Introduction
The Bachelor of Engineering (B.E.) in Robotics and Artificial Intelligence is a dynamic and innovative program designed to equip students with the skills and knowledge required to excel in the rapidly evolving fields of robotics and AI. This interdisciplinary program combines fundamental principles of engineering with cutting-edge technologies, enabling students to design, develop, and implement intelligent robotic systems.
Throughout the course, students will delve into core subjects such as machine learning, computer vision, control systems, sensor technology, and robotic kinematics. They will learn how to integrate hardware and software components to create autonomous systems capable of solving complex real-world problems. The curriculum emphasizes hands-on learning, with practical labs and project-based assignments that allow students to apply theoretical concepts to practical scenarios.
Students will also explore ethical and societal implications of robotics and AI, preparing them to address challenges related to privacy, security, and the impact of automation on the workforce. The program fosters critical thinking, problem-solving, and teamwork skills, essential for success in this interdisciplinary field.
The Department of Robotics and Artificial Intelligence, starting from the year 2024-25 with an intake of 60. Graduates of the B.E. in Robotics and Artificial Intelligence will be well-prepared for careers in industries such as manufacturing, healthcare, agriculture, and defense, where they can contribute to the development of innovative robotic solutions and intelligent systems. They will also have a strong foundation for pursuing advanced studies and research in robotics, AI, and related areas.
Vision
Emerge as a center of excellence in Robotics and Artificial Intelligence by nurturing students to become innovative, ethical, and socially responsible technologists who can contribute to national development and global technological advancement.
Mission
- To Impart strong knowledge in Robotics, Artificial Intelligence, and allied domains, fostering innovation and technical competence.
- To Equip students with industry-relevant tools and state-of-the-art technologies to address real-world challenges.
- To Promote critical thinking, interdisciplinary learning, research, and entrepreneurship for societal benefit.
- To Inculcate professional ethics, effective communication, teamwork, and lifelong learning among students.
Program Educational Objectives(PEOs)
After successful completion of the program, the graduates will be able to
- Apply the principles of Robotics and Artificial Intelligence to design, develop, and deploy intelligent systems in diverse applications.
- Excel in professional careers, advanced studies, or entrepreneurial ventures through continuous learning, skill enhancement and adaptability to emerging technologies
- Demonstrate ethical responsibility, leadership, and societal impact while contributing to sustainable technological advancement.
Program Specific Outcomes(PSOs)
At the end of the program, graduates will be able to:
- PSO1: Apply the Knowledge of Mechanical systems, Electronics, and AI/ML techniques to design intelligent robotic solutions for real-world applications.
- PSO2: Design, develop, and implement robotic systems by integrating sensors, actuators, embedded hardware, and software platforms to meet the needs of industry and society.
Knowledge and Attitude Profile (WK)
- WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
- WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
- WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
- WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
- WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
- WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
- WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
- WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
- WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.
Program Outcomes (POs)
Engineering graduates will be able to
PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
Department Advisory Board
The Program Assessment Committee (PAC) of the Department of Robotics and Artificial Intelligence for the Academic Year 2025-26 is constituted with the following members:
| S.No | Name | Designation | Role |
| 1 | Dr.Ramalingam H M | Associate Professor & HoD | Chairperson |
| 2 | Dr. Prashanth C M | Principal | Member |
| 3 | Dr. Aveen K P | Senior Assistant Professor | |
| 4 | Dr. Adithya Hegde | Assistant Professor | |
| 5 | Dr. Raviraj Shetty | Professor, MIT, Manipal | Academic Expert |
| 6 | Mr. Aditya R Poonja | Machine Vision Engineer, Vanora Robots Pvt Ltd | Industry Expert |
| 7 | Mr. Subraya Nayak | Senior Software Engineer at Pace Wisdom Solutions | Alumnus (2015-19) |
| 8 | Mr. Nischith U | Associate consultant, Infosys | Alumnus (2017-21) |
FACULTY
Dr. Ramalingam H M
Educational Qualification
B.E. -Electronics and Communication Engineering
M.Tech- Digital Communication and Network Engineering
Ph.D – Cloud, Block Chain and Wireless Sensor Networks
Experience
14 Years(Teaching) + 1 Years(Industry)
Area of Interest
- Wireless Sensor Network
- Cloud computing, IoT, Block Chain
Professional Membership
- ISTE – LM 117767
- IAENG – 190993
- IEEE-93423981
Scopus Id: 57218712460
Google Scholar Id: 0sl13eUAAAAJ
Orcid Id : 0000-0003-3340-5330
Researcher Id : ADK-2990-2022
Vidwan-ID : 249508
Subject Handled
- Digital Signal Processing
- Signals and Systems
- Principles of Communication System
- Digital Communication
- Computer Communication Networks
- Wireless Communication
- Satellite Communication
- Multi Media Communication
- Cryptography
- Basic Electronics
- Electronic Principle & Circuits
- Power Electronics & Instrumentation
- Python Application Programming
- Design Thinking
Workshops / FDPs / SDPs / STTPs Attended/Conducted
- Completed Innovation Ambassador training Advanced Level Conducted by MoEs Innovation Cell & AICTE on 06-9-2023
- Completed Innovation Ambassador training Conducted by MoEs Innovation Cell & AICTE on 22-8-2022
- Participated FDP on Internet of Things for precision systems organized by Indian Institute of Information Technology, Design and Manufacturing
- Attended Blockchain Technology – Applications, Issues and Challenges , Organized by NIT- Warangal and MITE from 21-2-2022 to 2-3-2022
- Attended An Overview of Teaching Techniques in Innovation & Design Thinking, organized by VTU Human Resource Development Centre (VTU – Muddenahalli, Chikkaballapur 6 to 10 December 2021.
- Attended Three-day FDP on “In Alignment OBE & NEP 2020: Approaches for Quality Enhancement” at MITE
- Participated and Successfully completed One Week AICTE – VTU Joint Training Programme for Teachers on “An Overview of Teaching Techniques in Innovation & Design Thinking”
on 6th to 10th December 2021 Organized by VTU Human Resource Development Centre (VTU – HRDC), Centre for PG Studies, VIAT, Muddenahalli, Chikkaballapur - participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on “Internet of Things for precision systems” from 13/09/2021 to 17/09/2021 at Indian Institute of Information Technology, Design and Manufacturing.
- Completed Intellectual Property Workshop conducted by Strat up Karnataka in the month of June 2021.
- participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on ” SERVERLESS IOT FOR SOCIETAL PRODUCTS” from 2021-05-24 to 2021-05-28 at Indian Institute of Information Technology Kottayam.
- Attended Two Day National Open Workshop on “Getting Aligned to the Publishing Process”- Author Workshop at Elsevier, on Friday 25 September, 2020.
- Attended AICTE Sponsored Online Short Term Training Program on “Mathematical foundations of Machine Learning (Linear Algebra & Probability Basis)” organized by the Department of Electronics & Communication Engineering, NMAM Institute of Technology, Nitte-574110, Karnataka, India during 07th to 13th August 2020.
- Attended Three days FDP on Deep learning with data science and machine learning from 13-15 July 2020.
- Attended STTP on “Sensor, IoT & Machine Learning” from 1st June 2020 to 5th June 2020 conducted by, K. J. Somaiya College of Engineering, Vidyavihar, Mumbai.
- Attended “Online National Conference on Quality in Teaching Learning and Evaluation: A need for Academic excellence” conducted by St.Aloysius College, Jabalpur, M.P on 29th and 30th May 2020.
- Participated in “India Technology week @Home” organized by Electronics for you from 13th to 15th May 2020.
- Attended 5 days “Ui Path Educator Workshop” from 3rd to 7th June 2019 at SRM University Chennai.
- Participated in 2days Intellectual Property(IPR) Rights Workshop on 21st and 22nd February 2019 at SEC, Vamanjoor.
- Attended “Energy optimization in Data centers” on 5th February 2019 at IIT-Madras.
- Attended 3 days workshop on “Writing Research Proposal, IPR and Patenting” from 31st July 2nd August 2017. In ACS College of Engineering. Bengaluru.
- Attended TEQIP II Sponsored STTP on “ Recent Advances in MEMS Based virtual Instrumentation & Application (MBVIA’16)” organized by Pondichery Engineering college from 27th June to 2nd July 2016.
- Attended three days “Workshop on Research methodologies and Latex” at MITE, Moodabidri. from 19th -21st july 2016.
- Attended FDP on “Industrial digital design with verilog HDL” organized by department of ECE, AIET Mijar during 29th & 30th December-2014.
- Participated in a 3-days workshop On “Signals & systems Using Matlab & Simulink” organized by Department from 30th April to 2nd May 2013 at MITE-moodabidri.
Conferences:
- Perumal B., Pallikonda Rajasekaran M., and Ramalingam H M, “WSN Integrated Cloud for Automated telemedicine (ATM) Based E-Healthcare Applications” International Conference on Bioinformatics and Biomedical Technology (ICBBT 2012), Singapore, 26th – 28th Feb, 2012.
- H.M.,Perumal.B., “Wireless Sensor Grid Architecture for e-health care application in cloud environment”, Proceedings of the National Conference on VLSI, Embedded and Communication systems (NCVEC 2012) Jan-2012.
- Ramalingam H M, Pallinkonda Rajasekaran M, “Three tier sensor grid architecture for e-health care application in cloud environment”, IEEE International Conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC). 28th & 29th January 2018.
- Ramalingam H M , Mallikarjun Biradar , “Survey on Energy Efficient Routing Simulation in WSN”, All India Conference on “Emerging Engineers and Building up Technical Innovation in Modern Era in The Institution of Engineers (India). On September 15th 16th, 2014.
- Ramalingam H M, Pallinkonda Rajasekaran M, Nagesh H R, “A Secure Multi-tier Framework for Healthcare Application Using Blockchain and IPFS”, International Conference on Communications and Cyber Physical Engineering 2022.
- Ramalingam H M, Nagesh H R and Chethan, “AN IOT BASED SMART GROCERY MONITORING SYSTEM”, Global Conference on “Advanced Smart and Sustainable Technologies in Engineering (GCASSTE-2020), MITE- Moodabidri-30-1-2020.
- Ramalingam H M, Mohamed Fazil , Pallikonda Rajasekaran M, Kottaimalai R, Vishnuvarthanan G , “Edge-Driven Biometrics and Facial Recognition for Virtual Assistant “, 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE), December 14 – 15, 2023, Madurai, India.10.1109/ICEMCE57940.2023.10433957
- M. Pallikonda Rajasekaran, K. Rajesh, R. Jenitha, Ramalingam H.M, ” Agronomic Soil Testing Miniature with WSN”, 2023 Innovations in Power and Advanced Computing Technologies, 12/8/2023 Kuala Lumpur, Malaysia.
- UP Narendra, M Prabhakar, BS Pradeep, HM Ramalingam, “Externalization of tacit knowledge using context maps” , International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024), Kuala Lumpur, Malaysia https://doi.org/10.1117/12.3030552.
Journals
- Sanathkumar S J, Ramalingam H M, Yajnesh K, Sheshank Kulkarni, “Pothole Detection using TINYML” , International Journal of Scientific Research in Engineering & Management, Volume-9, Issue-3, 2024
- Ramalingam, H.M., Ajay, Kotian, D., Sequeira, “A Comparison Study of Abnormal Human Activity Analysis” ) Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering . ICCCE 2024. Lecture Notes in Electrical Engineering, vol 1096. Springer, Singapore. https://doi.org/10.1007/978-981-99-7137-4_50
- Sanathkumar S J, Ramalingam H M, Yajnesh K, Sheshank Kulkarni, “A REVIEW ON RISK-BASED ANALYSIS USING STATIC AND DYNAMIC IDENTIFIERS” ,International Journal of Advanced Research in Computer and Communication Engineering, Vol. 12, Issue 6, June 2023.
- Ramalingam H M Ajay , Dishu Kotian, Elroy Sequeira, “Unusual Behavior Detection: An Analysis of Abnormal Human Activity”‘,International Journal of Advanced Research in Computer and Communication Engineering, Volume 12, Issue, 4 , Pages 1161-1168. 2023.
- Rithin M Ramalingam H M , Vismita Kuppayya Naik , Sushan S Hegde , Sharon Joyel Lobo, “Implementation of a Password less Multifactor Authentication Scheme”, International Journal of Advanced Research in Computer and Communication Engineering ,Volume 12,Issue 4,Pages 361-365. 2023.
- Ramalingam, H.M., Nagesh, H.R., Rajasekaran, M.P. (2023). A Secure Multi-tier Framework for Healthcare Application Using Blockchain and IPFS. In: Kumar, A., Mozar, S., Haase, J. (eds) Advances in Cognitive Science and Communications. ICCCE 2023. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-8086-2_67.
- Ramalingam H M Mohamed Fazil , Rohan S , Ashritha C , Nagesh Shetty, “Smart Irrigation for Crop Management Using IoT”, INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS, Volume-5, Issue -5 ,Pages 921 – 928, 2022.
- Aditya Umesh Shet, Sheikh Rameez Ibrahim, Mayuri Joshi, Shon Lesly Menezes, Ramalingam H.M, “Implementation of Efficient Inception V2 model for Apparel Counterfeit Detection”, International Journal of Innovative Science and Research Technology, Volume- 7,Issue-4, Pages 871 – 877, 2022.
- Sarath Sabu∗, H.M. Ramalingam, M Vishaka, H.R. Swapna, Swaraj Hegde, “Implementation of a secure and privacy-aware E-Health record and IoT
data sharing using blockchain” Global Transitions Proceedings, 13 August 2021. - Kakuthota Rakshitha∗, Ramalingam H M, M Pavithra, Advi H D, Maithri Hegde, “Sentimental analysis of Indian regional languages on social media” Global Transitions Proceedings, 13 August 2021.
- Ramalingam H M, Pallinkonda Rajasekaran M, Nagesh H R “Experimental Study of High-Performance Computing in Three Tier Architecture for E-Health Care Application” International Journal of Advanced Science and Technology, 29(7), 11078-11085. June 2020.
- Ramalingam H M, Pallinkonda Rajasekaran M, Nagesh H R “WBAN Implementation in a Parallel Processing Environment for E-Healthcare Applications” International Journal of Future Generation Communication and Networking Vol. 13, No. 4, (2020), pp. 4963–4969.
- Akshay P N, Ramalingam H M, Nisarga, “Email Client Automation With RPA”, Journal of critical reviews 7(19): 787-795 July 2020.
- HM Ramalingam,HR Nagesh, M Pallikonda Rajasekaran, “WBAN implementation in a parallel processing environment for E-healthcare applications”, nternational Journal of Future Generation Communication and Networking, Volume- 13, Issue- 4, Pages 4963-4969, 2020.
- HM Ramalingam, HR Nagesh, M Pallikonda Rajasekaran, “Review on bio-signal processing software packages”, ; International Journal of Advance Research, Ideas and Innovations in Technology, (Volume 6, Issue 5), 2020.
- Mallikarjun Biradar, Ramalingam.H.M , “LEACH and DD LEACH Simulation Comparison in OMNET++ Environment” , International Journal of Electrical and Electronics Research( IJEER), ISSN 2348-6988(online). Vol. 3, Issue 2, pp:(487-490), April-June 2015.
- Sachinkumar H Pujar, Ramalingam.H.M, “Scaled Hybrid permutation network for multicore system” , International Journal of Combined Research & Development (IJCRD) , eISSN:2321-225X; pISSN:2321-2241 Volume: 2; Issue: 6; June -2014.
Patent Details
- System and Method For Extensions To Subword Analysis Of Small Vocabulary And Large Vocabulary ASR with Application No: 2021104848 Australian Patent Granted on:15/06/2022
- Method of Store and Share The Electronic Health Records, IoT Data In A Secure And Privacy Aware Manner, Indian Patent Application No: 202241009289 , Published on 3-4-2022.
- IOT Based Kitchen Cabinet and The Method of Stock Monitoring, Indian Patent Application No: 202241014876, Published in the Patent office Journal No. 12/2022 Dated: 25/03/2022.
Invited Talks
- ‘Emergency Communication’ on invitation by Andra Pradesh State Disaster Management Authority , Government of Andra Pradesh July 2017.
- Intellectual Property Rights , Canara Engineering College, Mangalore.
- Delivered Keynote address in the MANGALORE (NATIONAL IP YATRA) event on 13 & 14 Feb,2024.
- Delivered a Session on “AI in Natural Language Processing “, in Faculty Development program AI: The omnipresent Sapient on 24-6-2024 organized by Department of MCA, Kalasalingam Academy of Research & Education, Tamil Nadu
- Delivered an Expert Talk on “Transforming Ideas into impactful Projects: Hackathon insights” on 20-8-2024 organized by the Department of Data Science & Engineering, Manipal University , Jaipur.
Achievements
- The Project ‘AI Based Crop Management System’ Won the First Prize with a Cash Prize of US $10,000 in the ‘Global TIBCO Labs IoT and Sustainability Hackathon 2022’
- Guided Projects won Best Project Award at Unisys India National Project Competition
- ‘SoP Monitoring System using AI for Covid Management’, 2022 (Won Cash Prize of INR 1.25 Lakhs)
- ‘Smart Telematics System’, 2019 (Won Cash Prize of INR 1 Lakh)
- ‘Co-Di-Ra Messenger for Disaster Management‘, 2017 (Won Cash Prize of INR 1.25 Lakhs)
- ‘Triplet Li-Fi for Improved Data Rate’, 2016 (Won Cash Prize of INR 1 Lakh)
Dr. Ramalingam H M
Associate Professor & HOD
Dr. Aveen K P
Qualification
BE – Mechanical Engineering
M. Tech – Manufacturing Science and Engineering
Ph.D – Composite Materials
Experience
10 Years
Subjects handled
- Control Engineering
- Material Science
- Operation Research
- Metal Casting & Welding
- Mechatronics
- Computer Aided Machine drawing
Area of Research Interest
- Composites
- Rapid Prototyping
- Coatings
Publications
International Conferences
- Second International Conference on Polymer Composites- 2018 on December 15-16, 2018.
- International Conference on Advances in Manufacturing, Materials & Energy Engineering (ICon MMEE) on 2nd and 3rd March 2018.
International Journals
- K. P. Aveen, Vishwanath Bhajantri, Rueben D’Souza, Neelakantha V. Londe, and Sudhakar Jambagi “Experimental analysis on effect of various fillers on mechanical properties of glass fiber reinforced polymer composites” AIP Conference Proceedings, 020044, 2019. https://doi.org/10.1063/1.5085615
- Aveen K P, Vishwanath Bhajathari F and Sudhakar C Jambagi “3D Printing & Mechanical Characteristion of Polylactic Acid and Bronze Filled Polylactic Acid Components” IOP Conf. Series: Materials Science and Engineering, Vol.376, 2018. doi:10.1088/1757-899X/376/1/012042
- Rajesh Mathivanan N, Raghupathy V.P. and Aveen K. P “Flexural Properties of Polylactic Acid Components Fabricated using 3D Printing Technique” International Journal of Applied Engineering Research (IJAER), Vol.10, 2015.
National Journals & Conferences
- Participated in “National Tribology Conference” (NTC-2014) held between 15th– 17th December 2014 at Dept of Mechanical, PES Institute of technology, Bangalore.
Dr. Aveen K P
Assistant Professor
DR. ADITHYA HEGDE
Educational Qualification
B.E. – Mechanical Engineering
M.Tech – Manufacturing Science and Engineering
Ph.D. – Mechanical Engineering (Advanced Metal Matrix Composites Characterization and EDM application)
Experience
4 Years (Research)
Area of Interest
- Materials Design & Characterization
- Composite Materials & Reinforced Polymers
- Mechanical Testing and Failure Analysis
- Advanced Manufacturing Methods
- Additive Manufacturing
- Design of Experiments
- Artificial Neural Networks
- R&D Project Management
Scopus ID: 57425289600
ORCID : 0000-0003-2930-9602
Workshops Attended
- International e-workshop on Understanding the Importance of Metrics in Scientific Research [09/03/2024] – Manipal University, Jaipur
- Workshop on Pneumatic Controls with Actuators from Foreman Training Institute, Bangalore [11/07/2016 – 15/07/2016]
Conferences
- Sanjeev CRK, Shetty R, Nayak R, Hegde A, et al. Optimization and prediction of cutting force for sustainable turning of Ti-6Al-4V under different lubricant viscosity conditions. (International Conference on Recent Trends in Mechanical Engineering Sciences – 2022, Mangalore, Karnataka); AIP Conf. Proc.3060, 050002 (2024). 1063/5.0195536
- Bagawan M, Dundur S, Gurani R, Shetty R, Hegde A,. Cryogenic Cooling Assisted Machining of Elastomers -A Critical Review. (International Conference on Recent Trends in Mechanical Engineering Sciences – 2022, Mangalore, Karnataka); AIP Conf. Proc. 3060, 050004 (2024). 10.1063/5.0195538
- Nayak M, Kumar S, Shetty R, Hegde A, Shetty D,. Orthogonal Array and Artificial Neural Network Approach for Cutting Force Optimization during Machining of Ti-6Al- 4V under Minimum Quantity Lubrication (MQL). (International Conference on Recent Trends in Mechanical Engineering Sciences – 2022, Mangalore, Karnataka); AIP Conf. Proc. 3060, 050003 (2024). 10.1063/5.0195537
- Hegde A (Presenter) – Experimental and Analytical Investigation on Mechanical Characteristics of Powder Metallurgy based Aluminum Matrix reinforced with different particulates. (International Conference on Recent Advances in Science and Engineering, MAHE Dubai, 2023)
- Hegde A (Presenter) – Tribological Behavior of Powder Metallurgy based Ti-6Al-4V-SiCp Metal Matrix Composites. (International Conference on Recent Advances in Science and Engineering, MAHE Dubai, 2023)
Journal Publications
- Sherigar, V., Shetty, G., Shetty, R., Supriya, JP., Balaji, V., Hegde, A. Comprehensive analysis of drilling responses in additively manufactured PLA using a regression-based statistical learning approach. Res. Express. 2024, 12(5). 10.1088/2053-1591/adcf7b. (IF – 1.8) Q2 – Scopus & SCIE Indexed.
- Bolar, G., Marakini, V., Shetty, R., Shetty, S., Hegde, A. Performance assessment and optimization of Ti6Al4V helical hole milling process. Res. Express. 2025, 12(5). 10.1088/2053-1591/adcf7e. (IF – 1.8) Q2 – Scopus & SCIE Indexed.
- Supriya, J. P., Shetty, R., Shetty, S., Nayak, R., Bolar, G., Hegde, A. A synergistic approach for thermal characteristic analysis of Hibiscus Rosa-Sinensis/Carbon Nano-tubes/Epoxy based Hybrid Composites using Soft Computing Techniques. Res. Express. 2025, accepted (IF – 1.8) Q2 – Scopus & SCIE Indexed.
- Supriya, J. P., Shetty, R., Shetty, S., Bolar, G., Hegde, A. Mechanical and physical characterization of chemically treated Hibiscus Rosa-Sinensis polymer matrix composites using deep learning and statistical approach. Res. Express. 2024, 11(11). 10.1088/2053-1591/ad8ffe. (IF – 1.8) Q2 – Scopus & SCIE Indexed.
- Shetty, S., Shetty, R., Nayak, R., J., P., Supriya, Hegde, A. Machinability characteristics study on hibiscus rosa-sinensis reinforced polymer composites using soft computing techniques. Engineering Research Express. 2024, 6(4), 10.1088/2631-8695/ad871f, (IF-1.5) Q3 – Scopus Indexed.
- Supriya, J.P., Shetty, R., Naik, N., Maddasani, S., Hegde, A.Chemical characterization of hibiscus rosa-sinensis plant fibers facilitated through design of experiments and artificial neural network hybrid approach. Sci Rep 14, 22510 (2024). https://doi.org/10.1038/s41598-024-73503-8 (IF – 3.8) Q1 – Scopus & SCI Indexed.
- Hegde, A., Shetty, R., Nayak, R., Shetty, S., Shetty SV, U.K. Optimizing the Die-Sink EDM Machinability of AISI 316L Using Ti-6Al-4V-SiCp Electrodes: A Computational Approach. Manuf. Mater. Process.2024, 8, 202. https://doi.org/10.3390/jmmp8050202. (IF – 3.3) Q1 – Scopus & SCIE Indexed.
- Supriya, J. P., Shetty, S., Shetty, R., Nayak, R., Maddasani, S., Hegde, A. Quantitative and deep learning based fourier transform infrared radiation and tensile characteristics study on chemically treated hibiscus rosa-sinensis plant fibers. Res. Express. 2024, 11, 075102. 10.1088/2053-1591/ad61c0. (IF – 1.8) Q2 – Scopus & SCIE Indexed.
- Hegde, A., Shetty, R., Nayak, R., Shetty, S. Design of experiments integrated with neural networks for optimization and predictive modelling of electrode wear of novel Ti-6Al-4V-SiCp composites during die sinking electric discharge machining. Res. Express. 2024, 11, 056522. 10.1088/2053-1591/ad4f59. (IF – 1.8) Q2 – Scopus & SCIE Indexed.
- Shetty, S., Shetty, R., Shetty, N., Hegde, A. An integrated experimental and analytical approach on mechanical characterization of advanced powder metallurgy aluminum metal matrix composites reinforced with different particulates. Res. Express, 2024, 11, 056515. 10.1088/2053-1591/ad4aef. (IF – 1.8) Q2 – Scopus & SCIE Indexed.
- Shetty, S., Shetty, R., Nayak, R., Hegde, A., Shetty S. V., U. K., & M., S. (2024). DOE coupled MLP-ANN for optimization of thrust force and torque during drilling of CCFRP composite laminates. Cogent Engineering,11(1). 1080/23311916.2024.2319397. (IF – 2.1) Q2 – Scopus Indexed.
- Hegde, A., Nayak, R., Bolar, G., Shetty, R., Ranjan, R., Naik, N. Comprehensive Investigation of Hardness, Wear and Frictional Force in Powder Metallurgy Engineered Ti-6Al-4V-SiCpMetal Matrix Composites. Compos. Sci. 2024, 8, 39. 10.3390/jcs8020039. (IF – 3.3) Q1 – Scopus Indexed.
- Bagawan, M., Dundur, S. T., Gurani, R., Shetty, R., Nayak, R., Shetty, S. V. U. K., Hegde, A. (2023). Soft computing approach for optimization of turning characteristics of elastomers under different lubrication conditions. Cogent Engineering, 10(2). 10.1080/23311916.2023.2264066. (IF – 2.1) Q2 – Scopus Indexed.
- Natesh, C. P., Shashidhara, Y. M., Amarendra, H. J., Shetty, R., Nayak, R., Shetty, S. V. Hegde, A. (2023). Soft computing for sustainable drilling of AISI 316L stainless steel under formulated neem oil minimum quantity lubrication condition. Cogent Engineering, 10(2).10.1080/23311916.2023.2261231. (IF – 2.1) Q2 – Scopus Indexed.
- Naik, N., Bhat, R., Shivamurthy, B., Shetty, R., Parashar, P.R., Hegde, A. Statistical and Artificial Neural Network Coupled Technique for Prediction of Tribo-Performance in Amine-Cured Bio-Based Epoxy/MMT Nanocomposites. Compos. Sci.2023, 7, 372. 10.3390/jcs7090372. (IF – 3.3) Q1 – Scopus Indexed.
- Hegde, A., Shetty, R., Naik, N., Murthy, B.R.N., Nayak, M., Kumar, M., Shanubhogue, D. Optimization and Prediction of Thermal Conductivity and Electrical Conductivity of Vacuum Sintered Ti-6Al-4V-SiC(15 Wt.%) Using Soft Computing Techniques. J. Compos. Sci. 2023, 7, 123. 10.3390/jcs7030123. (IF – 3.3) Q1 – Scopus Indexed.
- Natesh, C.P.; Shashidhara, Y.M.; Amarendra, H.J.; Shetty, R.; Harisha, S.R.; Shenoy, P.V.; Nayak, M.; Hegde, A.; Shetty, D.; Umesh, U. Tribological and Morphological Study of AISI 316L Stainless Steel during Turning under Different Lubrication Conditions. Lubricants 2023, 11, 52. 10.3390/lubricants11020052. (IF – 3.1) Q2 – Scopus Indexed.
- Shetty, R.; Hegde, A*.; Shetty SV, U.K.; Nayak, R.; Naik, N.; Nayak, M. Processing and Mechanical Characterization of Titanium Metal Matrix Composites: A Literature Review. J. Compos. Sci. 2022, 6, 388. 10.3390/jcs6120388. (IF – 3.3) Q1 – Scopus Indexed.
- Shetty, R.; Gurupur, P.R.; Hindi, J.; Hegde, A.; Naik, N.; Ali, M.S.S.; Patil, I.S.; Nayak, M. Processing, Mechanical Characterization, and Electric Discharge Machining of Stir Cast and Spray Forming-Based Al-Si Alloy Reinforced with ZrO2 Particulate Composites. J. Compos. Sci. 2022, 6, 323. 10.3390/jcs6110323. (IF – 3.3) Q1 – Scopus Indexed.
- Hegde, A.; Shetty, R.; Chiniwar, D.S.; Naik, N.; Nayak, M. Optimization and Prediction of Mechanical Characteristics on Vacuum Sintered Ti-6Al-4V-SiCp Composites Using Taguchi’s Design of Experiments, Response Surface Methodology and Random Forest Regression. J. Compos. Sci. 2022, 6, 339. 10.3390/jcs6110339. (IF – 3.3) Q1 – Scopus Indexed.
- Shetty, R., Hegde, A. Taguchi based fuzzy logic model for optimization and prediction of surface roughness during AWJM of DRCUFP composites. Manufacturing Rev. 9, 2 (2022), 10.1051/mfreview/2021027. (IF – 2.2) Q2 – Scopus Indexed.
- Karthik, S., R., Londe, N., V., Shetty, R., Nayak, R., Hegde, A. Optimization and prediction of hardness, wear and surface roughness on age hardened stellite 6 alloys. Manufacturing Rev. 9, 10 (2022). 10.1051/mfreview/2022008. (IF – 2.2) Q2 – Scopus Indexed.
DR. ADITHYA HEGDE
Assistant Professor
Ms. Manasa A Shetty
Educational Qualification
B.E. – Electronics & Communication Engineering
M.Tech – Industrial Automation & Robotics
Experience
- 7 Years 2 months (Teaching)
- 6 months ( Industry )
Subject Handled
- Embedded Systems and Microcontrollers
- Fundamentals of electrical and electronics
- Analog and Digital Circuits
- PLC & HMI Programming
- Introduction to robotics
- Sensor based manufacturing
Area of Interest
- Industrial Robotics
- Artificial Intelligence and Machine Learning
- Automation and Control Systems
- IoT-based Smart Systems
Workshop / FDP / STTP / Attended / Conducted
- FDP on “Advanced Materials & Manufacturing For Engineering Applications” at SIT Mangalore
- STTP on “Fundamentals of PLC & HMI” at Centre of Excellence, National Institute of Technology Karnataka (NITK), Surathkal.
- Workshop on “MATLAB for Engineering Applications” Guest Session Conducted at GPT Anantangara, Manipal.
- STTP on “IoT and Embedded Systems for Smart Automation” at GTTC IOT
- FDP on “Recent trends in industrial robotics & automation” at Rajarajeshwari College of Engineering, Bangalore (online).
Ms. Manasa A Shetty
Assistant Professor
Mr Chethan Madappady
Educational Qualification
- B.E. (Mechanical Engineering),
- M.Tech (Maintenance Engineering)
Total Experience
10.5 Years
Area of Interest
- Theory of Machines
- CNC Programming
- Material Science
- CAD/CAM/CAE
- Rapid Prototyping and Product Design
Subjects Handled
- Additive Manufacturing
- Robotics
- Mechatronics System Design
- Engineering Graphics
- Mechanical Measurements and Metrology
- Manufacturing Process
Workshops / FDPs / SDPs / STTPs Attended/Conducted
- Attended workshops on Rapid Prototyping & Product designing.
- Completed NPTEL courses on Teaching and Learning Engineering – TALE and Additive Manufacturing
Mr Chethan Madappady
Assistant Professor
Infrastructure
Laboratories
- Robotics Lab Design, build, and program robotic systems using different platforms. They work on projects involving robotic arms, mobile robots, and autonomous vehicles.
- Machine Learning Lab Implement machine learning algorithms and models, such as neural networks, decision trees, and reinforcement learning, using programming languages like Python and tools like TensorFlow.
- Computer Vision Lab Explore image processing and computer vision techniques to enable robots to interpret and understand visual information from their surroundings.
- Control Systems Lab Design and implementing control algorithms for robotic systems, including PID controllers and state-space controllers.
- AI and Natural Language Processing Lab Students work on projects related to artificial intelligence, including natural language processing, chatbots, and voice-controlled systems.
- Sensor and Actuator Lab This lab focuses on interfacing various sensors and actuators with microcontrollers to gather data and control robotic systems.
- Hydraulics & Pneumatics Lab – Setup in association with Bosch Rexroth
These labs and practicals are designed to complement the theoretical knowledge gained in lectures and provide students with the skills needed to tackle real-world robotics and AI challenges.
Department Student Association – RAISE (Robotics & Artificial Intelligence Student Explorers)
RAISE (Robotics and AI Student Explorers) is the official department forum of the Department of Robotics and Artificial Intelligence at Mangalore Institute of Technology and Engineering (MITE), Moodabidri, established on 27th September 2025. Conceived as a vibrant and collaborative platform for budding engineers, RAISE fosters innovation, research, and experiential learning in domains such as robotics, automation, machine learning, and intelligent systems. It aims to bridge the gap between academics and industry by organizing technical workshops, expert lectures, hackathons, and project exhibitions that emphasize problem solving, creativity, and interdisciplinary integration. The forum also encourages participation in national-level competitions, promotes student-led research and prototype development, and supports entrepreneurial pursuits through incubation and mentorship. Beyond technology, RAISE nurtures holistic growth by integrating cultural, social, and ethical dimensions through outreach activities, leadership programs, and community-driven projects that employ AI and robotics for societal benefit. Guided by its vision to “Explore, Innovate, and Transform,” RAISE endeavors to cultivate a new generation of engineers who not only master the science of intelligent automation but also use it responsibly to create sustainable and inclusive technological ecosystems.
SCHEME AND SYLLABUS
2023 – II Year Scheme & Syllabus (Autonomous) – Click Here
Model Question Paper (Autonomous)
Third Semester
| Course Title | Course Code | Link |
| Statistics and Graph Theory | 23BSRI201 | Click Here |
| Fundamentals of Robotics | 23RIPC202 | Click Here |
| Materials and Manufacturing Technology | 23RIPC203 | Click Here |
| Microcontrollers | 23RIPC204 | Click Here |
| Fundamentals of Analog & Digital Systems | 23RIPC205 | Click Here |
| Universal Human Values | 23HMCC215 | Click Here |
Fourth Semester
| Course Title | Course Code | Link |
| 23RIPC207 | AI & ML for Robotics | Click Here |
| 23RIPC208 | Hydraulics and Pneumatics | Click Here |
| 23RIPC209 | Data structures & Algorithms | Click Here |
| 23RIPC210 | Sensors and Actuators for Robotics | Click Here |
| 23RIPC211 | Design of Machine Elements | Click Here |
| 23HMCC216 | Research Methodology & Intellectual Property Rights | Click Here |
Course Materials
2023 Autonomous Batch
III Semester
| 23BSRI201 | Statistics and Graph Theory | Module-1 | Module-2 | Module-3 | Module-4 | Module-5 |
| 23RIPC202 | Fundamentals of Robotics | Module-1 | Module-2 | Module-3 | Module-4 | Module-5 |
| 23RIPC203 | Materials and Manufacturing Technology | Module-1 | Module-2 | Module-3 | Module-4 | Module-5 |
| 23RIPC204 | Microcontrollers | Module-1 | Module-2 | Module-3 | Module-4 | Module-5 |
| 23RIPC205 | Fundamentals of Analog & Digital Systems | Module-1 | Module-2 | Module-3 | Module-4 | Module-5 |
| 23HMCC215 | Universal Human Values | Module-1 | Module-2 | Module-3 | Module-4 | Module-5 |
Beyond Syllabus
Technical Talks
Technical talks are conducted by inviting eminent speakers in the respective domains. This will help to learn topics beyond the syllabus.
Flipped Classroom
Flipped Classroom is an instructional strategy and a type of blended learning focused on student engagement and active learning. It gives the instructor a better opportunity to deal with mixed levels of students. It allows for addressing the student difficulties. The students are given a task to summarize and understand a topic by watching video lectures at home and present it in the classroom.
Brainstorming
It provides the students to perform group discussion and produce ideas or solve problems. Students are asked to discuss about the topic and present their views. The faculties will summarize it. It helps to improve the presentation skill of the students.
Multimedia enabled Learning
Learning is enhanced by using Multimedia tools that include PPT, Animations etc. It enhances the learning experience.
Workshops
Workshops are conducted to provide hands on experience.
Student Achievements
