Padmini MS | Computer Science | Best Researcher Award

Mrs. Padmini MS | Computer Science | Best Researcher Award

Associate Professor of The National Institute of Engineering, India

Padmini M.S. is an accomplished Assistant Professor in the Department of Computer Science and Engineering at The National Institute of Engineering, Mysore, with over 13 years of experience in teaching and research πŸ“š. She is currently pursuing her Ph.D. part-time at VTU, showcasing her dedication to continuous learning and professional growth πŸŽ“. Padmini holds an M.Tech. in Computer Networks and a B.E. in Computer Science, reflecting her strong academic foundation πŸ–₯️. Her research interests span IoT, energy efficiency, and smart environments, with numerous publications in reputable journals and international conferences 🌐. Padmini is known for her excellent communication skills, problem-solving ability, and adaptability to the latest technologies, making her a valuable team player and passionate educator πŸ‘©β€πŸ«.

Professional profile

EducationπŸ“š

Padmini M.S. is currently pursuing a Ph.D. part-time at VTU, with plans to take her comprehensive viva shortly. She holds an M.Tech. in Computer Networks from The National Institute of Engineering, Mysore, with a score of 78.5%, and a B.E. in Computer Science from Coorg Institute of Technology, with a score of 72.5%.

Professional ExperienceπŸ›οΈ

She has over 13 years of experience as an Assistant Professor in the Department of Computer Science and Engineering at The National Institute of Engineering, Mysore. Previously, she worked as a Software Engineer at Mach India Private LTD, Bangalore, for one year.

Research Interest🌐

Padmini M.S.’s research covers a wide range of topics, including IoT, energy efficiency, smart environments, and autonomous systems. Her work on “Energy Efficient Smart Street Lighting System” and “Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices” demonstrates her focus on practical applications and sustainability.

Awards and HonorsπŸ†

Padmini M.S. has been recognized for her significant contributions to the field of Computer Science and Engineering through various awards and honors πŸ…. She has received accolades for her innovative research on IoT, energy efficiency, and smart environments, showcased through her numerous publications in esteemed journals and presentations at international conferences πŸ“š. Her work has not only advanced academic knowledge but also demonstrated practical applications, earning her respect and recognition in the academic community 🌟. Padmini’s dedication to teaching and research excellence is evident in her commitment to continuous learning and her role as a valued mentor and educator πŸ‘©β€πŸ«.

AchievementsπŸ…
  • πŸ… Over 13 years of experience as an Assistant Professor in Computer Science and Engineering at The National Institute of Engineering, Mysore.
  • πŸ“š Published numerous papers in reputable journals and presented at international conferences.
  • πŸŽ“ Currently pursuing a Ph.D. part-time at VTU, with a strong academic background including an M.Tech. in Computer Networks and a B.E. in Computer Science.
  • 🌐 Conducted significant research in IoT, energy efficiency, and smart environments.
  • πŸ–₯️ Authored impactful papers such as “Energy Efficient Smart Street Lighting System” and “Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices”.
  • πŸ‘©β€πŸ« Recognized for excellent communication skills, problem-solving ability, and adaptability to new technologies.
  • 🌟 Highly respected in the academic community for her innovative research and practical applications.
  • πŸ“œ Demonstrated commitment to continuous learning and professional growth through her ongoing Ph.D. studies and research initiatives.
Publications top notedπŸ“œ
  • Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices
    • Authors: Padmini, M.S., Kuzhalvaimozhi, S.
    • Year: 2023
    • Journal: SN Computer Science
    • Citations: 0
    • πŸ“œπŸ“†0️⃣
  • Energy aware reliable routing model for sensor network enabled internet of things environment
    • Authors: Srikantha, P.M., Kuzhalvaimozhi, S., Silli, S.M., Verma, T., Manjunatha, V.
    • Year: 2023
    • Journal: Indonesian Journal of Electrical Engineering and Computer Science
    • Citations: 0
    • πŸŒπŸ”‹0️⃣
  • Energy Efficient Smart Street Lighting System
    • Authors: Padmini, M.S., Rajkumar, R., Prahlada, Galagali, S.S., Reddy, K.N.
    • Year: 2022
    • Conference: International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
    • Citations: 1
    • πŸ’‘πŸ™οΈ1️⃣
  • An Implementation of Gesture-Controlled Autonomous Drone
    • Authors: Padmini, M.S., Kuzhalivaimozhi, S., Simha, P.V., Singh, P., Abhinandan, A.
    • Year: 2022
    • Conference: Proceedings – 2nd International Conference on Smart Technologies, Communication and Robotics 2022, STCR 2022
    • Citations: 0
    • πŸšπŸ€–0️⃣

Srinivas Bhattiprolu | Computer Science | Best Researcher Award

Dr. Srinivas Bhattiprolu | Computer Science | Best Researcher Award

Associate Professor of Aditya College of Engineering and Technology, India

Dr. Srinivas Bhattiprolu is an esteemed educator and researcher in the field of computer science, specializing in image processing. He earned his Ph.D. from JNTUK, Kakinada in November 2021, adding to his impressive academic credentials, which include an M.Tech. from RVR & JC College of Engineering and an M.Sc. from Ideal Degree College. With over 16 years of teaching experience, Dr. Bhattiprolu has held positions at various prestigious institutions such as Aditya College of Engineering & Technology, Swami Vivekananda Institute of Technology, and Pragati Engineering College. His dedication to education is evident through his consistent academic achievements and contributions to the field of computer science. Dr. Bhattiprolu is committed to advancing knowledge and nurturing the next generation of technology professionals. πŸ“–πŸŽ“πŸ‘¨β€πŸ«

Professional profile

EducationπŸ“š

Dr. Srinivas Bhattiprolu has an impressive academic background in computer science. He earned his Ph.D. in Computer Science from JNTUK, Kakinada, specializing in image processing, in November 2021. Prior to this, he completed his M.Tech. in Computer Science and Engineering from RVR & JC College of Engineering, affiliated with Acharya Nagarjuna University, in 2007, securing a distinction with 73.2%. Dr. Bhattiprolu also holds an M.Sc. in Computer Science from Ideal Degree College, affiliated with Andhra University, which he completed in 2004 with a first-class score of 65.1%. His academic journey began with a B.Sc. in Mathematics, Electronics, and Computer Science from RIMS Degree College, affiliated with Andhra University, where he graduated in 2001 with a first-class score of 62.5%. He completed his 12th grade from the Board of Intermediate Education in 1998 with a first-class score of 71.1%, and his 10th grade from the Board of Secondary Education in 1996 with a first-class score of 79.7%. πŸ“œπŸ‘¨β€πŸŽ“

Professional ExperienceπŸ›οΈ

Dr. Srinivas Bhattiprolu has amassed 16 years of extensive teaching experience in computer science. Currently, he serves as an Assistant Professor at Aditya College of Engineering & Technology, Surampalem, a position he has held since December 2020. Previously, he was an Assistant Professor at Swami Vivekananda Institute of Technology, Secunderabad from July 2018 to December 2019, where he was ratified by JNT University, Hyderabad in 2019. From July 2017 to June 2018, Dr. Bhattiprolu taught at Nishitha College of Engineering and Technology, Hyderabad, and was ratified by JNT University, Hyderabad in 2018. His tenure at Pragati Engineering College, Surampalem, spanned from June 2010 to July 2017, during which he progressed from Assistant to Associate Professor and was ratified by JNT University, Kakinada in 2010. Earlier in his career, from November 2007 to May 2010, he served as an Assistant Professor at Sreenidhi Institute of Science and Technology, Hyderabad, receiving ratification from JNT University, Hyderabad in 2009. Dr. Bhattiprolu’s commitment to education and his contributions to the academic community are truly commendable. πŸŽ“πŸ…πŸ“˜

Research Interest🌐

Dr. Srinivas Bhattiprolu’s research interests are deeply rooted in the field of computer science, with a particular focus on image processing. His work explores advanced techniques in image analysis, enhancement, and recognition, aiming to develop innovative solutions for real-world applications. Dr. Bhattiprolu is passionate about leveraging machine learning and artificial intelligence to enhance image processing methodologies, striving to push the boundaries of what is possible in digital imaging. His research also delves into the integration of computer vision with other emerging technologies to address complex challenges in various domains. Through his dedication and expertise, Dr. Bhattiprolu contributes significantly to the advancement of knowledge and technology in the realm of image processing. πŸ“·πŸ€–πŸ“ˆ

Awards and HonorsπŸ†

Dr. Srinivas Bhattiprolu has received numerous accolades throughout his distinguished career. His exceptional contributions to the field of computer science and education have earned him recognition and respect from both academic and professional communities. Notably, he was ratified as an Assistant Professor by JNT University, Hyderabad in 2009, 2018, and 2019, and by JNT University, Kakinada in 2010, highlighting his consistent excellence in teaching and research. These ratifications are a testament to his expertise, dedication, and significant impact on the academic institutions he has been a part of. Dr. Bhattiprolu’s commitment to advancing the field of computer science continues to be acknowledged through these prestigious honors. πŸŒŸπŸ“œπŸ‘

Research skillπŸ”¬

Dr. Srinivas Bhattiprolu possesses a robust set of research skills that underpin his contributions to the field of computer science. His expertise in image processing is complemented by a deep understanding of machine learning and artificial intelligence, enabling him to develop advanced algorithms for image analysis and recognition. Dr. Bhattiprolu is proficient in various programming languages and software tools essential for conducting high-level research. His analytical skills and attention to detail ensure the accuracy and reliability of his findings. Additionally, he excels in data interpretation and the practical application of theoretical concepts, which significantly enhances the relevance and impact of his research. Dr. Bhattiprolu’s ability to integrate interdisciplinary approaches further strengthens his research capabilities, making him a versatile and innovative scholar. πŸ”§πŸ“ŠπŸ€–

AchievementsπŸ…
  • πŸŽ“ Successfully earned a Ph.D. in Computer Science with a specialization in Image Processing from JNTUK, Kakinada, in Nov-2021.
  • πŸ… Secured M.Tech. (Computer Science and Engineering) with 73.2% Distinction from RVR & JC College of Engineering, Acharya Nagarjuna University, in 2007.
  • πŸ“œ Completed M.Sc. in Computer Science with 65.1% First Class from Ideal Degree College, Andhra University, in 2004.
  • πŸ‘¨β€πŸ« Accumulated 16 years of teaching experience across multiple prestigious institutions.
  • πŸ† Ratified as an Assistant Professor by JNT University, Hyderabad in 2009, 2018, and 2019, and by JNT University, Kakinada in 2010.
  • πŸ” Developed advanced image processing algorithms integrating machine learning and AI techniques.
  • πŸ“š Contributed significantly to the academic community through innovative research and publications.
  • πŸ’Ό Currently serving as an Assistant Professor at Aditya College of Engineering & Technology, Surampalem, since Dec-2020.
  • 🌟 Recognized for excellence in both teaching and research within the computer science field.
ProjectsπŸ› οΈ
  • πŸ“· Advanced Image Processing Techniques: Developed algorithms for enhanced image analysis and recognition, integrating machine learning and AI methodologies.
  • 🧠 AI-Driven Medical Imaging Solutions: Created innovative solutions for medical imaging to improve diagnostic accuracy using AI and computer vision.
  • πŸ€– Machine Learning in Pattern Recognition: Led a project focused on applying machine learning techniques for advanced pattern recognition in various applications.
  • 🌍 Environmental Monitoring Systems: Developed systems for real-time environmental monitoring using image processing and remote sensing technologies.
  • πŸš— Autonomous Vehicle Navigation: Contributed to the development of navigation systems for autonomous vehicles, leveraging computer vision and sensor fusion.
  • πŸ” Security Surveillance Enhancement: Implemented advanced image processing techniques to enhance the capabilities of security surveillance systems.
  • πŸ“Š Big Data Analysis for Image Processing: Worked on projects involving the analysis and processing of large datasets to improve image processing algorithms.
  • πŸ”§ Software Tools for Image Analysis: Developed user-friendly software tools to facilitate the analysis and manipulation of digital images for various applications.
  • 🌟 Interdisciplinary Research Projects: Engaged in interdisciplinary projects combining computer science with other fields to address complex research challenges.
  • πŸ’‘ Innovation in Educational Technology: Created educational tools and platforms utilizing image processing to enhance learning experiences in computer science education.
Publications top notedπŸ“œ
  • Accelerating Autonomous Vehicle Safety through Real-Time Immersive Virtual Reality Gaming Simulations
    • Authors: Kiran, A., Salunkhe, S.S., Srinivas, B., Altaf Ahmed, M., Venkata Naga Ramesh, J.
    • Year: 2024
    • Citations: 0 πŸ“‰
  • A Review on Sentiment Analysis of Twitter Data for Diabetes Classification and Prediction
    • Authors: Akhila, A.M.S., Gayathri, C., Srinivas, B., Devi, B.S.K.
    • Year: 2022
    • Citations: 1 πŸ“ˆ
  • Second Order Derivative Cross Diagonal Matrix Approach for CBIR
    • Authors: Srinivas, B., Venkata Krishna, V., Sumalatha, L.
    • Year: 2020
    • Citations: 0 πŸ“‰
  • A New Framework for CBIR Using Odd and Even Tetra Texton Matrix
    • Authors: Srinivas, B., Krishna, V.V., Sumalatha, L.
    • Year: 2020
    • Citations: 2 πŸ“ˆ
  • Advanced Local Direction Cross Diagonal Matrix
    • Authors: Srinivas, B., Venkata Krishna, V., Sumalatha, L.
    • Year: 2019
    • Citations: 4 πŸ“ˆ