Awards and Achievements

• Awarded “Certified Digital Teacher” by ICT Academy.
• Awarded ‘Certificate of Appreciation’ and ‘Top Performing Mentor’ in recognition of his role as a mentor for the NPTEL Online course by IIT, Madras Jul-Dec 2019.
• Qualified Karnataka State Eligibility Test -2018 (SET) for Assistant Professorship.
• Letter of Appreciation , “Academic Performance” – BNMIT for the year 2016-17
• Recognized as “GOLD Partner Faculty” under Inspire-The Campus Connect Faculty Partnership Model for contributions towards Campus Connect during Jan-Dec 2017.
• Awarded with A⁺ Grade for scoring above 80% in FEP on “UI Technologies” conducted by Infosys at Acharya Institute of Technology, Bengaluru.
• Recognized as “SILVER Partner Faculty” under Inspire-The Campus Connect Faculty Partnership Model for contributions towards Campus Connect during Jan-Dec 2016.
• Awarded Certificate of Appreciation and Amazon kindle for being the Runner-Up in “CONTENT GURU” Event of INSPIRE FACULTY EXCELLENCE AWARDS -The Annual Event (Technical Track)at Infosys Limited, Bengaluru DC on 30th June 2016.
• Recognized as “BRONZE Partner Faculty” under Inspire-The Campus Connect Faculty Partnership Model for contributions towards Campus Connect during Jan-Dec 2015.
• Awarded with A⁺ Grade for scoring above 80% in “Foundation Program 4.0” conducted by Infosys at RMK college of Engineering, Chennai.
• Awarded Certificate of Appreciation by IIT Madras for contribution towards “SHAASTRA 2014” at BNMIT, Bengaluru.

 Invited Talks Delivered

• Delivered a session in Multidisciplinary International e-Symposium on “The Role of Information Technology and Advance Computing System in Global Research and Development”, organised by International Centre for Research and Development. 20^th August 2020.

Academic Positions and other Responsibilities (University Level)

• VTU Squad for verification of CCTV and Creation of Infrastructure for VPN, 4^th and 5^th November 2019.
• Deputy Chief Superintendent (External) at BMS Evening College of Engineering, Bangalore from 18-06-2018 to 9-07-2018 for the conduction of June/July 2018 B.E. examinations of VTU, Belagavi.

Academic Positions and other Responsibilities (Institute and Department Level)

• Member of Editorial Team for the College magazine JNANA BHAGEERATHI (2012-2013).
• Department Placement Coordinator for academic years 2012-13, 2014-15 & 2015-16.
• Member of organizing committee for one week Faculty Development program on “Storage Area Network: Configuration & Management simplified” at BNMIT during Jan 19 to 23, 2015.
• Department Coordinator for TATVA 2016.
• Main Coordinator for Infosys Campus Connect-FP5.0, 2016-17
• Member of organizing committee for one week Faculty Development program on “Machine Learning” at BNMIT during Jan 18 to 23, 2016.
• Main coordinator for 2 days technical workshop on “Python Programming and Databases” conducted by INFOSYS at BNMIT, Jan 28-29, 2016.
• Member of organizing committee for 12^th International Multi-Conference on Information Processing, Organized by The society of Information Processing, Bangalore from 19-21 August, 2016.
• Department Exam Coordinator for academic year 2016-17
• Department Test Coordinator for academic year 2017-18
• Main Coordinator for Infosys Campus Connect-FP5.0, 2017-18
• Main Coordinator for Infosys Campus Connect-FP5.0, 2018-19
• Main Coordinator- Experiential Learning Lab-Non IT branches for academic year 2018-19.
• Single Point of Contact (SPOC) for Infosys Limited for academic years 2015-16, 2017-18 & 2018-19.
• Member of organizing committee for fifth International Conference on Information Processing, Organized by Computing Professional Charitable Trust, Dept of CSE, UVCE Bangalore, 20-22^nd December 2019.
• Member of organizing committee for Virtual Webinar Series on Research Frontiers in Intelligent Computing conducted during 25th to 3rd July 2020.
• Project / Internship Coordinator for academic year 2020-21.
• E- Attestation Officer – Verification and E-Attesting documents uploaded in SSP portal for academic year 2020-21.
• Department Website Coordinator from August 2019 to Present
• First Year coordinator from August 2021 to Present.

Reviewer at National/International Conference/Seminars

• Reviewer for Sixth International Conference on Information Processing (ICInPro), 2021.

Professional Memberships

• Life member of ISTE, Id no: LM 133033
• The Institute of Engineers (India), ID no: M-1695090.

Expertise / list of Subjects handled

• Computer Concepts and C Programming
• Programming in C and Data Structures
• Data Structures
• Data Mining
• Object Oriented Modeling and Design
• Compiler Design
• UNIX Shell Programming
• Managing Big Data
• Database Management System and
• Object Oriented Concepts using JAVA

Research Interest

• Data Science
• Machine Learning
• Data Mining

Funding received

Nil

Journal

• Raghavendra C K and Srikantaiah K C. Weighted Hybrid Model for Improving Predictive Performance of Recommendation Systems Using Ensemble Learning, Indian Journal of Computer Science and Engineering, Vol. 13, No.2, pp. 513-524, Mar-Apr 2022.
• Raghavendra C K and Srikantaiah K C. Deep Transfer-Based Skin Carcinoma Detection, ECS Trans. 107 12055, 2022.
• Raghavendra C K, Srikantaiah K.C. Switching Hybrid Model for Personalized Recommendations By Combining Users Demographic Information, Journal of Theoretical and Applied Information Technology, Vol. 100.  Issue 3, 2022.
• Pooja M Kerudi, Pratheeksha M, T Sai Srujan and Raghavendra C K, Book Recommendation System: A Systematic Review and Research Issues, Journal of Huazhong University of Science and Technology, Volume 50, Issue 6, June 2021, ISSN-1671-4512.
• Raghavendra C K, Srikantaiah K.C, Venugopal K. R, “Personalized Recommendation Systems (PRES): Comprehensive Study and Research Issues”, International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.10, pp. 11-21, 2018.DOI: 10.5815/ijmecs.2018.10.02
• Girisha GS,Raghavendra C K, “Classification of Yeast Dataset by Transductive Multi Label Learning via Label set Propagation,” in International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), ISSN: 2319-8753, Vol. 6, Special Issue 12, July 2017.
• K, Raghavendra C.K,  “Melanoma Detection and Classification System using Artificial Neural Networks,” in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume 4, Issue 3, June 2017.
• Swathi K, Raghavendra C.K, “Techniques of Skin Cancer Detection and Classification”, Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume 4, Issue 3, and June 2017

Conference

• Raghavendra C K and Srikantaiah K C. Analysis of Prediction Accuracies for Memory Based and Model Based Collaborative Filtering Models, In Springer 6^th International Conference on Inventive Systems and Control (ICISC), JCT College of Engineering and Technology, Coimbatore, India, January 6 and 7, 2022
• Raghavendra C K and Srikantaiah K C. The State of the Art in Deep learning based Recommender Systems, In Springer 3^rd International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Tribhuvan University, Nepal, January 27 and 28, 2022
• Raghavendra C K and K. C. Srikantaiah. Similarity Based Collaborative Filtering Model for Movie Recommendation Systems, In 5^th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 1143-1147, 2021
• B. Sushma, C. K. Raghavendra and J. Prashanth. CNN based U-Net with Modified Skip Connections for Colon Polyp Segmentation, In 5th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1762-1766, 2021
• Seshamalini M, Sindhu Annappa Naik, Soundarya K R Hebbar, Raghavendra C K, “A Framework for Spam Detection in Online Social Media Reviews”, 10^th National Conference on Advances in Information Technology (NCAIT-18), at SJBIT , May 9, 2018
• Girisha G S,Raghavendra C K, Prashanth J, “Multi Label Learning via Label set Propagation“, 2^nd International Conference on Computer Science & Technology Allies in Research (ICCSTAR) at City College of Engineering, Bangalore, on 11 and 12^th May 2017.
• Girisha GS,Raghavendra C K, Prashanth J, “Multiple Instance Learning Techniques  for Multimedia data mining and their Applications”, 22^nd International Conference on  Cloud Computing Computer Science and Advances in Information Technology (ICCCCIT), Mysore, September 11, 2016.
• Raghavendra C K, “Comparison of Mammogram Classification Accuracies of Support Vector Machines (SVM) and Artificial Neural Networks (ANN)”, International Conference on Current Trends in Engineering and Management (ICCTEM 2012), VVCE, Mysore, July 12-14, 2012.
• Raghavendra C K, “Determination of Classification Accuracies for SVM with RBF Kernel and ANN with Feed Forward Multi-Layer Perceptron”, National Conference on Advances in Computer Applications (NCACA 2012), SSIT, Tumkur, May 10-11, 2012.

Book

Nil

Hobbies

Sports 

Music

Any other things