Yunge Zou | Computer Science | Best Scholar Award

Posted on 20/11/202420/11/2024 by ScienceFather

Dr. Yunge Zou | Computer Science | Best Scholar Award

Dr. Yunge Zou, Chongqing University, China

Dr. Yunge Zou is a Ph.D. scholar at Chongqing University, specializing in hybrid powertrain design and battery degradation in the Department of Automotive Engineering. He is a talent under the Chongqing Excellence Program and a Shapingba Elite Talent (2023–2025). Dr. Zou has led key projects, including the National Key R&D Program, focusing on high-efficiency powertrain technologies. His contributions include innovative methods like Hyper-Rapid Dynamic Programming, which optimizes multi-mode hybrid powertrains. With multiple patents and high-impact publications, he collaborates with leading automotive firms like Chang’an New Energy, advancing sustainable transportation. 🚗🔋📚

Publication Profile

Orcid

Google Scholar

Academic and Professional Background 🔋

Dr. Yunge Zou earned his B.E. degree in Automotive Engineering from Chongqing University, China, in 2018. Currently, he is pursuing his Ph.D. in hybrid powertrain design and optimization at the Vehicle Power System Lab, Department of Automotive Engineering, Chongqing University. Recognized for his exceptional talent, Dr. Zou is part of the prestigious Chongqing Excellence Program and was honored as a Shapingba Elite Talent for 2023–2025. His research focuses on hybrid powertrain topology design, battery degradation, energy management systems (EMS), and enhancing battery life, contributing to sustainable transportation innovation. 📚🔧🌱

Research and Innovations 🚗

Dr. Yunge Zou is leading several groundbreaking research projects in the field of hybrid powertrain design and optimization. His work includes the National Key Research and Development Program of China on high-efficiency range extender assembly and electric vehicle integration (2022-2024), with a funding of 2.5 million yuan. He is also working on optimizing hybrid electric vehicle design through the National Science Fund for Excellent Young Scholars (2023-2025). Additionally, he contributes to various projects focusing on hybrid vehicle dynamics, energy efficiency, and low-emission technologies, backed by substantial funding from multiple prestigious organizations. 🛠️⚡

🛠️ Research Focus

Dr. Yunge Zou’s research primarily focuses on hybrid powertrain design and optimization for electric and range-extended vehicles. His work includes the development of control strategies and topology design for hybrid systems, aiming to improve fuel economy, efficiency, and reduce emissions. Dr. Zou has made significant advancements in aging-aware optimization and mode-switching mechanisms for multi-mode hybrid vehicles. His contributions also extend to battery degradation, energy management, and the computational efficiency of fuel economy assessment using innovative algorithms like Hyper Rapid Dynamic Programming (HR-DP). His work is instrumental in the evolution of transportation electrification. 🚗⚡

Publication Top Notes

“Design of all-wheel-drive power-split hybrid configuration schemes based on hierarchical topology graph theory” – Energy 242, 122944 (Cited by 14, 2022) 🔋
“Aging-aware co-optimization of topology, parameter and control for multi-mode input-and output-split hybrid electric powertrains” – Journal of Power Sources 624, 235564 (Cited by 1, 2024) ⚙️
“Design of optimal control strategy for range extended electric vehicles considering additional noise, vibration and harshness constraints” – Energy 310, 133287 (Cited by 1, 2024) 🚗
“Computationally efficient assessment of fuel economy of multi-modes and multi-gears hybrid electric vehicles: A Hyper Rapid Dynamic Programming Approach” – Energy, 133811 (Cited by 0, 2024) 🔧

Yanxia Jin | Genetics | Best Scholar Award

Posted on 04/11/2024 by ScienceFather

Yanxia Jin | Genetics | Best Scholar Award

Associate Professor at Hubei Normal University, China.

Dr. Yanxia Jin is a distinguished associate professor at Hubei Normal University, specializing in biomedical sciences, particularly in cancer treatment and tumorigenesis. Known for her dedication to both research and teaching, she actively mentors graduate students, fostering their growth in life sciences. Her work has received significant recognition through various prestigious awards and honors. Dr. Jin has contributed extensively to the field with over 38 SCI-indexed publications, including numerous first-author and corresponding author roles. Her leadership in high-impact research and commitment to academic excellence make her a valuable asset to the scientific and academic communities.

Publication Profile

Scopus

Educational Background

Dr. Jin has a robust academic foundation in biomedical sciences, which she has furthered through postdoctoral research at prominent institutions. Her postdoctoral studies at Zhongnan Hospital of Wuhan University and Hong Kong Baptist University allowed her to specialize in clinical medicine and traditional Chinese pharmacy. Her educational background has equipped her with a unique blend of interdisciplinary knowledge that she has applied throughout her research and teaching career. This solid academic and research training has set the groundwork for her impactful contributions to cancer research and the life sciences.

Experience

With years of experience as an academic mentor and researcher, Dr. Jin has become a pivotal figure at Hubei Normal University. She has not only led critical projects as Principal Investigator but also collaborated on nationally funded initiatives, such as those supported by the National Natural Science Foundation of China (NSFC) and the Hubei Province Natural Science Foundation. Her experience spans research project management, scientific publication, and graduate mentorship. Her work has established her as a leading expert in her field, contributing to advancements in cancer treatment and biomedical sciences.

Research Focus

Dr. Jin’s research focuses on understanding tumorigenesis and developing innovative cancer treatment approaches. Her work with selenium nanocomposites, biomarker identification, and anti-tumor compounds has shown promise in targeting lung cancer and leukemia. This specialization in molecular oncology and nanomedicine underlines her commitment to addressing pressing health challenges. Dr. Jin’s studies are driven by a goal to translate foundational research into clinical applications, reflecting her dedication to advancing treatment options and improving patient outcomes in oncology.

Awards and honors

Dr. Jin has received several notable awards, including recognition as both a Chutian Scholar and a Hong Kong Scholar, celebrating her contributions to biomedical research and education. Her accomplishments are further highlighted by her leadership in prestigious research projects funded by major foundations. These accolades underscore her dedication to her field and her impact on cancer research and biomedical sciences. Dr. Jin’s honors not only mark her as a researcher of high repute but also as a dedicated educator who inspires the next generation of scientists.

Conclusion

Dr. Yanxia Jin’s exemplary achievements, including her high-impact research, significant grant funding, and dedication to mentorship, make her an exceptional candidate for the Best Scholar Award. Her work on innovative cancer treatments and biomarkers exemplifies her commitment to addressing complex health challenges. With her ongoing dedication to expanding her research and mentorship, Dr. Jin is well-suited to receive this award, embodying both excellence in scholarship and significant contributions to the field of life sciences.

Publication Top Notes

Title: A novel selenium nanocomposite modified by AANL inhibits tumor growth by upregulating CLK2 in lung cancer
Authors: Zhang, Y., Chen, Y., Wang, B., Pan, J., Jin, Y.
Year: 2024
Citations: 0

Title: A diagnostic biomarker of acid glycoprotein 1 for distinguishing malignant from benign pulmonary lesions
Authors: Chen, Y., Zhang, Y., Huang, A., Pan, J., Jin, Y.
Year: 2023
Citations: 0

Title: Preparation and usage of nanomaterials in biomedicine
Authors: Zhang, Y., Ai, L., Gong, Y., Jin, Y.
Year: 2023
Citations: 3

Title: Overexpression of SERPINA3 suppresses tumor progression by modulating SPOP/NF-κB in lung cancer
Authors: Jin, Y., Zhang, Y., Huang, A., Wang, W., Pan, J.
Year: 2023
Citations: 3

Title: Alpha-1-antichymotrypsin as a novel biomarker for diagnosis, prognosis, and therapy prediction in human diseases
Authors: Jin, Y., Wang, W., Wang, Q., Raza, U., Gong, Y.
Year: 2022
Citations: 27

Title: Evaluation of prognostic staging systems of multiple myeloma in the era of novel agents
Authors: Shang, Y., Jin, Y., Liu, H., Hu, J., Zhou, F.
Year: 2022
Citations: 2

Title: Therapeutic Plateletpheresis in Patients With Thrombocytosis: Gender, Hemoglobin Before Apheresis Significantly Affect Collection Efficiency
Authors: Jiang, H., Jin, Y., Shang, Y., Gong, F., Zhou, F.
Year: 2021
Citations: 3

Title: Synergistic effects of AAGL and anti-PD-1 on hepatocellular carcinoma through lymphocyte recruitment to the liver
Authors: Ye, X., Wang, X., Yu, W., Xu, B., Sun, H.
Year: 2021
Citations: 4

Title: Shengxuening Extracted from Silkworm Excrement Mitigates Myelosuppression via SCF-Mediated JAK2/STAT3 Signaling
Authors: Ding, L., Tan, Y., Xu, L., Huang, T., Zhou, F.
Year: 2021
Citations: 8

salma ayari | Marketing | Best Researcher Award

Posted on 04/11/2024 by ScienceFather

salma ayari | Marketing | Best Researcher Award

ESCT at University of Tunis, Tunisia.

Salma Ayari is a Tunisian marketing expert specializing in digital marketing strategies and communication. With a career built on both academia and practical engagement, she brings innovative insights to the field. She has cultivated exceptional communication skills, conveying complex information effectively through her teaching and research roles. Known for her diligence, creativity, and adaptability, Ayari has a proven ability to handle high-pressure environments and diverse settings. Her commitment to continuous learning, combined with her advanced skills in time management, teamwork, and organization, underscores her qualifications for advanced marketing research and education in Tunisia and beyond.

Publication Profile

Scopus

Educational Background

Salma Ayari holds a Ph.D. in Marketing from Ecole Supérieure de Commerce de Tunis, University of Manouba, Tunisia. Her doctoral thesis, defended in 2020, investigates the influence of mental imagery on consumer engagement in online environments, earning a “Very Honorable” mention. She also completed her Master’s in Marketing Research at the same institution in 2014, focusing on mental imagery’s impact on consumer attitudes. Additionally, she earned a Bachelor’s degree in Applied Economics, specializing in International Finance, with honors in 2010, and earlier, a Bachelor’s in Economics and Management in 2006 from Ibn Abi Dhief High School.

Experience

Ayari has extensive teaching experience as a contractual assistant across various Tunisian universities, including the University of Tunis El Manar, University of Jendouba, and ESCT. Since 2017, she has taught a range of marketing courses, including digital marketing, product management, and service marketing. Her roles have also included curriculum design and supervision of final-year undergraduate marketing students, guiding them on topics like digital strategies, e-commerce, and the impact of social media on customer behavior. This blend of teaching, practical assignments, and student mentorship showcases her dedication to advancing marketing education and research.

Research Focus

Ayari’s research centers on the evolving digital marketing landscape, with particular emphasis on consumer engagement through online platforms, customer relationship management (CRM), and social media. Her work explores how mental imagery impacts user interactions on digital platforms and has further extended into areas like interactive and social media marketing, online advertising, and CRM applications. She has also supervised research on contemporary topics such as AI’s role in marketing, e-banking services, and the influence of social media influencers, demonstrating her commitment to investigating the intersection of digital technology and consumer psychology.

Awards and honors

The information provided does not list specific awards or honors that Salma Ayari has received. However, her academic achievements, such as receiving a “Very Honorable” mention for her Ph.D. thesis in marketing, signify recognition of her scholarly excellence within her institution. Additionally, her sustained roles as a contractual assistant across multiple universities, along with her mentorship of students in complex, modern marketing topics, reflect her professional credibility and dedication, which might have earned her informal honors within the academic and research communities.

Conclusion

Dr. Salma Ayari presents a strong case for the Best Researcher Award in her field, especially given her specialization in digital marketing, her dedication to student mentorship, and her academic teaching experience. Her research is timely and applicable, which is essential for impactful contributions in marketing. Focusing on strengthening her publication portfolio and international presence would further solidify her standing and enhance her visibility in the field.

Publication Top Notes

“Muslims’ reluctance to social media campaigns about organ donation: an exploratory study”

Authors: Nouira, O., Ayari, S.

Journal: Journal of Islamic Marketing

Year: 2024

Volume/Issue/Pages: 15(7), pp. 1706–1721

Citations: 0

“Understanding the dynamics of unfollowing behaviour on TikTok: implications for interactive marketing”

Authors: Ayari, S., Nouira, O., Oueslati, K.

Journal: Journal of Decision Systems

Year: 2024

Citations: 0

“A Bibliometric Analysis on Artificial Intelligence in Marketing: Implications for Scholars and Managers”

Authors: Oueslati, K., Ayari, S.

Journal: Journal of Internet Commerce

Year: 2024

Volume/Issue/Pages: 23(3), pp. 233–261

Citations: 1

“Exploring the causes to unfollow social media influencers: A qualitative study”

Authors: Ayari, S., Oueslati, K., Ben Yahia, I.

Journal: Journal of Human Behavior in the Social Environment

Year: 2024

Citations: 2

“Proposal of a Measurement Scale and Test of the Impacts on Purchase and Revisit Intention”

Authors: Ayari, S., Yahia, I.B.

Journal: Journal of Telecommunications and the Digital Economy

Year: 2023

Volume/Issue/Pages: 11(3), pp. 1–18

Citations: 0

“Impacts of immersion on loyalty to guesthouse websites: The simultaneous effect of 3d decor and avatars in a hyper-real environment”

Authors: Ayari, S., Ben Yahia, I.

Journal: Journal of Marketing Communications

Year: 2023

Citations: 2

“Measuring E-Browsing Behaviour and Testing its Impact on Online Immersion”

Authors: Ayari, S., Yahia, I.B., Debabi, M.

Journal: Journal of Telecommunications and the Digital Economy

Year: 2022

Volume/Issue/Pages: 10(2), pp. 111–125

Citations: 2

“A specific language for developing business process by refinement based on BPMN 2.0”

Authors: Ayari, S., Hlaoui, Y.B., Ayed, L.B.

Conference: 16th International Conference on Software Technologies, ICSOFT

Year: 2021

Pages: pp. 489–496

Citations: 0

“A grammar based approach to BPMN model semantic preservation using refinement”

Authors: Ayari, S., Hlaoui, Y.B., Ayed, L.B.

Conference: International Computer Software and Applications Conference

Year: 2019

Volume/Pages: 2, pp. 549–554

Citations: 1

“Towards an Automatic Verification of BPMN Model Semantic Preservation During a Refinement Process”

Authors: Hlaoui, Y.B., Ayari, S., Ayed, L.J.B.

Conference: Communications in Computer and Information Science

Year: 2019

Volume/Pages: 1077, pp. 397–420

Citations: 1

Hafida bouarfa | Computer Science | Excellence in Research

Posted on 04/11/202404/11/2024 by ScienceFather

Mrs. Hafida bouarfa | Computer Science | Excellence in Research

Mrs. Hafida bouarfa, Université de Blida, Algeria

Professor at the Data Processing Department, University of Blida, Algeria, Hafida Bouarfa holds a Ph.D. in Data Processing and a Magister in Information Systems from H.E.C. Montreal. With extensive research on virtual organizations, she has published numerous articles in international journals and conferences, addressing topics like knowledge management and seismic evaluations. Passionate about education, she mentors students and collaborates on innovative projects. Married with two children, she balances her professional and family life while contributing significantly to the field of data processing. 📚✉️

Publication Profile

Google Scholar

Educational Background

Mrs. Hafida Bouarfa has an impressive educational background in Data Processing. She earned her Ph.D. in Data Processing with a focus on Information Systems from ESI (ex.INI) in Algiers, Algeria, in November 2004. Prior to that, she obtained her Magister in Information Systems from H.E.C. Montréal, Canada, in December 1991. Her journey began with an Engineer diploma in Data Processing, also from ESI (ex.INI) in September 1988. She laid a strong foundation with a General Certificate of Education in Mathematics in June 1983. 🎓📚

Research Focus

Mrs. Hafida Bouarfa’s research primarily focuses on the integration of advanced computing techniques in various domains. Her work includes big data analytics 📊, emphasizing decision-making processes and enhancing data-driven strategies. She explores ontology matching 🤖 and neural networks for information systems, aiming to improve knowledge management and retrieval. Additionally, her research addresses Internet of Things (IoT) 🔗 security through physical unclonable functions (PUFs) and mutual authentication protocols, contributing to safe and efficient communication networks. Bouarfa’s contributions to smart cities 🏙️ and fuzzy logic 🌫️ applications reflect her commitment to innovative solutions in technology and information management.

Publication Top Notes

A new model for integrating big data into phases of decision-making process | Cited by: 49 | Year: 2019 📊
Ontology matching using neural networks: survey and analysis | Cited by: 27 | Year: 2018 🤖
A survey on silicon PUFs | Cited by: 24 | Year: 2022 🔍
PUF-based mutual authentication and session key establishment protocol for IoT devices | Cited by: 23 | Year: 2023 🔐
Predicting students performance using decision trees: Case of an Algerian University | Cited by: 22 | Year: 2017 🎓
A new collaborative clustering approach for the Internet of vehicles (CCA-IoV) | Cited by: 17 | Year: 2020 🚗
Deep embedding learning with auto-encoder for large-scale ontology matching | Cited by: 15 | Year: 2022 🔗
Extension of commonKads for virtual organizations | Cited by: 15 | Year: 2003 🏢
Fuzzy probabilistic ontology approach: a hybrid model for handling uncertain knowledge in ontologies | Cited by: 13 | Year: 2019 🌫️
A new supervised learning based ontology matching approach using neural networks | Cited by: 12 | Year: 2019 📚

K ASHWINI | Computer Science | Best Researcher Award

Posted on 25/10/202425/10/2024 by ScienceFather

K ASHWINI | Computer Science | Best Researcher Award

K ASHWINI, National Institute of Technology Rourkela, India

K. Ashwini is a dedicated Ph.D. candidate in Computer Science and Engineering at NIT Rourkela, specializing in deep learning applications for grading diabetic retinopathy. She holds an M.Tech. from VSSUT Burla and a B.Tech. from Synergy Institute of Engineering & Technology, Dhenkanal. Her research includes notable publications, such as her work on CNN-based diabetic retinopathy grading in Biomedical Signal Processing and Control. Skilled in Python, MATLAB, and LaTeX, she has actively participated in workshops on machine learning and signal processing. Ashwini is fluent in Hindi, Telugu, and English.

Publication profile

google scholar

Academic Background

Ms. K. Ashwini is a Research Scholar in Computer Science and Engineering (CSE) at NIT Rourkela, currently pursuing her Ph.D., with her research focused on diabetic retinopathy grading using deep learning techniques. Her advanced studies in deep learning, combined with an M.Tech. in CSE from VSSUT Burla, highlight her dedication to exploring complex topics within biomedical and computational research. She has maintained a strong academic record throughout her studies, underscoring her commitment and expertise in her field.

Research Focus and Publications

Ashwini’s primary research area is in biomedical signal processing, specifically targeting diabetic retinopathy grading using CNNs and soft attention mechanisms. She has contributed a journal article to Biomedical Signal Processing and Control and presented multiple conference papers at reputable IEEE and Springer conferences, indicating her active participation in disseminating her research findings. Notably, her publications demonstrate her capacity to employ and innovate with advanced computational methods for impactful health-related applications, a relevant focus for this award.

Technical Skills and Training

Her technical skill set, including Python, MATLAB, and LaTeX, complements her research competencies. Ashwini’s training in SQL and experience with clustering and fraud detection in mobile networks contribute to a robust and versatile research portfolio. Her academic research skills and fluency in programming languages further solidify her qualifications as a proficient researcher in her domain.

Workshops and Professional Development

Ms. Ashwini has participated in several workshops and short-term training programs across India, including those focused on biomedical signal processing, machine learning, and image processing applications. Her engagement in diverse professional development initiatives, such as faculty development programs and national seminars, showcases her continuous effort to enhance her knowledge base and technical skills.

Publication top notes

Grading diabetic retinopathy using multiresolution based CNN

Soft attention with convolutional neural network for grading diabetic retinopathy

Application of Generalized Possibilistic Fuzzy C-Means Clustering for User Profiling in Mobile Networks

Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples

An intelligent ransomware attack detection and classification using dual vision transformer with Mantis Search Split Attention Network

Check for updates Modified Inception V3 Using Soft Attention for the Grading of Diabetic Retinopathy

Modified InceptionV3 Using Soft Attention for the Grading of Diabetic Retinopathy

Grading of Diabetic Retinopathy using iterative Attentional Feature Fusion (iAFF)

Conclusion

Ms. K. Ashwini exemplifies a suitable candidate for the Research for Best Researcher Award. Her specialized research in diabetic retinopathy grading, supported by a solid academic and technical background, positions her as a promising researcher. Her publications and active participation in workshops further validate her dedication and contributions to biomedical signal processing and computer vision applications, aligning well with the award’s criteria for excellence in research and innovation.

Noor .A. Rashed | Computer Science Award | Women Researcher Award

Posted on 28/09/202417/10/2024 by ScienceFather

Dr . Noor .A. Rashed | Computer Science Award | Women Researcher Award

Dr. Noor Rashid, Iraq

Dr. Noor Rashid is a Ph.D. candidate at the University of Technology, Baghdad, specializing in Computer Science. She earned her master’s degree from the University of al-Anbar in 2018. Her research covers areas such as Artificial Intelligence, secure data systems, machine learning, data mining, image processing, and project management automation. Her current focus is on optimization algorithms, particularly multi-objective optimization (2022-2023). Dr. Rashid has contributed significantly to the field, including her recent publication on evolutionary and swarm-based algorithms. She continues to advance AI and optimization research in her academic journey.

Publication profile

Google Scholar

Orcid

Employment

Dr. Noor Rashid is currently employed at the University of Technology, Baghdad, Iraq, in the Department of Computer Science. As a dedicated researcher and educator, she contributes to the university’s mission by advancing studies in Artificial Intelligence, secure data systems, and optimization algorithms. Her role involves teaching and mentoring students while conducting innovative research in multi-objective optimization and machine learning. Dr. Rashid’s work continues to impact both the academic community and the broader technological landscape through her involvement in cutting-edge computer science projects.

Education and Qualifications 🎓📜

Dr. Noor Rashid is currently pursuing her Ph.D. in Computer Science at the University of Technology, Baghdad, Iraq, from November 2021 to November 2024. Her doctoral research focuses on advanced areas such as optimization algorithms and Artificial Intelligence, contributing to cutting-edge technological advancements. Prior to this, Dr. Rashid earned her master’s degree from the College of Computer Science and Information Technology at the University of al-Anbar in 2018. Her academic background equips her with a strong foundation in secure data, machine learning, and project management systems, preparing her for continued success in the field.

Research Focus 🎯🔬

Dr. Noor Rashid’s research primarily focuses on Artificial Intelligence (AI), particularly in machine learning, optimization algorithms, and data mining. Her studies delve into complex areas such as multi-objective optimization and evolutionary algorithms, aiming to solve real-world computational problems. Additionally, Dr. Rashid has worked extensively on medical image processing, applying AI techniques like ANN and SVM to detect and classify diseases like diabetic retinopathy. Her research bridges the gap between AI and healthcare, making significant contributions to secure data, networks, and advanced algorithmic developments. 🚀🧠

Publication Top Notes

Diagnosis retinopathy disease using GLCM and ANN – N. Rashed, S. Ali, A. Dawood – J. Theor. Appl. Inf. Technol 96, 6028-6040, 2018 (Cited by: 4) 📖
Unraveling the Versatility and Impact of Multi-Objective Optimization: Algorithms, Applications, and Trends for Solving Complex Real-World Problems – N.A. Rashed, Y.H. Ali, T.A. Rashid, A. Salih – arXiv preprint, 2024 (Cited by: 2) 🌐
Advancements in Optimization: Critical Analysis of Evolutionary, Swarm, and Behavior-Based Algorithms – Rashed, Y.H. Ali, T.A. Rashid – Algorithms 17(9), 416, 2024 📑
ANN and SVM to recognize Texture features for spontaneous Detection and Rating of Diabetic Retinopathy – Rashed (Upcoming) 🔍

Jing Li | Cybersecurity | Best Researcher Award

Posted on 02/07/202402/07/2024 by ScienceFather

Dr. Jing Li | Cybersecurity | Best Researcher Award

Dr. Jing Li, University Technology Malaysia, China

🎓 Dr. Jing Li is pursuing his PhD in Computer Science at University Technology Malaysia (UTM) since 2021. He holds a Master’s in Information Management from ZheJiang University and a Bachelor’s in Computer Science from China JiLiang University. With over 15 years in the ICT industry, he specializes in networking, cybersecurity, and IoT. His research interests span IoT security, digital forensics, big data, and machine learning. Dr. Li has authored several publications in prestigious journals and is an active member of IEEE. He is also proficient in AI-based scientific research tools

Publication profile

Scopus

Education 🎓

Dr. Jing Li is currently pursuing his PhD in Computer Science at University Technology Malaysia (UTM), where he also holds an International Doctoral Scholarship. He earned his Master’s degree in Information Management from ZheJiang University and a Bachelor’s in Computer Science from China JiLiang University, Hangzhou.

Professional Experience 💼

Dr. Li has held roles including Technical Co-founder at Hangzhou Yunmei Technology Co., Ltd., Product Architect at ArcSoft (Hangzhou) Technology Co., Ltd., and Software Engineer at Aerohive Networks, inc. His expertise spans networking, cybersecurity, IoT, and machine learning.

Research Focus

Dr. Jing Li’s research focuses on enhancing IoT security through advanced machine learning techniques. His work primarily explores feature selection and reduction methods for improving intrusion detection systems in IoT environments. Through critical reviews and comparative studies, Dr. Li aims to optimize classification models, contributing significantly to the fields of cybersecurity and digital forensics. His research, published in prestigious journals like the Journal of Big Data and Intelligent Systems with Applications, underscores his expertise in applying AI-driven solutions to mitigate IoT security risks. Dr. Li’s efforts are pivotal in advancing the understanding and implementation of robust security measures in interconnected systems. 🔒

Publication Top Notes

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

Enhancing IoT security: A comparative study of feature reduction techniques for intrusion detection system

A critical review of feature selection methods for machine learning in IoT security

Menatalla Abououf | Event Detection Award | Best Researcher Award

Posted on 23/04/202423/04/2024 by ScienceFather

Mrs. Menatalla Abououf | Event Detection Award | Best Researcher Award

Mrs. Menatalla Abououf, Khalifa University, United Arab Emirates

Menatalla Abououf is a Research Engineer at Khalifa University’s Center for Cyber-Physical Systems in Abu Dhabi, UAE. With a Master’s degree in Electrical and Computer Engineering, she has over five years of experience in cyber security research, teaching, and curriculum development. Her expertise spans software and hardware, including AI, IoT, and blockchain. She’s published in esteemed journals, presented at conferences, and received awards for her contributions to IoT data monetization and more. Fluent in English and Arabic, Menatalla is known for her adaptability, leadership, and commitment to advancing technology. 🌟🔒🔬

Publication Profile

Google Scholar

Education and Qualification

👩‍💼 Mrs. Menatalla Abououf brings over five years of versatile experience as a researcher, lab engineer, and teaching assistant, specializing in areas like Penetration Testing, Digital Forensics, and Advanced Operating Systems. Her extensive technical expertise spans both software and hardware domains, encompassing HPC, Kali Linux, Matlab, Python, C++, Assembly, Verilog, HTML, and CSS. Committed to advancing cybersecurity, she delivers training courses in related topics and pursues research in artificial intelligence, cyber security, crowdsensing/sourcing, internet of things, and blockchain. With a Master’s degree in Electrical and Computer Engineering and a Bachelor’s degree in Electrical and Electronic Engineering, both from Khalifa University, she maintains a stellar academic record with a GPA of 3.96 and 3.89, respectively. 🎓

Professional Experience

👩‍💼 Menatalla Abououf has amassed a rich professional portfolio, showcasing her expertise and dedication across various roles. As a Research Engineer at the Center for Cyber-Physical Systems, Khalifa University, she spearheads research on privacy and security in cyber-physical systems, while also serving as a pivotal figure in the Information Security department, contributing as a teaching assistant and lab engineer. Her commitment extends beyond academia, as seen in her role as a Trainer at the Cyber Security Academy, where she imparts knowledge and fosters practical skills in cybersecurity. Additionally, her contributions to curriculum development with the Ministry of Education reflect her commitment to shaping future generations. Her multifaceted roles as a Project Manager, Teaching Assistant, and Expert Judge underscore her versatility and leadership in various capacities within the educational and technological landscape. 🌐

Achievements

🏆 Menatalla Abououf’s achievements reflect her consistent dedication to academic excellence and professional growth. She received the prestigious IET Networks Premium Award for her outstanding paper on ‘Monetization of IoT data using smart contracts,’ showcasing her innovative contributions to the field. Her academic journey was marked by accolades such as the Khalifa University Scholarship and being designated a Top 20 student, President’s List, and Dean’s List awardee, demonstrating her exceptional academic performance. Additionally, her participation in competitions like the Khalifa University Programming Contest and Gulf Programming Contest highlights her prowess in problem-solving and programming. These achievements, coupled with her non-academic awards and professional certifications, underscore her commitment to excellence. 🎓

Research Focus

🔍 Menatalla Abououf’s research focus revolves around leveraging advanced technologies, particularly in artificial intelligence and machine learning, to address critical challenges in cyber-physical systems, mobile crowd sensing, and IoT monetization. Her work spans various domains, including privacy and security enhancement in cyber-physical systems, anomaly detection in IoT devices, and behavior-based recruitment models in mobile crowd sourcing. Through her publications and contributions to prestigious conferences, she has demonstrated a deep understanding of these areas and a commitment to advancing knowledge in the field. Her interdisciplinary approach underscores her versatility and dedication to tackling complex issues at the intersection of technology and society. 🌐