共为您找到 3260 位候选人
S*** u*** R***
电气&电子信息工程
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巴基斯坦
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博士
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教龄：10~15 年
A highly accomplished AI researcher and educator with over 12 years of experience in academia and industry, holding a PhD from Tsinghua University. Specializing in deep learning, computer vision, and multimedia retrieval, he has authored more than 80 publications with significant impact (H-index 23, 1750+ citations). His work spans convolutional neural network optimization, cross-media search, medical image analysis, and cybersecurity. Recognized as a UK Global Talent in AI, he has secured multiple grants and serves as a reviewer for leading IEEE and Nature journals. Currently an associate professor and program leader at the University of Salford, he actively mentors students, designs curricula, and collaborates internationally to advance AI applications in healthcare, remote sensing, and intelligent systems.
个人介绍：
A highly accomplished AI researcher and educator with over 12 years of experience in academia and industry, holding a PhD from Tsinghua University. Specializing in deep learning, computer vision, and multimedia retrieval, he has authored more than 80 publications with significant impact (H-index 23, 1750+ citations). His work spans convolutional neural network optimization, cross-media search, medical image analysis, and cybersecurity. Recognized as a UK Global Talent in AI, he has secured multiple grants and serves as a reviewer for leading IEEE and Nature journals. Currently an associate professor and program leader at the University of Salford, he actively mentors students, designs curricula, and collaborates internationally to advance AI applications in healthcare, remote sensing, and intelligent systems.
H*** A***
电气&电子信息工程
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印度
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博士
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教龄：
A seasoned academic with over 30 years of teaching and research experience in electronics, communication, and computer engineering. Specializing in medical image processing, machine learning, and IoT systems, he holds a PhD from Anna University with a thesis on denoising techniques for brain MR images using curvelet transform. He has published multiple journal articles in Scopus-indexed venues and contributed to international conferences. His teaching spans signals and systems, digital image processing, machine learning, and Python programming. Actively engaged in accreditation and curriculum development, he has held academic roles in India, Saudi Arabia, and Ghana, and continues to mentor students in research projects involving wavelet transforms, image fusion, and AI applications.
个人介绍：
A seasoned academic with over 30 years of teaching and research experience in electronics, communication, and computer engineering. Specializing in medical image processing, machine learning, and IoT systems, he holds a PhD from Anna University with a thesis on denoising techniques for brain MR images using curvelet transform. He has published multiple journal articles in Scopus-indexed venues and contributed to international conferences. His teaching spans signals and systems, digital image processing, machine learning, and Python programming. Actively engaged in accreditation and curriculum development, he has held academic roles in India, Saudi Arabia, and Ghana, and continues to mentor students in research projects involving wavelet transforms, image fusion, and AI applications.
A*** V***
电气&电子信息工程
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印度
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博士
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教龄：20年以上
An accomplished academic with around 30 years of experience in engineering education and research, specializing in VLSI, power electronics, and motor control. He holds a Ph.D. in FPGA-based system design and has contributed significantly to both teaching and innovative research. His achievements include publishing two patents, authoring two books, and over 25 Scopus-indexed international journal papers. He has supervised multiple PhD and M.Tech students and received several awards, including a Life Time Achievement Award in 2024. Actively engaged in the academic community, he serves as a reviewer for prestigious journals like Elsevier and has chaired sessions at international conferences. His work reflects a strong commitment to advancing engineering education and applied research in instrumentation and renewable energy systems.
个人介绍：
An accomplished academic with around 30 years of experience in engineering education and research, specializing in VLSI, power electronics, and motor control. He holds a Ph.D. in FPGA-based system design and has contributed significantly to both teaching and innovative research. His achievements include publishing two patents, authoring two books, and over 25 Scopus-indexed international journal papers. He has supervised multiple PhD and M.Tech students and received several awards, including a Life Time Achievement Award in 2024. Actively engaged in the academic community, he serves as a reviewer for prestigious journals like Elsevier and has chaired sessions at international conferences. His work reflects a strong commitment to advancing engineering education and applied research in instrumentation and renewable energy systems.
R*** K***
电气&电子信息工程
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印度
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博士
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教龄：20年以上
An experienced professor and administrator with a PhD in Electronics Engineering, specializing in smart instrumentation, embedded systems, battery management, wireless communications, and renewable energy. Over 25 years in academia across India, Saudi Arabia, and Papua New Guinea, with significant leadership roles including Head of Department and Deputy Director. Research output includes a book on battery monitoring, numerous journal publications in IEEE Access, Springer, and Elsevier journals, and supervision of multiple PhD and M.Tech students. Active in curriculum development, accreditation, and international collaborations. Recipient of several awards and invited for academic talks internationally. Committed to enhancing teaching quality, research innovation, and institutional development through hands-on projects and policy engagement.
个人介绍：
An experienced professor and administrator with a PhD in Electronics Engineering, specializing in smart instrumentation, embedded systems, battery management, wireless communications, and renewable energy. Over 25 years in academia across India, Saudi Arabia, and Papua New Guinea, with significant leadership roles including Head of Department and Deputy Director. Research output includes a book on battery monitoring, numerous journal publications in IEEE Access, Springer, and Elsevier journals, and supervision of multiple PhD and M.Tech students. Active in curriculum development, accreditation, and international collaborations. Recipient of several awards and invited for academic talks internationally. Committed to enhancing teaching quality, research innovation, and institutional development through hands-on projects and policy engagement.
A*** V***
电气&电子信息工程
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印度
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博士
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教龄：
A senior academic and administrator with a PhD in Engineering, specializing in VLSI, power electronics, motor control, and instrumentation. Over 30 years of experience, including significant administrative roles as Registrar and Head of Department. Research contributions include FPGA-based system design, wind power forecasting using AI, fractional-order PID controllers for renewable integration, and patents in mood monitoring and electrical fittings. Published extensively in international journals such as those by Taylor & Francis, Wiley, and Springer. Actively involved in guiding PhD and M.Tech students, leading consultancy projects, and contributing to national policy committees. Recognized with multiple awards for innovative research and academic leadership. Serves as a reviewer for esteemed journals and holds membership in various academic and professional bodies.
个人介绍：
A senior academic and administrator with a PhD in Engineering, specializing in VLSI, power electronics, motor control, and instrumentation. Over 30 years of experience, including significant administrative roles as Registrar and Head of Department. Research contributions include FPGA-based system design, wind power forecasting using AI, fractional-order PID controllers for renewable integration, and patents in mood monitoring and electrical fittings. Published extensively in international journals such as those by Taylor & Francis, Wiley, and Springer. Actively involved in guiding PhD and M.Tech students, leading consultancy projects, and contributing to national policy committees. Recognized with multiple awards for innovative research and academic leadership. Serves as a reviewer for esteemed journals and holds membership in various academic and professional bodies.
H*** A***
电气&电子信息工程
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伊朗
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博士
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教龄：20年以上
An electrical engineering academic with a PhD from Tarbiat Modarres University, specializing in power systems, demand response, renewable energy integration, and smart grids. Research focuses on modeling and prioritizing demand response programs, stochastic energy procurement, and grid integration of distributed generation. Published extensively in high-impact journals such as Applied Energy, Electric Power Systems Research, and IET Generation, Transmission & Distribution, with several highly cited papers. Led numerous national strategic projects for Iran's power sector, including comprehensive demand side management plans and renewable energy roadmaps. Experienced in teaching, student supervision, and consulting for the Ministry of Power. Active in promoting energy management and demand response through workshops and advisory roles.
个人介绍：
An electrical engineering academic with a PhD from Tarbiat Modarres University, specializing in power systems, demand response, renewable energy integration, and smart grids. Research focuses on modeling and prioritizing demand response programs, stochastic energy procurement, and grid integration of distributed generation. Published extensively in high-impact journals such as Applied Energy, Electric Power Systems Research, and IET Generation, Transmission & Distribution, with several highly cited papers. Led numerous national strategic projects for Iran's power sector, including comprehensive demand side management plans and renewable energy roadmaps. Experienced in teaching, student supervision, and consulting for the Ministry of Power. Active in promoting energy management and demand response through workshops and advisory roles.
S*** M*** M***
机械工程
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新西兰
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博士
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教龄：5~10 年
A mechanical engineering academic with a PhD from the University of Canterbury, specializing in computational biomechanics, medical imaging, and computer vision. Research focuses on patient-specific blood flow simulation, coronary hemodynamics, and deep learning for semantic instance segmentation of anatomical structures. Published in peer-reviewed venues such as the Journal of Biomechanical Engineering and the Winter Conference on Applications of Computer Vision (WACV). Experienced in translating engineering principles to clinical applications, including invasive coronary angiography and real-time 3D simulation. Over a decade of teaching experience at the University of Melbourne, with a strong background in mechanical engineering and computational methods.
个人介绍：
A mechanical engineering academic with a PhD from the University of Canterbury, specializing in computational biomechanics, medical imaging, and computer vision. Research focuses on patient-specific blood flow simulation, coronary hemodynamics, and deep learning for semantic instance segmentation of anatomical structures. Published in peer-reviewed venues such as the Journal of Biomechanical Engineering and the Winter Conference on Applications of Computer Vision (WACV). Experienced in translating engineering principles to clinical applications, including invasive coronary angiography and real-time 3D simulation. Over a decade of teaching experience at the University of Melbourne, with a strong background in mechanical engineering and computational methods.
A*** U***
电气&电子信息工程
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巴基斯坦
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博士
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教龄：1~3 年
A researcher and academic focused on the intersection of machine learning, deep learning, and practical engineering applications, particularly in intelligent transportation systems, pavement crack detection, and computer vision. Holds a PhD (expected 2025) in Intelligent Transportation and Information System Engineering from Chang’an University and an MS from Northwestern Polytechnical University. Published extensively in Q1/Q2 journals, including Engineering Applications of Artificial Intelligence and IEEE Access, on topics such as neural architecture search for crack detection, multimodal residual networks, and environmental policy analysis. Experienced in algorithm development, simulation (MATLAB/Simulink), and applying deep learning to real-world infrastructure and energy challenges. Serves as an Associate Professor, actively contributing to academic conferences as a speaker and technical committee member.
个人介绍：
A researcher and academic focused on the intersection of machine learning, deep learning, and practical engineering applications, particularly in intelligent transportation systems, pavement crack detection, and computer vision. Holds a PhD (expected 2025) in Intelligent Transportation and Information System Engineering from Chang’an University and an MS from Northwestern Polytechnical University. Published extensively in Q1/Q2 journals, including Engineering Applications of Artificial Intelligence and IEEE Access, on topics such as neural architecture search for crack detection, multimodal residual networks, and environmental policy analysis. Experienced in algorithm development, simulation (MATLAB/Simulink), and applying deep learning to real-world infrastructure and energy challenges. Serves as an Associate Professor, actively contributing to academic conferences as a speaker and technical committee member.
T*** S*** A***
电气&电子信息工程
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尼日利亚
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博士
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教龄：10~15 年
An electrical engineer with a PhD in Electronics/Electrical Engineering from the University of Strathclyde, specializing in power electronics, machines, drives, and renewable energy integration. Holds an MSc and BEng from Ahmadu Bello University. Research focuses on novel wind generator technologies, multi-phase induction machines, power converter analysis, and grid integration of renewables. Proficient in Finite Element Analysis tools (ANSYS, COMSOL), MATLAB/Simulink, PLECS, and Python. Has contributed to major projects like ORION, developing control strategies for HVDC systems and renewable integration. Published work includes modeling of nine-phase induction machines and SEPIC converters. Experienced in academic teaching, project management, and solar energy consultancy, with a strong record of securing funding and publishing in peer-reviewed venues.
个人介绍：
An electrical engineer with a PhD in Electronics/Electrical Engineering from the University of Strathclyde, specializing in power electronics, machines, drives, and renewable energy integration. Holds an MSc and BEng from Ahmadu Bello University. Research focuses on novel wind generator technologies, multi-phase induction machines, power converter analysis, and grid integration of renewables. Proficient in Finite Element Analysis tools (ANSYS, COMSOL), MATLAB/Simulink, PLECS, and Python. Has contributed to major projects like ORION, developing control strategies for HVDC systems and renewable integration. Published work includes modeling of nine-phase induction machines and SEPIC converters. Experienced in academic teaching, project management, and solar energy consultancy, with a strong record of securing funding and publishing in peer-reviewed venues.
S*** S***
电气&电子信息工程
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英国
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博士
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教龄：1~3 年
A researcher specializing in upper-limb prosthetics, with a focus on the intersection of machine learning and neuroscience. Holds a PhD in Electrical and Electronics Engineering and an MSc in Biomedical Engineering. Published work includes studies on delayed feedback in myoelectric training, robustness of myoelectric control across limb positions, and automatic control site detection using incremental principal component analysis. Experienced in digital signal processing, machine learning, and R programming. Currently engaged in academic teaching and research, with previous roles including photonic sensing research and contributions to renewable energy and enterprise education.
个人介绍：
A researcher specializing in upper-limb prosthetics, with a focus on the intersection of machine learning and neuroscience. Holds a PhD in Electrical and Electronics Engineering and an MSc in Biomedical Engineering. Published work includes studies on delayed feedback in myoelectric training, robustness of myoelectric control across limb positions, and automatic control site detection using incremental principal component analysis. Experienced in digital signal processing, machine learning, and R programming. Currently engaged in academic teaching and research, with previous roles including photonic sensing research and contributions to renewable energy and enterprise education.