Head of Department of MSc Big Data Analytics & MSc Data Science

Convener for International Conference ICAIH 2025 (Springer Conference)

Academic Advisory Committee chair person

Antiragging Committe - Coordinator

Anti-drug committee Coordinator

EPITOME - National Level IT fest Coordinator

SPOC for TCS Academic programmes related to MSc BDA course.

Time Table Committe Coordinator

Counselor for IGNOU students from 2005 to 2019

Examintion Squad, AIMIT Centre

Chief Examination Coordinator, AIMIT Centre

Total Teaching experience : 23 Years

Total Industry and other experience : 10 Years

Currently working as Associate Professor and Head of Department (HOD), MSc (BDA& DS).

For the last 21 years teaching PG students (MCA, MBA and MSc) at St. Aloysius Institute of Management and Information Technology, Mangalore.

Joined Institution on 09-09-2005

2001 started own startup RK Softec - Software developing firm :  developed softwares especially for co-operative banking

2001 to 2004 worked as Advocate and Legal Consultant for some Co-operative banks and societies in Mangalore

March 1995 to December 2001, System Administrator and Back Office Assistant Mangalore Stock Exchange. During which attended many business and corporate seminars held in Mumbai and Bangalore.

April 1994 to March 1995 , worked as Teaching Assistant at School of Social Work , Roshni Nilaya , Mangalore

April 1993 to April 1994, worked as Teaching Assistant at AICS, St.Aloysius College, Mangalore

• Data Mining, HR Analytics & Artificial Intelligence
• PhD Thesis: “Comparative analysis of quality of work life, organizational commitment, job satisfaction and turnover intention among employees of service and manufacturing sectors”
• The Role of HR Analytics (2020): A data science approach to maximize effectiveness and productivity in Higher Educational Institutions of Dakshina Kannada and Udupi District

• ·

  Scopus Indexed & ABDC  Journals

   Hybrid Deep Learning Approach for Accurate and Interpretable Chest X-ray Image Classification  International Conference on Intelligent Systems and Pioneering Innovations in Robotics and Electric Mobility (INSPIRE) | 979-8-3315-8644-7/25/$31.00 ©2025 IEEE | DOI: 10.1109/INSPIRE67328.2025.11300561  (Scopus Indexed)

•     Dr Rakesh Kumar B, The Dynamics Innovation in Human Resource Management, European Economic Letters ISSN 2323-5233 Vol 14, Issue 3 (2024) http://eelet.org.uk  (ABDC)

  ·   Rakesh Kumar B, Moral Storytelling Model Using Artificial Intelligence-Driven Image-to-Text Synthesis,  IEEE Xplore  (Scopus), 2024 International Conference on Data Science and Network Security (ICDSNS)

      Contributed a chapter 14 – “Perceived Quality of Work Life and Its Influence on Organizational Commitment Among the Nurses of NABH Accredited Hospitals in Karnataka. India” for the book titled “PERSPECTIVES IN HUMAN RESOURCES” First Edition by Routledge Publication, Taylor and Francis Group ISBN9781032492858 (Scopus Indexed)

      Determining the impact of Domain independent Ontology over Transactional user Queries”, Indian Journal of Science and Technology, vol 8, no.24, pp. 1-6, 2015 (SCOPUS)

   

Papers published Some of the reputed Journals 

 ·  

Aalyzing academic dynamics: examining the interplay among job satisfaction, turnover intention, and institutional factors in higher education institutions" , Journal of Philanthropy and Management , Vol 4 (2024), E-ISSN:2691-1361

·        Rakesh Kumar, “COMPREHENSIVE STUDY ON ELECTRICITY CONSUMPTION: ANALYSIS, FORECASTING WITH PROPHET AND CUSTOMER SEGMENTATION USING CLUSTERING TECHNIQUES”, SACAIM 2024, VOLUME ISBN: 978-93-89476-67-5 | DOI: 10.25215/9389476674.25

·        Rakesh Kumar B, “EMPLOYEE ATTRITION PREDICTION USING RANDOM FOREST, LOGISTIC REGRESSION, AND SVM”, SACAIM 2024, VOLUME 1 ISBN: 978-93-89476-67-5 | DOI: 10.25215/9389476674.35

·       Exploring Academic Dynamics: Investigating the Relationships between Job Satisfaction, Turnover Intentions, and Institutional Factors in Higher Education”, Dr Rakesh Kumar/Afr.J.Bio.Sc. 6(6) (2024) 8827-8841, ISSN: 2663-2187 https://doi.org/10.33472/AFJBS.6.6.2024.8827-8841

·     “Comparative Analysis of Machine Learning Algorithms for Stroke Prediction”, SACAIM 2022,Vol – 1, chapter 4, 18-25

·  

   “Survey On Face Detection and Recognition Algorithms Using Deep Learning”, SACAIM 2022,Vol – 1, chapter 19, 104-110

·     “Classification of Price Ranges for Mobile Phones using Machine Learning”, SACAIM 2022,Vol – 1, chapter 23, 126-132

·     “Comparative Analysis towards Prediction of Lung Cancer using Machine Learning Models”, SACAIM 2022,Vol – 1, chapter 35, 202-208

·     “Machine Learning techniques for predicting Store sales”, SACAIM 2022,Vol – 2, chapter 2, 6-11

·     “Stock Market Prediction using LSTM”, SACAIM 2022,Vol – 2, chapter 13, 89-93.

·    “Utilizing Machine Learning to Predict Cardiovascular Disease”, SACAIM 2022,Vol – 2, chapter 24, 162-168.

·     “Determinants of Quality of Work Life and its influence on Employee Turnover Intention among the Employees of Manufacturing Sectors in South Karnataka” in International Journal IJSRCSAMS: ISSN 23191-953

·      “False Insurance Claim detection using Machine learning Classification Model”, International Journal of Scientific Research in Computer Science and application and Management Studies, ISSN 2319-1953

·  “Quality of Work life and its influence on Perceived Job Satisfaction among employees of Health care sectors in Dakshina Kannada District”, IJREAM: ISSN: 2454-9150 DOI: 10.35291/2454-9150.2019.0380. Aug 2019

·      Issues in Storage of Photos in Facebook: review of various storage techniques” International Journal of Latest trends in Engineering and Technology a Special Issue SACAIM 2016, pp.549-557 e-ISSN:2278-621X:Pages 558-566

·      A study on clustering based collaborative filtering approach for big data application - e-ISSN:2278-621X

·      Analysis of smart hospitals using internet of things (IOT)- e-ISSN:2278-621X

·      A comparative study of KNN and SVM algorithms in IOT - e-ISSN:2278-621X

·      A methodology for mining linkedin data for extracting and visualizing professional profiles - e-ISSN:2278-621X

·      Survey on jamming attack in manet - e-ISSN:2278-621X

·      Analysis of security and privacy issues associated with big data with reference to cloud environment e-ISSN : 2278-621X : Pages : 511-519

·      Issues in storage of photos in facebook: review of various storage techniques e-ISSN : 2278-621X : Pages 558-566

·      “An Empirical study on Perceived Quality of Work life and Turnover Intention among the Employees of Service Sector” in the international journal IJLTET p-ISSN: 2319-3778 pages 511-519 (Special Issue SACAIM – November 2016)

·      A study on clustering collaborative filtering approach for big data application – e-ISSN:2278-621-X.

• Rakesh Kumar, Shashank Aithal &Roshal Christopher(2020), “False Insurance Claim Detection Using Machine Learning Classification Model”, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953
• Rakesh Kumar B &DrBabu Thomas (2019), “ Determinants of Quality of Work Life and its influence on Employee Turnover Intention among the Employee Turnover Intention among the Employees of Manufacturing Sectors in South Karnataka” in International Journal IJSRCSAMS: ISSN 23191-953
• Rakesh Kumar B &Vanitha (2019), “Quality of Work life and its influence on Perceived Job Satisfaction among employees of Health care sectors in Dakshina Kannada District”, IJREAM: ISSN: 2454-9150 DOI: 10.35291/2454-9150.2019.0380.
• ShashankAithal, RoshalChristopher ,& Rakesh Kumar,(2018), Study on E-Governance and its projects implemented in India, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953
• Abdulla, AniketKarpe, Rakesh Kumar (2018),“Graph Database Application for a Railroad Simulation Planner using Neo4j”, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953
• Rakesh Kumar ,Akshay Rajiv Lotlikar&ShreyashKalnad(2018), “A Study on Water Quality Monitoring System Based on Internet of Things”, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953
• Adyashree M.C, Rajatha K.J, & Rakesh Kumar3 (2018), “A survey on NLP Techniques in Biomedical field”, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953
• Shruthika ,C P Monisha, & Rakesh Kumar (2018), “Warehouse: Providing Versatile, Exceedingly Available Storage for Interactive Service”, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953
• Arpitha B.M, Nisha Dimple Dias&Mr.Rakesh Kumar B (2017),“A STUDY ON CLUSTERING BASED COLLABORATIVE FILTERING APPROACH FOR BIG DATA APPLICATION”, International Journal of Latest Trends in Engineering and Technology Special Issue SACAIM 2017, pp. 262-265 e-ISSN:2278-621X
• JeevanPoojary, Chaithra P U& Rakesh Kumar B (2017), “ANALYSIS OF SMART HOSPITALS USING INTERNET OF THINGS (IOT)”, International Journal of Latest Trends in Engineering and Technology Special Issue SACAIM 2017, pp. 266-270 e-ISSN:2278-621X
• Dylan Fernendes& Rakesh Kumar B(2017), “SURVEY ON JAMMING ATTACK IN MANET”, International Journal of Latest Trends in Engineering and Technology Special Issue SACAIM 2017, pp. 410-414 e-ISSN:2278-621X
• Rakesh Kumar B ,Shyan Aloysius De Abreu & Mohammed Arshad (2017), “A METHODOLOGY FOR MINING LINKEDIN DATA FOR EXTRACTING AND VISUALIZING PROFESSIONAL PROFILES”, International Journal of Latest Trends in Engineering and Technology Special Issue SACAIM 2017, pp. 275-280 e-ISSN:2278-621X
• Nithesh, Hithesh B & Rakesh Kumar B (2017), “COMPARING DIFFERENT STRATEGIES FOR GENERATIVE STREET ADDRESS FROM SATELLITE IMAGERY”, International Journal of Latest Trends in Engineering and Technology Special Issue SACAIM 2017, pp. 458-461 e-ISSN:2278-621X
• Rakesh Kumar B, PuneethPai, Arpitha B M and Nisha Dimple Dias (2016), “ANALYSIS OF SECURITY AND PRIVACYISSUES ASSOCIATED WITH BIG DATA WITHREFERENCE TO CLOUD ENVIRONMENT”, International Journal of Latest Trends in Engineering and TechnologySpecial Issue SACAIM 2016, pp. 558-566e-ISSN:2278-621X
• Rakesh Kumar B and DrBabu Thomas (2016), “AN EMPIRICAL STUDY ON PERCEIVED QUALITY OF WORK LIFE AND TURNOVERINTENTION AMONG THE EMPLOYEES OFPRIVATE HOSPITALS”, International Journal of Latest Trends in Engineering and TechnologySpecial Issue SACAIM 2016, pp. 511-519e-ISSN:2278-621X
• Rakesh Kumar B, Abdul Rasheeque K.A and Ibrahim Arshad K M (2016), “ISSUES IN STORAGE OF PHOTOS INFACEBOOK: REVIEW OF VARIOUS STORAGETECHNIQUES”, International Journal of Latest Trends in Engineering and TechnologySpecial Issue SACAIM 2016, pp. 549-557 e-ISSN:2278-621X
• S. Ruban, S. BehinSam and 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, 2015. (SCOPUS)

Editor for the Proceedings of International Conference on Artificial Intelligence in Health Care (ICAIH-2025). ISSN No.1865-0929  (In Association with Springer CCIS).

Co-Editor for the Journal titled - Information Technology & Bioinformatics, International Conference on Advnaced IT, Engineering and Management - SACAIM 2023.

Samaja Ratna Rastriya Puraskar”, by Jnana Mandara Academy, Bangalore for Educational and Social service activities

Best Lions President in 2014

Director of St. Aloysius Teacher’s Credit Cooperative Society

Former President of Lions Club, Mangalore Pandeshwar.

Member of Canara Chamber of Commerce

Managing Trustee of Suryakanthi Charitable Trust Mangalore

Secretary of Tulu Koota (R), Mangalore

Mangalore City Corporation Ward 16 Committee Member.

SPOC for TCS Academic programmes related to MSc BDA course.

Counselor for IGNOU students from 2005 to 2019

Question paper setter and External Examiner for Mangalore University.

Question Paper setter and external examiner for Sahyadri college of Engineering & Management.

External examiner for St. Joseph’s Engineering College. Mangaluru

Member of BOE Kannur University and Calicut University.

Panel member of Manipal Sikkim University (Question Paper setting and Moderation)

Worked as an external Auditor for PQAIC Audit 2023, at Department of Business Administration, Sahyadri College of Engineering & Management.

• Presented many Research Papers in National conferences and International Conferences
• Five-Day National Level Virtual Faculty Development Programme (FDP) on Data Science & Artificial Intelligence "From Data to Intelligence" 6–10 Oct 2025
• Attended National Level workshop on “AI in Practice : A Hands-on National Workshop on Data-Driven Cardiology and GenAI Models”  on 22-09-2025, Conducted by School of Engineering.
• Attended Training session on :  “Effective Usage of IEEE Xplore Digital Library.”
• One Day workshop on IOT- Idea to Implementation – Resource person Dr Shreeja Rajesh, Professor, MITE
• Undergone 2 weeks workshop on Information Storage Management organized by EMC, Bangalore
• 1 week workshop on Big Data Analytics Infosys , Mudipu
• FDP on Data Analytics and Machine Learning at Alva’s College, Moodabidri
• “Cloud Computing and Security”- At Srinivas Institute of Technology

• Participated in the Faculty Development Programme organized by NITK, Surathkal, Infosys Mysore and Mangalore, NMAM Institute of Engineering Nitte, Srinivas Institute of Technology, Sahyadri Engineering College, Adyar, Mangalore, ALVA’s Engineering College.
• Completed swayam course on ‘Introduction to Intellectual Property’,  Data Analytics from NPTEL.