Information Science and Engineering

• 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 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 such as ParamShavak, High End Internet Facilities, wifi facilities, access to reputed journals like IEEE, Springer, Elsevier and many more.
• Alumni of the department pursue their higher studies within the country as well as abroad and some of the Alumnus is successful entrepreneurs.

• Thrust Areas include Pattern Recognition, Medical Image Analysis, Computational Linguistics, Biomedical Informatics, Computer Networks, Wireless Networks, IoT and Speech Signal Processing.

#	Program Educational Objectives:-The Graduates will be able to:
PEO – 1	Critically think and apply the principles of software engineering to solve real world problems.
PEO – 2	Contribute to research and development in cutting edge technology.

#	Program Specific Outcomes: –The Graduates will be able to:
PSO-1	Provide students with core competence in mathematics, scientific, and basic, engineering fundamentals to develop software applications.
PSO-2	Train students with knowledge and skills in core areas of system engineering, information processing and application development.
PSO-3	Inculcate students to excel in IT profession, entrepreneurship, and research with ethical standards

#	Program Outcomes-The Graduates will be able to:
PO-1	Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO-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.
PO-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.
PO-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.
PO-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.
PO-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.
PO-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.
PO-8	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9	Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-10	Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-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.
PO-12	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.

#	Program Outcomes: -The Graduates will be able to:
PO-1	An ability to independently carry out research/investigation and development work to solve practical problems.
PO-2	An ability to write and present a substantial technical report/document
PO-3	Students should be able to demonstrate a degree of mastery over the area as per the Software Engineering program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.
PO-4	Ability to develop and apply software engineering principles to solve real world problems.
PO-5	Analyse and apply emerging IT tools to model complex engineering activities.
PO-6	To excel in IT profession, entrepreneurship and research activities with ethical standards

The department Academic advisory committee comprises HOD, senior faculty, external academicians, members from industry, alumni members and student members. The committee will review the academic quality and suggest improvements in the related areas.

#	NAME WITH DESIGNATION NAME WITH DESIGNATION	CATEGORY
1	Dr. B.S.Mahanand Head of the Department	Internal Academician Chairman
2	Dr. D.S.Vinod Professor	Internal Academician Convener
3	Dr. Yuvaraju B N Professor Dept. of Computer Science & Engineering The National Institute of Engineering, Mysuru	External Academician
4	Raghavendra Udupa Senior Delivery Manager Infosys, Mysuru	Industry
5	Phalguna V Urs	Alumni
6	Dr. Umesh K K Associate Professor	Internal Academician Member
7	Final year class representative	Student

Program Assessment Committee – PAC is constituted to assess the academic process of the program.

The following are the roles of the Program Assessment Committee:

1. Assist in framing Course Outcomes and mapping COs to POs / PSOs.
2. Contribute in the Teaching Learning Process of the program.
3. Suggest additional assessment techniques other than CIE.
4. Verify the course and program attainment process.
5. Verify the action plans and their attainment in each course.

Program Assessment Committee:

1. D.S.Vinod

Professor, Dept of ISE

2. Dr Umesh K K

Associate Professor, Dept of ISE

3. S.P.ShivaPrakash

Professor, Dept of ISE

SI. No.	Category	Designation	Name of the Person
1	The Dean(s) of the Faculties	Ex-Officio Member	Dr. B Manoj Kumar
	Dean (Engineering & Technology)
2	Head of the Department	Chairperson		Dr. B S Mahanand
3	All Professors of the Department	Members		Dr. B S Harish
4	Two Senior Associate Professors of the concerned Department by rotation	Members	1	Dr. D S Vinod
			2	Dr. Umesh K. K.
5	One Senior Assistant Professor of the concerned Department by rotation	Member	1	Dr. R J Prathiba
6	One External Subject Expert from any reputed Academic /Research Institution/ Other Universities nominated by the Academic Council	Member	1	Dr.Uttam Kumar Assistant Professor,  Infosys Foundation Career Development Chair Professor International Institute of Information Technology Bangalore uttam@iiitb.ac.in
7	One External subject expert from any reputed Academic / Research Institutions/other Universities nominated by the Vice Chancellor upon recommendation by the Dean of respective faculty.	Member	1	Dr.Suresha, PhD ( IISC) Professor Department of Studies in Computer Science University of Mysore sureshasuvi@gmail.com
8	Two external members from concerned industry/Government Departments/Public Sector undertakings/ allied area relating to placement, nominated by the Academic Council upon recommendation by the Dean of respective faculty.	Members	1           2	Mahesh S Associate Group manager SLK Software Bangalore manuchith@gmail.com   Jyothi Balraj Wipro technologies Electronic city Phase 1 Bangalore 560100 jyothi.balraj@wipro.com
9	One postgraduate meritorious alumnus, to be nominated by the Head of the Department.	Member	1	Rakshith U J Principal Product Manager AI/ML Platforms and Services Walmart labs, Bangalore rakuppin@gmail.com
10	The Chairperson, Board of Studies, may with the approval of the Vice Chancellor, co-opt as Members: a)   One external subject expert    from reputed Academic/Research Institution/Other Universities/Industry/Government departments/public sector undertakings, whenever special courses of studies are to be formulated.	Members		Sharath Chandra N Solution Architect – Applications Tata Consultancy Services, Bengaluru csharu_n@yahoo.com
	b) Two other members of faculty of the concerned Department.		1	Dr. S P Shiva Prakash Associate Professor
			2	Dr. Pradeep M Assistant Professor

Quality Monitoring and Administration Committee (QMAC):

1. VanishriArun
2. Sindhu G
3. Shruthi N

Teaching and Learning Committee (TLC):

1. Vani H Y
2. Sindhu A.S

Academic Committee (AC):

1. C K Roopa
2. Tejaswini M

Department Support Activities Committee (DSAC):

1. Dr. S.P.ShivaPrakash
2. Kaveri T S
3. Lavanya M.S

Research & Development Committee (RDC):

1. B S Harish
2. Dr .D.S.Vinod

Laboratory Development Committee (LDC):

1. Manju N
2. Malapriya S

Time table committee (TTC):

1. R.J. Prathibha
2. Shyla Raj

ERP committee:

1. Manju N
2. Praveen Murthy K.S

For mentoring students, the class is divided into groups of 20 students and a mentor is assigned for each group.

 

SEM	Branch	Faculty Advisor
4 Year	IS	Dr. C K Roopa, Shyla Raj, Dr.B.S Harish
3 Year	IS	Dr.R.J. Prathibha, Dr.VanishriArun, Dr.Vani H.Y, Dr.B.S.Mahanand
3 Year	CSBS	Dr. C K Roopa, Shyla Raj, Dr.Manju N
2 Year	IS	Sindhu G, Praveen Murthy K.S, Tejaswini
2Year	CSBS	Kaveri T.S, Malapriya M.S

Details of Lab facilities

Sl. No.	Name of the Facility	Specialized Equipment Name	Equipment details	Utilization details from the perspective of PO attainment
1	Machine Learning and Data Science	DELL Precision 3630 Tower Workstation     Quantity 10 Nos.	·      DELL Precision 3630 Tower Workstation ·      Intel Xeon E-2124G, 4 core,8MB cache3.4GHz, ·      4.5 GHz turbo mother board Intel c236 Chipset ·      8GB RAM, HDD 2TB 7200rpm, ·      GRAPHICS CARD NVIDIA QuadroP2000 ·      4GB DDR5RAM	The lab is utilized to implement project on machine learning /deep learning algorithms for various applications   such as Advanced Algorithms, Computational Intelligence,            Bio Informatics, Big Data Analytics, Cloud Computing, Internet of Things.
		PARAM SHAVAK Quantity 1 Nos.	·         2 multi core CPU with 12 cores. ·         Speed 3Teraflops ·         2 Nvidia P500GPU ·         RAM 96 GB
2	Computer Vision and Pattern Recognition	DELL Vostro 3900 Series,     Quantity 3 Nos.	·      Intel core I5 4460 processor 3.2GHz ·      windows 8.1 ·  4GB DDRRAM, ·  1TB SATAHDD, ·  19.5 TFT Monitor	The lab is exclusively meant for the research scholars of the department. The facility is made available 24/7 with advanced tools that can be used for their research work. Some of the funded projects are also executed in this laboratory. The research activities in the field of  Text Mining, Cyber Security, and Natural Language Processing
		HCL     Quantity 3 Nos.	·         2 GB RAM DDR2 ·         Intel core 2 duo processor ·         DVD writer, ·         160 GB HARDDISK, ·         17 inch LCD monitor
3	Network Operation Center	Servers 3 Nos	·         Sopho’s network firewall with 1000 concurrent users. ·         Having capabilities like Bandwidth management. Multilink Management, VPN, on appliance reporting, IPS, antivirus and web application Filtering.   ·         Brocade ICX 6650 HIGH DENSITY 10GB layer 3 switches having 32 10GBe SSP ports   ·         Layer2 switches: ICX 6450-6430-24p 24port GB switch for WIFI access points   ·         DNS Secondary server	Centralized Network Operation Centre facilitates campus networking, high speed internet connection, wi-fi access and firewall.
4	Software Laboratory – 1	DELL     Quantity 30 Nos.	·         i7 8th Generation Processor, ·         Q 370Processor ·         810G Mil Grad Chaises ·         256 GB Solid State Drive (this gives high performance) ·         22 inch Full High Definition Monitor with IPS panel, ·         5 Year K7 Antivirus: top end protection with internet security ·         8GB single chip RAM ·         Multimedia Keyboard. ·         Mouse. ·         System box with build in Graphics card (Pre-fitted) : UHD 630 ·         Built in Operating System: Windows 10. ·         Built in speaker.	The laboratory is equipped with high end devices which are used to conduct, design and implement mini projects, seminar.
		DELL Vostro 3900 Series,     Quantity 5 Nos.	·         Intel core I5 4460 processor,3.2GHz ·         windows 8.1Professional OS, ·         4GB DDRRAM, ·         1TB SATA HDD, ·         19.5 Wide TFT LED Wider monitor screen
		HCL     Quantity  6 Nos.	·         2 GB RAM DDR2, INTEL Core 2 DUO Processor ·         DVD writer ·         160 GB HARD DISK, ·         17”  LCD Monitor

 

Classroom

Department has spacious class rooms with adequate seating capacity. Each class room is provided with a Computer system, LCD Projector with screen facility for Audio/ Visual purpose. In addition Green glass boards and Podium are provided in each class room.

Academic Year 2022-23

 

Sl.No	Name of the FDP/Conference/Workshop Organized	Date
1	Data Analytics & Learning – Advanced Concepts	05/09/2022 to 10/09/2022
2	10 day online FDP on Computational Statistics”	01/08/2022 to 10/08/2022
3	One day workshop on “Cyber Security”	19/11/2022
4	Expert lecture on  Digital Forensics	29/11/2022
5	Expert lecture  on  “Brain v/s Capital”	27-12-2022
6	Expert lecture on data visualization	21/01/2023

 

Academic Year 2021-22

 

Sl.No	Name of the FDP/Conference/Workshop Organized	Date
1	Artificial Intelligence: Speech and Natural Language Processing	27/01/2021 to 31/01/2021
2	IoT with AI and Cyber Security	15/05/2021
3	AICTE sponsored 5 day Faculty Development Programme (FDP) on “Best Teaching-Learning and Assessment Practices in Computer Science/Information Technology based on National Education Policy (NEP)”	05/07/2021 to 09/07/2021
4	Operation research for Real world Problems	20/7/2021
5	Operation Research for Real time applications	22/11/2021
6	Automative Trends and Automated Driving  Automative Security	27/11/2021
7	STUDENT MENTORING FOR ACADEMIC SUCCESS	12/04/2022
8	Summer school programme on co-evolutionary hybrid intelligence and its application	18/7/2022 to 27/7/2022

The students are involved in organizing the technical events to share the information. Technical competitions and project contents are conducted through professional society like                          CSI, IEEE-SJCE, LCC for the benefit of the students.

 

Computer Society of India (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.

 

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.

 

 

The events conducted include Farrago which is an event where participants have to find their way out of a series of password protected puzzles,  Algorithms is an offline coding competition to test the skills and speed of programmers, PIXELTHON is a gaming event,  Kayaka is a mock placement event, Murder Mystery is a theme-based treasure hunt and Quarantine Knockouts is a weeklong Hackathon/Online Coding Contest.

 

 

IEEE – SJCE: IEEE – SJCE is a student branch under the Institute of Electrical and Electronics Engineering (IEEE), Mysuru, Karnataka. The motto of IEEE-SJCE is to “enhance the professional competence of budding engineers by ensuring that they are technically sound”. IEEE-SJCE has been performing extremely well from the last 29 years. IEEE-SJCE conducts STEM (Science, Technology, Engineering and Mathematics) workshops/talks which focus on the advanced trends in the technical field. It also imparts non-technical skill sets. Apart from workshops, the Women in Engineering (WIE) wing of IEEE-SJCE is engaged in humanitarian work, that includes bringing equitable education outcomes to underprivileged children.

 

Linux Campus Club : The main aim of The Linux Campus Club (LCC) to spread awareness about free and open source software among the students. The club encourages students to make the transition from proprietary software to FOSS (Free and Open Source Software). Sessions are conducted regularly by the members on basic linux features, various languages such as python and tools like lex and yacc.

 

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.

Particulars	2022-23	2021-22	2020-21	2019-20	2018-19
No of students	60	60	60	60	60
No of students placed	50	55	52	45	54
Higher studies	–	3	9	8	6

Academic Year 2022-23

 

Sl.No	Name of the FDP/Conference/Workshop Organized	Date
1	Data Analytics & Learning – Advanced Concepts	05/09/2022 to 10/09/2022
2	10 day online FDP onComputational Statistics”	01/08/2022 to 10/08/2022
3	One day workshop on “Cyber Security	19/11/2022
4	Expert lecture on  Digital Forensics	29/11/2022
5	Expert lecture  on  “Brain v/s Capital”	27-12-2022
6	Expert lecture on data visualization	21/01/2023

Academic Year 2021-22

Sl.No	Name of the FDP/Conference/Workshop Organized	Date
1	Artificial Intelligence: Speech and Natural Language Processing	27/01/2021 to 31/01/2021
2	IoT with AI and Cyber Security	15/05/2021
3	AICTE sponsored 5 day Faculty Development Programme (FDP) on “Best Teaching-Learning and Assessment Practices in Computer Science/Information Technology based on National Education Policy (NEP)”	05/07/2021 to 09/07/2021
4	Operation research for Real world Problems	20/7/2021
5	Operation Research for Real time applications	22/11/2021
6	Automative Trends and Automated Driving  Automative Security	27/11/2021
7	STUDENT MENTORING FOR ACADEMIC SUCCESS	12/04/2022
8	Summer school programme on co-evolutionary hybrid intelligence and its application	18/7/2022 to 27/7/2022

• PavanSondur, Founder, UnbxdInc, USA
• KaushikPendurthi Founder, Locket
• MeghanaShanbough, Fighter Pilot, Indian Airforce
• GautamRamdurai Google
• Darshan, Microsoft
• DaanishSuhail, Co-founder, Playo

Faculty members and research scholars undertake research work along with their regular teaching workload. They have published around “In_Numbers”+ Articles in Journals / Conferences. Some of the quality publications are listed here.

Papers published in last Five years:

International Journals	International Conferences
86	73

Publication Details

Journals

2022-2023

1. Vanishri Arun, Hariprakash G., Sunilkumar D., “Development and validation of a comprehensive needs assessment tool to assess the burden of cancer chemotherapy patients attending a tertiary care hospital”, Journal of Cancer Research and Therapeutics, DOI: 10.4103/jcrt.jcrt_793_22
2. B. Krishnamurthy, A.P. Ananda, H. S. Nagendra Prasad, P. Prabhuprasad, N. Manju, C. S. Karthik, H.S. Jayanth, T.V. Logaraj, and K.R. Savitha.: “HR-LCMS assisted phytochemical screening of antioxidant, antibacterial activity of Priva cordifolia (L.f) Druce plant and molecular docking approach”, Results in Chemistry, Elsevier, 2023.

 

3. Manju, N., Samiha, C. M., Kumar, S. P., Gururaj, H. L., &Flammini, F. (2022). Prediction of Aptamer Protein Interaction Using Random Forest Algorithm. IEEE Access, 10, 49677-49687.
4. Vanishri Arun and MayuraTapkire, Application of Artificial Intelligence to correlate food formulations to disease risk prediction: a comprehensive review. J Food SciTechnol (2022).
5. Prathibha R.J. and SonaliNandish, “Natural Language Processing Approaches for Automated Multilevel and Multiclass Classification of Breast Lesions on Free-Text Cytopathology Reports”, published in JCO Clinical Cancer(2022).
6. Riphagen, J. M., Suresh, M. B., Salat, D. H., & Alzheimer’s Disease Neuroimaging Initiative (ADNI. (2022). The canonical pattern of Alzheimer’s disease atrophy is linked to white matter hyperintensities in normal controls, differently in normal controls compared to in AD. Neurobiology of Aging, 114, 105-112.
7. Mohana, S. D., Prakash, S. S., & Krinkin, K. (2023). CCNSim: An artificial intelligence enabled classification, clustering and navigation simulator for Social Internet of Things. Engineering Applications of Artificial Intelligence, 119, 105745.
8. Vanishri Arun and MayuraTapkire, Application of Artificial Intelligence to correlate food formulations to disease risk prediction: a comprehensive review. J Food SciTechnol (2022).

 

 

 

 

2021-2022

 

1. B S Harish, M S Maheshan, C K Roopa& R KasturiRangan, 2022. “An Improved Sclera Recognition using Kernel Entropy Component Analysis Method”, International Journal of Computational Vision and Robotics.
2. Maheshan, M. S., & Harish, B. S. (2021). A Modified Intuitionistic Fuzzy Clustering Approach for Sclera Segmentation. SN Computer Science, 2(4), 1-8.
3. Maheshan, M. S., Harish, B. S., &Roopa, C. K. (2021). Segmentation and Recognition of Sclera trait using Adaptive Gabor Filter. Annals of the Romanian Society for Cell Biology, 1207-1215.
4. Manju N and B S Harish, 2021. “Classification of Internet Traffic Data using Feedforward Network: An Approach using Reduced Number of Features”, International Research Journal of Engineering and Technology, vol. 7, pp. 581 – 588.
5. Harish, B. S., Maheshan, M. S., Roopa, C. K., & Kumar, S. V., An Unsupervised Hybrid Symbolic Fuzzy Clustering Approach for Efficient Sclera Segmentation. International Journal of Natural Computing Research (IJNCR), 10(1), 2021.
6. Manju, N., Samiha, C. M., Kumar, S. P., Gururaj, H. L., &Flammini, F. (2022). Prediction of Aptamer Protein Interaction Using Random Forest Algorithm. IEEE Access, 10, 49677-49687.
7. P. Shiva Prakash, Mohana S. D and Kirill Krinkin, “Service Oriented R-ANN Knowledge Model for Social Internet of Things”, Big Data and Cognitive Computing, volume:6, issue:1, Page: 32., 2022. DoI: https://doi.org/10.3390/bdcc6010032
8. Joost M. Riphagen ,Mahanand B S, David H. Salat “The canonical pattern of Alzheimer’s disease atrophy is linked to white matter hyperintensities in normal controls, differently in normal controls compared to in AD”. Neurobiology of Aging, 114, 105-112.
9. V. A. Kumar, E. Yaghoubi, A. Das, B. S. Harish and H. Proença, “The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, and Short/Long-Term Re-Identification From Aerial Devices,” in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1696-1708, 2021.

 

10. Shyla Raj,  Mahanand, B.S. &Vinod, D.S. “Diffuse lung disease classification based on texture features and weighted extreme learning machine”. Multimed Tools Appl, 2021.

 

11. Ashok V., Vinod D.S. “A Novel Fusion of Deep Learning and Android Application for Real-Time Mango Fruits Disease Detection”. In: Satapathy S., Bhateja V., Janakiramaiah B., Chen YW. (eds) Intelligent System Design. Advances in Intelligent Systems and Computing, vol 1171. Springer, Singapore,2021]

 

12. Narshetty P., Vani H.Y. “Speech to Sign Language Conversion Using Neuro Fuzzy Classifier”. In: Sabut S.K., Ray A.K., Pati B., Acharya U.R. (eds) Proceedings of International Conference on Communication, Circuits, and Systems. Lecture Notes in Electrical Engineering, vol 728. Springer, Singapore, 2021.

 

13. GunjanPahuja& T. N. Nagabhushan. “A Comparative Study of Existing Machine Learning Approaches for Parkinson’s Disease Detection”, IETE Journal of Research, 67:1, 4-14,2021.

 

14. K Padma and Pugazendi R. “Imparting OBE to the Younger Generation. Assessment Tools for Mapping Learning Outcomes with Learning Objectives”, edited by G. R. Sinha, IGI Global,  pp. 27-41, 2021.

 

15. P. Shiva Prakash, Meghana J, Hanumanthappa J, “Performance comparison of machine learning algorithms for data aggregation in social internet of things”, Journal of Global Transitions Proceedings (2021), Elsevier, Vol: 2, Issue:1, Pages:212-219, 2021, DOI: 10.1016/j.gltp.2021.08.032

 

16. P. Shiva Prakash and Varsha V, “A Review on Energy Optimization in Location-

Based Services for 5G and IoT Networks”, International Journal of Embedded and Real-Time Communication Systems, (IJERTCS), IGI Global Publications, Vol: 12, Issue:4, Pages:18-35, 2021, DOI: 10.4018/IJERTCS.2021100102

17. VanishriArun, Kumar, D. S., Prakash, B., Chandra, B. S., Kadkol, P. S., Thomas, J. J., … & Murthy, M. N. (2021). Technological innovations to improve health outcome in type 2 diabetes mellitus: A randomized controlled study. Clinical Epidemiology and Global Health, 9, 53-56.

 

18. VanishriArun, Prajwal V, Ramya MC, Santhosh Nagaraj, Krishnaveni GV, Caroline HD Fall, Murali Krishna, Validation of EURO-D, a geriatric depression scale in South India: Findings from the Mysore Study of Natal effects on Aging and Health (MYNAH)., Journal of Affective Disorders, 2021, ISSN 0165-0327, https://doi.org/10.1016/j.jad.2021.08.045.
19. Prathibha R. J., SonaliNandishManoli , “A Survey on Analysis and Classification of Breast Cancer”, published in International Journal of Current Research and Review, DOI:http://dx.doi.org/10.31782/IJCRR.2021.131821, | Vol 13 • Issue 18 • September 2021, pp 117-123. Section: Healthcare ISI Impact Factor: 1.628 (scopus indexed)

 

2020-21

1. Pahuja, Gunjan, Nagabhushan, T. N. and Prasad, Bhanu. “Early Detection of Parkinson’s Disease by Using SPECT Imaging and Biomarkers”, Journal of Intelligent Systems, vol. 29, no. 1, 2020, pp. 1329-1344, 2020.

 

2. P. Shiva Prakash, T.N. Nagabhushan and Kirill Krinkin,“Cognitive Analytics: Concepts, Methodologies, Tools, and Applications” (4 Volumes). IGI Global, 2020.

 

3. Pai, Srinivasa P. and Nagabhushana T. N. “Tool Condition Monitoring Using Artificial Neural Network Models”, Handbook of Research on Emerging Trends and Applications of Machine Learning, edited by Arun Solanki, et al., IGI Global, 2020, pp. 550-576, 2020.

 

4. S. Maheshan, B. S. Harish, N. Nagadarshan, “A Convolution Neural Network Engine for Sclera Recognition International Journal of Interactive Multimedia and Artificial Intelligence”, Vol. 6, Nº 1- 78 , 2020.

 

5. N Manju, BS Harish, N Nagadarshan. “Multilayer Feedforward Neural Network for Internet Traffic Classification”.- Int. J. Interact. Multim. Artif. Intell. 2020.

 

6. SV Kumar, E Yaghoubi, A Das, BS Harish, H Proença, “The P-DESTRE: a fully annotated dataset for pedestrian detection, tracking, re-identification and search from aerial devices”, – arXiv preprint arXiv: 2004.02782, 2020.

 

7. N Manju, BS Harish,“Classification of internet traffic data using ensemble method,- Progress in Computing, Analytics and Networking” , 2020.

 

8. MS Maheshan, BS Harish, SVA Kumar, “Sclera Segmentation using Spatial Kernel Fuzzy Clustering Methods. – ICPRAM”, 2020.

 

9. Kumar, H. M. Keerthi and Harish, B.S…“A New Feature Selection Method for Sentiment Analysis in Short Text” Journal of Intelligent Systems, vol. 29, no. 1, pp. 1122-1134, 2020.

 

10. Harish, B.S., Rangan, R.K. “A comprehensive survey on Indian regional language processing”. SN Appl. Sci. 2, 1204, 2020.

 

11. Abhishek D.P., Dinesh N., Shiva Prakash S.P. “Hybrid Machine Learning Model for Context-Aware Social IoT Using Location-Based Service under Both Static and Mobility Conditions”. In: Mallick P., Balas V., Bhoi A., Chae GS. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 1040. Springer, Singapore, 2020.

 

12. H Y, Vani and M A, Anusuya. “ANeuro Fuzzy Classifier with Linguistic Hedges for Speech Recognition. EAI Endorsed Transactions on Internet of Things”, 5 (20): 5. ISSN 2414-1399, 2020.

 

13. Y. Vani, MA Anusuya. “Fuzzy Speech Recognition: A Review, International Journal of Computer Applications”, 2020.

 

14. Y. Vani, MA Anusuya, ML Chayadevi.“Morlet-Kernel Principal Component Analysis Features for Speech Recognition, Journal of Computational and Theoretical Nanoscience”, 2020 Vol-17, Issue 9-10, 2020.

 

15. Raj, S., Vinod, D.S., Mahanand, B.S. et al. “Intuitionistic Fuzzy C Means Clustering for Lung Segmentation in Diffuse Lung Diseases”. Sens Imaging 21, 37,2020.

 

16. Raj S., Vinod D.S., Murthy N. “Classification of Diffuse Lung Diseases Using Heterogeneous Ensemble Classifiers. In: Patgiri R., Bandyopadhyay S., Borah M.D., Thounaojam D.M. (eds) Big Data, Machine Learning, and Applications. BigDML 2019. Communications in Computer and Information Science”, vol 1317. Springer, Cham, 2020.

 

17. C K Roopa, B S Harish ,“Automated ECG Analysis for Localizing Thrombus in Culprit Artery using Rule Based Information Fuzzy Network”, Int. J. Interact. Multim. Artif. Intell. 2020.

 

18. Prathibha, R. J.; ManjuSkanda, K. H.; Juned, S.; Shetty, Anup R.; Shashank, B. V.“Journal of Computational and Theoretical Nanoscience, Metric Analyzer for Kannada Verse Using Rule-Based Approach” ,Volume 17, Numbers 9-10, September/October , pp. 4007-4011(5),2020.

 

19. Y.Vani, M.A. Anusuya “Improving speech recognition using bionic wavelet features AIMS Electronics and Electrical Engineering”, 4(2): 200–215.

 

1. C K Roopa, B S Harish and S V Aruna Kumar., “Segmenting ECG and MRI Data using Ant Colony Optimization”., International Journal of Artificial Intelligence and Soft Computing, 2020

 

 

 

2019-20

 

1. V. Aruna Kumar, B.S. Harish, B.S. Mahanand, N. Sundararajan, “An efficient Meta-cognitive Fuzzy C-Means clustering approach,Applied Soft Computing”,Volume 85,2019,105838,ISSN 1568-4946,

 

2. VasilySachnev, S Suresh, N Sundararajan, B S Mahanand, Muhammad W Azeem, SarasSaraswathi, “ Multi-Region Risk-Sensitive Cognitive Ensembler for Accurate Detection of Attention-Deficit/Hyperactivity Disorder”, Cognitive Computation- Springer, Vol. 11, p545–559, March 2019.

 

3. Sonali N.M., Padma S.K., Nandini N.M., Rekha T.S. “Use of Modified Masood Score with Prediction of Dominant Features to Classify Breast Lesions”. In: Krishna A., Srikantaiah K., Naveena C. (Eds) Integrated Intelligent Computing, Communication and Security. Studies in Computational Intelligence, vol 771. Springer, Singapore, 2019.

 

4. Lohithashva B.H., ManjunathAradhya V.N., Basavaraju H.T., Harish B.S. “Unusual Crowd Event Detection”: An Approach Using Probabilistic Neural Network. In: Satapathy S., Bhateja V., Somanah R., Yang XS., Senkerik R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 862. Springer, Singapore, 2019

 

5. Arun V., Prajwal V., Girish A., Arunkumar B.V., Padma S.K., Shyam V. “Diabetic Retinopathy Risk Prediction for Diabetics Using Nearest Neighbour Approach”. In: Sridhar V., Padma M., Rao K. (Eds) Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, vol 545. Springer, Singapore, 2019.

 

6. Padma S.K“Design of Classifiers. In: Sinha G. (Eds) Advances in Biometrics. Springer, Cham. https://doi.org/10.1007/978-3-030-30436-2_6, 2019.

 

7. Kumar, H. M. Keerthi; Harish, B. S. “Automatic Irony Detection using Feature Fusion and Ensemble Classifier. International Journal of Interactive Multimedia & Artificial Intelligence” , Vol. 5 Issue 7, p70-79. 10p, Dec2019.

 

 

8. Prathibha R.J., Padma M.C. “Design of Syntax Analyzer for Kannada Sentences Using Rule-Based Approach”. In: Sridhar V., Padma M., Rao K. (eds) Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, vol 545. Springer, Singapore, 2019.

 

9. N Manju, B SHarish, “Ensemble Feature Selection and Classification of
   Internet Traffic using XGBoost Classifier”. J. Computer Network and Information Security, 7, 37-44, 2019.

 

10. H K Darshan, Aditya R Shankar, B S Harish, and Keerthi Kumar H M, “Exploiting RLPI for Sentiment Analysis on Movie Reviews”, Journal of Advances in Information Technology.Vol. 10, No. 1, February 2019.

 

 

11. Garg, Harish; Kumar, Kamal, “Correction to Some Aggregation Operators for Linguistic Intuitionistic Fuzzy Set and its Application to Group Decision-Making Process Using the Set Pair Analysis”, Arabian Journal for Science & Engineering (Springer Science & Business Media B.V.). Vol. 44 Issue 3, p2859-2859. 1p, Mar2019.

 

12. Revanasiddappa M.B., Harish B.S. “A New Framework to Categorize Text Documents Using SMTP Measure”. In: Ray K., Sharma T., Rawat S., Saini R., Bandyopadhyay A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore, 2019.

 

 

13. Mahesha, D.S. Vinod, “ Characterization of stuttering dysfluencies using distinctive prosodic and source features”,Editor(s): NilanjanDey, In Advances in ubiquitous sensing applications for healthcare,Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis,AcademicPress,Pages 89-107,2019.

 

14. Rao P.R., Gowda S.P., Prathibha R.J. “Paddy Yield Predictor Using Temperature, Rainfall, Soil pH, and Nitrogen”. In: Sridhar V., Padma M., Rao K. (eds) Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, vol 545. Springer, Singapore, 2019.

 

 

15. N Manju and B S Harish. “Symbolic Representation of Internet Traffic Data using Multiple Kernel Fuzzy C-Means”, International Journal on Soft Computing, Vol. No. 09, Issue. No. 04, pp. 1951-1955, July 2019.

 

16. Manju and B. S. Harish, “Multilayer Feedforward Neural Network for Internet Traffic Classification”, International Journal of Interactive Multimedia and Artificial Intelligence, Special Issue on Soft Computing, vol. 6, no. 1, pp. 117-122, 2019.

 

17. S. Maheshan, B. S. Harish, N. Nagadarshan.“A Convolution Neural Network Engine for Sclera Recognition”, International Journal of Interactive Multimedia and Artificial Intelligence, http://dx.doi.org/10.9781/ijimai.2019.03.006, 2019.

 

18. C K Roopa and B S Harish., “Automated ECG Analysis for Localizing Thrombus in Culprit Artery using Rule Based Information Fuzzy Network”, DOI:9781/ijimai.2019.02.001, 2019.

 

19. Prathibha R.J and Padma M.C., “Design of Syntax Analyzer for Kannada Sentences using Rule based Approach”, Emerging Research in Electronics, Computer Science and Technology [ICERECT-18]”, published in Lecture Notes in Electrical Engineering (LNEE) Series, Springer, Singapore,  ISBN: 978-981-13-5802-9, volume 545,  ,pp. 277-284,April 2019.

 

20. Vani H.Y., Anusuya M.A. “Fuzzy Variable Frame Analysis for Speech Recognition”. Current Trends in Signal Processing. 9(3): 9–18p, 2019.

 

21. Y. Vani, M.A. Anusuya and M.L. Chayadevi:“Fuzzy Clustering Algorithms – Comparative Studies For Noisy Speech Signals” Ictact Journal On Soft Computing, Volume: 09, Issue: 0319-20, April 2019.

 

 

2018-19

1. S. Mahanand, Bruce Fischl, David H. Salat, “Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer’s disease”, Human Brain Mapping – Wiley, Vol. 39, no. 4, pp. 1500-1515, April 2018.

 

2. C K Roopa and B S Harish., “Interpretation of ECG using Modified Intuitionistic Fuzzy c-Means Clustering for Arrhythmia Data”, Journal on Soft Computing, Vol. 9, No. 1, pp. 1795 – 1800, 2018.

 

3. B. Revanasiddappa ,B. S. Harish, “A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents”, IJIMAI, Vol. 5, Nº. 3, 2, páges. 106-117, 2018.

 

4. VanishriArun, Arunkumar B.V., Padma S.K., Shyam V. “Evidence-Based Technological Approach for Disease Prediction Using Classification Technique”. In: Guru D., Vasudev T., Chethan H., Kumar Y. (eds) Proceedings of International Conference on Cognition and Recognition. Lecture Notes in Networks and Systems, vol 14. Springer, Singapore, 2018.

 

5. Keerthi Kumar H.M., Harish B.S. “Classification of Short Text Using Various Preprocessing Techniques: An Empirical Evaluation”. In: Sa P., Bakshi S., Hatzilygeroudis I., Sahoo M. (eds) Recent Findings in Intelligent Computing Techniques. Advances in Intelligent Systems and Computing, vol 709. Springer, Singapore, 2018.

 

6. H M Keerthi Kumar, B S Harish, “Sarcasm classification: A novel approach by using Content Based Feature Selection Method”, Procedia Computer Science, Volume 143, Pages 378-386, ISSN 1877-0509, 2018.

 

7. Padma and R. Pugazendi, “Solving Classification Problems Using Projection-Based Learning Algorithm with Fuzzy Radial Basis Function Neural Network”, International Journal of Computational Intelligence and Applications VOL. 17, NO. 03,30 August 2018.

 

8. Arun, P. V., M. Krishna, A. B.V., P. S.K. and S. V., “A Boosted Machine Learning Approach For Detection of Depression,” IEEE Symposium Series on Computational Intelligence (SSCI), pp. 41-47, doi: 10.1109/SSCI.2018.8628945, 2018.

 

9. M.K. Kumar, B.S. Harish and H.K. Darshan, “Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method”, International Journal of Interactive Multimedia and Artificial Intelligence, pp. 1-7, 2018.

 

10. Aruna Kumar, S.V. and Harish, B.S. “A Modified Intuitionistic Fuzzy Clustering Algorithm for Medical Image Segmentation” Journal of Intelligent Systems, vol. 27, no. 4, pp. 593-607, 2018.

 

11. H M Keerthi Kumar and B S Harish. “A New Feature Selection method for Sentiment Analysis in Short Text”, Journal of Intelligent Systems, 2018.

 

12. S V Aruna Kumar, B S Harish and P Shivakumara., “A Novel Fuzzy Clustering based System for Medical Image Segmentation”, International Journal of Computational Studies, pp. 33 – 66, Vol. 7, DOI: 10.1504/IJCISTUDIES.2018.090165, 2018.

 

13. VanishriArun, Murali Krishna, Arunkumar B V, S K Padma, Shyam V, “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, 2018.

 

14. VanishriArun, AnithaGirish, S K Padma, Shyam V, “Diabetic Retinopathy Risk Prediction for Diabetics Using Nearest Neighbor Approach”, Emerging Research in Electronics, Computer Science and Technology, Proceedings of International Conference, ICERECT, Springer Publication, 2018.

 

15. VanishriArun, Ranjitha P., “Decision Making for Heart Disease Detection Using Hybrid Neural Network-Particle Swarm Optimization Algorithm”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, IJSRCSEIT, Vol 4, No. 6, 2018.

 

16. VanishriArun, Murali Krishna, S K Padma, Shyam V., “Risk Factor Analysis of Diseases Using Machine Learning Techniques”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, IJSRCSEIT, Vol 4, No. 6,2018.

 

17. C K Roopa and B S Harish., “Interpretation of ECG using Modified Intuitionistic Fuzzy c-Means Clustering for Arrhythmia Data”, Journal on Soft Computing, Vol. 9, No. 1, pp. 1795 – 1800,2018.

 

18. C K Roopa and B S Harish., “Automated ECG Analysis for Localizing Thrombus in Culprit Artery using Rule Based Information Fuzzy Network”, DOI:9781/ijimai.2019.02.001, International Journal of Interactive Multimedia and Artificial Intelligence, 2018.

 

 

 

Conference Publication

2022-2023   1.      Mayura D., Vanishri Arun, Ayush N Patel, Sayed Afnan and Deepshika Arun. ASSESSMENT OF NUTRITIONAL INFORMATION FOR DEVELOPMENT OF GLUTEN FREE RECIPES TO COMBAT CELIAC DISEASE USING ARTIFICIAL, National conference on Nutrition , 2022 2.      Mohana, S. D., Shiva Prakash, S. P., & Krinkin, K. (2023). Relationship LSTM Network for Prediction in Social Internet of Things. In Intelligent Systems and Applications: Select Proceedings of ICISA 2022 (pp. 133-141). Singapore: Springer Nature Singapore. 3.      Santhosh Kumar, K. S., Hanumanthappa, J., Shiva Prakash, S. P., & Krinkin, K. (2023). Relationship-Based AES Security Model for Social Internet of Things. In Intelligent Systems and Applications: Select Proceedings of ICISA 2022 (pp. 143-151). Singapore: Springer Nature Singapore. 4.      Bhavya, D., Vinod, D. S., Shiva Prakash, S. P., & Krinkin, K. (2023). GMM-EM-ACO Model for Congestion Free Routing in Social Internet of Things. In Intelligent Systems and Applications: Select Proceedings of ICISA 2022 (pp. 295-303). Singapore: Springer Nature Singapore. 5.      Madhan Kumar, G. S., Shiva Prakash, S. P., & Krinkin, K. (2023). KNN-Based Decision Model for Device Argumentation in Ambient Assisted Living. In Intelligent Systems and Applications: Select Proceedings of ICISA 2022 (pp. 483-492). Singapore: Springer Nature Singapore 6.      Urs, M. G. R., Shiva Prakash, S. P., & Krinkin, K. (2022). Artificial Neural Network Alert Classifier for Construction Equipments Telematics (CET). In Intelligent System Design: Proceedings of INDIA 2022 (pp. 147-155). Singapore: Springer Nature Singapore. 7.      Urs, M. G. R., Shiva Prakash, S. P., & Krinkin, K. (2022). Artificial Neural Network Alert Classifier for Construction Equipments Telematics (CET). In Intelligent System Design: Proceedings of INDIA 2022 (pp. 147-155). Singapore: Springer Nature Singapore. 8.      B S Harish, M S Maheshan, C K Roopa & R Kasturi Rangan, 2022. “An Improved Sclera Recognition using Kernel Entropy Component Analysis Method”, International Journal of Computational Vision and Robotics. 9.      S.P. Shiva Prakash, Mohana S. D and Kirill Krinkin, “Service Oriented R-ANN Knowledge Model for Social Internet of Things”, Big Data and Cognitive Computing,volume:6, issue:1, Page: 32., 2022. DoI: https://doi.org/10.3390/bdcc6010032 10.  S.P.Shiva Prakash, Mohana S.D and Kirill Krinkin “Semantic Rules for Service Discovery in Social Internet of Things,” In Proceedings of 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 119-124, Jan 2022 Doi: 10.1109/ICSSIT53264.2022.9716493. 11.  S.P. Shiva Prakash, G.S. Madhan Kumar and Kirill Krinkin. “Ensemble Method for User Activity classification in Ambient Assisted Living.” In Proceedings of International Conference on Innovative Trends in Information Technology (ICITIIT), IEEE, PP:1-7, Feb 2022. Doi: 10.1109/ICITIIT54346.2022.9744194 12.  Nagashree S and B.S. Mahanand “ Pneumonia Chest X ray Classification using Support Vector Machine”, 3rd International Conference on Data Science and Applications (ICDSA 2022)   13.  Priyanka Singh VANI H Y “Deployment and serving ML models using Kubeflow and KfServing ” ,Second International conference of advances in Computer Engineering and Communiction Systems-2022 ,Lecture Notes in Springer Nature 14.  Mohana S D, S.P.Shiva Prakash, and Kirill Krinkin, “Relationship LSTM network for prediction in Social Internet of Things”, 1st International Conference on Intelligent Systems and Applications-ICISA 2022, Lecture Notes in Electrical Engineering (Springer), PP:133-141, Jan 2023,

2021-22 R KasturiRangan and B S Harish., “KDC: New Dataset and Benchmark for Kannada Document Categorization”, Third International Conference on Machine Learning, Image Processing, Network Security and Data Science (MIND – 2022) (Springer), NIT Raipur, 11 – 12, December 2021. M S Maheshan, B S Harish and C K Roopa., “A New Symbolic Representation for Sclera Recognition”, The 9th International Workshop on Machine Learning, Pattern Recognition & Applications (MLPRA 2020), Barcelona, Spain, 25 – 29 January, 2021. Narshetty P., Vani H.Y. (2021) Speech to Sign Language Conversion Using Neuro Fuzzy Classifier. In: Sabut S.K., Ray A.K., Pati B., Acharya U.R. (eds) Proceedings of International Conference on Communication, Circuits, and Systems. Lecture Notes in Electrical Engineering, vol 728. Springer, Singapore. Ashok V., Vinod D.S. (2021) A Novel Fusion of Deep Learning and Android Application for Real-Time Mango Fruits Disease Detection. In: Satapathy S., Bhateja V., Janakiramaiah B., Chen YW. (eds) Intelligent System Design. Advances in Intelligent Systems and Computing, vol 1171. Springer, Singapore S.P.Shiva Prakash, Mohana S.D and Kirill Krinkin “Semantic Rules for Service Discovery in Social Internet of Things,” In Proceedings of 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 119-124, Jan 2022 Doi: 10.1109/ICSSIT53264.2022.9716493. S.P. Shiva Prakash, G.S. Madhan Kumar and Kirill Krinkin. “Ensemble Method for User Activity classification in Ambient Assisted Living.” In Proceedings of International Conference on Innovative Trends in Information Technology (ICITIIT), IEEE, PP:1-7, Feb 2022. Doi: 10.1109/ICITIIT54346.2022.9744194 Santhosh C.S., Umesh K K. “Comparative Study of Coffee Crop Yield Prediction based on Agronomic Factors using Machine Learning” at the International Conference on Advanced Research in Computer Science and Information Technology (ICARCSIT), PP 20-15, 2021, ISBN: 978-93-90150-28-1. Samanvitha, S., Bindiya, A. R., Sudhanva, S., &Mahanand, B. S. (2021, December). Naïve Bayes Classifier for depression detection using text data. In 2021 IEEE. 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT) (pp. 418-421). Nagashree S and B.S. Mahanand“ Pneumonia Chest X ray Classification using Support Vector Machine”, 3rd International Conference on Data Science and Applications (ICDSA 2022) Prathibha R J and Sharanya, “Recurrent neural network based parts of speech tagger for Kannada words” in International conference on recent trends in science and technology (ICRTST-2021). Prathibha R J and SonaliNandishManoli “Normalization of unstructured free text electronic health records on cytological breast lesions into structured records using natural language processing approaches” in International conference on recent trends in science and technology (ICRTST-2021).

 

 

2020-21

1.      Maheshan, M S; Harish, B. and Kumar, S. (2020). Sclera Segmentation using Spatial Kernel Fuzzy Clustering Methods.In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods – Volume 1: ICPRAM, ISBN 978-989-758-397-1, ISSN 2184-4313, pages 433-439. DOI: 10.5220/0008935704330439   2.      VanishriArun, FathimaNimra Khan (2020). Traffic Mishap Injury Severity: An Unsupervised Approach. Communicated for presentation at International Conference for Innovation and Technology (INOCON 2020) to be held during 06-08 November 2020.   3.      S.P.Shiva Prakash, Santhosh Kumar, Hanumantappa J, Chethan Raj, “Energy Efficient Parallel LEACH Protocol forS Underwater Wireless Sensor Network”, In Proceedings of International Conference on Recent Trendsin Science & Technology -2020(ICRTST -2020), Mysuru, INDIA, pp:78-84,  April 2020   4.      S.P.Shiva Prakash, Santhosh Kumar, Hanumantappa J, Shivashankar, “Design, Implementation, Evaluationand Analysis of Heterogenous Ternary Tree Based Dynamic Multi Hop (TTBDMH) LEACH”, In Proceedingsof International Conference on Recent Trends in Science & Technology -2020(ICRTST -2020), Mysuru, INDIA, pp:85-92,  April 2020 5.      S.P.Shiva Prakash, Likith T, “Image based classifier for chronic respiratory disease and swollen  Head syndrome in chickens using SVM”, In Proceedings of International Conference  on Recent Trends in Science &Technology -2020(ICRTST -2020) Mysuru, INDIA, pp:112-118,  April 2020   6.      VANI H Y, Noor Fathima (2020) ,presented “Building, Deploying and Validating a Home Location  Register(HLR) using Jenkins under the Docker and Container Environment” , International Conference on  Smart Electronics and Communication(ICOSEC 2020) Sept 11,12     7.      Prathibha R J, Pavan Gowda, Shishir “Text classification based on tableof contents using machine  learning approaches”, In Proceedings of International Conference on Recent Trends in Science& Technology -2020(ICRTST -2020), Mysuru, INDIA, April 20   8.      C K Roopa, B S Harish and R KasturiRangan., “Variants of Fuzzy C-means on MRI modality for  Cancer Image Archives”, Second International Conference On Artificial Intelligence and Data Engineering (AIDE-2020) (Springer), NITTE, India, 2020 (Best Paper Awarded).   9.      R KasturiRangan, and B S Harish., “Kannada Document Classification Using Unicode Term Encoding Over Vector Space”, Second International Conference On Artificial Intelligence and Data Engineering (AIDE-2020) (Springer), NITTE, India, 2020 .

 

2019 -2020

1.      B A Sujathakumari, M H Abhishek, Darshan Singh S, Aneesh K N, Rakesh D S, B. S. Mahanand “Detection of MCI from MRI using Gradient Boosting Classifier” has been accepted for presentation at IEEE International conference on “Advances Information Technology” (ICAIT – 2019), Chikkamagaluru, 25-27, July 2019.   2.      C K Roopa and B S Harish., “A New way of classifying Cardiac conduction using CNN and Neuromorphic Model”, Fourteenth International Conference on Pattern Recognition and Information Processing (PRIP 2019) (SPIE, Springer), Minsk, Belarus.     3.      Ž. Emeršiˇc, A. Kumar S. V., B. S. Harish, W. Gutfeter, J. N. Khiarak, A. Pacut, E. Hansley, M. Pamplona Segundo, S. Sarkar, H. Park, G. Pyo Nam, I. J. Kim, S. G. Sangodkar, U. Kacar, M. Kirci, L. Yuan, J. Yuan, H. Zhao, F. Lu, J. Mao, X. Zhang, D. Yaman, F. I. Eyiokur, K. B. Özler, H. K. Ekenel, D. Paul Chowdhury, S. Bakshi, P. K. Sa, B. Majhi, P. Peer, V. Štruc., “The Unconstrained Ear Recognition Challenge 2019” Competition organized by The 12th IAPR International Conference on Biometrics (ICB-2019), June 04 – June 07, 2019, Greece.   4.      C K Roopa, B S Harish., “A New way of classifying Cardiac conduction using CNN and Neuromorphic Model”, Fourteenth International Conference on Pattern Recognition and Information Processing (PRIP 2019) (SPIE, Springer), Minsk, Belarus.   5.      Bhavya D., Vinod D.S. and Shiva Prakash S.P., titled A Comparative Analysis of Machine Learning Algorithms For Healthcare Device Data of Social IoT accepted for presentation in the 25th Finnish-Russian University Cooperation in Telecommunication is FRUCT conference to be held at Helsinki, Finland from 5-8 December 2019.   6.      S.P. Shiva Prakash, Abhishek, Nidhi Dinesh, “Hybrid machine learning model for context aware social IoT using Location based service under both static and mobility conditions”, 2ndInternational Conference on Cognitive Informatics & Soft Computing (CISC-2019), Springer, pp-39-48, April 2019   7.      Shyla Raj, Vinod D.S. and Nagaraj Murthy, titled Decision Fusion Approach for Diffuse Lung Disease Classication accepted for presentation in the International Conference on Big Data, Machine Learning and Applications (BigDML 2019) to be held at NIT Silachur from 16-19 December 2019.   8.      S.P. Shiva Prakash, V. Varsha, Kirill Krinkin, “Energy Aware Handover in LBS Interference for               5G Dense Heterogeneous Network”, In Proceedings of the 25th International conference of FRUCT association, Helsinki, Finland, pp:578-586, Nov 5-8, 2019. ISSN 2305-7254, ISBN 978-952-69244-0-3,   9.      S.P. Shiva Prakash, Bhavya D, D.S. Vinod, “A Comparative Analysis of Machine Learning Algorithms for Healthcare Device Data of Social IoT”, In Proceedings of the 25th International conference of FRUCT association, Helsinki, Finland, pp:428-433, Nov 5-8, 2019. ISSN 2305-7254, ISBN 978-952-69244-0-3,   10.  Manju N and B S Harish., “Classification of Internet Traffic data using Ensemble Method”, Second International Conference on Computing Analytics and Networking (ICCAN 2019) (Advances in Intelligent Systems and Computing (AISC) Series, Springer ), 14-15 December 2019, Odisha, India.     2018-2019   1.      B. S. Mahanand, “Depression Detection using Neuroimaging and Machine Learning Approaches” IPS National Conference on Combat Depression, October 22-23 2018, Mysuru, India   2.      VasilySachnev,  B. S. Mahanand, “A Cognitive Ensemble Classifier based on Risk Sensitive Hinge Loss Function for Alzheimer Disease diagnosis in early stages”, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018), 18 – 21 November, 2018, Bengaluru, India   3.      B. S. Mahanand, M Kishor, R Suma, “ Autism Spectrum Disorders: Dilemmas in Clinical Approach, Advanced Machine Learning Tools & Therapy”, Global Autism Convention,  10- 12 December 2018, Bengaluru, India   4.      M.P. Pradeep,  B. S. Mahanand , “ADHD detection based on phenotypic data using K-Nearest Neighbor classifier”,  International Conference On Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT-2018), 14 – 15 December 2018, Mysuru, India     5.      C K Roopa, B S Harish and Aruna Kumar S V., “A Novel Method of Clustering ECG Arrhythmia data using Robust Spatial Kernel Fuzzy C-Means”, 8th International Conference on Advances in Computing & Communications (Elsevier Procedia), 13-15 September 2018, Cochin, India.   6.      H M Keerthi Kumar and B S Harish., “Sarcasm classification: A novel approach by using Content Based Feature Selection Method”, 8th International Conference on Advances in Computing & Communications (Elsevier Procedia), 13-15 September 2018, Cochin, India.     7.      M S Maheshan, B S Harish and N Nagadarshan., “On the use of Image Enhancement Technique towards Robust Sclera Segmentation”, 8th International Conference on Advances in Computing & Communications, (Elsevier Procedia), 13-15 September 2018, Cochin, India.   8.      C K Roopa, B S Harish and S V Aruna Kumar., “Classification of ECG Arrhythmia using Symbolic Dynamics through Fuzzy Clustering Neural Network”, Third International Workshop on Pattern Recognition (SPIE Indexed), Vol. 10828, Jinan, China, 2018.     9.      BS Harish and M B Revanasiddappa., “A New Approach of Categorizing Text Documents through Consensus Clustering”, 3rd International Conference on Knowledge Engineering and Applications, (IEEE – ICKEA 2018), June 25 – 27, 2018, Moscow, Russia.   10.  B S Harish and Manju N., “Hybrid Feature Selection Method using Fisher’s Discriminate Ratio to Classify Internet Traffic Data”, 3rd International Conference on Knowledge Engineering and Applications, (IEEE – ICKEA 2018), June 25 – 27, 2018, Moscow, Russia.   11.  H K Darshan, Aditya R Shankar, B S Harish, H M Keerthi Kumar., “Exploiting RLPI for Sentiment Analysis on Movie Reviews”, 3rd International Conference on Knowledge Engineering and Applications, (IEEE – ICKEA 2018), June 25 – 27, 2018, Moscow, Russia.   12.  M B Revanasiddappa, B S Harish, S V Aruna Kumar., “Meta-cognitive Neural Network based Sequential Learning Framework for Text Categorization”, International Conference on Computational Intelligence and Data Science (ICCIDS 2018) (Elsevier – Procedia), Vol. 132, pp. 1503 – 1511, 2018. 13.  C K Roopa and B S Harish., “An empirical evaluation of Savitzky-Golay (SG) filter for denoising ST segment”, Springer Third International Conference on Cognitive Computing and Information Processing (CCIP 2017) (Springer),Vol. 801, pp. 18 – 28, 2018. 14.  H M Keerthi Kumar, B S Harish, S V Aruna Kumar and V N ManjunathAradya., “Classification of Sentiments in Short-Text: An approach using mSMTP measure”, 2nd International Conference on Machine Learning and Soft Computing, Vietnam, pp. 145 – 150, 2018. 15.  VanishriArun, Murali Krishna, Arunkumar B V, S K Padma, Shyam V., Neural Network in a Projection Learning framework for Depression classification in MYNAH cohort, Symposium Series on Computational Intelligence, 2018. 16.  VanishriArun, Murali Krishna, Arunkumar B V., S K Padma, Shyam V., A Boosted Machine Learning Approach For Detection of Depression, Symposium Series on Computational Intelligence, 2018. 17.  VanishriArun, AnithaGirish, S K Padma, Shyam V., Diabetic Retinopathy Risk Prediction for Diabetics Using Nearest Neighbor Approach, International Conference on Emerging Research in Electronics, Computer Science and Technology- ICERECT 2018. 18.  VanishriArun, Ranjitha P., Decision Making for Heart Disease Detection Using Hybrid Neural Network-Particle Swarm Optimization Algorithm, Second National Conference on Engineering Innovations and Solutions – NCEIS 2018. 19.  VanishriArun, Murali Krishna, S K Padma, Shyam V., Risk Factor Analysis of Diseases Using Machine Learning Techniques,  Second National Conference on Engineering Innovations and Solutions – NCEIS 2018. 20.  C K Roopa and B S Harish., “An empirical evaluation of Savitzky-Golay (SG) filter for denoising ST segment”, Springer Third International Conference on Cognitive Computing and Information Processing (CCIP 2017) (Springer),Vol. 801, pp. 18 – 28, 2018. 21.  C K Roopa, B S Harish and S V Aruna Kumar., “Classification of ECG Arrhythmia using Symbolic Dynamics through Fuzzy Clustering Neural Network”, Third International Workshop on Pattern Recognition (SPIE Indexed), Vol. 10828, Jinan, China, 2018. 22.  C K Roopa, B S Harish and Aruna Kumar S V., “A Novel Method of Clustering ECG Arrhythmia data using Robust Spatial Kernel Fuzzy C-Means”, 8th International Conference on Advances in Computing & Communications (Elsevier Procedia), 13-15 September 2018, Cochin, India. 23.  Harish, B. S., and 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. 24.  S. P. Shiva Prakash, Apurwa Agrawal, “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, Apr 2018. Print ISBN: 978- 981-10-8680-9, Electronic ISBN: 978-981-10-8681-6 25.  S.P. Shiva Prakash, V. Chethan Kumar, Sergey Balandin, “Performance enhancement of optimized link state routing protocol for health care applications in Wireless Body Area Networks”, In Proceedings of 24thFRUCT international conference, PP: 195-2013, Nov 2018 26.  M. S. Maheshan, B. S. Harish, and N. Nagadarshan. “On the use of Image Enhancement Technique towards Robust Sclera Segmentation.” Procedia Computer Science Vol. 143, pp. 466-473, 2018. 27.  M. S. Maheshan, B. S. Harish, and M. B. Revanasiddappa. “Indexing-Based Classification: An Approach Toward Classifying Text Documents.” Information Systems Design and Intelligent Applications. Springer, Singapore, pp. 894-902, 2018.   28.  B S Harish., and N Manju.: “Hybrid Feature Selection Method using Fisher’s Discriminate Ratio to Classify Internet Traffic Data”, 3rd International Conference on Knowledge Engineering and Applications (ICKEA 2018), Russia, ACM, pp. 75-79, 2018

Sl. No.	Name of the Investigator	Funding Agency	Title of the project and duration	Amount sanctioned
1	Dr. B S Harish	VGST,GOK	Machine Learning in Automated Kannada Text Categorization 2019 – 2020 (1 Year)	500000
3	Dr. B S Harish	AICTE – RPS	Classification of text documents 2006 – 2008 (2 Years)	310,000
4	Dr.B.S.Mahanand	AICTE – RPS	Development of efficient tool for Accurate Digital Image Registration 2006-07 ( 1 Year)	5.75 lakhs

Sl. No	Year	Title of the patent Published	Application /Patent No.	Name of Inventors	Filed / Published Date (dd/mm/yyyy)
1.	2016	Inter USB Data Transfer Device	201641032658	Dr.VanishriArun	9/11/2016
2.	2019	A device for self recognition of veins and insertion of intravenous cannula procedure.	201941043568	Dr.VanishriArun	12-07-2019
3.	2021	Root cause analysis threat interpretation and network survivability prediction device for heterogenous networks survivability prediction device for heterogenous networks	20214000707	S.P.Shiva Prakash	07-01-2021
4.	2019	Solar energy based waste management system and method with timely alerts”	201941036846	DR.S.P.Shivaprakash	19/03/2021
5.	2021	A Novel Soft X-Ray Image Benchmark Dataset for Automatic, Non-destructive Internal Quality Detection of Mango Fruit	202141035062	D.S.Vinod	04-08-2021