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Mr. JEFFIN JOSEPH

Assistant Professor

Full Name:Mr. JEFFIN JOSEPH
Designation:Assistant Professor
Department:Business Administration
Email: jeffinjoseph@hotmail.com
Mobile Number: +91 9605695500
Educational Qualifications:

 

B.Tech, MBA, FDP(IIM-I)

 


Awards and Achievements

Qualified UGC-NET in Management (2012 & 2013)


Area of Specialization

Operations Management, Business Analytics, Supply Chain Management, Marketing Management

Papers Presented

  • 2023
    Early Arrival of Patients Reduces Their Consultation Wait Time in Outpatient Clinics: Myth or Reality?
    Presented at the International Conference on Emerging Trends in Operations and Analytics, TAPMI, Manipal.
  • 2022
    Prediction of Outpatient Wait Times Using Neural Network
    Presented at the Ninth International Conference on Business Analytics and Intelligence, organized by Data Centre and Analytics Lab, Indian Institute of Management Bangalore.
  • 2022
    IR Sensor-Enabled Real-Time Location System for Controlling Overcrowding in Outpatient Clinics
    Presented at the Second International Conference on Advancements in Materials Science and Technology (ICAM 2022), organized by Sathyabama Institute of Science and Technology, Chennai, in association with Alexander Dubček University of Trenčín, Slovakia.
  • 2022
    Developing Prediction Model for Hospital Appointment No-Shows Using Logistic Regression
    Presented at the 3rd Congress of Intelligent Systems, organized by Christ (Deemed to be University), Bengaluru.
  • 2022
    Influence of Emotional and Social Experience on Purchase Intention
    Presented at the PIMR XVII International Conference on Assimilating the Transformation in Business, Entrepreneurial and Social Practices for Leaping into the Future, Prestige Institute of Management and Research, Indore.
  • 2021
    Patients Practicing Behaviour of Their Rights in Medical Industry Using Descriptive Modelling
    Presented at the International Conference on Novel Approaches and Developments in Biomedical Engineering, Karunya Institute of Technology and Sciences, Coimbatore.
  • 2020
    Influence of Facility Design on Inpatient Experience
    Presented at the 5th IIMA International Conference on Advances in Healthcare Management Services, Indian Institute of Management Ahmedabad.
  • 2018
    Knowledge Management for Strategic Competence of Indian Banks in the Ongoing Digital Era
    Presented at the ICSSR Sponsored International Conference, Cochin University of Science and Technology, Kochi.
  • 2014
    Integrated Self-Help Group – Potential Maximized Through a Sustainable Social Business Model
    Presented at the 2nd International Conference on ICT for Rural Development, Institute of Business Management and Rural Development, Ahmednagar, Maharashtra.

Papers Published

 

  1. Joseph, J. et al. (2025). Comparative Analysis of Machine Learning Algorithms for Predicting Consultation Wait Times in Outpatient Clinics. International Journal of Engineering Trends and Technology, 73(2), 92–106. https://doi.org/10.14445/22315381/IJETT-V73I2P108
    (Journal article, Indexed in Scopus)
  2. Joseph, J. et al. (2024). Prediction of Consultation Wait Time in Outpatient Clinic: An Approach Using Neural Network with Optimized Feature Selection. Procedia Computer Science, 233, 129–137. https://doi.org/10.1016/j.procs.2024.03.202
    (Conference paper, Indexed in Scopus)
  3. Joseph, J. et al. (2023). Feature Selection Techniques to Enhance Prediction of Clinical Appointment No Shows Using Neural Network. In Lecture Notes in Networks and Systems, Vol. 844. Springer, Singapore. https://doi.org/10.1007/978-981-99-8479-4_20 
    (Conference paper, Indexed in Scopus)
  4. Joseph, J. et al. (2023). Developing a Prediction Model for Hospital Appointment No Shows Using Logistic Regression. In Lecture Notes in Networks and Systems, Vol. 613. Springer, Singapore. https://doi.org/10.1007/978-981-19-9379-4_14 
    (Conference paper, Indexed in Scopus)
  5. Joseph, J. et al. (2022). Machine Learning for Prediction of Wait Times in Outpatient Clinic. Procedia Computer Science, 215, 230–239. https://doi.org/10.1016/j.procs.2022.12.026
    (Conference paper, Indexed in Scopus)
  6. Joseph, J. et al. (2022). Machine Learning for Prediction of Clinical Appointment No Shows. International Journal of Mathematical, Engineering and Management Sciences, 7(4), 558–574. https://doi.org/10.33889/IJMEMS.2022.7.4.036
    (Journal article, Indexed in Scopus)
  7. Sindhuja, R., Isaac, S., Vijayakumar, P., Joseph, J., & Samuel, A. E. A. (2021). Simulation and Modeling of BCI Based Multi-Purpose Wheelchair for Paralyzed People. Journal of Physics: Conference Series, 1937(1), 012048. https://doi.org/10.1088/1742-6596/1937/1/012048
    (Conference paper, Indexed in Scopus)

Book/ Book Chapters Published

  • Joseph, J. et al. (2024). Predicting Missed Appointments in Dental Clinic: Enhanced Risk Assessment with Multiple Learning Techniques. In: Advances in AI for Biomedical Instrumentation, Electronics and Computing. CRC Press, Taylor & Francis Group. https://doi.org/10.1201/9781032644752-3
    (Book chapter, Indexed in Scopus)

FDP'S ATTENDED

  • National Level Online Faculty Development Program on Research Methodology using Online Tools
    Organized by Marian College, Kuttikkanam, in association with the Kerala State Higher Education Council (KSHEC)
    📅 21 September – 29 September 2023
  • 30-day International Online Workshop on Scholarly Writing & Publishing: Emerging Areas and Challenges from AI
    Organized by Autonomous Colleges in Kerala in association with Lore and Ed Research Associates
    📅 29 May – 03 July 2023
  • One-Week Online Faculty Development Programme on Artificial Intelligence and Machine Learning
    Organized by E&ICT Academy, IIT Guwahati in association with M. Kumarasamy College of Engineering, Karur
    📅 09 May – 14 May 2022
  • Online Faculty Development Programme on Research Methodology
    Organized by Electronics and ICT Academies, Ministry of Electronics and Information Technology (MeitY), Government of India
    📅 18 April – 29 April 2022
  • Faculty Development Programme on Effective Use of Business Simulations
    Conducted by Cesim Business Simulations at Rajagiri Business School, Cochin
    📅 16 May – 17 May 2022
  • Course on “Getting and Cleaning Data”
    Offered by Johns Hopkins University through Coursera
    📅 27 August 2020
  • Online Faculty Development Programme on Analytics
    Organized by Indian Institute of Management, Visakhapatnam
    📅 17 August – 21 August 2020
  • International Online Management Development Program on Data Analytics through R for Researchers
    Organized by Bharathiar School of Management and Entrepreneur Development, Coimbatore, in association with the Institute of Analytics, UK
    📅 16 July – 31 July 2020
  • Faculty Development Program on Using Blended MOOCs in Management Education
    Organized by Indian Institute of Management, Bangalore
    📅 22 July 2017
  • Faculty Development Program on Pedagogy in Management Education
    Organized by Indian Institute of Management, Kozhikode
    📅 08 September – 12 September 2014

Researcher ID

  • Scopus Author ID: 57347281100
  • ResearcherID (Web of Science): GPF-4287-2022
  • ORCID iD: 0000-0002-1114-0522

Residence Phone Number

+919605695500

Current Positions

  • Coordinator, 31st MBA B Batch
    Berchmans Institute of Management Studies (BIMS), Kerala
  • Coordinator, Annual Programme – Union Budget Analysis
    Berchmans Institute of Management Studies (BIMS), Kerala
  • Faculty-in-Charge, Institutional Development Plan (IDP)
    Berchmans Institute of Management Studies (BIMS), Kerala