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    This post was last updated on       August 19th, 2025

Mrs. Aashitha L Shamma


Designation: Assistant Professor

Area of specialization: Computer Science & Engineering

Date of Joining BNMIT: 02 July 2025

Nature of Association (Regular/Contractual/Adjunct): Regular

E-mail Id: aashithalshamma@bnmit.in

No. of years of Experience: 11 Years

Qualification:

DegreeInstitutionMonth & Year of PassingPercentage of marks
PhD (CSE)Pursuing PhD under Amrita Vishwa Vidyapeetham, Bengaluru Campus2022-presentCourse work with CGPA of 9.02
M.Tech (CSE)Completed from M S University,

Tirunelveli, Tamil Nadu

July 201278
B.Tech (CSE)Completed from Govt College of Engineering, Painavu, KeralaJuly 200867

Experience:

SI. No.DesignationInstitutionDuration
1Assistant ProfessorB.N.M Institute of Technology, Department of CSE, Bengaluru, India.July 2025- till Date
2Research AssistantAmrita Vishwa Vidyapeetham (Bengaluru Campus)Oct 2022 – Sep 2023
3Assistant ProfessorB.N.M Institute of Technology, Department of CSE, Bengaluru, India.Sept 2021 – Sep 2022
4Assistant ProfessorK R Gouriamma College of Engineering, Alappuzha, KeralaAug 2012 – Sep 2020
5LecturerK R Gouriamma College of Engineering, Alappuzha, KeralaAug 2009 – Aug 2010

Responsibilities:

UNIVERSITY-LEVEL RESPONSIBILITIES:
  • Academic Counsellor for Indira Gandhi National Open University (IGNOU) at Sacred Hearts College (CODE – 1402), Thevara, Kochi, Kerala
  • UG Practical Examiner for affiliated University assessments
  • Served as Observer at University exam centres for monitoring and supervision duties
  • Evaluator at TKM (Kerala University), CV camp Chengannur(APJ KTU), and CAPE Pallipuram (APJ KTU), Kerala
DEPARTMENT LEVEL:
  • Academic Counsellor (KRGCE & BNMIT)
  • Member of Examination Cell (KRGCE & BNMIT)
  • Committee member: Time Table, Magazine, Arts & Sports (KRGCE)
  • Convener, Women’s Cell (KRGCE)
  • Staff & Student Coordinator, CODES (CS Association, KRGCE)
  • Project Guide – UG (KRGCE & BNMIT)
  • Department Coordinator, Internal Auditing Cell (KTU Audit, KRGCE)
  • NBA Accreditation Committee (Criteria 4) Member ( BNMIT)

Awards and Achievements:

  • Received Assistantship Award: Granted a Ph.D. assistantship by Amrita Vishwa Vidyapeetham for the period from October 2022 to September 2023, subject to satisfactory academic progress as evaluated through biannual reviews.
  • Topper in NPTEL Pedagogy Exam 2019

Expertise / list of Subjects handled:

  • Programming in C, Java, Object Oriented Programming with C++, Computer Networks, Computer Organization, Computer System Architecture, Automata theory, Natural Language Processing, Compiler Design, Computer Graphics, Data Structures with C, System Programming, Analysis and Design of Algorithms, Computer Hardware Design, Engineering Graphics, Software Engineering, Graph Theory.Labs handled: System programming lab, C lab, DBD lab, Java lab, Python lab, Free and Open- Source Software lab (shell programming), Data Structure Lab, Natural Language Processing Lab.

Research Interest:

  • Deep Learning for Acoustic Health Diagnostics
  • Large Language Models and Natural Language Understanding
  • Symbolic and Neural Hybrid Models using Automata Theory for Pattern Recognition
  • Automata-based Modeling of Sequential Health Signals and Language Representations

Publications:

Journal Publications :

  • Shamma, Aashitha L., et al. “The Manoeuvring of ERP in Education”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 10 Issue VII July 2022
  • Shamma, Aashitha L., et al. “Development of a non-invasive Covid-19 detection framework using explainable AI and data augmentation.” Journal of Intelligent & Fuzzy Systems (2024): JIFS-219387
  • Shamma, Aashitha L., et al.  “A Non-Invasive Interpretable Deep Learning Framework for Multi-Class Pulmonary Disease Classification Using Respiratory Acoustics”, submitted on June 2025 to International Journal of Speech Technology (Springer) – status: under review.

Conference Proceedings:

  • Shamma, Aashitha L., “An Effective Image Retrieval Watermarking Technique for the Copyright of Digital Images and Digital Image Protection,” AIP Conference Proceedings, Vol. 2690, No. 1, AIP Publishing, March 2023
  • Shamma, Aashitha L., et al.  “Interpretable COVID-19 Diagnosis from Coswara data Using Hybrid Feature Selection and Deep Neural Networks” in International IEEE Conference On Computing, Communication And Networking Technologies (ICCCNT) , Accepted on June 2025
International :

Nil

Patents:

 

 ParticipationinTrainingcourses/Seminars/Workshops:

  • Workshop on open-source software, organized by Department of Computer Science and Engineering, Viswajyothi College, Vazhakulam – 19th and 20th of December 2016
  • Faculty Development Programme organized by International Center for Free and Open-Source Software (ICFOSS) – 23rd to 25th and 27th January 2017
  • Faculty Development Programme for student induction programme for AICTE Institutions, organized by Rajagiri School and Technology – 8th to 10th of June 2018
  • NPTEL online certification as topper in the course of Outcome based pedagogic principles of effective teaching – August 2018
  • AICTE approved Faculty Development Programme on Foundation Program in ICT for Education – 18th October 2018
  • Certified for the presentation of paper in Conference on Recent Innovation in Engineering and Technology – 24th October 2018
  • Participated and presented a paper titled “An Effective Image Retrieval Watermarking Technique for the Copyright of the Digital Images and Digital Image Protection”, in CRIMPSET 2K18 conference at KR Gouri Amma College of Engineering – 24th October 2018
  • NPTEL online certification for the successful completion of the course Data Base Management System – February 2019
  • Faculty Development Programme on BLOCKCHAIN, jointly organized by Kerala State Centre for Advanced Printing and Training (C-APT) and Adi Shankara Institute of Engineering and Technology, sponsored by AICTE – 9th to 13th December 2019
  • AICTE approved Faculty Development Programme on Data Science organized by CUSAT – March 2020
  • Attended Faculty Development Workshop on Innovative Teaching-Learning Methodologies, organized by Teaching-Learning Centre, BNM Institute of Technology – 17th to 29th September 2021
  • Successfully completed the Neural Networks and Deep Learning course by Andrew Ng on Coursera – as part of Ph.D. coursework (2022)
  • Completed Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization on Coursera – under Ph.D. specialization in Deep Learning (2022)
  • Certified in Structuring Machine Learning Projects on Coursera, enhancing model design and experimentation for research (2022)
  • Completed the Convolutional Neural Networks course on Coursera, as part of deep learning model development training (2022)
  • Earned certification in Sequence Models on Coursera, covering RNNs, LSTMs, and attention – aligned with Ph.D. research in temporal data (2022)
  • Successfully completed Digital Signal Processing on Coursera, supporting Ph.D. work in audio and biomedical signal modeling (2023)
  • Completed Digital Speech Processing on Udemy, relevant to Ph.D. audio preprocessing and feature extraction studies (2023)
  • Participated in the National Symposium on Developmental Disabilities organized by Centre for Healthcare Engineering and Learning (cHEAL), PES University in association with ASHA – 10th and 11th January 2025