Dr. Punitha A | Machine Learning | Women Researcher Award

Dr. Punitha A | K Ramakrishnan College of Technology | India

Dr. A. Punitha is a distinguished professor with 20 years of experience in the Electronics and Communication Engineering field. She is currently a faculty member at M.A.M School of Engineering, Trichy, where she also serves in leadership roles like NBA Coordinator, Head of the Department, and R&D In-Charge. Dr. Punitha is highly involved in research, especially in AI, IoT, and machine learning applications, and has received multiple research grants. Her work includes real-time monitoring systems, intrusion detection, and bio mask development. She is a prolific academic, with numerous publications and active contributions to conferences 📚👩‍🏫🤖.

Professional Profile:

SCOPUS

Suitability for Women Researcher Award

Dr. A. Punitha is highly suitable for the Women Researcher Award due to her extensive experience, leadership in academia, and significant contributions to the fields of Electronics and Communication Engineering, particularly in cutting-edge technologies such as AI, IoT, and machine learning.Dr. Punitha’s research focuses on innovative and impactful fields such as AI, IoT, and machine learning applications. She has worked on various cutting-edge projects, including real-time monitoring systems, intrusion detection systems, and bio mask development, which directly address real-world challenges. Her work in these domains exemplifies her contribution to advancing technology and creating solutions that have the potential to significantly benefit society.

Education and Experience

Ph.D. in Electronics and Communication Engineering 🎓
M.E. in Electronics and Communication Engineering 🎓
Total Experience: 20 Years ⏳
NBA Coordinator & Head of Department of ECE 🏫
R&D In-Charge, MAMSE 🧪
IIC Convener & Innovation Ambassador 🚀
International Conference Coordinator 🌍
Japanese Language Training Coordinator 🇯🇵
Coordinated AICTE and Tamil Nadu Science funding projects 💸

Professional Development

Dr. A. Punitha is an accomplished academic who actively contributes to the growth of her department and the institution. She has played a significant role in organizing faculty development programs, seminars, and workshops. Her involvement in innovation and research is evident through her leadership in receiving multiple grants, such as the Rs. 3.5 lakh AICTE ATAL fund and Tamil Nadu Science and Technology funds. Dr. Punitha has also acted as a resource person in webinars and conferences, discussing vital topics such as NEP 2020 and OBE. Her dedication to improving teaching quality and research at MAMSE remains evident 🌱📚💡.

Research Focus

Dr. A. Punitha’s research is centered around leveraging advanced technologies like AI, IoT, and machine learning to solve real-world problems. Her work explores areas such as intrusion detection in wireless sensor networks, brain tumor detection using CNN, and real-time monitoring systems like drowsy driving detection. She is also focusing on developing bio masks for sanitization and enhancing food processing in Industry 5.0 using AI. Dr. Punitha aims to create innovative solutions that contribute to both the academic and practical fields of technology 🌐🤖🔬.

Awards and Honors

Received Rs. 3.5 Lakh from AICTE ATAL for Faculty Development Program (2024) 💰
Funded Rs. 2.8 Lakh by Tamil Nadu Science and Technology for “Bio Mask Project” 💡
Awarded Rs. 20,000 for “Intra Project Expo 2021” by Tamil Nadu Science and Technology 🎉
Webinar Resource Person for “NEP 2020” and “OBE” at MAMSE 🎤
Co-principal Investigator for AICTE and Tamil Nadu Science-funded projects 🏆
Acted as Organizing Committee Member for National Conference with CSIR funding (Rs. 50,000) 🗣️

Publication Top notes:

“Dynamically stabilized recurrent neural network optimized with intensified sand cat swarm optimization for intrusion detection in wireless sensor network”
“Enhancing the Food Processing in Industry 5.0 Based on Artificial Intelligence”– Cited by: 1️⃣
“REAL TIME MONITORING AND DETECTION OF DROWSY DRIVING”
“Smart Method for Tollgate Billing System Using RSSI” – Cited by: 3️⃣
“Privacy preservation and authentication on secure geographical routing in VANET” – Cited by: 6️⃣
“Secure group authentication technique for VANET” – Cited by: 5️⃣
“Location verification technique for secure geographical routing in VANET” – Cited by: 2️⃣

Ms. Nathalia Hidalgo Leite | Artificial Neural Networks | Best Researcher Award

Ms. Nathalia Hidalgo Leite, State University of Campinas, Brazil

🎓 Nathalia Hidalgo Leite is a Ph.D. candidate in Energy Systems Planning at the State University of Campinas (Unicamp) 🇧🇷, focusing on electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, and a B.S. in Agronomic Engineering from UFSCar 🌱. As a researcher at CPTEn and CPFL Energy, and an instructor at Unicamp, she has contributed significantly to energy systems planning and education. Her international academic experience includes programs in Portugal 🇵🇹, Denmark 🇩🇰, Spain 🇪🇸, Italy 🇮🇹, and the USA 🇺🇸. Nathalia’s research interests span the economic and financial viability of energy systems, artificial neural networks, and renewable energy integration 🌞. Proficient in Portuguese, English, and Spanish, she holds numerous certifications in finance and technical skills 📊. Her achievements are recognized by multiple academic and extracurricular awards, underscoring her dedication and multifaceted talents 🌟.

🎓 Educational Background

Nathalia Hidalgo Leite is currently pursuing a Ph.D. in Energy Systems Planning at the State University of Campinas (Unicamp) 🇧🇷, focusing on the economic and financial viability for electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, where she studied the economic viability of photovoltaic solar energy. Nathalia completed her B.S. in Agronomic Engineering at the Federal University of Sao Carlos (UFSCar), researching artificial neural networks applied to Asian soybean rust 🌱.

🏢 Professional Experience

Nathalia is an accomplished researcher and instructor. At Unicamp, she has taught courses in computer algorithms, programming, numerical calculation, and discrete mathematics. As a researcher at the Sao Paulo Center for Energy Transition Studies (CPTEn) and previously at CPFL Energy, she has made significant contributions to energy systems planning. Nathalia also worked as a Financial Planning and Analysis Specialist at Grupo JLJ and interned at Ecomark Indústria e Comércio de Fertilizantes Especiais Ltda 🌟.

🌍 International Experience

Nathalia has enriched her academic journey with several exchange programs. She spent six months at the University of Lisbon 🇵🇹 and the University of Southern Denmark 🇩🇰, three months at Universitat Politècnica de València 🇪🇸, one month at Università degli Studi di Roma La Sapienza 🇮🇹, and also attended Beverly Hills High School 🇺🇸 and Moore Elementary School in Colorado 🇺🇸 during her earlier education 📚.

📝 Research Interests

Nathalia’s research interests include the economic and financial viability of energy systems, artificial neural networks, and the integration of renewable energy sources. She is particularly focused on interdisciplinary approaches to solving complex problems in energy planning and sustainability 🌞.

🌐 Certifications and Skills

Nathalia holds numerous certifications in finance, photovoltaic systems, scientific writing, and programming. She is proficient in Portuguese (native), English (fluent), and Spanish (advanced). Her technical skills and continuous learning make her a versatile and knowledgeable professional in her field 📊.

🏆 Awards and Recognitions

Nathalia has received several awards for academic and extracurricular excellence, including the Excellence in Academic Performance award from Anglo Middle School 🇧🇷 and multiple accolades from Lincoln Junior High School 🇺🇸 for academic achievement, athletic performance, and leadership. These recognitions highlight her dedication and multifaceted talents 🌟.