Biomedical Computer Vision: IoT and Sensor Technologies in Healthcare Informatics

This book explores the intersection of biomedical computer vision, IoT, and sensor technologies, highlighting their growing impact on healthcare diagnostics, medical imaging, and remote patient monitoring. It presents cutting-edge applications of wireless sensor networks, the role of IoT in medical social media analytics, and the integration of smart systems in modern healthcare.

Mohit Mittal is a Data Scientist at Shiratech Knowtion GmbH in Germany, with previous experience as a post-doctoral researcher at INRIA in Lille, France, starting from October 2020. Prior to that, he completed a post-doctorate at Kyoto Sangyo University in Japan, where he spent one and a half years before completing his doctorate degree at Gurukul Kangri University in India in 2018. Mohit received his Bachelor's and Master's degrees in Computer Science and Engineering from Guru Nanak Dev University in Amritsar in 2010 and 2011, respectively. He has authored numerous papers published in prestigious journals and top-tier conferences, focusing on research areas such as Wireless Sensor Networks (WSN), Natural Language Processing (NLP), Data Mining, Explainable AI, Machine Learning, and Deep Learning.

Swadha Gupta is a dedicated and skilled researcher, currently working as Data Scientist at Shiratech Knowtion GmbH, Karlsruhe, Germany. She has completed her Phd degree from Thapar Institute of Engineering and Technology, India, in the field of Computer Science and Engineering. Before embarking on her doctoral journey, she completed her Master of Engineering in Computer Science and Engineering from Chandigarh University (2013-2015) and her Bachelor of Technology from Shri Mata Devi University (2009-2013). Before joining her Ph.D. program, Swadha served as an Assistant Professor at the Model Institute of Engineering and Technology in Jammu, India (2016-2018), where she imparted knowledge in core computer science subjects and engaged students in various research projects.Her research interests include Machine Learning, Deep Learning, and Statistical Analysis. Swadha has demonstrated her technical proficiency through skills in Python, various machine learning libraries, and CNN models.