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Faculty Profile

Dr. Manjunath Ramanna Lamani

  • Associate Professor, HOD of CSE
  • CSE-BE,MTech,Ph.D. and (PDF)

Designation

Associate Professor, HOD of CSE

Department

Computer Science and Engineering

Educational Qualifications

CSE-BE,MTech,Ph.D. and (PDF)

Email ID

manjunathr@mitkundapura.com

Experience

11 Years

Professional membership

1. IEEE 2026 Professional Member
2. IEEE 2026 Young Professional Member
3. SCRS 2026 TPC
4. IEEE 2026 Computer Society

Area of Interest

Deep Learning, Machine Learning, Medical Image Processing, Security, Computer Networks, VANET, NLP , C Programming and Python.

Paper Published

1. Mukku, Lalasa; Lamani, Manjunath Ramanna; Hegde, Lavanya; Mahapurush, Prathima; Mahapurush, Shivanandaswamy, “Artificial intelligence model for precise cervical cancer cell boundary denoising and segmentation with adaptive wavelet-spectral enhancement,” International Journal of Advances in Intelligent Informatics, vol. 12, no. 1, 2026.
2. Vaithianathan, Krishnakumar; Pernabas, Julian Benadit; Lamani, Manjunath Ramanna; Venkatachalam, K.; Askar, S. S.; Abouhawwash, Mohamed, “Pearson correlation-based clustering with collaborative task allocation in 5G Industrial Internet of Things divergent health networks,” Scientific Reports, vol. 15, no. 1, p. 43344, 2025.
3. Malagi, Vindhya P.; Lamani, Manjunath Ramanna; Krishna Suresh, B. V. N. V.; Sahana Lokesh, R.; et al., “Intelligent intrusion detection system for cloud computing with Parrot optimization and attention-based Bi-LSTM,” International Journal of Information Technology, Springer, 2025.
4. Mukku, Lalasa; Burri, Vikas; Lamani, Manjunath Ramanna, “Artificial Intelligence-Driven Lumbar Stenosis Diagnosis: A Deep Learning Pipeline for MRI-Based Segmentation and Classification,” 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), pp. 240–244, 2025.
5. Mukku, Lalasa; Burri, Vikas; Lamani, Manjunath Ramanna, “A Hybrid Deep Learning Model Using U-Net and Vision Transformer for Artificial Intelligence Powered Cervical Stenosis Diagnosis,” International Conference on Computer Vision and Robotics, Springer Nature Switzerland, pp. 243–253, 2025.
6. Lamani, Manjunath Ramanna; Mukku, Lalasa; Asha, V.; Padmaja, K., “A multimodal diagnostic approach,” Fifth Congress on Intelligent Systems (CIS 2024), Springer Nature, vol. 4, p. 1, 2025.
7. Lamani, Manjunath Ramanna; Asha, V.; Padmaja, K., “Leveraging Deep Learning for Early Detection of Autism Spectrum Disorder in Augmented and Virtual Reality Mental Healthcare Environments,” Augmented and Virtual Reality in Immersive Healthcare, John Wiley & Sons, pp. 151–173, 2025.
8. Silambarasan, E.; Naresh, E.; Asha, V.; Lamani, Manjunath Ramanna, “Energy efficient heterogeneous clustering scheme using improved golden eagle optimization algorithm for WSN-based IoT,” International Journal of Information Technology, vol. 17, no. 3, pp. 1753–1760, 2025.
9. Shilpa, B. L.; Padmaja, K.; Lamani, Manjunath Ramanna; Keerthana, M. M., “IoT-Based Traditional Organic Implementation of Jeevamrutha Using Image Processing,” 2025 Second International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC), IEEE, pp. 97–102, 2025.
10. Lamani, Manjunath Ramanna; Benadit, P. Julian; Guruprasad, C., “Approach for Brain Region Segmentation and Classification Using Deep Learning,” Computing and Machine Learning: Proceedings of CML 2024, Springer Nature, vol. 2, p. 373, 2025.
11. Reshma, S.; Chennakesavulu, M.; Patil, Shweta Sidagounda; Lamani, Manjunath Ramanna, “Efficient feature fusion model with modified bidirectional LSTM for automatic Parkinson’s disease classification,” International Journal of Information Technology, vol. 16, no. 6, pp. 3963–3971, 2024.
12. Lamani, Manjunath R.; Pernabas, Julian Benadit, “A thorough review of deep learning in autism spectrum disorder detection: From data to diagnosis,” Recent Advances in Computer Science and Communications, vol. 17, no. 8, pp. 73–91, 2024.
13. Lamani, Manjunath Ramanna; Padmaja, K.; Shilpa, B. L.; Asha, V., “Enhanced Lumpy Cattle Skin Disease Prognosis via Deep Learning Methods,” 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON), IEEE, pp. 1–6, 2024.
14. Lamani, Manjunath Ramanna; Padmaja, K.; Asha, V.; Somesha, M.; Shilpa, B. L.; Anand, M., “Leveraging Natural Language Processing for Enhanced Pharmacovigilance in Reproductive Health,” Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods, Springer Nature Singapore, pp. 143–155, 2024.
15. Lamani, Manjunath Ramanna; Benadit, P. Julian; Guruprasad, C., “Advandnn: Deep neural network analysis of neuroimaging for identifying vulnerable brain regions in autism spectrum disorder,” International Conference on Power Engineering and Intelligent Systems (PEIS), Springer, pp. 497–510, 2024.
16. Lamani, Manjunath Ramanna; Benadit, P. Julian; Guruprasad, C., “Enhancing Diagnostic Accuracy for Autism with BRCNet: A Novel Approach for Brain Region Segmentation and Classification Using Deep Learning,” International Conference on Computing and Machine Learning, Springer, pp. 373–385, 2024.
17. Lamani, Manjunath Ramanna; Mukku, Lalasa; Asha, V.; Padmaja, K., “Enhancing early detection of Alzheimer’s disease through integrated deep learning models: a multimodal diagnostic approach,” Congress on Intelligent Systems, Springer, pp. 1–11, 2024.
18. Asha, V.; Lamani, Manjunath Ramanna; Padmaja, K.; Gondhale, T. A., “Enhancing diabetes prediction accuracy with AdvanSVM: A machine learning approach using the PIMA dataset,” Seybold Report Journal, vol. 19, no. 05, pp. 51–72, 2024.
19. Sarkar, Sarnali; Lamani, Manjunath Ramanna; Vinodha, D., “Integrating Simple Temporal Attention for Improved Video Summarization,” International Conference on Information Technology and Intelligence, Springer, pp. 217–231, 2024.
20. Lamani, Manjunath Ramanna; Benadit, P. Julian, “An Early Detection of Autism Spectrum Disorder Using PDNN and ABIDE I&II,” Artificial Intelligence: Theory and Applications, Springer, vol. 2, p. 295, 2024.
21. Lamani, Manjunath Ramanna; Benadit, P. Julian, “A Review on Deep Learning Algorithms in the Detection of Autism Spectrum Disorder,” Fourth Congress on Intelligent Systems, Springer, vol. 3, p. 283, 2024.
22. Lamani, Manjunath Ramanna; Benadit, P. Julian; Vaithinathan, Krishnakumar, “Autism Spectrum Disorder: Automated Detection based on rs-fMRI images using CNN,” 2023 IEEE International Conference on Contemporary Computing and Communications (InC4), vol. 1, pp. 1–5, IEEE, 2023.
23. Lamani, Manjunath Ramanna; Benadit, P. Julian; Vaithinathan, Krishnakumar, “Multi-atlas graph convolutional networks and convolutional recurrent neural networks-based ensemble learning for classification of autism spectrum disorders,” SN Computer Science, vol. 4, no. 3, p. 213, Springer, 2023.
24. Lamani, Manjunath Ramanna; Benadit, P. Julian, “Automatic diagnosis of autism spectrum disorder detection using a hybrid feature selection model with graph convolution network,” SN Computer Science, vol. 5, no. 1, p. 126, Springer, 2023.
25. Lamani, Manjunath Ramanna; Benadit, P. Julian, “An early detection of autism spectrum disorder using PDNN and ABIDE I&II dataset,” International Conference on Artificial Intelligence on Textile and Apparel, Springer, pp. 295–310, 2023.
26. Lamani, Manjunath Ramanna; Benadit, P. Julian, “A review on deep learning algorithms in the detection of autism spectrum disorder,” Congress on Intelligent Systems, Springer, pp. 283–297, 2023.
27. Lamani, Manjunath Ramanna; Benadit, P. Julian; Vaithinathan, Krishnakumar; Parthiban, Latha, “An efficient security-enabled routing protocol for data transmission in VANET using blockchain ripple protocol consensus algorithm,” Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations, Springer, pp. 253–264, 2023.
28. Patil, Manoj A.; Parane, Khyamling; Sivaprasad, D. D.; Poojara, Shivananda; Lamani, Manjunath Ramanna, “Smart attendance management system using IOT,” 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), pp. 1–6, IEEE, 2022.
29. Srinivasa Rao, G.; Arur, Panem Charan; Lamani, Manjunath Ramanna, “ARSM hybrid hash algorithm based optimal solution approach and implementation for improved cloud security defensive mechanism.”
30. Srinivasa Rao, G.; Arur, Panem Charan; Lamani, Manjunath Ramanna, “Amalgamated Cloud AI: Transpiring Revolution in Broadband Cellular Network Standards.”
31. “Artificial intelligence model for precise cervical cancer cell boundary denoising and segmentation with adaptive wavelet-spectral enhancement.”

Patent filed/granted/published

1. AUTISM DETECTING DEVICE Inventor(s): Manjunath Ramanna Lamani, Asha V, Padmaja K, Shilpa B L, Maria Rufina P, Harshitha B Assignee: | Published: 2025-02-21
2. AI based camera for Detecting Intruders Inventor(s): Sowmya T, Lalasa Mukku, Manjunath Ramanna Lamani, Padmaja K, Somesha M, Asha V, Poorani Marimuthu Assignee: Sowmya T | Published: 2023-09-01
3. GPRS, Sensor and IOT Based Travel Bag Inventor(s): Manjunath Ramanna Lamani Assignee: GSSS Institute of Engineering for Women | Published: 2023-09-01
4. Inventor(s): Dr. Manjunath Ramanna Lamani, Zameer Ahamed H M, Prashantaditya Naik, Gayatri Madeva Devadiga, G Vannurswamy Assignee: Same as Inventors
5. Synergistic AI–IoT Framework for Cognitive Machine Systems Utility Patent: 20264104089

Book Published

1. Deep Learning with Python: 978-93-5757-638-3 – Scientific International Publishing House – Author(s): Manjunath Ramanna Lamani, Padmaja K, Somesha M, Asha V, Deepa Pattan | Published: 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(s): Padmaja K, Manjunath Ramanna Lamani, Asha V, Somesha M, Amaresh A M | Published: 01-09-2023. https://sipinternationalpublishers.com/product-detail.php?PID=MTU1NQ
3. Python Programming: 978-93-5757-799-1 – Scientific International Publishing House – Author(s): Dr. Gurukumar Lokku, Manjunath Ramanna Lamani, Shilpa B L, Padmaja K | Published: 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

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

Achievement if any

1. Poster selected and presented in IISc, Bengaluru
2. Served as Resource Person for the session “Turning Ideas into Publications: A Beginner’s Guide to Research Writing,” organized by the IT & Coding Club, IMJ Institute of Science & Commerce.
3. Invited as a Guest Speaker and recognized for contributions to the education sector at the Lamani Cultural Event, organized with the support of Loyola Vikasa Kendra and Loyola Education, Mundugod.

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. 4 papers are under review in international journals.
2. 6 conferences presented and waiting for proofreading.

Research Accounts

1. Web of Science: https://www.webofscience.com/wos/author/record/NXY-5548-2025
2. Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57973192700
3. Google Scholar ID: https://scholar.google.com/citations?user=p5OnMuwAAAAJ&hl=en
4. ResearchGate ID: https://www.researchgate.net/profile/Manjunath-Lamani-2
5. ORCID ID: https://orcid.org/0000-0002-4991-8475
6. Profile URL VIDWAN: https://vidwan.inflibnet.ac.in/profile/599906

Academics

Engineering Department

Basic Science and Humanities

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.

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Message from the Director of Technology Incubator Centre at MIT Kundapura

It is giving me immense pleasure to write about the Technology Business Incubator (TBI) at MITK. With the introduction of Startup India, Standup India and various government schemes, the entrepreneurial environment in the country has become more conducive and favourable to budding entrepreneurs. And to uplift this spirit, the TBI here at MIT Kundapura plays a great role.

TBI is a vibrant place for entrepreneurs, innovators and next-generation thinkers, who are ready to take up challenging problems in society and transform their Ideas around it into viable solutions in terms of products and services, thereby creating jobs and livelihood for people along with following their passion for entrepreneurship.

As a Technology Business Incubator, we have some of the best facilities in the Karavali region to host startups from various Industrial domains such as Tech, Fintech, Agritech, IT, Mechatronics, etc. and mentor and nurture them. we have high-end computing facilities, modern workspace, Library & information centre, 3D printers and other necessary equipment and facilities, training and conference facilities, etc. to name a few. TBI conducts various entrepreneurial sessions, seminars and conferences for startups. It also connects the right industrial mentors which best suited for the budding startups and call for various funding meetups & rounds and pitch deck presentations for getting financial support from government and private investors.

TBI is open to anyone who envisaged transforming the world, by bringing about significant changes in the world through entrepreneurship. I heartily welcome all those who aspire to become next-generation entrepreneurs and want to shape their ideas into products in the country, to pay a visit to our incubation centre and join and become part of the TBI family.

FACULTY

Mr. Bhuneshwar P

Director, Technology Business Incubator

Assistant Professor of Physics, BSH