Faculty

Dr. N. Sheerin Sitara

 nsscse@tce.edu

15

PUBLICATIONS       

17

SEMINAR, CONFERENCE, WORKSHOP ATTENDED

 Educational Qualification

DEGREE BRANCH INSTITUTE YEAR
B. Tech. Information Technology Sri Krishna College of Engineering and Technology, Coimbatore 2016
M.E. Computer Science and Engineering SSN College of Engineering, Chennai 2018
Ph.D Medical Image Processing Anna University 2025

 Experience

PERIOD NO OF YEARS DESIGNATION INSTITUTION
02-01-2020 to 02-01-2023 3 Junior Research Fellow SSN College of Engineering, Chennai
08-02-2019 to 07-08-2019 0.5 Research Assistant SSN College of Engineering, Chennai
03-03-2025 to Till date 0.5 Assistant Professor Thiagarajar College of Engineering

 Publications

 Journals
  1. Sheerin Sitara, N & Kavitha, S, "Semantic based medical visual question answering with explainable artificial intelligence",IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 14, No3, pp.2167-2175, 2025, DOI: http://doi.org/10.11591/ijai.v14.i3.pp2169-2177 (Scopus, WoS, Q2, Impact factor: 2.16)
  2. Sheerin Sitara, N & Kavitha, S, "A comprehensive interpretation for medical VQA: Datasets, techniques, and challenges", Journal of Intelligent & Fuzzy Sytems, Vol. 44, No. 4, 2023, DOI: https://doi.org/10.3233/JIFS-2225 (SCI, Q2, Impact factor: 2.0)
  3. Poornima S, Kavitha S, Sheerin Sitara N and Balaprasanna A S, “Hybrid Fusion based Learning Model for Biometric Authentication”, In: Caribbean Journal of Science, Vol. 53, No. 1, pp. 606 – 613, 2019. (SCI, Q4, Impact factor: 0.80)
  4. Sheerin Sitara N, Kavitha S and Raghuraman G, “Review and Analysis of Crack Detection and Classification techniques based on Crack Types” in International Journal of Applied Engineering Research, Vol. 13, No. 8, pp. 6056-6062, 2018, DOI: 10.37622/ijaer/13.8.2018.6056-6062 (Impact factor: 1.30) (Citation: 62)
  5. Sheerin Sitara N and Kavitha S, “A Hybrid Image Enhancement Algorithm for Effective Concrete Surface Crack Classification”, In: Journal of University of Shanghai for Science and Technology, Vol. 23, No. 9, 2021, DOI: 10.51201/jusst/21/09659 . (Scopus, Q4, Impact factor: 0.20) (Citation: 2)
 Conferences
  1. Ramya D, Sheerin Sitara N and Kavitha S, “SSNMLRGKSR at ImageCLEFmedical Caption 2024: Medical Concept Detection using DenseNet-12 with MultiLabelBinarizer”, In: CLEF2024 Working Notes, CEUR Workshop Proceedings, France, 2024 (ISBN: 978-3-031-71907-3). Springer (Scopus). (Citation: 1)
  2. Sheerin Sitara N and Kavitha S, “SSNMLRG at MEDIQA-SUM 2023: Automatic text summarization using Support Vector Machine and Roberta”, In CLEF2023 Working Notes, CEUR Workshop Proceedings, Greece, 2023 (ISBN: 978-3-031-42448-9). CLEF2023 Working Notes, Springer (Scopus). (Citation: 2)
  3. Sheerin Sitara N, Kavitha S and Raghuraman G, “SSNMLRG at MEDVQA-GI 2023: Visual Question Generation and Answering using Transformer based Pre-trained Models”, In: CLEF2023 Working Notes, CEUR Workshop Proceedings, Greece, 2023 (ISBN: 978-3-031-42448-9), Springer (Scopus). (Citation: 1)
  4. Sheerin Sitara N and Kavitha S, “SSNSheerinKavitha at SemEval-2023 Task 7: Semantic Rule Based Label Prediction Using TF-IDF and BM25 Techniques”, In: Proceedings of the 17th International Workshop on Semantic Evaluation, Canada, 2023 (ISBN: 978-1-959429-99-9). Springer, DOI: 10.18653/v1/2023.semeval-1.131 (Scopus). (Citation: 1)
  5. Sheerin Sitara N and Kavitha S, “SSNMLRG at ImageCLEFmedical Caption 2023: Automatic Concept Detection and Caption Prediction using ConceptNet and Vision Transformer”, In CLEF2023 Working Notes, CEUR Workshop Proceedings, Greece, 2023 (ISBN: 978-3-031-42448-9). CLEF2023 Working Notes, Springer (Scopus). (Citation: 5)
  6. Sheerin Sitara N and Kavitha S, “SSN MLRG at ImageCLEF 2022: Medical Concept Detection and Caption Prediction using Transfer Learning and Transformer based Learning Approaches”, In: CEUR Workshop Proceedings, Italy, 2022 (ISBN: 978-3-031-13642-9). CLEF2022 Working Notes, Springer (Scopus). (Citation: 3)
  7. Sheerin Sitara N and Kavitha S, “ImageCLEF 2020: An approach for Visual Question Answering using VGG –LSTM for different datasets”. In: CEUR Workshop Proceedings, Greece, 2020 (ISBN: 978-3-030-58218-0). CLEF2020 Working Notes, Springer (Scopus). (Citation: 8)
  8. Sheerin Sitara N and Kavitha S, “SSN MLRG at VQA-MED 2021: An Approach for VQA to Solve Abnormality Related Queries using Improved Datasets”, In: CEUR Workshop Proceedings, Bucharest, Romania, 2021 (ISBN: 978-3-030-85250-4). CLEF2021 Working Notes, Springer (Scopus). (Citation: 13)
  9. Poornima S, Kavitha S, Sheerin Sitara N and Sarada Devi A, “Classification of Lung Tuberculosis using Non Parametric and Deep Neural Network Techniques”, In: IEEE International Conference on Computer, Communication and Signal Processing (ICCCSP) Conference proceedings, 2020 (ISBN: 978-1-728-14989-9), DOI: 10.1109/icccsp49186.2020.9315211 (Citation: 5)
 Books
  1. Sheerin Sitara N and Kavitha S, “Comparative Analysis of Deep Neural Networks for Crack Image Classification”, In: Intelligent Data Communication Technologies and Internet of Things, 2019. Lecture Notes on Data Engineering and Communications Technologies, Volume 38. Springer (Scopus). DOI: 10.1007/978-3-030-34080-3_49 (Citation: 4)

 Seminar, Conference, Workshop Attended

  1. One Week Online FDP on "Cloud Enabled Deep Learning with Enhanced Security Protocols" at RGM College of Engineering and Technology, Andhra Pradesh., 23-06-2025 to 27-06-2025
  2. A 40 hours Online FDP on "AI/ML Techniques for Medical Iage and Signal Analysis: A Research Oriented Approach" sponsored by Ministry of Electronics and Information Technology (Govt. of India), organized by E & ICT Academy, NIT Warangal., 18-06-2025 to 28-06-2025
  3. One-week Faculty Development Programme on "Cloud Practitioner (AWS)" conducted by ICT Academy at Thiagarajar College of Engineering, MAdurai., 05-05-2025 to 09-05-2025
  4. Completed 1)Introduction to Python,2)Programming Fundamentals using Python - Part 1 and Part 2 in Infosys Spring Board., 15-04-2025 to 16-04-2025
  5. Faculty Conclave 2025 on "Sharing of Best Practices in Teaching-Learning" at Thiagarajar College of Engineering, Madurai , 09-04-2025 to 09-04-2025
  6. WiSSCoN 2023 sponsored webinar on “Machine Learning for Building Intelligent Systems” at SSN College of Engineering, Chennai., 15-03-2023 to 15-03-2023
  7. One-week Faculty Development Programme on “Scope of Quality Research for Funded Projects and High Impact Publications” at KCG College of Technology, Chennai., 24-02-2023 to 28-02-2023
  8. Two days National Level Workshop on “Role of Machine Learning and Deep Learning in Cyber Security” at SSN College of Engineering, Chennai., 27-11-2020 to 28-11-2020
  9. One-week Faculty Development Programme on “Strategies on Writing Research Paper” at Department of Chemical Engineering, SSN College of Engineering., 14-10-2020 to 24-10-2020
  10. DST-SERB Sponsored Workshop on “Deep Learning for Health Care” at Department of Computer Science and Engineering, SSN College of Engineering, Chennai., 09-10-2020 to 09-10-2020
  11. Workshop on “Art of Writing Thesis” at Department of Chemical Engineering, SSN College of Engineering, Chennai., 06-12-2019 to 06-12-2019
  12. International level Research Scholars’ Colloquium (ACM) at Department of Information Technology, SSN College of Engineering, Chennai., 21-08-2019 to 21-08-2019
  13. National level tutorial (ACM Women Chapter) on “Scalable Deep Learning based Recommender Systems using Tensorflow” at Department of Computer Science and Engineering, SSN College of Engineering, Chennai., 11-09-2017 to 11-09-2017
  14. Two days’ workshop on “Machine Learning in Intelligence Image Processing” at SSN College of Engineering, Chennai., 30-09-2016 to 01-10-2016
  15. Workshop on “Mobile Application Development - Android” at Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore., 25-03-2015 to 25-03-2015
  16. Two days workshop on “NS-2 Simulator” at Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore., 26-09-2014 to 27-09-2014
  17. Attended “Java Programming Language Java SE 6” at Sri Krishna I-Tech and Management Solutions Private Limited (Part of Oracle’s Workforce Development Program), 31-07-14. , 31-07-2014 to 31-07-2014

 Lectures Delivered

TOPIC DELIVERED AT PERIOD
AI: Innovation Beyond Vision Thiagarajar College of Engineering, Maduarai 18-04-2025 to 18-04-2025
Open AI and XAI Tool” in the virtual FDP titled “Recent research trends in computing technologies Dr.M.G.R Educational and Research Institute, Chennai 28-11-2022 to 28-11-2022
Given a demo along with Dr. S. Kavitha (Supervisor) on “Image Captioning” in the virtual FDP titled “Artificial Intelligence – The Road Map to Future FDP Programme” Sathyabama Institute of Science and Technology, Chennai 08-03-2022 to 08-03-2022
“Visual Question Answering in Medical Domain” SSN College of Engineering 28-08-2021 to 28-08-2021

  Awards and Honours

  1. Received best oral presentation award in “SSN Doctoral Day” in 14th November 2023., SSN College of Engineering, Chennai
  2. Received best paper award in 8th Research Scholar’s Colloquium on 14th March 2023 at SSN College of Engineering (on collaboration with IEEE MAS and ACM Chennai)., SSN College of Engineering,

 Membership

NAME OF SOCIETY DETAILS PERIOD
IEEE, Member

  Other Achievements

  1. Solved 10 Artificial Intelligence (AI) related real-time problems provided by ImageCLEF, AICrowd and SemEVAL, and received international level ranks.
  2. Reviewer - Journal of Intelligent and Fuzzy Systems, IOS Press, SJR Q2, Indexed in SCIE, Impact Factor: 1.737
  3. Qualified the UGC National Eligibility Test (NET) exam held on 11th November 2020 for the appointment of assistant professor in the Computer Science and Engineering department.