Information of the department The Department of Information Science was started in the year 2000 with the main objective of creating skilled man power in the field of Information Technology. Over the years the department has established itself as an excellent center and enjoy high ranking among among the best. The department has faculty members with outstanding academic records. Most of the faculty members have gained experience at well known universities in Asia, Europe & USA. The department offers four years undergarduate program in INformation science & two years master program in Software Engineering. One of the principle aim of the department is to involve in inter-disciplinary collaborative research and create solutions that will have immense impact for the future. The faculty of Information Science & Engineering department have earned very good appreciation from the students and among the technical community. The departmenton has collaboration with NOKIA university relation in Finland and supports wide varities of activities in mobile innovation filed. The department is all set to establish a new research facility in the filed of Computational Biology whose aim is to innovate solutions on critical problems at the level of proteins & genes that lead to detection of diseases by making use of efficient machine learning procedures In order to provide non curricular activities, the department has set up three clubs 1. Natures Club 2. Technical Club 3. Social Club These clubs will provide platforms for the students & staff to explore the talents and provide platforms for recreation. The department aims to provide multidimensional growth for every students admitted to the programs offered. Academic programs The Department offers the following acedemic programs: Course-work oriented programs 4-year B.E program 2-year M.Tech program
Research programs Ph.D. program: in computer science & Engineering under JSS Research Foundation, Mysore Course Oriented Programs BE program: The BE program is a four-year course oriented undergraduate program. The course work is spread accross all the 8 semesters. The courses include a set of core courses offered by the department, some free electives. Each batch of students max of 4 and min of 2 per batch must start working towards a project in the seventh semester and finally complete the projects towards the fulfillment of the degree requirements. M.Tech. program: The M.Tech. program is a two-year course oriented graduate program. The student has to take a set of core courses and a set of electives. The course work is spread accross the first two semesters with an option of taking two electives in the first and second semesters. This is followed by an industrial training in the third semester and start of an individual project in the fourth semester in which the student can take up a project of his or her interest, supervised by a faculty member. Faculty teaching NAME DESIGNATION Research areas Dr. T. N. Nagabhushan Dr. B. S. Mahananda Professor Head of the Department Asst.Professor Nueral networks, Machine learning Machine Learning, Image processing Dr. D. S. Vinod Asst.Professor Machine Learning, Image processing R. J. Prathibha Asst.Professor Natural language processing Anandraj Ulle Asst.Professor Computational biology, Machine learning S. P. Shivaprakash Asst.Professor 3g networking and communications P M Shivamurthy Asst.Professor Computational biology, Machine learning Dr.Harish B S Asst.Professor Text clustring, Image processing Vanishree Arun Asst.Professor B V Shilpa Asst.Professor Image processing, Machine learning Vani Manju N Asst.Professor Asst.Professor
Non Teaching Name Somashekar A Phaneendra kumar R Raju G Rathod C.V Vinodkumar Shubangini Designation Mechanic Mechanic Mechanic Computer operator Stenographer Research projects 2011 1. Web Image Retrieval using Clustering Approaches, Umesh K K and Suresha, International Symposium on Devices MEMS Intelligent Systems and Communications ISDMISC2011, 12-14 April, Majhitar, Sikkim, 2011. 2010 2. A Modified Training Scheme to Self Organizing Feature Map to Cluster Multispectral Images, D.S. Vinod and T.N. Nagabhushan, International Journal of Signal and Imaging Systems Engineering. Issue 1, Volume 3, pages 31-39, 2010. 3. Region Based Color Histogram Features for Efficient Web Image Retrieval, Umesh K K and Suresha, Journal of Computing, ISSN: 2151-9617, Volume 2, Issue 9, September 2010. 2009 4. Color and Region Based Web Image Classification for Image Search Engine, Umesh K K and Suresha, Int. J. of Computer Science and Information Technology, ISSN 0974-8385, Volume 2, Number 2, pp. 235-240, 2009.
5. Performance of auto-configuring RBF networks trained with significant patterns T N Nagabhushan, S K Padma and Bhanu Prasad, Int. J. Signal and Imaging Systems Engineering, 2009, Vol. 2, Nos. 1/2, pp 41-50, DOI 10.1504/IJSISE.2009.029328. 6. Color and Region Based Web Image Classification for Image Search Engine, Umesh K K and Suresha, INSIGHT 09, National Conference on Computer Science and Information Technology, 25-26 th November 2009, Trissur, Kerala. 7. Color and Texture Based Image Search Engine for World Wide Web, Umesh K K and Suresha, 4 th Indian International Conference on Artificial Intelligence IICAI-09, 16-18 December 2009, Tumkur, India. 8. On the Computation of Width of Gaussian Kernels used in Auto-configuring RBF Networks T N Nagabhushan and S K Padma, 4 th Indian International Conference on Artificial Intelligence IICAI-09, 16-18 December 2009, Tumkur, India. 2008 9. Artificial Neural Network Based Tool Condition Monitoring in Machining Applications An Overview, Dr. P Srinivasa Pai and Dr. T N Nagabhushana, Manufacturing Technology Today Journal, September 2008, Vol. 7, Issue 9, pp 17-24 10. Generalization of Adaptive Incremental Learning RBF Network Trained with Significant Patterns, TN Nagabhushan, SK Padma, Bhanu Prasad, 2008 International Conference on Artificial Intelligence & Pattern Recognition (AIPR-08), Orlando, Florida, USA, July 2008 11. On the Performance Analysis of Resource Allocating Network Trained with Significant Patterns, TN Nagabhushan, SK Padma, Bhanu Prasad, 2008 International Conference on Artificial Intelligence & Pattern Recognition (AIPR-08), Orlando, Florida, USA, July 2008 2007 12. Training Resource Allocating Network using Medoids and Significant Patterns, TN Nagabhushan, SK Padma, 3 rd Indian Int. Conf. on Artificial Intelligence IICAI-07, Pune, December 2007
13. Growing Cell Structures (GCS) A Constructive Learning Neural Network for Tool Wear Estimation Application, Srinivasa Pai P, TN Nagabhushana, Raj B K N Rao, International Conference on Computational Intelligence and Multimedia Applications 2007 ICCIMA 07, organized by Department of Electronics & Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, INDIA, December 2007 14. On the Generalization of Incremental Learning RBF Neural Networks Trained with Significant Patterns, TN Nagabhushan, SK Padma, 6 th International Conference on Information, Communications and Signal Processing ICICS 2007, Singapore, December 2007 15. Segmentation of Moon Image using Gravitational Symbolic Clustering, TN Nagabhushan, DS Vinod, ALMANAC-07, Dayananda Sagar Institution, Bangalore, November 2007 16. Intensity Based Image Mosaicing, DS Vinod, Akshatha Bhat, Vidyullatha Prakash, Shivaprakash, Shanmugam Kannan, 7 th WSEAS International Conference on Applied Computer Science (ACS 07), Venice Italy, November 2007, pp 111-116 17. Classification of Symbolic Objects using Adaptive Auto-Configuring RBF Neural Networks, TN Nagabhushan, Hanseok Ko, Junbum Park, SK Padma, YS Nijagunarya, 2007 International Symposium on Information Technology Convergence ISITC 2007, Jeonju Korea, November 2007 18. Artificial Neural Network Applied to Acoustic Emission Based Surface Roughness Monitoring in Face Milling, P Srinivasa Pai, TN Nagabhushana, Manufacturing Technology Today Journal, July 2007, Vol. 6, Issue 7, pp 4-10 19. Incremental Learning in RBF Networks with Significant Samples, TN Nagabhushan and SK Padma, Int. Conf. on Information Processing ICIP-2007, Bangalore, August 2007 2006 20. Recent Trends in Medical Image Registration Methods, Ashwath Kumar and BS Mahanand, Int. Congress of Imaging Science ICIS, Rochester, New York, USA, May 2006
21. A Wavelet based Neural Network approach to Function Approximation, TN Nagabhushana and MP Pushpalatha, National Conf. MEPCO-CONCT6, MEPCO Schelnk Engineering College, Shivkashi, Mar 2006 2005 22. IT Education for rural Development, BG Sangameshwara and UM Mallikarjuna Swamy, Int. Conf. on Education, Singapore, Dec 2005 23. Information Theoretic approach to Image Registration, Ashwath Kumar, TN Nagabhushan and BS Mahanand, National Conf. on Vision, Graphics & Image processing (NVGIP), JNNCE, Shimoga, March 2005 24. Heralding a New Dawn in Rural Health: A System s Approach, BG Sangameshwara and UM Mallikarjuna Swamy, Int. Conf. on Water and Health WAH-2005, SJCE, Mysore, Jan 2005 25. Tool Wear Monitoring in Face Milling using Fuzzy Pattern Recognition Techniques, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, Int. Conf. on Emerging Technologies in Intelligent System and Control, Kumaraguru College of Technology, Coimbatore, January 2005 26. Tool Wear Monitoring in Face Milling using Fuzzy Pattern Recognition Techniques, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, J. of Intelligent & Fuzzy Systems 2004 27. Adaptive Leaning in Incremental Learning RBF Networks, TN Nagabhushana and SK Padma, Int. Conf. ICONIP-2004, Calcutta, Nov 2004 28. A Unified Training Scheme for Self Organizing Feature Map and its Applications to Magnetic Resonance Image Analysis, TN Nagabhushana and DS Vinod, Int. Conf. SCI- 2004, Florida, USA, July 2004
29. A cascaded RAN architecture for Efficient Classification of Unconstrained Numerals, TN Nagabhushana and KT Veeramanju, Int. Conf. SCI-2004, Florida, USA, July 2004 30. A cascaded RAN architecture for Classification of Unconstrained Numerals, TN Nagabhushana and KT Veeramanju, National Conf. on Computational Mathematics NCRTCM-2004, Gandhigram, Mar 2004 31. Adaptive Auto Configuring RBF Network, TN Nagabhushana and SK Padma, National Conf. on Computational Mathematics NCRTCM-2004, Gandhigram, Mar 2004 32. Self Organizing Feature Map to Classify Remotely Sensed Data, TN Nagabhushana and DS Vinod, Convention on MSI and INSEM, Shimoga, Jan 2004 2003 33. Extended Tower Algorithm for Multi Category Classification, TN Nagabhushana and SK Padma, Int. Conf. ICICS-PCM-2003, Singapore, Dec 2003 34. A Neural Net Based Approach for Extracting Rules from Symbolic Data, TN Nagabhushana and YS Nijagunarya, Int. Conf. ICICS-PCM-2003, Singapore, Dec 2003 35. Towards Enhancing Recognition efficiency of Face Recognition Systems, CN Ravi Kumar and BS Mahanand, National Conf. on Document Analysis and Recognition NCDAR, Mandya, July 2003 36. Rotation Invariant Face Recognition System using Principal Component Analysis Technique, CN Ravi Kumar and BS Mahanand, National Conf. on Open Source Software and Technologies, BBSBEC, Fatehgarh Sahib, Punjab, May 2003 37. Novel Approach for Rural Development using Data mining Technique, BG Sangameshwara and UM Mallikarjuna Swamy, National Conf. on Open Source Software and Technologies, BBSBEC, Fatehgarh Sahib, Punjab, May 2003
38. Classification of Remotely Sensed data using Gravitational Symbolic Clustering, TN Nagabhushana and DS Vinod, Int. Conf. Map India 2003, New Delhi, Jan 2003 2002 39. Neural Network based Tool Wear Monitoring in Face milling, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, Int. Conf. on e-manufacturing, Bhopal, Nov 2002 40. Divisive Clustering Hoard type of Complex Symbolic Objects of Concepts of both similarity and dissimilarity, TN Nagabhushana and Nijagunarya, National Conf. NCACA 2002, NGM College Pollachi, Coimbatore, Oct 2002 41. An Effective Algorithm for ranking web Documents, TN Nagabhushana and Srinath., National Conf. NCACA 2002, NGM College Pollachi, Coimbatore, Oct 2002 42. A Novel Feature extractor for hand written numerical recognition system, TN Nagabhushana, Subba Reddy and KT Veeramanju, National Conf. on Recent Trends in INFORMATION TECHNOLOGY, Karpagam Arts and Science College, Coimbatore, Aug 2002 43. Incremental Neural Learning Algorithms for Classification of Spiral Structures, TN Nagabhushana and SK Padma, National Conf. on Recent Trends in INFORMATION TECHNOLOGY, Karpagam Arts and Science College, Coimbatore, Aug 2002 44. Classification of Multi-spectral Images using Symbolic Gravitational Approach, TN Nagabhushana and DS Vinod, National Conf. on Recent Trends in INFORMATION TECHNOLOGY, Karpagam Arts and Science College, Coimbatore, Aug 2002 45. Clustering Hoard type of Complex Symbolic Objects, TN Nagabhushana and Nijagunarya, National Conf. on Recent Trends in INFORMATION TECHNOLOGY, Karpagam Arts and Science College, Coimbatore, Aug 2002
46. Intelligent listing of Web publication, TN Nagabhushana and Srinath, National Conf. on Recent Trends in INFORMATION TECHNOLOGY, Karpagam Arts and Science College, Coimbatore, Aug 2002 47. Classification of Remotely Sensed data using Self Organizing Feature Map, TN Nagabhushana and DS Vinod, Int. Conf. on Remote Sensing GIS/GPS, Hyderabad, Feb 2002 48. Intelligent Relevance Engine for Web Centric Applications, TN Nagabhushana and Srinath, National Seminar on Web Education, ClST, UOM, Mysore, Jan 2002 49. Tool wear Monitoring in face milling -A critical comparison of neural network approaches, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, Symposium on Manufacturing Excellence, IIT Madras, Chennai, Jan 2002 50. A comparative Evaluation of Feed Forward Neural Networks for Tool Wear Monitoring Application, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, National Seminar on Emerging Trends in Manufacturing, Varanasi, Jan 2002 51. Flank Wear Estimation in Face Milling Based on Radial Basis Function Neural Networks, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, Int J. of Advanced Manufacturing Technology 2002, Vol. 20, pp 241-247 52. Radial Basis Function Neural Networks for Tool Wear Monitoring: A Critical Evaluation, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, Int J. of COMADEM 2002, Vol. 5(3), pp 21-30 2001 53. Wear Estimation In Face Milling using Acoustic Emission Technique, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, National Conf. on Computer Integrated Design and Manufacturing, Coimbatore, May 2001
54. Tool Wear Estimation Using Resource Allocation Network, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, Int J. of Machine Tools & Manufacture, Vol. 41, No.5, Feb 2001, pp 673-685 2000 55. Tool Wear Estimation in Face Milling operation using Artificial Neural Networks, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, 19th All India Manufacturing Technology Design & Research Conference, IIT Madras, Chennai, Dec 2000 56. Tool Wear Monitoring Studies in Face Milling using Multi-Layer Perceptron, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, National Conf. on Computer Integrated Design and Manufacturing, Coimbatore, May 2000 1998 57. Application of Artificial Neural Networks for Non-Destructive Evaluation in Machining, P Srinivasa Pai, TN Nagabhushana and PK Ramakrishna Rao, National Seminar on Non- Destructive Evaluation, NDE-98, Trivandrum, India!"# $!$ "$% &%'() $ Research Grant, Development of efficient tool for Accurate Digital Image Registration, Research promotion Scheme (RPS), All India Council for Technical Education, New Delhi, 2007-2009, Rs. 5.75 lakhs.
Student bodies like CSI,IEEE Professional Society Activities : The IEEE-SJCE conducts fest Cyberia A National Level technical fest during the even semester. The CSI conducts it s annual technical fest, Technologix during the even semester. Some of the activities include- Encouraging industry institute interactions through various presentations. Acquainting the students with the latest in the industry by organizing courses and workshops for students about topics related to the field of information Technology. Conducting inframural technical events.