Welcome to Department of

Dr. MAIBAM MANGALLEIBI CHANU

Assistant Professor (Contractual)
Computer Science and Engineering

Email: [email protected]

MAIBAM MANGALLEIBI CHANU

Assistant Professor,                                                   

Department of Computer Science and Engineering, 

National Institute of Technology Manipur (NIT Manipur),

Email ID : [email protected]

Subjects Handled:

B.Tech:

1. Computer Organization and Architecture(UCS04C02)

2. Data Structures (UEC05C05)

3. Artificial Intelligence(CS436)

4. Operating System(CS303)

5. Information Storage and Retrieval(CS308)

6. Software Engineering(CS301)

7. Data Mining (CS443)

8. Introduction to Computing (CS201)


M.Tech:

1. Computer Systems and Networks (CS503)

 

Research Interests

Machine Learning, Deep Learning, Medical Image and signal Processing

 

Experience:

Sl. No

Organization

Designation

Period (Date)

From

To

1.

Veltech Multitech Engineering College, Chennai.

Asst. Prof.

13/11/2011

13/03/2013

2.

District Rural Development Agency, Imphal

IT Manager

30/03/2013

14/1/2014

3.

NIT Manipur

Asst. Prof

15/1/2014

Till date

Paper Published

S.No

National Conference/International Conference/Sci journals

Publisher

1

An identity based security framework for user privacy and non-repudiation in vanet. 

National conference ''Proceedings on High Performance Computing at Government College of Engineering, Tirunelveli, March 2011."

2

An identity based threshold verification outline achieving user secrecy in vanet.

International Conference" Proceedings on 4G wireless and computer network at Kamban engineering College, Tiruvanamalai, March 2011."

3 Computer-aided detection of brain tumor from magnetic resonance images using deep learning network.

Journal of Ambient Intelligence and Humanized Computing, Springer, July 2020. (SCI)

4 Brain Tumor Segmentation and Classification using Hybrid clustering technique and SVM
Classifier.
International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-1S, November 2019, (Scopus)

5 A Deep Learning Approach for Object
Detection and Instance Segmentation using
Mask RCNN.

Journal of Advanced Research in Dynamical & Control Systems, Vol. 12, 03-Special Issue, 2020, (Scopus)

6 A review on Brain Tumor Segmentation and Classification from Magnetic Resonance Images using Deep learning methods Journal of Advanced Research in Dynamical and control systems, Vol.  12 (03), 2020, pp. 87-94.(Scopus)
7 Deep learning technique for classification of tumor present in brain MRI images. International Conference on science and innovative engineering, September 2020.
8 A Deep Learning Technique for Detection and Classification of Brain Tumor using MRI Images. International Conference on Contemporary Engineering and Technology, 2021
9 A novel Deep-Learning for Automatic Detection and Classification of Lung Cancer Using Transfer Learning Technique. International Conference on Advances in Science, Engineering and Management ICASEM 2022
10 An Automatic Epileptic Seizure Detection using Optimized Neural Network fromEEG signals.  Expert Systems, https://doi.org/10.1111/exsy.13260, February 2023 (SCI).
11  Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning  Soft Computing, https://doi.org/10.1007/s00500-023-08343-1. vol 27, pp 9927-9940, May 2023 (SCI)
12  Classification of unsegmented phonocardiogram signal using scalogram and deep learning.  Soft Computing, Springer, vol 27, pp 12677-12689, July 2023 (SCI)
13 Detection of Alzheimer’s disease from MRI Images using multi-classifiers International Conference on Innovations in Electronics and Communication Systems (ICIECS 2022)
14 Identification of Insect Pests and Prediction of Pesticides using YOLOv4 deploying onto UBIOPS  International Conference on Innovations in Electronics and Communication Systems 2022.
15

PCG Classification using Scalogram and CNN Classifier

International Conference on 5g-SDECC, July 2024.

Academic Information

Degree/Examination

University/Board

Year of passing

Ph.D(Computer Science and Engineering) NIT Manipur 2022

M.E(Computer Science and Engineering)

Anna University, Chennai

2011

B.E(Computer Science and Engineering)

Anna University, Chennai

2009

HSE

CBSE

2005

HSLC

BOSEM, Manipur

2003