Posted on by ScienceFather
59 / 100
Powered by Rank Math SEO
SEO Score

Mrs. Asha Sathe | Computer Vision | Best Researcher Award

Research Scholar at Sathyabama Institute of Science and Technology, India.

Ms. Asha Prashant Sathe is an experienced academic professional with over 21 years of teaching experience in Computer Engineering. Currently an Assistant Professor at Army Institute of Technology, Pune, she has taught subjects such as Artificial Intelligence, Distributed Systems, and Discrete Mathematics. She is actively pursuing her PhD from Sathyabama University and has authored several research papers in areas like image processing, deep learning, and artificial intelligence. Her notable publications include work on neural networks and image manipulation detection. In addition to her academic contributions, Ms. Sathe holds a patent for Intelligent Ear Pods by Voice Commands and Gestures and has participated in numerous seminars and workshops to enhance her skills. She has also co-investigated a funded project on software architecture, showcasing her engagement in research initiatives. Ms. Sathe’s achievements include the Best Teacher Award and AICTE grants, reflecting her commitment to both teaching and research innovation.

Profile

Education

Ms. Asha Prashant Sathe has a diverse educational background in computer engineering. She completed her Bachelor of Engineering (BE) in Computer Engineering from Pune University in 1999, laying a strong foundation for her career in technology and education. She went on to pursue a Master of Engineering (ME) in Computer Science and Engineering from Swami Ramanand Teerth Marathwada University (SRTMU), Nanded, in 2010, graduating with a score of 7.2%. Her academic journey also includes a Diploma in Computer Technology (DCT) from Mumbai in 1996, where she achieved a commendable 69.18%. Before that, she had a solid start with her Secondary School Certificate (SSC) from the State Board in 1993, securing an impressive 85.42%. Currently, she is pursuing her PhD from Sathyabama University, focusing on advancing her expertise and contributing to the field of computer science. Her educational progression reflects dedication and a continuous pursuit of knowledge.

Professional Experience

Ms. Asha Prashant Sathe is an experienced academic professional with over 21 years of teaching experience in Computer Engineering. She currently serves as an Assistant Professor at the Army Institute of Technology (AIT), Pune, where she has been since 2006. Her extensive teaching career includes previous roles as a lecturer at Amrutvahini College of Engineering (AVCOE), Sangamner, and Pravara Rural Engineering College (PREC), Loni. Throughout her career, she has taught various subjects such as Artificial Intelligence, Distributed Systems, Software Engineering, and Web Technology. Ms. Sathe has also held several administrative and academic coordination roles, including NBA Coordinator, Project Coordinator, and Seminar Coordinator. In addition to her teaching expertise, she has contributed to curriculum development and accreditation processes, enhancing the quality of education in her institution. Her professional experience showcases her dedication to both teaching and the continuous improvement of educational standards in engineering.

Research Interest

Ms. Asha Prashant Sathe’s research interests lie primarily in the fields of Image Processing, Pattern Recognition, Artificial Intelligence (AI), and Deep Learning. She is particularly focused on the development of advanced algorithms and techniques for image manipulation detection and optical character recognition (OCR). Her work involves exploring neural networks, including recurrent neural networks (RNNs), to create systems capable of complex decision-making and pattern recognition. Additionally, Ms. Sathe is passionate about leveraging machine learning models to solve real-world problems in various domains, including gender and age classification based on digital data like blogs. She is also interested in the intersection of deep learning and natural language processing (NLP), focusing on the integration of AI technologies in software development. Her goal is to further enhance AI’s capabilities in automation, improving both user interaction and system performance across different applications.

Research Skills

Ms. Asha Prashant Sathe possesses strong research skills, particularly in the fields of Artificial Intelligence, Image Processing, and Deep Learning. Her work on image manipulation detection and neural networks demonstrates her technical expertise in applying advanced algorithms and machine learning techniques. She has contributed to both journal publications and a patent on intelligent ear pods, showcasing her ability to bridge theoretical research with practical innovation. Her experience extends to pattern recognition and optical character recognition, highlighting her analytical skills in solving complex computational problems. Additionally, Ms. Sathe has been involved in collaborative research projects, such as her role as a co-investigator on a software engineering grant, which reflects her capability in teamwork and securing research funding. Her participation in numerous workshops and training programs, such as Natural Language Processing and Project Management, further emphasizes her commitment to continually developing her research acumen in emerging technologies.

Author Metrics
  • Total Publications: 10 (including journal and conference articles)
  • Patent: 1 (Intelligent ear pods by voice commands and gestures)
  • Notable Journals:
    • JOICS (2021)
    • IJMH (2020)
    • IRJET (2019)
    • IRAJ Research Forum (2014)
    • NCFCA (2009)
  • Notable Conferences:

Conclusion

Ms. Asha Prashant Sathe exhibits a commendable academic and research background with strengths in teaching, publications, innovation, and professional development. However, to compete for a prestigious research-focused award like the Best Researcher Award, areas such as more dedicated research years, completion of her PhD, student supervision, and high-impact publications should be strengthened. While she shows great potential, focusing on these aspects would significantly enhance her candidacy for future research accolades.

Publications Top Notes

Approaching Image Manipulation Detection Using Yolov5, (2021). Approaching Image Manipulation
Detection Using Yolov5. JOICS. volume 11(Issue-4), 428-432. ISBN/ ISSN No : ISSN:1548-7741. URL :
www.joics.org. 

Title: Approaching Image Manipulation Detection Using Yolov5
Author(s): [Author(s) Name]
Journal: Journal of Information and Communication Systems (JOICS)
Volume: 11
Issue: 4
Pages: 428-432
Year: 2021
ISBN/ISSN: ISSN: 1548-7741
URL: www.joics.org

2. My Experience:Science behind Online Teaching – Learning, (2020). My Experience:Science behind                Title: My Experience: Science behind Online Teaching – Learning
Author(s): [Author(s) Name]
Journal: International Journal of Multidisciplinary Humanities (IJMH)
Volume: 5
Issue: 1
Pages: 1-2
Year: 2020
ISBN/ISSN: ISSN 2394-0913
URL: https://www.ijmh.org/download/volume-5-issue-1/

Online Teaching – Learning. IJMH. Volume 5(Issue-1), 1-2. ISBN/ ISSN No : ISSN 2394-0913. URL :
https://www.ijmh.org/download/volume-5-issue-1/.
3. Asha Prashant Sathe, (2019). Neural Story Teller Using RNN and Genrative Algorithms. IRJET. e-ISSN2395-0056(e-ISSN-2395-0056), 33-34. ISBN/ ISSN No : IRJET.                                                                                                                  Title: Neural Story Teller Using RNN and Generative Algorithms
Author(s): Asha Prashant Sathe
Journal: International Research Journal of Engineering and Technology (IRJET)
Volume: [Volume Number]
Issue: [Issue Number]
Pages: 33-34
Year: 2019
ISBN/ISSN: e-ISSN 2395-0056


4. Asha Prashant Sathe, (2014). Gender and Age Classification on the Basis of Blogs. IRAJ Research
Forum. EECSMEPUNE-30034-124(EECSMEPUNE-30034-124), 17-22. ISBN/ ISSN No :
EECSMEPUNE-30034-124.     

Title: Gender and Age Classification on the Basis of Blogs
Author(s): Asha Prashant Sathe
Journal: IRAJ Research Forum
Volume: [Volume Number]
Issue: [Issue Number]
Pages: 17-22
Year: 2014
ISBN/ISSN: EECSMEPUNE-30034-124                                                                                                                                               

  5. Asha Prashant Sathe, (2009). Face Recognition Using Hidden Markov Model. NCFCA 2009. NCFCA2009(NCFCA-2009), 75-77. ISBN/ ISSN No : NCFCA-2009.                                                                                                  Title: Face Recognition Using Hidden Markov Model
Author(s): Asha Prashant Sathe
Conference: National Conference on Face and Character Analysis (NCFCA)
Year: 2009
Pages: 75-77
ISBN/ISSN: NCFCA-2009       

Asha Sathe | Computer Vision | Best Researcher Award

You May Also Like