Sathyabama Institute of Science of Technology, India
👨🎓Profiles
🎓 Early Academic Pursuits
Dr. Bethanney Janney J began her academic journey with a Bachelor of Engineering in Biomedical Instrumentation from the School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore. She further specialized in Applied Electronics, earning a Master of Engineering from St. Joseph’s College of Engineering, Anna University, Chennai. Her academic endeavors culminated in a Ph.D. in Biomedical Engineering from Sathyabama Institute of Science and Technology, Chennai, where her research focused on the early detection and morphological studies of skin lesions using image processing techniques.
👩🏫 Professional Endeavors
Dr. Janney has held academic positions at Sathyabama Institute of Science and Technology, Chennai, advancing from Assistant Professor to Associate Professor in the Department of Biomedical Engineering. Her roles have included teaching, research guidance, lab development, and collaboration on funded projects. She is an active contributor to the academic and research missions of the School of Bio and Chemical Engineering.
🔬 Contributions and Research Focus
Dr. Janney’s multidisciplinary research spans across non-invasive diagnostics, medical image and signal processing, and AI-based healthcare innovations. Her projects include an AI-powered non-invasive device for hormone detection aimed at predicting menstruation in differently-abled women, deep learning applications for detecting ovarian and uterine cancers through mobile interfaces, a hand-held exhaled breath analyzer for diagnosing COPD and respiratory disorders, and portable health monitoring kiosks for rural and public spaces to monitor vital signs. Her work also explores melanoma classification, early kidney failure detection, and medical image compression using DWT. These projects are supported by institutional and national initiatives such as Unnat Bharat Abhiyan and TBI-SIST.
🌍 Impact and Influence
Her innovations target real-world health challenges, particularly in resource-constrained settings. Her smart, cost-effective health solutions—especially the health kiosks and breath analyzers—are poised to transform accessibility and early diagnosis across urban and rural landscapes. She has been widely recognized with multiple best paper awards, seed funding grants, and certificates of publication excellence, underscoring her research impact.
📚 Academic Cites and Recognitions
Dr. Janney’s academic excellence has been acknowledged through several honors, including NPTEL Domain Scholar and Discipline Star in Data Science under the Computer Science and Engineering domain. She has served as a mentor for online courses in Deep Learning and has received numerous Best Paper Awards at leading national and international conferences. Her academic engagement is further highlighted by more than 35 certifications across Coursera, NPTEL, and Udemy. She was also recognized as a GATE scorer, showcasing early academic competitiveness.
💻 Technical Skills
Dr. Janney brings a comprehensive skill set in both software and hardware systems relevant to her field. Her software skills include MATLAB, Python, C, and Visual Basic, while her hardware and HDL proficiencies include VHDL, Verilog, and LABVIEW. This unique blend equips her to develop, simulate, and implement biomedical systems effectively.
📖 Teaching Experience
She has taught a wide array of subjects that blend foundational theory with applied biomedical engineering. These include Digital Image Processing, Biosignal Conditioning, Biosensors and Transducers, Biomedical Instrumentation, Fuzzy Logic and Neural Networks, Rehabilitation Engineering, Virtual Instrumentation, and AI and Robotics. Her courses are further enriched by her research experience and practical applications in health technology.
🌟 Legacy and Future Contributions
Dr. Janney’s legacy is one of innovation, education, and social responsibility. Her ongoing research continues to explore the boundaries of AI in healthcare—focusing on portable, non-invasive, and intelligent diagnostic tools. She aims to expand these systems to reach underserved populations, promote early detection, and support preventive healthcare models. Her long-term vision includes mentoring young engineers and driving translational research with a societal edge.
📖Notable Publications
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AI-Powered Automated Wheelchair with Lane Detection
Contributors: Abiraj, B.; Sethuraman, K.; Bethanney Janney, J.; Prince Grace Kanmani, P.; Sudhakar, T.; Ezekiel Jebaraj, S.
Conference: 2024 International Conference on Emerging Smart Computing and Informatics (ESCI 2024)
Year: 2024
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Image Analysis for Diagnosis of Glaucoma using Soft Computing Methods
Contributors: Ponni, S.; Tejaswini, S.; Sushmitha, S.; Premkumar, J.; Bethanney Janney, J.; Divakaran, S.
Conference: 2024 10th International Conference on Biosignals, Images and Instrumentation (ICBSII 2024)
Year: 2024
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A Smart Bin for Disposal of Infectious Medical Waste
Contributors: Divakaran, S.; Janney, J.B.; Charan, M.A.; Krishnakumar, S.; Mathangi, B.; Dhanalakshmi, K.
Conference: International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF 2023)
Year: 2023
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An Analysis of the Design and Evolution of Braces for Lower Back Pain
Contributors: Bethanney Janney, J.; Kishore, R.; Keerthivasan, V.; Ponni, S.; Meenatchi, S.; Saraswathi, B.
Conference: 9th International Conference on Biosignals, Images, and Instrumentation (ICBSII 2023)
Year: 2023
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Assistance for Healthcare Professionals using Hand Gesture Recognition
Contributors: Sethuraman, K.; Jeffrey Delaperle, S.; Bethanney Janney, J.; Mohammed Thoufeeq, A.; Aadhitya, S.; Solomon, E.J.
Conference: 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES 2023)
Year: 2023
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Automated Detection of Breast Cancer using Artificial Intelligence Systems
Contributors: Janney, J.B.; Shivani, S.A.; Divakaran, S.; Krishnakumar, S.; Hemalatha, R.J.; Prince, P.G.K.
Conference: International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF 2023)
Year: 2023