As an assistant professor, I would have three main priorities. Firstly, my foremost responsibility would be to educate and motivate students, emphasizing the delivery of excellent lectures, the creation of captivating course materials, and the establishment of an inclusive and positive learning environment. My aim would be to cultivate critical thinking skills, promote active student engagement, and offer constructive feedback that facilitates their personal and academic growth and achievement. Secondly, I would place a high priority on engaging in innovative research, publishing influential papers, and presenting at conferences to contribute to the advancement of knowledge in my field. Actively seeking research collaborations with fellow scholars and mentoring graduate students would also be significant goals, as I strive to nurture their research abilities and foster their professional development. Lastly, I would prioritize being accessible and approachable to students, providing guidance on academic and career-related matters, and serving as a mentor. By endeavoring to comprehend their unique needs and aspirations, I would support them in making informed decisions regarding their educational and professional journeys. Additionally, I would actively participate in student organizations and extracurricular activities to promote a sense of community and enhance the overall student experience.
Student research guidance
Artificial intelligence and machine learning for materials science
I would like to seize this opportunity to outline my research plans, both short-term and long-term, that I intend to pursue. Building upon my experience in M.Tech. and Ph.D., I have developed a strong foundation in areas such as electrochemistry, nanochemistry, powder metallurgy, and materials characterization. My research background encompasses electrophoretic deposition, nanocomposites fabrication through powder metallurgy, synthesis of active materials, and performance evaluation. Additionally, I possess expertise in electrodeposition, electrophoretic deposition, powder metallurgy, as well as exposure to other synthesis methods like hydro/solvothermal and wet chemical routes. Leveraging my aforementioned skillset, I aim to accomplish the following research objectives Investigate the different fabrication methods to synthesize aluminum dual matrix composites. Assess the mechanical, thermal, and electrical properties of these composites. Optimize the electrodeposition process for producing aluminum composites. Analyze the microstructure and phase composition of the fabricated composites. Conduct a comprehensive review of the existing literature related to aluminum composites, dual matrix composites, and electrodeposition techniques. Develop appropriate mixing techniques to achieve a homogeneous distribution of reinforcement within the aluminum matrix. Analyze the collected data using different statistical methods and interpret the results and draw conclusions based on the research objectives. The novelty of this synthesis method lies in optimizing the process parameters to obtain the desired properties of the dual matrix composites. The process parameters may include factors such as powder composition, particle size distribution, mechanical activation duration, compaction pressure, sintering temperature, and time. By carefully controlling these parameters, the researchers can tailor the microstructure and properties of the composites to meet specific requirements, such as improved mechanical strength, wear resistance, or thermal conductivity. Overall, this synthesis method offers a unique approach to fabricating dual matrix composites by combining powder metallurgy and mechanical activation-assisted solid-state combustion synthesis, with the novelty residing in the optimization of process parameters to achieve the desired properties.
MS-word
MS-powerpoint
MS-Excel
Origin and origin Pro (Plotting and data analysis)
Image J (Image analysis)
JMatPro (For making CCT, TTT curves)
Thermocalc
Artificial intelligence and machine learning for materials science
Workshop on Density Functional Theory Modelling of Materials