Qing Lyu | Engineering | Best Researcher Award

Dr. Qing Lyu | Engineering | Best Researcher Award

Wake Forest University School of Medicine | United States

Dr. Qing Lyu is a highly accomplished researcher in biomedical engineering and AI-driven medical imaging, with a strong track record of innovation and scholarly impact. He holds a B.S. and M.S. in Biomedical Engineering from Shanghai Jiao Tong University and a Ph.D. from Rensselaer Polytechnic Institute, where his dissertation focused on deep neural networks for MRI applications. Currently, he serves as Assistant Professor in Radiology and Adjunct Assistant Professor in Biomedical Engineering at Wake Forest University School of Medicine. Dr. Qing Lyu’s research spans MRI and CT super-resolution, multimodal radiomics, deep learning for disease prediction, and AI-based clinical translation. His scholarly output includes 14 documents indexed in Scopus, accruing 594 citations and an h-index of 8, reflecting both quality and influence. He holds multiple patents, has secured competitive grants, and serves on editorial boards while reviewing for top journals and conferences, underscoring his leadership in advancing biomedical imaging, AI, and translational medical research.

Profile: Scopus | Google Scholar

Featured Publications

Lyu, Q., Tan, J., Zapadka, M. E., Ponnatapura, J., Niu, C., Myers, K. J., Wang, G., … & Whitlow, C. (2023). Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: Results, limitations, and potential. Visual Computing for Industry, Biomedicine, and Art, 6(1), 9.

Lyu, Q., Shan, H., Steber, C., Helis, C., Whitlow, C., Chan, M., & Wang, G. (2020). Multi-contrast super-resolution MRI through a progressive network. IEEE Transactions on Medical Imaging, 39(9), 2738–2749.

Lyu, Q., Shan, H., & Wang, G. (2020). MRI super-resolution with ensemble learning and complementary priors. IEEE Transactions on Computational Imaging, 6, 615–624.

Lyu, Q., & Wang, G. (2022). Conversion between CT and MRI images using diffusion and score-matching models. arXiv preprint arXiv:2209.12104.

Niu, C., Li, M., Fan, F., Wu, W., Guo, X., Lyu, Q., & Wang, G. (2022). Noise suppression with similarity-based self-supervised deep learning. IEEE Transactions on Medical Imaging, 42(6), 1590–1602.

Ibrahim Sadek | Engineering | Best Researcher Award

Ibrahim Sadek | Engineering | Best Researcher Award

Dr Ibrahim Sadek, Helwan University, Egypt

Dr. Ibrahim Sadek is a seasoned expert in biomedical engineering and artificial intelligence, with an impressive academic background that spans across Egypt, France, and Singapore 🌍. He holds a Ph.D. in Computer Science from the University of Montpellier and has served in notable roles including postdoctoral fellowships at the University of Sherbrooke and ST Electronics-SUTD Cyber Security Laboratory. Currently, he leads the AI program at the University of Hertfordshire’s GAF Cairo campus 🇪🇬. His work in signal processing and machine learning has garnered awards and led to groundbreaking advancements in healthcare and cybersecurity 🚀. Fluent in Arabic and English, Dr. Sadek’s multilingual prowess complements his technical skills in Python, C++, and MATLAB 💡.

Publication profile

google scholar

Education

He completed his Ph.D. in Computer Science from the University of Montpellier, France 🇫🇷, in 2018, with a focus on pervasive access technologies through collaboration with IPAL and CNRS UMI 2955/A*STAR in Singapore 🇸🇬. Dr. [Name] holds a distinguished M.Sc. in Computer Vision and Robotics from the prestigious VIBOT program, involving studies at Heriot-Watt University in the UK 🇬🇧, University of Burgundy in France, and University of Girona in Spain 🇪🇸. He earned his B.Sc. in Biomedical Engineering from Helwan University, Egypt 🇪🇬, graduating top of his class with honors. He also spent a year at the University of Chemical Technology and Metallurgy in Bulgaria 🇧🇬 through the Erasmus Mundus program. 🎓🌟

Experience

During my postdoctoral research fellowship at the University of Sherbrooke, Canada (09/2019 to 08/2021), I developed signal processing and machine learning tools to analyze in-bed ballistocardiogram signals for detecting abnormal cardiac events, such as arrhythmias, and abnormal breathing events like obstructive sleep apnea. 📊❤️ Since December 2019, I’ve been lecturing at the Biomedical Engineering Department, Helwan University, Egypt, teaching courses including Biomedical Signal Processing and Neural Networks. 🎓🧠 As of December 2023, I lead the Computer Science/Artificial Intelligence Programme at the University of Hertfordshire’s Faculty of Engineering, hosted by GAF Cairo, Egypt. My role includes coordinating modules and exams, and maintaining academic communication between institutions. 🌍🖥️ My previous roles include part-time instructor positions at the University of Hertfordshire and Cairo University, teaching subjects like Software Architecture and Biomedical Data Analytics. 🏫📚 Additionally, I was a postdoctoral fellow at ST Electronics-SUTD Cyber Security Laboratory, Singapore (06/2018 to 07/2019), where I worked on malware detection and network traffic anomaly analysis. 🔍💻 My research background also includes a Ph.D. in nonintrusive nocturnal remote monitoring of vital signs and a master’s internship on the automatic discrimination of retinal images, which led to a best paper award at SPIE 2015. 🏆🔬

Awards

During the years 2015 to 2018, I received the A*STAR Research Attachment Program (ARAP) Grant 🌟, coordinated by the Institute for Infocomm Research (I2R) in Singapore and the Institute Mines-Telecom in France. In 2016, I secured the Alexandra Health Enabling Grant (AHEG1606) for a project at Khoo Teck Puat Hospital in Singapore 🏥, focused on developing a novel unobstructed mattress sensor to detect obstructive sleep apnea 😴. I won the Robert F. Wagner All-Conference Best Student Paper Award in 2015 📜 for my paper on retinal image discrimination. I was also a recipient of the Erasmus Mundus Grant in Computer Vision and Robotics (2012-2014) 🤖, coordinated by three European universities. Earlier, I won the Young Innovator’s Award in 2010 🏆 for my graduation project, and from 2007 to 2008, I held an undergraduate scholarship through the Erasmus Mundus External Cooperation Window 🎓, coordinated by the University of Chemical Technology’s biotechnology engineering department.

Research focus

Ibrahim Sadek‘s research primarily focuses on nonintrusive health monitoring, emphasizing the use of advanced signal processing techniques for various medical applications. His work spans ballistocardiogram (BCG) signal processing for heart rate and vital signs monitoring 🩺💓, nonintrusive methods for sleep apnea detection 🛌💤, and the application of machine learning and IoT technologies in healthcare 🧠📡. Sadek also explores image processing for retinal health analysis 👁️🖼️, privacy and security concerns in IoT-based healthcare systems 🔐📱, and comparative studies of wearable and non-wearable devices for health tracking 🚶‍♂️📲. His research integrates interdisciplinary approaches to enhance non-invasive medical diagnostics and patient monitoring systems.

Divya Sharma | Engineering | Best Researcher Award

Divya Sharma | Engineering | Best Researcher Award

Ms Divya Sharma, Birla institute of Technology Mesra, India

Divya Sharma is a passionate academic and researcher specializing in Microelectronics and VLSI Designs. With a Ph.D. from Birla Institute of Technology, Mesra, she’s currently the Managing Editor at the International Journal of Microsystems and IoT. Previously, she served as an Assistant Professor at Sanskar College of Engineering and Technology. Divya’s expertise spans from teaching undergraduates to coordinating workshops and conferences. Her publications and patents reflect her commitment to advancing technology. Outside academia, she actively engages in extracurricular activities and holds various responsibilities, including alumni coordination and conference moderation. 🎓🔬✍️

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Publication profile

google scholar

Research focus

Divya Sharma is a dedicated researcher in the field of Microelectronics and VLSI Design, with a strong focus on the design and optimization of electronic circuits and systems. 🧑‍🔬📐 Her extensive academic background, including a Ph.D. in Microelectronics and VLSI Design and multiple publications, showcases her expertise. 📚 Her work spans various technical skills such as VHDL, Verilog HDL, MATLAB, and more. 🖥️🔧 Additionally, Divya’s involvement in conferences, workshops, and her role as Managing Editor at IJMIT underlines her active participation in the research community. 🌐👩‍🏫 Overall, she is a dedicated and skilled professional with a passion for advancing electronic and communication engineering. 🌟✨

Publication top notes

Design and optimization of 4-bit array multipliehttps://www.tandfonline.com/doi/abs/10.1080/03772063.2023.2204857r with adiabatic logic using 65 nm CMOS technologies

https://gvpress.com/journals/IJSH/vol10_no3/18.pdfAnalysis of Programmable Gain Instrumentation Amplifier

Design of Low Power and Secure Implementatiohttps://ieeexplore.ieee.org/document/7724635n of SBox and Inverse-SBox for AES

Design of Unmannehttps://link.springer.com/chapter/10.1007/978-981-19-1906-0_30d All-Terrain Spy Bot

 

Vishal Kumar | Mechanical Engineering | Best Researcher Award

Mr. Vishal Kumar: Mechanical Engineering

🌱 Mr. Vishal Kumar, a dedicated PhD researcher at NIT Hamirpur, India, is a seasoned professional with over 5 years of combined expertise in technical and non-technical realms. Armed with strong leadership skills, he focuses on sustainable energy, particularly in biodiesel research for internal combustion engines. Mechanical Engineering 🚗 His passion for environmental responsibility is evident through notable publications in esteemed journals, contributing significantly to the field’s knowledge. 📚 With a commitment to advancing alternative fuel technologies, Vishal’s innovative approaches showcase his dedication to energy efficiency and making meaningful contributions to the academic community. 🌍⚙️

Profile:

Scopus

Orcid

Education:

🏫 Mr. Vishal Kumar is currently immersed in the world of academia, pursuing his Ph.D. at the National Institute of Technology, Hamirpur, located in the picturesque region of Himachal Pradesh, India. 🇮🇳 With a diverse skill set encompassing both technical and non-technical expertise, Vishal has honed his leadership qualities during his academic journey. Over a span of more than 5 years, he has actively engaged in research and teaching, shaping his passion for sustainable energy. 🌿 His focus on biodiesel as an alternative fuel for internal combustion engines has garnered recognition, with notable publications in renowned journals contributing to the academic advancement of knowledge in this field. 📚⚙️

Experience:

🌐 His expertise extends to research and teaching, aligning with his passion for sustainable energy. 🌿 Specializing in biodiesel research for internal combustion engines, Vishal has made significant contributions with notable publications in prestigious journals. 📚 His innovative approaches highlight the efficacy of biodiesel, emphasizing a commitment to environmental responsibility and energy efficiency. ⚙️ This journey reflects Vishal’s unwavering dedication to advancing alternative fuel technologies and making meaningful contributions to the academic community. 👨‍🔬🌍

Publication Top Note: