Information Science and Engineering

 
  • The Department of Information Science & Engineering was established in the year 2000 with an intake of 60 students.
  • The department offers one undergraduate program (B.E in Information Science and Engineering) and two postgraduate programs (M.Tech in Software Engineering, M.Tech in Data Science).
  • The department has highly qualified faculty members who have rich experience in the area of Data Science, Machine Learning and Computational Intelligence.
  • The faculty members have associated with various reputed International Universities like Harvard University, USA, Nanyang Technological University, Singapore, Korean University, Seoul, University of Mannheim, Germany, Georgia University, USA, St. Petersburgh Electrotechnical University, Russia, University of Genova, Italy, Helsinki University of Technology, Finland, Bilkent University, Turkey and many more.
  • Faculty members of the department have produced more than 200 research articles in the reputed Journals and Conference proceedings. The published papers have high citation index.
  • The department regularly conducts workshops, seminars, symposiums, and faculty development programmme to keep update with emerging technologies.
  • The department is housed with high end computing facilities like GPU machines, High End Internet Facilities, wifi facilities, access to reputed journals like IEEE, Springer, Elsevier and many more.
  • The students of the department have a good placement record (Around 98% placement during 2016) with reputed companies like Google, Microsoft, Intuit, Flipkart, Adobe and many more.
  • Alumni of the department pursue their higher studies within the country as well as abroad and some of the Alumnus are successful entrepreneurs.
  • Two software laboratories are available to students to carry out core computing exercises. Each of the labs is equipped with 45 computers. All systems are dual bootable. Students are encouraged to work on open source software.
  • One laboratory is available to students to have hands-on experience on hardware exercises. The lab is equipped with trainer kits to verify hardware logic.
  • High End Data Science and Machine Learning Laboratory sponsored by Microsoft India University Relation. A few Raspberry Pi kits are being used and under grad students who passed out this year have successfully completed about 5 projects. A working model of a robot implemented in the lab has secured the third prize in a conference recently.
  • One laboratory caters to students’ desire for app development. Initially the lab was setup with assistance from Nokia and now caters to general app development. Students from our department have recently developed an app for the safety of women in buses and won the first prize in the state.
  • Department has an exclusive laboratory for PG students. It has 15 computers with high resolution monitors. The lab is also available to research scholars who have registered with the department faculty for their Ph.D. The laboratory has been successfully used by them and a good number of papers have been published in refereed journals.
  • Apart from Laboratory infrastructure, students have WI-FI access to internet.
To be an outstanding education centre in Information Science and Engineering through excellence in teaching and research.
  • To empower the graduates with domain specific knowledge, skill and creative thinking.
  • To create wide angle exposure to the stakeholder on thrust areas.
  • To prepare graduates with research and entrepreneurship attitude having high moral and ethical values.

Program Educational Objectives (PEOs)

  1. Provide solutions by applying knowledge and skills in the field of information science and engineering.
  2. Excel in their profession through creative thinking and continuous learning to cater societal needs.
  3.  Function effectively in software development, research and entrepreneurship
 

PROGRAMME SPECIFIC OUTCOMES (PSOs)

  1. Provide students with core competence in mathematics, scientific, and basic, engineering fundamentals to develop software applications.
  2. Train students with knowledge and skills in core areas of system engineering, information processing and application development.
  3.  Inculcate students to excel in IT profession, entrepreneurship, and research with ethical standards
 

PROGRAMME OUTCOMES (POs)

Engineering Graduates will be able to:
  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

OBE Administration

Sl. No. Member Category Affiliation
1 Dr. B Ravindra Subject Expert from Academic/ Research Institution Associate Professor, Department of CS, IIT Madras
2 Dr. P Nagabhushan Subject Expert from Academic/ Research Institution Director, IIIT – Allahabad
3 Dr. Nirmal Kumar Sancheti Subject Expert from Industry Vice President- Engineering,

AllGo Embedded Systems Pvt. Ltd, Bangalore

4 Mr. Shrinivas S Kulkarni Subject Expert from Industry Senior Software Architect , IBM India Software Lab, Bangalore
5 Ramesh Phatak Postgraduate Meritorious Alumnus Board Member and Director at CONTTEXT, Technical Consultant, Member of Angel Network Bengaluru Area, India
6 Dr. Ashish Ghosh Co-opted member Professor & former Head
MIU, ISI,Kolkata

The above members are also the members of Board of Studies.

Mentoring Committee for the academic year 2018-19

1st Semester Dr.Harish.B.S Prof.Anand Raj Ulle Prof.Vanishree  Arun
3rd Semester Prof.Vani.H.Y Prof.Manju.N Prof M.S.Maheshan
5th Semester Dr.B.S.Mahanand Dr.Umesh.K.K Dr.Prathibha R.J
7th Semester Dr.D.S.Vinod Dr.S.P.Shiva Prakash Prof.C.K.Roopa
M.Tech-Software Engineering Dr.S.K.Padma Dr.R.J.Prathibha Prof.C.K.Roopa
M.Tech-Data Science Dr.S.P.Shiva Prakash Prof.Manju.N Prof.Anand Raj Ulle

Programmes Offered

Scroll below to download the Curriculum.

UG details

PG details

Research Programmes

B.E (Information Science & Engineering)

M.Tech (Software Engineering)

M.Tech (Data Science)

M.Sc. (Engineering) by research
Ph.D.

Know your Faculty

• The faculty is well recognized and is on the academic bodies of other institutions.
• Some of the faculty have international exposure and have served as visiting professors and post doctoral fellows in Universities in Singapore, South Korea, USA and Italy.
• Seven of the faculty have doctoral degrees and are actively engaged in research with their research scholars.
• Eight faculty are pursuing their doctoral degree, some in-house and some others outside

 
Click Faculty Name to view their profile.

Sl. No.

Name

Designation

Qualification

1

Dr. T N Nagabhushan

Professor & Principal

Ph.D

2

Dr. S K Padma

Professor

Ph.D

3

Dr. D S Vinod

Associate Professor & Head

Ph.D

4

Dr. B S Mahanand

Associate Professor

Ph.D

5

Dr. B S Harish

Associate Professor

Ph.D

6

Dr. Umesh K K

Associate Professor

Ph.D

7

Dr. R J Prathibha

Assistant Professor

Ph.D

8

Mr. Anandraj Ulle

Assistant Professor

(Ph.D)

9

Dr. S P Shiva Prakash

Assistant Professor

Ph.D

10

Ms. Vanishri Arun

Assistant Professor

(Ph.D)

11

Ms. Vani H Y

Assistant Professor

(Ph.D)

12

Mr. Manju N

Assistant Professor

(Ph.D)

13

Ms. C K Roopa

Assistant Professor

(Ph.D)

14

Mr. M S Maheshan

Assistant Professor

(Ph.D)

Name of the technical staff Designation Qualification
Mr Vinod Instructor Diploma in Computer science
Ms. Thara B N Instructor BE in Computer science
Mrs Ramyashree Instructor BE in Computer science
Mrs Porrnima B Instructor Diploma in Computer science
Mr Shivanna Helper H.P.S
  • Global Initiative of Academic Networks(GIAN) on Neuromorphic Architectures Advanced Topics on Spiking Neural Networks and their Learning Algorithms, December 19 – December 30, 2017
    1. Foreign Faculty : N Sundararajan, Professor ( Retired ), EEE, NTU, Singapore
    2. Host Faculty : S K Padma
  • SJCE Alumni Best Project Award – 2017 Project title: “Pothole Detection System”, Students Name: Ravish K G, Jayesh K B, Kruthik M S and Pavan Kumar, (BE in Information Science and Engineering) under the guidance of Dr. D S Vinod.
  • B S Mahanand has been awarded with a Raman postdoctoral fellowship from University Grants Commission, Government of India at Harvard Medical School, Harvard University, USA in 2016-17
  • B S Mahanand, Ramesh Shreyas and his team have won Best Student Project award for the year 2015-16 from Tata Consultancy Services (TCS).
  • B S Mahanand has been awarded Best Ph.D. Thesis Award from the Government of Karnataka’s Board for IT Education Standards.
  • Arun Kumar and team was awarded 1st Place in Recognition Task in Sclera Segmentation and Eye Detection Benchmarking Competition in Conjunction with International Joint Conference on Biometrics 2017, October 1 – 4, 2017, Denver, Colorado, USA.
  • B S Hairsh , Arun Kumar and team were awarded 1st Prize in Segmentation and 2nd Prize in Recognition in Sclera Segmentation Benchmarking Competition organized by The 9th IAPR International Conference on Biometrics (ICB-2016), June 13 – June 19, 2016, Sweden.
  • B S Hairsh , Arun Kumar and team were awarded “Best Paper Award” during IEEE International Conference on Knowledge Engineering and Applications (ICKEA 2016), 28-30 September, 2016, Singapore.
  • S P Shivaprakash secured “Excellent Team Work award” in the short term course on “Creativity and Innovation” conducted by IIT Delhi.
  • Vani H Y was awarded with Best Paper presentation for Research Paper titled “Noisy speech recognition using wavelets and FCM” in 4th international conference on information and network security” Kuala Lumpur Malaysia ,December 28 to 31, 2016.
  • M S Maheshan received Best Paper Award for presenting research paper entitled “Indexing based Classification: An Approach towards classifying Text Documents” at Duy Tan University, Da Nang, Vietnam on 15th – 17th June 2017.
SI No. Particulars Date Type of Event
 1. Five Day National Level Seminar on “MultiMedia Data Analysis” 26/04/2016 – 30/04/2016 National Level Workshop
 2. Three Day National Level Seminar on “Mathematics behind Machine Learning” 21/08/2014 – 23/08/2014 National Level Workshop
 3. Two Day Workshop on “Recent Advances in Machine Learning” 15/05/2013 – 16/05/2013 Workshop
 4. Sample Course Modules Developed
5.         Recent Advances in Health care Management using Handheld Devices 28/01/2014 One Day Workshop
6.         Two Day workshop on Android Application Development 27/09/2014 – 28/09/2014 Workshop
7.         Tran cranial Magnetic Stimulation: Science, Diagnostic and Treatment of Human Brains 26/02/2015 Research Talk
8.         ICT Workshop 09/04/2015 Workshop
9. Web Application Development 10/10/2015 – 25/10/2015 Finishing School
10.     Student Internet World 25/02/2016 – 26/02/2016 Two Day Workshop
11.     Spiking Neural Networks and Neuromorphic System: Understanding and Modeling the Human Brain 22/06/2016 Research Talk
12.     A Powerful Platform to build web and Mobile  Apps that scale automatically 17/09/2016 – 27/09/2016 Finishing School
13.     Windows System Fundamentals 19/09/2016 – 27/09/2016 Finishing School
14.     Multiclass Binary Coded Genetic Algorithm based classifiers for indentifying Biomarkers associated with severe diseases 08/12/2016 Technical Talk
15.     Student Internet World 15/12/2016 – 16/12/2016 Two Day Workshop
16.     IOT and its application to develop smart city solutions 24/01/2017 Technical Talk

Undergraduate Program

Sl No. Name Year
1 VIKRAM M A 2011
2 RAKSHA NAYAK 2012
3 SWATHI PRABHAKAR 2013
4 MADHUSHREE V N 2014
5 ANKITHA SARKAR 2015
6 MANJUNATH RAJENDRABATAKURKI 2016
7 KAMALASHREE N 2017
8 SEEMA C 2018

 

Postgraduate Program – M.TECH IN SOFTWARE ENGINEERING

Sl No. Name Year
1 YOGESHA T 2010
2 SUDHARSHAN V 2011
3 DEEPADEVI M 2012
4 ARUNA KUMAR S V 2013
5 SHILPA HADIMANI 2014
6 AJAY S PRABHU 2015
7 SURABHI S 2016
8 SMITHA B 2017
9 RANJITHA P 2018

 

List of Ph.D. Awarded from the Department of ISE

Sl No. Name Year
1 Mr. Sreenivas Pai 2004
2 Mr. K T Veeramanju 2006
3 Mr. Nijaguna Arya 2007
4 Mrs. S K Padma 2009
5 Mr. D S Vinod 2009
6 Mr. Shivaprakash S P 2017
7 Mr. P Mahesh 2017

 

CSI-SJCE Student Chapter

CSI

CSI formed in 1965 has been instrumental in guiding the Indian IT industry down the right path since its formative years. Today, the CSI has 72 chapters all over India, 511 student branches, and more than 1 lakh members including India’s most famous IT industry leaders, brilliant scientists and dedicated academicians.

The mission of the CSI is to facilitate research, knowledge sharing, learning and career enhancement for all categories of IT professionals, while simultaneously inspiring and nurturing new entrants into the industry and helping them to integrate into the IT community.

CSI-SJCE 

The Computer Society of India, SJCE chapter has been instrumental in promoting expertise in the field of Information Technology. In this endeavor, it has devoted itself to the intellectual needs of enterprising students through various activities.

The SJCE chapter takes pride in the fact that it is a student body that aims at whetting the student’s appetite for IT and provides an ideal platform for them to develop skills. SJCE chapter has organized several invited talks, workshops and technical events. More than 200 students and 15 faculties are currently members of CSI.

TECHNOLOGIX

Technologix is an annual technical symposium conducted under the aegis of Computer Society of India-SJCE student chapter. The event attracts some of the best brains and brands every year and activities are focus on:

  • Encouraging industry-institute interaction through various industry presentations.
  • Conducting technical events.
  • Acquainting the students with the latest in the industry by organizing invited talks.
  • Organizing courses and workshops for students about topics related to the field of Information Technology.

Archives:

The project Title: “Innovative Data Transfer Device

Faculty: Vanishree Arun

The concept is filed for Indian Intellectual property rights in 2016 and the application is published on 09/11/2016 with the Patent Number 201641032658 through Allinnov Research and Development Pvt. Ltd. Application for Patent Examination has been filed and date is awaited. Presently working on the development of the product.

 
2016- 17
  • Vanishri Arun filed for Indian Intellectual property rights for the concept “Innovative Data Transfer Device”, and the application is published on 09/11/2016 with the Patent Number 201641032658.
  • S.P. Shiva Prakash Secured “Excellent Team Work award” in the short term course on “Creativity and Innovation” conducted by IIT Delhi,
 2017-18
  • M S Maheshan received Best Paper Award during 4th International Conference on Information System Design and Intelligent Applications Sponsored by Springer at Duy Tan University, Da Nang, Vietnam on 15th – 17th June 2017.
  • Vanishri Arun has been awarded a grant of Rs 20,000/- to present two research papers at the Computational Intelligence Society flagship Symposium Series on Computational Intelligence, IEEE-SSCI-2018 held on 18th November 2018.
  • Vanishri Arun paper award during the Second National Conference on Engineering Innovations and Solutions (NCEIS 2018) held on 17th April 2018.
  • Vanishri Arun, M S Maheshan and S K Padma signed MoU with JSS Academy for Higher Studies and Research for app development titled “DiaGuru” and “JSS Dental” in 2018.
  • S.P. Shiva Prakash received letter of appreciation from Finnish-Russian University Cooperation in Telecommunication (FRUCT), Finland for contributing in translation of medical data from English to Hindi and Kannada languages
  • S.P. Shiva Prakash was invited as Chief Guest for the inauguration of Computer Science and Engineering Department Association, Mysore Royal Institute of Technology, Mysore and Delivered technical talk on “Recent trends in Wireless Body Area Network and 5G Technologies, 10th May, 2018
 2018-19
  • JSS Science and Technology University, Mysuru has awarded best synopsis in terms of research proposal and its expected output to Research Scholar working under Dr. S.P. Shiva Prakash supervision, Aug 2017
  • S.P. Shiva Prakash was invited as keynote speaker and delivered lecture on “Methods and Models for Energy Aware Routing in Wireless Networks” for the 13th international symposium “Intelligent Systems-2018” held from October 22-24, 2018 at Saint Petersburg, Russia
  • S.P. Shiva Prakash was invited to chair the session of Big data analytics/Network Technologies-I session at the 23rd conference of open innovation Association FRUCT held at Advanced Research Centre on Electronic System (ARCES), University of Bologna, Italy from November 13-16, 2018
2016- 17
  • M S Maheshan coordinated in Organizing a special lecture on “How to do good Ph.D.?” as a part of CCIP International conference held on 10th August, 2016 at SJCE, Mysuru.
      2017-18
  •  
   2018-19
  • S.P. Shiva Prakash conducted “Five day Faculty Development Programme on IoT: interfacing and application development” from August 20-24, 2018
  • S.P. Shiva Prakash conducted “Three day workshop on IoT: interfacing and application development” at Department of Information and Technology, MLV Textile Engineering College, Bhilwara, Rajasthan as part of Twinning program of Sri Jayachamarajendra College of Engineering, Mysore from September 20-22, 2018
2016 Journals Conferences
  • Vanishri Arun, Rubeena Banu, Dr. Shankaraiah, Dr. Shyam V. (2016). Meta-cognitive Neural Network Method for Classification of Diabetic Retinal Images. In : Second International Conference on Cognitive Computing and Information Processing (CCIP 2016).
  • P. Shiva Prakash, T.N. Nagabhushan, Kirill Krinkin. (2016). On improving energy saving in ieee 802.11s wireless mesh networks under mobility conditions, Second International Conference on Cognitive Computing and Information Processing (CCIP-2016), IEEE Explorer,
  • P. Shiva Prakash, T.N. Nagabhushan, Kirill Krinkin. (2016). Cluster based approach to minimize delay in energy aware routing for ieee 802.11s wireless mesh networks under mobility conditions, Proceedings of 19th Conference of Open Innovations Framework Program FRUCT, St-Petersburg, Russia.PP: 189-195, IEEE explorer.
   2017 Journals
  • Vanishri Arun, Rubeena Banu, Dr. Shankaraiah, Dr. Shyam V. (2017). Meta-cognitive Neural Network Method for Classification of Diabetic Retinal Images. IEEE Xplore 2017, DOI: 1109/CCIP.2016.7802860.
  • Vanishri Arun, S.K.Padma, Shyam V. (2017). Evidence-based technological approach for disease prediction using classification technique. Springer series Lecture Notes in Networks and Systems.
  • Vanishri Arun, S.K.Padma, Shyam V. (2017). Disease Classification and Prediction using Principal Component Analysis and Ensemble Classification framework. International Journal of Control Theory and Applications.
  • P. Shiva Prakash, T.N. Nagabhushan, Kirill Krinkin, (2017). Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN: Wireless Mesh Networks Under Mobility Conditions, International Journal of Embedded and Real-Time Communication Systems (IJERTCS), Vol: 7, Issue:1, Pages:85-112,  IGI Global publications/ACM/IEEE explorer, DOI:10.4018/IJERTCS.2016010105
 Conferences
  • Vanishri Arun, S K Padma, Shyam V. (2017). Disease Classification and Prediction using Principal Component Analysis and Ensemble Classification framework. In : 2nd International Conference on Sustainable Computing Techniques in Engineering, Science and Management (SCESM 2017).
  • Vanishri Arun, S K Padma, Shyam V. (2017). Evidence-based technological approach for disease prediction using classification technique. In : Fifth International Conference on Cognition and Recognition (ICCR 2016).
     2018 Journals
  • Vanishri Arun, S K Padma, Shyam V. (2018). Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification. International Journal of Interactive Multimedia and Artificial Intelligence. http://dx.doi.org/10.9781/ijimai.2018.10.001
Conferences
  • Harish, B. S., & Manju, N. (2018, June). Hybrid Feature Selection Method using Fisher’s Discriminate Ratio to Classify Internet Traffic Data. In Proceedings of the 4th International Conference on Frontiers of Educational Technologies (pp. 75-79). ACM.
  • Vivek, M. B., Manju, N., & Vijay, M. B. (2018). Machine Learning Based Food Recipe Recommendation System. In Proceedings of International Conference on Cognition and Recognition (pp. 11-19). Springer, Singapore.
  • Maheshan, M. S., Harish, B. S., & Nagadarshan, N. (2018). On the use of Image Enhancement Technique towards Robust Sclera Segmentation. Procedia computer science, 143, 466-473.
  • Maheshan, M. S., Harish, B. S., & Revanasiddappa, M. B. (2018). Indexing-Based Classification: An Approach Toward Classifying Text Documents. In Information Systems Design and Intelligent Applications (pp. 894-902). Springer, Singapore.
  • Vanishri Arun, Prajwal V., S K Padma, Shyam V. (2018), Neural Network in a Projection Learning framework for Depression classification in MYNAH cohort. In: Symposium Series on Computational Intelligence, IEEE-SSCI-2018.
  • Vanishri Arun, Prajwal V., S K Padma, Shyam V. (2018), A Boosted Machine Learning Approach For Detection of Depression. In : Symposium Series on Computational Intelligence, IEEE-SSCI-2018.
  • Vanishri Arun, Prajwal V., S K Padma, Shyam V. (2018). Diabetic Retinopathy Risk Prediction for Diabetics Using Nearest Neighbor Approach. In International Conference on Emerging Research in Electronics, Computer Science and Technology – Proceedings of International Conference, ICERECT 2018.
  • Vanishri Arun, Ranjitha P. (2018). Decision Making for Heart Disease Detection Using Hybrid Neural Network-Particle Swarm Optimization Algorithm. In : Second National Conference on Engineering Innovations and Solutions. (NCEIS 2018) Vanishri Arun, Rakshitha Hathwar, Keerthana Basavaraj, Sonali C H, et al. (2018). Risk Factor Analysis of Diseases Using Machine Learning Techniques.  In : National Conference on Engineering Innovations and Solutions. (NCEIS 2018).
  • P. Shiva Prakash, Apurwa Agrawal, (2018). Walking and Transition Irregularity Detection Using ANN Approach for Wireless Body Area Network, In Proceedings of International Conference on Computer Networks and Communication Technologies, Lecture Notes on Data Engineering and Communications Technologies, PP-85-96, Springer
  • P. Shiva Prakash, V. Chethan Kumar, Sergey Balandin, (2018). Performance enhancement of optimized link state routing protocol for health care applications in Wireless Body Area Networks, In Proceedings of 23rd FRUCT international conference, pp:195-203, IEEE explorer.
 

Noted Alumni

Karnataka Girl Who Just Became South India’s 1st Woman Fighter Pilot

Meghana Shanbough

Pilot, IAF

As the Chief Executive Officer, Pavan Sondur defines the road map for all growth and innovation at Unbxd. Pavan aims to shape Unbxd as a global product company from India with a strong focus on America, Indian, and APAC markets.

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