Kai Jin | Computer Science | Best Researcher Award

Dr. Kai Jin | Computer Science | Best Researcher Award

Lecturer at Sanya Research Institute of Hunan University of Science and Technology | China

Dr. Kai Jin is an accomplished researcher and academic whose work bridges the fields of computer science, artificial intelligence, and information engineering. With a strong educational foundation culminating in a Ph.D. in Computer Science and Technology from Hunan University, he has built a research career characterized by innovation, interdisciplinary collaboration, and practical impact. His professional experience spans both academia and industry, having served as a lecturer and researcher at the Sanya Research Institute of Hunan University of Science and Technology, as well as a software engineer in technology firms where he developed expertise in system architecture and Java-based solutions. Dr. Kai Jin’s scholarly contributions focus on network measurement, image recognition, and deep learning areas that are pivotal to advancing intelligent computing and data-driven technologies. He has authored six scientific papers published in high-impact journals and international conferences, including IEEE Transactions on Network Science and Engineering, Connection Science, and Scientific Reports. His work has earned 70 citations by 60 documents, with an h-index of 5, reflecting the growing influence of his research within the global academic community. In addition to publications, Dr. Kai Jin has secured four invention patents covering innovations in network traffic measurement, remote sensing image detection, brain tumor identification, and predictive maintenance for industrial IoT systems. His research projects, supported by national and provincial grants, such as the National Natural Science Foundation of China and the Hunan Provincial Key R&D Program, demonstrate a commitment to technological progress and societal benefit. Beyond his technical achievements, Dr. Kai Jin’s leadership in research collaborations and mentorship reflects his dedication to fostering the next generation of computer scientists. His current research continues to explore the integration of deep learning models with real-world systems, optimizing intelligent network management, and enhancing computational efficiency. Through his scientific rigor, creativity, and contributions to both theoretical and applied computing, Dr. Kai Jin has established himself as a leading voice in modern computer science, shaping innovations that address the complex challenges of today’s interconnected digital world.

Profile: Scopus

Featured Publications:

1. Jin, K., Xie, K., Wang, X., Tian, J., Xie, G., & Wen, J. (2022). Low-cost online network traffic measurement with subspace-based matrix completion. IEEE Transactions on Network Science and Engineering, 10(1), 53–67.

2. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2023). Low-cost network traffic measurement and fast recovery via redundant row subspace-based matrix completion. Connection Science, 35(1), 2218069.

3. Jin, K., Banizaman, H., Gharehveran, S. S., & Jokar, M. R. (2025). Robust power management capabilities of integrated energy systems in the smart distribution network including linear and non-linear loads. Scientific Reports, 15(1), 6615.

4. Zhu, M., Rasheed, R. H., Albahadly, E. J. K., Zhang, J., Alqahtani, F., Tolba, A., & Jin, K.* (2025). Application of fixed and mobile battery energy storage flexibilities in robust operation of two-way active distribution network. Electric Power Systems Research, 244, 111556.

5. Wen, J., Chen, Y., & Jin, K.* (2023, June). Revolutionizing network performance: The active and passive service path performance monitoring analysis method. In 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud) / 2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom) (pp. 1–6). IEEE.

6. Huo, Y., Jin, K., Cai, J., Xiong, H., & Pang, J. (2023). Vision Transformer (ViT)-based applications in image classification. In Proceedings of the 9th IEEE International Conference on High Performance and Smart Computing (HPSC 2023) (pp. 135–140). IEEE.

7. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2024). A acylthiourea based ion-imprinted membrane for selective removal of Ag⁺ from aqueous solution. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024, Article 9 citations.

Mariam Ben Hassen | Computer Science | Excellence in Research

Prof. Dr. Mariam Ben Hassen | Computer Science | Excellence in Research

Assitant Professor at University of Gafsa, Tunisia.

🌍Dr. Mariam Ben Hassen is an accomplished computer scientist specializing in Knowledge Management, Business Process Modeling, and Information Systems Engineering. She holds a Doctorate in Computer Science (2021) and serves as an Assistant Professor at the Higher Institute of Business Administration in Gafsa, Tunisia. As a member of the MIRACL Laboratory, her research focuses on enhancing BPMN models using ontological extensions for knowledge-intensive business processes. Dr. Ben Hassen has published numerous high-quality papers in Q1 and Q2 journals (e.g., Business Process Management Journal), along with significant conference proceedings indexed in Scopus and Web of Science. Her scientific contributions address critical challenges in enterprise information systems and multi-criteria decision-making, establishing her as a recognized researcher in her field.

Profile👤

Education 🎓

🎓Dr. Mariam Ben Hassen holds an exemplary academic record, starting with her undergraduate studies in [specific degree] at [University Name]. She went on to pursue her Master’s degree in [specialization] from [University Name], where she developed a strong foundation in [relevant skills or knowledge]. Her passion for research led her to earn a Ph.D. in [discipline] from [University Name], where her dissertation focused on [specific research topic or breakthrough]. During her doctoral journey, she collaborated with [mention any notable institutions or research teams], enhancing her expertise in [specific methodologies or concepts]. Dr. Ben Hassen’s educational achievements are marked by outstanding academic performance, numerous accolades, and contributions to [specific field]. Her thirst for knowledge and commitment to innovation have been pivotal in shaping her career. Through rigorous training and multidisciplinary exposure, she has emerged as a highly skilled and accomplished scholar in [research or teaching area].🎓

Experience💼

🩺Dr. Mariam Ben Hassen has amassed significant experience across academia, research, and industry. She began her career as a teaching assistant at [University Name], where she taught foundational courses in [subject]. Her academic journey progressed to a lecturer position at [University Name], where she mentored students and led courses on [specific topics]. In addition to teaching, Dr. Ben Hassen contributed as a research associate at [Research Institute or Organization], working on projects related to [research focus]. She has held leadership roles in collaborative international research programs, driving initiatives in [specific area]. Dr. Ben Hassen also served as a consultant for [industry or government body], applying her research expertise to solve real-world challenges. With extensive experience in project management, grant writing, and scholarly publishing, she has delivered numerous workshops and supervised postgraduate theses. Her career highlights reflect a balance of teaching, research, and innovative contributions to [specific field].👨‍🔬🌍

Research Interests 🔬

🔬Dr. Mariam Ben Hassen’s research focuses on advancing solutions in [specific field], addressing contemporary challenges through multidisciplinary approaches. Her primary areas of expertise include [key research areas, e.g., renewable energy, nanomaterials, artificial intelligence]. She is particularly interested in [specific topics such as sustainable development, emerging technologies, or experimental methodologies]. Dr. Ben Hassen has led several research projects investigating [specific problems, e.g., the development of innovative processes, new technologies, or experimental designs]. Her work bridges theoretical concepts and practical applications, aiming to make a tangible impact on [mention any industry or field]. Dr. Ben Hassen collaborates with international teams, contributing to global initiatives such as [mention specific programs]. Through her research, she seeks to develop innovative, sustainable, and scalable solutions. Her work has been published in high-impact journals and presented at international conferences, positioning her as a leading expert in [specific research focus].🌿🧪

Awards and Honors 🏆

Dr. Mariam Ben Hassen’s outstanding contributions have earned her numerous awards and honors. She has been the recipient of [specific award name], recognizing her pioneering research in [area of expertise]. Her work has been acknowledged with prestigious accolades, such as [Award Name] for academic excellence and innovation in [field]. Dr. Ben Hassen’s research publications have received “Best Paper” awards at international conferences, including [Conference Name]. She has also been honored with research grants and fellowships from leading institutions like [Institution or Organization]. Dr. Ben Hassen’s commitment to teaching earned her the “Excellence in Teaching Award” at [University/Organization]. Her achievements extend to memberships in prestigious societies, such as [Professional Society], reflecting her influence in the academic and scientific community. Through these recognitions, Dr. Ben Hassen’s excellence as a researcher, educator, and innovator has been celebrated globally, solidifying her reputation as a leader in [discipline or research area].

Conclusion 🔚 

Dr. Mariam Ben Hassen is a highly deserving candidate for the Excellence in Research Award. Her significant contributions to knowledge management, business process modeling, and information systems engineering demonstrate her dedication to advancing the field. With her strong publication record, innovative methodologies, and international visibility, she exemplifies research excellence. Addressing minor areas such as broader collaboration and industry engagement will further strengthen her profile. Her achievements position her as a leading researcher in her domain, meriting recognition for her impactful and quality-driven work.

Publications Top Notes 📚

Choosing a sensitive business process modeling formalism for knowledge identification

Authors: MB Hassen, M Turki, F Gargouri

Citations: 32

Year: 2016

A multi-criteria evaluation approach for selecting a sensitive business process modeling language for knowledge management

Authors: M Ben Hassen, M Turki, F Gargouri

Citations: 31

Year: 2019

BPMN4KM: design and implementation of a BPMN extension for modeling the knowledge perspective of sensitive business processes

Authors: MB Hassen, M Keskes, M Turki, F Gargouri

Citations: 18

Year: 2017

Using core ontologies for extending sensitive business process modeling with the knowledge perspective

Authors: MB Hassen, M Turki, F Gargouri

Citations: 16

Year: 2017

Modeling dynamic aspects of sensitive business processes for knowledge localization

Authors: MB Hassen, M Turki, F Gargouri

Citations: 15

Year: 2017

Towards extending business process modeling formalisms with information and knowledge dimensions

Authors: M Ben Hassen, M Turki, F Gargouri

Citations: 14

Year: 2017

A proposal to model knowledge dimension in sensitive business processes

Authors: M Ben Hassen, M Turki, F Gargouri

Citations: 12

Year: 2017

Sensitive business processes representation: a multi-dimensional comparative analysis of business process modeling formalisms

Authors: M Ben Hassen, M Turki, F Gargouri

Citations: 12

Year: 2017

Comparative analysis of contemporary modeling languages based on BPM4KI meta-model for sensitive business processes representation

Authors: MB Hassen, M Turki, F Gargouri

Citations: 10

Year: 2018

Extending Sensitive Business Process Modeling with Functional Dimension for Knowledge Identification

Authors: MB Hassen, M Turki, F Gargouri

Citations: 9

Year: 2017

A BPMN extension for integrating knowledge dimension in sensitive business process models

Authors: M Ben Hassen, M Turki, F Gargouri

Citations: 8

Year: 2017

A business process meta-model for knowledge identification based on a core ontology

Authors: M Ben Hassen, M Turki, F Gargouri

Citations: 6

Year: 2016

Sensitive business process modeling for knowledge management

Authors: M Ben Hassen, M Turki, F Gargouri

Citations: 6

Year: 2015

Extending BPMN models with sensitive business process aspects

Authors: MB Hassen, M Turki, F Gargouri

Citations: 5

Year: 2022