Dept of Computer Science - Faculty Details
Faculty Name Dr.Sreela S R Email
sreela148@gmail.com
Designation
Assistant Professor
Experience Details
Govt.Service: 2 Years 10 months, Industry and Research: 9 Years, Teaching(Contract): 1Year 8 Months
Qualifications
Ph.D Computer Science, M.Tech Computer and Information Science
Areas of Interest
Computer Vision, Machine Learning, Deep learning, Security, Algorithm
Field of Research
Computer Vision
Guideship Details
Subjects Handled
Introduction to Information Technology, Microprocessor ,
PHP and MySQL,Internet of Things,Software Engineering, Computer Fundamentals and Programming in C
Academic Responsibilities Undertaken
1. Member, Board of Studies Computer Science(UG), University of Kerala.
2. Question paper setter, Kannur University
Duties Performed
1. Documentation Committee Convenor, NAAC
Research Projects Undertaken
1. CerviSCAN:An automatic screening software for cervical cancer( CDAC Thiruvananthapuram)
2. Traffic Gesture Recognition (Navajna Technologies,Hyderabad)
Description: It is a challenging problem in Computer Vision. Gestures can be originate from body motion.
3. Traffic sign detection(Navajana Technologies)
Description: Road sign recognition plays an important role in driver assistant systems and intelligent autonomous vehicles. The proposed system approach is robust enough to detect and the recognize road signs.
3. Face Recognition and Expression Analysis(Navajna)
Description: Facial expression technology can be used to deliver a greater level of insight into behavior patterns. Expression classification and face recognition have received substantial attention in Computer Vision and Pattern Recognition with more recent efforts focusing on understanding and modelling expression variations.
4. Heart rate Extraction from carotid artery in a neck video(Navajna)
Description: This project aims to implement heart rate extraction from neck video of a person.
Research Publications
Journals
1. “A Systematic Survey of Automatic Image Description Generation Systems”, International Journal of Image and Graphics (2024): 2450029. (Emerging Source Citation Indexed, Scopus Indexed)
2. "MODCN: Fine-Tuned Deep Convolutional Neural Network with GAN Deployed to Forecast Diabetic Eye Damage in Fundus Retinal Images." International Journal of Image and Graphics (2023): 2450029. (Emerging Source Citation Indexed, Scopus Indexed)
3 “Dense Model for Automatic Image Description Generation with Game Theoretic Optimization”, Information(MDPI), Volume: 10,2019.
4 “Action Recognition in Still Images using Residual Neural Network Features”, Procedia computer science, Elsevier, Volume: 143, Pages: 563-569,2018
5 "Keyword Driven Image Description Generation System", Advances in science, technology and engineering systems journal, ASTES, Volume 5, Issue 4, Page No 405-411, 2020.
6 "The Significance of self-attention over LSTM in image captioning", International Journal of Applied Engineering Research, RIP, Vol.14, No.16, 2019.
7 “Secret Image Sharing Based Cheque Truncation System with Cheating Detection”, International Journal of Information processing, volume 8, issue 4
International Conferences
1 AIDGenS: An Automatic Image Description System Using Residual Neural Network, 2018 International Conference on Data Science and Engineering (ICDSE), IEEE
2 Modified Densely Connected Convolutional Network for Content Generation in Automatic Image Description Generation System, IEEE Region 10 Symposium (TENSYMP), 14-16 July 2017
3 Establishing Security in Cheque Truncation System using Secret Image Sharing, Eighth International
Conference of Communication Networks held at Bangalore, July 2014, Elsiver publications pp 231-239
Books Published
Paper Presentations
“AIDGenS: An Automatic Image Description System Using Residual Neural Network”, 13th Inter-Research-Institute Student Seminar in Computer Science, 2019 (IRISS 2019).
Seminars / Workshops Organized
1. Resource person, APJ Abdul Kalam Technological University sponsored Five Day FDP on “Medical Image Analysis using Deep Learning Techniques”
2. Programme Convenor, Seminar on Introduction To Natural Language Processing organized by FOSS Cell, Department of Computer Science In collaboration with ICFOSS
3. Programme Convenor, Seminar on Application of FOSS in industry organized by FOSS Cell, Department of Computer Science In collaboration with ICFOSS
4. Programme Committee Member, Seminar on Ethical Hacking in industry organized by FOSS Cell, Department of Computer Science In collaboration with ICFOSS
5. Program Coordinator, FDP on Learning Management System and Outcome Design organized by IQAC Government college Kariavattom 14-September-2021 to 20 September 2021
6. Resource Person, Webinar on Introduction to Machine Learning (An initiative of TechSaksham Ambassador programme) on 21-01-2022 at Government college, Kariavattom
Seminars Attended
Participated in Sasthrayaan 2017 and 2018 held on 27 and 28 February in CUSAT
Workshops Attended
1 “Data analytics using MATLAB” by Matworks at ICDSE 2018
2 “Build Voice-Enabled Experiences with Alexa” at ICDSE 2018
3 A five day training program on “Deep Learning for Computer Vision” at Muthoot Institute of Technology on 9-13 January 2018
4 Hands-on workshop “Deep Learning- A Deep Drive: From Basics to Advanced” organized by the Department of Electronics, CUSAT on 8th December 2017
5 One day workshop on “Deep Learning” conducted by NVIDIA Deep Learning Institute at Department of Electronics, CUSAT on 12th October 2017
6 one day workshop on “Gaining Useful Insights from Data” using Matlab conducted by Matworks at Department of Computer Science, CUSAT
Refresher Courses Attended
1. Two week Refresher course in Computer Science, 13/03/2023 TO 27/03/2023, Ramanujan College, Delhi, PMMMNMTT scheme in collaboration with Ramanujan college
2 UGC Approved Short Term Professional Development Programme, 13-04-2023 To
21-04-2023, Indira Gandhi National Open University Under Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching
Orientation Programmes Attended
1. One Month Induction Programme, Duration:30 Days , 28/02/2022 TO 29/03/2022, UGC-HRDC, University of Kerala
2. Four days Faculty Development Programme on Machine learning (Techsaksham) 27-12-2021 To
30-12-2021, ASAP KERALA, SAP India, Edunet and ASAP Kerala
3. One day Online Orientation programme for the development of self instructional materials 18-12-2021 Sree Narayanaguru Open University.
4. Faculty Development Programme on Cloud
Computing, 20-04-2022 To 22-04-2022, ASAP KERALA, SAP India, Edunet and ASAP Kerala.
Awards / Honours / Patents Conferred
Membership (s) in
ACM Cochin Chapter
Assigned Office Charges
IT Cell,Website
Countries Visited
India
| Faculty Name | Dr.Sreela S R |
| sreela148@gmail.com | |
| Designation | Assistant Professor |
| Experience Details | Govt.Service: 2 Years 10 months, Industry and Research: 9 Years, Teaching(Contract): 1Year 8 Months |
| Qualifications | Ph.D Computer Science, M.Tech Computer and Information Science |
| Areas of Interest | Computer Vision, Machine Learning, Deep learning, Security, Algorithm |
| Field of Research | Computer Vision |
| Guideship Details | |
| Subjects Handled | Introduction to Information Technology, Microprocessor , PHP and MySQL,Internet of Things,Software Engineering, Computer Fundamentals and Programming in C |
| Academic Responsibilities Undertaken | 1. Member, Board of Studies Computer Science(UG), University of Kerala. 2. Question paper setter, Kannur University |
| Duties Performed | 1. Documentation Committee Convenor, NAAC |
| Research Projects Undertaken | 1. CerviSCAN:An automatic screening software for cervical cancer( CDAC Thiruvananthapuram) 2. Traffic Gesture Recognition (Navajna Technologies,Hyderabad) Description: It is a challenging problem in Computer Vision. Gestures can be originate from body motion. 3. Traffic sign detection(Navajana Technologies) Description: Road sign recognition plays an important role in driver assistant systems and intelligent autonomous vehicles. The proposed system approach is robust enough to detect and the recognize road signs. 3. Face Recognition and Expression Analysis(Navajna) Description: Facial expression technology can be used to deliver a greater level of insight into behavior patterns. Expression classification and face recognition have received substantial attention in Computer Vision and Pattern Recognition with more recent efforts focusing on understanding and modelling expression variations. 4. Heart rate Extraction from carotid artery in a neck video(Navajna) Description: This project aims to implement heart rate extraction from neck video of a person. |
| Research Publications | Journals 1. “A Systematic Survey of Automatic Image Description Generation Systems”, International Journal of Image and Graphics (2024): 2450029. (Emerging Source Citation Indexed, Scopus Indexed) 2. "MODCN: Fine-Tuned Deep Convolutional Neural Network with GAN Deployed to Forecast Diabetic Eye Damage in Fundus Retinal Images." International Journal of Image and Graphics (2023): 2450029. (Emerging Source Citation Indexed, Scopus Indexed) 3 “Dense Model for Automatic Image Description Generation with Game Theoretic Optimization”, Information(MDPI), Volume: 10,2019. 4 “Action Recognition in Still Images using Residual Neural Network Features”, Procedia computer science, Elsevier, Volume: 143, Pages: 563-569,2018 5 "Keyword Driven Image Description Generation System", Advances in science, technology and engineering systems journal, ASTES, Volume 5, Issue 4, Page No 405-411, 2020. 6 "The Significance of self-attention over LSTM in image captioning", International Journal of Applied Engineering Research, RIP, Vol.14, No.16, 2019. 7 “Secret Image Sharing Based Cheque Truncation System with Cheating Detection”, International Journal of Information processing, volume 8, issue 4 International Conferences 1 AIDGenS: An Automatic Image Description System Using Residual Neural Network, 2018 International Conference on Data Science and Engineering (ICDSE), IEEE 2 Modified Densely Connected Convolutional Network for Content Generation in Automatic Image Description Generation System, IEEE Region 10 Symposium (TENSYMP), 14-16 July 2017 3 Establishing Security in Cheque Truncation System using Secret Image Sharing, Eighth International Conference of Communication Networks held at Bangalore, July 2014, Elsiver publications pp 231-239 |
| Books Published | |
| Paper Presentations | “AIDGenS: An Automatic Image Description System Using Residual Neural Network”, 13th Inter-Research-Institute Student Seminar in Computer Science, 2019 (IRISS 2019). |
| Seminars / Workshops Organized | 1. Resource person, APJ Abdul Kalam Technological University sponsored Five Day FDP on “Medical Image Analysis using Deep Learning Techniques” 2. Programme Convenor, Seminar on Introduction To Natural Language Processing organized by FOSS Cell, Department of Computer Science In collaboration with ICFOSS 3. Programme Convenor, Seminar on Application of FOSS in industry organized by FOSS Cell, Department of Computer Science In collaboration with ICFOSS 4. Programme Committee Member, Seminar on Ethical Hacking in industry organized by FOSS Cell, Department of Computer Science In collaboration with ICFOSS 5. Program Coordinator, FDP on Learning Management System and Outcome Design organized by IQAC Government college Kariavattom 14-September-2021 to 20 September 2021 6. Resource Person, Webinar on Introduction to Machine Learning (An initiative of TechSaksham Ambassador programme) on 21-01-2022 at Government college, Kariavattom |
| Seminars Attended | Participated in Sasthrayaan 2017 and 2018 held on 27 and 28 February in CUSAT |
| Workshops Attended | 1 “Data analytics using MATLAB” by Matworks at ICDSE 2018 2 “Build Voice-Enabled Experiences with Alexa” at ICDSE 2018 3 A five day training program on “Deep Learning for Computer Vision” at Muthoot Institute of Technology on 9-13 January 2018 4 Hands-on workshop “Deep Learning- A Deep Drive: From Basics to Advanced” organized by the Department of Electronics, CUSAT on 8th December 2017 5 One day workshop on “Deep Learning” conducted by NVIDIA Deep Learning Institute at Department of Electronics, CUSAT on 12th October 2017 6 one day workshop on “Gaining Useful Insights from Data” using Matlab conducted by Matworks at Department of Computer Science, CUSAT |
| Refresher Courses Attended | 1. Two week Refresher course in Computer Science, 13/03/2023 TO 27/03/2023, Ramanujan College, Delhi, PMMMNMTT scheme in collaboration with Ramanujan college 2 UGC Approved Short Term Professional Development Programme, 13-04-2023 To 21-04-2023, Indira Gandhi National Open University Under Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching |
| Orientation Programmes Attended | 1. One Month Induction Programme, Duration:30 Days , 28/02/2022 TO 29/03/2022, UGC-HRDC, University of Kerala 2. Four days Faculty Development Programme on Machine learning (Techsaksham) 27-12-2021 To 30-12-2021, ASAP KERALA, SAP India, Edunet and ASAP Kerala 3. One day Online Orientation programme for the development of self instructional materials 18-12-2021 Sree Narayanaguru Open University. 4. Faculty Development Programme on Cloud Computing, 20-04-2022 To 22-04-2022, ASAP KERALA, SAP India, Edunet and ASAP Kerala. |
| Awards / Honours / Patents Conferred | |
| Membership (s) in | ACM Cochin Chapter |
| Assigned Office Charges | IT Cell,Website |
| Countries Visited | India |