Parisa Jourabchi Amirkhizi | Social Manufacturing System | Best Researcher Award

Ms. Parisa Jourabchi Amirkhizi | Social Manufacturing System | Best Researcher Award

Lecturer at Tabriz Islamic Art University, Iran

Parisa Jourabchi Amirkhizi is a distinguished academic and researcher in the field of industrial design, currently serving as a faculty member at Tabriz Islamic Art University in Iran. Her work spans various aspects of design, including Industry 5.0, design economy, and applied artificial intelligence. With a strong educational background and extensive research contributions, she has made significant strides in advancing industrial design methodologies.

Profile

Google Scholar

Education

Amirkhizi holds a Master’s degree in Industrial Design from Tabriz Islamic Art University, where she focused on developing tools for personality evaluation in products using Iranian archetypes. Her undergraduate studies in the same field laid the foundation for her expertise in design strategies and innovation.

Experience

She has been a lecturer at multiple institutions, including Tabriz Islamic Art University, Seraj University, and College of NabiAkram. Her teaching portfolio covers subjects such as design management, cultural design, service design, and transportation design, reflecting her diverse expertise in industrial design.

Research Interests

Her research interests include Industry 5.0, industrial design, design economy, design management, and applied AI. She explores the integration of artificial intelligence in design processes and its implications for future industrial advancements.

Awards

Amirkhizi has received notable accolades, including the Best in Game Design and Software Section at the 2nd International Media Festival of Imam Reza in 2023 and the second-best award at the Urmia Lake Startup Festival in 2018.

Publications

She has contributed to several high-impact journals, including:

  1. “Redefining Value in the Age of Industry 5.0: Beyond Efficiency” – Corporate Social Responsibility and Environmental Management (2024).
  2. “Investigating the Use of Design Thinking in Identifying Wicked Problems of Start-ups” – Journal of Innovation and Entrepreneurship (2023).
  3. “Applying Design Management Strategies for Promoting Green Industry Innovation” – Journal of Recent Advances in Green Industries Innovation (2023).
  4. “Emotional Effects of Product Form in Individualist and Collectivist Cultures” – Journal of Marketing Communications (2023).
  5. “Optimal Design Method for Orthopaedic Footwear Insole Customisation Based on Anthropometric Data and NURBS System” – Journal of Design Research (2021).
  6. “A Research on the Use of Metaphor Design in Promoting Brand Identity” – Journal of Graphic Engineering and Design (2018).

Conclusion

Parisa Jourabchi Amirkhizi’s contributions to industrial design and applied AI have positioned her as a leading researcher in her field. Her work continues to shape the future of design methodologies, emphasizing innovation and sustainability in industrial applications.

Yanyu Wang | Innovation Management | Best Paper Award

Prof. Yanyu Wang | Innovation Management | Best Paper Award

Professor and The chair of the department at Beijing University of Posts and Telecommunications, China

Yanyu Wang currently serves as an Associate Professor and Supervisor of Master’s Candidates at the School of Economics and Management, Beijing University of Posts and Telecommunications. With a deep academic grounding in innovation strategy and enterprise digital transformation, Dr. Wang has established a reputation for advancing organizational studies within the realm of technology and management. Her research output, coupled with an active teaching portfolio, has positioned her as a leading voice in understanding how firms navigate complex innovation environments. Through her extensive academic career, she has remained committed to blending rigorous theoretical insights with practical applications that aid enterprises in addressing modern economic and technological challenges.

Profile

Scopus

Education

Yanyu Wang’s academic journey reflects a consistent pursuit of excellence and expertise across management disciplines. She earned her Ph.D. in Business Administration, focusing on Innovation, Entrepreneurship, and Strategy, from Tsinghua University, China, where she developed a strong research foundation in enterprise strategy and innovation systems. Prior to her doctoral studies, she completed an M.A. in Management Science and Engineering with a concentration in Quality Management at the Nanjing University of Aeronautics and Astronautics, China. Her academic journey commenced with a B.A. in Marketing from the same institution, where she was recognized as the top student in her cohort, having been admitted without examination. This diverse educational background provided her with a solid interdisciplinary understanding of technology management and business innovation.

Experience

Dr. Wang’s professional experience is rich and multifaceted, combining academic research, teaching, and international exposure. She has been serving as an Associate Professor since December 2019 and previously worked as a Lecturer from July 2016 to December 2019 at the School of Economics and Management, Beijing University of Posts and Telecommunications. Earlier, she broadened her academic horizons as a Visiting Scholar at the Rotman School of Management, University of Toronto, Canada, where she engaged with global scholars and enriched her perspectives on innovation strategy. Throughout her academic career, Dr. Wang has been deeply involved in delivering core courses such as Applied Statistics, Digital Innovation Strategy, and Corporate Technology Strategy, nurturing a new generation of business leaders and researchers.

Research Interest

Yanyu Wang’s research interests are primarily centered on innovation strategy, digital transformation of enterprises, and overseas R&D investments. She has explored how organizational characteristics, political influences, and policy interventions shape corporate innovation behaviors and strategies. Her work often adopts an interdisciplinary approach, merging concepts from organizational theory, strategic management, and technology studies to offer nuanced insights into enterprise growth and adaptation in dynamic environments. Dr. Wang is particularly interested in the imprinting effects of early-stage organizational experiences on long-term innovation outcomes, as well as the strategic considerations behind multinational enterprises’ R&D investments in foreign markets.

Award

Over the course of her career, Dr. Wang has received several prestigious honors recognizing her academic leadership and excellence. She was named a Youth Academic Leader by the Beijing Social Sciences Fund and recognized as a National Governance Youth Talent in Beijing. At the institutional level, she received multiple Outstanding Undergraduate Thesis Supervisor awards and was honored as an Advanced Individual of the School of Economics and Management. Her contributions to teaching were acknowledged with the First Prize and Second Prize in Teaching Achievements at BUPT. Additionally, during her doctoral studies at Tsinghua University, she was recognized as one of the Top 10 Academic Rising Stars, received the Outstanding Graduate Award, and won the First Prize for her Outstanding Doctoral Dissertation.

Publication

Yanyu Wang’s research contributions are reflected through impactful publications, often cited for their novel insights. Selected major works include:

“Policy Imprints: The impact of national innovation policy in firms’ founding period on subsequent innovation strategies,” published in R&D Management (2025, online);

“Visible hands: The impact of subsidy withdrawal on new energy vehicle enterprises’ innovation behaviors,” published in Energy Policy (2025, online);

“Excess IPO funds as an imprint: An imprinting perspective of acquisition activity,” in Asia Pacific Journal of Management (2023, early access);

“Political genes drive innovation: political endorsements and low-quality innovation,” in Structural Change and Economic Dynamics (2022, vol.60);

“Driving Factors of Digital Transformation for Manufacturing Enterprises: A Multi-case Study from China,” published in International Journal of Technology Management (2021, vol.87);

“What factors determine the subsidiary mode of overseas R&D by developing-country MNEs?” in R&D Management (2018, vol.48);

“Technological Capabilities, Political Connections and Entry Mode Choices of EMNEs Overseas R&D Investments,” published in International Journal of Technology Management (2019, vol.80); each of these articles has been cited in subsequent studies addressing corporate innovation strategies and digital enterprise development.

Conclusion

Dr. Yanyu Wang’s scholarly contributions in the fields of innovation strategy and digital transformation have established her as a significant figure in contemporary management research. By blending theoretical rigor with empirical investigation, she has provided valuable frameworks for understanding enterprise growth, technological capability development, and strategic adaptation. Her dedication to mentoring students, combined with her active research and participation in national-level projects, underscores her commitment to advancing academic and practical knowledge. Moving forward, her work promises to continue influencing both scholarly discussions and enterprise practices in the evolving digital economy landscape.

Ameni Chetouane | Computer Science | Best Researcher Award

Dr. Ameni Chetouane | Computer Science | Best Researcher Award

Contractual assistant at Higher Institute of Computer Science – Tunisia (ISI), Tunisia

Ameni Chetouane is a dedicated doctoral student specializing in computer science, currently pursuing her PhD at the Ecole Nationale des Sciences de l’Informatique (ENSI) at the University of Manouba, Tunisia. Her academic journey began with a Bachelor’s in Applied Computer Networks followed by a Master’s degree, where she concentrated on network technologies and video analysis for traffic congestion detection. She is deeply involved in research aimed at securing Software Defined Networking (SDN) systems against cyber-attacks using Artificial Intelligence (AI) methods.

Profile

Orcid

Education

Ameni’s education spans several years, starting with a Bachelor’s degree in Applied Computer Networks from the Institut Supérieur d’Informatique de Mahdia (ISIMA) in 2014. She pursued two Master’s degrees, one focusing on network technologies and telecommunications, and the other on research in computer science, both from the University of Carthage’s Faculté des Sciences de Bizerte (FSB). Her doctoral studies, commenced in 2021, are focused on the application of AI for intrusion detection systems (IDS) in SDN environments, with a goal to combat cyber-attacks.

Experience

Ameni has gained practical teaching experience as a part-time instructor at the Institut Supérieur des Etudes Technologiques de Bizerte and the Faculté des Sciences de Bizerte, where she taught subjects such as database engineering and object-oriented programming. Her internships, including research at LaBRI, University of Bordeaux, and her professional project at Millénia Engineering, have allowed her to apply theoretical knowledge in real-world network and software development projects.

Research Interests

Ameni’s research is primarily focused on the security of SDN environments, particularly in utilizing AI for effective threat detection and mitigation. Her doctoral thesis specifically explores AI-driven solutions for securing SDN systems against Distributed Denial of Service (DDoS) attacks. She aims to improve the performance of IDSs by incorporating machine learning (ML) and continual learning methods into SDN security architectures, ensuring adaptive and real-time defenses against evolving threats.

Awards

Ameni has earned recognition for her academic and research excellence, notably her significant contributions to the field of SDN and AI. Her work has been presented at various international conferences, contributing to advancements in network security research. While specific awards are not listed, her impact within the academic community, through her publications and conference participations, is considerable.

Publications

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “A comparative study of vehicle detection methods in a video sequence.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2019.

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “Vision-based vehicle detection for road traffic congestion classification.” Concurrency and Computation: Practice and Experience, 2022.

Ameni Chetouane, Sabra Mabrouk, and Mohamed Mosbah. “Traffic congestion detection: Solutions, open issues, and challenges.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2020.

Ameni Chetouane and Kamel Karoui. “A survey of machine learning methods for DDoS threats detection against SDN.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2022.

Ameni Chetouane, Kamel Karoui, and Ghayth Nemri. “An intelligent ML-based IDS framework for DDoS detection in the SDN environment.” International Conference on Advances in Mobile Computing and Multimedia Intelligence, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “DDoS detection approach based on continual learning in the SDN environment.” International Conference on Hybrid Intelligent Systems, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “Risk-based intrusion detection system in Software Defined Networking.” Concurrency and Computation: Practice and Experience, 2023.

Conclusion

Ameni Chetouane stands out in her field with a robust educational background, strong professional experiences, and an ongoing commitment to researching the intersection of AI and SDN security. Through her published works, she has made significant contributions to securing networks using intelligent methods, focusing on solving complex cyber threats in modern network infrastructures. As she continues her research, her work promises to shape the future of AI-driven cybersecurity in SDN environments.