KLE Institute of Technology, Hubballi 580 027

Faculty Profile

Dr. Medha Kudari

B.Sc., M.Sc.(CS), M.Phil., NET, KSET, Ph.D.(CS)

1. Educational, professional qualifications, and Training

1.1. Educational Qualification

Sl. Degree University / Year of Class

Discipline
No. College passing obtained
a) Ph.D Karnatak University, 2019
Dharwad Computer Science Not applicable

b) NET Not applicable Computer Science Nov 2017

and Applications Not applicable

c) SET Not applicable Computer Science Dec 2017

and Applications Not applicable

d) M.Phil Alagappa University, 2013

Karaikudi, Tamil Computer Science First Class
Nadu
e) Master of Mangalore University Computer Science 2005 First Class
Science with
Distinction
f) Bachelor of Mangalore Physics, 2003 First Class
Science University Mathematics,
Computer Science

1.2. Training programs attended

S.N. Subject Area of Training Organization Place Period /

Duration
1) Cyber Security and Privacy NPTEL
Jul-Oct 2024

2) Object Oriented System Development NPTEL Jan – Apr

using UML, Java and Patterns 2023
 KLE Institute of Technology, Hubballi 580 027
Faculty Profile
3) Learning Python for Data Analysis and Udemy
Nov 21 2022
Visualization

4) Research challenges and application in School of Electronics

Visual Intelligence and Communication 21st Nov 2022
Engineering, KLE to 29th Nov
Technological 2022
University, Hubballi

5) IoT Induced Artificial Intelligence for Dr B R Ambedkar

04-08 October,
Emerging Computing Paradigms National Institute of
2022
Technology, Jalandhar

6) Cyber Security: Managing Risk in the Dr B R Ambedkar

October 12 -
Information Age National Institute of
16, 2022
Technology Jalandhar

7) Artificial Intelligence for COVID-19 IEEE North Karnataka

Recognition Subsection 05 Feb 2022

8) IP Awareness / Training Program Intellectual Property

Office, India June 09 2022

9) Blockchain and its Applications NPTEL and AICTE January –

April 2022

10) Introduction to Internet of Things NPTEL-AICTE July – Oct

2021

11) Machine Learning with MATLAB MathWorks

27 May 2021

12) Deep Learning with MATLAB MathWorks

11 June 2021

13) Deep Learning Onramp MathWorks

31 May 2021

14) Designing and Modelling of IOT, AI AICTE and Arm

01st to 05th
and ML Systems Education and
August, 2022
STMicroelectronics

15) Mathematics in Artificial Intelligence, Dept. of Computer

1st to 5th
Machine Learning and Deep Learning Science and Engg,
September,
for Faculty and Practitioners KLE Institute of
2021
Technology, Hubballi
 KLE Institute of Technology, Hubballi 580 027
Faculty Profile
16) Examination Reforms Workshop AICTE and Chitkara
08th to 10th
University,
July, 2021
Chandigarh, Punjab

17) Regional Research Symposium on Karnataka State

PBL 2021 Higher Education
18th and 19th
Council, Alborg
June 2021
University and
UNESCO

18) Machine Learning Indian Institute of

23rd to 27th
Information
July, 2018
Technology, Dharwad

19) Recent Trends in Image Processing S.D.M. College of

Engineering and 17th to 18th
and Machine Learning based on
Technology, Dharwad Feb, 2017
Mathematical Modeling

20) Mentors Mentee System P.C. Jabin Science 16th March,

College, Hubballi 2014

21) Deep Dive Faculty Enablement Infosys Technologies

Program for Elective offering Ltd., at School of
18th July to
“Business Intelligence and its Engineering and
22nd, 2011
Technology, Jain
Applications”
University, Bangalore

22) Deep Dive Faculty Enablement Infosys Technologies 31st Jan to 4th
Program Ltd., Mysore Feb, 2011

23) Workshop on JEE technology AIMIT, St Aloysius 11th to 12th

College, Mangalore Nov, 2010

24) Faculty Development Program on Dept. of Information

5th to 7th
Linux Administration Science and Engg,
Aug, 2010
NMAM IT, Nitte

25) Staff Development Program on Dept. of Computer

27th to 29th
Embedded Computing Systems Science and Engg,
Aug, 2009
NMAM IT, Nitte

26) Lecture workshop on Nanoscience IAS, INSA and NAS,

and Technology at Yenepoya 23rd to 24th
University Campus, March, 2009
Mangalore
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Faculty Profile
27) Workshop on Microsoft .NET Microsoft and BITES,
at Srinivas Institute of 5th to 7th
Technology, Valachil, March, 2009
Mangalore

28) Workshop on J2EE Application Infosys Technologies

22nd to 23rd
Architecture Ltd, at St.Aloysius
Dec, 2008
College, Mangalore

29) Storage Technology Foundations EMC Global Service

15th Dec,
Technical Training,
2006
Bangalore

30) J2EE NIIT, Bangalore 5th May,

2006

1.3. Membership of National and International Professional Bodies/Organisations

S.N. Name of Professional Body/Organization Place Membership Category
a) IEEE Membership Bangalore 92189134
b) IFERP Membership Bangalore

c) International Association of Engineers Hong Kong

(IAENG)
1.4. Technical Papers/Books Published in National / International Events / Journals
a) Medha Kudari, Anupama Nandeppanavar, Harish Kulkarni, Musical Chord Identification
using Deep Learning Methods, IEEE Transactions on Computers, (communicated in Oct
2024)
b) Medha Kudari, Anupama S Nandepannavar, Puneeth Thotad, Sahana Jatti, Sahana Koti, A
Machine Learning based approach for Bird Migration Detection and feature analysis with
SHAP. 2024 IEEE North Karnataka Subsection Flagship International Conference (NKCon)
c) Medha Kudari, Anupama S Nandeppanavar, Prasanna Bammigatti, & Kaveri Vakkund.
(2024). A machine learning-based food recommendation system with nutrition
estimation. International Journal of Data Analysis Techniques and Strategies, 16(4), 487-507.
https://doi.org/10.1504/IJDATS.2024.142485
d) Medha Kudari, Anupama S Nandeppanavar, Spandana Suzan Korrapaty, “Vegetable
Classification using Deep Learning Approach”, IEEE North Karnataka Conference, November
19-20, 2023 doi: 10.1109/NKCon59507.2023.10396111.
e) Medha Kudari, Anupama S Nandeppanavar, Preeti Hiremath, “Deep Learning Approach for
Fruits Classification”, International Conference on Artificial Intelligence and Data Science,
October 27-28, 2023.
f) Medha Kudari, Veena Kumashi, Anupama S Nandeppanavar, “Kidney Disease
Classification”, International Conference on Artificial Intelligence and Data Science, October
 KLE Institute of Technology, Hubballi 580 027
Faculty Profile
27-28, 2023.
g) Medha Kudari, Manjunath Naikar, Anupama S Nandeppanavar, “Lumpy Skin Disease
Detection using GUI based Deep Learning Model in Cattle”, International Conference on
Ubiquitous Computing and Intelligent Information Systems, September 1-2, 2023
h) Medha Kudari, Sanjay Garag, Anupama S Nandeppanavar, “Cancer disease prediction using
machine learning algorithms”, International Journal of Scientific Research in Computer
Science and Engineering, Dec 2022
i) Medha Kudari, Shivani Kittur, Anupama S Nandeppanavar, Laxmi Pujari, “Automation of
Dairy Farm for Effective Cattle Management”, Journal of Web Development and Web
Designing, Sept-Dec 2022
j) Medha Kudari, Sakshata Hindasgeri, Anupama S N, “Process Automation of Sugarcane in the
Sugar Industry”, Journal of Computer Science Engineering and Software Testing, Sept-Dec
2022
k) Medha Kudari,Samarth Kulkarni, Anupama S N, ( Sept-Dec 2022), “Congregation of News in
a Digitized World using News Angle”, Journal of Computer Science Engineering and
Software Testing, 2022
l) Kudari, M., Shivashankar, S., & Hiremath, P. S. (2020). Illumination and Rotation Invariant
Texture Representation for Face Recognition. International Journal of Computer Vision and
Image Processing (IJCVIP), 10(2), 58-69.
m) Shivashankar S., Kudari M., Hiremath S.P. (2021) Offline Signature Verification Using
Galois Field-Based Texture Representation. In: Verma G.K., Soni B., Bourennane S.,
Ramos A.C.B. (eds) Data Science. Transactions on Computer Systems and Networks.
Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_17
n) Shivashankar, S. & Kudari, M., (2019, March): Offline Signature Verification using Galois
Field based Texture Representation. In 1st International Conference on Machine Learning,
Image Processing, Network Security and Data Sciences (MIND 2019), National Institute of
Technology, Kurukshetra
o) Shivashankar, S. & Kudari, M., (2018, December): Scale Invariant Texture Representation
using Galois Field for Image Classification. In International Conference on Recent Trends in
Image Processing and Pattern Recognition 2018, Solapur University.
p) Shivashankar, S., Kudari, M., & Hiremath, P. S. (2018). A Galois Field based Texture
Representation for Face Recognition. International Journal of Applied Engineering
Research, 13(18), 13460-13465.
q) Shivashankar, S., Kudari, M., & Hiremath, P. S. (2018). Galois Field-based Approach for
Rotation and Scale Invariant Texture Classification. International Journal of Image, Graphics
and Signal Processing (IJIGSP), 10(9), 56-64.
r) Shivashankar, S., Kudari, M., & Hiremath, P. S. (2017, December). Texture Representation
Using Galois Field for Rotation Invariant Classification. In 2017 13th International
Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 237-240).
IEEE.
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Faculty Profile

1.5. Language skills (ability to) Speak Read / Write

Kannada Kannada
Hindi English
English Hindi
Konkani

2. Employment Information and Professional Experience till date (provide latest to first).
2.1. Employment Information:

a) Job title Assistant Professor

Employer KLE Institute of Technology

Dates (from to) 28-12-2020 to till date

Responsibilities ISO coordinator, Dept Placement coordinator

b) Job title Assistant Professor
Employer Global Academy of Technology, RR Nagar, Bengaluru
Dates (from to) 07/Sep/2020 to 17/Dec/2020
Responsibilities --
c) Job title Assistant Professor
Employer KLE Institute of Technology, Gokul Road, Hubballi
Dates (from to) 13/Aug/2019 to 07/Jul/2020
Responsibilities Association coordinator
d) Job title Lecturer
Employer P.C. Jabin Science College, Vidyanagar, Hubballi
Dates (from to) 02/Jul/2012 to 31/Mar/2015
Responsibilities --
e) Job title Assistant Professor
St. Aloysius Institute of Management and Information
Employer Technology, St. Aloysius College, Mangalore
Dates (from to) 03/Jul/2006 to 30/May/2012
Responsibilities CIE coordinator, Placement coordinator
2.2. Public Service & Volunteer
Work
a)
b)
 KLE Institute of Technology, Hubballi 580 027
Faculty Profile
2.3. Other professional achievements such as awards, special skills, etc.
a) Expert Reviewer for International Conference on Innovation December 2024
& Novelty in Engineering and Technology (INNOVA-2024)
b) Expert Reviewer for IEEE North Karnataka Subsection September 2024
Flagship International Conference (NKCon)
c) IEEE CONIT 2024 Session Chair June 2024

d) Women Welfare Committee – coordinator 2023-24

3. Any other information

3.1. Strengths Image Processing, Programming, Good Learner and
Team player
4. General information
4.1. Name Medha Kudari
4.2. Gender Female
4.3. Nationality Indian
4.4. Date of birth 27-02-1982
4.5. Contact address H.No. 24, 3rd Cross, Renuka Nagar, Gokul Road,
Hubballi 580030
4.6. Phone / mobile number 9448801627
4.7. Email medha.k27@gmail.com

05-12-2024 Dr. Medha Kudari

Date Signature