Preethi Iype | Neural Networks | Best Researcher Award

Posted on by sciencefather

Mrs. Preethi Iype | Neural Networks | Best Researcher Award

Asst. Professor at St. Thomas Institute for Science and Technology, India

Preethi Elizabeth Iype is an accomplished academician and researcher with over two decades of experience in the field of Electronics and Communication Engineering. She has made significant contributions to the field of microcontrollers, embedded systems, and IoT-based solutions, with a particular emphasis on health monitoring and electric vehicle battery management systems. Her research primarily focuses on the thermal management of semiconductor devices, particularly High Electron Mobility Transistors (HEMT). Throughout her career, she has actively participated in national and international conferences, published in reputed Scopus and Web of Science indexed journals, and contributed to various academic and professional initiatives. She currently serves as an Assistant Professor at St. Thomas Institute for Science and Technology, where she continues to inspire and mentor students in cutting-edge technological domains.

Profile

Scopus

Education

Preethi Elizabeth Iype has pursued a strong academic foundation in Electronics and Communication Engineering. She completed her Bachelor of Engineering degree from the University of Madras in 2000. Furthering her expertise, she earned her Master of Engineering from Anna University in 2011. Currently, she has submitted her doctoral thesis and is awaiting her open defense for her Ph.D. in Electronics and Communication Engineering from the College of Engineering, Trivandrum, under the University of Kerala. Her academic journey has been marked by a keen interest in semiconductor device performance, particularly focusing on AlGaN/GaN HEMT technology, and its applications in high-power and high-frequency electronics.

Professional Experience

Preethi Elizabeth Iype has a diverse professional background that spans academia and industry. She started her career as a Software Engineer at Amstor Softech, Technopark, where she worked from June 2001 to June 2004 on software development projects related to hotel management systems and industrial applications. Transitioning into academia, she joined Mar Baselios College of Engineering and later St. Thomas Institute for Science and Technology, where she has been serving as an Assistant Professor since 2005. Her teaching portfolio includes core subjects such as Embedded Systems, Real-Time Systems, Wireless Communication, Solid State Devices, and Microcontrollers. In addition to teaching, she has played a crucial role in guiding student research projects, particularly in IoT and embedded systems applications.

Research Interests

Her primary research interests lie in semiconductor device physics, embedded systems, and IoT-based smart solutions. Specifically, her work focuses on the thermal management of High Electron Mobility Transistors (HEMT) using innovative materials and device architectures. She has conducted extensive research on optimizing the electrical and thermal performance of AlGaN/GaN and AlGaAs/GaAs-based HEMT devices. Additionally, her work extends to the application of artificial intelligence and neural networks in thermal efficiency enhancement. Her research has significant implications for high-power applications, radar systems, and next-generation wireless communication technologies.

Awards and Recognitions

Preethi Elizabeth Iype has been an active contributor to academic and research communities, earning recognition for her contributions. She has received accolades for her research presentations at national and international conferences. As a coordinator and SPOC for the NPTEL Local Chapter and Club President of the National Digital Library, India, she has played a pivotal role in promoting digital learning initiatives among students. Her active participation in workshops and seminars at premier institutes such as IISc Bengaluru and VIT Vellore reflects her commitment to continuous learning and knowledge dissemination.

Selected Publications

Preethi Elizabeth Iype, Dr. Anju S, Dr. V Suresh Babu (2021). “Temperature Dependent DC and AC Performance of AlGaN/GaN HEMT on 4H-SiC.” IEEE Conference Series (ICECCT 2021), DOI: 10.1109/ICECCT52121.2021.961668. Cited by: Multiple IEEE articles.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2021). “Thermal and Electrical Performance of AlGaAs/GaAs based HEMT device on SiC substrate.” Journal of Physics: Conference Series, IOP Publishing, DOI: 10.1088/1742-6596/2070/1/012057. Cited by: Various research papers in semiconductor physics.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2024). “Optimizing electrical and thermal performance in AlGaN/GaN HEMT devices using dual metal gate technology.” Heat Transfer, WILEY, DOI: 10.1002/htj.23099. Cited by: Emerging studies in heat transfer and semiconductor devices.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2024). “Investigation of Thermal Efficiency of Recessed Γ gate over Γ gate, T gate and Rectangular gate AlGaN/GaN HEMT on BGO substrate.” Microelectronics Reliability, Elsevier, DOI: 10.1016/j.microrel.2024.115522. Cited by: Recent works on HEMT technology and reliability.

Preethi Elizabeth Iype, Dr. Geenu Paul, Dr. V Suresh Babu (2024). “Sheaf Attention-Based Osprey Spiking Neural Network for Effective Thermal Management and Self Heating Mitigation in GaAs and GaN HEMTs.” Heat Transfer, WILEY, DOI: 10.1002/htj.23099. Cited by: Studies on AI-based thermal efficiency improvements.

Conclusion

Preethi Elizabeth Iype has demonstrated a remarkable blend of teaching, research, and industry experience over the years. Her expertise in embedded systems, IoT, and semiconductor device physics has been instrumental in shaping young minds and contributing to technological advancements. With her research in thermal management of HEMTs and AI-driven solutions, she continues to pave the way for innovations in high-power electronics and wireless communication. Through her dedication to academia and active participation in professional organizations, she remains a key figure in the field of Electronics and Communication Engineering.

Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

Posted on by sciencefather

Mr. Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

Undergraduate | University of West Attica | Greece

Emmanouil Mantalas is a highly motivated Mechanical Engineering student at the University of West Attica, with a keen interest in marine engineering and advanced manufacturing methods. His academic pursuits are deeply tied to the development and optimization of marine materials, and he is passionate about leveraging Artificial Neural Network (ANN) methodologies to tackle real-world engineering problems. Emmanouil’s goal is to blend his mechanical engineering background with marine technology, particularly in the development of new materials that can improve performance and sustainability in the marine industry. His drive for academic and professional excellence has led him to become a key member of the Poseidon Racing Team, where he actively contributes to the development of cutting-edge formula-style racecars.

Profile

Orcid

Education

Emmanouil is currently pursuing a Bachelor’s degree in Mechanical Engineering at the University of West Attica, where he has maintained a GPA of 7.15/10. Throughout his academic journey, he has developed a strong foundation in various fields of mechanical engineering, such as vehicle dynamics, materials science, and computational modeling. Emmanouil’s academic focus is not limited to theoretical concepts but also includes practical applications, which is evident from his involvement in the Poseidon Racing Team. In addition to his engineering coursework, Emmanouil has honed his skills in advanced tools like 3D CAD software (including Invertor, SolidWorks, and Fusion 360) and MATLAB, which are integral to his design and simulation work.

Experience

Emmanouil’s professional experience includes a significant role in the Poseidon Racing Team, a student-led project at the University of West Attica that designs and builds formula-style racecars. From June 2021 to September 2023, Emmanouil worked as a Vehicle Dynamics Engineer, focusing on optimizing the handling and performance of racecars through advanced simulations and calculations. In this role, he worked on dynamic vehicle modeling using Adams Car and led the suspension setup efforts to ensure a balance between ride comfort and performance. His work has been instrumental in refining vehicle responsiveness and overall driving experience.

Currently, Emmanouil serves as the Team Manager of Poseidon Racing, where he oversees a 40-member team. As a manager, he coordinates the team’s efforts toward building both their second formula-style racecar and their first electric racecar. Emmanouil is responsible for managing project timelines, deadlines, and financial resources, while also ensuring that each team member has clear objectives and tasks. His leadership has contributed significantly to the team’s progress, and he is committed to guiding the team to achieve their ambitious goals.

Research Interests

Emmanouil’s research interests lie at the intersection of marine engineering, materials science, and artificial intelligence. He is particularly interested in the development and optimization of marine materials, with a focus on how these materials can be improved for better performance and durability in marine environments. Additionally, Emmanouil is passionate about exploring the potential of Artificial Neural Networks (ANN) to solve complex engineering problems. His academic projects reflect this interest, including his recent work on using ANN and fuzzy logic models to predict mechanical properties in Additive Manufacturing (AM) specimens. This fusion of material science with AI-driven methodologies highlights Emmanouil’s forward-thinking approach to engineering challenges.

Awards

Emmanouil has not only excelled in his academic and professional endeavors but has also received recognition for his contributions to the Poseidon Racing Team and his research. His leadership in the team’s transition from a traditional formula-style racecar to an electric model has been acknowledged, and he has received accolades for his ability to balance innovation with practicality. Furthermore, Emmanouil’s contributions to his field of research have not gone unnoticed, as his work on predictive modeling and mechanical property evaluation in AM materials has been praised for its relevance and potential impact on modern engineering practices.

Publications

  1. Mantalas, E., Sagias, V. D., Zacharia, P., & Stergiou, C. I. (2024). Neuro-Fuzzy Model Evaluation for Enhanced Prediction of Mechanical Properties in AM Specimens. Applied Sciences, MDPI. https://doi.org/10.3390/app15010007

This publication is an example of Emmanouil’s work involving the use of advanced machine learning techniques to predict the mechanical properties of materials produced via additive manufacturing. The research applies a combination of neuro-fuzzy modeling to enhance the prediction accuracy of material performance, which can significantly contribute to the development of stronger and more reliable 3D-printed materials.

Conclusion

Emmanouil Mantalas is a driven and talented mechanical engineering student with a unique combination of technical expertise, leadership skills, and academic curiosity. His passion for marine engineering and his commitment to advancing manufacturing technologies, particularly through the use of Artificial Neural Networks, make him a standout figure in his field. His contributions to both the Poseidon Racing Team and his academic research show his potential for making significant impacts in the engineering and manufacturing sectors. Emmanouil is poised to become a leader in the integration of innovative technologies into the development of high-performance materials and systems, particularly within the marine and automotive industries.