Dr Aswathy Madhu

Employee Code / +C4+B6:C+B6:C19 10425087
Qualifications M.Tech, Ph.D
Orcid ID https://orcid.org/0000-0002-6392-3318
Industry / R & D Experience 7 Y 10 M (teaching)
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9495337260/505
Areas of Interest / Current Research Audio Signal Processing, Environmental Sound Classification, Machine Learning and Deep Learning
Research,  Consultancy, Publication
  • Aswathy Madhu and Suresh K., “RQNet: Residual Quaternion CNN for Performance Enhancement in Low Complexity Device Robust Acoustic Scene Classification”, in IEEE Transactions on Multimedia (2023),  https://doi.org/10.1109/TMM.2023.3241553. (SCI).
  • Aswathy Madhu and Suresh K., “A Convolutional Model with Multi-Scale Feature Fusion, Duo Pooling, and Fusion Loss for Acoustic Scene Classification”, in Proc. 9TH IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE 23), Thiruvananthapuram, India, Nov 25 – 26, 2023.
  • Aswathy Madhu and Suresh K., “EnvGAN: A GAN-based augmentation to improve Environmental Sound Classification”, Artificial Intelligence Review (2022), Springer. https://doi.org/10.1007/s10462-022-10153-0 (SCIE).
  • Aswathy Madhu and Suresh K., “AtResNet: Residual Atrous CNN with multi-scale feature representation for low complexity Acoustic Scene Classification”, Circuits, Systems, and Signal Processing (2022), Springer. https://doi.org/10.1007/s00034-022-02107-2 (SCIE).
  • Aswathy Madhu and Suresh K., “EHTNet: Twin-pooled CNN with Empirical Mode Decomposition and Hilbert Spectrum for Acoustic Scene Classification”, in Proc. 14th IEEE International Conference on Signal Processing and Communications (SPCOM-22), Bengaluru, India, Jul 11 – 15, 2022.
  • Aswathy Madhu and Suresh K., “SiamNet: Siamese CNN based Similarity Model for Adversarially Generated Environmental Sounds”, in Proc. 31st IEEE International Workshop on Machine Learning for Signal Processing (MLSP-21), Gold Coast, Australia, Sep 25 – 28, 2021.
  • Madhu, A. and Suresh, K. (2019) Improved Deep CNN with Reduced Parameters for Automatic Identification of Environmental Sounds. International Journal of Engineering Research & Technology (IJERT), 7, 1-3. 
  • Aswathy Madhu and Suresh K., “Data augmentation using Generative Adversarial Network for Environmental Sound Classification”, in Proc. 27th European Signal Processing Conference (EUSIPCO-19), Spain, Sep 2 – 6, 2019, pp. 1–5.  
  • Baby, Mina & Madhu, Aswathy & R P, Aneesh. (2017). Biomedical Image Integrity Check for Telemedicine Applications by Hash Embedding & Wavelet Compression. 178-185.10.1109/NETACT.2017.8076763. 
  • Baby, Mina & Madhu, Aswathy. (2017). Steganography Based Biomedical Data Integrity Control with Lossless Compression. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET). 4. 51-59.
  • Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “A Survey Paper on Time-Frequency Analysis of EEG signal”, Progress In Science & Engineering Research (PISER), Vol.02, Issue: 03/06 May- June; Bimonthly International Journal, pp  046 – 051, 2014.
  • Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “Seizure Detection in Epileptic EEGs using Short Time Fractional Fourier Transform”, International Journal of Advances in Engineering and Emerging Technology (IJAEET), Vol. 2, Issue 1, pp 255 – 262, July 2013.
  • Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “Automatic Epileptic Seizure Detection in EEGs using Time-Frequency Analysis and Probabilistic Neural Network”, ICACC-2012, IEEE International Conference on Advances in Computing and Communication, Cochin, 9 – 11 August 2012. 
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) Nil
Academic / Professional Outreach Activities

Reviewer of Conference Papers – ICCC 2025, ETIS 2025, WASPAA 2025, Reviewer of Journal Papers – Frontiers in Computer Science, International Journal of Data Science and Analytics, Multimedia Systems, npj Acoustics, Pattern Analysis and Applications, Signal Image and Video Processing

Membership in Professional bodies/ organizations Life Member ISTE
Community Outreach Activities —–
Awards / Distinctions / Rank / Other Achievements if any
  • Qualified for Junior Research Fellowship (UGC-NET-JRF, July 2016, Govt. of India).
  •  Secured 2nd rank in CUSAT for MTech in Signal Processing, 2012.

Ms. Remya Annie Eapen

Employee Code / ID No. 10413032
Qualifications M.E, Pursuing Ph.D
Orcid ID https://orcid.org/0000-0002-7843-9377
Industry / R & D Experience
Email ID [email protected]
Alternate E-mail ID
Mobile No (Optional) / Intercom Extension No. Intercom Extension Number :211
Areas of Interest / Current Research Wireless Sensor Networks, IoT
Research, Consultancy, Publication 1. Krishnendu Lalaji, Remya Annie Eapen, “Priority Assignment Algorithms for Maximum Protection Ratio in Shared Mesh Protection”, 2021 International Conference on Computer Communication and Informatics (ICCCI), January 2021. 2. Amitha Khan Irshad, Arathy Krishnan, Avinash A S, Siddharth Sanjay, Remya Annie Eapen, Lani Rachel Mathew, K. Gopakumar, “Speech Assist” , International Research Journal of Engineering and Technology(IRJET),Vol 7, Issue 7,June 2020,pp 4273-4275.
3. Alvin Moses and Remya Annie Eapen, “Maximizing Energy Efficiency in Mobile Energy Harvesting
Wireless Sensor Networks using Particle Swarm Optimization”, IOSR Journal of Electronics and Communication Engineering (IOSR – JECE), Volume 14, Issue 3, Series II, pp. 49-55, May-June 2019.
4. Anand J. Ganesh, Bincy B. Varghese, Malavika V. V., Pooja Pratap Hasabe, Remya Annie Eapen, “Voice Controlled Reclining Wheelchair”, International Research Journal of Engineering and Technology (IRJET) Volume: 06 Issue: 06, June 2019.
5. Arathy S. lal, Remya Annie Eapen, “A Study on Topology Control in Wireless Sensor Network”, International Journal of Research in Advent Technology, Vol.2, No.8, August 2014,pp. 36-38, Apr 2014, E-ISSN: 2321-9637.
6. Arathy S. lal, Remya Annie Eapen, ” A review of mobile agents in wireless sensor network”, Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 3, issue 7, pp. 10842–10845, July 2014.
7. Abhaya D S, Remya Annie Eapen, “Energy efficient transmission in random clustered wireless sensor networks using cooperative MISO”, International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249 – 8958, Volume-4 Issue-6, August 2015.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle)
Academic / Professional Outreach Activities
Membership in Professional bodies/ organizations ISTE life member
Community Outreach Activities
Awards / Distinctions / Rank / Other Achievements if any 1. Secured 1% topper and received Silver with Elite Certificate for the NPTEL online course on “Python for Data Science” in 2019. 2. Received Gold medal with Elite Certificate for the NPTEL online course on “Joy of computing using Python” in 2018. 3. Presented the paper entitled “Improvement in network lifetime using game theory in wireless sensor networks” in the fifth National conference on Signals,Systems and Security NCSSS-2012,organised by Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology and selected as the best paper.

Mr. Jithin M. George

Employee Code / ID No. 10418062
Qualifications BTech in ECE, MTech in Communication Systems, pursuing Ph.D
Orcid ID 0000-0002-1660-4568
Industry / R & D Experience 1
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9037176122/110
Areas of Interest / Current Research Wireless Communication, 5G antennas
Research, Consultancy, Publication • Jithin M. George, S. Raghavan, “A design of miniaturized SIW-based band-pass cavity filter”, IEEE International Conference on Communication and Signal Processing (ICCSP ’17), April 2017.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle)
Academic / Professional Outreach Activities
Membership in Professional bodies/ organizations
Community Outreach Activities
Awards / Distinctions / Rank / Other Achievements if any 2014 GATE SCORE 698
DEC 2012 CSIR NET JRF RANK 124

Ms. Salga Ann Jacob

Employee Code / ID No. 10418065
Qualifications Bachelor of Engineering in ECE, Master of Engineering in Applied Electronics
Orcid ID https://orcid.org/0009-0004-4376-9044
Industry / R & D Experience —–
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 505
Areas of Interest / Current Research Medical Image Processing
Research, Consultancy, Publication
  • Kumar S.N., Lenin Fred A., Ajay Kumar H., Sebastin Varghese P., Salga Ann Jacob. (2020) Segmentation of Anomalies in Abdomen CT Images by Convolution Neural Network and Classification by Fuzzy Support Vector Machine. In: Bhattacharyya S., Konar D., Platos J., Kar C., Sharma K. (eds) Hybrid Machine Intelligence for Medical Image Analysis. Studies in Computational Intelligence, vol 841. Springer, Singapore.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —–
Academic / Professional Outreach Activities —-
Membership in Professional bodies/ organizations —-
Community Outreach Activities —-
Awards / Distinctions / Rank / Other Achievements if any
  • Teaching And Learning in Engineering (TALE) – NPTEL online certification (jan-feb 2024) 4 week course, funded by MoE Govt.of India- elite certificate
  • Achieved class second in the university examination held for the 1st semester in the academic year 2015-2016.
  • Achieved class first in the university examination held for the 2nd semester in the academic year 2015-2016
  • Anna University 13th Rank in ME-APPLIED ELECTRONICS

Ms. MAYA M WARRIER

Employee Code / ID No. 10425085
Qualifications B.Tech in Electronics and Communication Engineering , M.Tech in Communication Engineering , Pursuing Ph.D
Orcid ID https://orcid.org/0000-0001-8423-5664
Industry / R & D Experience —-
Email ID [email protected]
Alternate E-mail ID —-
Mobile No (Optional) / Intercom Extension No. —-
Areas of Interest / Current Research Biomedical Image Processing, Medical Image Analysis, Machine Learning and Deep Learning, Computer Vision, AI in Healthcare
Research,  Consultancy, Publication RESEARCH:

  • Pursuing research focused on the application of deep learning techniques to medical image analysis, with the goal of developing intelligent systems for early disease detection and clinical decision  support.

CONSULTANCY:

  • Delivered FDPs , Workshops & Internship programs on AI and Python at Engineering colleges under industry-academic collaboration with Liz Intelligent Solutions Pvt.  Ltd.

PUBLICATIONS:

  • Warrier, M.M., Resmi, R. and Abraham, L., 2025, February. “ParaMedNetX: A Deep Learning Framework for Pneumonia Classification Using Chest X-Rays”. In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL) (pp. 1224-1229). IEEE.
  •  Warrier, M.M. and Abraham, L., 2023, February. “A review on early diagnosis of lung cancer from CT images using deep learning”. In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022 (pp. 653-670). Singapore: Springer Nature Singapore.
  • Warrier, M.M., Abraham, L. and Resmi, R., 2023, July.” An Optimal Deep Ensemble Model for the Classification of Pneumonia from Chest X-Rays”. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
  • Warrier, Maya M., and Ajay Kumar. “An Energy Efficient Approach for Routing in Wireless Sensor Networks.” Elsevier, Procedia Technology 25 (2016): 520-527.
  • Warrier, Maya M., and Ajay Kumar. “Energy efficient routing in Wireless Sensor Networks: A survey”. Wireless Communications, Signal Processing and Networking (WiSPNET), International Conference on. IEEE, 2016 (pp. 1987-1992).
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —–
Academic / Professional Outreach Activities
  •  Contributed as a resource person for the 5-Day workshop on Artificial Intelligence, organized by Liz Intelligent Solutions Pvt. Ltd. in collaboration with Sree Buddha College of Engineering, Pattoor – July 2025.
  • Contribution as a resource person for the 7-Day Hands-on Python Internship organized by Liz Intelligent Solutions Pvt. Ltd in collaboration with St. Thomas Institute for Science and Technology, Trivandrum – June 2025 .
  • Contributed as a resource person for the Five-day Hands-on Workshop on “Applications of Artificial Intelligence and Machine Learning” organized by the Dept. of ECE, STIST and ISTE at St. Thomas Institute for Science and Technology, Trivandrum – August 2024.
  • Contributed as a resource person for the Three-day Hands-on Workshop on “Machine Learning and Deep Learning using Python” organized by the Dept. of ECE, STIST and KSCSTE at St. Thomas Institute for Science and Technology, Trivandrum – August 2023 .
Membership in Professional bodies/ organizations IEEE member , ISTE life member
Community Outreach Activities —–
Awards / Distinctions / Rank / Other Achievements if any
  • Secured KSCSTE Research Fellowship -2018 in Engineering Sciences.
  • Fourth rank in M.G University for M.Tech .

Ms. Gouri Nandhana

Qualification M.Tech
email ID [email protected]
Room No. | Extension No.
Area of Interest Digital Image Processing, Deep Learning
Publications Review paper on Elderly fall detection, IRJET, June 2022
Details of Faculty as resource person
Achievements of faculty (Like Gate/Net Qualification or any other achievement) No
Workshops, conferences, seminars (ORGANIZED) No
Workshops, conferences, seminars(ATTENDED) Attended skill development program on Arduino
Professional body Membership No
Date of joining @MBCET 04-03-2023
Details of previous work Experience:Industry / Academics / Others No
Awards No

Ms.Merin Philip

Employee Code / ID No.  —
Qualifications M Tech in Advanced Communication and Information Systems
Orcid ID  —
Industry / R & D Experience  —
Email ID [email protected]
Alternate E-mail ID  —
Mobile No (Optional) / Intercom Extension No.  —
Areas of Interest / Current Research Communication Engineering, Semiconductor Theory
Publications [1] Kuruvilla John, Merin Philip, Abhijith S., and Jincy Francis “QAM Transmission over RoF Using Fabry Perot Laser Diode and Continuous Wave Laser Diode”, International Journal of Innovative Technology and Exploring Engineering, vol.8, issue 12, Oct. 2019.
[2] Kuruvilla John, Najala Mehboob, Merin Philip, Abhijith S., and Jincy Francis “A Novel DSP Accelerator Using Carry Look-Ahead Concept”, International Journal of Engineering and Advanced Technology and
Exploring Engineering, vol.9, issue 1, Oct. 2019.
[3] Joseph Zacharias, Merin Philip, S. S. Supriya, Vijayakumar Narayanan “60 GHz OFDM Radio-over-Fiber system based on Fabry-Perot Laser Diode” 2017 IEEE International Conference on Circuit, Power and Computing Technologies (ICCPCT).[4] Joseph Zacharias, S S Supriya, Merin Philip, Vijayakumar Narayanan “20-Gb/S 60 GHz QAM ROF system using injection locking in a Fabry Perot Laser Diode” 2017 IEEE International Conference on Signal Processing and Communication (ICSPC)
[5] Presented paper in IEEE SCOPUS indexed conference (ICEOI) “A real-time agriculture field monitoring system ” (2019 April).
[6] Presented a paper in IEEE Conference (ICICCT) “Comparative study on different techniques for fencing
and monitoring moisture content of soil” (2019 June).
Workshops, conferences, seminars(ATTENDED) 1) Training program conducted by radio communication center, Alappuzha.
2) Attended an industrial training program on KEL, Kundara.
3) Faculty Development Program in Musaliar College of Engineering on Digital disign and emerging trends in VLSI.
4) Attended a NSS FDP in College of Engineering Thiruvananthapuram.
5) Completed a NPTEL online certification course “Principles of communication System-I” with silver medal conducted by IIT Kanpur.
6) ATAL workshop on Internet of Things (IoT) at NPTI, Alappuzha organised by AICTE .
7) Attended AICTE Quality initiatives, NITTT and NEAT workshop.
8) Attended day workshop on Latex One organised by Providence college of Engineering Chengannoor.
9) Attended One-day workshop on Demystifying Robotics. 10) Attended Webinar on research and innovation conducted by KGiSL Institute of technology Coimbatore.
Details of previous work Experience:Industry / Academics / Others 3 Years of teaching experience in Providence College of engineering Chengannoor.
Awards 1. Third rank in CUSAT B.Tech examination 2015

2. Second position for M.Tech examination 2017

Ms. HANNA LALU

Employee Code / ID No. 10425084
Qualifications M. TECH in Micro and Nano Electronics
Orcid ID —-
Industry / R & D Experience 4 years
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. —-
Areas of Interest / Current Research VLSI Design, NanoElectronics
Research,  Consultancy, Publication
  • Hanna Lalu. and Titto Anujan, 2023, March. Comparative analysis of graphene nanoantenna for different substrate at terahertz frequency. In 2023 4th International Conference on Signal Processing and Communication (ICSPC) (pp. 192-195).
  • Titto Anujan, T. Jose, B. Sugathan, Hanna Lalu, A. J. M and K. Ravikumar, “Performance Benchmarking of Graphene and Silicon Antennas in the Terahertz Spectrum,” 2025 6th International Conference on Control, Communication and Computing (ICCC), Thiruvanathapuram, India, 2025, pp. 1-5
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —-
Academic / Professional Outreach Activities —-
Membership in Professional bodies/ organizations —-
Community Outreach Activities —-
Awards / Distinctions / Rank / Other Achievements if any Best Paper Award at IEEE 2023 4th International Conference on Signal Processing and Communication (ICSPC)

Ms. Jeena Viji

Qualification M.Tech in Micro and Nano Electronics
email ID [email protected]
Room No. | Extension No. B205A
Area of Interest Digital electronics, Design of VLSI Systems, Low power VLSI, Nano elctronics
Publications • Jeena Viji and Titto Anujan, “Design and Parametric Analysis of Quad Band Metamaterial Absorber”, 4th IEEE International Conference on Signal Processing and Communication, March 2023.
• Jeena Viji and Titto Anujan, “A Review on Electromagnetic Metamaterial Absorbers”, 5th IEEE International Conference on Control, Communication and Computing held at College of Engineering Trivandrum, May 2023.
Details of Faculty as resource person
Achievements of faculty (Like Gate/Net Qualification or any other achievement) First Rank holder in Electronics and Communication Engineering from College of Enginnering, Adoor
Workshops, conferences, seminars (ORGANIZED)
Workshops, conferences, seminars(ATTENDED) Attended a workshop based on Raspberry pi robot held at College of Engineering, Adoor.
Professional body Membership
Date of joining @MBCET 04-09-2023
Details of previous work Experience:Industry / Academics / Others
Awards Best Performer Award in Mtech Degree Examination, First Rank Holder in EC from College of Engineering, Adoor.

Mr.H Aravind Sarma

Employee Code / ID No. 10423079
Qualifications Mtech in Telecommunication Engineering
Orcid ID —-
Industry / R & D Experience 19 months
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 7356683623
Areas of Interest / Current Research Machine Learning and Deep Learning
Research,  Consultancy, Publication
  • H Aravind Sarma, Sherry Varghese George, “Channel Estimation in V2V Communication”,  International Conference on  Emerging Technologies for Intelligent Systems (ETIS), Feb 7-9 2025,  DOI: 10.1109/ETIS64005.2025.10961228
  • H Aravind Sarma, Jijo Jose,” Real Time Fall Detection Model with Action Recognition”, Global Conference on Information Technologies and Communications (GCITC), December 1, 2023.
  • H Aravind Sarma, Jijo Jose, “Deep Learning Based Real Time Fall Detection Model”, 3rd International Conference on Emerging Techniques in Computational Intelligence, September 21 2023, ISBN:979-8-3503-0061-1, DOI: 10.1109/ICETCI58599.2023.10331387.
  • Aditya Raj, Abhishek Anil, H Aravind Sarma, R Naveen Chandran, Deepa P. L., BrainNET: A Deep Learning Network for Brain Tumor Detection and Classification” Advances in Communication Systems and Networks, Lecture notes in Electrical Engineering Vol. 656, pp. 577-589, June 2020.
  • Aditya Raj, Abhishek Anil, H Aravind Sarma, R Naveen Chandran, Deepa P. L., “Brain Tumor detection from brain MRI using Deep Learning”, International Conference of Recent Engineering Trends and Technology Journal of Engineering and Advanced Technology, December 2019.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle)
Academic / Professional Outreach Activities
Membership in Professional bodies/ organizations
Community Outreach Activities
Awards / Distinctions / Rank / Other Achievements if any
  • Qualified UGC NET for eligiblity of Ph. D – June 2024 and December 2024.
  • First Rank for B.tech ECE at MBT[ 2015- 2019]
  • First Rank for M.tech TCE [ 2021-2023]