• Department of Computer Engineering,
• Don Bosco College Of Engineering,
• Fatorda, Margao,Goa- 403 602.
• Tel No : (0832) 2741045/2743944
• Fax : (0832)2742648
• E-mail: amrita.naik@dbcegoa.ac.in

She is currently working in Computer department of Don Bosco College of Engineering for past 5 9.5 years. She has also worked as Assistant professor in Computer department of Goa College of Engineering and as a Senior Software Engineer in Mindtree Pvt Ltd, Bangalore. She has a total teaching experience of 10 years and industry experience of 2.5 years.

• Data Mining
• Image Processing

• “Prediction of cancer using gene expression data”, Manesh Borkar,Saish Naik,Shivam Naik, Siddhant Naik,Kritin Shet Shirsat cosupervised by Prof Jhanvi Naik.
• “Diagnosis of Multiple Diseases Using Machine Learning Techniques on Retinal Fundus Images”, Aryan Prabhu Sawkar, Somdutt Vernekar, Aloysius Carvalho, Sai Acharya, Leon Menezes cosupervised by Dr Gaurang Patkar.
• “Prediction of Malignancy of Lung Nodules in CT Scan Images”, Jessnia Fernandes, Nikeeta Simoes,Dominic Vaz,Saurav Tiwari cosupervised by Prof Mithil Parab.
• “Deep Learning for Lung Nodule Classification on Computed Tomography Images”, Susmita Komarpanth, Sanisha Naik, Saloni Naik, Nikita Gawde cosupervised by Dr.Gaurang Patkar.
• “Cashew nut Grading using Machine Learning”, SUPRESH GAONKAR, SHREYA NAIK, SHEETAL SHARMA, VALANKA FERNANDES, cosupervised by Dr.Gaurang Patkar.
• “Face Recognition based on PCA”, Amrita Nagekar , Michael Monte , Aditya Parab ,  Aditi Lotlikar,  cosupervised by Prof Mithil Parab.
•  “BRAIN TUMOR DETECTION USING MRI SCAN” Diuker Saaylee Kali,Kavlekar Anusha Ashish ,Naik Richa Vinod, Naik Mamlekar Dayesh Dina, Fernandes Floyd Avina cosupervised by Prof Mithil Parab
• “Optical Music Score Recognition with Audio Playback” Rhea Singh, D’Silva Pritiva Pascoal, Faldesai Saheel Yeshwant,Fernandes Alinda, Fernandes Joyston Mickey, 2015, Co- supervised by Prof.Gaurang Patkar
• Offline Signature Verification System Mr.Shravan Hegde, Ms.Tanvi Lotliker, Mr.Rajat Naik, Ms.Namita Rawat, Ms.Daxta Phadte, 2015, Co-supervised by Shilpa Betagere.

• Attended one week AICTE QIP on “Numerical Linear Algebra in Applications to Data Science” from 7th – 12th March, 2022.
• Attended one week Online Faculty Development Programme on “Artificial Intelligence for IoT Services in Cloud: Techniques & Applications” from 28th  Feb – 4th March, 2022.
• Attended one week AICTE ISTE Faculty Development Programme on “Machine Learning” from 22th Feb – 28th Feb, 2022.
• Attended one week Atal Online Advanced fdp on “Application of artificial Intelligence in Research and development” from 22nd to 26th November 2021.
• Attended 2 days “Deep into Python” on 19th and 26th Feb 2022.
• Attended one week national level FDP on “Effective Use of ICT Tools in Teaching Learning Process” from 8th June to 12th June 2020.
• Attended one week national level FDP on “Artificial Intelligence” from 22nd June to 26th May 2020.
• Attended one week AICTE, ISTE Workshop on “Virtual Reality, Augmented Reality and 3D Modeling” from 4th November to 8th November 2019.
• Attended one week AICTE, ISTE workshop on “Recent Trends in Industry 4.0 Technologies” from 27th July-31st July 2020
• Completed 8 week NPTEL course on “Programming in C++” in December 2019
• Attented 2 day workshop on “Research trends in Image Processing and Machine Learning based on Mathematical Modelling”
• Attended 3 day IEEE Skill development workshop on Machine Learning and Deep Learning from 23rd to 25th August 2019
• Attented one Week TEQIP – III AICTE–ISTE Short Term Training Program on “Research Tools and Techniques” from May 7-11, 2018
• Attented AICTE- ISTE One week Workshop on Statistical Techniques and Tools in Research Methodology” on 6th – 10th November 2017
• Attented one week ISTE-STTP, TEQIP workshop of “IoT with Cloud” from 2nd – 7th January 2017.
• Attented one day seminar on “Challenges in Developing Programs for Heterogeneus Computing Platforms” on 15th September 2016
• Attended 2 Day Faculty development workshop on “Android App Development” from 29-30 June 2016
• One week TEQIP –II, ISTE, STTP, on ‘Engineering Management Strategies for Sustainable Development’ from 9th to 13th May 2016.
• FACULTY DEVELOPMENT WORKSHOP on EPER (6th Feb 2016)
• One week National workshop cum conference EICTE 2016 (2-8 Jan 2016)
• Two weeks ISTE STTP workshop on Introduction to Design of Algorithms conducted by Indian institute of Technology, Kharagpur held on April 27th to 30th May 2015.
• SIGCSE (Special Interest Group on Computer Science Education) held on 7th February, 2015.
• One week ISTE Short Term Training program on Recent Trends in Image Processing organized by department of electronics & telecommunication engineering.
• One week ISTE Short Term Training program on Computer Applications in Design & Manufacturing organized by the department of mechanical engineering.

• Organised one day seminar on “Research Proposal Writing” on 30th September 2021.
• Organised 2 day “First National Conference on Emerging trends in Computer and Electronics Engineering” on 8 – 9th  November 2018.
• Organised one week ISTE-STTP, TEQIP workshop of “IoT with Cloud”.
• Organised 1 day seminar on “Challenges in Developing Programs for Heterogeneus Computing Platforms” on 15th September 2016
• Organised 2 Day Faculty development workshop on “Android App Development” from 29-30 June 2016
• Workshop on Advanced Programming Language for 2nd year students.
• Workshop on Data Structures for final year students for Effective Employability Skills.
• Workshop on Fundamentals of PHP and MySQL for third year students.
• Workshop on C# Language

• Attended 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), July, 2020, IIT Kharagpur, India. (IEEE Xplore, 1-7, 2020)
• Attended International Conference on Machine Learning and Big Data Analytics (ICMLBDA) , 29-30 March 2021,IIT, Patna (Springer, Advances in Intelligent System and Computing)
• Attended 5th International Conference on Information and Communication Technology for Sustainable Development (ICT4SD 2020) held during July 23 – 24, 2020, Goa, India (Springer, ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1270.)
• Attented National workshop cum conference EICTE 2016
• Attented Elsvier International Conference on Computational Modeling and Security (CMS 2016) in RLJIT

• Amrita Naik, Damodar Reddy Edla,, Dharavath, Ramesh ,Prediction of Malignancy in Lung Nodules Using Combination of Deep, Fractal, and Gray-Level Co-occurrence Matrix Features>, Mary Ann Liebert, Inc., publishers, vol. 9, no. 6, pp-2167-6461, (2021)
• Amrita Naik, Damodar Reddy Edla & Venkatnaresh Kuppili, V, “Lung Nodule Classification on Computed Tomography Images Using Fractalnet”, Wireless Pers Commun 119, 1209–1229 (2021).
• Amrita Naik, Damodar Reddy Edla, “Lung nodule classification using combination of CNN, second and higher order texture features”, Journal of Intelligent & Fuzzy Systems, vol. 41, no. 5, pp. 5243-5251, 2021
• Amrita Naik, Damodar Reddy Edla, “Lung Nodule Classification on Computed Tomography Images Using Deep Learning”. Wireless Pers Commun 116, 655–690 (2021).
• Amrita Naik, Damodar Reddy Edla, “Lung Tumor Classification Using CNN- and GLCM-Based Features”. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1270. Springer, Singapore
• Amrita Naik, Damodar Reddy Edla,, Dharavath, Ramesh(2022). A Deep Feature Concatenation Approach for Lung Nodule Classification. In: Misra, R., Shyamasundar, R.K., Chaturvedi, A., Omer, R. (eds) Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021). ICMLBDA 2021. Lecture Notes in Networks and Systems, vol 256. Springer, Cham.
• Amrita Naik, Damodar Reddy Edla & Venkatnaresh Kuppili, “A combination of FractalNet and CNN for Lung Nodule Classification,” 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020, pp. 1-7
• Amrita Naik, Anusha Kavlekar and Floyd Avina Fernandes. Brain Tumor Detection using MRI Scan. International Journal of Computer Applications 172(2):37-40, August 2017
• Amrita Naik, Saaylee Diuker, Richa Naik, Dayesh Naik Mamlekar, “Comparison of Different Filters and Segmentation Techniques for Brain Tumor Detection Using Image Processing”, International Journal of Research in Advent Technology, VOLUME-5 ISSUE-8, AUGUST 2017, page no. 5-8
• Amrita Naik, Amrita Nagekar, Michael Monte, Aditya Parab, Ronan Revadkar, “Face Recognition Based Security Scanner using PCA,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.10, pp.1-4, 2018.
• Amrita Naik, Image Retrieval in Mobiles using Signature based Approach IJCAT Journal Volume 1, Issue 11, December 2014 ISSN: 2348-6090
• Amrita Naik,” Correlation review of classification algorithm using data mining tool: WEKA, Rapidminer, Tanagra, Orange and Knime”, Procedia Computer Science (2016) pp. 662-668 Elsvier International Conference on Computational Modeling and Security (CMS 2016) in RLJIT.
• Amrita Naik,”Research process Framework”, IJCAT Journal Volume 3, Issue3, March 2016.
• Amrita Naik,”Computer Secrecy and Obscuration”, IJCAT Journal Volume 3, Issue3, March 2016.

9.00 am to 5.00 pm [on prior appointment]

Computer Network Lab