- +919036021033
- office@mitkundapura.com
- N.S.D.C COURSES
- News & Events
- ERP Login
- Grievance Redressal
Faculty Profile
Dr. Manjunath Ramanna Lamani
- Associate Professor
- BE-CSE,MTech-CSE,Ph.D.-CSE
Designation
Associate Professor
Department
Computer Science and Engineering
Educational Qualifications
BE-CSE,MTech-CSE,Ph.D.-CSE
Email ID
manjunathr@mitkundapura.com
Experience
9.5 Years
Professional membership
1. Soft Computing Research Society (SCRS) , IEEE
Area of Interest
Deep Learning, Machine Learning, Medical Image Processing, Security, Computer Networks, VANET, NLP
Paper Published
1. Lamani, M. R., Benadit, P. J., & Vaithinathan, K. (2023). Multi-atlas graph convolutional networks and convolutional recurrent neural networks-based ensemble learning for classification of autism spectrum disorders. SN Computer science, 4(3), 213.
2. Lamani, M. R., Benadit, P. J., & Vaithinathan, K. (2023, April). Autism Spectrum Disorder: Automated Detection based on rs-fMRI images using CNN. In 2023 IEEE International Conference on Contemporary Computing and Communications (InC4) (Vol. 1, pp. 1-5). IEEE.
3. Reshma, S., Chennakesavulu, M., Patil, S. S., & Lamani, M. R. (2024). Efficient feature fusion model with modified bidirectional LSTM for automatic Parkinson’s disease classification. International Journal of Information Technology, 16(6), 3963-3971.
4. Lamani, M. R., & Benadit, P. J. (2023). Automatic diagnosis of autism spectrum disorder detection using a hybrid feature selection model with graph convolution network. SN Computer Science, 5(1), 126.
5. Lamani, M. R., & Julian Benadit, P. (2023, August). An early detection of autism spectrum disorder using PDNN and ABIDE I&II dataset. In International Conference on Artificial Intelligence on Textile and Apparel (pp. 295-310). Singapore: Springer Nature Singapore.
6. Patil, M. A., Parane, K., Sivaprasad, D. D., Poojara, S., & Lamani, M. R. (2022, September). Smart Attendance Management System using IoT. In 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA) (pp. 1-6). IEEE.
7. Lamani, M. R., & Pernabas, J. B. (2024). A Thorough Review of Deep Learning in Autism Spectrum Disorder Detection: From Data to Diagnosis. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 17(8), 73-91.
8. Lamani, M. R., & Julian Benadit, P. (2023, September). A review on deep learning algorithms in the detection of autism spectrum disorder. In Congress on Intelligent Systems (pp. 283-297). Singapore: Springer Nature Singapore.
9. Lamani, M. R., Benadit, P. J., Vaithinathan, K., & Parthiban, L. (2023). An Efficient Security-Enabled Routing Protocol for Data Transmission in VANET Using Blockchain Ripple Protocol Consensus Algorithm. In Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations (pp. 253-264). Cham: Springer International Publishing.
10. Silambarasan, E., Naresh, E., Asha, V., & Lamani, M. R. (2024). Energy efficient heterogeneous clustering scheme using improved golden eagle optimization algorithm for WSN-based IoT. International Journal of Information Technology, 1-8.
11. Lamani, M. R., Padmaja, K., Asha, V., Somesha, M., Shilpa, B. L., & Anand, M. (2024). Leveraging Natural Language Processing for Enhanced Pharmacovigilance in Reproductive Health. In Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods (pp. 143-155). Singapore: Springer Nature Singapore.
12. Lamani, M. R., Padmaja, K., Shilpa, B. L., & Asha, V. (2024, August). Enhanced Lumpy Cattle Skin Disease Prognosis via Deep Learning Methods. In 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON) (pp. 1-6). IEEE.
13. Lamani, M. R., Julian Benadit, P., & Guruprasad, C. (2024, March). Enhancing Diagnostic Accuracy for Autism with BRCNet: A Novel Approach for Brain Region Segmentation and Classification Using Deep Learning. In International Conference on Computing and Machine Learning (pp. 373-385). Singapore: Springer Nature Singapore.
14. Lamani, M. R., Julian Benadit, P., & Guruprasad, C. (2024). AdvanDNN: Deep Neural Network Analysis of Neuroimaging for Identifying Vulnerable Brain Regions in Autism Spectrum Disorder. In International Conference on Power Engineering and Intelligent Systems (PEIS) (pp. 497-510). Springer, Singapore.
15. Srinivasa Rao, G., Arur, P. C., & Lamani, M. R. AMALGAMATED CLOUD AI: TRANSPIRING REVOLUTION IN BROADBAND CELLULAR NETWORK STANDARDS.
16. Srinivasa Rao, G., Arur, P. C., & Lamani, M. R. ARSM hybrid hash algorithm based optimal solution approach and implementation for improved cloud security defensive mechanism.
17. Pearson Correlation-based Clustering with Collaborative Task Allocation in 5G Industrial Internet of Things Divergent Health Networks (Accepted-SCI-Q1-Journal)
18 Lamani, M.R., Mukku, L., Asha, V., Padmaja, K. (2025). Enhancing Early Detection of Alzheimer’s Disease Through Integrated Deep Learning Models: A Multimodal Diagnostic Approach. In: Kumar, S., Mary Anita, E.A., Kim, J.H., Nagar, A. (eds) Fifth Congress on Intelligent Systems. CIS 2024. Lecture Notes in Networks and Systems, vol 1278. Springer, Singapore. https://doi.org/10.1007/978-981-96-2703-5_1
2. Lamani, M. R., Benadit, P. J., & Vaithinathan, K. (2023, April). Autism Spectrum Disorder: Automated Detection based on rs-fMRI images using CNN. In 2023 IEEE International Conference on Contemporary Computing and Communications (InC4) (Vol. 1, pp. 1-5). IEEE.
3. Reshma, S., Chennakesavulu, M., Patil, S. S., & Lamani, M. R. (2024). Efficient feature fusion model with modified bidirectional LSTM for automatic Parkinson’s disease classification. International Journal of Information Technology, 16(6), 3963-3971.
4. Lamani, M. R., & Benadit, P. J. (2023). Automatic diagnosis of autism spectrum disorder detection using a hybrid feature selection model with graph convolution network. SN Computer Science, 5(1), 126.
5. Lamani, M. R., & Julian Benadit, P. (2023, August). An early detection of autism spectrum disorder using PDNN and ABIDE I&II dataset. In International Conference on Artificial Intelligence on Textile and Apparel (pp. 295-310). Singapore: Springer Nature Singapore.
6. Patil, M. A., Parane, K., Sivaprasad, D. D., Poojara, S., & Lamani, M. R. (2022, September). Smart Attendance Management System using IoT. In 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA) (pp. 1-6). IEEE.
7. Lamani, M. R., & Pernabas, J. B. (2024). A Thorough Review of Deep Learning in Autism Spectrum Disorder Detection: From Data to Diagnosis. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 17(8), 73-91.
8. Lamani, M. R., & Julian Benadit, P. (2023, September). A review on deep learning algorithms in the detection of autism spectrum disorder. In Congress on Intelligent Systems (pp. 283-297). Singapore: Springer Nature Singapore.
9. Lamani, M. R., Benadit, P. J., Vaithinathan, K., & Parthiban, L. (2023). An Efficient Security-Enabled Routing Protocol for Data Transmission in VANET Using Blockchain Ripple Protocol Consensus Algorithm. In Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations (pp. 253-264). Cham: Springer International Publishing.
10. Silambarasan, E., Naresh, E., Asha, V., & Lamani, M. R. (2024). Energy efficient heterogeneous clustering scheme using improved golden eagle optimization algorithm for WSN-based IoT. International Journal of Information Technology, 1-8.
11. Lamani, M. R., Padmaja, K., Asha, V., Somesha, M., Shilpa, B. L., & Anand, M. (2024). Leveraging Natural Language Processing for Enhanced Pharmacovigilance in Reproductive Health. In Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods (pp. 143-155). Singapore: Springer Nature Singapore.
12. Lamani, M. R., Padmaja, K., Shilpa, B. L., & Asha, V. (2024, August). Enhanced Lumpy Cattle Skin Disease Prognosis via Deep Learning Methods. In 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON) (pp. 1-6). IEEE.
13. Lamani, M. R., Julian Benadit, P., & Guruprasad, C. (2024, March). Enhancing Diagnostic Accuracy for Autism with BRCNet: A Novel Approach for Brain Region Segmentation and Classification Using Deep Learning. In International Conference on Computing and Machine Learning (pp. 373-385). Singapore: Springer Nature Singapore.
14. Lamani, M. R., Julian Benadit, P., & Guruprasad, C. (2024). AdvanDNN: Deep Neural Network Analysis of Neuroimaging for Identifying Vulnerable Brain Regions in Autism Spectrum Disorder. In International Conference on Power Engineering and Intelligent Systems (PEIS) (pp. 497-510). Springer, Singapore.
15. Srinivasa Rao, G., Arur, P. C., & Lamani, M. R. AMALGAMATED CLOUD AI: TRANSPIRING REVOLUTION IN BROADBAND CELLULAR NETWORK STANDARDS.
16. Srinivasa Rao, G., Arur, P. C., & Lamani, M. R. ARSM hybrid hash algorithm based optimal solution approach and implementation for improved cloud security defensive mechanism.
17. Pearson Correlation-based Clustering with Collaborative Task Allocation in 5G Industrial Internet of Things Divergent Health Networks (Accepted-SCI-Q1-Journal)
18 Lamani, M.R., Mukku, L., Asha, V., Padmaja, K. (2025). Enhancing Early Detection of Alzheimer’s Disease Through Integrated Deep Learning Models: A Multimodal Diagnostic Approach. In: Kumar, S., Mary Anita, E.A., Kim, J.H., Nagar, A. (eds) Fifth Congress on Intelligent Systems. CIS 2024. Lecture Notes in Networks and Systems, vol 1278. Springer, Singapore. https://doi.org/10.1007/978-981-96-2703-5_1
Patent filed/granted/published
1. AI-based camera for Detecting Intruders: 202341044979
2. GPRS, Sensor, and IOT Based travel Bag: 202341045303
3. Autism Detecting Device: 425781-001
2. GPRS, Sensor, and IOT Based travel Bag: 202341045303
3. Autism Detecting Device: 425781-001
Book Published
1. Deep learning with python: 978-93-5757-638-3-scientific international publishing house-author: Manjunath Ramanna Lamani, Padmaja K, Somesha M, asha v, Deepa pattan:01-09-2023. https://sipinternationalpublishers.com/product-detail.php?PID=MTU1NA
2. Neural networks and deep learning: 978-93-5757-786-1 -international publishing house -author: Padmaja K, Manjunath Ramanna Lamani, Asha v, Somesha M, Amaresh A. m:01-09-2023.
https://sipinternationalpublishers.com/product-detail.php?PID=MTU1NQ
3. Python programming: 978-93-5757-799-1 – scientific international publishing house-author: dr. Gurukumar lokku, manjunath ramanna lamani, shilpa b l, padmaja k:01-09-2023.
https://sipinternationalpublishers.com/product-detail.php?PID=MTQ2Ng
2. Neural networks and deep learning: 978-93-5757-786-1 -international publishing house -author: Padmaja K, Manjunath Ramanna Lamani, Asha v, Somesha M, Amaresh A. m:01-09-2023.
https://sipinternationalpublishers.com/product-detail.php?PID=MTU1NQ
3. Python programming: 978-93-5757-799-1 – scientific international publishing house-author: dr. Gurukumar lokku, manjunath ramanna lamani, shilpa b l, padmaja k:01-09-2023.
https://sipinternationalpublishers.com/product-detail.php?PID=MTQ2Ng
Certification
1. Successfully completed PYTHON FOR DATA SCIENCE COURSE WITH ELITE SCORE.
2. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online FDP on “Research Methodology” from 2020-12-1 to 2020-12-5 at INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, NAGPUR
3. Udemy Course on Deep Learning
2. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online FDP on “Research Methodology” from 2020-12-1 to 2020-12-5 at INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, NAGPUR
3. Udemy Course on Deep Learning
Additional Info
1. Participated in national programme in ICT Based Programe “Remote Sensing, GIS & GPS Application in Engineering” From NITTTR, Chandigarh.
2. Participated in Department of Technical Education State Project Facilitation Unit(SPFU)-Technical Education Quality Improvement Programme (TEQIP)-Government Engineering College, Karwar(GECK) is Organized Worksop on “Research Methodology” in collaboration with NITTTR Chandigarh.
3. Participated in Five Days Faculty Development Programme on Mathematical Modelling For Research Problems-BMS&IT,Bengaluru.
4. Participated in NPTEL Workshop conducted on July 19,2018 by IIT Madras, held in SDM College Of Engineering and Technology, Dharwad.
5. Participated in International Conference on Going Global In Higher Education (GGHE-2K19), held in Government Arts and Science College (Autonomous) Karwar.
6. Attended Online Certificate Course on “Remote Sensing & GIS Technology and Applications” during June 13, 2020 – July 01, 2020, Indian Institute of Remote Sensing Indian Space Research Organisation Department of Space, Government of India Dehradun – 248 001, Uttarakhand
7. Participated in National Webinar on e-Learning, e-Content and Copyrights, Guru Anand Dev Teaching Learning Centre of MHRD(GAD-TLC).
8. Participated in the Five Days Online Faculty Development Programme on “Machine Learning and Data Science”, organized by the Department of Computer Science and Engineering in Technical Association with IEEE Bangalore Section, from 31st August to 4th September 2020,VDIT,Haliyal Uttara kannada, Karnataka.
9. Participated in a webinar on “INTRODUCTION TO BUILDING APPLICATIONS USING JAVASCRIPT” held on 12th September 2020, organized by the Department of Computer Science and Engineering, St. Joseph Engineering College Mangalore.
10. Participated in webinar on Scientific Writing for Journals organized by Springer Nature on 30th Sep in collaboration with VTU Consortium.
11. Workshop attended in Symposium – Designing Digital Solutions for Water Management.
12. The 2nd Congress on Intelligent Systems (CIS 2021) during September 04-05, 2021 in association of Soft Computing Research Society (SCRS).
13. Online Techtalk “Role of IEEE in Engineering – Various IEEE Societies, Standardsand Data Center” organized by the Centre for Research, (Ph.D Programme), Bangalore Kengeri Campus, in association with the IEEE Student Branch, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India, on 14th August, 2021.
14. Online Webinar Series – Event 3: “Unleashing the Power of Deep Learning for all Research Domains” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch and Department of Computer Science & Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 11th December, 2021.
15. Online Webinar Series – Event 4: “IEEE Authorship Workshop:Tips and Tricks on Writing Research Articles for Journals” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 18th December, 2021.
16. Online Webinar Series – Event 5: “Inter-Multi-Disciplinary Research Paradigms and Methodological Approaches in Sustainable Built Environment Studies” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch, School of Engineering and Technology (SoET) and School of Architecture, CHRIST (Deemed to be University), Bangalore, India, on 12th February, 2022.
17. Online Webinar Series – Event 6: “Ethics for Sustainable Collaborative Research” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch, and the Department of Electrical and Electronics Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 12th March, 2022.
18. Online Webinar Series – Event 7: “Influence of English in Research Writing” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch and Dept. of Mechanical and Automobile Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 26th March, 2022.
19. Participated in “Early Career Researcher Training Programme on Presentation Skills and Research Proposal Writing”,12 days training programme, organized by Department of CSE, School of Engineering and Technology, Christ University, Kengeri Campus, Bangalore and sponsored by the Association of Commonwealth Universities (ACU), United Kingdom.
20. FDP : “Associate Analytics” in Business Process Management conducted by NASSCOM on Feb 25, 2022 (Friday). The 60 hr sessions were conducted in online mode.
21. Poster Presentation and attended a workshop in IISc, Bengaluru.
22. Smart City Stack and DevOps” conducted by “India Urban Data Exchange, IISc, Bengaluru.
23. Attended Hi-end Karyashala – SERB at IIITM-Gwalior, MP
24. Attended Hi-end Karyashala – SERB at IIIT Dharwad
2. Participated in Department of Technical Education State Project Facilitation Unit(SPFU)-Technical Education Quality Improvement Programme (TEQIP)-Government Engineering College, Karwar(GECK) is Organized Worksop on “Research Methodology” in collaboration with NITTTR Chandigarh.
3. Participated in Five Days Faculty Development Programme on Mathematical Modelling For Research Problems-BMS&IT,Bengaluru.
4. Participated in NPTEL Workshop conducted on July 19,2018 by IIT Madras, held in SDM College Of Engineering and Technology, Dharwad.
5. Participated in International Conference on Going Global In Higher Education (GGHE-2K19), held in Government Arts and Science College (Autonomous) Karwar.
6. Attended Online Certificate Course on “Remote Sensing & GIS Technology and Applications” during June 13, 2020 – July 01, 2020, Indian Institute of Remote Sensing Indian Space Research Organisation Department of Space, Government of India Dehradun – 248 001, Uttarakhand
7. Participated in National Webinar on e-Learning, e-Content and Copyrights, Guru Anand Dev Teaching Learning Centre of MHRD(GAD-TLC).
8. Participated in the Five Days Online Faculty Development Programme on “Machine Learning and Data Science”, organized by the Department of Computer Science and Engineering in Technical Association with IEEE Bangalore Section, from 31st August to 4th September 2020,VDIT,Haliyal Uttara kannada, Karnataka.
9. Participated in a webinar on “INTRODUCTION TO BUILDING APPLICATIONS USING JAVASCRIPT” held on 12th September 2020, organized by the Department of Computer Science and Engineering, St. Joseph Engineering College Mangalore.
10. Participated in webinar on Scientific Writing for Journals organized by Springer Nature on 30th Sep in collaboration with VTU Consortium.
11. Workshop attended in Symposium – Designing Digital Solutions for Water Management.
12. The 2nd Congress on Intelligent Systems (CIS 2021) during September 04-05, 2021 in association of Soft Computing Research Society (SCRS).
13. Online Techtalk “Role of IEEE in Engineering – Various IEEE Societies, Standardsand Data Center” organized by the Centre for Research, (Ph.D Programme), Bangalore Kengeri Campus, in association with the IEEE Student Branch, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India, on 14th August, 2021.
14. Online Webinar Series – Event 3: “Unleashing the Power of Deep Learning for all Research Domains” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch and Department of Computer Science & Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 11th December, 2021.
15. Online Webinar Series – Event 4: “IEEE Authorship Workshop:Tips and Tricks on Writing Research Articles for Journals” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 18th December, 2021.
16. Online Webinar Series – Event 5: “Inter-Multi-Disciplinary Research Paradigms and Methodological Approaches in Sustainable Built Environment Studies” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch, School of Engineering and Technology (SoET) and School of Architecture, CHRIST (Deemed to be University), Bangalore, India, on 12th February, 2022.
17. Online Webinar Series – Event 6: “Ethics for Sustainable Collaborative Research” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch, and the Department of Electrical and Electronics Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 12th March, 2022.
18. Online Webinar Series – Event 7: “Influence of English in Research Writing” organized by the Centre for Research, Ph.D Programme, Bangalore Kengeri Campus, in association with the IEEE Student Branch and Dept. of Mechanical and Automobile Engineering, School of Engineering and Technology (SoET), CHRIST (Deemed to be University), Bangalore, India, on 26th March, 2022.
19. Participated in “Early Career Researcher Training Programme on Presentation Skills and Research Proposal Writing”,12 days training programme, organized by Department of CSE, School of Engineering and Technology, Christ University, Kengeri Campus, Bangalore and sponsored by the Association of Commonwealth Universities (ACU), United Kingdom.
20. FDP : “Associate Analytics” in Business Process Management conducted by NASSCOM on Feb 25, 2022 (Friday). The 60 hr sessions were conducted in online mode.
21. Poster Presentation and attended a workshop in IISc, Bengaluru.
22. Smart City Stack and DevOps” conducted by “India Urban Data Exchange, IISc, Bengaluru.
23. Attended Hi-end Karyashala – SERB at IIITM-Gwalior, MP
24. Attended Hi-end Karyashala – SERB at IIIT Dharwad
Achievement if any
Poster selected and presented in IISc, Bengaluru
CONFERENCE and JOURNALS Reviewers, TPC Members
1. TPC Members in IEEE conference
2. Reviewers in IEEE conference (More than 21 conferences)
3. Soft Computing Research Society (SCRS)- Springer- all conferences TPC Members and Reviewers (Reviewer/Committee Member/Session Coordinator/Panel Discussion Coordinator).
4. Reviewers in Journals- SN Computer science(Scopus-Q1), Supercomputing (SCI-Q1), Scientific Reports(SCI-Q1) and PeerJ(SCI-Q1)
Papers Under review, Accepted,Presented, Proofreading
1. Journal Accepted in SCI Q1
2. Journal Under review(SCI, Scopus-Q1)
3. Journals Under Review SCI Q1
4. 7 Conference proceedings yet to Proofreading (Scopus and WoS).
Research Accounts
1.Scopus account: https://www.scopus.com/authid/detail.uri?authorId=57973192700
2. ORCID Account: https://orcid.org/0000-0002-4991-8475
3. Google Scholar: https://scholar.google.com/citations?user=p5OnMuwAAAAJ&hl=en
CONFERENCE and JOURNALS Reviewers, TPC Members
1. TPC Members in IEEE conference
2. Reviewers in IEEE conference (More than 21 conferences)
3. Soft Computing Research Society (SCRS)- Springer- all conferences TPC Members and Reviewers (Reviewer/Committee Member/Session Coordinator/Panel Discussion Coordinator).
4. Reviewers in Journals- SN Computer science(Scopus-Q1), Supercomputing (SCI-Q1), Scientific Reports(SCI-Q1) and PeerJ(SCI-Q1)
Papers Under review, Accepted,Presented, Proofreading
1. Journal Accepted in SCI Q1
2. Journal Under review(SCI, Scopus-Q1)
3. Journals Under Review SCI Q1
4. 7 Conference proceedings yet to Proofreading (Scopus and WoS).
Research Accounts
1.Scopus account: https://www.scopus.com/authid/detail.uri?authorId=57973192700
2. ORCID Account: https://orcid.org/0000-0002-4991-8475
3. Google Scholar: https://scholar.google.com/citations?user=p5OnMuwAAAAJ&hl=en
Basic Science and Humanities
- Mathematics
- Physics
- Chemistry
- Humanities
- Physical Education
MIT Kundapur
MITK offers a wide range of engineering programmes at undergraduate level and management program at post graduate level. It is located within the state-of-the-art campus at Moodlakatte, Kundapura in Karnataka.
- Moodlakatte Nagarathna Bhujanga Shetty Trust (Regd.) Moodlakatte, Kundapura Taluk Udupi District, Karnataka - 576217
IMJ Institutions
- Moodlakatte Institute of Technology
- Master of Business Administration
- Moodlakatte College of Nursing
- IMJ Institute of Science and Commerce
- Vidya Academy - Primary School
MNBS Trust
