TWO DAY WORKSHOP ON ECG SIGNAL PROCESSING & IEEE SPS STUDENT BRANCH CHAPTER CONCLAVE, HYDERABAD
TWO DAY WORKSHOP ON ECG SIGNAL PROCESSING & IEEE SPS STUDENT BRANCH CHAPTER CONCLAVE, HYDERABAD
Module 1: ECG Basics
Module 2: ECG Preprocessing
Module 3: ECG Feature Extraction
Module 4: ECG Analysis and Application
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Dr.Sharath Chandra Inguva,
Associate Professor, Matrusri Engineering College,
Treasurer, IEEE SPS Hyderabad Section
Speakers
Dr.Akhila
Digital Health Meets ECG: Innovations in Cardiac Monitoring
Biography:
Dr. Akhila is a highly skilled healthcare expert with over 13 years of experience in both hospital and telehealth sectors. Her credentials include a Medical Graduation, a Post-graduate Diploma in Data Science, and PMP certification, giving her a comprehensive foundation. She played a pivotal role in leading Apollo Hospitals to achieve ISO 13131 certification, the first in the world to do so, alongside ISO 9001:2015 and ISO 27001. Her expertise spans R&D in advanced Medtech devices and healthtech applications, with a strong focus on AI and machine learning. A published author, she excels in clinical governance, quality assurance, and fostering patient-centered care. In addition to founding her own Healthtech startup, Augsidius Health Technologies, Dr. Akhila currently serves as the Healthcare Practice Head at Bluecloud Softech Solutions, where she leads efforts to integrate AI innovations into healthcare practices. She also serves as Secretary - Telemedicine society of India, Telangana Chapter.
Dr.A.Srinivasulu
Introduction to ECG Signal Processing Signal Acquisition and Preprocessing Feature Extraction and Signal Analysis Machi
Biography:
Dr.AvvaruSrinivasulu is a highly accomplished academic and researcher with a distinguished background in medical electronics and signal processing. He has earned his Ph.D. from Visvesvaraya Technological University, India, specializing in Medical Electronics & Signal Processing, where his research focused on developing wearable frameworks for cardiac episode detection. He also holds an M.Tech in Instrumentation & Control Systems from JNTU Hyderabad, achieving the top rank, and a B.Tech in Electronics and Control Engineering from JNTU Hyderabad.
With over 17 years of research and teaching experience, Dr.Srinivasulu currently serves as an Assistant Professor at VNR VJIET, Hyderabad. He has previously worked as an Assistant Professor at VITS, Proddatur, and GITAM University, Bangalore. Also, he worked as a Solution Leader at Brane Enterprises Pvt. Ltd., where he led projects on wearable ECG devices, breath sensors, and various biomedical monitoring systems. Throughout his career, he has been integral in roles spanning project management, subject matter expertise, and mentorship.
His professional accomplishments also include contributingto a Department of Biotechnology-funded project to develop a wearable cardiac loop recorder for clinical and military applications. Dr. AvvaruSrinivasulu is a recognized reviewer in the field of biomedical signal processing and control, having contributed his expertise to several reputable journals, including Biomedical Signal Processing and Control, Elsevier, British Journal of Applied Science & Technology, IGI Global E-Editorial Discovery, Asian Journal of Immunology, International Neuropsychiatric Disease Journal, IEEE Access, and ISA Transactions.His work, including over 29 published papers, a patent, three books, and numerous technical contributions, underscores his dedication to bridging advanced AI, ML, and IoT technologies with practical healthcare applications, thereby shaping the future of medical diagnostics.
Kartheek Akurati
Biography:
Software Engineer II at MathWorks India Private Limited, holding an M.Tech in Data Science and Engineering. With 7 years of experience in signal processing, software-defined radios (SDRs) and AI for wireless communication
Address:Mathworks India Pvt. Ltd.,
Dr.Sudestna Nahak
Biography:
From 2018 to 2021, Dr. Nahak served as a Junior Project Officer on an IMPRINT-funded project titled “Development of Advanced Holter Monitor for Extended Recording and Episode Detection,” contributing to state-of-the-art solutions for heart disease monitoring via ECG signals. Her research interests include biomedical signal processing, image processing, pattern recognition, machine learning, and deep learning. With a strong foundation in processing various signals, including ECG, SCM, and lung sounds, she has a passion for creating predictive models that enable innovative healthcare solutions. Throughout her research tenure, Dr. Nahak has published in peer-reviewed journals and presented her work at national and international conferences.
Address:SRMIT,
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