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The Department of Biomedical Engineering was established in the year 2020 with an intake of 60 to address the prevailing health sector challenges. This four year degree programme will nurture the young minds with fundamental knowledge of Biological sciences such as Human Anatomy, Physiology, Pathology and Microbiology. With this the student would also gain knowledge about Electronics, Measurements and Instrumentation to Design, Analyze, Synthesize and Evaluate the Diagnostic and Therapeutic equipments such as X-ray, CT, MRI, PET, Ventilators, Pacemakers, Dialyzer to serve the Medical community. The students will be guided to have periodical visits to the hospitals for bridging the gap between the class room learning and the real time issues.
Prosthetic devices for the physically challenged, Therapeutic equipments to replace the conventional medicines will also be part of the learning to this stream of engineers. This department has a well established relationship with industrial experts and physicians of different expertise to keep it updated and live up to the expectations of the contemporary world.
Through “ZYGOTE” association, the department organizes Guest Lectures, Workshops and Seminars on recent trends to enhance the technical knowledge and equip the skills of students. A committee on Anti-Drugs arranges awareness programs at regular intervals to address the adverse effects. Students are appreciated to have exposure to on field trainings like Hospital Training, Industrial Visits, Internships, NPTEL courses, IIT spoken tutorials, Value Added Courses and Onsite projects in various reputed organizations.
The department has signed 2 MoUs with organizations like Thangam Hospital - Namakkal and Mothercell Regenerative Private Limited (MRC) – Tiruchirappalli to carry out Faculty Training Programs, Internship/Industrial Visit/In-Plant, Hospital Training, Projects and Consultancy.
Programme and Syllabus
Biomedical Engineering
|
S.No |
Program Name |
Intake |
Syllabus |
|
1. |
B.E - Biomedical Engineering (Full Time) - R2020 |
60 |
Student List
Students List
Publications
Academic Year 2023 - 2024
International / National Journals
- Dr.A.Sampath, “Non- Additive noise reduction in medical images using Bilateral Filtering and Modular Neural Networks”, Soft Computing, July 2023/ https://doi.org/10.1007/s00500-023-08968-2.
- Dr.S.Amuthameena, “Synthesis of nitrogen‐doped zinc oxide nanomaterials for hydrogen gas sensing applications”, Journal of Material Science - Materials in Electronics, September 2023 /htps://doi.org/10.1007/s10854-023-11294-w.
- Mr.T.Muthukumar, “An Io T base d forest fire detection system using integration of cat swarm with LSTM model”, Computer Communications, Volume 211/ Pages 37-45 /November 2023/ https://doi.org/10.1016/j.comcom.2023.08.020
Academic Year 2022 - 2023
International / National Conferences
- Mr.K.Bashkaran, Presented a paper entitled “ An Efficient System for the Prediction of House Prices Using a Neural Network Algorithm” in the International conference on Edge Computing and Applications (ICECAA 2022) during 13.10.2022 to 15.10.2022.
- Mr.T.Ashok, Presented a paper entitled “ Real Time Health Monitoring System” in the DST-SERB sponsored International conference on Innovations in Science, Engineering and Technology for Sustainable Development (ISETSD-2023) during 30.01.2023 to 31.01.2023.
- Mr.T.Ashok, Presented a paper entitled “ Smart Shoe for Visually Impaired People” in the DST-SERB sponsored International conference on Innovations in Science, Engineering and Technology for Sustainable Development (ISETSD-2023) during 30.01.2023 to 31.01.2023.
- Dr.A.Sampath, Presented a paper entitled “ Wireless Digital Stethoscope using Bluetooth” in the DST-SERB sponsored International conference on Innovations in Science, Engineering and Technology for Sustainable Development (ISETSD-2023) during 30.01.2023 to 31.01.2023.
- Mr.V.Kalairajan, Mr.K.BashkaranPresented a paper entitled “ IOT based Paralysis Patient Healthcare Monitoring System” in the DST-SERB sponsored International conference onInnovations in Science, Engineering and Technology for Sustainable Development (ISETSD-2023) during 30.01.2023 to 31.01.2023.
- Dr.K.BaskarPresented a paper entitled “ Secure Multimodal Biometric System Based on Robust LSB-DWT Digital Watermarking Algorithm” in the International conference onComputational Systems and Communication (ICCSC-2023) during 03.03.2023 to 04.03.2023.
Academic Year 2022 - 2023
International / National Journals
- Dr.K.Baskar, “An Efficient Outlier Detection with Deep Learning-Based Financial Crisis Prediction Model in Big Data Environment”, Computational Intelligence and Neuroscience, Volume 2022, Article ID 4948947, 10 pages, https://doi.org/10.1155/2022/4948947
- Dr.S.Amuthameena, “Green hydrothermal synthesis of Ga doping derived 3D ZnO nanosatellites for high sensitive gas sensors.”, Sensors and Actuators: B.Chemical, Volume 379, 15 March 2023, 133215, https://doi.org/10.1016/j.snb.2022.133215
- T,Ashok, “Alcohol Detection and Automatic Engine Locking System”, Infokara Research, Volume 11, Issue 8, August 2022.
- K.Baskar, “An Efficient Outlier Detection with Deep Learning-Based Financial Crisis Prediction Model in Big Data Environment”, Computational Intelligence and Neuroscience, Volume 2022, Article ID 4948947, 10 pages, https://doi.org/10.1155/2022/4948947
Academic Year 2021 - 2022
International / National Journals
- T. Ashok,Dr R Prabakaran “System Lifetime and Performance Improvement in Wireless Sensor Networks by Having Improved Energy Distributed Unequal Clustering Protocol”, Wireless Personal Communication, 2021. DOI: 10.1007/s11277-021-09019-5.
- A.Sampath, Dr. T. R. Sumithira, B. Yogasivashankar and J. K. NitheshSharma, “Automatic Mask Wearing Detection and Temperature Detection using Raspberry PI” in Grenze International Journal of Engineering and Technology, Grenze ID:01.GIJET.7.1.620_1.
- Mr.A.Sampath, “Sparse Based Recurrent neural network long short term memory (RNN-LSTM) model for the classification of ECG signals”, Artificial Intelligence, DOI: 10.1080/08 839514.2021.2018183.
- Mr.T.Dineshkumar, “Comparative Study of BER with NOMA system in different fading channels”, Bulletin of Electrical Engineering and Informatics, DOI:10.11591/eei.v1 li2.3311.
- Mr.T.Dineshkumar, “Automatic wireless health instructor for schools and colleges”, Bulletin of Electrical Engineering and Informatics, DOI:10.11591/eei.v1 lil.3330.
- Mr.T.Dineshkumar, “Design and Development of Smart Portable System for Underground Pipeline Leakage Monitoring Based on IoT”, Journal of Physics, DOI:10.1088/1742-6596/1964/6/062081.
- Mr.T.Dineshkumar,“Air Quality Monitoring System Based on IOT”, Journal of Physics, DOI:10.1088/1742-6596/1964/6/062065.
International / National Conferences
- Mr.T.Ashok, Mr. A. Sampath and Mrs.B.Subashini, Presented a paper entitled “ Evaluation of Phyto chemical analysis and in vitro anti diabetic activity of azadirachta indica and mangifera indica leaves” in the International conference on Artificial Intelligence and Machine Learning Applications ICAIMLA 2022 during 27.05.2022 to28.05.2022.
Programme's PEOs, PSOs and POs
PROGRAM EDUCATIONAL OBJECTIVES
PEO1: Graduates shall be leaders in generating innovative knowledge at the interface of Biology and Engineering.
PEO2: Graduates will show excellence in leadership skills, design, and model new equipments needed for health care and serve the society.
PEO3: Graduates will demonstrate ethical standards, leadership skills, attitude, professional responsibilities, contribute positively to team building and keep themselves engaged in lifelong learning.
PROGRAM SPECIFIC OUTCOMES (PSO's)
PSO1: Professional Skills: Students shall be able to measure, model, manipulate, and make biological systems for powerful new biological technologies.
PSO2: Competency: Students shall be able to apply the concepts of signal and image processing techniques to address the problems of healthcare.
PROGRAM OUTCOMES (POs)
Engineering Graduates will be able to:
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.
AQARC7 21-22
Criteria 7
Institutional Values and Best Practices
| Criteria Number | Criteria Name |
| 7.1.1 |
Measures initiated by the institution for the promotion of gender equity during the year 2021-2022 |
| 7.1.2 |
The Institution has facilities for alternate sources of energy and energy conservation |
| 7.1.3 | |
| 7.1.4 | |
| 7.1.5 | |
| 7.1.6 |
Quality audits on environment and energy undertaken by the institution |
| 7.1.7 |
The Institution has a Divyangjan-friendly and barrier-free environment |
| 7.1.8 | |
| 7.1.9 | |
| 7.1.10 | |
| 7.1.11 | |
| 7.2.1 | |
| 7.3.1 |
Highlight the performance of the institution in an area distinct to its priority and thrust |
|
7.3.2 |
Plan of action for the next academic year |
AQARC6 21-22
Criteria 6
Governance, Leadership and Management
AQARC5 21-22
Criteria 5
Student Support and Progression
| Criteria Number | Criteria Name |
| 5.1.1 | |
| 5.1.2 | |
| 5.1.3 |
2. Language and Communication Skills |
| 5.1.4 | |
| 5.1.5 | |
| 5.2.1 |
Number of outgoing students who got placement during the year |
| 5.2.2 |
Number of outgoing students progressing to higher education during the year |
| 5.2.3 |
Number of students qualifying in state/ national/ international level examinations during the year |
| 5.3.1 | |
| 5.3.2 | |
| 5.3.3 |
Number of sports and cultural events / competitions organised by the institution |
| 5.4.1 | |
| 5.4.2 |
AQARC4 21-22
Criteria 4
Infrastructure and Learning Resources
Programme Curriculum & Syllabus
Programme Curriculum & Syllabus
|
S.No |
Program Name |
Intake |
Syllabus |
| 1. | B.Tech - Artificial Intelligence and Data Science | 60 | Download |