Department of PG Studies and Research in Computer Science
There is growing demand for talented and skilled personnel in Computer Science to meet the present and future needs of the societal and research problems. In this background, Kuvempu University started MCA (Master of Computer Applications) course during 2000. Later in 2002, the Department offered M. Sc. in Computer Science. The M. Sc. in Computer Science is recognized by UGC and MCA is recognized by AICTE. These courses have subjects which are the combination of Pure and Applied Sciences. The students of M. Sc. Computer Science and MCA can take up Research or can become software professionals to meet the Industry need.
The main objective is to prepare the students with good skills, which are essential for software companies, educational institutions and Research. The department possesses good collection of books & good teaching staff. There are four permanent Assistant Professors in the department. The department trains students to fulfill the current needs of software companies and research. The Department has an excellent infrastructure equipped with modern teaching aids like LCD and overhead projectors. It has computer laboratories equipped with 60 Desktop computers with necessary accessories.
Intake for both the courses is fixed to 40 students including the quotas of NCC, NSS, Physically Handicapped, Sports, Hyderabad Karnataka, and merit cum payment. For the academic year 2015-16 the intake of M. Sc. Computer Science is increased to 44 students. The percentage of passing of MCA and M. Sc. courses is excellent with 100% result.
The department invites resource persons from reputed Multinational Companies (MNCs) and Academic Institutions to organize workshops based on emerging software tools & skills. The department conducts seminars, conferences, Workshops, Special Lecture series and Invited talks which provide a platform for industrial professionals, students, researchers and eminent scientists to discuss for mutual benefit.
The faculty members of the department are constantly upgrading their knowledge by attending various seminars, conferences, workshops, refresher courses, orientation courses and training programmes. The department has organized national conference on Advanced Computing and Communications (NCACC 12) during April 2012. Also the department has conducted three national workshops and one national seminar in the last five years.
Along with master degree courses the department also offers Research programme Ph. D. in Computer Science. Ph. D. programme intake is eight students for each guide. At present, the department is actively engaged in research in the areas of digital image processing, pattern recognition and data mining. The department has awarded more than 15 Ph. D. degrees in the last five years and the department has a publication of about 86 research articles in reputed national and international peer reviewed journals.
The students of the department are well placed in academic, administrative and software industries. Few became entrepreneurs in the field of IT. The alumni of the department are active. Many of the graduated students visit the department very often and a platform is being provided to guide and share their experience with the students of the department.
Vision
“To Provide Quality and Practical based IT Education and Training”
Mission & Goals
- Foster creativity in teaching, learning and research to build a practical knowledge
- Import Quality education and promote scientific temper
- Promote leadership qualities among students
- To impart up to date technical education to the students
- To develop social, moral, aesthetic & ethical value of the students
Chairman
Dr. YOGISH NAIK G R
Year of Establishment
2000
Address
Department of PG Studies & Research in Computer ScienceKuvempu University
Jnanasahyadri, Shankaraghatta-577451
Shimoga Dist., Karnataka State, INDIA +91(0)8282-256326 08282-256255 mca@kuvempu.ac.in
Teaching Faculty of Computer Science in Kuvempu University
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Dr. YOGISH NAIK G R ASSOCIATE PROFESSOR
Qualification:B.E, M.S, M.Phil, Ph.D,
Area of Specialisation: Software Engineering, Soft computing, Image Processing, Computer Cognition -
Dr. Prabhakar C J Professor
Qualification:M.Tech., Ph.D.,,
Area of Specialisation: Pattern Recognition, Computer and Machine Vision, Image and Video processing -
Dr. M. Ravikumar Professor
Qualification:B.E., M.Tech., Ph.D.,,
Area of Specialisation: Document Image Processing and Pattern Recognition. -
Dr. Suresha M. Associate Professor
Qualification:M.C.A., Ph.D.,
Area of Specialisation: Digital Image Processing,Pattern Recognition and Machine Learning -
Dr. Arun Kumar H. D. Guest Lecturer
Qualification:M.Sc., Ph.D.,,
Area of Specialisation: Computer Vision, Image and Video processing -
Ms. Divya Rani R Guest Lecturer
Qualification:M.C.A.,
Area of Specialisation: Algorithms -
Dr. Sandeep . Guest Lecturer
Qualification:MCA,. Ph.D,, KSET,.,
Area of Specialisation: -
Mr. Vidya Sagar S. D . Guest Lecturer
Qualification:M.C.A.,KSET.,
Area of Specialisation: Web Technologies,Information Security -
MS. NAMITHA R SHETTY Guest Lecturer
Qualification:,
Area of Specialisation: -
MS. ANANYA N.S Guest Lecturer
Qualification:,
Area of Specialisation: -
MS. PRATHIKSHA S.G Guest Lecturer
Qualification:,
Area of Specialisation: -
MS. CHAITHRA R.G Guest Lecturer
Qualification:,
Area of Specialisation:
Research Project of Computer Science in Kuvempu University
| Sl No | Title | Funding Agency | Principal Investigator | Co-Investigator | Amount | Status |
|---|---|---|---|---|---|---|
| 1 | Vision based solution for early diagnosis of cancer cells. A case study : Breast cancer | UGC | -Nil- | 38000 | Completed | |
| 1 | Building 3D Models of Underwater Objectss | Naval Research Board (NRB), DRDO, New Delhi, India | 3000000 | Completed | ||
| 2 | Representation of Facial Features Using Symbolic Data with Application to Face Recognition | AICTE | 660000 | Completed | ||
| 3 | A new symbolic Factorial Discriminant Analysis algorithm for Face Recognition under variable lighting | UGC | 38000 | Completed | ||
| 1 | Classification of Arecanut using Image Processing Techniques | Kuvempu University | Not Applicable | 50000 | Completedd |
| Sl No | Faculty | Name of the Supervisor | Name of the Ph.D. Scholar with Aadhaar number/Photo ID | Mode of Ph.D. | Registration Number | Date of Registration | Research Topic | Likely date of completion of Ph.D | Availing Fellowship | Funding Agency of Fellowship |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Science | Dr. Suresha M. | Shreekanth K N | Full Time | 266 | 2015-05-08 | Analysis of Diseases in Paddy Leaves: A Pattern Recognition Approach | 2018-05-08 | YES | Rajiv Gandhi |
| 2 | Science | Dr. Suresha M. | Harisha Naik T | Full Time | 276 | 2015-08-11 | Analysis of Image Texture using Soft Computing Techniques | 2019-08-11 | NO | - |
| 3 | Science | Dr. M. Ravikumar | OMAR ALI | Full Time | - | 2017-10-27 | - | 2020-10-27 | NO | - |
| 4 | Science | Dr. Suresha M. | Amani Ali Ahmed Ali | Full Time | 000 | 2017-11-01 | An Approach to Estimation of Skew and Recognition of Arabic Handwritten Script | 2020-11-01 | YES | Govt. of Amen |
| 5 | Science | Dr. Suresha M. | Chandrashekhara H | Full Time | 267 | 2015-05-08 | A Machine Learning Approach for Classification of Arecanut | 2018-05-08 | NO | - |
| 6 | Science | Dr. YOGISH NAIK G R | Manjunath | Part Time | 28 | 2022-07-20 | Digital Image Processing | 2026-07-20 | NO | - |
| 7 | Science | Dr. Suresha M. | Madhusudhan S | Full Time | 319 | 2016-06-11 | Reconstruction and Recognition of Objects in Digital Images with Reflections | 2019-06-11 | YES | Kuvempu University |
| 8 | Science | Dr. Suresha M. | Sandeep | Full Time | 320 | 2016-06-11 | Recognition of Salient Objects in Digital Images using Neural Networks | 2019-06-11 | YES | Vidya Sri Government of Karnataka |
| 9 | Science | Dr. Prabhakar C J | Shruthi S. | Part Time | 322 | 2016-06-11 | Shape descriptors for development of computer vision applications. | 2020-06-11 | NO | - |
| 10 | Science | Dr. Suresha M. | Kuppa S. | Full Time | 381 | 2017-10-27 | Deep Learning Approaches for Scenario Based Abnormality Detection in Video Surveillance System | 2020-10-27 | YES | Kuvempu University |
| 11 | Science | Dr. Suresha M. | Raghukumar D. S. | Full Time | 382 | 2017-11-01 | Design of Effective Methods for Micro Structural Texture Analysis: A Computer Vision Approach | 2020-11-01 | YES | Kuvempu University |
| 12 | Science | Dr. M. Ravikumar | Prashanth M C | Full Time | 384 | 2017-10-27 | Data Science | 2020-10-27 | YES | - |
| 13 | Science | Dr. Prabhakar C J | Vidyasagar S. D. | Part Time | 385 | 2017-10-27 | Vision based Lane Departure Warning Approach for Advanced Driver Assistance | 2021-10-27 | NO | . |
| 14 | Science | Dr. Prabhakar C J | SHRINIVASA S.R | Full Time | 386 | 2017-10-27 | A Novel Approach for Scene Image Classification | 2020-10-27 | YES | Kuvempu University |
| 15 | Science | Dr. M. Ravikumar | Rachana P G756295082109 | Part Time | 387 | 2017-10-27 | Medical Image Analysis | 2021-10-27 | NO | - |
| 16 | Science | Dr. M. Ravikumar | Shivakumar G 699997037834 | Full Time | 388 | 2017-10-27 | Handwritten document analysis | 2020-10-27 | YES | Kuvempu University |
| 17 | Science | Dr. M. Ravikumar | Shivaprasad B J 387649066722 | Full Time | 389 | 2017-10-27 | Medical Image Analysis | 2020-10-27 | YES | Kuvempu University |
| 18 | Science | Dr. Prabhakar C J | DivyaRani R. | Part Time | 390 | 2017-10-27 | Computer Vision based Techniques for Human Action Recognition | 2021-10-27 | NO | . |
| 19 | Science | Dr. M. Ravikumar | Sampath Kumar S272903857512 | Full Time | 395 | 2017-10-27 | Handwritten Document Analysis | 2020-10-27 | YES | Kuvempu University |
| 20 | Science | Dr. Prabhakar C J | Kiptanui Linus | Full Time | 415 | 2017-10-27 | Scene Text Recognition in Natural Scene Images | 2020-10-27 | NO | - |
| 21 | Science | Dr. YOGISH NAIK G R | Namitha R Shetty | Part Time | 624 | 2020-01-31 | Development of Reversible Data Hiding Techniques for Digital Images | 2024-01-31 | NO | - |
| 22 | Science | Dr. YOGISH NAIK G R | Kavya T M | Part Time | 625 | 2020-01-31 | Development of Learning based Super Resolution Techniques for Enhancement of Digital Images | 2024-01-31 | NO | - |
| 23 | Science | Dr. YOGISH NAIK G R | Amith G K | Part Time | 626 | 2020-01-31 | Construction of Frontal Face Image from Pose Invariant Face Images using Deep Learning Techniques | 2024-01-31 | NO | - |
| 24 | Science | Dr. YOGISH NAIK G R | Vidyasagar K B | Full Time | 627 | 2020-01-31 | Analysis of Microscopic Medical Images using Machine Learning Techniques. | 2023-01-31 | YES | Kuvempu University |
| 25 | Science | Dr. YOGISH NAIK G R | Shashidhara B | Part Time | 636 | 2020-01-31 | Enhancement of Historical Document images for Extraction of Textual Information | 2024-01-31 | NO | - |