Department: Computer Science & Engineering

Dr. Jesna Mohan

Employee Code / ID No. —-
Qualifications PhD
Orcid ID 0000-0002-5801-5390
Industry / R & D Experience 3 Years
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9497467715
Areas of Interest / Current Research Machine Learning, Image Processing, Video Processing, Pattern Recofgfnition
Research,  Consultancy, Publication Publications

 International Journals

  1. Jesna Mohan and Madhu S. Nair, “Dynamic Summarization of Videos based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder”, IEEE Access, Vol.6, No.1, pp.59768-59778, November 2018.
  2. Jesna Mohan and Madhu S. Nair, “Domain Independent Static Video Summarization using Sparse Autoencoders and K-means Clustering”, Journal of Intelligent and Fuzzy Systems, IOS Press, Vol.36, No.3, pp.1945-1955, March 2019.
  3. Jesna Mohan and Madhu S. Nair, “Domain Independent Redundancy Elimination based on Flow Vectors for Static Video Summarization”, Heliyon, Elsevier, Vol.5, No.10, Article No.e02699, October 2019. (Cite Score: 1.23)

Book Chapters

  1. Jesna Mohan and Madhu S. Nair, “Domain-Independent Video Summarization based on Transfer Learning using Convolutional Neural Network”, First International Conference on Advances in Electrical and Computer Technologies – ICAECT 2019 (Coimbatore, India), Lecture Notes in Electrical Engineering (LNEE), Springer.

International Conferences

  1. Madhu S. Nairand Jesna Mohan, “Video Summarization using Convolutional Neural Network and Random Forest Classifier”, IEEE TENCON 2019 (Kochi, India), IEEE Region 10, IEEE Computer Society Press, pp.474-478, October 2019.
  2. Jesna Mohan and Madhu S. Nair, “Static Video Summarization using Sparse Autoencoders”, Third IEEE International Conference on Electrical, Computer and Communication Technologies – IEEE ICECCT 2019 (Coimbatore, India), IEEE Computer Society Press, pp.1-8, February 2019
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —
Academic / Professional Outreach Activities
  • Resource Person for the AICTE sponsored FDP on ” Role of Machine Learning in IOT Applications” conducted by Marian Engineering College, Thiruvananthapuram, Kerala (Dec 2019)
  • Resource Person for the Talk Series by Data Analytics Group at Dept. of CSE, MBCET (Dec 2019).
  • Resource Person for 2 week Internship on Deep Learning at Dept. of CSE, MBCET during (Nov 2019).
  • Resource Person- 6 days STTP on Artificial Intelligence & Applications,  sponsored by the AICTE from 26-07-2021 to 31-07-2021
  • Resource Person-4 days FDP on Recent trends in Computing Technology and Tools, Panimalar Institute of Technology on July 06 2020.
  • Resource Person- AICTE sponsored Six days STTP on High Performance Computing for Image and  text Analysis.
  • Resource Person for workshop on ” Machine Learning and Deep Learning” organized by ACM student chapter, MBCET(November 2019).
  • Resource Person for Three day Residential Camp of Gender and Technology Programme, ICFOSS, August 2019.
  • Resource Person for Artificial Intelligence, Machine Learning and Deep Learning seminar at MG College of Engineering and Technology (oct 2019).
  • Resource Person for the National Workshop on Deep Learning and Artificial Intelligence organized by ISTE MBCET Student Chapter(Nov 2018).
  • Technical Program Committee member- International Advanced Computing Conference.
  • Session chair- IEEE Second International Conference of Emerging Technology (INCET 2021)
Membership in Professional bodies/ organizations ACM, ISTE
Community Outreach Activities —
Awards / Distinctions / Rank / Other Achievements if any Qualified GATE 2014

 

Ms. Jisha Jose

Employee Code / ID No. 10213026
Qualifications M.E COMPUTER SCIENCE AND ENGINEERING
Orcid ID https://orcid.org/0000-0002-2888-8254
Industry / R & D Experience Nil
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No / Intercom Extension No. 9400794614(M), 145 (Intercom)
Areas of Interest / Current Research Embedded Systems, IoT, Computer networks, Machine Learing
Research,  Consultancy, Publication • Published the paper titled Remote Health  Monitoring and Diagnosis Service Platform  Via Wearable ECG Monitor in International Journal of Science, Engineering and Technology Research (IJSETR), Volume 2, Issue 5, ISSN: 1095-1099, May 2013.

• AUTO-LEADING ROBOTIC CONVOY in International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 4,ISSN:1047- 1051, April 2014.

• An Access Control Model for Shared Data in Online Social Networks, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 12, ISSN:3506-3512, December 2014,

• OpenBot in International Journal of Science, Engineering and Technology Research (IJSETR),Volume 6, Issue 6, pp.1012-1015,ISSN: 2278 – 7798, June 2017,

• COLLEGE BUS TRACKER in International Journal of Science, Engineering and   Technology Research , Volume 7,Issue 5, pp.309-316, ISSN: 2278 – 7798, May-2018
• Published the paper titled ” IoT DEVICE MANAGEMENT USING BLOCKCHAIN ” in International Journal of Science, Engineering and Technology Research , Volume 8, Issue3, pp.79-84, .March-2019

• Published a Paper Title ” PAWTOPIA: A Virtual Animal Sanctuary”, paper ID- IJREAM-V06-I03-63115 in International Journal for Research in Engineering Application & Management (IJREAM), ISSN : 2454-9150 Vol-06, Issue-03, June 2020.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) nil
Academic / Professional Outreach Activities ·            Organized Hackathon , IoT workshop, Android App Development workshop, technical talks, Blockchain workshop, Python bootcamp, Online webinars in association with IEEE Computer Society.
Membership in Professional bodies/ organizations ISTE Membership
Community Outreach Activities NIL
Awards / Distinctions / Rank / Other Achievements if any nil

Ms. Dhanya L K

Employee Code / ID No. —–
Qualifications M.tech ,PHD (doing at CUSAT)
Orcid ID Dhanya L K (0000-0002-1383-4384) – My ORCID
Industry / R & D Experience 3 Years
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9447791479
Areas of Interest / Current Research Natural Language Processing,Machine Learning ,Data science
Research,  Consultancy, Publication

Journals:  

  • Integrating Hybrid Neural Networks and Domain-Specific Embeddings for Detecting Hate Content in Code Mixed Social Media Comments  ISSN: 2182-2069 / E-ISSN: 2182-2077 published in Journal of Internet Services and Information Security (JISIS), volume: 14, number: 3 (August), pp. 316-329.
  • Hierarchical Structure Generation for Malayalam using Hybrid Approach” by Dr. Elizabeth Sherly, Dr. L.K. Dhanya, and Dr. Rajeev R.R. was published in the International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 4, Issue 9, in September 2015, spanning pages 108-112.

International Conferences :  

  • “Hate Speech Detection in Asian Languages: A Survey” was published in the 2021 International Conference on Communication, Control and Information Technologies and published in IEEE explorer.
  • “Survey on the Design and Development of Indian Language Chatbots”, which was published International Conference on Communication, Control and Information Technologies  conference in 2021 and published in IEEE explorer.
  • “Comparative Performance of Machine Learning Algorithms in Detecting Offensive Speech in Malayalam-English Code-Mixed Data” was published in Advances in Distributed Computing and Machine Learning (2022)  and Published in Springer.
  • “Analysis of Machine Learning Algorithms for Predicting the Suitable Career After High School”, which was featured in the Proceedings of the Third International Conference on Communication, Computing, and Networking Technologies  and Published in Springer.

National conference :

  • “S-O-V based Parser for Malayalam using Hybrid Approach” with Dr. Rajeev R.R., which was presented at the UGC-sponsored National Conference on Recent Trends in Information Technology.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) NO
Academic / Professional Outreach Activities —–
Membership in Professional bodies/ organizations ACM
Community Outreach Activities —–
Awards / Distinctions / Rank / Other Achievements if any —-

Ms. Jayalekshmi J

Employee Code / ID No. —–
Qualifications M.Tech in Computer Science and Engineering
Orcid ID —–
Industry / R & D Experience 4 years
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9995665963/211
Areas of Interest / Current Research Machine learning,Information security
Research,  Consultancy, Publication
  • “Multimodal Sentiment Analysis – A Study on Classification Techniques for Multimodal Sentiment Analysis”, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCEE) Vol. 4, PP.15254-15260,Issue 8, August 2016.
  • ”Facial Expression Recognition and Emotion Classification System for Sentiment Analysis” IEEE international conference on Networks and Advances in Computational Technologies, July 2017 ISBN: 978-1-5090-6590-5.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —–
Academic / Professional Outreach Activities 1. Department level coordinator of Alumni association for the academic year 2020-2021.
2. Coordinator of internship on deep learning for Mahendra College students – 25th Nov to 5th Dec,2019 under the initiative of AI Club, Department of CSE, MBCET.
3. Resource person for the workshop “Machine learning and  Deep learning” organized by ACM Student Chapter, MBCET during September 20,21 and November 9 and 10 of 2019.
4. Member of the organizing Committee of 2nd International Conference on Networks and Advances in Computational technologies (NETACT19) from 23rd to 25th of July 2019 organized by department of CSE, MBCET.
5. Module coordinator of Applied Computer Science for the academic year 2019-2020
6. Organised workshop on R-Programming and FOSS Philosophy on November 10th, 11th 2017, as part of FOSS Club.
7. Conducted Latex Training program for Final Year Btech Students on February 22nd 2018.
Membership in Professional bodies/ organizations —–
Community Outreach Activities —–
Awards / Distinctions / Rank / Other Achievements if any Distinction in M.Tech Computer Science and Engineering

Mr. Ramjith R P

Employee Code / ID No. 10217032
Qualifications M-Tech, (Pursuing PhD)
Orcid ID https://orcid.org/0000-0002-8856-0402
Industry / R & D Experience —-
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9746314160
Areas of Interest / Current Research Machine Learning, Image Processing
Research,  Consultancy, Publication —-
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —-
Academic / Professional Outreach Activities YouTube videos on Data Structures, Operating Systems etc…
Membership in Professional bodies/ organizations —-
Community Outreach Activities —-
Awards / Distinctions / Rank / Other Achievements if any Qualified Gate 2011, 2012.  IBM’s AI Practitioner

Ms. Anjali S

Employee Code / ID No. AC20CS02 / 10220038
Qualifications M.Tech
Orcid ID https://orcid.org/0000-0001-5798-6227
Industry / R & D Experience —-
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9947666052
Areas of Interest / Current Research Computer Vision and image processing
Research,  Consultancy, Publication
  • Ms. Anjali. S, Ms.Vinny Pious, Joel J. Sebastian, J. Krishnanunni, Joveal K. Johnson,and Ashik Mujeeb have published a paper entitled “Multi-Stage Fruit Grading System” in the Springer Book series Lecture Notes in Networks and Systems (LNNS, volume 672), Electronic ISSN 2367-3389.
  • Presented the paper entitled “Speech therapy assistance through gamification in the IEEE sponsored International conference on Computing and Intelligent Reality Technologies’ organised by Karunya Intitute of Technology and Sciences, Coimbatore, India.
  • Adil, A.P., Anandhu, M.G., Joy, J.E., Karethara, T.S., Anjali, S., Poorna, B.R. (2023). Accident Detection in Surveillance Camera. In: Hemanth, J., Pelusi, D., Chen, J.IZ. (eds) Intelligent Cyber Physical Systems and Internet of Things. ICoICI 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-1849
  • Published the paper ‘Image Segmentation using Level set Based Active Contour Models’, in “The Proceedings of International Conference on Computer Vision and Robotics’ August 2011, Bhuvneshwar.
  • Published the paper ‘Comparative Analysis of Image segmentation methods’ in International Journal of Computer Science Trends and Technology, IJCST- Volume 6 Issue 4/July-Aug 2018.
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 time membeship
Community Outreach Activities —-
Awards / Distinctions / Rank / Other Achievements if any GATE Qualified (2009)

Dr. Priya Mariam Raju

Employee Code / ID No. 10223056
Qualifications Ph.D.(Image Processing, Computer Vision, Machine Learning), M. Tech in CSE. B. Tech in CSE
Orcid ID 0000-0002-3203-0226
Industry / R & D Experience Full Time Research (5 years)
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 9497327318
Areas of Interest / Current Research Image Processing, Computer Vision, Machine Learning, Deep Learning
Research,  Consultancy, Publication
  • Priya Mariam Raju, Deepak Mishra, and Prerana Mukherjee. “DA-SACOT: Domain-Adaptive Segmentation guided Attention for Correlation based Object Tracking” Image and Vision Computing, May 2021. (Impact Factor: 4.7, SCI Indexed)
  • Priya Mariam Raju, Deepak Mishra, and Rama Krishna Sai S. Gorthi. “Detection based long term tracking in correlation filter trackers.” Pattern Recognition Letters 122 (2019): 79-85. (Impact Factor: 5.1, SCI Indexed)
  • Priya Mariam Raju, and Madhu S. Nair. “Copy-move forgery detection using binary discriminant features.” Journal of King Saud University-Computer and Information Sciences (2022).(Impact factor: 6.9, SCIE Indexed)
  • Rout, L., Priya Mariam Raju., Mishra, D., Gorthi, R. K. S. S. (2018, December). Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. In Asian Conference on Computer Vision (pp. 646 – 661). Springer, Cham.
  • Priya Mariam Raju, Mishra, D., and Subrahmanyam, G. R. K. S. (2018, December). Bag of Visual Words based Correlation Filter Tracker (BoVW-CFT). In Proceedings of the 11th Indian Conference on Computer Vision, Graphics, and Image Processing (pp. 1-9).
  • Kristan, Matej, et al. “The sixth visual object tracking VOT2018 challenge results.” Proceedings of the European Conference on Computer Vision (ECCV) Workshops (2018).
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 —-

Ms. Prathibha S Nair

Employee Code / ID No. 10221041
Qualifications M.Tech in Computer Science
Orcid ID https://orcid.org/0000-0001-5636-2308
Industry / R & D Experience Worked in HCL Info systems, Chennai
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 8547074309
Areas of Interest / Current Research Image processing, Computer Vision, Machine Learning
Research,  Consultancy, Publication
  • Book Publications
    Prathibha S. Nair, Vijitha Robinson and Kailas Sree Chandran, Algorithmic Thinking with Python, October 2024. ISBN : 978-93-341-3517-6
  • Vijitha Robinson, Prathibha S. Nair and Kailas Sree Chandran, Foundations of Computing From Hardware Essentials to Web Design, January 2025. ISBN : 978-93-342-1525-0
  • Image Search Reranking, Prathibha S Nair, Ayswarya Chandramohan International Journal of Scientific & Engineering Research, Volume 7, Issue 6, June-2016, ISSN 2229-5518.
  • Comparison Of Image Search Reranking Techniques , Prathibha S Nair ,Ayswarya Chandramohan,International Journal of Computer Science Trends and Technology (IJCST) – Volume 4 Issue 1, Jan – Feb 2016
  • Survey on An Internal Intrusion Detection and Protection System by Using Data Mining and Forensic Techniques, Shyju S, Prathibha S Nair Imperial Journal of Interdisciplinary Research (IJIR) ,Vol-2, Issue-5, 2016, ISSN: 2454-1362, http://www.onlinejournal.in
  • An efficient method for Multimedia Answer Generation for complex queries by Harvesting Web Information, IJMTER,Volume 02, Issue 06, [July –2015] ISSNOnline):2349–9745
  • A Survey On Privacy and Authentication Mechanisms In Vehicular Ad Hoc Network (VANET), Elizabeth Rose Lalson, Prathibha S Nair, International Journal of Advanced Research Trends in Engineering and Technology (IJARTET) Vol. II, Special Issue VI, February 2015
  • An efficient method for Multimedia Answer Generation forcomplex queries by Harvesting Web Information Manoba J P R, Prathibha S Nair. International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 02, Issue 06, [July– 2015] ISSN (Online):2349–9745 ; ISSN (Print):2393-8161
  • Robust Image Authentication Based on Predictive Lossless coder, Manoba J P R, Prathibha S Nair, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953 Volume 3, Issue 2(March, 2014) journal IJSRCSAMS
  • SoftTutor-An XML Based Architecture for Online Questionnaire Evaluation, Lekshmi A, Prathibha S Nair at 2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICCICCT) ICCICCT-2014.
  • A comparative study on Intelligent Tutoring System fostering self regulated learning” IOSR Journal of Computer Engineering (IOSR-JCE) ,Vol16,Issue2, Mar-Apr 2014,2014
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —
Academic / Professional Outreach Activities —
Membership in Professional bodies/ organizations ISTE Lifetime member
Community Outreach Activities —
Awards / Distinctions / Rank / Other Achievements if any
  • Received Best Teacher Award from Mohandas College of Engineering and Technology in 2016.
  •  A paper entitled “A Comparative Analysis of Swarm Intelligence Techniques for Weather Forecasting” won the best paper award in the National conference on Recent Advances in Computer Engineering and Information Technology (RACEIT’16).

Ms. SREEJA S R

Employee Code / ID No. 10221046
Qualifications Mtech (Pursuing PhD)
Orcid ID —–
Industry / R & D Experience 2 years
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. 307
Areas of Interest / Current Research Computational Neuroscience and Artificial Intelligence
Research,  Consultancy, Publication
  • ”High Performance Resource Provisioning in Cloud Computing”, National Conference on Advanced Computing and Communications,NCACC-2013.
  • ” Speech Emotion Recognition using Machine Learning Techniques”, Proceedings  of CIS 2020 volume1,Springer-Advances in Intelligent Systems and Computing.
  • ”A Transfer Learning Approach for predicting Alzheimer’s Disease”, Proceedings of the 4th Biennial International Conference on Nascent Technologies in Engineering(ICNTE-2021),IEEE.
  • ”Prediction of Parkinson’s Disease from Voice signals using Machine Learning”, International Journal of Engineering.”A study on Modeling the Dopaminergic Pathways of Parkinson’s Disease”,Scopus indexed AIP conference Proceedings.
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, 2nd International Conference on Innovative Research in Engineering & Technology(ICIRET),Vietnam

Ms. Lino Zachariah

Employee Code / ID No. 10222049
Qualifications M-Tech
Orcid ID —-
Industry / R & D Experience —-
Email ID [email protected]
Alternate E-mail ID [email protected]
Mobile No (Optional) / Intercom Extension No. —-
Areas of Interest / Current Research Learning Image & Video Processing, Computer Vision, Deep Learning
Research,  Consultancy, Publication
  • Lino Zachariah, Dr. K Maharajan,”Review on Vision based Human Motion Detection using Deep Learning” , International Conference on Smart Electronics & Communication 2023.
  • Published paper in IJERA volume 2, issue 6 December 2012 under the title Analysis and Comparison of ECC and ECIES using IBE for securing patient’s privacy.
Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) —-
Academic / Professional Outreach Activities Conducted training on Microsoft Powerpoint for law students of Mar Gregorios College Of Law, Trivandrum, June 2023.
Membership in Professional bodies/ organizations IEEE-CS
Community Outreach Activities —-
Awards / Distinctions / Rank / Other Achievements if any —-