Dr Sepideh jahaniVakilKandi | Electrical Control Engineering | Best Researcher Award

Dr Sepideh JahaniVakilKandi | Electrical Control Engineering | Best Researcher Award

Dr Sepideh jahani VakilKandi , University of Zanjan , Iran

A passionate researcher in โšกElectrical Control Engineering, this Ph.D. graduate from the University of Zanjan specializes in cyber-physical systems ๐Ÿ›ก๏ธ, machine learning ๐Ÿค–, and system security ๐Ÿ”. Her research journey began at the University of Tabriz and continues with an ambitious path toward postdoctoral studies ๐Ÿ“š. With a strong foundation in robust adaptive control and a keen interest in intelligent systems like self-driving cars ๐Ÿš—, she aims to shape future innovations in both academia and industry. Her work demonstrates diligence, innovation, and a relentless drive to advance control systems that withstand modern technological threats. ๐ŸŒŸ

Professional Profile

SCOPUS

Education & Experienceย 

She earned her ๐ŸŽ“ B.Sc. and M.Sc. in Electrical Control Engineering from the University of Tabriz, where she worked on wind turbine systems and intelligent heart rate control ๐Ÿƒโ€โ™€๏ธโค๏ธ. Her Ph.D. from the University of Zanjan (2018โ€“2025) focused on the resilient control of cyber-physical systems under cyber-attacks ๐Ÿ›ก๏ธ๐Ÿ’ป. Her academic journey includes hands-on research in quadrotor modeling ๐Ÿš, robotic manipulator control ๐Ÿค–, and fuzzy adaptive systems. Through various assistantships and development projects, she has cultivated strong analytical, modeling, and programming skills crucial for advanced control system design. ๐Ÿ“ˆ

Professional Developmentย 

She has actively engaged in applied R&D throughout her academic career ๐Ÿ”ฌ. From designing robust Hโˆž controllers for quadrotors ๐Ÿš to developing terminal sliding-mode controllers for robotic manipulators ๐Ÿค–, her work bridges theory with real-world application. Her skill set includes adaptive control, fuzzy logic, reinforcement learning, and Lyapunov-based system stability proofs ๐Ÿง ๐Ÿ“. She embraces continuous learning, participating in workshops, collaborative labs, and peer research forums ๐Ÿ“š๐ŸŒ. With a deep interest in future tech and cyber resilience, she continues to enhance her professional capabilities through technical training and interdisciplinary innovation. ๐Ÿ’ก

Research Focus Areaย 

Her research domain spans Cyber-Physical Systems (CPS), System Security ๐Ÿ›ก๏ธ, Malware Analysis ๐Ÿ›, Robust Control Systems โš™๏ธ, and Reinforcement Learning ๐Ÿค–. These fields address the intersection of hardware reliability and software securityโ€”critical in a world of autonomous systems and AI-integrated infrastructure ๐ŸŒ. She particularly excels in building resilient control frameworks that endure cyber-attacks and unpredictable environmental factors. Her studies merge traditional control theory with modern techniques like fuzzy logic and deep learning ๐Ÿง . Her goal is to push the frontier of secure, adaptive, and intelligent control systems for robotics, autonomous vehicles ๐Ÿš˜, and networked infrastructure systems. ๐ŸŒ

Awards and Honorsย 

Although early in her career, her academic excellence and research rigor have earned her recognition in university research circles ๐ŸŽ“๐Ÿ†. Her participation in funded projects at the University of Tabriz and Zanjan, and contributions to CPS resilience under cyber threats, have positioned her as a promising researcher in control engineering ๐Ÿ”ฌ๐Ÿ’ช. She has received commendations for innovative modeling techniques, contribution to R&D labs, and academic presentations at technical conferences ๐Ÿ“ข. Her work on intelligent control systems and fuzzy adaptive designs continues to gain traction, setting her up as a future leader in robust automation and cyber-secure technologies. ๐ŸŒŸ๐ŸŽ–๏ธ

Publication Top Notes

1.Robust Model Predictive Control of Cyber-Physical LPV Systems
S. Jahani, F. Bayat, A. Jalilvand
2023 | IEEE ICEE Conference
DOI: 10.1109/ICEE59167.2023.10334679
โœ… Developed a Robust Model Predictive Control (RMPC) framework for Linear Parameter Varying (LPV) systems under deception attacks and disturbances. Demonstrated significant resilience and precision, ideal for real-world cyber-physical applications.

2.Cyber-Physical Systems Under Hybrid Cyber-Attacks
S. Jahani, F. Bayat, A. Jalilvand
2025 | ISA Transactions (Elsevier)
DOI: 10.1016/j.isatra.2025.05.011
โœ… Introduced a Resilient Event-Triggered Hโˆž Control strategy, capable of defending against hybrid attacks (DoS + deception). Offers a balance between security and efficient communication in networked control systems.

3.Adaptive Control of Autonomous Electric Vehicles (Under Review)
S. Jahani, F. Bayat, A. Jalilvand
2025 | Submitted to Intelligent Vehicle Journal
โœ… Proposes an adaptive event-triggered control for electric vehicles facing actuator faults and cyber-attacks. A major contribution to fault-tolerant autonomous driving systems under uncertain cyber environments.

4. Event-Triggered Consensus in Multi-Agent Systems (Under Review)
S. Jahani, F. Bayat, A. Jalilvand
2025 | Submitted to Computational and Applied Mathematics
โœ… Investigates multi-agent consensus control using event-triggering and Hโˆž robustness. Ensures stability and synchronization among agents in presence of multiple cyber intrusions, applicable in swarm robotics and smart grids.

Conclusion

With a consistent track record of scientific excellence, innovative methodologies, and relevance to pressing technological issues, S. Jahani is highly deserving of the Best Researcher Award. Her vision toward secure, intelligent, and resilient systems positions her as a future leader in smart automation and control engineering.

Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Dr. Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Corresponding Author, Ferdowsi university of Mashhad,Iran

Dr. Vahideh Bafandegan Emroozi is a rising academic with a robust publication record, collaborative outlook, and applied interdisciplinary focus. Her work on supply chain optimization, IoT integration, and human reliability is timely and contributes to both industrial efficiency and sustainable development.

Professional Profile:

Scopus

Google scholar

๐ŸŽ“ Education

Vahideh Bafandegan Emroozi holds a Ph.D. in Industrial Management from Ferdowsi University of Mashhad, Iran (2019โ€“2024), with a remarkable GPA of 19.49 out of 20. Her doctoral thesis focuses on developing a maintenance planning model using the Internet of Things (IoT) while accounting for human error. She earned her M.Sc. in Industrial Management from the same university in 2017, graduating with a GPA of 18.96. She began her academic journey with a B.Sc. in Industrial Engineering at Ferdowsi University, graduating in 2012.

Professional Experience

Dr. Bafandegan Emroozi has served as a research fellow at Sanabad University (2023โ€“2024) and Ferdowsi University of Mashhad (2021โ€“2023). In these roles, she has contributed to various multidisciplinary projects focusing on optimization, reliability, and maintenance strategies within industrial systems.

Skills

She brings a strong technical toolkit that includes programming and modeling in Python, MATLAB, GAMS, Vensim, LINGO, LaTeX, UCINET, and Minitab. She is also proficient in MICMAC and Microsoft Office applications, reflecting a solid foundation in both qualitative and quantitative analysis.

Research Interests

r research spans multiple domains, including supply chain management, optimization, maintenance and reliability, human error analysis, inventory control, system dynamics, and mathematical modeling. Her work often explores the intersection of advanced technologies (e.g., IoT) with human-centered decision-making.

โœ… Conclusion

Women Researcher Award: Strongly Recommended.ย Her academic output, innovative scope, and relevance to modern global challenges make her an excellent candidate.ย Best Researcher Award: Recommended with Reservations.ย She is well on her way, but continued growth in citations, funding, and global recognition would strengthen her case in the future.

Publicationย Top Notes:

  • Modares, A., Kazemi, M., Bafandegan Emroozi, V., & Roozkhosh, P. (2023). A new supply chain design to solve supplier selection based on internet of things and delivery reliability. Journal of Industrial and Management Optimization, 19(11), 7993โ€“8028. Cited by: 39

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain. Journal of Industrial and Management Optimization, 19(5), 3075โ€“3106. Cited by: 32

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A new model to design the suppliers portfolio in newsvendor problem based on product reliability. Journal of Industrial and Management Optimization, 19(6), 4112โ€“4151. Cited by: 25

  • Bafandegan Emroozi, V., Roozkhosh, P., Modares, A., & Roozkhosh, F. (2023). Selecting green suppliers by considering the internet of things and CMCDM approach. Process Integration and Optimization for Sustainability, 7(5), 1167โ€“1189. Cited by: 19

  • Bafandegan Emroozi, V., & Fakoor, A. (2023). A new approach to human error assessment in financial service based on the modified CREAM and DANP. Journal of Industrial and Systems Engineering, 14(4), 95โ€“120. Cited by: 19

  • Bafandegan Emroozi, V., Kazemi, M., Doostparast, M., & Pooya, A. (2024). Improving industrial maintenance efficiency: A holistic approach to integrated production and maintenance planning with human error optimization. Process Integration and Optimization for Sustainability, 8(2), 539โ€“564. Cited by: 18

  • Modares, A., Motahari, N., & Bafandegan Emroozi, V. (2022). Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making. Industrial Management Journal, 14(1), 115โ€“142. Cited by: 18

  • Bafandegan Emroozi, V., Modares, A., & Roozkhosh, P. (2024). A new model to optimize the human reliability based on CREAM and group decision making. Quality and Reliability Engineering International, 40(2), 1079โ€“1109. Cited by: 16

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran). Journal of Optimization in Industrial Engineering, 16(1), 129โ€“140. Cited by: 15

  • Emroozi, V. B., Kazemi, M., Modares, A., & Roozkhosh, P. (2024). Improving quality and reducing costs in supply chain: the developing VIKOR method and optimization. Journal of Industrial and Management Optimization, 20(2), 494โ€“524. Cited by: 1