Artificial Intelligence & Machine Learning

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Introduction

Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. The field of artificial intelligence has been an interdisciplinary endeavor, requiring deep knowledge of both computational and human sciences. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

Advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry. Moreover, the growing impact of AI on society demands that graduates are capable and ethical collaborators, able to ensure the safe and effective adoption of new technologies across domains.

The program begins with introductory courses in programming, computer science, mathematics, and statistics that provide a firm technical foundation. From there, learn core AI concepts and techniques including AI & ML Techniques, Virtual Reality, Web Applications using Machine Learning Techniques, Natural Language and Image Processing, Robotic Process Automation, Business Analytics, Speech Processing, Cognitive systems, Biometrics Systems, computer vision, and language understanding. The program includes a variety of advanced AI electives, enabling technical mastery in specific subfields. Also, specific electives are introduced that will focus on the Application of AI in various industry.

Labs and Practicals

  • Data Structures Lab, Algorithms Lab
  • Micro-controller and Embedded Systems Lab
  • AI and Machine Learning Lab
  • Web Applications Lab
  • Natural Language and Image Processing Lab
  • Mobile Application Development & Robotics Lab
  • Internet of Things Lab

Vision

To create well groomed, technically competent and skilled AIML professionals who can become part of industry and undertake quality research at global level to meet societal needs.

Mission

  • Provide state of art infrastructure, tools and facilities to make students competent and achieve excellence in education and research.
  • Provide a strong theoretical and practical knowledge across the AIML discipline with an emphasis on AI based research and software development.
  • Inculcate strong ethical values, professional behaviour and leadership abilities through various curricular, co-curricular training and development activities.

Program Educational Objectives (PEOs)

  • Graduates will follow logical, practical and research-oriented approach for solving the real world problems by providing AI based solutions.
  • Graduates will work independently as well as in multidisciplinary teams at workplace.
  • Graduates will setup start-up and become successful entrepreneurs.

Program Specific Outcomes (PSOs)

The graduates of AIML department will be able to

  • Train machine learning models to address real life challenging problems using acquired AI knowledge.
  • Develop applications using ML techniques related to the field of medical, agriculture, defence, education and various scientific explorations.

Program Outcomes (POs)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
PO2: 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
PO3: 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
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
PO5: 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
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 engineering practice
PO7: 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
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the 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 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 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

Course Outcomes (COs)

2018 Scheme Click Here

Department Advisory Board

Department Advisory Board

  • Mr. Sunil Kumar, Senior Assistant Professor & HoD, Chairperson
  • Dr. Prashanth C M, Principal, Member
  • Dr. Shreekumar, Associate Professor, CSE
  • Mr. Rajesh N. Kamath, Senior Assistant Professor, ISE
  • Ms. Radha E G, Assistant Professor, Member
  • Ms. Shruthi Kotekar, Adjunct Faculty & Industry Expert, Member
  • Dr. Narendra VG, Associate Professor Department of Computer Science & Engineering, MIT, Manipal, Academic Expert
  • Ms. Kavyashree Kotekar, Glowtouch Technologies, Mangalore, Industry Expert
  • Ms. Prarthana Bhat, CSE-2011, Sr. Data Scientist, GSK, Alumni Representative

Faculty

Faculty

Mr. Sunil Kumar S.

Position: Senior Assistant Professor
Phone: #
Email: sunil@mite.ac.in

Educational qualification

BE – Computer Science and Engineering

M.Tech – Software Engineering

Pursuing  Ph.D in Computer Science and Engineering (Wireless Sensor Networks)

Total experience

10 Years 6 Months

Area of Interest

  • IoT
  • Data Analytics

Professional Memberships

ISTE

Subjects Handled

  • Big Data Analytics
  • DBMS
  • Computer Network
  • Storage Area Network
  • Information Network Security
  • Data Mining
  • Software Engineering
  • File Structures
  • 8086 Microprocessor
  • Wireless Ad Hoc Networks
  • C++ Programming
  • C# Programming
  • Advanced DBMS
  • Unix System Programming
  • System Simulation & Modelling

Workshops/FDP’S/SDP’S Attended

10

Conference/Journal Publications

  • Sunil Kumar S., Aithal G., Venkatramana Bhat P. (2021) Design, Calibration, and Experimental Study of Low-Cost Resistivity-Based Soil Moisture Sensor for Detecting Moisture at Different Depths of a Soil. In: Chiplunkar N., Fukao T. (eds) International Conference on Advances in Artificial Intelligence and Data Engineering (AIDE2019), NMAMIT, Nitte, published in book series “Advances in Intelligent Systems and Computing”, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-15-3514-7_104.
  • Sunil Kumar S, Nagesh H.R, “WSN based Soil Moisture Stress Monitoring and identifying its association on Other Parameters on plants growth using hadoop Framework,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.7, pp.51-54, 2016.
  • S. G. Kanbargi and Sunil Kumar S, “Cache utilization for enhancing analyzation of Big-Data & increasing the performance of Hadoop,” 2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15), Bangalore, India, 2015, pp. 1-7, doi: 10.1109/ITACT.2015.7492645.
  • Sunil Kumar S, Sanjeev G Kanabargi, “Challenges for HDFS to Read and Write Using Different Technologies”, International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB154956, Volume 4 Issue 5, May 2015, 2837 – 2842
  • S. Pai, Y. Sharma, S. Kumar, R. M. Pai and S. Singh, “Formal Verification of OAuth 2.0 Using Alloy Framework,” 2011 International Conference on Communication Systems and Network Technologies, Katra, India, 2011, pp. 655-659, doi: 10.1109/CSNT.2011.141.
  • Kumar, Sunil S., Shyam S. Karanth, K. C. Akshay, Ananth Prabhu, and Bharathraj M. Kumar. “Improved aprori algorithm based on bottom up approach using probability and matrix.” International Journal of Computer Science Issues (IJCSI) 9, no. 2 (2012): 242.
  • Kumar, Sunil S., Santhosha Rao, and Shivaray Pai. “Moving Object Detection using Frame Interleaving and Clustering based Compression.” International Journal of Computer Technology and Applications 3, no. 4 (2012): 1583-1586.

Funded Projects

            Title : Technology Aided Agriculture Optimization

            Funding Agency : VGST

            Funding Amount : 40 Lakh

            Role : Co-Investigator

Mr. Sunil Kumar S.

Senior Assistant Professor

Dr.Prashanth C M

Position: Principal & Professor
Email: principal@mite.ac.in

Dr.Prashanth C M

Principal & Professor

Dr. Manjula Ramannavar

Position: Associate Professor
Phone: #
Email: manjula@mite.ac.in

Educational qualification

B.E. in CSE
M.Tech. in CNE
MBA in HRM
Ph.D. in Computer & Information Sciences

Total Experience: 20 years

Area of Interest:

Artificial Intelligence & Machine Learning, Big Data, Analytics, Natural Language Processing, Semantics

 Subject Handled ·   Compiler Design, Data Structures, Advanced Algorithms, Python Programming, System Simulation and Modeling, Object Oriented Programming using C++, Theory of Computation

 

Patents Published

  • “AI Based Glucose Monitoring System”  – 2024
  • “Vehicle Density Based Smart Traffic Control System with Prioritization for Emergency Vehicle”  – 2023

 

Accomplishments

  • Won Rising Women of India Award from Friendship Forum, India, on 14th May 2024.
  • Awarded as Leading Educationist of India 2024 from Friendship Forum, India.
  • Awarded Outstanding Woman Researcher in Artificial Intelligence at the 9th Venus International Women Awards – VIWA 2024 on the 2nd of March 2024 at Chennai, India.
  • Secured Second Rank to Visvesvaraya Technological University – VTU, Belagavi, Karnataka, India, for Master of Technology (M.Tech.). in Computer Network Engineering
  • Won the Best Paper Award for Paper titled “Big Data and Analytics – A Journey through Basic Concepts to Research Issues” presented at Springer International Conference on Soft Computing Systems (ICSCS) conference held at Tamil Nadu, India
  • Awarded a ANITAB.org GHC – Grace Hopper Celebration Faculty Scholarship to attend the virtual component of the 2022 Grace Hopper Celebration, from 20th to 23rd Sep 2022; the event was held at Orlando, US.
  • Selected for and participated in Teaching and Learning Studio workshop from Stanford University Hasso Plattner Institute of Design (d.school), the first of its kind in India, from June 21 to 24, 2017, Bengaluru. Also organized sessions and was the resource person too for GIT faculty and students.
  • Selected for and participated in the 7th Summer School on AI at IIIT, Hyderabad from 9th of July 2023 to 15th of July, 2023, at IIIT, Hyderabad.

Conference/Journal Publications

  1. Ramannavar M, Math M.M., (2023), “’Turning Straw into Gold’, using Semantic and Big Data Technologies for Competence Mapping”, 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, 2023, 2023-June, pp. 2852–2862
  2. Ramannavar M., Sidnal N.S. (2018) “A Proposed Contextual Model for Big Data Analysis Using Advanced Analytics”. In: Aggarwal V., Bhatnagar V., Mishra D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore
    Available at: https://link.springer.com/chapter/10.1007/978-981-10-6620-7_32
  3. Ramannavar M., Sidnal N.S. (2016) “Big Data and Analytics—A Journey Through Basic Concepts to Research Issues”. In: Suresh L., Panigrahi B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi
    Available at: https://link.springer.com/chapter/10.1007/978-81-322-2674-1_29
  4. Ashlin Deepa R N, S. Sankara Narayanan, Adithya Padthe and Manjula Ramannavar, “A Reduced Feature-Set OCR System to Recognize Handwritten Tamil Characters using SURF Local Descriptor” International Journal of Advanced Computer Science and Applications(IJACSA), 14(10), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141036
  5. Huddar M., Ramannavar M., Sidnal N.S., “Scalable Distributed First Story Detection Using Storm for Twitter Data”, IEEE 2014 International Conference on Advances in Engineering and Technology Research (ICAETR), 1stand 2nd August 2014, Kanpur, Lucknow. Available at: https://ieeexplore.ieee.org/document/7012915 

 

International  Journals

  • Manjula Ramannavar, Dr. Mallikarjun M. Math and Dr. Padmavati S. Dandannavar, “A Big Data and Semantics Assisted Knowledge Representation Model for Skill Mapping using Qualitative Approach, Hinweis Science and Engineering Vol.1, Issue 1, January 2023

Available online at: http://dl.thehinweis.com/journals-details.php?id=21&title=Hinweis%20 Science%20and%20Engineering

  • Manjula Ramannavar, Dr. Mallikarjun M. Math and Dr. Padmavati S. Dandannavar, “Turning Straw into Gold”, using Semantic and Big Data Technologies for Competence Mapping, Grenze International Journal of Engineering and Technology, Volume 9 Issue 1 (January 2023 Issue), 2395-5295(Online); 2395-5287(Print). Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=1765&id=8
  • Ramannavar M., Shrihari Joshi, “Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models”, International Journal of Innovative Research in Computer and Communication Engineering, Volume 9, Issue 6, June 2021
  • Kalghatgi M., Ramannavar M., Sidnal N.S., “A Neural Network Approach to Personality Prediction based on the Big-Five Model”, International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163, issue 8, Volume 2, August 2015.

https://www.ijirae.com/volumes/Vol2/iss8/09.AUAE10095.pdf

https://www.researchgate.net/publication/311789342_A_Survey_on_Big_Data_Analytical_Tools\

  • Jagtap M, Ramannavar M., “Authentication in Wireless Sensor Networks using Virtual Certificate Authorities”, International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459, ISO 9001:2008 Certified Journal), Volume 2, Issue 11, November 2012

https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.414.320&rep=rep1&type=pdf

 

International Conferences

  • Manjula Ramannavar, “Big Data Analysis using Semantic and Advanced Analytic Approaches” in the 9th Annual Women’s Meet – AWM 2024 (Scientific Conference ISBN: 978–81–969897–4–3 | Theme: To Cultivate Research Spirit and Create a Vibrant Community of Women in Science and Technology), Centre for Women Development, Venus International Foundation, 2/3/2024
  • Manjula Ramannavar, Dr. Mallikarjun M. Math and Dr. Padmavati S. Dandannavar, “Turning Straw into Gold using Semantic and Big Data Technologies for Competence Mapping”, at International Hybrid Conference on Advanced Research in Engineering and Technology (ARET), Kolkata, India during December 10-11, 2022 (Publication of Proceedings to be Scopus Indexed)
  • Ramannavar M., Sidnal N.S., “A Proposed Contextual Model for Big Data Analysis Using Advanced Analytics”, Computer Society of India (CSI) 50th Golden Jubilee Annual Convention, Delhi, 2nd– 5th December 2015
  • (Best Paper Award)Ramannavar M., Sidnal N.S., “Big Data and Analytics – A Journey through Basic Concepts to Research Issues”, Springer International Conference on Soft Computing Systems (ICSCS), Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, 20th and 21st April 2015
  • Kalghatgi M., Ramannavar M., Sidnal N.S., “Social Network Sourced Big Data Analytics for Personality Prediction – A Review”, International Conference on Emerging Trends in Engineering Sciences (ICETES), Jain College of Engineering, Belagavi, 25thApril 2015
  • Huddar M., Ramannavar M., Sidnal N.S., “Scalable Distributed First Story Detection Using Storm for Twitter Data”, IEEE 2014 International Conference on Advances in Engineering and Technology Research (ICAETR), 1stand 2nd August 2014, Kanpur, Lucknow  Available at: https://ieeexplore.ieee.org/document/7012915

 

National Conferences

  • Huddar M., Ramannavar M., “A Survey on Big Data Analytical Tools”, Innovative Developments and Emerging Research Avenues- IDEAS-13, 11thof Oct, 2013, KLS Gogte Institute of Technology, Belagavi.
  • Vandure S., Ramannavar M., “Big Data and Analytics – A Review of Big Data, Analytics and Techniques for Predictive Analytics” Innovative Developments and Emerging Research Avenues- IDEAS-13, 11thof Oct, 2013, KLS Gogte Institute of Technology, Belagavi.

Certifications

  • Certified for having undergone Innovation Ambassador(IA) training, “Foundation Level” (Total 15 sessions of 30 contact hours), conducted in online mode by MoE’s Innovation Cell, Govt. of India & AICTE during the calendar year 2021-22, issued on 7/10/2022
  • Certified as “IBM Certified Associate Developer”for Websphere Studio V5.0 by IBM.
  • Earned a badge from AWS Academy on completion of the “AWS Academy Cloud Foundations”Course on 14th of January 2022
  • Earned a badge from IBMon completion of the “Big Data Fundamentals” Course on 4th of April 2016

 

Workshops Organized and Participated

  • Organized 40+ Innovation and Entrepreneurship related activities including idea competitions, mentoring sessions, industry visits, expert talks, day celebrations, etc.
  • Organized 55+ activities at the department and college level including expert talks, workshops, orientation sessions, FDPs, etc.
  • Participated in 65 training programs including FDPs, workshops, seminars, webinars, etc.

Dr. Manjula Ramannavar

Associate Professor

Dr. Maryjo M George

Position: Assistant Professor

EDUCATIONAL QUALIFICATION: Ph.D.

EXPERIENCE: 2.5 years teaching

AREA OF INTEREST: Biomedical image processing, Multi

SUBJECTS HANDLED: Information theory and coding, Programming in C, Cyber security

WORKSHOPS/FDP/SDP ATTENDED:

  1. Three days FDP on ‘Writing Effective R&D Project Proposal and Funding Opportunities from Government Scientific Departments’ organized by IQAC and Research Council, MITE, Mangalore from 8th to 10th July 2023
  2. SERB sponsored two-day FDP on ‘Recent trends in bio-signal acquisition and research perspective in signal analyses’ organized by NSS college of engineering, Palakkad from 25th to 26th March 2022.
  3. Five days FDP on ‘Data analysis and mining with python’ organized by CMR Engineering college, Hyderabad from 8th-12th Nov 2021
  4. Seminar on Large Scale computational Bio medical Image Analysis and
    Informatics – Micro to Macro organized by SCOPE, VIT on 25th Oct 2017
  5. One day workshop on ‘Introduction to Molecular imaging- An educational session in pre-clinical and clinical imaging modalities’ organized by SELECT and SBST, VIT on 28th August 2017
  6. One week FDP on ‘Advanced image processing’ organized by SCOPE, VIT from 28th Nov to 2nd Dec 2016
  7. One day workshop on ‘Writing funded project proposals and publishing quality research papers’ organized by ASC, VIT on 20th Aug 2016
  8. Short term course on ‘Digital image processing and its applications’ organized by Communication Engineering division, SENSE, VIT from 14th to 22nd March 2016
  9. Three day national workshop on ‘Pattern recognition and classification’ organized by Digital Signal Processing division, SENSE, VIT from 12th to 14th Nov 2015
  10. One day workshop on ‘Scientific writing’ organized by Periyar E.V.R Central Library, VIT in association with Dept. of Library and Information Science, University of Madras on 30th Oct 2015
  11. Two days workshop on “Embedded Systems and Industrial Applications” organized by Dept. of ECE, SSN College of Engineering, Kalavakkam from 4th April to 5th April 2014

JOURNALS:

  1. Maryjo M George and Kalaivani S., “Retrospective correction of intensity inhomogeneity with sparsity constraints in transform-domain: Application to brain MRI”, Magnetic Resonance Imaging, Vol. 61, pp.207-223, Sept 2019, ISSN: 0730-725X. (SCI indexed, Impact factor: 3.13)
  2. Maryjo M George, Kalaivani S., Sudhakar M.S, “A non-iterative multi-scale approach for intensity inhomogeneity correction in MRI”, Magnetic Resonance Imaging, Vol.42, pp.43-59, Oct 2017, ISSN: 0730-725X (SCI indexed, Impact factor: 3.13)
  3. Maryjo M George and Kalaivani S., “A Diffusion based compensation approach for intensity inhomogeneity correction in MRI”, International Journal of Imaging Systems and Technology, Vol.30, No. 3, pp. 761-778, Sept 2020 (SCI indexed, Impact factor: 2.12)
  4. Maryjo M George and Kalaivani S., “A multi-scale framework for bias field estimation in MRI brain images,” International Journal of Engineering and Technology, Vol. 7 No.4.10, pp.197-201. Oct 2018, ISSN: 2227-524X. (Scopus indexed)
  5. Maryjo M George and Kalaivani S., “Intensity inhomogeneity correction and tissue segmentation of MR images: A parametric approach”, International Journal of Pure and Applied Mathematics, Vol.115, No.9, pp.409-416, Jul 2017, ISSN: 1311-8080. (Scopus indexed)
  6. Maryjo M George and K Vadivukkarasi, “Kalman Filtering For RSSI Based Localization System in Wireless Sensor Networks”, International Journal of Applied Engineering Research, Vol. 10, No.7, pp. 16429-16440, 2015, ISSN: 0973-4562. (Scopus indexed)
  7. Maryjo M George and Kalaivani S., “A view on atlas-based neonatal brain MRI segmentation”. In ICTMI 2017, Proceedings of the International Conference on Translational Medicine and Imaging, Springer, pp.199-214, 2019. ISBN: 978-981-10-4166-2. (Scopus indexed)
  8. Maryjo M George and S. Kalaivani, “Automatic tissue segmentation of neonatal brain MRI,” 2016 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, pp. 1-5, 2016, E-ISBN: 978-1-5090-1066-0. (Scopus indexed)

CONFERENCES:

  1. Maryjo M George and Kalaivani S., ‘A multi-scale framework for bias field estimation in MRI brain images’, Presented at Cambridge summit 2018, Cambridge university, UK,  Jan 2018
  2. Maryjo M George and Kalaivani S., ‘Intensity inhomogeneity correction and tissue segmentation of MR Images: A parametric approach’ , Presented at International conference on mathematical applications in engineering and technology, Tirupatur, Tamilnadu, Jan 2017
  3. Maryjo M George and Kalaivani S., ‘A view on atlas-based neonatal brain MRI segmentation’, Presented at Springer ICTMI 2017, Vellore, Tamilnadu, Sep 2017
  4. Maryjo M George and Kalaivani S., ‘Automatic tissue segmentation of neonatal brain MRI’, Presented at IEEE International conference on communication and electronics systems, Coimbatore, Tamilnadu, Oct 2016
  5. Maryjo M George and Kalaivani S., ‘Image compression techniques for medical images’, Presented at 11th national conference on Science, engineering and technology, Vellore, Tamilnadu, Nov 2015

 

Dr. Maryjo M George

Assistant Professor

Dr. YOGESWARA REDDY P

Position: ASSISTANT PROFESSOR
Email: yogeswara@mite.edu.in

Educational Qualification: M.Sc Mathematics., PhD (Fluid Dynamics)
Total Experience: 17 years

Technical Members:
Life member of (ISTAM) Indian Society for theoretical and applied Mechanics.
Life member of (ISTE) Indian society for technical education.
Life member of (ISRD) International Society Research and development

Patents published:
1. Title of the invention: SYSTEM AND METHOD FOR POLARIZATION MAINTAINING FIBRES OF TWIST SENSORS WITH DIFFERNT CLADDING DIAMETER
Application No: 202141016617A
Publication Date: 23-04-2021
2.Title of the invention: DOMESTIC BIRDS PROTECTIVE SYSTEM
Application No.201941001507 A
Date of Publication: 18-01-2019

Books Authored:
1. Authored a book titled ADDITIONAL MATHEMATICS – I for engineering students With ISBN- 978-81-935104-1-4.

Papers published journals:
1 Dr. Yogeswara Reddy P, Dr. GSS Raju “A Comparative study on carbon nanotubes-nano fluid flow through a tinny pointer under convective type boundary condition”, Vol 12, No.6 (2023), Pp.59-75, Eur. Chemical. Bull ISSN 2063-5346, 2023

Papers Presented at International conferences:
1.  “PERISTALTIC FLOW OF A CONDUCTING NEWTONIAN FLUID IN AN INCLINED CHANNEL UNDER THE EFFECTS OF HALL CURRENT” in an international conference ON applied science Engineering and technology held on 18th and 19th may 2017 at SSCE.
2.  “Influence of Magnetic field and Radiation on Heat and mass transfer flow of Nano fluid over an inclined vertical plate embedded in porous medium” in an International conference on Advances in Science, Engineering & Mathematics (ICASEM 2020) held on 7th to 9th August 2020 at Annamacharaya Institute of Technology and Science Rajampet, AP.

Workshop’s attended:
1. Attended a Three Days Workshop on “Outcome Based Education & Accreditation Process” held on 7th – 9th September 2023 organized at Vemana Institute of Technology, Bangalore by Dr. Ambedkar Institute of Technology, Bangalore, Under AICTE – Margdarshan (Share and Mentor Institutions) Scheme.
2. Participated in a Five Day International Faculty Development Program on “Applications of Mathematics in Various Fields with Innovative Approaches” organized by the Department of Mathematics, Bapatla Engineering College, Bapatla held from 21-11-2023 to 25-11-2023 through virtual mode.
3. Participated in One Week Virtual Faculty Development Program on “SageMath” conducted by Department of Mathematics, KG College of Arts and Science, Coimbatore from 26.06.2023 to 30.06.2023.Participated in the 5 days online International Faculty Development Program titled on “EDUCATION 4.0 the Future ahead” Organized by Internal Quality Assurance Cell in Association with Department of Science & Humanities during 10″ to 14″ August 2020.
4. Attended a five days’ online faculty development program on “Role of Mathematics in Academic Research and Technology” from 13th July 2020 to 17th July 2020 organized by Department of Mathematics, Vemana IT, Bengaluru-34
5. Participated in Two Weeks Faculty Development Programme (FDP) on LaTeX from 17.04.2020 to 30.04.2020 organized by Department of CSE, Gopalan College of Engineering and Management in association with IIT Bombay-Spoken Tutorial and successfully cleared LaTeX exam.
6. Participated in AICTE Sponsored Two Weeks Faculty Development Programme on “Massive Parallel Super Computing using OpenCL Framework on the Heterogeneous Computing Platform” Organized by Department of Computer Science and Engineering, from. 06th to 18th January 2020 at Don Bosco Institute of Technology, Bengaluru – 74.
7. Participated in AICTE Sponsored Two Weeks Faculty Development Program on “Recent Trends in Renewable Energy Resources” Organized by Department of Mechanical Engineering Sri Sai Ram College of Engineering during 16-12-2019 to 30.12.2019.
8. Participated in TEQIP-II sponsored National Workshop on “Recent Trends in Fluid Dynamics and Numerical Techniques” organized by Department of Mathematics, INTUA College of Engineering& (Autonomous), Pulivendula during 21st and 22nd October 2016.
9. Attended Two Day Workshop on “Innovative Pedagogy for Teaching and Learning Engineering Mathematics” (IPTEM) JNTUH College of Engineering Hyderabad on 29th and 30th June 2016.
10. Participated in the Two-day workshop organized by the Department of Mathematics, INTUH College of Engineering Hyderabad, J N T University, Hyderabad on 29th and 30th June 2016.
11. Participated in Faculty Development Programme on “Quality Initiatives in Technical & Higher Educational Institutions through Accreditation & Assessment” held during 16th to 18th December – 2015 organized by Vemana Institute of Technology.
12. Attended the course work on “Research Methodology” from 03-11-2014 TO 08-11-2014 at JNT University Anantapur, Ananihapuramu.
13. Participated in a Mission10X workshop conducted at VEMANA Institute of Technology at Bangalore from 1st Aug 2011 to 5th Aug 2011
14. Participated in the Staff Development Programme on An Interface with the Concepts in Linear Algebra held during 15th – 26th June 2009.

Dr. YOGESWARA REDDY P

ASSISTANT PROFESSOR

Ms. Radha E G

Position: Assistant Professor
Email: radha@mite.ac.in

Educational qualification

B.E – Computer Science & Engg

M.Tech – Computer Science & Engg

Total Experience: 3.5 years

Area of Interest: Image processing, Machine Learning

 Subject Handled ·       Data Structures and Applications ·       Discrete Mathematical Structures ·       Data Communication ·       Computer programming ·       Database management system·       Computer Organization and Architecture·       Digital Image Processing·       Design and Analysis of Algorithms·       Social Connect and Responsibility  

Workshops/FDP/SDP Attended:

  • Five Days Online Faculty Development Programme on “RPADD” Organized by UI path academic alliance, MITE, Mangalore [27th September to 1st October 2021].
  • One week AICTE-VTU joint teacher traninng program on “An Overview of Teaching Techniques in Innovation & Design Thinking” Organized by VTU-HRDC, Centre for PG Studies, VIAT, Muddenahalli, Chikkaballapur[27th to 31st December 2021].
  • Ten days online Faculty Development Programme on “Blockchain Technology-Applications,Issues and Challenges” organized by E&ICT Academy,NIT Waragangal and Mangalore Institute of Technolgy & Engineering,Mangalore during 21st February-2nd March,2022.
  • Ten days online Faculty Development Programme on”AI/ML for computer vision and medical image analysis applications” organized by E&ICT Academy,NIT Waragangal and REVA university,Bengalur during 18th-27th April,2022.
  • Five days online Faculty Develeopment Programme on “Introduction to Python and Its applications” Organized by VTU,Centre for PG Studies, VIAT, Muddenahalli, Chikkaballapur[13th to 17th March 2023].
  • Five days online Faculty Develeopment Programme on “Robotics & Artificial Intelligence” Organized by VTU,Centre for PG Studies, VIAT, Muddenahalli, Chikkaballapur[24th to 28th March 2023].

 

Conference/Journal Publications

  • Radha E G “Design and Implementation of Image dehazing using Histogram Equalization” in 3rd International Conference on Mobile Radio Communications & 5G Networks (MRCN 2022) on Feb 15,2023 [Springer Nature]

 

Ms. Radha E G

Assistant Professor

Infrastructure

Infrastructure

All the laboratories are well designed and equipped with latest computer systems. All systems are interconnected through LAN having sophisticated servers and internet connectivity with adequate bandwidth. All the laboratories have requisite software for undertaking all kinds of latest projects.

Major Labs

Algorithms Lab/ Artificial Intelligence Lab

The lab is equipped with 32 personal computers with latest configuration. PCs have windows 11 operating system with Java, Eclipse, Python and latest browsers. Students carry out programs related to Algorithms in Eclipse and Java and Artificial Intelligence practical in Python.

Data Structures/ DBMS lab

The lab is equipped with 32 personal computers with latest configuration. PCs are installed with Ubuntu operating system, C/C++, Java, MySQL and latest internet browser. Students perform practical related to solving data structure problems. Students perform database related practical and develop mini project in this lab.

Research Center

Research Center

Department Forum

Department Forum – ARTIFERA

ARTIFERA – ARTIFICIAL INTELLIGENCE ERA is a student association of Artificial Intelligence & Machine learning department established on 17 th November, 2021. Its main objective is to create awareness and groom professionals skilled in the area of Artificial Intelligence & Machine learning. All students of Artificial Intelligence and Machine learning department are members of this association. It provides platform to the students to enhance their technical as well as non technical skills. ARTIFERA organizes various technical events like technical talks, workshops, quiz, project competition and exhibitions etc. In addition, department forum aims to promote research and entrepreneurial skills in students. Students are encouraged to participate in non technical events also for their holistic development.
“Our intelligence is what makes us human, and AI is an extension of that quality.” – Yann LeCun

Committee Members – Academic Year 2024-25
1. President: Mr. Amogha Acharya , 4th Year AIML
2. Vice President:
oMr. Abdul Rehman , 3rd Year AIML
oMs. Nandini Jagadish Hegde, 3rd Year CSE(AIML)
3. Secretary: Mr. Manoj N, 4th Year AIML
4. Joint Secretary: Ms. Nandini V C, 2nd Year AIML
5. Treasurer: Ms. Jenisha Shereyl Dsouza, 2nd Year CSE(AIML)
6. Sports Coordinator: Mr. Sujal Revankar, 3rd Year CSE(AIML)
7. Cultural Coordinator: Ms. Hitha B Mendon, 4th Year AIML

 

Activity Report

Academic Year 2023-24 Click Here

Academic Year 2022-23 Click Here

Academic Year 2021-22 Click Here

Scheme & Syllabus / Resources

Study Materials

Syllabus

2018 Scheme – Click Here

2021 Scheme- Click Here

2022 Scheme- Click Here

2023 Scheme & Syllabus (Autonomous) – Click Here

 

Model Question Paper (Autonomous)

Third Semester 

Engineering Mathematics- IIIClick Here
Data Structures and Applications (23CSPC203)Click Here
Digital System Design  (23CSPC204)Click Here
Computer Organization (23SCPC205)Click Here
Software Engineering (23CSPC206)Click Here
Universal Human Values (23HMCC215)Click Here

Fourth Semester 

Engineering Mathematics- IVClick Here
Design and Analysis of Algorithms (23AIPC207)Click Here
Introduction to Machine Learning(23AIPC208)Click Here
Operating Systems (23AIPC209)Click Here
Object Oriented Concepts with Java Programming (23AIPC210)Click Here
Research Methodology & Intellectual Property Rights (23HMCC216)Click Here

Study Materials

Academic Year : 2024-25
Fourth  Semester 

Subject CodeSubject NameModule 1Module 2Module 3Module 4Module 5
23AIPC207Design and Analysis of AlgorithmsModule 1Module 2Module 3Module 4Module 5
23AIPC208Introduction to Machine LearningModule 1Module 2Module 3Module 4Module 5
23AIPC209Operating SystemsModule 1Module 2Module 3Module 4Module 5
23HMCC216Research Methodology & Intelellectual Property RightModule 1Module 2Module 3Module 4Module 5

Sixth Semester 

Subject CodeSubject NameModule 1Module 2Module 3Module 4Module 5
BAI601Natural Language ProcessingModule 1Module 2Module 3Module 4Module 5
BAI602Machine Learning -IModule 1Module 2Module 3Module 4Module 5
BIS613DCloud Computing and SecurityModule 1Module 2Module 3Module 4Module 5
BIKS609Indian Knowledge SystemModule 1Module 2Module 3Module 4Module 5

Beyond Syllabus

Beyond Syllabus

News Letters

News Letter