Dr. Vijay Jeyakumar
M.E., Ph.D.
Associate Professor – Grade II
Department of Biomedical Engineering
Dr. J. Vijay is an Associate Professor in the Department of Biomedical Engineering, SSN College of Engineering, Chennai, and has more than 18 years of experience in Teaching and Research. He completed his bachelor’s degree in Electronics and Communication Engineering from Anna University in 2005 and obtained his master’s degree in medical Electronics from the College of Engineering, Guindy Campus in 2008. He did his research in Medical Image Retrieval and obtained his Ph.D. degree in medical informatics from Anna University in 2015.
Currently, Dr. Vijay is supervising five Ph.D. students and has successfully guided three research scholars. He is a recognized supervisor of Anna University, Chennai, and a doctoral committee member for several scholars of deemed-to-be Universities. He has published over 80 papers in peer-reviewed journals and conferences and authored 14 book chapters on topics such as medical image retrieval, brain-computer interfaces, machine learning, and deep learning. He has secured funding from organizations including IEEE (USA), NAAC, CSIR, TANSCST, and ISTE for workshops, seminars, and training programs and is involved in four projects funded by DST, TANSCST, AICTE, NASF, and SSN Trust. He has also received the P K Das Memorial Award and the Imagine Award 2024 for Educational Excellence from Autodesk Corporation. He is the recipient of SSN best teacher award. His six patenting applications are published by Intellectual property India and his three patents are granted.
Dr. Vijay is a senior member of IEEE and serves as a faculty advisor for the IEEE Signal Processing Society SSN Student Branch. He has coordinated workshops, guest lectures, and student activities under this organization and has received 11,500 USD funding to organize seasonal schools in signal processing techniques. Additionally, he is a Board of Studies member nominated by Anna University, Chennai, and has chaired the Biomedical Engineering boards at both Anna University and Vel Tech University, Chennai. He has been invited as an Academic Auditor by several Technical Institutions.
Dr. J. Vijay is an Editorial board member for three journals and a reviewer for peer-reviewed journals like the Journal of Neuro Computing (Springer), Journal of Biomedical & Science Engineering, and many more. Also, he has visited several southeast universities to know modern educational pedagogy initiatives.
Title: Artificial Intelligence & IoT based Smart Vet Ecosystem for Animal Health, Patient Care & Precision Livestock Farming
Amount: Rs. 215 Lakhs
Funding Agency: NASF
Duration: 36 Months
Investigators: Dr. A. Kavitha (CcPI), Dr. Pravinkumar S (Co-CcPI), Dr. Vijay Jeyakumar (Co-CcPI)Title: An Integrated Framework to Aid Non-Contact Measurement of Vital Parameters for Mass Infection Screening
Amount: Rs. 4.13 Lakhs
Funding Agency: AICTE
Duration: 36 Months
Investigators: Dr. Vijay Jeyakumar (PI), Dr. K. Nirmala (Co-PI)Title: Development of Multi-spectral (Thermal/Visible) Imaging System for Fever Screening in Crowded Places for Detection of Infectious Diseases
Amount: Rs. 11.61 Lakhs
Funding Agency: DST-SERB
Duration: 24 Months
Investigators: Dr. Palani Thanaraj, Dr. Parvathavarthini B, Dr. Vijay Jeyakumar (Co-PI)Title: Design and Development of Centrifugal Pump Used in the Artificial Lungs-Pump Device
Amount: Rs. 6 Lakhs
Funding Agency: SSN Trust
Duration: 36 Months
Investigators: Dr. Micha Premkumar (PI), Dr. Vijay Jeyakumar (Co-PI)Title: Design and Development of Wearable Textronic System for Monitoring Physiological Parameters
Amount: Rs. 3.25 Lakhs
Funding Agency: SSN Trust
Duration: 36 Months
Investigators: Dr. Vijay Jeyakumar (PI), Dr. S. Saraswathi (Co-PI), Dr. Arunkarthick (Co-PI)
- Students Projects funded by Tamil Nadu State Council for Science and Technology & SSN trust Rs.1.1 Lakhs.
- IEEE Signal Processing Society – USD11950
- Funds from NAAC, TANSCST, CSIR, ISTE and IEEE to organize events.
- Autodesk has sanctioned Rs.1 Lakh for the consultancy work "Design and Development of Splints using Fusion 360".
- Autodesk has sanctioned Rs.1,98,240 for the consultancy work "Walk India Team".
- Anna University Supervisor No.:2940025
- Saritha B - Certain Investigations on Tongue Images for Early Diagnosis of Diabetes – Degree awarded.
- Subha B - Deep Learning Framework for The Detection and Classification of Knee Osteoarthritis Using Multi-Modal Images – Degree awarded.
- Subasri C K – Thesis submitted.
- Pradeep K - Confirmation completed.
- Gowri Vidhya N - Confirmation completed.
- Shyamsundar N - Confirmation completed.
- Nivethitha M - Confirmation completed.
- Nithiya R - Confirmation completed.
- PG Projects – 10 Nos.
- Unsupervised Multimodality Medical Image Retrieval System, Patent Number – 544336. (Granted).
- Baseline Static Veloprine Foot Pressure Mapping System, Patent Number – (Granted).
- Medical Tuning Fork with timer, Patent Number - 400673-001, (Granted).
- Smart Phone enabled Dermatoscope for Automated Skin Lesion Classification using Convolutional Neural Network - Patent Application No: 202041043279, Hearing completed.
- Robust Adaptive Online Controller for Diabetes Monitoring System, Application No. 202441057686, Published.
- Mass Rapid Fever Screening System for Communicable Diseases
using Advanced Thermal Imaging Device, Application No: 202241067451, Published.
Tuhina Sheryl Abraham, Vijay Jeyakumar, Gurucharan Marthi Krishna Kumar, Ponsekar Abraham Anandapandian (2024). Automated Analysis of Tooth Anatomy and Pathological Conditions from Orthopantomogram using Deep Neural Networks. IETE Journal of Research, Volume 70, Issue 12, pp. 1–12. https://doi.org/10.1080/03772063.2024.2385044. (Indexed in Scopus, SCIE and TR), IF – 1.3. Print ISSN: 0377-2063, Online ISSN: 0974-780X.
Subashri Chellamuthu Kalaimani, Vijay Jeyakumar (2024). Design of Robust Evolving Cloud-Based Controller for Type 1 Diabetic Patients Using n-Beats Algorithm. Brazilian Archives of Biology and Technology, 67, e24230857, pp. 1–19. https://doi.org/10.1590/1678-4324-2024230857. (Indexed in Scopus, SCI), IF – 0.579.
Subha, B., Vijay Jeyakumar, & Deepa, S.N. (2024). Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images. Scientific Reports, 14, 7225. https://doi.org/10.1038/s41598-024-57002-4. (Indexed in Scopus, SCI and PubMed), IF – 4.6.
Pradeep K, Jeyakumar V, Bhende M, Shakeel A, Mahadevan S (2023). Artificial intelligence and hemodynamic studies in optical coherence tomography angiography for diabetic retinopathy evaluation: A review. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 0(0). https://doi.org/10.1177/09544119231213443. IF – 1.8, SCIE indexed, PubMed.
Subashri Chellamuthu Kalaimani, Vijay Jeyakumar (2023). Hardware design for blood glucose control based on the Sorensen diabetic patient model using a robust evolving cloud-based controller. Computer Methods in Biomechanics and Biomedical Engineering, Volume 27, Issue 15. https://doi.org/10.1080/10255842.2023.2275545. IF – 2.188, SCIE indexed.
K Pradeep, S Sriram, Vijay Jeyakumar, S A Priyanka (2022). Certain investigations on prediction of dissected aorta using computational fluid dynamic analysis. AIP Conference Proceedings, 2519, pp. 030100-1. https://doi.org/10.1063/5.0109746. IF – 0.402. (Scopus Indexed).
Chetana Krishnan, Vijay Jeyakumar, Alex Noel Joseph Raj (2022). Real-Time Eye Tracking Using Heat Maps. Malaysian Journal of Computer Science, Vol. 35(4). https://doi.org/10.22452/mjcs.vol35no4.3. IF – 0.622. (Scopus, WoS Indexed).
Palani Thanaraj Krishnan, Balasubramanian Parvathavarthini, Vijay Jeyakumar, Shriraam Mahadevan, Alex Noel Joseph Raj (2022). Intensity matching through saliency maps for thermal and visible image registration for face detection applications. The Visual Computer, Volume 39, pp. 4529–4542. https://doi.org/10.1007/s00371-022-02605-z. IF – 3.5. (SCIE Indexed).
J. Arthika, Vijay Jeyakumar, J. Ajitha, S. Jayasri (2022). Testing and analysis of nanoparticles-based textrodes for physiological signals. Materials Today: Proceedings, Volume 64, Part 5, pp. 1813–1821. https://doi.org/10.1016/j.matpr.2022.06.116. IF – 1.46. (Scopus Indexed).
Saritha Balasubramaniyan, Vijay Jeyakumar, Deepa S.N. (2022). Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans. Scientific Reports, 12(1):186. https://doi.org/10.1038/s41598-021-03879-4. (Indexed in Scopus, SCI and PubMed), IF – 4.379. PMID: 34996986.
Chetana Krishnan, Sandhya Varshini, Vijay Jeyakumar (2021). Non-Clinical Pain Assessment System – A Pilot Study. Journal of Physics: Conference Series, 1917 (012008), pp. 1–10. https://doi.org/10.1088/1742-6596/1917/1/012008. (Scopus Indexed).
Mahalakshmi Nachiappan, Thenmozhi Alagarsamy, Vijay Jeyakumar (2019). Design of Mirror E-Shape Implantable Antenna for Biomedical Applications. Applied Mathematics & Information Sciences, Volume 13, No. S1, pp. 25–30. https://doi.org/10.18576/amis/13S103. (TR Indexed), IF – 2.1.
Vijay Jeyakumar, Bommanna Raja Kanagaraj (2015). A Framework for Medical Image Retrieval System using Ant Colony Optimization and Weighted Relevance Feedback. Journal of Medical Imaging and Health Informatics, Vol. 5, No. 7, pp. 1383–1389. https://doi.org/10.1166/jmihi.2015.1549. (Scopus Indexed), IF – 0.642.
Image Retrieval Systems in PACS Environment, LAP Lambert Academic Publishing, Germany, 2016, ISBN – 13:978-3-330-00062-9.
Basic Electrical Engineering, Scitech Publications, Chennai, ISBN – 978-81-8371-264-4.
Gurucharan Marthi Krishna Kumar, Vijay Jeyakumar, and S. Sidtharth (2024), Multimodal medical image retrieval system for clinical decision support system, In book: Mining Biomedical Text, Images and Visual Features for Information Retrieval, Sujata Dash, Subhendu Kumar Pani, Wellington Pinheiro Dos Santos, Jake Y. Chen (Eds.), pp. 537–566, Elsevier, ISBN: 978-0-443-15452-2. eBook ISBN: 9780443154515. https://doi.org/10.1016/B978-0-443-15452-2.00025-X
R. Nithya, Nirmala K, Vijay Jeyakumar, Venkateshwaran N (2024), Diagnosis of diabetic retinopathy in retinal fundus images using machine learning and deep learning models, In book: Internet of Things and Machine Learning for Type I and Type II Diabetes, pp. 63–87, Elsevier, ISBN: 978-0-323-95686-4.
Chetana Krishnan, Vijay Jeyakumar, Anushaa Anbazhagan, Shivapriya Somasundaram (2024), Gesture-oriented supernumerary robotic fingers for post-stroke rehabilitation, In book: Affective Computing Applications using Artificial Intelligence in Healthcare: Methods, Approaches and Challenges in System Design, pp. 67–84, IET Publications, ISBN: 9781839537318, e-ISBN: 9781839537325.
Subashri Sivabalan, Vijay Jeyakumar (2023), Mathematical Modeling of Diabetic Patient Model Using Intelligent Control Techniques, In: Chaki, N., Devarakonda, N., Cortesi, A. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering (ICCIDE 2022), Lecture Notes on Data Engineering and Communications Technologies, vol. 163, pp. 17–35, Springer, Singapore. https://doi.org/10.1007/978-981-99-0609-3_2, ISBN (Print): 978-981-99-0608-6 (Scopus Indexed).
Vijay Jeyakumar, Rama Abirami K, Saraswathi S, Senthilkumaran R, Gurucharan M. (2023), Secure medical image storage and retrieval for Internet of medical imaging things using blockchain-enabled edge computing, In: Intelligent Edge Computing for Cyber Physical Applications, Elsevier, pp. 85–110. https://doi.org/10.1016/B978-0-323-99412-5.00004-6, ISBN: 9780323994330.
Vijay Jeyakumar, Prema Sundaram, Nithya Ramapathiran (2023), Artificial Intelligence-Based Predictive Tools for Life-Threatening Diseases, In: System Design for Epidemics Using Machine Learning and Deep Learning, Springer, Cham, pp. 123–152. https://doi.org/10.1007/978-3-031-19752-9_8, ISBN: 978-3-031-19751-2.
Vijay Jeyakumar, Prema Sundaram, Nithya Ramapathiran, Pradeep Kannan (2023), Virtual Reality-Based Rehabilitation Gaming System, In: Artificial Intelligence and Machine Learning for Healthcare, Springer, Cham, Intelligent Systems Reference Library, vol. 229, pp. 135–180. https://doi.org/10.1007/978-3-031-11170-9_6, Online ISBN: 978-3-031-11170-9.
Vijay Jeyakumar, Nirmala K, Nithya R (2022), A Smart Virtual Vision System for Health Monitoring, In book: Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond, Academic Press (Elsevier), pp. 347–360, ISBN: 978-0-323-85174-9. https://doi.org/10.1016/B978-0-323-85174-9.00021-2.
Vijay Jeyakumar, Palani Thanaraj Krishnan, Prema Sundaram, Alex Noel Joseph Raj (2022), Brain-Computer Interface in Internet of Things Environment, In: 5G IoT and Edge Computing for Smart Healthcare, Academic Press (Elsevier), pp. 231–255, ISBN: 978-0-323-90548-0. https://doi.org/10.1016/B978-0-323-90548-0.00012-7.
Vijay Jeyakumar, K. Nirmala, Sachin G. Sarate (2021), Non-contact Measurement System for COVID-19 Vital Signs to Aid Mass Screening — An Alternate Approach, In: Cyber-Physical Systems AI and COVID-19, Academic Press (Elsevier), pp. 75–92, ISBN: 978-0-12-824557-6. https://doi.org/10.1016/B978-0-12-824557-6.00006-6 (Scopus, PubMed Indexed PMCID: PMC9261493).
Saritha Balu, Vijay Jeyakumar (2021), A Study on Feature Extraction and Classification for Tongue Disease Diagnosis, In: Intelligence in Big Data Technologies—Beyond the Hype, Springer, Singapore, pp. 341–351. Print ISBN: 978-981-15-5284-7; Online ISBN: 978-981-15-5285-4. https://doi.org/10.1007/978-981-15-5285-4_34.
Preethi Kurian, Vijay Jeyakumar (2020), Multimodality Medical Image Retrieval Using Convolutional Neural Network, In: Deep Learning Techniques for Biomedical and Health Informatics, Academic Press (Elsevier), pp. 53–96, ISBN: 978-0-12-819061-6. https://doi.org/10.1016/B978-0-12-819061-6.00003-3.
Karthiga Nagaraj, Vijay Jeyakumar (2019), A Study on Comparative Analysis of Automated and Semi-automated Segmentation Techniques on Knee Osteoarthritis X-Ray Radiographs, Lecture Notes on Computational Vision, Vol. 30, Springer, pp. 1655–1666, ISBN: 978-3-030-00664-8. https://doi.org/10.1007/978-3-030-00665-5_153.
Vijay Jeyakumar, Bommanna Raja Kanagaraj (2019), A Medical Image Retrieval System in PACS Environment for Clinical Decision Making, In: Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions, Academic Press (Elsevier), pp. 121–146, ISBN: 978-0-12-815553-0. https://doi.org/10.1016/B978-0-12-815553-0.00006-9.
Ilakia Bharathi B, Varsha V, Venkatesh M, Vijay Jeyakumar, Nithiya R, Rithvik Ramesh presented a paper titled “Gaze based Attention Monitoring and Assessment System” in the 6th IEEE International Conference on Control, Communication and Computing, College of Engineering, Trivandrum held during May 23–25, 2025.
Pradeep K, Vijay Jeyakumar presented a paper titled “3D Modeling and Analysis in OCT-Angiography: Enhancing Diabetic Retinopathy Diagnosis and Vascular Assessment” at the 3rd International Conference on Biomedical Engineering Science and Technology organized by NIT, Raipur on April 10, 2025.
K. Anandan, P. K. Subbaraj, V. Jeyakumar, S. R. Thella and P. Selvaraj, "Milk Pit: IoT-Integrated Milk Analyzer with Cloud-Connected Mobile Application," 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2025, pp. 680–686, doi: 10.1109/IDCIOT64235.2025.10914881.
R. Arulselvi, Vijay Jeyakumar, N. Gowri Vidya, Gurucharan Marthi Krishna Kumar, M. Lakshmi presented a paper titled “Remote Blood Pressure Measurement Through Facial PPG Signals” in the 2024 IEEE TENCON Conference, Singapore on December 04, 2024.
A. V. Trisha, Shivapriya S, B. Sanjeeth, Vijay Jeyakumar, M. Lakshmi presented a paper titled “Non-Contact Measurement of Temperature Using RGB Facial Images” in the 2024 IEEE TENCON Conference, Singapore on December 03, 2024.
Vijay Jeyakumar, Anusha A, Giridharani R, Shivapriya S, Supriya R. S. presented a poster titled “Development of Game-based Virtual Environment for Post-Stroke Rehabilitation Patients” in the 2024 IEEE TENCON Conference, Singapore on December 02, 2024.
Vijay Jeyakumar, Sneha Vikram, Abishake, Ruban V presented a paper titled “Unloader Knee Brace for Osteoarthritis Patients” in the International Conference and Forum on Assistive Technologies for Special Needs held at Kuwait College of Science and Technology, Kuwait on December 10, 2024.
Vijay Jeyakumar, Anusuya J. S., Jeya Marshaline M presented a paper titled “Walk India: 3D Scanning based Personalized Prosthetics for Rural Amputees” in the International Conference and Forum on Assistive Technologies for Special Needs held at Kuwait College of Science and Technology, Kuwait on December 10, 2024.
Ilakkiya Bharathi B, Varsha V, Venkatesh M, Vijay Jeyakumar presented a paper titled “AI for Early Detection: Leveraging 1D CNN & Bi-LSTM Models to Monitor Schizophrenia via EEG Signals” in the International Conference and Forum on Assistive Technologies for Special Needs held at Kuwait College of Science and Technology, Kuwait on December 10, 2024.
Sanjith T, Vijay Jeyakumar, Pradeep K presented a paper titled “Enhanced Endoscopy Navigation Using Photometric Residuals and Volumetric Reconstruction by TSDF” in the Carnegie Mellon Forum on Biomedical Engineering (virtual event) held on September 20, 2024.
A. V. Trisha, S. Shivapriya, B. Sanjeeth, Vijay Jeyakumar, M. Lakshmi, “Non-Contact Measurement of Temperature Using RGB Facial Images”, Carnegie Mellon Forum on Biomedical Engineering (virtual event) held on September 20, 2024. Subasri C. K. and Vijay Jeyakumar presented a paper on “Development of Predictive Controller for Bergman Minimal Model using IoT Technique” in Symposium on Smart, Sustainable, and Secure Internet of Things (S4 IoT24) organized by Kuwait College of Science and Technology during May 7–8, 2024.
Subha B, Vijay Jeyakumar presented a paper titled “EFFICIENT NET B0-based Classification of Osteoarthritis in Knee X-Rays: A Grading Approach” in the International Conference on Recent Trends in Information, Communication and Electrical Engineering (ICRTICE 2K24) organized by Sethu Institute of Technology, Madurai during March 27–28, 2024.
Selvaraj P, Kavitha A, Pravinkumar S, Vijay Jeyakumar presented a paper titled “IoT Integrated Dairy Farmers Support Digital Solutions through Tamil Language Interface (Milk Pit)” in the International Conference “Kani Tamizh” held on February 09–10, 2024 organized by Tamil Virtual Academy, Chennai.
Supraja V, Haripriya C, Praveenkumar K. R., Vijay Jeyakumar, Selvaraj S presented a paper titled “Smartphone-based Tamil Language Interfaced Digital Solutions (FiSA) – Stray Tracking App” in the International Conference held on February 09–10, 2024 organized by Tamil Virtual Academy, Chennai.
Vijay Jeyakumar, Padmanaban S, Gurucharan M presented a paper titled “Design and Development of Wearable Textrodes for Monitoring Physiological Parameters” in the 21st IEEE MDBS-BHE Symposium 2023, City University of Hong Kong, China, December 19, 2023.
Supraja Vaidhyanathan, Srivibha Parthasarathy, Abishake S, Vijay Jeyakumar, Prasath V presented a poster titled “Design and Development of Splints” in the 3D Graphy Engineering & Medical (3DGEM) 2023 Conference organized by 3D Graphy & IIT Bombay held during December 9–10, 2023.
Sanjith T, Vijay Jeyakumar, Shriraam Mahadevan, Pradeep K presented a poster titled “The PCM based Drug Storage System” in the 3D Graphy Engineering & Medical (3DGEM) 2023 Conference organized by 3D Graphy & IIT Bombay held during December 9–10, 2023.
Nivethitha M, Vijay Jeyakumar, “The Negative Impacts of Sport Injury and the Techniques Involved in Correlating EMG and EEG Signal: A Review,” in Proceedings of IEEE 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Delhi, India, July 6–8, 2023.
Saritha B, Vijay Jeyakumar, Kalaiarasi G, “A Survey on Various Classifier Models for Diagnosis of Diabetes from Tongue Images,” in Proceedings of IEEE 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Delhi, India, July 6–8, 2023.
Subasri Chellamuthu Kalaimani, Vijay Jeyakumar, “Comparative Analysis of Machine Learning Algorithms for Diabetes Prediction Using Real-Time Dataset,” in Proceedings of IEEE 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Delhi, India, July 6–8, 2023.
Chandramouli K, Rakshitha S, Nisha S, Jai Kishore R, Vijay Jeyakumar, “Detection of Heart Rate from Facial Videos using Eulerian Video Magnification Captured with Commercially Available Smartphones,” in Proceedings of International Conference on Intelligent Systems in Smart Healthcare (ICISSH-2023) organized by Department of Biomedical Engineering, Bannari Amman Institute of Technology, Coimbatore, March 10, 2023.
Arulselvi R, Vijay Jeyakumar, Gowri Vidhya N, Yuvaraj C presented a paper titled “A Study on Impacts of Ambient Lights and Skin Tone for Contactless Blood Oxygen Measurement Using Visible Spectrum Facial Videos” in 2nd IEEE Delhi Section Owned Conference DELCON 2023 hosted by Chitkara University, Punjab on February 24, 2023 (Won Best Paper Award).
Gowri Vidhya N, Vijay Jeyakumar, Arulselvi R, “Evaluation of Deep Learning Methods and Face Detection Framework with Convolutional Neural Network,” in Proceedings of 8th IEEE International Conference on Electrical Electronics and Computer Science (SCEECS ’23) (Flagship Conference of IEEE-MSB) organized by MANIT, Bhopal, India on February 18, 2023.
- Excellence award from KPR Management, 2016.
- Sri P K Das Memorial Best Faculty Award from Nehru Group of Institutions under the Bioscience Junior category, Coimbatore, 2018.
- Several times recipient of the SSN Best Teacher Award.
- Received IEEE MAS Outstanding Intellectual Property Award, IEEE Madras Section, 2025.
- Secretary of IEEE Signal Processing Society, IEEE Madras Section.
- Program Assessment Committee Member, Academic Audit Member, Strategic Planning member, Board of Studies Member, Board Chairman of Affiliated Engineering Colleges and Deemed to be Universities.
- IEEE India Council IAYPC-2025 Career Program - Mentor
- IEEE Sigma Program – Mentor
- IEEE EMBS Student Mentoring Program