Nuha Aljuneidi’s expertise lies at the intersection of thermal sciences, renewable energy integration, and sustainable building systems. Her research focuses on thermal energy storage to enhance the efficiency of HVAC and renewable energy systems. Her doctoral research pioneered experiments and computations to optimize the performance of latent heat storage systems for residential and commercial use. Aljuneidi is dedicated to developing sustainable energy solutions for the built environment. She is skilled in computational fluid dynamics (CFD), advanced heat transfer analysis, and the development of novel analytical models.
With a strong background in both industry and academia, Aljuneidi brings practical experience in mechanical design to her teaching and research. She will advise undergraduate capstone projects and graduate student research. Her teaching philosophy emphasizes real-world engineering challenges and project-based learning to bridge theory with practical application. Aljuneidi will assist LTU students in transforming thermal science into real-world solutions to redefine the built environment!
Mohammadmahdi Davoudi, an expert in computational and experimental mechanics, brings over a decade of research and industry experience to LTU.
Davoudi specializes in designing and analyzing automotive and structural systems using advanced simulation tools such as ABAQUS, ANSYS, COMSOL, HyperWorks, MATLAB, and python.
His research explores computational solid mechanics, structural optimization, and multiphysics simulation to enhance automotive and aerospace structures, develop triboelectric nanogenerators (TENG), and predict the performance of advanced materials.
With multiple patents—including an Energy Harvest and Restore Braking (EHRB) System and a Triboelectric Nanogenerator Tester—and numerous publications in peer-reviewed journals, Davoudi brings advanced solutions to the automotive, aerospace, energy, and manufacturing fields. He continues to bridge the gap between theoretical mechanics and practical industrial application through numerous industry-academia collaborations.
Drawing from his research and extensive experience, Davoudi guides the next generation of LTU engineers to innovate and address real-world challenges in automotive, aerospace, and the energy sectors.
Manisha Guduri brings scholarship, teaching, and leadership in electrical and computer engineering to LTU! Guduri’s research is interdisciplinary, integrating AI, Very-Large-Scale Integration(VLSI), Computer-Aided Design (CAD), and biomedical applications. She has made significant contributions to the design of ultralow-power nanoscale circuits for portable and wearable devices. She has several patents, edited books, and has authored over 76 peer-reviewed publications.
Guduri is a committed educator with extensive experience teaching a diverse range of undergraduate and graduate courses. Guduri’s expertise and passion for teaching will open pathways for discovery and collaboration and inspire LTU students to push boundaries, embrace innovation, and become purpose-driven engineers.
Mohammad Hassanzadeh is an expert in Artificial Intelligence. His research focuses on machine learning and AI approaches across a wide range of fields, including engineering, healthcare, biomedical sciences, bioinformatics, data science, computer science, and mathematics.
Hassanzadeh is currently engaged in projects applying AI to healthcare, biomedical sciences, data science, autonomous vehicles, cybersecurity, financial markets, renewable energy, intelligent agents, and large language models.He has published numerous peer-reviewed articles focusing on the intersection of AI, machine learning, engineering, and mathematics. Hassanzadeh is committed to student development and has designed and taught a wide range of graduate and undergraduate courses. He is dedicated to empowering students with theory and practical skills to develop engineers ready to address global challenges.
Md Jahidur Rahman is a dedicated educator and researcher with a background in renewable energy systems and smart grid technologies.
Through addressing significant challenges like power flow stability, frequency control, battery management, and harmonic mitigation in high-penetration renewable energy networks, Rahman’s research aims to enhance the stability, effectiveness, and sustainability of modern power grids. Rahman has vast experience in creating and implementing advanced control algorithms—such as PID, fuzzy logic, and nonlinear controllers—as well as designing power converters and filters to enhance grid efficiency.
Rahman is the author of numerous peer-reviewed publications and received the Excellence Thesis Award for his PhD research, laying the groundwork for his ongoing research on energy storage and distributed generation. Through his instruction, Rahman will prepare LTU students to transform the energy industry with innovative solutions for a more sustainable world.
Jegan Rajendran brings over 15 years of dedicated experience in teaching and research to LTU! His work, grounded in electrical and computer engineering, focuses on developing embedded technologies to make medical diagnosis accessible and efficient.
Rajendran’s research focuses on designing and fabricating flexible circuits, biosensors, self-powered wearable devices, machine learning, and point-of-care diagnostic systems. He holds four international patents and has authored more than 70 peer-reviewed research articles. His recent work involves designing small electrochemical devices to detect biomarkers and creating systems for sustainable wearable electronics.
Rajendran was at the forefront of bioelectronics and sensor technology as a postdoctoral research associate at both Purdue University and Old Dominion University in the United States. Rajendran is committed to advancing healthcare technology through embedded systems design and is passionate about mentoring the next generation of engineers. He teaches core courses in electrical and computer engineering, and guides students through the capstone design process, empowering them to engineer the future of technology.
By: Nurzahan Rahman
