Sandeep Jain | Engineering | Editorial Board Member

Dr. Sandeep Jain | Engineering | Editorial Board Member 

Sungkyunkwan University, Republic of Korea | India

Dr. Sandeep Jain is an emerging researcher in metallurgical engineering and materials science, recognized for his strong academic record and diverse research experience across leading institutions in India and South Korea. His scholarly contributions reflect consistent growth, supported by 339 citations, 29 documents, and an h-index of 14, demonstrating both productivity and influence in the fields of alloy design, high-temperature materials, and computational materials engineering. His research spans multicomponent alloy development, high-entropy alloys, solidification simulation, and machine-learning-driven materials design, contributing to advanced structural and lightweight alloy systems. As a Postdoctoral Researcher at Sungkyunkwan University, he focuses on designing lightweight multicomponent alloys through machine-learning predictions of mechanical properties and optimizing injection-molding parameters using integrated simulation tools. His previous roles at IIT Delhi and IIT Indore strengthened his expertise in EBSD, XRD, creep behavior studies, solidification simulation, and alloy design through integrated computational approaches. With extensive teaching experience, he has assisted in courses on material science, solidification, computational modeling, mechanical workshop practices, and physical metallurgy, reflecting a strong commitment to academic mentorship. Dr. Jain has presented his work at multiple international conferences in India and abroad, and has actively contributed to academic workshops, cultural events, and technical festivals. His research interests include alloy development for high-strength and high-temperature applications, machine-learning-based materials design, high-entropy alloys, additive manufacturing, and advanced materials characterization. Driven by a passion for innovation and interdisciplinary collaboration, he aims to pursue impactful research as a Postdoctoral Fellow or Assistant Professor in a globally competitive academic environment.

Profile: Scopus  | Orcid

Featured Publications 

Jain, S., Jain, R., Saxena, N. V., Bux, S., Mourya, R. S., Lee, J., Han, H., Bhowmik, A., & Park, N. (2026). Predicting the magnetic behaviour of CoFeNi high entropy alloys: Reducing experimental dependency through machine learning approaches. Materials Letters.

Jain, S., Wagri, N. K., Arya, M., Bhowmik, A., & Park, N. (2025). Predicting the magnetic behaviour of homogenized CoCrFeNiAlx high entropy alloys at different aluminium content and temperatures: Reducing experimental dependency through machine learning approaches. Materials Chemistry and Physics.

Dhanush Manikandan | Engineering | Best Researcher Award

Mr. Dhanush Manikandan | Engineering | Best Researcher Award

Mr. Dhanush Manikandan, Kumaraguru college of technology, India.

Dhanush Manikandan is a motivated engineering professional with a B.E. in Aeronautical Engineering from Kumaraguru College of Technology. With 1.5 years of internship experience in Computational Fluid Dynamics (CFD) and Part Modeling, he has worked on cutting-edge projects involving ducted drones and micro gas turbines. Dhanush has published research in leading journals and holds certifications in Advanced NDT Testing and Composite Manufacturing. 🌟 He is passionate about aerodynamics and aerospace research. ✈️

👨‍🎓Profile

🎓 Early Academic Pursuits

Dhanush Manikandan is currently pursuing a B.E. in Aeronautical Engineering at Kumaraguru College of Technology, Coimbatore, with an impressive CGPA of 8.4. He has also completed a minor in Cybersecurity, broadening his technical acumen.

🧪 Professional Endeavors

With 1.5 years of internship experience, Dhanush has worked with leading organizations such as Exaslate (Remote), Next Leap Aeronautics (Hybrid), and KCIRI (Onsite). His work revolved around CFD simulation, dynamic mesh analysis, and aerospace component design.

🔬 Contributions and Research Focus On Engineering 

Dhanush focuses on Computational Fluid Dynamics (CFD), structural integrity, and aerodynamics. His design innovations include a double-ducted drone, and he is actively engaged in projects exploring propeller performance, gust load dynamics, and vibro-structural behavior.

🌍 Impact and Influence

His interdisciplinary research has been recognized through publication in reputed journals. These include Results in Engineering Journal and a submission to Ain Shams Engineering Journal, reflecting the academic value of his work in advancing drone technology and CFD applications.

🧠 Research Skills

  • CFD Analysis using ANSYS Fluent and OpenFOAM

  • Turbomachinery Simulation with Ansys Turbo-Workflow

  • Propeller & Wing Performance Testing

  • ML Modeling in fluid dynamics

🏅 Awards and Honors

  • MGS Award for academic performance

  • Best Volunteer Award from Aeromodelling Club of KCT

  • Volunteer for CFD course by Exaslate

🔮 Legacy and Future Contributions

Dhanush aims to continue advancing the field of aerospace through cutting-edge CFD techniques, innovative drone designs, and R&D in turbomachinery. His dedication to academic excellence and hands-on engineering solutions ensures a lasting impact on the future of aerial systems.

Publications Top Notes

Investigation of Advanced Propellers for Augmented Aerodynamics and Vibro-Structural Integrity in Complex Double-Ducted Drones: An Interdisciplinary Approach 🚁