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Dr. Neema M
Dr. Neema M
Assistant Professor

Ms Neema M currently serves as Assistant professor at the department of Electronics and Communication,  ASIET since September 2011. 

Ms. Neema’s areas of interest include Wireless communication, Machine Learning and Embedded system. She has showed her expertise in the field by publishing research papers in various peer reviewed journals and internal and national conferences. She possess exposure in finding solutions for classification and regression problems using Deep learning algorithms. Exposure to deep learning framework Keras and have working knowledge in libraries like Pandas, Matplotlib and Numpy. Possess hands-on experience in application development in embedded boards and FPGA kits for IoT applications. She has also conducted expert classes and workshops in areas of Python and deep learning and in project designs. She has participated in several workshops and conferences. She has contributed to the academic community by serving as a reviewer for international conferences. She also demonstrated her leadership and organizational skills by handling positions like IEEE COMSOC chapter advisor.

 

Qualification details
Degree Institution/University
Ph.D NIT Tiruchirappalli
MTech MG University
BTech

MG university

 

PAPER PUBLICATIONS

A. In Journals

1.  Suresh. Manju, and M. Neema. ,Hardware Implementation of Blowfish Algorithm for the Secure Data Transmission in Internet of Things.; Procedia Technology 25(2016): 248-255.   http://dx.doi.org/10.1016/j.protcy.2016.08.104 (SCOPUS)

2. Neema, M., Gopi, E.S. Data Driven Approach for mmWave Channel Characteristics Prediction Using Deep Neural Network. Wireless Pers Commun 120, 2161–2177 (2021). https://doi.org/10.1007/s11277-021-08768-7 (SCIE)

3. M. Neema, E.S. Gopi, Pulakunta Sandeep Reddy, Optimizing Broadband Access and Network Design in Wireless Mesh Networks using Multi-Objective Particle Swarm Optimization, Procedia Computer Science, Volume 230, 2023, Pages 275-286, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.12.083 (SCOPUS)

4. Neema M. et. al., (2023). Deep Learning Aided Estimation of the Probability of Outage in Multi-User NOMA. Journal of Advancement in Communication System, 6(3), 21–30. https://doi.org/10.5281/zenodo.10141413

B. In Conferences

1.  Anuroop, K. B and Neema M, A Survey on Hardware/Software Codesign: LatestTrends and Techniques;, Kerala Technological Congress (KETCON-2016 Technology for Sustainability)

2. Anuroop, K. B., and M. Neema. ;Fully pipelined-loop unrolled AES with enhanced key expansion." In Recent Trends in Electronics, Information and  Communication Technology (RTEICT), IEEE International Conference on, pp. 988-992. IEEE, 2016. DOI:  10.1109/RTEICT.2016.7807977 (SCOPUS)

3.  Anuroop, K. B., Anu James and M. Neema. “Hardware Software Codesign For A Hybrid Substitution Box “, In The 30th International Conference on VLSI Design and 16th International Conference on Embedded Systems: Technologies for a secure and connected world Cloud computing and ioe,7-11 January, 2017, Hyderabad international convention centre, India. DOI: 10.1109/VLSID.2017.46 (SCOPUS)

4.  Nimmy Vincent and Neema M. “Survey on variable digital filters used for channelization in software defined radio”, Proceedings of International Conference on Innovations in Information, Embedded and Communication Systems(ICIIECS,2017) , 17-18 March 2017, Karpagam College of Engineering, Coimbatore ISBN: 978-1-5090-3293-8

5.  Akhil Joseph, Amila Ikbal, Anitta V J, Arjun R Krishnan, Neema M “ IoT enabled Air Quality Monitoring and Visualization System ” published in the Journal IJFRCSCE as part of RTVCN 2018, ISSN: 2454-4248, Volume: 4 Issue: 5

6. Prasad, K., Sajith, P. S., Neema, M., Madhu, L., & Priya, P. N. (2019, October). Multiple eye disease detection using Deep Neural Network. In TENCON 2019-2019 IEEE Region 10 Conference (TENCON) (pp. 2148-2153). IEEE. (SCOPUS)

7.  Arya S Nair, Annette Joy, Amal Pradeep Menon, Asiya Haris,  Neema M,. Skin Lesion/Cancer Detection Using Deep Learning, presented in ACCESS 2020 and published in International Journal of Applied Engineering Research ISSN 0973-4562 Volume 15, Number 1, 2020 (Special Issue):

8. M. Neema, E. S. Gopi and P. K. Katoj, "User Spatial Localization for Vision Aided Beam Tracking based Millimeter Wave Systems using Convolutional Neural Networks," 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021, pp. 7-12, doi: 10.1109/ICIAfS52090.2021.9605960. (SCOPUS)

Book chapter

  1. Neema, M., Gopi, E.S., Viswas, R., Gandhi, M. (2023). DNN Approach to Obtain BER vs SNR for Spatial Modulation System. In: Kulkarni, A.J., Gandomi, A.H. (eds) Handbook of Formal Optimization. Springer, Singapore. https://doi.org/10.1007/978-981-19-8851-6_35-1

Patent Publication

Title of invention: BOJA: THE AUTOMATIC WALL PAINTING ROBOT

Application number: 202041029593 A

Publication Date: 31/07/2020

Funded Projects

Principal investigator for the project titled ‘Multiple Eye disease detection using Deep Convolutional neural network’ got funding from KTU CERD under student project scheme in 2018-19.

Google scholar link: https://scholar.google.com/citations?authuser=1&user=qqwFpbQAAAAJ

 

Academic Year

Project Title
2023-2024 Real-time indoor air quality monitoring and purification system using sensor data and machine learning technique. (Presented in ICSCSS-2024, Got second position in Aavishkar'24)
2022-2023 Smart Gym: Implementing Machine learning for a more efficient workout experience
2021-2022 Autonomous and manual control floor cleaning robot with sanitizing function

2019-2020

Skin cancer/ Lesion detection using Deep Learning. (Presented in ACCESS’20)

2018-2019

Multiple Eye disease detection using Deep Convolutional neural network (Presented in IEEE Tencon 2019 and published in IEEE Xplore, Funded by KTU CERD SPS Scheme)

2017-2018

IoT enabled air quality monitoring system (Presented in RTVCN 2018)

2016-2017

Low complexity VDF based on ICDM for channelization in SDR (Presented in ICIIECS 2017)

2014-2016

1. Implementation of Blowfish algorithm for transmission security in IoT (Published in Elsevier Procedia Technology 25 (2016): 248-255. http://dx.doi.org/10.1016/j.protcy.2016.08.104)

2. Hardware software Co-design of Advanced encryption standard ( Presented in VLSID-2017 ,DOI: 10.1109/VLSID.2017.46)

2013-2014

1.EEG signal based drowsiness detection

2. Genetic Algorithm for Hardware Software partitioning

2011-2012

Switching bilateral filter with noise detector for universal noise removal in images

 

  • Doctoral Research:
    • University: Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli (NITT).
    • Thesis Title: Investigations on machine learning and computational intelligence applications in wireless communication
    • Supervisor: Dr. E S Gopi, Professor, Department of Electronics and Communication Engineering, NITT
  • Training Attended

Academic Year 2023-2024

Attended ATAL FDP on Exploring Explainable and Generative AI in Contemporary Machine Learning at ASIET from 15/01/2024 to 20/01/2024.

Academic Year 2022-2023

1. FDP on ML and DL applications in Computer Vision organised by ASIET from 30th January 2023 to 3rd February 2023

Academic Year 2021-2022

1. Workshop on Machine learning, Deep learning and Computational Intelligence for wireless communication organised by NIT Trichy from 30th May to 24th June 2022

Academic Year 2020-2021

1. FDP on R&D approach to Industry 4.0 organised by IES College of engineering Thrissur from 3rd to 5th June 2020

2. ATAL Academy online FDP on "Internet of Things(IoT) organised by National ower training institute from 24th to 28th August 2020

3. ATAL Online Faculty Development Program(FDP)on "Robotics" at Adi Shankara institute of engineering and technology From 7/9/20- 11/9/20

4. Three day FDP on Artificial intelligence using MATLAB organised by CoreEL technologies from 25th to 27th February 2021

Academic Year 2019-2020

1. Industrial training on Intelligent transport management systems at Technovia Info Solutions Kakkanad on 5/12/2019.

2. Colloquium on ML with Signal Processing for Data Analytics held during 27th -28th September 2019 organised by IEEE SPS Forum of IEEE Kochi subsection

3. Workshop on 5G wireless technologies: Massive MIMO,mmWave, NOMA, FD,OFDM/FBMC , NB-IoT organized by IIT Kanpur at MSRIT Bangalore from 8/7/2019 to 14/7/2019

Academic Year 2018-2019

1. Workshop on Artificial intelligence , Machine Learning and Deep learning at NIT Trichy from 26/11/2018 to 30/11/2018

Academic Year 2017-2018

1. Workshop On Machine learning and Deep Learning at TCS Kochi on 26th April 2018

2. Seminar on Role of Intellectual Property Rights(IPR) in Technology Transfer at ASIET Kalady on 20th April 2018.

3. Workshop In Deep Learning for Computer Vision at MITS, Puthencruz on 9th to 13th January 2018

Academic Year 2016-2017

1.Workshop on Matlab and Simulink Applications at ASIET Kalady on 3rd and 4th of July 2017

2. Workshop on recent trends in VLSI Technology, 3/1/2017 to 7/1/2017, ASIET

Academic Year 2015-2016

1. Workshop on LaTeX - report and article writing, 27/6/2016 - 28/6/2016, at CUSAT

2. Workshop on Sustainable Engineering, Dept. of Mech,15th-21st July 2015, ASIET, Kalady

3. Intel® College Excellence Program, Excellence in Intelligent Systems, 4 day workshop at ASIET Kalady from 25/9/15 to 28/9/15

Academic Year 2014-2015

1. Workshop on VLSI system design at RSET Kakkanad from 16/12/’14 to 18/12/’14

2. Workshop on Communication System Design using Software Defined Radio/USRP at ASIET Kalady from 27/5/’14 to 28/5/’14

Academic Year 2013-2014

1.  Workshop on Electronic design tools and its application at Division of electronics, School of engg. CUSAT from 27 to 31 May 2013

 

Add-on Courses/Certifications

1. NPTEL Course on “ Embedded System Design” with ELITE Certification (Jan-April 2018)

2. NPTEL Course on “ Python for Data science” with ELITE Certification (Aug-Nov 2019)

3. " Deep Reinforcement Learning; A hands-on tutorial in Python" offered in Udemy in October 2019

4. " Learn NUMPY Fundamentals (Python Library for Data Science)" offered in Udemy in October 2019

5. "A Practical Introduction to Cloud Computing" offered in Udemy in April 2020

6. "An introduction to Practical Deep Learning" offered by Intel in Coursera in May 2020

7. "Deep Learning Onramp" offered by Mathworks in June 2020

8. "Deep Learning Prerequisite: The Numpy stack in Python(V2+)" offered in Udemy in June 2020.

9."The ultimate python basics- Bootcamp" offered in Udemy in June 2020.

10. "Programming for Everybody (Getting Started with Python)" offered by the University of Michigan in Coursera in September 2020

 

Email Phone Date Of Joining
neema.ec[@]adishankara.[ac].[in] 0484-2463825 26-09-2011