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Faheem Ahmed - IEEE Xplore Author Profile

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Author details

Faheem Ahmed

Also published under: Fatima Ahmed, F. Ahmed

Publications

26

Citations

298

Publications by Year

20072023

Co-Authors:

Sheikha AhmedSaiqa AleemShayma AlkobaisiAdeel AslamJunaid Aziz

Show All Co-Authors (27)

Faheem Ahmed

Also published under: Fatima Ahmed, F. Ahmed

Affiliation

Department of Engineering

Thompson Rivers University

Kamloops, Canada

Publication Topics

Best Practices,
Cloud Computing,
Development Process,
Research Methodology,
Service Quality,
Abuse Potential,
Academic Community,
Application Layer,
Application Programming Interface,
Architectural Design,
Auditory Information,
Business Processes

Biography

Faheem Ahmed received the MS and the PhD degrees in software engineering from the Western University, Ontario, Canada, in 2004 and 2006 respectively. Currently he is full professor at Thompson Rivers Uversity, Kamloops, Canada. He had many years of industrial exper ence, holding various technical positions in software development organizations. During his professional career he has been actively involved in the life cycle of software development process including requirements management, system analysis and design, software development, testing, delivery and maintenance. He has authored and coauthored many peer-reviewed research articles in leading journals and conference proceedings in the area of software engineering. He is a senior membe...

Publications

26

Citations

298

Publications by Year

20072023

Co-Authors:

Sheikha Ahmed
Saiqa Aleem
Shayma Alkobaisi
Adeel Aslam
Junaid Aziz

Show All Co-Authors (27)

Author's Published Works

Search History

Showing 1-25 of 148 results

Conferences (127)

Journals (19)

Early Access Articles (2)

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Peng Liu(148)
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Microsoft Research Asia, Beijing, China(5)
Pennsylvania State University, University Park, PA, USA(4)
Key Laboratory of Wave Scattering and Remote Sensing Information, Ministry of Education, Fudan University, Shanghai, China(4)
School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China(4)
School of Management, Shenyang University of Technology, Shenyang, China(3)
2011 International Conference on Remote Sensing, Environment and Transportation Engineering(5)
IEEE Transactions on Transportation Electrification(5)
2011 Second International Conference on Mechanic Automation and Control Engineering(4)
2016 Progress in Electromagnetic Research Symposium (PIERS)(3)
IEEE Transactions on Antennas and Propagation(3)
IEEE(148)
Media(2)
Nanjing(9)
Shanghai(7)
Beijing(6)
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Intrusion Detection(10)
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Results

Comparing Different Membership Inference Attacks with a Comprehensive Benchmark

Jun Niu;Xiaoyan Zhu;Moxuan Zeng;Ge Zhang;Qingyang Zhao;Chunhui Huang;Yangming Zhang;Suyu An;Yangzhong Wang;Xinghui Yue;Zhipeng He;Weihao Guo;Kuo Shen;Peng Liu;Lan Zhang;Jianfeng Ma;Yuqing Zhang

IEEE Transactions on Information Forensics and Security

Year: 2025 | Early Access Article |

Membership inference (MI) attacks pose a significant threat to user privacy in machine learning. While numerous attacks have been proposed, the lack of standardized evaluation parameters and metrics has led to inconsistent and even conflicting comparison results. To address this issue and facilitate a systematic analysis of these disparate findings, we introduce MIBench, a comprehensive benchmark ...Show More

Comparing Different Membership Inference Attacks with a Comprehensive Benchmark

Jun Niu;Xiaoyan Zhu;Moxuan Zeng;Ge Zhang;Qingyang Zhao;Chunhui Huang;Yangming Zhang;Suyu An;Yangzhong Wang;Xinghui Yue;Zhipeng He;Weihao Guo;Kuo Shen;Peng Liu;Lan Zhang;Jianfeng Ma;Yuqing Zhang

IEEE Transactions on Information Forensics and Security

Year: 2025 | Early Access Article |

LogDLR: Unsupervised Cross-System Log Anomaly Detection Through Domain-Invariant Latent Representation

Junwei Zhou;Shaowen Ying;Shulan Wang;Dongdong Zhao;Jianwen Xiang;Kaitai Liang;Peng Liu

IEEE Transactions on Dependable and Secure Computing

Year: 2025 | Early Access Article |

Log anomaly detection aims to discover abnormal events from massive log data to ensure the security and reliability of software systems. However, due to the heterogeneity of log formats and syntaxes across different systems, existing log anomaly detection methods often need to be designed and trained for specific systems, lacking generalization ability. To address this challenge, we propose LogDLR...Show More

LogDLR: Unsupervised Cross-System Log Anomaly Detection Through Domain-Invariant Latent Representation

Junwei Zhou;Shaowen Ying;Shulan Wang;Dongdong Zhao;Jianwen Xiang;Kaitai Liang;Peng Liu

IEEE Transactions on Dependable and Secure Computing

Year: 2025 | Early Access Article |

An Improved Two-Scale Analytical Model for Bistatic Scattering of Wind-Driven Sea Surfaces

Yulin He;Yue Chen;Yu Mao Wu;Peng Liu

IEEE Geoscience and Remote Sensing Letters

Year: 2025 | Volume: 22 | Journal Article |

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The two-scale model (TSM) has been widely used to calculate scattering from surfaces with multiple roughness scales. In our study, we derived an improved TSM based on the angular composite model (ACM), which expresses the calculation of the scattering coefficient as an integral over the surface angles, making it possible to accelerate the process by combining with Monte Carlo integration. In addit...Show More

An Improved Two-Scale Analytical Model for Bistatic Scattering of Wind-Driven Sea Surfaces

Yulin He;Yue Chen;Yu Mao Wu;Peng Liu

IEEE Geoscience and Remote Sensing Letters

Year: 2025 | Volume: 22 | Journal Article |

Anomaly Detection and Secure Position Estimation Against GPS Spoofing Attack: A Security-Critical Study of Localization in Autonomous Driving

Qingming Chen;Guoqiang Li;Peng Liu;Zhenpo Wang

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 1 | Journal Article |

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For advanced autonomous driving (AD) systems, localization is highly critical for safety. Recent results show that GPS is vulnerable to spoofing attacks, and it is not clear whether the current localization is secure enough against advanced GPS spoofing attacks. In this paper, a systematic study regarding the security of the localization under GPS spoofing is explored for safe and reliable AD. Fir...Show More

Anomaly Detection and Secure Position Estimation Against GPS Spoofing Attack: A Security-Critical Study of Localization in Autonomous Driving

Qingming Chen;Guoqiang Li;Peng Liu;Zhenpo Wang

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 1 | Journal Article |

Sharing Can be Threatening: Uncovering Security Flaws of RBAC Model on Smart Home Platforms

Yiyu Yang;Jiayu Zhao;Yilian Li;Xiaowei Li;Peng Liu;Yuqing Zhang

IEEE Transactions on Dependable and Secure Computing

Year: 2025 | Volume: 22, Issue: 2 | Journal Article |

Cited by: Papers (1)

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The “sharing” feature provided by smart home platforms enables multiple users to access the device simultaneously with different roles and permissions, but it also presents new security challenges for the design and implementation of the permission management. The key issue is that the platform adopts two different permission assignments on the app side and the cloud side, and these two assignment...Show More

Sharing Can be Threatening: Uncovering Security Flaws of RBAC Model on Smart Home Platforms

Yiyu Yang;Jiayu Zhao;Yilian Li;Xiaowei Li;Peng Liu;Yuqing Zhang

IEEE Transactions on Dependable and Secure Computing

Year: 2025 | Volume: 22, Issue: 2 | Journal Article |

Predicting Electric Vehicle Energy Consumption From Field Data Using Machine Learning

Qingbo Zhu;Yicun Huang;Chih Feng Lee;Peng Liu;Jin Zhang;Torsten Wik

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Cited by: Papers (2)

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This study addresses the challenge of accurately forecasting the energy consumption of electric vehicles (EVs), which is crucial for reducing range anxiety and advancing strategies for charging and energy optimization. Despite the limitations of current forecasting methods, including empirical, physics-based, and data-driven models, this article presents a novel machine learning (ML)-based predict...Show More

Predicting Electric Vehicle Energy Consumption From Field Data Using Machine Learning

Qingbo Zhu;Yicun Huang;Chih Feng Lee;Peng Liu;Jin Zhang;Torsten Wik

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

A Direct Vector Control Strategy for Single-phase Differential Buck Inverter

Yanli Gao;Junhui Lin;Peng Liu;Yonggao Zhang;Shuang Xu;Liuchen Chang

2024 IEEE Energy Conversion Congress and Exposition (ECCE)

Year: 2024 | Conference Paper |

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This paper proposes an innovative vector control method for single-phase differential Buck inverters, advancing beyond the limitations of traditional control strategies. Unlike previous methods that require a T/4 delay for additional control freedom, the proposed vector control exploits the dual symmetrical DC-DC converter topology, inherently providing the necessary two degrees of freedom. This e...Show More

A Direct Vector Control Strategy for Single-phase Differential Buck Inverter

Yanli Gao;Junhui Lin;Peng Liu;Yonggao Zhang;Shuang Xu;Liuchen Chang

2024 IEEE Energy Conversion Congress and Exposition (ECCE)

Year: 2024 | Conference Paper |

Research on Image Fusion Method Based on Nonsubsampled Contourlet Transform

Pengfei Zhao;Peng Liu;Haili Zhao;Zhi Zhao

2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS)

Year: 2024 | Conference Paper |

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In modern military operations, as camouflage technology advances, soldiers, weaponry, and other military materials have become highly similar to their surroundings, making it difficult for traditional optical target recognition techniques to effectively identify camouflaged targets. Polarization imaging technology captures the polarization characteristics of light reflected from object surfaces, e...Show More

Research on Image Fusion Method Based on Nonsubsampled Contourlet Transform

Pengfei Zhao;Peng Liu;Haili Zhao;Zhi Zhao

2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS)

Year: 2024 | Conference Paper |

Study on the Polarized Light Transmission Characteristics Under Complex Sea Fog Environment

Peng Liu;Yuze Qin;Jin Duan

2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS)

Year: 2024 | Conference Paper |

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Aiming at the polarized light transmission characteristics under complex sea fog environment, the sea fog is divided into two layers of salt fog layer and water fog layer. Firstly, the simulation model of the corresponding layer is established based on Monte Carlo and T-matrix method, and the scattering characteristics of the particles between the two layers are linked by the multiple addition cum...Show More

Study on the Polarized Light Transmission Characteristics Under Complex Sea Fog Environment

Peng Liu;Yuze Qin;Jin Duan

2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS)

Year: 2024 | Conference Paper |

A New Nonlocal Iterative Trilateral Filter for SAR Images Despeckling

Li Xu;Peng Liu;Ya-Qiu Jin

IEEE Transactions on Geoscience and Remote Sensing

Year: 2024 | Volume: 62 | Journal Article |

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Speckle noise, a common artifact inherent in synthetic aperture radar (SAR) imagery, significantly degrades image quality. This deterioration in quality impedes critical tasks, such as segmentation, object recognition, and other related applications. This article introduces an innovative iterative trilateral filtering approach for SAR imagery enhancement, which is distinct in its use of Haar wavel...Show More

A New Nonlocal Iterative Trilateral Filter for SAR Images Despeckling

Li Xu;Peng Liu;Ya-Qiu Jin

IEEE Transactions on Geoscience and Remote Sensing

Year: 2024 | Volume: 62 | Journal Article |

NPA2Net: A Nested Path Aggregation Attention Network for Oriented SAR Ship Detection

Chunjie Zhang;Peng Liu;Haipeng Wang;Yaqiu Jin

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2024 | Volume: 17 | Journal Article |

Cited by: Papers (1)

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Ship detection in synthetic aperture radar (SAR) images is crucial for various applications in both civilian and military domains. In recent years, there has been substantial progress in SAR ship detection, largely driven by advancements in deep learning-based methods. However, some issues still exist that need to be addressed. First, most current ship detection methods are anchor-based. These met...Show More

NPA2Net: A Nested Path Aggregation Attention Network for Oriented SAR Ship Detection

Chunjie Zhang;Peng Liu;Haipeng Wang;Yaqiu Jin

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2024 | Volume: 17 | Journal Article |

Federated Multimodal Learning for Privacy-Preserving Driver Break Recommendations in Consumer Electronics

Peng Liu;Longfei Jiang;Huaming Lin;Jia Hu;Sahil Garg;Mubarak Alrashoud

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Cited by: Papers (6)

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In recent years, driver distraction behaviors, such as eating, drinking, and making phone calls, have become more and more frequent, especially during continuous driving. This results in a significant increase in traffic accidents caused by those behaviors. Therefore, it is crucial to recommend driver breaks when frequent instances of driver distraction are detected. Despite numerous single modal-...Show More

Federated Multimodal Learning for Privacy-Preserving Driver Break Recommendations in Consumer Electronics

Peng Liu;Longfei Jiang;Huaming Lin;Jia Hu;Sahil Garg;Mubarak Alrashoud

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 1 | Journal Article |

Coordinated Charging Scheme for Electric Vehicle Fast-Charging Station With Demand-Based Priority

Dingsong Cui;Zhenpo Wang;Peng Liu;Zhaosheng Zhang;Shuo Wang;Yiwen Zhao;David G. Dorrell

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

Cited by: Papers (1)

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The widespread adoption of electric vehicles (EVs) with fast-charging capability has presented significant challenges to the safe operation of power distribution networks. Issues such as node overvoltage and frequency fluctuations should be addressed to ensure power quality while maximizing charging quality-of-service (QoS) for EV users. This challenge is particularly crucial for fast-charging eve...Show More

Coordinated Charging Scheme for Electric Vehicle Fast-Charging Station With Demand-Based Priority

Dingsong Cui;Zhenpo Wang;Peng Liu;Zhaosheng Zhang;Shuo Wang;Yiwen Zhao;David G. Dorrell

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

Precision-Concentrated Battery Defect Detection Method in Real-World Electric Vehicles Crossing Different Temperatures and Vehicle States

Da Li;Junjun Deng;Jiyu Bi;Zhaosheng Zhang;Peng Liu;Zhenpo Wang

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

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Hundreds of electric vehicle (EV) battery thermal runaway accidents resulting from untreated defects restrict further development of EV industry. Battery defect detection based on the abnormality of external parameters is a promising way to reduce this kind of thermal runaway accidents and protect EV consumers from fire danger. However, the influence of temperature and EV states, i.e., charging an...Show More

Precision-Concentrated Battery Defect Detection Method in Real-World Electric Vehicles Crossing Different Temperatures and Vehicle States

Da Li;Junjun Deng;Jiyu Bi;Zhaosheng Zhang;Peng Liu;Zhenpo Wang

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

A Data-Driven Approach for Battery System Safety Risk Evaluation Based on Real-World Electric Vehicle Operating Data

Zirun Jia;Zhenpo Wang;Zhenyu Sun;Peng Liu;Xiaoqing Zhu;Fengchun Sun

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

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The safety evaluation of battery systems is crucial to prevent thermal runaway (TR) in electric vehicles (EVs) and ensure their safe and efficient operation. This article proposed a data-driven approach that utilizes real-world operational data to evaluate the safety risk of EV battery systems. Five key parameters related to voltage and temperature were selected from the lifecycle data of normal a...Show More

A Data-Driven Approach for Battery System Safety Risk Evaluation Based on Real-World Electric Vehicle Operating Data

Zirun Jia;Zhenpo Wang;Zhenyu Sun;Peng Liu;Xiaoqing Zhu;Fengchun Sun

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

Multistep Fast Charging-Based State of Health Estimation of Lithium-Ion Batteries

Dayu Zhang;Zhenpo Wang;Peng Liu;Qiushi Wang;Chengqi She;Pavol Bauer;Zian Qin

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

Cited by: Papers (6)

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Accurately predicting the battery’s aging trajectory is required to ensure the safe and reliable operation of electric vehicles (EVs) and is also the fundamental technique toward residual value assessment. As a critical enabler for mainstreaming EVs, fast charging has presented formidable challenges to health prognosis technology. This study systematically compares the performance of features extr...Show More

Multistep Fast Charging-Based State of Health Estimation of Lithium-Ion Batteries

Dayu Zhang;Zhenpo Wang;Peng Liu;Qiushi Wang;Chengqi She;Pavol Bauer;Zian Qin

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 3 | Journal Article |

SURE-based optimal selection of regularization parameter for total variation deconvolution

Feng Xue;Peng Liu;Jiaqi Liu;Xin Liu;Hongyan Liu

2017 6th International Conference on Industrial Technology and Management (ICITM)

Year: 2017 | Conference Paper |

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Recently, total variation based image deconvolution has shown its superior performance. The restoration quality is generally sensitive to the value of regularization parameter. In this work, we develop a data-driven optimization scheme based on minimization of Stein's unbiased risk estimate (SURE)—statistically equivalent to mean squared error (MSE). Based on a typical alternating direction method...Show More

SURE-based optimal selection of regularization parameter for total variation deconvolution

Feng Xue;Peng Liu;Jiaqi Liu;Xin Liu;Hongyan Liu

2017 6th International Conference on Industrial Technology and Management (ICITM)

Year: 2017 | Conference Paper |

Study on the effect of the modeling and filtering error sources on guidance laws of missile navigation

Peng Liu;Liu Yan;Feng Xue;Jiaqi Liu

2017 6th International Conference on Industrial Technology and Management (ICITM)

Year: 2017 | Conference Paper |

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The Proportional Navigation Guidance (PNG) law is not suitable for maneuvering targets interception as the accuracy will sharply degrade., in this paper, a modified augmented proportional navigation (MAPN) guidance law is proposed which adds an target maneuvering acceleration compensation to overcome the effect of the degradation of guidance accuracy. Aiming at modeling and filtering errors introd...Show More

Study on the effect of the modeling and filtering error sources on guidance laws of missile navigation

Peng Liu;Liu Yan;Feng Xue;Jiaqi Liu

2017 6th International Conference on Industrial Technology and Management (ICITM)

Year: 2017 | Conference Paper |

A high semantic representation for abnormal events detection in crowded scenes

Ye Tao;Ye Jin;Peng Liu

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)

Year: 2016 | Conference Paper |

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Many crowd abnormal motion detection methods in video surveillance have been proposed in resent years. However, most of them are based on low semantic features, such gray value, velocity and gradient. Usually, low semantic features contain weak discriminative information of the scene. In addition, these methods often ignore important information in time and space dimension. In this work, a high se...Show More

A high semantic representation for abnormal events detection in crowded scenes

Ye Tao;Ye Jin;Peng Liu

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)

Year: 2016 | Conference Paper |

High speed dense wavelength division multiplexing atmospheric laser communication system

Xianzhu Liu;Tianshu Wang;Chao Wang;Yuwei Su;Mingzhe Bi;Peng Liu;Xianglian Feng;Zhihang Wu;Jinhua Yang;Huilin Jiang

2016 15th International Conference on Optical Communications and Networks (ICOCN)

Year: 2016 | Conference Paper |

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We demonstrated a high speed atmospheric laser communication system based on a two channels dense wavelength division multiplexing, and 10Gb/s non return to zero sequence and 10GHz sine wave are modulated on the channels respectively. The channel spacing is 100GHz and the experimental distance is over 1km. The experimental results show that this dense wavelength division multiplexing system can re...Show More

High speed dense wavelength division multiplexing atmospheric laser communication system

Xianzhu Liu;Tianshu Wang;Chao Wang;Yuwei Su;Mingzhe Bi;Peng Liu;Xianglian Feng;Zhihang Wu;Jinhua Yang;Huilin Jiang

2016 15th International Conference on Optical Communications and Networks (ICOCN)

Year: 2016 | Conference Paper |

Selective leakage protection of coal mine distribution network with additional DC source

Jianwen Zhao;Jing Liang;Yongjia Liu;Peng Liu;Bin Zhao

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

Year: 2016 | Conference Paper |

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The underground coal mine is dangerous environment with gas1. In long term operation, the insulation resistance of cable decreases, and then leads to leakage. This can result in a threat to human and production safety. The leakage fault signal is weak, and the protection methods have no selectivity. The improvement of the protection method for additional DC source is proposed in this paper. The le...Show More

Selective leakage protection of coal mine distribution network with additional DC source

Jianwen Zhao;Jing Liang;Yongjia Liu;Peng Liu;Bin Zhao

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

Year: 2016 | Conference Paper |

Space charge characteristics of epoxy-based nanocomposites filled with graphene oxide

Siyu Zhang;Hongliang Zhang;Peng Liu;Zongren Peng

2016 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)

Year: 2016 | Conference Paper |

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Graphene oxide, a kind of nano-fillers with desirable thermal and electrical properties, could be added to epoxy resin and achieve satisfactory dispersion status due to its hydrophilicity, which lend great help to the preparation of samples. Graphene oxide could be mixed with water since its functional groups, O-H is in harmony with water's functional groups. Furthermore, epoxy resin, flexibilizer...Show More

Space charge characteristics of epoxy-based nanocomposites filled with graphene oxide

Siyu Zhang;Hongliang Zhang;Peng Liu;Zongren Peng

2016 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)

Year: 2016 | Conference Paper |

Space charge behavior of epoxy resin with low Tg under polarity reversal voltage

Hongliang Zhang;Peng Liu;Ding Li;Hua Feng;Chuang Wang;Zongren Peng

2016 International Conference on Condition Monitoring and Diagnosis (CMD)

Year: 2016 | Conference Paper |

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In order to study the effect of the glass transition temperature (Tg) on space charge behavior of epoxy resin under polarity reversal voltage, the epoxy resin samples with low Tg were casted in vacuum condition. The dielectric spectra of the samples were measured over the frequency range of 10-1 to 106 Hz at different temperatures. At different temperatures the negative poling field of -30 kV/mm w...Show More

Space charge behavior of epoxy resin with low Tg under polarity reversal voltage

Hongliang Zhang;Peng Liu;Ding Li;Hua Feng;Chuang Wang;Zongren Peng

2016 International Conference on Condition Monitoring and Diagnosis (CMD)

Year: 2016 | Conference Paper |

Linear and nonlinear electro-optic modulations of BaTiO3-crystal thin-film waveguides for 100GHz modulators

De Gui Sun;Mengxi Luo;Peng Liu;Trevor J. Hall

2016 Progress in Electromagnetic Research Symposium (PIERS)

Year: 2016 | Conference Paper |

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In this work, two electro-optic (EO) modulation schemes based on the Pockels effect - the quasi-linear and nonlinear EO modulation are compared and analyzed. Then, we find that the modulation efficiencies with these two schemes are at the same level relation of Vπ and L, but the quasi-linear scheme has to face the critic limitation in the realistic EO modulation implementation process. Thereby, wi...Show More

Linear and nonlinear electro-optic modulations of BaTiO3-crystal thin-film waveguides for 100GHz modulators

De Gui Sun;Mengxi Luo;Peng Liu;Trevor J. Hall

2016 Progress in Electromagnetic Research Symposium (PIERS)

Year: 2016 | Conference Paper |

Realization of large reflective surface of silica-waveguide turning corner with strategic deep-trenching

De Gui Sun;Jia Yi;Jun Wang;Peng Liu;Trevor J. Hall

2016 Progress in Electromagnetic Research Symposium (PIERS)

Year: 2016 | Conference Paper |

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In this work, a strategic deep trenching with theoretical optimization is adopted to reach a successful reflective effect of WTC structure. The experimental results are within the reasonable range. We select the SOS refractive index difference of 0.75%, waveguide core size of 5.5 μm × 5.5 μm. We know, only the trench bottom is at the same depth as the waveguide core, the side-wall can reflect the ...Show More

Realization of large reflective surface of silica-waveguide turning corner with strategic deep-trenching

De Gui Sun;Jia Yi;Jun Wang;Peng Liu;Trevor J. Hall

2016 Progress in Electromagnetic Research Symposium (PIERS)

Year: 2016 | Conference Paper |

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