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Staff

Dr RUban S

Associate Professor and HOD, Post Graduate Department of Software Technology

PhD (Computer Science), 2019, Bharathiar University; MHRM (Human Resource), 2008, Annamalai University; MBA (Information Technology & Management), 2007, Tamil Nadu Open University; M.Phil (Computer Science), 2004, Manonmaniam Sundaranar University; MSc (Computer Science), 2002, Bharathidhasan University

Research

Funded Research Projects:

  • Principal Investigator, “Setting Up Big Data Lab and Using Analytics to Identify and Manage High Risk and High Cost Patients in Nearby Hospitals”, GRD – 545, K-FIST(L2), VGST, Govt. of Karnataka, 2018-2021, 24 (Completed)
  • Co-Investigator, “Investigating the Food habits and changing trends of             Mogaveera Community   and its relevance over Health using Machine Learning Models”, UGC-STRIDE Scheme for Trans-Disciplinary Research for India’s Developing Economy, Grant-no. 2-20/2019(STRIDE-I). Total Allotted Amount 4 Lakhs. (Completed)
  • Principal Investigator, “Smartphone device for bilirubin estimate in Neonates “mBilimeter””, selected for Funding by DSTHUB MAHE, Total Allotted amount 30 Lakhs. (Awaiting Funding)

Collaborative Research Protocols:

  • Principal Investigator, “A predictive model based on pattern study for the diagnosis of malaria and dengue using machine learning and big data.”, with Father Muller Medical College Hospital, via protocol no: 126/19(FMMCIEC/CCM/149/2019) on 06.2019, Coinvestigator: Dr. Sanjeev Rai, Chief Research Officer, Father Muller Medical College.
  • Principal Investigator, “An Effective Model for detecting patterns of Diabetes Mellitus and hypertension among patients in RHTC Thumbay community using Big Data Analytics and machine Learning, via protocol no: 125/19(FMMCIEC/CCM/148/2019) on 06.2019, Coinvestigator: Dr. Sudhir Prabhu, Dr. Achal Shetty, Dept. of community medicine, Father Muller Medical College.
  • Principal Investigator, “Improvising Breast Cancer Detection on Mammography using AI based Deep Learning Techniques”, via protocol no: (FMMCIEC/CCM/2165/2021) on 06.2019, Coinvestigator: Dr. Ram Shenoy Basti, Dept. of Radiology and Imaging, Father Muller Medical College.
  • Principal Investigator, “Bilirubin estimation among the neonates using AI based Machine Learning”, via protocol no: (FMMCIEC/CCM/168/2022) on03.2022, Coinvestigator: Dr. Saritha Paul, Dr. Sanjeev Rai, Dept. of Pediatrics, Father Muller Medical College.
  • Principal Investigator, “Automatic Mandibular canal detection in CBCT using Deep Learning Algorithms”, via protocol no: (22005) on 20/12/2022, Coinvestigator Jefferson, Dr. Nanditha Sujir, Dr. Junaid Ahmed, Dr. Mohan, Manipal College of Dental Sciences, Mangalore.
  • Principal Investigator, “Exploring the factors for the Acceptance and Reluctance towards covid-19 Vaccine among the Urban and Rural population of Karnataka, Kerala and Taminadu”, via protocol no: 145/2022 on 21.03.2022, Coinvestigator Dr.Sanjeev Rai, Mr.Ashwin, Dr.Hilda shanthini, Dr.Rakesh Kumar.
  • Principal Investigator, “A survey on the Knowledge and awareness of Artificial Intelligence among the Medical Faculties and Students”, via protocol no: 195/2021 via Approval no : FMIEC/CCM/212/2021.

    Publications
    • Ruban, S., Naresh, A., Rai, S. (2023). An Ensemble Approach for Detecting Malaria Using Classification Algorithms. In: Shetty, N.R., Patnaik, L.M., Prasad, N.H. (eds) Emerging Research in Computing, Information, Communication and Applications. Lecture Notes in Electrical Engineering, vol 928. Springer, Singapore. https://doi.org/10.1007/978-981-19-5482-5_27. (Scopus Indexed)
    • Ruban, M. Moosa Jabeer and R. Shenoy Basti, “Improvising Breast Cancer detection using CNN, VGG and SSD Algorithms,” 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, 2022, pp. 1772-1776, doi: 10.1109/ICICICT54557.2022.9918009. (https://ieeexplore.ieee.org/document/9918009) (Scopus Indexed)
    • Ruban, S., Naresha, Rai, S. (2022). Detecting Dengue Disease Using Ensemble Classification Algorithms. In: Shukla, S., Gao, XZ., Kureethara, J.V., Mishra, D. (eds) Data Science and Security. Lecture Notes in Networks and Systems, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-19-2211-4_4. (Scopus Indexed)
    • Ruban, S., Jabeer, M.M., Besti, R.S. (2022). Detection of Breast Tumor in Mammograms Using Single Shot Detector Algorithm. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2022. Communications in Computer and Information Science, vol 1614. Springer, Cham. https://doi.org/10.1007/978-3-031-12641-3_30. (Scopus Indexed)
    • Ruban S, Sumitha Achar, Alwyn D’Sa (2022). An empirical investigation of changing food preferences among the mogaveera community in india. Manager- The British journal of Administrative management, Volume 58 Special Issue 01 April 2022. (ABDC Indexed)
    • Suresh R, Ruban S, Kumar S. TB care for women and Covid-A double health crisis in the offing? Health Care Women Int. 2020 Nov-Dec;41(11-12):1226-1239. doi: 10.1080/07399332.2020.1837135. PMID: 33616508. (Scopus Indexed)
    • Ruban, S and Rai, Sanjeev. “Enabling data to develop an AI-based application for detecting malaria and dengue”. Computational Intelligence and Predictive Analysis for Medical Science: A Pragmatic Approach, edited by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian and Saif Ahmad, Berlin, Boston: De Gruyter, Germany,2021, pp. 115-138. https://doi.org/10.1515/9783110715279-006. (Scopus Indexed)
    • Ruban S, Naresh A, Sanjeev Rai. “A Noninvasive Model to Detect Malaria Based on Symptoms Using Machine Learning”, Advances in Parallel Computing Technologies and Applications, IOS Press, Netherlands, 23-30, 2021. (Scopus Indexed)
    • Ruban S, Naresh A, Sanjeev Rai, “A Noninvasive model to detect Dengue based on symptoms using Artificial Intelligence and Machine Learning”, Lattice, The Machine Learning Journal, vol.2, Issue:1, 2021, pp.31-35.
    • Ruban S, Vivek, Krithi. (2020). Heart disease prediction using machine Learning Models. International Journal of Recent Technology and Engineering (IJRTE), Volume-8, Issue-5. (ISSN: 2277-3878). (Scopus Indexed)
    • Ruban S, Elreena, Valerie, Kavya. (2020). Non-Invasive Prediction Model to Detect Sepsis using Supervised Machine Learning Algorithms. International Journal of Recent Technology and Engineering (IJRTE). Volume-8, Issue-5. (ISSN: 2277-3878). (Scopus Indexed)
    • Ruban S, Behin Sam. (2017). An Algorithmic Query Refinement model based on Query classification. Indian Journal of Science and Technology, Vol 10(18). (ISSN 0974-5645). (Scopus Indexed)
    • Ruban S. (2015). An Experimental Analysis and Implementation of Ontology based Query Expansion. ARPN Journal of Engineering and Applied Sciences (ARPN-JEAS), VOL. 10, NO. 7. (ISSN : 1819-6608). (Scopus Indexed)
    • Ruban S. (2015). A comparative study and performance analysis of wordnet over transactional and informational quereis. International Journal of Applied Engineering Research, Vol. 10, No. 70. (ISSN 0973-4562) (Scopus Indexed)
    • S, Behin Sam, and Annapoorna Shetty. (2015). A Hybrid Framework to Refine Queries using Ontology. Indian Journal of Science and Technology, vol. 8, no. 24, pp. 1-5. (Scopus Indexed)
    • S , Behin Sam. (2015). An Experimental Analysis of the impact of Domain Independent Ontology over Navigational Queries. Australian Journal of Basic and Applied Sciences,vol. 9, no.16, pp. 244-248. (Scopus Indexed)
    • S, Behin Sam. (2015). An Implementation and Performance Comparison of Ontology based Query Refinement Methods. International Journal of Applied Engineering Research, vol. 10,no.41, pp. 30604-30608. (Scopus Indexed)
    • Ruban, S. Behin Sam,Rakesh Kumar. (2015). Determining the Impact of Domain Independent Ontology over Transactional user Queries. Indian Journal of Science and Technology, vol. 8, no.24, pp. 1-6. (Scopus Indexed)
    • Ruban,S. Behin Sam, B.L. Srinivas. (2015). A Comparative Study and Performance Analysis of Wordnet over Transactional and Informational Queries. International Journal of Applied Engineering Research, vol.10,no.70, pp. 326-333. (Scopus Indexed)
    • S, Behin Sam. (2015). An Experimental Analysis and Implementation of Ontology based Query Expansion., ARPN Journal of Engineering and Applied Sciences, vol. 10, no. 7, pp. 3108-3111. (Scopus Indexed)
    Conference presentations
    • Ruban S, Moosa Jabeer A, Sanjeev Rai, “Daily Platelet Count Prediction in treating Dengue Patients using Deep Learning Algorithm”, presented on the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2023, held on 25-26, February’2023. To be published on Springer “Lecture Notes in Electrical Engineering”, (https://www.springer.com/series/7818)
    • Ruban, M. Moosa Jabeer and R. Shenoy Basti, “Improvising Breast Cancer detection using CNN, VGG and SSD Algorithms,” 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, May 2022.
    • Ruban S, Naresh A, Sanjeev Rai, “Detecting Dengue Disease using Ensemble Classification Algorithms”, presented on the International conference on Data Science computation and security (IDSCS 2022) (Springer “Lecture Notes in Networks and Systems”, (https://www.springer.com/series/15179)  held on 11-12 Feb 2022.
    • Ruban S, Naresh A, Sanjeev Rai, “An Ensemble Approach for Detecting Malaria Using Classification Algorithms”, presented on the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022, held on 25-26, February’2022. To be published on Springer “Lecture Notes in Electrical Engineering”, (https://www.springer.com/series/7818)
    • Ruban, M. Moosa Jabeer , Roopesh, Ramya “Stroke Prediction using ML techniques” at SACAIM 2022, International conference held at AIMIT, St Aloysius College (Deemed to be University), Mangalore on Dec 2022.
    • Ruban, M. Moosa Jabeer , Arshan “Prediction on Cardiovascular illness with Machine Learning” at SACAIM 2022, International conference held at AIMIT, St Aloysius College (Deemed to be University), Mangalore on Dec 2022.
    • Ruban, M. Moosa Jabeer, Safwan “Malaria disease detection using Deep Learning” at SACAIM 2022, International conference held at AIMIT, St Aloysius College (Deemed to be University), Mangalore on Dec 2022.
    • Ruban, M. Moosa Jabeer, Deeksha “Brain tumour detection using Deep Learning tecchnique” at SACAIM 2022, International conference held at AIMIT, St Aloysius College (Deemed to be University), Mangalore on Dec 2022.
    • Ruban, M. Moosa Jabeer, janardhan “Hand Fracture detection using Deep Learning techniques” at SACAIM 2022, International conference held at AIMIT, St Aloysius College (Deemed to be University), Mangalore on Dec 2022.
    • Stuart Oliver, Shashwath Nath, Ruban S, “Breast Cancer Detection Using Deep Learning Techniques”, Conference proceedings of the Eighth International Conference(Virtual) on Advances in Information Technology & Networking(Icatn’21), 10th Nov 2021, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore.
    • Chaitra, Minaam, Ruban S, “Prediction of PCOS/PCOD using Machine Learning”, Conference proceedings of the Eighth International Conference(Virtual) on Advances in Information Technology & Networking(Icatn’21), 10th Nov 2021, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore.
    • Rachel, Joylia, Ruban S, “Speech Emotion Recognition Using Deep Learning Techniques”, Conference proceedings of the Eighth International Conference(Virtual) on Advances in Information Technology & Networking(Icatn’21), 10th Nov 2021, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore.
    • Stuart Oliver, Shashwath Nath, Ruban S, “Breast Cancer Detection Using Deep Learning Techniques”, Conference proceedings of the Eighth International Conference(Virtual) on Advances in Information Technology & Networking(Icatn’21), 10th Nov 2021, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore.
    • Chaitra, Minaam, Ruban S, “Prediction of PCOS/PCOD using Machine Learning”, Conference proceedings of the Eighth International Conference(Virtual) on Advances in Information Technology & Networking(Icatn’21), 10th Nov 2021, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore.
    • Amit, Indrajith, Ruban S, “House price prediction using Machine Learning Techniques”, Conference proceedings of the Eighth International Conference(Virtual) on Advances in Information Technology & Networking(Icatn’21), 10th Nov 2021, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore.
    • Dhanya, Jagruthi, Ruban S, “Ischemic Stroke Prediction Using Deep Learning Techniques”, Conference proceedings of the Eighth International Conference(Virtual) on Advances in Information Technology & Networking(Icatn’21), 10th Nov 2021, Department of Computer Science, Dr G R Damodaran College of Science, Coimbatore.
    • Prajwal Kumar Shetty, Sanjana, Ruban S, “Detection of Liver Diseases using Machine Learning Algorithms”, Conference proceedings of the St Aloysius college international conference on Advanced IT, Engineering and Management – 2021. (SACAIM – 2021) ISBN no: 978-93-91077-79-02, Dec 2nd and 3rd
    • Chaitra Krishna, Minaam, Ruban S, “Prediction of Thyroid using Machine Learning Algorithms”, Conference proceedings of the St Aloysius college international conference on Advanced IT, Engineering and Management – 2021. (SACAIM – 2021) ISBN no: 978-93-91077-79-02, Dec 2nd and 3rd
    • Shashwath Nath, Stuart Olivera, Ruban S, “Chronic obstructive pulmonary disease Severity prediction using Machine Learning”, Conference proceedings of the St Aloysius college international conference on Advanced IT, Engineering and Management – 2021. (SACAIM – 2021) ISBN no: 978-93-91077-79-02, Dec 2nd and 3rd
    • Dhanya Kedambadi, Jagruthi, Ruban S, “Prediction of Covid 19 Impact On lungs using Deep learning”, Conference proceedings of the St Aloysius college international conference on Advanced IT, Engineering and Management – 2021. (SACAIM – 2021) ISBN no: 978-93-91077-79-02, Dec 2nd and 3rd
    Other Achievements
    • Resource person for the two-day workshop organised by C-DART (Centre for Digital Health, Artificial Intelligence, Research and Training), Basaveshwara Medical College and Hospital, Chitradurga, Karnataka on March 31 and April 1, 2023.
    • Resource person for the one-day session on “Having a Winner’s Attitude”, for the Final Year Engineering students of Jayaraj Annapackiam CSI College of Engineering, Nazareth, Tuticorin, Tamilnadu, April 2nd
    • Resource person for the one-day session on “Relationship matters”, for the Final Year Engineering students of G.U, Pope College of Engineering, Tuticorin, February 2023.
    • Session Chair for the Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, May 2022.
    • Session Chair for the SACAIM International Conference held at AIMIT, St Aloysius College (Deemed to be University), Mangalore, India, Dec 2022.
    • Resource person for a session on “Innovative Ways of Using ICT” for Physical Sciences staff, St Aloysius College (Deemed to be University), 7th June 2019.
    • Resource person for a session on “Research Guidelines” for Final Year Students of Hotel Management at Sarosh Institute of Hotel Management and Administration, 30th July 2019.
    • Resource Person for a session on “Career Advancement” for Final Year Degree Students at Vivekananda college of Arts and Science, June 2019.
    • Resource person for a session on “Innovative methods of using ICT for Teaching” for Faculty Members at Sarosh Institute of Hotel Management and Administration, June 17th 2019.
    • Resource Person for a session on “Resume building and Effective Communication” for Final year BCA Students at Vivekananda college of Arts and Science, June 2019.
    • Moderated a Track on “Big Data Analytics and Technology”, at SACAIM 2019, Nov 21 and 22, 2019.