Parameter Estimation: A Second-Order Approach to Machine Learning-Based Inference. Mathematics, vol. 13, p. 4014, 2025.
Fan Zhang, Qikai Zhang, Dong Peng, Yudi Wang, Yihe Wang, Qi Qin, Shihong Hu, Gang Wu. Line contact induced bending failures of ice sheets during ship-ice interactions. International Journal of Naval Architecture and Ocean Engineering, vol. 18, p. 100711, 2026.
Fan Zhang, Yuqing Dong, Qikai Zhang, Yifang Luo, Aihua Han. Quantifying Urban Ecosystem Services for Community-Level Planning: A Machine Learning Framework for Service Quality and Residents’ Perceptions in Wuhan, China. Urban Science, vol. 9, no. 449, 2025.
Taobei Li, and Fan Zhang, “Real-Time Video Streaming and Per-Frame Analysis with Qwen2.5-VL for Maritime Surveillance,” in Proceedings of the International Conference on Maritime Systems and Technologies, 2025.
Wannian Li, and Fan Zhang, “Real-Time Vision-Language Analysis for Autonomous Underwater Drones: A Cloud-Edge Framework Using Qwen2.5-VL,” Drones, vol. 9, p. 605, 2025.
Ruikang Zhou, and Fan Zhang, “Refining Zero-Shot Text-to-SQL Benchmarks via Prompt Strategies with Large Language Models,” Applied Sciences, vol. 15, p. 5306, 2025.
Enzhao Xiao, Tong Han, Qiming Zhang, Zhenxuan Yin, Hao Wang, Biao Hu, Xueyuan Tang, Bo Sun, Fan Zhang, and Yihe Wang, “Vibration effects on the uniaxial compressive strength of compacted Antarctic snow,” Cold Regions Science and Technology, vol. 243, p. 104779, 2026.
Y. Wang, J. You, M. Cui, Y. Qiu, Z. Ma, R. Lu, J. Shang, Y. Luo, D. Ma, and F. Zhang*, “On-board assistant decision-making system for near-field navigation in sea ice,” Ocean Engineering, vol. 340, p. 122227, 2025.
Fan Zhang, Yifang Luo, Bohua Li*, Ruihan Cao, Wenjin Peng, Joel Meyers, Paul R. Shapiro. SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation. Astrophysical Journal Supplement. 2025.
Fan Zhang, Yifang Luo, Zihuan Gao, Aihua Han*. Injury degree appraisal of large language model based on retrieval-augmented generation and deep learning. International Journal of Law and Psychiatry. 2025 May-Jun;100:102070.
Ahmed Khan, H. U. D., Bajwa, U. I., Ratyal, N. I., Zhang, F., & Anwar, M. W. (2024). Deception detection in videos using the facial action coding system. Multimedia Tools and Applications.
Xi Fang, Aihua Han, Yifang Luo, WonHo Choi, Fan Zhang*. Linguistic factors in digital entertainment success: How review readability affects movie outcomes on Chinese online platforms, Volume 52, January 2025, 100911.
Saleem, G., Bajwa, U. I., Raza, R. H., & Zhang, F. (2024). Edge-Enhanced TempoFuseNet: A two-stream framework for intelligent multiclass video anomaly recognition in 5G and IoT environments. Future Internet, 16(3), Article 83.
Rehman, H. A., Bajwa, U. I., Raza, R., Alfarhood, S., Safran, M., & Zhang, F. (2024). Leveraging coverless image steganography to hide secret information by generating anime characters using GAN. Expert Systems with Applications, 248, Article 123420.
Yuexuan Shu, Jiwei Chen, Beibei Xu, Zhengchang Liu, Hao Zheng, Fan Zhang, Weiqi Fu, Biomimetic Synthesis of Nanosilica by Deep Learning-Designed Peptides and Its Anti-UV Application, Advanced Intelligent Systems, April 2024.
Xuanhao Zhang, Fan Zhang, Jiaqing Huang, Feiyu Zhou, Yong Zhou, Shuxian Guo, Qianying Cai, Zhen Ye, and Minli Zhai, “A Distributed Architecture Digital Human Service System Powered by Large Language Models”, in ICONIP 2024, Auckland, New Zealand.
Siyue Pu, Yuexuan Shu, Fan Zhang and Weiqi Fu, Microscopic image recognition of marine diatoms based on deep learning, Journal of Phycology, 59(6) 2023 Dec.
Bo Gao, Fan Zhang, Manually Crafted Chinese Text Corpus for Text Emotion Recognition, IJCNN 2023, Queensland, Australia.
Hanwen Li, Hang Diao, Fan Zhang, and Samee U. Khan, "Mining Proponents and Opponents Efficiently to Reduce the Training Dataset Size," in IJCNN 2023, Queensland, Australia.
Hang Diao, Zhengchang Liu, Fan Zhang, Jiaqing Huang, Feiyu Zhou, and Samee U. Khan, "Selecting Distinctive-Variant Training Samples Base on Intra-class Similarity," in ICANN 2023, Crete, Greece.
Zhengchang Liu, Hang Diao, Fan Zhang, and Samee U. Khan, "Find Important Training Dataset by Observing the Training Sequence Similarity," in ICANN 2023, Crete, Greece.
Xiaoming Zhang, Fan Zhang, Xiaodong Cui, Wei Zhang, "Speech Emotion Recognition with Complimentary Acoustic Representations". IEEE SLT 2022, Doha, Qatar.
张帆，毛霖，朱艾春，陈海军，彭宏京，黄德民. 基于生物特征的图像鉴真溯源技术集成于应用[J]。中国科技成果. 2022. 23（22）.
Weiqi Fu, Yuexuan Shu, Zhiqian Yi, Yixi Su, Yiwen Pan, Fan Zhang, Sigurdur Brynjolfsson. Diatom Morphology and Adaptation: Current Progress and Potentials for Sustainable Development. Sustainable Horizons. March 2022.
Qikai Zhang, Fan Zhang, and Samee Khan, "Mining Influential Training Data by Tracing Influence on Hard Validation Samples", IEEE ICTAI 2022, Washington.
Yuyang Wang, Fan Zhang, Samee U. Khan, HCA Operator: A Hybrid Cloud Auto-scaling Tooling for Microservice Workloads, IEEE MSN 2022, Guangzhou, China.
Bo Yang, Fan Zhang, Samee U. Khan, Quantitative Evaluation of Cloud Elasticity based on Fuzzy Analytic Hierarchy Process, IEEE Cloud Summit 2022, Fairfax, Virginia.
Kai Cui, Guoting Zhang, Fan Zhang, Samee U. Khan, Facial Expression Recognition System on a Distributed Edge Cloud Infrastructure, IEEE Cloud Summit 2022.
Jiahao Xu, Fan Zhang, Samee U. Khan, “Finding Key Training Data by Calculating Influence Score”, ACM CSAE 2022, Nanjing, China.
Yun Qin, Fan Zhang, On Sample Based Explanation Methods for Sequence-to-sequence Applications, ICCIA 2022, Haikou, China.
Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang. “On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation”. ACL-IJCNLP 2021.
Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang, "Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation", ICASSP 2021, Toronto, Canada.
Ruxiao Duan, Fan Zhang, Samee U. Khan, "A Case Study on Five Maturity Levels of A Kubernetes Operator", IEEE Cloud Summit 2021, NY.
Bo Yang, Fan Zhang, and Samee U. Khan, "An Encryption-as-a-service Architecture on Cloud Native Platform", IEEE ICCCN 2021, Athens, Greece.
Jiannan Yang, Tiantian Qian, Fan Zhang, Samee U. Khan. Real-time Facial Expression Recognition Based On Edge Computing, IEEE Access, 2021.
Mingke Xu, Fan Zhang, Wei Zhang. "Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset", IEEE Access, 2021.
Feichou Kou, Fan Zhang, "Stepwise-Refined Interval for Deep Learning to Process Sensor-cloud Data with Noises", SpaCCS 2020, Nanjing, China.
Mingke Xu, Fan Zhang, Jiannan Yang, Samee Khan, ''Exploring the influence of noise in Speech Emotion Recognition devices for Internet of Thing'', ICEI 2020, Sydney, Australia.
Mingke Xu, Fan Zhang, Samee U. Khan, "Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion", CCWC 2020, Las Vegas, Nevada.
Sihao Xu, Wei Zhang, Fan Zhang, “Multi-Granular BERT: An Interpretable Model Applicable to Internet-of-Thing devices”, ICEI 2020, Sydney, Australia.
Jiannan Yang, Fan Zhang, Tiantian Qian, “Attention-based Hierarchical Convolution Neural Network for Fine-grained Crop Image Classification”, IEEE IoT 2020, Rhodes Island, Greece.
Tiantian Qian, Fan Zhang, Samee U. Khan, "Facial Expression Recognition Based On Edge Calculation", MSN 2019, Hong Kong.
Fan Zhang, Xuxin Tang, Xiu Li, Samee U. Khan, and Zhijiang Li, "Quantifying Cloud Elasticity with Container-based Autoscaling", Future Generation Computer Systems, vol. 98, pp. 672-681, 2019.
Tiantian Qian, Fan Zhang, Samee U. Khan, "Facial Expression Recognition Based On Edge Calculation", MSN 2019, Hong Kong.
Jiannan Yang, Fan Zhang, Bike Chen, Samee U. Khan, "Facial Expression Recognition Based on Facial Action Unit", IGSC 2019, Alexandria, VA, USA.
F. Zhang, M. F. Sakr, K. Hwang, and S. U. Khan, "Empirical Discovery of Power-Law Distribution in MapReduce Scalability," IEEE Transactions on Cloud Computing, 2017.
Wei Ai, Kenli Li, Shenglin Lan, Fan Zhang, Jing Mei, Keqin Li, Buyya Rajkumar, “On Elasticity Measurement in Cloud Computing”, Scientific Programming, 2016.
R. Irfan, O. Khalid, M. Khan, C. Chira, R. Ranjan, F. Zhang, S. Khan, B. Veeravalli, K. Li, A. Zomaya, "MobiContext: a Context-aware Cloud-based Recommendation Framework," IEEE Transactions on Cloud Computing, 2016.
Xiu Li, Jindong Song, Fan Zhang, Xiaogang Ouyang, and Samee U. Khan, "MapReduce-based Fast Fuzzy C-means Algorithm for Large-scale Underwater Image Segmentation", Future Generation Computer Systems, vol. 65, pp. 90-101, 2016.
Fan Zhang, Kai Hwang, Samee U. Khan, Qutaibah Malluhi, "Skyline Discovery and Composition of Inter-Cloud Mashup Services," IEEE Transactions on Service Computing, 9(1):72-83, 2015.
Fan Zhang, Junwei Cao, Khan Samee U, Keqin Li, Kai Hwang, “A Task-Level Adaptive Map Reduce Framework for Real-Time Streaming Data in Healthcare Applications”, Future Generation Computer Systems, 2015.
Fan Zhang, Malluhi, Qutaibah M, Elsayed Tamer, Khan Samee U, Li Keqin, Zomaya Albert Y, “CloudFlow: A Data-Aware Programming Model for Cloud Workflow Applications on Modern HPC Systems”, Future Generation Computer Systems, 2015.
Fan Zhang, Kai Hwang, Khan Samee U, Malluhi Qutaibah M, “Skyline Discovery , Composition of Multi-Cloud Mashup Services”, TSC 2016.
Khan Muhammad Usman Shahid, Khalid Osman, Ying Huang, Ranjan Rajiv, Fan Zhang, Junwei Cao, Veeravalli Bharadwaj, Khan Samee U, Keqin Li, Zomaya Albert Y, ”Macroserv: A Route Recommendation Service for Large-Scale Evacuations” TSC 2015.
Irfan Rizwana, Khalid Osman, Khan Muhammad Usman Shahid, Chira Camelia, Ranjan Rajiv, Fan Zhang, Khan Samee U, Veeravalli Bharadwaj, Li Keqin, Zomaya Albert Y, ”Mobicontext: A Context-Aware Cloud-based Venue Recommendation Framework”, TCC 2015.
Fan Zhang, Junwei Cao, Kai Hwang, Keqin Li, and Samee U. Khan, "Adaptive Workﬂow Scheduling on Cloud Computing Platforms with Iterative Ordinal Optimization", IEEE Transactions on Cloud Computing, vol. 3, no. 2, pp. 156-168, 2015.
M. U. S. Khan, O. Khalid, Y. Huang, F. Zhang, R. Ranjan, S. U. Khan, J. Cao, K. Li, B. Veeravalli, and A. Zomaya, "MacroServ: A Route Recommendation Service for Large-Scale Evacuations," IEEE Transactions on Services Computing, 2015.
L. Zhang, K. Li, Y. Xu, F. Zhang, and Keqin Li, "Maximizing Reliability with Energy Conservation for Parallel Task Scheduling in a Heterogeneous Cluster," Information Sciences, 319: 113-131, 2015.
K. Li, W. Ai, Z. Tang, F. Zhang, L. Jiang, K. Li, K. Hwang, “Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields”, IEEE Transactions on Parallel and Distributed Systems, 26(11):3040-3051, 2015.
F. Zhang, Q. Malluhi, T. Elsayed, S. U. Khan, K. Li, A. Y. Zomaya. “CloudFlow: Data-aware Programming Model for Cloud Workflow Applications on Modern HPC Systems”, Future Generation Computer Systems, 51: 98-110, 2015.
F. Zhang, J. Cao, W. Tan, S. U. Khan, K. Li, and A. Y. Zomaya. "Evolutionary Scheduling of Dynamic Multitasking Workloads for Big-data Analytics in Elastic Cloud", IEEE Transactions on Emerging Topics in Computing, 2(3):2014.
F. Zhang, J. Cao, K. Hwang, K. Li, S. U. Khan. “Adaptive Workflow Scheduling on Cloud Computing Platforms with Iterative Ordinal Optimization”, IEEE Transactions on Cloud Computing, 3(2):156-168, 2014.
F. Zhang, J. Cao, S. U. Khan, K. Li, K. Hwang. “A Task-level Adaptive MapReduce Framework for Real-time Streaming Data in Healthcare Applications”, Future Generation Computer Systems, 43: 149-160, 2014.
F. Zhang, M. F. Sakr, "Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds" In IEEE Cloud 2014, Alaska, USA.
F. Zhang, J. Cao, K. Li, S. U. Khan, K. Hwang. “Multi-Objective Scheduling of Many Tasks in Cloud Platforms” Future Generation Computer Systems, 37, 2013.
F. Zhang, M. F. Sakr, "Cluster-size Scaling and MapReduce Execution Times" In CloudCom 2013, Bristol, UK.
F. Zhang, Q. M. Malluhi, T. Elsayed, “ConMR: Concurrent MapReduce Programming Model for Large Scale Shared-Data Applications” In ICPP 2013, Lyon, France.
F. Zhang, M. F. Sakr, "Dataset Scaling and MapReduce Performance", IPDPS 2013, Boston, USA.
F. Zhang, J. Cao, C. Hong, L. Liu, and C. Wu, “Redundant Virtual Machines Management in Virtualized Cloud Platform”, International Journal on Modeling, Simulation, and Scientific Computing 2(2), 151-168, 2011.
J. J. Mulcahy, S. Huang, J. Cao, and F. Zhang, “How Are You Feeling? A Social Network Model to Monitor the Health of Post-Operative and Remote Patients”, Proc. IEEE International Systems Conference, Montreal, Canada, 2011.
F. Zhang, J. Cao, K. Hwang, and C. Wu, “Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds”, CloudCom 2011, Athens, Greece.
F. Zhang, J. Cao, C. Hong, J. Mulcahy, and C. Wu, “Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms, Adaptive Resource Provisioning in Virtualized Cloud Platforms”, International Journal of Web Services Research. 8(3), 54-69, 2011.
F. Zhang, J. Cao, C. Hong, J. Mulcahy, and C. Wu, “Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms”, 6th IEEE International Conference on Networking, Architecture, and Storage, DaLian, China, 2011.
F. Zhang, J. Cao, L. Liu and C. Wu, “Fast Autotuning Configurations in Distributed Computing Systems using Ordinal Optimization”, Tsinghua Science and Technology. 16(4), 440-448, 2011.
J. Cao, F. Zhang, K. Xu, L. Liu and C. Wu, “Formal Verification of Temporal Properties for Reduced Overhead in Grid Scientific Workflows”, Journal of Computer Science & Technology. 26(6), 1017-1030, 2011.
F. Zhang, J. Cao, L. Liu, and C. Wu, “Adjacent Matrix based Deduction for Grid Workflow Applications”, 1st ICNDC 2010, HangZhou, China.
C. Zhao, J. Cao, H. Wu, and F. Zhang, “Cost Estimation of Advance Reservations over Queued Jobs: a Quantitative Study”, International Journal of Modeling, Simulation, and Scientific Computing, 1(3). 317-332, 2010.
F. Zhang, J. Cao, X. Song, H. Cai, and C. Wu, “AMREF: An Adaptive MapReduce Framework for Real Time Applications”, 9th International Conference on Grid and Cloud Computing, Nanjing, China, 2010.
F. Zhang, J. Cao, L. Liu, and C. Wu, “Fast Autotuning Configurations of Parameters in Distributed Computing Systems using OO”, 38th ICPP Workshops, Vienna, Austria, 2009.
J. Cao, F. Zhang, K. Xu, L. Liu, and C. Wu. “From Enabling to Ensuring Grid Workflows”, Quantitative Quality of Service for Grid Computing, 46-73, IGI Publishing, 2009.
F. Zhang, J. Cao, L. Liu, and C. Wu, “Qualification Evaluation in Virtual Organizations Based on Fuzzy Analytic Hierarchy Process”, 7th GCC, ShenZhen, China, 2008.

LIGO Scientific Collaboration & Virgo Collaboration Publications

F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Searches for continuous gravitational waves from nine young supernova remnants", The Astrophysical Journal, 813(2021)1, 39.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Observation of Gravitational Waves from a Binary Black Hole Merger", Physical Review Letters, 116, 061102 (2016) (First gravitational wave detection paper).
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Searches for continuous gravitational waves from nine young supernova remnants", The Astrophysical Journal, 813(2015)1, 39.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Astrophysical Implications of the Binary Black-Hole Merger GW150914", Astrophysical Journal Supplement Series, 818, L22, 2016.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Advanced LIGO", Classical Quantum Gravity, 32 (2015) 074001.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "A directed search for gravitational waves from Scorpius X-1 with initial LIGO", Physical Review D, 91 (2015) 062008.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Narrow-band search of continuous gravitational-wave signals from Crab and Vela pulsars in Virgo VSR4 data", Physical Review D, 91 (2015) 022004.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Characterization of the LIGO detectors during their sixth science run", Classical Quantum Gravity, 32 (2015) 105012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Improved Upper Limits on the Stochastic Gravitational-Wave Background from 2009-2010 LIGO and Virgo Data", Physical Review Letters, 113 (2014) 231101.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Gravitational-waves from known pulsars: results from the initial detector era", Astrophysical Journal, 785 (2014) 119.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Implementation of an F-statistic all-sky search for continuous gravitational waves in Virgo VSR1 data", Classical Quantum Gravity, 31 (2014) 165014.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Multimessenger Search for Sources of Gravitational Waves and High-energy Neutrinos: Results for Initial LIGO-Virgo and IceCube", Physical Review D, 90 (2014) 102002.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "First all-sky search for continuous gravitational waves from unknown sources in binary systems", Physical Review D, 90 (2014), 062010.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational wave ringdowns from perturbed intermediate mass black holes in LIGO-Virgo data from 2005–2010”, Physical Review D, 89 (2014) 102006.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Methods and results of a search for gravitational waves associated with gamma-ray bursts using the GEO600, LIGO, and Virgo detectors”, Physical Review D, 89 (2014), 122004.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Application of a Hough search for continuous gravitational waves on data from the fifth LIGO science run”, Classical Quantum Gravity, 31 (2014) 085014.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational radiation from intermediate mass black hole binaries in data from the second LIGO-Virgo joint science run”, Physical Review D, 89 (2014) 122003.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational waves associated with gamma-ray bursts detected by the InterPlanetary Network”, Physical Review Letters, 113 (2014) 011102.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “First searches for optical counterparts to gravitational-wave candidate events”. The Astrophysical Journal Supplement Series, 211 (1), 1-25.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “The NINJA-2 project: Detecting and characterizing gravitational waveforms modelled using numerical binary black hole simulations”, Classical Quantum Gravity, 31 (2014) 115004.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for long-lived gravitational-wave transients coincident with long gamma-ray bursts”, Physical Review D, 88(2013) 122004.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Constraints on cosmic (super) strings from the LIGO-Virgo gravitational-wave detectors”, Physical Review Letters, 112 (2014) 131101.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network”, Physical Review D, 88(2013) 062001.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Enhanced sensitivity of the LIGO gravitational wave detector by using squeezed states of light”, Nature Photonics, 7 (8), 613-619.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for Gravitational Waves from Binary Black Hole Inspiral, Merger and Ringdown in LIGO-Virgo Data from 2009-2010”, Physical Review D, 87(2), 022002(15), 2013.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “A First Search for Coincident Gravitational Waves and High Energy Neutrinos using LIGO, Virgo and ANTARES Data from 2007”, Journal Cosmology and Astroparticle Physics, 13(06), 008(39), 2013.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Einstein@ Home all-sky search for periodic gravitational waves in LIGO S5 data”. Physical Review D, 87 (4), 042001, 2013.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Swift Follow-Up Observations Of Candidate Gravitational-Wave Transient Events”, The Astrophysical Journal Supplement Series, 203(2), 28(14), 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for Gravitational Waves Associated with Gamma-ray Bursts during LIGO Science Run 6 and Virgo Science Run 2 and 3”, The Astrophysical Journal, 760(1), 12(18), 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “The characterization of Virgo data and its impact on gravitational-wave searches”, Classical and Quantum Gravity, 29, 155002, 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “All-sky search for gravitational-wave bursts in the second joint LIGO-Virgo run”, Physical Review D, 85, 122007, 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational waves from intermediate mass binary black holes”, Physical Review D, 85, 102004, 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Upper limits on a stochastic gravitational-wave background using LIGO and Virgo interferometers at 600–1000 Hz”, Physical Review D, 85, 122001, 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “First low-latency LIGO+Virgo search for binary inspirals and their electromagnetic counterparts”, Astronomy & Astrophysics, 541, A155, 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational waves from low mass compact binary coalescence in LIGO’s sixth science run and Virgo’s science runs 2 and 3”, Physical Review D, 85, 082002, 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Implementation and Testing of the First Prompt Search for Gravitational Wave Transients with Electromagnetic Counterparts”, Astronomy & Astrophysics, 539, A124, 2012.
F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “All-sky Search for Periodic Gravitational Waves in the Full S5 LIGO Data”, Physical Review D, 85, 022001, 2012.

Education

Ph.D. in Control Science and Engineering

Tsinghua University

Postdoctoral research completed at Carnegie Mellon University (CMU) & Massachusetts Institute of Technology (MIT)

Sep 2007 - Jan 2012

M.S. in Control Science and Engineering

Huazhong University of Science and Technology

Sep 2005 - Jul 2007

B.S. in Computer Science and Technology

Hubei University of Technology

Sep 2001 - Jul 2005