Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

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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

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🎓 Education

Vahideh Bafandegan Emroozi holds a Ph.D. in Industrial Management from Ferdowsi University of Mashhad, Iran (2019–2024), 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 (2023–2024) and Ferdowsi University of Mashhad (2021–2023). 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.

âś… Conclusion

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

Publication 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), 7993–8028. 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), 3075–3106. 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), 4112–4151. 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), 1167–1189. 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), 95–120. 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), 539–564. 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), 115–142. 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), 1079–1109. 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), 129–140. 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), 494–524. Cited by: 1

Mr Ayush Tiwari | Biomedical Engineering | Best Researcher Award

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Mr Ayush Tiwari | Biomedical Engineering | Best Researcher Award

Junior Research Fellow at Indian institute of Technology Roorkee, India

Profile

google scholar

🌱 Early Academic Pursuits

Ayush Tiwari began his academic journey with a keen interest in science, evident from his secondary and higher secondary education at Tagore Montessori English Medium School, Balaghat. His passion for innovation led him to pursue a B.Tech in Biomedical Engineering from the Samrat Ashok Technological Institute (SATI), Vidisha, achieving a commendable 7.63 CGPA. His academic foundation set the stage for his expertise in biosensor design, medical device innovation, and computational techniques.

🛠️ Professional Endeavors

Ayush’s professional trajectory reflects his dedication to biomedical engineering. As a Junior Research Fellow at IIT Roorkee, he contributed to groundbreaking projects like developing a biosensor for early lung and oral cancer detection and creating devices for sleep apnea detection. His tenure at Fresenius Medical Care in Germany honed his technical and clinical expertise, where he supported the precision deployment of hemodialysis systems. Ayush also gained valuable experience during internships with Healthware Dornier Medtech Germany, Allied Medical Limited Delhi, and IIT Indore, among others, where he worked on advanced projects, including ventilator systems and nanoparticle diagnostics.

🔬 Contributions and Research Focus

Ayush’s research is deeply rooted in advancing healthcare through technology. His work on MXene graphene nanohybrid thin films for cancer biomarker detection and 3D-printed mechanical stretching devices demonstrates his innovative spirit. With a focus on non-invasive diagnostic tools, he has developed patents and published influential papers exploring the intersection of biosensors, biomedical devices, and mechanobiology. His interest in respiratory critical care and ultrasound-based therapeutic devices underscores his commitment to addressing healthcare challenges.

🏆 Accolades and Recognition

Ayush’s contributions have earned him several accolades, including the “Fresenius Medical Care Annual Star Award” and recognition as the “Rockie of the Year.” He was awarded a prestigious paid internship at Healthware and has been consistently lauded for his innovative projects, from ventilator systems during the COVID-19 pandemic to sustainable agricultural devices.

🌍 Impact and Influence

Ayush’s work has significantly impacted global biomedical research and healthcare innovation. His contributions to point-of-care devices and non-invasive diagnostics address critical healthcare gaps, particularly in resource-limited settings. His ability to blend engineering principles with medical needs has paved the way for cost-effective, user-friendly solutions that enhance patient care and diagnostic accuracy.

✨ Legacy and Future Contributions

Ayush Tiwari’s journey exemplifies the potential of engineering to revolutionize healthcare. With a portfolio of patents and publications, he has laid the groundwork for future innovations in biomedical technology. Ayush envisions expanding his work in non-invasive diagnostics, wearable medical devices, and point-of-care solutions, ensuring his contributions continue to shape the healthcare landscape for years to come.

Publications

  1. Title: Unveiling Mechanobiology: A Compact Device for Uniaxial Mechanical Stimulation on Nanofiber Substrates and Its Impact on Cellular Behavior and Nanoparticle Distribution

    • Authors: Soumyadeep Basak, Ayush Tiwari, Gopinath Packirisamy
    • Journal: ACS Applied Bio Materials
    • Year: 2024

  2. Title: MXene Graphene Nanohybrid Thin Film-Based Electrochemical Biosensors for Analyte Detection, Its Method of Preparation, and Applications Thereof

    • Authors: Ashish Kalkal, Ayush Tiwari, Deepanshu, Manoj, Pramod, Rangadhar, Gopinath Packirisamy
    • Journal: International Journal of Biological Macromolecules
    • Year: 2024

  3. Title: A Multimodal Approach to Sleep Apnea Detection: SpO2, and Force Sensitive Resistor Sensors in a Flexible 3D-Printed Wearable

    • Authors: [Not explicitly provided in the text, but presumably includes Ayush Tiwari and research collaborators]
    • Journal: [Not explicitly mentioned in the text, specify if needed]
    • Year: 2024