N.Sheerin Sitara

Teaching

Educational Background

Work Experience

Research Experiences

Lecture Courses

• Object Oriented Programming
• Big Data and IoT

Research

Areas of Research Interest

• Medical Image Processing
• Natural Language Processing
• Machine Learning
• Data Structure

Publications

International Journals

• Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “A Comprehensive interpretation for medical VQA: Datasets, techniques and challenges”, Journal of Intelligent and Fuzzy Systems, Vol. 44, No. 4, pp 5803 – 5819, 2023, ISSN: 1064 – 1246 (SCI). Impact Factor: 1.95
• Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “Improvisation of Dataset Efficiency in Visual Question Answering Domain”, Statistics and Applications, Vol. 20, No. 2, pp. 279 – 289, 2022, ISSN: 2454 – 7395, (WoS).  Impact Factor: 1.21
• Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “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, ISSN: 1007 – 6735, (Scopus). Impact Factor: 0.20 Citations: 1
• Poornima S, Kavitha S, Sheerin Sitara N and Balaprasanna A S, “Hybrid Fusion based Learning Model for Biometric Authentication”, Caribbean Journal of Science, Vol. 53, No. 1, pp. 606 – 613, 2019, ISSN: 0008 – 6452, (SCI).  Impact Factor: 0.80
• Sheerin Sitara N, Kavitha S and Raghuraman G, “Review and Analysis of Crack Detection and Classification techniques based on Crack Types” International Journal of Applied Engineering Research, Vol. 13, No. 8, pp. 6056-6062, 2018, ISSN: 0973 – 4562, Citations: 35, Impact Factor: 1.30

International Conferences / Workshops

• Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “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. CLEF2022 Working Notes, Springer.
• Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “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. CLEF2021 Working Notes, Springer, Citations: 5
• Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “ImageCLEF 2020: An approach for Visual Question Answering using VGG –LSTM for different datasets”. In: CEUR Workshop Proceedings, Greece, 2020. CLEF2020 Working Notes, Springer, Citations: 5
• 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. Citations: 3
• Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “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. Citations: 3

Review of International Journal and Conference Papers

• Reviewer for the Journal of Intelligent and Fuzzy Systems (Web of Science, Scopus Indexed, Quartile – Q2, IF – 1.73)
  
  • Reviewed the manuscript, “JIFS – 230224, An Integration of Fuzzy System for Predicting and Categorizing Alzheimer Disease with CNN”.
• Selected as a Reviewer for International Journal of Management and Fuzzy systems.
• Reviewer for 17th International Workshops on SemEval 2023 (Yearly conducting 15 international level competition since 1998)
  
  • Reviewed the paper, “PaperID – 197, MDC at SemEval 2023 Task 7: Fine-tuning Transformers for Textual Entailment Prediction and Evidence Retrieval in Clinical Trials” in 17th International Workshop on Semantic Evaluation.

Extension

Achievement

• Won Best paper award and appreciation in the 8th Research Scholar Colloquium on Quantum Computing held at SSN College of Engineering on 14th March 2023.
• Qualified the UGC NET exam for the appointment of Assistant Professor in Computer Science and Engineering department conducted on 11th November 2020.

Paper Presentations

• Presented the paper titled “Category based Medical Visual Question Generation using Deep Learning Techniques” on 14th March 2023 in 8th Research Scholar Colloquium on Quantum Computing held in SSN College of Engineering, Chennai.
• Presented the paper titled “An approach for VQA to Solve Abnormality reated Queries using Improved Datasets” on 7th September 2022 in SSN Doctoral Day held in SSN College of Engineering, Chennai.
• Presented the paper titled “Classification of Lung Tuberculosis using Non Parametric and Deep Neural Network Techniques” on 28th September 2020 in IEEE International Conference on Computer, Communication and Signal Processing, held in SSN College of Engineering, Chennai.
• Presented the paper titled “Comparative Analysis of Deep Neural Networks for Crack Image Classification” on 12th September 2019 in Third International Conference on Intelligent Data Communication Technologies and Internet of Things held in JCT College of Engineering, Coimbatore.
• Presented the paper titled “Integration of Evolutionary Concept (JFA) and Semantic Approach for Optimal Search Result” on 20th March 2015 in Second International Conference on Emerging Trends in Powering the Nation held in Sri Krishna College of Engineering and Technology, Coimbatore.

Faculty Development Program/ Workshop details

• Been a part of three days FDP on “Artificial Intelligence and Machine Learning in Biomedical Engineering” organized by SSN College of Engineering, Chennai from 16th to 18th Nov 22.
• Attended a workshop on “Data Analytics with NLP for Healthcare Applications” from 8th Feb to 12th Feb 21 at Mepco Schlenk Engineering College.
• Taken part in Ten days FDP on “Strategies on Writing Research Paper’ from 14th Aug 20 to 24th Aug 20 in SSN College of Engineering, Kalavakkam.
• Attended a workshop on “Art of Writing Thesis” organized by SSN College of Engineering, Chennai on 06 Dec 19.