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Anupama Namburu

Anupama Namburu

Dr. Anupama Namburu
Anupama Namburu
Associate Professor
Centre/School/Special Centre
School of Engineering
Room No
16, VIKAS Building, JNU
Email
anupamanamburu@mail.jnu.ac.in, anupamanamburu@jnu.ac.in
Personal Webpage
https://jnu.ac.in
Qualifications

Ph.D.  - Jawaharlal Nehru Technical University, Kakinada, India

M.Tech.  - Andhra Univeristy, Visakhapatnam, India.

B.Tech.- Vignan College of Engineering, JNTUH , India.

Areas of Interest/Specialization

Digital Image processing, Supervised and Unsupervised Learning in images, Machine learning, Deep learning, Pattern recognition, Fuzzy set theory.

Experience

Teaching Experience:

August 2023 to till date : Associate Professor- Jawaharlal Nehru University, New Delhi.

May 2018 to August 2023: Associate Professor-VIT, Amaravati

September 2009 to April 2017: Assistant Professor- Acharya Nagarjuna University.

Industry Experience:

July 2006 to September 2009: Senior Software Engineer- Wipro Technologies, Hyderabad.

August 2008 to September 2009: Onsite Senior Software Engineer- Ericsson, United Kingdom.

Administrative Experience:

August 2020 to August 2023- Board of Management Member, VIT, Amaravati.

August 2020 to August 2023- Deputy Director Student Welfare, VIT, Amaravati.

May 2019 to August 2020- Program Chair, B.Tech CSE, Robotics, VIT, Amaravati.

May 2018 to August 2020-University Website Coordinator, VIT, Amaravati

April 2013 to April 2018- Placement coordinator, Acharya Nagarjuna University.

April 2013 to March 2018- Member, Board of Studies, Acharya Nagarjuna University.

2009-2018- In-charge of CSE department, Acharya Nagarjuna University.

 

 
Awards & Honours

  1. Qualified GATE in February, 2003.

  2. Feather in my cap award –Wipro Technologies, 2009.

  3. Overall faculty champion award-ANU university day, 2013.

  4. Qualified APSET in September, 2016. 

  5. 2nd Best Research paper award for the year ANU Foundation day, 2017 .

  6. Best Technical Club Award- VIT-AP university Day, 2019 .

  7. Best academician award of the year Female- GISR foundations, 2020.

  8. Above and beyond Award-VIT-AP Annual Day, 2021.

  9. Indo-Asia award in digital image processing- RedTalks, 2022.

International Collaboration/Consultancy

-

Best Peer Reviewed Publications

  1. Namburu, A., kumar Samay, S., & Edara, S. R. (2017). Soft fuzzy rough set-based MR brain image segmentation. Applied Soft Computing, 54, 456-466.  (SCI, IF: 7.2). 
  2. Namburu, A., Samayamantula, S. K., & Edara, S. R. (2017). Generalised rough intuitionistic fuzzy c‐means for magnetic resonance brain image segmentation. IET Image Processing, 11(9), 777-785.(SCI, IF: 2)
  3. Namburu, A., Srinivas Kumar, S., & Srinivasa Reddy, E. (2022). Review of set theoretic approaches to magnetic resonance brain image segmentation. IETE Journal of Research, 68(1), 350-367. (SCOPUS)
  4. Tripathy, J. K., Sethuraman, S. C., Cruz, M. V., Namburu, A., Mangalraj, P., & Vijayakumar, V. (2021). Comprehensive analysis of embeddings and pre-training in NLP. Computer Science Review, 42, 100433. (SCI, IF:13.5)
  5. Namburu, A., Selvaraj, P., & Varsha, M. (2022). Product pricing solutions using hybrid machine learning algorithm. Innovations in Systems and Software Engineering, 1-12. (SCI, IF:1.1)
  6. Namburu, A., Surendran, A., Balaji, S. V., Mohan, S., & Iwendi, C. (2022). DocCompare: An Approach to Prevent the Problem of Character Injection in Document Similarity Algorithm. Mathematics, 10(22), 4256.
  7. Gargi, M., & Namburu, A. (2022). Severity detection of diabetic retinopathy—a review. International Journal of Image and Graphics, 2340007.
  8. Namburu, A., Mohan, S., Chakkaravarthy, S., & Selvaraj, P. (2023). Skin Cancer Segmentation Based on Triangular Intuitionistic Fuzzy Sets. SN Computer Science, 4(3), (SCOPUS, IF:3.78)
  9. Jupalli, T. K., & Namburu, A. (2023, September). Prediction of Students' Academic Success Based on Their Emotions and Involvement in Online Class. In International Symposium on Applied Computing for Software and Smart Systems (pp. 47-66). Singapore: Springer Nature Singapore.
  10. Nagabotu, V., & Namburu, A. (2023). Precise segmentation of fetal head in ultrasound images using improved U‐Net model. ETRI Journal. (SCI, IF:1.1.6)
  11. Kolipaka, V. R. R., & Namburu, A. (2023). Hybrid Classification Model with Tuned Weights for Crop Yield Prediction. Wireless Personal Communications, 133(2), 1325-1347. (SCI, IF:1.67)
  12. Namburu, A., Satish, A. R., Veeramachaneni, B. T., Edupuganti, S., & Harshith, K. V. N. D. S. (2023). Embedded and computational intelligence for diabetic healthcare: An overview. Smart Embedded Systems, 54-69.
Recent Peer Reviewed Journals/Books

  1. Gargi, M., & Namburu, A. (2024). An Intelligent Optimized Deep Network for Retinopathy Diabetes Segmentation. Wireless Personal Communications, 135(3), 1885-1907. (SCI, IF:1.67)
  2. Kolipaka, V. R. R., & Namburu, A. (2024). An automatic crop yield prediction framework designed with two-stage classifiers: a meta-heuristic approach. Multimedia Tools and Applications, 83(10), 28969-28992. (SCI, IF:3)
  3. Madala, G., & Namburu, A. (2024). A Meta-Learning Approach for Diabetic Retinopathy Severity Grading. Traitement du Signal, 41(3). (SCI, IF:2.6). 
  4. Mohammed, Q. H., & Namburu, A. (2024). Hybrid Model And Framework For Predicting Air Pollutants In Smart Cities. Journal of Engineering and Sustainable Development, 28(3), 392-406.
  5. Nagabotu, V., & Namburu, A. (2024). Stack Ensemble Algorithm for Cardiotocography Based Foetal Health Risk Classification. Revue d'Intelligence Artificielle, 38(1). (SCOPUS)
  6. Challagundla, Y., Chintalapati, L. R., Tunuguntla, T. S. C., Namburu, A., Reddy, S., & Ramesh, J. V. N. (2024). Integrating Intellectual Consciousness AI based on Ensemble Machine Learning for Price Negotiation in E-commerce using Text and Voice-Based Chatbot. EAI Endorsed Transactions on Internet of Things, 10.
  7. Kolipaka, V. R. R., & Namburu, A. (2024). An automatic crop yield prediction framework designed with two-stage classifiers: a meta-heuristic approach. Multimedia Tools and Applications, 83(10), 28969-28992. (SCI,IF:3).

Patents (if any)

Patents Published:

"Flexible Plug in-Plug Out Single Pole Single Throw Switch", Dr. Aravapalli Rama Satish, Dr. Anupama Namburu, Dr. BKSP Kumar Raju,Dr. Prabha SelvaRaj, Dr. D Naga Raju,Mr. Gowtham D- ID 202341062426

"Portable Umbrella with Tissue Dispenser and Sanitizer",Dr. Anupama Namburu,Dr. Prabha SelvaRaj,Dr. BKSP Kumar Raju-202141055125

"An approach to prevent the problem of character injection in document similarity algorithms based on k-grams", Dr. Anupama Namburu, Mr. Akhil Surendran,Mr. S Vijay Balaji- Published-Application ID:202141026742

"Dynamic Smart Alarm Based On Quality of Sleep (QOS)", Dr. BKSP Kumar Raju Alluri,Prabha Selvaraj,N. Anupama,D. Sumathi Dr. Aravapalli Rama Satish-Published-Application ID:202141026728

"Multipurpose Smart Bottle with Temperature Reduction Indicator and Reminder", Dr.Prabha Selvaraj,Dr. BKSP Kumar Raju Alluri,N. Anupama,Mr. Venkata Siva Prasad Kakumani, Dr. Aravapalli Rama Satish,D. Sumathi-published-Application ID:202141037211

A warm welcome to the modified and updated website of the Centre for East Asian Studies. The East Asian region has been at the forefront of several path-breaking changes since 1970s beginning with the redefining the development architecture with its State-led development model besides emerging as a major region in the global politics and a key hub of the sophisticated technologies. The Centre is one of the thirteen Centres of the School of International Studies, Jawaharlal Nehru University, New Delhi that provides a holistic understanding of the region.

Initially, established as a Centre for Chinese and Japanese Studies, it subsequently grew to include Korean Studies as well. At present there are eight faculty members in the Centre. Several distinguished faculty who have now retired include the late Prof. Gargi Dutt, Prof. P.A.N. Murthy, Prof. G.P. Deshpande, Dr. Nranarayan Das, Prof. R.R. Krishnan and Prof. K.V. Kesavan. Besides, Dr. Madhu Bhalla served at the Centre in Chinese Studies Programme during 1994-2006. In addition, Ms. Kamlesh Jain and Dr. M. M. Kunju served the Centre as the Documentation Officers in Chinese and Japanese Studies respectively.

The academic curriculum covers both modern and contemporary facets of East Asia as each scholar specializes in an area of his/her interest in the region. The integrated course involves two semesters of classes at the M. Phil programme and a dissertation for the M. Phil and a thesis for Ph. D programme respectively. The central objective is to impart an interdisciplinary knowledge and understanding of history, foreign policy, government and politics, society and culture and political economy of the respective areas. Students can explore new and emerging themes such as East Asian regionalism, the evolving East Asian Community, the rise of China, resurgence of Japan and the prospects for reunification of the Korean peninsula. Additionally, the Centre lays great emphasis on the building of language skills. The background of scholars includes mostly from the social science disciplines; History, Political Science, Economics, Sociology, International Relations and language.

Several students of the centre have been recipients of prestigious research fellowships awarded by Japan Foundation, Mombusho (Ministry of Education, Government of Japan), Saburo Okita Memorial Fellowship, Nippon Foundation, Korea Foundation, Nehru Memorial Fellowship, and Fellowship from the Chinese and Taiwanese Governments. Besides, students from Japan receive fellowship from the Indian Council of Cultural Relations.