Summer Internship Cum Training Program
The summer internship program at NIT Rourkela is designed to provide a comprehensive hands-on experience in biomedical engineering, focusing on biomedical signal acquisition, processing, and advanced machine learning techniques. Conducted exclusively in offline mode, the program spans 45 days, during which participants will gain in-depth knowledge and practical exposure to various biomedical signals, including Electrocardiography (ECG), Electroencephalography (EEG), Electromyography (EMG), and Visual Evoked Potentials (VEP). The training will cover essential topics such as acquisition of biomedical signals, including ECG for cardiac analysis, EEG for brain activity monitoring, EMG for muscle function assessment, and VEP for visual system evaluation. Additionally, students will learn data processing techniques for biomedical signals and images, enabling them to extract meaningful insights from complex datasets. The program also integrates machine learning and deep learning methodologies, empowering participants to develop AI-driven solutions for biomedical applications. A key highlight of the internship is a competitive challenge, where students will apply their acquired skills to develop and optimize machine learning models for biomedical applications. This competition will encourage innovation and problem-solving, with awards for the best model design.
The students who wish to participate in this internship program has to pay an amount of 7030/- (Inclusive GST) towards the account given below
| Account Name: | CONTINUING EDUCATION NIT ROURKELA |
|---|---|
| Account No: | 10138951784 |
| Bank Name | State Bank of India(002109) |
| Branch: | NIT Rourkela Campus |
| IFSC Code | SBIN0002109 |
To apply for the internship, please complete the online application form using the provided QR code or by clicking the link bsiplab.in/sip/user/ on or before April 25th , 2025. Selected candidates will receive email notifications on April 30th , 2025. The selected students must carry an email copy of the Approval letter while entering the NIT Rourkela. The decision of the selection committee is final and applies to all applicants.
Biomedical Signal Acquisition
- Fundamentals of ECG, EEG, EMG, and VEP signal acquisition
- Understanding biomedical sensors and instrumentation
- Noise reduction and signal preprocessing techniques
- Hands-on experience with biomedical signal acquisition devices
Data Processing of Biomedical Signals and Images
- Signal filtering and denoising techniques
- Feature extraction from ECG, EEG, EMG, and VEP signals
- Image preprocessing for medical imaging (CT, MRI, X-ray)
- Time-frequency analysis and spectral analysis of signals
- Signal segmentation and classification
Machine Learning & Deep Learning for Biomedical Applications
- Supervised and unsupervised learning for biomedical data
- Deep learning models (CNN, RNN, LSTM) for signal and image analysis
- AI-driven diagnosis and disease prediction
- Implementing neural networks for biomedical signal classification
- Hands-on training in Python using TensorFlow & PyTorch
- Model evaluation and optimization for medical applications
Course Outcomes
- Comprehensive understanding of the theoretical concepts on medical signal and image processing
- Hands-on experiment on medical devices including ECG, EMG, VEP, and BERA
- Theoretical aspects of AI-based techniques
- Implementation of AI techniques using popular software tools and programming languages
- Clinical integration of AI in medical signal and image processing
National Institute of Technology Rourkela is an Institute of National Importance for technical education established by the Government of India. NIT Rourkela is a prestigious institute with a reputation for excellence in research and education at undergraduate, postgraduate and doctoral levels.
Prof. Bala Chakravarthy N :[email protected]
Prof. Sivaraman J : [email protected]
Prof. K. Pal : [email protected]
Email: [email protected]Department of Biotechnology & Medical Engineering, National Institute of Technology Rourkela, Odisha 769008, India.
Student Co-ordinatorsMr. Nalla Maheswara rao : 8885613837
Mr. Soumyajit Gayen : 9748324664
Mr. Deepka Kumar Sahu : 8763359276
High-End Workshop on Artificial Intelligence for Biomedical Applications
Significant advancement in the realm of biomedical engineering comes in the form of Artificial Intelligence (AI) and virtual reality. The advances that are taking place in the world of biomedical engineering are impressive. Many of them are set to have a direct impact on our lives whether that is through the benefits of minimally invasive surgery, improved X-ray technology, or simply by having a point of care diagnosis, using smart watches. The main aim of this program is to impart and disseminate the basic knowledge and recent advances in the field of biosignals and image processing using AI and to address the research students about the current scope and research gaps in the field. This program will help the attendees to familiarize with the theoretical and practical knowledge of biomedical signal & image processing. This program will also help the attendees to advance their knowledge and widen their horizons in the field encompassing biomedical and its applications.
- Faculty members from IITs, NITs, CFIs, labs & Private colleges/Universities
- Research scholars and PG students from any engineering discipline
- Registration is mandatory
- To bring together a network of researchers primarily working on AI in Biomedical Applications (BMA).
- This program will give young researchers an opportunity tointeract with experts and clarify their quires in AI for BMA.
- To witness the recent advances in AI for biomedical signals and medical imaging.
- To develop awareness about the advances in deep convolutional neural networks for biomedical signals and imaging.
- To demonstrate thehands-on Python & MATLAB programing for biomedical applications.
There is NO REGISTRATION FEE for this program. Last date for registration is 20th November 2022. Link for online registration is Selected candidates will be intimated through E-mail by 21st November 2022. Certificates will be provided to the registered participants with full attendance in all sessions.
Mr. G.L.P. Ashok: 9912170223 (M)
Mr. N. Prasanna Venkatesh: 9488669122 (M)
Ms. Arya Bhardwaj: 8860015845 (M)
Workshop on Data Science and Machine Learning Applications
Medical signal and image processing refers to the study of analyzing and understanding the information contained in medical signals and images. The use of artificial intelligence (AI) has transformed the field of medical signal and image processing in recent years, enabling more precise diagnosis and treatment. Participants in the workshop "Medical Signal and Image Processing: Clinical Integration of Artificial Intelligence" will gain practical experience with a variety of medical devices, such as an electrocardiogram (ECG), electromyography (EMG), visual evoked potential (VEP), brainstem evoked response auditory (BERA), and spirometer. The course will initially provide a theoretical introduction to medical signal and image processing methods. Then, the participants will get practical experience handling clinical equipment by learning to collect, preprocess, and analyze data and images. The extraction of features from the medical signals and the images will also be covered. The next topic of discussion at the workshop will be the use of AIbased methods in the analysis of medical signals and images.
To apply for the workshop, please complete the online application form using the provided QR code or by clicking the link https://bit.ly/48Dvm6T on or before May 30, 2024. Selected candidates will receive email notifications on June 10, 2024. The selected students must email a scanned copy of the Approval Letter from the Head of the Department/Organization for attending the workshop to [email protected] by June 15, 2024. If the selected candidates fail to produce the approval letter from their Department/Organization within the mentioned date, the seat will be offered to other candidates. The decision of the selection committee is final and applies to all applicants.
No Registration fee for this workshop.- Comprehensive understanding of the theoretical concepts on medical signal and image processing
- THands-on-experiment on medical devices including ECG, EMG, VEP, and BERA.
- Theoretical aspects of AI-based techniques
- Implementation of AI techniques using popular software tools and programming languages
- Clinical integration of AI in medical signal and image processing
National Institute of Technology Rourkela is an Institute of National Importance for technical education established by the Government of India. NIT Rourkela is a prestigious institute with a reputation for excellence in research and education at undergraduate, postgraduate and doctoral levels.
Prof. Bala Chakravarthy N :+91-9569288123
Prof. Sivaraman J :+91-9840968282
Prof. K. Pal :+91-8249247377
Email: [email protected]Department of Biotechnology & Medical Engineering, National Institute of Technology Rourkela, Odisha 769008, India.
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