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Dr. Manjunatha S


Designation : Professor

Area of specialization : Image Processing

Date of Joining BNMIT : 15/04/2024

Nature of Association (Regular/Contractual/Adjunct) : Regular

E-mail Id :manjunaths@bnmit.in

No. of years of Experience : 20 Years 06 Months

Department : Computer Science & Engineering

Qualification

DegreeInstitutionMonth & Year of

Passing

% of marks

obtained

Ph.D.

(CSE)

VTU, Belagavi, KarnatakaFEBRUARY 2023Awarded
M.Tech. (CSE)NMAMIT, NITTE, Mangaluru, VTU, Belagavi, KarnatakaMARCH 200463%
B.E.

(EEE)

Bapuji Institute of Engg. & Technology, Davanagere, Kuvempu University, Shivamogga, Karnataka.MARCH 200059%

Experience-20 Years 06 Months

SI. NoDesignationInstitution/Organization/CompanyDuration
1. ProfessorDepartment of CSE, BNM Institute of Technology, Bengaluru – 56007015/04/2024 – till date
2. ProfessorDepartment of ISE, Global Academy of Technology, Bengaluru – 56009817 Years
3.LecturerDepartment of Computer Science and Engineering, Coorg Institute of Technology, Ponnampet, South Kodagu2 Years 10 Months
4.LecturerDepartment of Computer Science and Engineering, STJIT, Ranebennur06 Months

 Awards and Achievements

  • Nil

 Invited Talks Delivered

  • NIl

Academic Positions and other Responsibilities (University Level)

  • Nil

Academic Positions and other Responsibilities (Institute and Department Level)

  • UNISYS

Reviewer at National/International Conference/Seminars

  • Nil

Professional Memberships

  • Nil

Expertise / list of Subjects handled

  • Analog and Electronics Circuits,
  • Logic Design, Microprocessors,
  • Electronics Circuits Data Communications,
  • Distributed Systems,
  • Software Engineering,
  • Operating Systems,
  • Computer Organizations,
  • Object Oriented Analysis Design and Modeling,
  • Client Server Computing,
  • Wireless Sensor Networks,
  • Management and Entrepreneurship,
  • Data warehousing and Data Mining,
  • Software Architecture and Design Patterns,
  • Unix System Programming,
  • Storage Area Networks,
  • Software Architecture,
  • Universal Human Values

Research Interest

  • Image Processing
  • Digital Forensics
  • Cloud Computing

Funding received

Nil

Papers Presented:

  1. Manjunatha. S, Shwetha M D, Aditya C. R “Convolutional Neural Network-based image tamper detection with Error Level Analysis” accepted in ISCComm-2023 MITE, Mangaluru.
  2. Ramya Prakash, Jyoti Neeli, Manjunatha S. “A Survey of Security Challenges, Attacks in IoT”, INTERNATIONAL RESEARCH JOURNAL OF SCIENCE ENGINEERING AND TECHNOLOGY, April 2023. conference ICRET 2023
  3. Manjunatha S, Malini M. Patil, “Deep learning-based Technique for Image Tamper Detection”, Proceedings of the Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2021). IEEE Xplore Part Number: CFP21ONG-ART; 978-0-7381-1183-4.
  4. Manjunatha S, Malini M. Patil,” Interpolation Techniques in Image Resampling”, 8th International Conference on Emerging Trends in Engineering (ICETE – 2018),14th – 15th May 2018 at NMAMIT, Nitte, Mangalore.
  5. Manjunatha S, “A Survey on Active Image Forgery Detection Techniques”, National Conference on Recent Innovations in Computing Technologies, 19th may 2017, GAT, Bengaluru, Karnataka.

Journal Publications:

  1. S, Malini M Patil, Swetha M D, S S Prabhu,” Tampering Detection and Segmentation Model for Multimedia Forensic” International Journal of Advanced Computer Science and Applications (IJACSA), Volume 14, Issue No. 9, 2023, Pages 878-887, September 2023. DOI:10.14569/IJACSA.2023.0140992
  2. Manjunatha Shivanandappa, Malini M. Patil, “Extraction of image resampling using correlation aware convolution neural networks for image tampering detection” International Journal of Electrical and Computer Engineering (IJECE) Vol. 12, No. 3, June 2022, pp. 3033~3043 ISSN: 2088-8708, DOI: 10.11591/ijece. v12i3. pp3033-3043.
  3. Manjunatha S, Malini M. Patil, “Efficient resampling features and convolution neural network model for image forgery detection” Indonesian Journal of Electrical Engineering and Computer Science Vol. 25, No. 1, January 2022, pp. 183~190 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v25.i1.pp183-190.
  4. Manjunatha S, Malini M. Patil,” Tampering Detection using Resampling Features and Convolution Neural Networks”, Turkish Journal of Computer and Mathematics Education Vol.12 No. 11 (2021), 2791- 2800.
  5. Manjunatha S, Malini M. Patil, “Interpolation Techniques in Image Resampling”, International Journal of Engineering & Technology, 7 (3.34) (2018) 567-570.
  6. Manjunatha S, Malini M. Patil, “A Survey on Image Forgery Detection Techniques”, CiiT International Journal of Digital Image Processing, Vol 9, No 5, May 2017.

Conference Proceedings:

  1. Manjunatha S, Swetha M D, Mallikarjuna Swamy S, Rashmi S, Ananda Kumar Subramanian, Vinoth Kumar V, Convolutional Neural Network-based image tamper detection with Error Level Analysis, 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), DOI: 1109/IITCEE59897.2024.10467563
  2. Manjunatha S B M Kavya, N Sharmila, K B Naveen, S Mallikarjunaswamy, K S Manu, A Machine Learning based Smart Grid for Home Power Management using Cloud-Edge Computing System, 2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET), 10.1109/ICRASET59632.2023.10419952.
  3. Ramya Prakash, Jyoti Neeli, Manjunatha S. “A Survey of Security Challenges, Attacks in IoT”, INTERNATIONAL RESEARCH JOURNAL OF SCIENCE ENGINEERING AND TECHNOLOGY, April 2023. conference ICRET 2023
  4. Manjunatha S, Malini M. Patil, “Deep learning-based Technique for Image Tamper Detection”, Proceedings of the Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2021). IEEE Xplore Part Number: CFP21ONG-ART; 978-0-7381-1183-4.
  5. Manjunatha S, Malini M. Patil,” Interpolation Techniques in Image Resampling”, 8th International Conference on Emerging Trends in Engineering (ICETE – 2018),14th – 15th May 2018 at NMAMIT, Nitte, Mangalore.
  6. Manjunatha S, “A Survey on Active Image Forgery Detection Techniques”, National Conference on Recent Innovations in Computing Technologies, 19th may 2017, GAT, Bengaluru, Karnataka.

Patents:

  • Application and Patent No. .202121010624 A
  • International Classification: A61B0005042800
  • The Patent Office Journal, India: Journal No. 12/2021 Dated 19/03/2021
  • Title of the invention:” ARTIFICIAL INTELLIGENCE BASED CARDIAC ARRHYTHMIA  DETECTION IN HEART PATIENTS”

Participation in Training courses/Seminars/Workshops:

  • Attended 2 weeks faculty development program on “Opportunities and Challenges in Entrepreneurship,” sponsored by NSTEDB, DST, and GoI from January 3rd, 2024, to January 19th, 2024.
  • Participated in the 2 Weeks Virtual DST, NEB Sponsored Faculty Development Program on “Entrepreneurship and Innovation” from 2nd November 2023 to 16th November 2023, Jyothi Institute of Technology, Bengaluru, Karnataka.
  • Attended 5-day faculty development program on “Introduction to Cyber Security” from 22nd to 26th May 2023 organized by AICTE-VTU, CPGS, Muddenahalli. Chikkaballapur, Karnataka.
  • Attended 5-day faculty development program on “Thrust areas in Artificial Intelligence: A Multidisciplinary Approach” held on Feb 7th to Feb 11th, 2022 organized by Department of ISE, JSSATE Bengaluru – 560060.
  • Faculty Development Program on ‘Cyber Security and Block chain’, sponsored by AICTE- ATAL at Global Academy of Technology, Bengaluru, from 13th – 18th December, 2021
  • Faculty Development Program on ‘Mobile Application Development’, at Global Academy of Technology, Bengaluru, from 15th -17th March 2021
  • Attended 2-Weeks Short Term Training Programme (STTP) on Focuses on Learning the Scope of Security Aspects and Applications organized by the Department of Information Science & Engineering, NMAM Institute of Technology, Nitte during 22-31 July 2021.
  • Attended 5-day online FDP on the theme “Inculcating Universal Human Values in Technical Education” organized by All India Council for Technical Education (AICTE) from 13 September, 2021 to 17 September, 2021.

Hobbies

 

Sports 

 

Music

 

Any other things