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Dr. Pugal Priya Raju | Pattern Recognition | Best Faculty Award

Adjunct Assistant Professor at Indian Institute of Information Technology , India.

Dr. Pugal Priya Raju presents a compelling profile with an extensive background in Electronics and Communication Engineering, highlighted by a successful career in academia and significant contributions to research in image processing and machine learning. Their objective is clear: to secure a challenging position that not only allows for professional growth and the application of their skills but also contributes to the success of the organization and, by extension, society at large.

Professional Profiles:

Education:

Dr. Pugal Priya Raju has pursued a comprehensive academic journey, culminating in a diverse array of qualifications. She completed her Ph.D. in Information and Communication from Anna University, Chennai, in September 2022, with a research focus on developing a deep LSTM neural network-based RFO algorithm for early detection of diabetic retinopathy, earning a commendable CGPA of 8.00. Prior to her doctoral studies, she obtained a Master of Engineering (M.E) degree in Applied Electronics from Anna University, Coimbatore, in 2010, demonstrating her commitment to advancing her expertise in her field with a GPA of 8.14. Dr. Raju’s academic journey commenced with a Bachelor of Engineering (B.E) in Electronics and Communication Engineering from Anna University, Chennai, in 2008, where she excelled with a percentage of 80.47% and Distinction. Additionally, she holds a Diploma in Electrical and Electronics Engineering (DEEE) from Kamaraj Polytechnic, Tamil Nadu, completed in 2005, with an exceptional score of 90.67% with Honors. Through her educational endeavors, Dr. Raju has exhibited a strong dedication to academic excellence and a commitment to expanding her knowledge and skills in the field of Electronics and Telecommunication.

Research Experience:

Dr. Pugal Priya Raju boasts a rich and diverse research experience that underscores her commitment to advancing knowledge in her field. With a keen focus on electronics, communication, and healthcare technology, she has actively contributed to numerous research projects and scholarly endeavors. Throughout her academic and professional journey, Dr. Raju has demonstrated a strong aptitude for conducting rigorous research, encompassing areas such as machine learning, deep learning, medical image processing, and digital image processing. Her research contributions have been instrumental in exploring innovative methods for early disease detection, enhancing image quality, and extracting valuable insights from complex datasets. Dr. Raju’s collaborative approach to research, coupled with her interdisciplinary expertise, has positioned her as a key player in driving technological advancements in healthcare. Through her extensive research experience, she continues to make significant strides in addressing pressing challenges and advancing the frontiers of knowledge in her field.

Research Interest:

Dr. Pugal Priya Raju’s research interests are broad and interdisciplinary, encompassing various aspects of electronics, communication, and healthcare technology. A key focus of her work lies in the exploration of machine learning and deep learning techniques, where she seeks to apply these advanced methods in fields such as image processing, pattern recognition, and predictive analytics. Additionally, Dr. Raju is deeply engaged in the realm of medical image processing, where she endeavors to develop innovative approaches for early disease detection and diagnosis, particularly in conditions like diabetic retinopathy. Furthermore, her research extends to digital image processing, where she strives to enhance image quality, extract meaningful features, and utilize image-based data analysis to inform decision-making in healthcare contexts. Through her interdisciplinary research endeavors, Dr. Raju aims to contribute to the advancement of technology-driven solutions in healthcare, with the ultimate goal of improving patient care and fostering a deeper understanding of complex biomedical phenomena.

Award and Honors:

As of Dr. Pugal Priya Raju’s resume, specific awards and honors are not listed. However, considering her extensive experience, research contributions, and academic achievements, it is reasonable to assume that she may have received recognition and accolades throughout her career. Awards and honors in academia and research can vary widely, ranging from institutional recognition for outstanding teaching or research to prestigious grants and fellowships in her field of expertise. Dr. Raju’s dedication to advancing knowledge in electronics, communication, and healthcare technology suggests that she may have been honored for her contributions to these areas. While specific awards are not detailed in her resume, her significant research experience and academic qualifications likely position her as a candidate deserving of recognition within her professional community.

Research Skills:

Dr. Pugal Priya Raju possesses a diverse skill set in research, honed through her academic and professional journey. She adeptly designs experiments, collects and analyzes data using statistical tools, and conducts thorough literature reviews to inform her research. With strong critical thinking abilities, she evaluates findings within theoretical frameworks and communicates results effectively through various channels. Dr. Raju’s collaborative approach facilitates interdisciplinary teamwork, addressing complex research questions. Overall, her research skills equip her to conduct impactful studies, contributing to advancements in electronics, communication, and healthcare technology.

Publications:

  1. Deep long and short term memory based Red Fox optimization algorithm for diabetic retinopathy detection and classification
    • Authors: R Pugal Priya, T Saradadevi Sivarani, A Gnana Saravanan
    • Year: 2022
  2. Denoising and quality improvement of MRI images using Hybrid Filters and deep neural network based northern Goshawks optimization algorithm
    • Author: RSL Dr.Pugal Priya R
    • Year: 2024
  3. A comprehensive review on renewable energy trading
    • Authors: DPR Yash Ghorpade, Anuruddha Gawai, Rutuja Nikam, Rushikesh Bhopale
    • Year: 2023
  4. An overview of innovative approaches to healthy living: The role of a state of the Art Diet App
    • Author: P Priya R
    • Year: 2023
  5. Hybrid filters for MRI image denoising and image quality improvement using conditional generative adversal network based enhanced wild horse algorithm
    • Authors: DGSA Dr.Pugal Priya Raju, Dr.Sivarani T.S
    • Year: 2023
  6. A DEEP LSTM NEURAL NETWORK BASED RFO ALGORITHM FOR EARLY DETECTION OF DIABETIC RETINOPATHY
    • Author: P Priya R
    • Year: 2022
  7. Communication Networks (two entries with the same title and author, likely the same publication mentioned twice)
    • Author: P Priya R
    • Year: 2021
  8. A Novel Machine Learning algorithms for early detection of Diabetic Retinopathy
    • Author: DTSS Pugal Priya R
    • Year: 2019
  9. Segmentation and Classification of CT Cervix images using Bag of Visual Word Classifier Vol 4, No 1(2018)
    • Author: RPPR K. Nimmi
    • Year: 2018
  10. Efficient Haze Removal by Edge Detection and Colour Attenuation
    • Authors: DDBS Pugal Priya R, Asakti Rautkar
    • Year: 2016

 

 

 

Pugal Priya Raju | Pattern Recognition | Best Faculty Award

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