NCET’s Department of Information Science and Engineering takes special efforts to impart learning ability for the students. Information Science is an interdisciplinary science primarily concerned with analysis, manipulation, storage, retrieval of information. It is a broad field incorporating not only the aspects of computer science, but often diverse fields such as communications, management, law etc. 

The students are focused with the use of conceptual understanding of core domain area in Computing as well as enhanced programming skills disseminating their analytical abilities. The faculties of our department are well qualified and have rich knowledge in their subjects. Students are encouraged to take up competitive exams and we also motivate them to participate in inter college events like cultural and technical events.  

  • The department has got permanent affiliation from VTU and is accredited by the National Board of Accreditation (NBA) and National Assessment and Accreditation Council (NAAC) with ‘A+’ Grade. 
  • Department has good interactions and MOUs with leading technology domain Industries. 

Students are provided with special placement training from Fifth Semester onwards, resulting in placements in reputed companies like, TCS, Wipro, ITC Infotech, Inzoom, HP, Infosys, TCS, IBM, Mindtree, Cognizant, JK Technosoft, Mphasis etc.

VISION 

To disseminate the IT knowledge among the students for achieving excellence in education and to irradiate budding engineers as leaders in information technology. 

MISSION 

M1: To maintain leadership and excellence in Information Technology. 

M2: Achieving excellence in IT through analysis, design, development of software products 

M3: Developing communication skills, leadership qualities and team work among students’ community by providing opportunities to work on various projects through internship with industry partners 

M4: To inculcate Ethics and Human values for solving societal problems and environmental protection. 

M5: Promoting research, higher studies and entrepreneurship among the students through outside world interaction 

HoD's Message

Dr. Sanjeevakumar M. Hatture

Head of the Department

I hearty welcome all the students and their parents to the Department of Information Science and Engineering. Information Science and Engineering is an essence of today’s world. We are committed to provide not only the technical education to our students but also the leadership qualities through which they can create employment to others. 

During study at the department, the students are encouraged to get hands-on experience in the corporate world through internship projects with reputed organizations. We believe that our students have been well accepted in their job profiles and have consistently exceeded expectations of the corporate world. In their curriculum they are encouraged to take up mini projects to supplement theoretical knowledge with practical experience. 

We provide an opportunity for students to work as members of a team to organize events such as IKYA (a cultural fest), participate in workshops, technical and cultural fests organized by other colleges and also get involved in activities of social relevance. 

I congratulate the faculty members and the students for their brilliant efforts. I wish all the Students and Faculty a great academic career. 

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

The graduates of Information Science and Engineering are expected to fulfil the following PEOs after a few years of their graduation. 

  • PEO1: Pursue a successful career in the field of Information Science & Engineering or a related field utilizing his/her education and contribute to the profession as an excellent employee, or as an entrepreneur. 

  • PEO2: Be able to work effectively in multidisciplinary environments and be responsible members/leaders of their communities 

  • PEO3: The graduates of Information Science and Engineering Program should be able to establish an understanding of professionalism, teamwork, ethics, public policy that allows them to become good professional Engineers 

  • PEO4: The graduates of Information Science and Engineering Program should be able to provide novel engineering solutions and efficient software designs with legal and ethical responsibility. 

  • PEO5: Continuously improve by pursuing advanced degrees in engineering, business, or other professional fields through formal means or through informal self-study. 

PROGRAM OUTCOMES (POs)

Graduates of the Information Science and Engineering Programmee will be able to achieve the following POs: 

  • PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and Information Science and Engineering principles to the solution of complex problems in Information Science and Engineering. 

  • PO2: Problem Analysis: Identify, formulate, research literature, and analyze complex Information Science and Engineering problems reaching substantiated conclusions using first principles of mathematics and engineering sciences. 

  • PO3: Design/Development of Solutions: Design solutions for complex Information Science and 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. 

  • PO4: 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 related to Information Science and Engineering problems. 

  • PO5: Modern Tool Usage :Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex Information Science and Engineering activities with an understanding of the limitations. 

  • PO6: 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 Information Science and Engineering practice.

  • PO7: Environment and Sustainability: Understand the impact of the professional Information Science and Engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. 

  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Information Science and Engineering practice. 

  • PO9: Individual and Team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 

  • PO10: Communication :Communicate effectively on complex Information Science and 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 

  • PO11: 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 Information Science and Engineering projects and in multidisciplinary environments. 

  • PO12: 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.  

PROGRAM SPECIFIC OUTCOME (PSOs)

Program Specific Outcomes (PSOs) are what the graduates of a specific undergraduate engineering program should be able to do at the time of graduation. 

  • PSO1: Professional Skills:  The ability to understand, analyze and develop algorithms and write Information application programs in the areas related to information technology.  

  • PSO2: Problem-Solving Skills : Ability to understand the ethics, human values for solving societal problems and environmental protection.  

  • PSO3: Foundation of mathematical concepts : Ability to understand the software development skills and practical knowledge for promoting research, higher studies and entrepreneurship. 

Course Name: B.E in Information Science Engineering ( 4 Years )
Intake: 60
Accreditation Status: Accreditated NBA AICTE for 3 years under Tier- II
Professional Society Memberships : IAENG
Professional Activities : Student chapters, Seminars, workshops and FDPs are conducted regularly
Consultancy Activities : Consultancy activities till 2022 sum up to more than Rs. 1,40,000

Grants Fetched :

  • Department has got the fund of 1230000Rs for working on ISRO Respond project in 2018
  • Department has got the fund of 462000Rs for working on ISRO Respond project in 2019.

Departmental Achievements :

  • Faculties have patents and research work published in more than 15 papers in many of the reputed indexed journals.
  • Faculties and Technical staff have active participation in inter-departmental as well as inter-collegiate sports competitions and got laurels to the college and the department.
  • Organized visits to various industries viz., IIAP, HAL, etc.

 

Sl.No. 

         Staff Name  

Designation 

Qualification 

1.

Dr. Sanjeevakumar M. Hatture 

Professor & HoD 

M.Tech(CSE), Ph.D. 

2.

Dr. Ramesh M. Kagalkar 

Professor 

M.Tech(CSE), Ph.D. 

3.

Dr. Ramesh S. Wadawadagi 

Associate Professor 

M.Tech(CST), Ph.D. 

4.

Mrs. Sumitha B. S 

Assistant Professor 

M.E(IT), ( Ph.D.) 

5.

Mr. Mohan D. N 

Assistant Professor 

M.Tech(CSE), ( Ph.D.) 

6.

Mr. Suresha S 

Assistant Professor 

M.E(CSE), ( Ph.D.) 

7.

Mrs. Ankita Shukla 

Assistant Professor 

M.E(CSE), ( Ph.D.) 

8.

Ms. Nethra B. R 

Assistant Professor 

M.Tech(CSE) 

9.

Mrs. Ranjitha R 

Assistant Professor 

M.Tech(DS) 

10.

Mr. Mohamed Imtiaz N. 

Assistant Professor 

M.Tech(IT), ( Ph.D.) 

11.

Mrs. Thejaswini K. M 

Assistant Professor 

M.Tech(CSE) 

12.

Mr. Subramany V. Odeyar 

Assistant Professor 

M.Tech(CSE) 

Dr. Sanjeevakumar M. Hatture

M.Tech(CSE), Ph.D

Professor and Head

sanjeevhatture@ncetmail.com

Dr. Ramesh S

M.Tech(CST), Ph.D

Associate Professor

dr.rameshsw@ncetmail.com

Mrs. Ankita Shukla

M.E(CSE), (Ph.D) Assistant Professor, ankitashukla@ncetmail.com

Ms.Nethra B R

M.Tech(CSE)

Assistant professor

nethra.br@ncetmail.com

Mrs. Sumitha B.S

M.E(IT), (Ph.D)

Assistant professor

bssumitha@ncetmail.com

Mr. Mohan D. N

M.Tech(CSE), (Ph.D)

Assistant professor,

 mohan.dn@ncetmail.com

Mrs. Ranjitha R

M.Tech(DS)

Assistant professor

ranjitha.r@ncetmail.com

Mr. Suresha.S

M.E(CSE), (Ph.D)

Assistant professor

suresh.s@ncetmail.com

Mrs. Veena. S

M.Tech(CSE)

Assistant professor

s.veena@ncetmail.com

Mrs. Ramisetti Umamaheswari

M.Tech(CSE), (Ph. D)

Assistant professor

ramisetti.uma@ncetmail.com

Sl. No 

Name  

Designation and Affiliation 

Role 

1 

Dr.Sanjeevakumar M. Hatture 

Professor and HoD 

BoS Chairman 

2 

Dr. Chayadevi M.L 

 

Professor and HoD 

Department of Computer Science and Engineering, 

BNM Institute of Technology (BNMIT), 

Bengaluru – 560070 

VTU Nominee 

3 

Dr. Shashidhar G. Koolagudi 

Associate Professor & HoD 

Department of CSE, National Institute of Technology Karnataka (NITK),  

Surathkal – 575025 

Subject Expert 

4 

Dr. Mallikarjun M. Kodabagi 

Professor and Director 

School of Computing and Information Technology, REVA University,  

Bengaluru – 560064 

Subject Expert from Outside University 

5 

Dr. Santosh Honnagunti 

Chief Executive Officer 

Trigital Technologies and Co-Founder of BeauAlpha PTy Ltd Australia. 

Industry Expert 

6 

Dr. Revanasiddappa M. Biradar 

Senior Data Scientist, TeraRecon Inc, Bengaluru 

Industry Expert 

7 

Mrs. Shruthi S. V 

Designation Manager 

Deloitte,  

Bengaluru – 560001 

Meritorious Alumnus 

8 

Dr. Ramesh M. Kagalkar 

Professor 

Member 

9 

Dr. Ramesh S. Wadawadagi 

Associate Professor 

Member 

10 

Mrs. Sumitha B. S 

Assistant Professor 

Member 

11 

Mr. Mohan D. N 

Assistant Professor 

Member 

12 

Mr. Suresha S 

Assistant Professor 

Member 

13 

Mrs. Ankita Shukla 

Assistant Professor 

Member 

14 

Mr. Mohamed Imtiaz N. 

Assistant Professor 

Member 

15 

Dr. Prakash S. Khanagoudar 

Professor 

Department of CSE (Data Science) 

Co Opted Member 

LABORATORY

The institution has always kept its target of providing Student-to-computer ratio of 1:1 during their laboratory exercises

  • Latest computers with modern multimedia features and licensed software. 
  • Computer Labs have been loaded with Microsoft Windows 10 and Ubuntu Operating System. 
  • All the labs are connected with 100MBPS high-speed internet service. 
  • This lab helps placement cell to conduct online test and Placement training for students during placement drive.
  • The lab is used to train the students to improve their programming knowledge and make experiments to get familiar with the Core Courses

Data structures laboratory provides a wide approach in c programming and enables to apply knowledge. Guidance’s are provided to the students by a team of faculty experts and lab programmer. The lab is used to train the students to improve their programming knowledge and make experiments to get familiar with the core courses.

Android has become one of the biggest phone platforms and all the tools required to build android applications are also freely available. 

  • This lab is well established and fully equipped with dell & hp pc. 
  • Students are introduced to the designing of small android applications using the tool and to perform simulations that will help them evaluate their design approaches and expected performance. 
  • Students can create android virtual devices (avd) via the android sdk, which run in this emulator. 

Guidance’s are provided to the students by a team of faculty experts and lab programmer. This lab helps placement cell to conduct online aptitude test for students during placement drive.

The major objective of this lab is to provide a strong formal foundation in database concepts, technology and practice to the participants to groom them into well-informed database application developers.

The purpose of this lab is to quickly get students up to speed with basic usage of the UNIX development environment, as a preparation for all future lab activities.

The computer networks laboratory is designed for the undergraduate students to have the experiment related to the computer networks courses. Exercises comprising

  • Simulation of various protocols and performance study 
  • Tcp/ip level programming, 
  • Routing algorithms 
  • Inter networking.

Microcontroller’s laboratory helps the students to develop their knowledge on processor architecture and the programming skills. This laboratory provides hand-on experience to interface i/o devices, perform a/d and d/a conversions, design digital clock, traffic light control system etc. This laboratory houses the hardware which includes 

  • 8085 microprocessor trainer kits, 
  • 8086 microprocessor trainer kits, 
  • 8051 microcontroller trainer kits, 
  • Interfacing cards and software keil-51. 

 The features and facilities available in this laboratory help the students to do their projects and enhance their knowledge on the latest trends and technologies. Students from other branch of engineering also make use of this laboratory and develop their skills in the field of microprocessors & microcontrollers and their applications.

Operating system laboratory is special and well equipped with the latest configuration machines. System is connected via an Ethernet network to the domain server (ktr). 

Guidance’s are provided to the students by a team of faculty experts and lab programmer. The lab is used to train the students to improve their programming knowledge and make experiments to get familiar with the core courses.

This lab reinforces understanding of basic object oriented programming concepts (objects, classes and subclasses, methods) and their expression in java. It also provides practice using non-object aspects of java (loops, conditionals, etc.)

  1. Image processing laboratory
  2. Internet of things laboratory
  3. Big data(ic)
  4. Database concepts(ic)

Patents

  • Indian Patent published with Application number 202341085043A   on 22nd December 2023, “Design and Development of IoT-Based Smart Tooth Brush Device For Monitoring And Suggesting Dental Care”, . Ramesh M. Kagalkar, Sanjeevakumar M. Hatture, Rashmi P. Karchi, Nandini Sidnal.
  • Indian Patent published with Application number 202341075679A   on 17th November 2023, “Design And Development Of Smart Shoes For Safety And Health Monitoring”, . Ramesh M. Kagalkar, Sanjeevakumar M. Hatture, Dr. Ramesh S. Wadawadagi, Rashmi P. Karchi.
  • Indian Patent published with Application number 202341088581A   on 19th January 2024, “Agricultural IoT Database For Real-Time Monitoring and Control of Farm Operations”, Anil D, Sushitha S, Dr. Nirmala J Saunahimath, Geetha M, Suresha S
  • Indian Patent published with Application number 202341062869A   on 06th October 2023, “AI Based Irrigation System Using IoT”, Anil D, Sudesh Rao, Pooja Ahuja, Sushma B. S, Mohan D N, Suresha S.
  • Indian Patent published with Application number 202341062963A   on 06th October 2023, “Smart Farm Management System Using IoT”, Anil D, Soumya C S. Manjula L,Vidya V,  Saravanan S, Dr. Rashmi P Karchi, Prathibha B. N, Suresha S.
  • Indian Patent published with Application number  202341029070A   on 16th June 2023,“Novel System, Method, Design and Development of Multimodal Biometrics Database for Person Authentication: VTU-BEC-DB”, Sanjeevakumar M. Hatture, Rashmi P. Karchi, Shanmukhappa A. Angadi
  • Indian Patent published with Application number 202241024410 on 13th May 2022, “Novel System and Method of Automated Medical Waste Segregation System using Machine Learning”, Dr. Anil Kannur, Shruti Jalapur, Muthuraj V. and K. Jeevan Pradeep.
  • Indian Patent published with patent number 202241007198, 18th February 2022, “AI, ML Based Traffic Information Detection and Real Time Pothole Detection System”, Dr. Sandeep Kumar, Dr. Syed Naimatullah Hussain, Dr. Anil Kannur, Dr. Sandhya G.
  • “AI, ML Based Traffic Information Detection and Real Time Pothole Detection System”, Indian Patent filed on 10/02/2022 (Application No: 20224100198), Published on 18/02/2022.
  • Indian Design Patent filed with Application number 352805-001, 9th November 2021 (Examination Report has been Generated – FER is generated on 21st Dec 2021), Arun Kumar S, Dr. Anil Kannur, Dr. Syed Naimatullah Hussain and Dr. Sindhu D V.
  • Australian Innovation Patent granted with patent number 2021105264, November 2021, “An Internet of Things based Covid Spread Prevention System and its Method Thereof” Inventors names: Dr. Anil Kannur, Dr. Syed Naimatullah Hussain, Arun Kumar S, Muthuraj V, Sandhya L and Sindhu D. V.
  • Indian Patent published with patent number 202121039129, 10th September 2021, “A Novel Technology System for Women’s Safety to Prevent the Harassment and its Method Thereof”, Inventor names: Dr. Anil Kannur, Asha Kannur, Gopinath A R and Abraham Arjan.
  • “Intelligent Device For Water Utilization & Quality Monitoring Using IOT & AI” Published on 10th September 2021.
  • “Malware Detection Model For Android Using Machine Learning”, Indian Patent filed on 18/08/2021 (Application No: 202111037434), published on 03/09/2021.
  • “An Internet of Things Based Covid Spread Prevention System and Its Method Thereof”, Australian Patent filed on 18/08/2021 (Application No: 2021105264), Granted on 10/08/2021.
  • “An Intelligent Antitheft Device For Electrical Vehicle”, Indian Patent filed on 08/11/2021 (Application No: 352805-001).

Book Chapters and Papers Published in Journals

  •  Rashmi P Karchi, Sanjeevakumar M Hatture, Nagaraj E., Rony T Kondody, “Artificial Intelligence in Prosthodontics: New Paradigm Shift” IOSR Journal of Dental and Medical Sciences (IOSR-JDMS), Volume 22, Issue 7 Ser.6 (July. 2023), PP 06-09. DOI: 10.9790/0853-2207060609
  •  Ramesh Wadwadagi, Sanjeevakumar M. Hatture, V. B. Pagi “Learning Polarity Embedding Attention for Aspect-based Sentiment Analysis” International Journal on Artificial Intelligence Tools, World Scientific Publishers, (SCI Journal, Quartile Q3, Web of Science). https://doi.org/10.1142/S0218213023500549
  • Sanjeevakumar M. Hatture, Y.V.K. Durga Bhavani, MathaKousalya Devi, Tanveer Sadhiya, “The Use of Artificial Intelligence to Improve Agriculture and Crop Management”, in International Journal for Modern Trends in Science and Technology, Vol.9, Special Issue 1, pp. 151-154, ISSN: 2455-3778, 2023
  • G.S. Prasanna Lakshmi, P.N. Asha, G. Sandhya, S. Vivek Sharma,  S. Shilpashree, S.G. Subramanya, “An intelligent IOT sensor coupled precision irrigation model for agriculture”, Measurement: Sensors, Vol. 25, ISSN 2665 – 9174, 2023
  • Sanjeevakumar M. Hatture, V.K. Durga Bhavani and Srikanth Bethu, “Data Analytics in Sports and use of Machine Learning Algorithms For Results Comparison” in International Journal For Innovative Engineering and Management Research, Vol. 11, Issue 11, pp.97-104, ISSN 2456 – 5083, 2022
  • Syed Naimathullah Hussain, Shruti Jalapur  and Nethra B.R, “Scalable Healthcare Management System using IOT” in Journal of computer integrated manufacturing system, Vol. 28, No. 12, 2022
  • Sanjeevakumar M. Hatture, V.K. Durga Bhavani, Srikanth Bethu, “Data Analytics in Sports and use of Machine Learning Algorithms For Results Comparison”, International Journal for Innovative Engineering and Management Research, Vol. 11, Issue 11, pp. 97-104, ISSN 2456 – 5083,  2022
  • Anil Kannur, Asha Kannur, paper accepted “Identification of Weapons based on Multiple Stabbed Wound Images using Hierarchical Support Vector Machines: A Forensic Pathology in Computational Perspective” in International Journal of Image and Graphics, World Scientific publications, 2021
  • Dayanand Savakar, Danesh Telsang, Anil Kannur, paper accepted “Differentiating the body marks: Mole and Scar detection using Cubic Support vector machine approach” in Journal of Oriental Research Madras (UGC Care listed journal), ISSN: 0022- 3301, 2021
  • Dayanand Savakar, Danesh Telsang, Anil Kannur, paper published “Classification of Natural, Accidental and Artificial Body marks using Machine Learning Techniques” in Design Engineering Journal (UGC Care listed journal), Vol. 2021, issue 9, pp: 2252-2268, ISSN: 0011-9342, Dec 2021
  • Dayanand Savakar, Danesh Telsang, Anil Kannur, book Chapter published “Identification of Artificial body marks and Skin disorders marks using Artificial Neural Network Approach” in Springer’s Computational Vision and Bio Inspired Computing vol 1318, pp: 627-641, ISBN: 9783319717678, June 2021.
  • Dayanand Savakar, Danesh Telsang, Anil Kannur, book chapter Published “Artificial Neural Network for Identification and Classification of Natural Body Marks” in Lecture Notes in Electrical Engineering, Vol 733, pp:541-555. ISSN:1876-1119, Springer, Singapore April 2021.
  • N V Dharwadkar, Shivanand Poojara, Anil Kannur, paper Published “Identification of Reasons behind infant Cry Using Acoustic Signal processing and Deep Neural Network for Neonatal Intensive Care Unit”, in Special Issue: Deep Learning and Its Application in Big Data Information Retrieval of IJIRR Journal Volume 12, Issue 1, ISSN: 2155-6377, IGI Global Publication 2021.
  • “Dual Layer Security of data using combined technique of Cryptography and Stenography”. International Journal of Foundations of Computer Science in Vol. 32, Issue 06, 2021.
  • “An IOT Based Smart Helmet To Prevent Road Accidents” The Design Engineering, Vol. 2021, Issue 07, 20th Sept 2021.
  • “Generative Adversarial Networks based method for generating photorealistic Super Resolution images” in the Third International Conference on Materials Science and Manufacturing Technology 2021 (ICMSMT 2021) held at Hotel Aloft, Coimbatore, Tamil Nadu, India during 15 – 16, April 2021.
  • “Developing a Crowdfunding Platform using Ethereum Blockchain Technology”, Gradiva Review Journal, Vol. 8 Issue 7, July 2022.
  • Alert System for Driver Drowsiness, Gradiva Review Journal, Volume 8 Issue 7, July 2022.
  • “A Comprehensive Review on Brain Computer Interface”, NeuroQuantology, Vol. 20, Issue 8, pp. 2875-2892, July 2022.
  • “Learning Brain Computer Interface model for Amyotrophic Lateral Sclerosis (ALS) people using Random Forest – Linear Discriminant Analysis (RF-LDA) Algorithm”, INDICON 2022 IEEE 19th India Council International Conference. (Accepted)
  • “Novel System and Method Neighbor Classifier and Decision Tree Classifier For Predicting The Presence” 32747 ORDINARY APPLICATION 202241046948
  • “AI,ML Based Traffic Information Detection And Real Time Pothole Detection System” Published on 18th March 2022.
  • “IMDB Dataset Analysis, Prediction and Recommendation along With Computer Vision” Published on 26/08/2022