Assoc. Prof. Dr. Felix – Constantin Adochiei | Embedded Systems | Research Excellence Award

Assoc. Prof. Dr. Felix – Constantin Adochiei | Embedded Systems | National University of Science and Technology POLITEHNICA Bucharest | Romania

Assoc. Prof. Dr. Felix – Constantin Adochiei is a distinguished Romanian academic, researcher, and technology leader based in Bucharest, Romania, recognized for his sustained contributions to electrical engineering, biomedical instrumentation, real-time systems, and digital health, currently serving as Associate Professor at the Faculty of Electrical Engineering, Politehnica University of Bucharest, while also holding the leadership role of General Secretary of the International Society for Digital Health and Education, reflecting both academic excellence and international professional engagement. Felix-Constantin Adochiei completed a Bachelor’s degree in Bioengineering with specialization in Biomedical Instrumentation, followed by a Master’s degree in Medical Bioengineering, developing strong foundations in electronics, IT, biotechnology, biomedical instrumentation, and advanced signal processing, and further advanced his expertise through doctoral studies in electronics, telecommunications, and information technology, complemented by European doctoral internships, professional training in Java software development, and extensive international research exposure in Germany focused on embedded systems and software–hardware co-design. Felix-Constantin Adochiei has progressed through academic ranks from University Assistant to University Lecturer and Associate Professor at Politehnica University of Bucharest, contributing significantly to teaching, curriculum development, and research supervision, while simultaneously serving as research engineer and research assistant in multiple nationally funded projects addressing real-time medical telemonitoring, high-precision micro- and nano-sensors for space and inertial navigation, bio-monitoring platforms for critical infrastructures, and intelligent sensor systems, alongside international research fellowships supported by DAAD that strengthened his global collaboration profile and applied research capabilities.

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Featured Publications

Cardiovascular and Cardiorespiratory Coupling Analyses: A Review

– Philosophical Transactions of the Royal Society A, 2013 · 219 citations

A Wireless Low-Power Pulse Oximetry System for Patient Telemonitoring

– Int. Symposium on Advanced Topics in Electrical Engineering, 2011 · 46 citations

Telemedicine System for Remote Blood Pressure and Heart Rate Monitoring

– E-Health and Bioengineering Conference, 2011 · 43 citations

Electronic System for Real-Time Indoor Air Quality Monitoring

– E-Health and Bioengineering Conference, 2020 · 36 citations

Robotic Platform with Medical Applications in the Smart City Environment

– Int. Symposium on Advanced Topics in Electrical Engineering, 2019 · 33 citations

Dr. Jose Anand A | Embedded Systems | Editorial Board Member

Dr. Jose Anand A | Embedded Systems | KCG College of Technology | India

Dr Jose Anand is a distinguished academic and researcher whose extensive contributions to artificial intelligence, sensing technology, wireless communication security, environmental modeling, and intelligent transportation systems have positioned him as a highly respected figure in the global research community, and throughout his career Dr Jose Anand has demonstrated strong academic leadership, technical excellence, and multidisciplinary innovation. In terms of education, Dr Jose Anand completed his Ph.D. in a leading engineering institution with a specialization in artificial intelligence and its applications to sensing systems, data-driven security, and smart infrastructure, supported by earlier degrees in engineering and computer science that shaped his strong foundational expertise. His professional experience spans teaching, collaborative research, academic leadership roles, and active involvement in interdisciplinary projects where he has contributed extensively to AI-driven mobility optimization, satellite-based agricultural prediction, ethical AI frameworks, security solutions for wireless communication, and explainable artificial intelligence for energy systems. Dr Jose Anand’s research interests extend across intelligent sensing systems, machine learning, graph neural networks, IoT security, environmental data analytics, energy forecasting, anomaly detection, and the broad spectrum of computational models that strengthen safety, efficiency, and sustainability in complex systems. His research skills include advanced data analysis, model development, algorithm design, satellite imagery interpretation, AI-based forecasting, cybersecurity modeling, application-oriented deep learning, and graph-theoretical methods for real-time infrastructure intelligence.

Professional Profiles: Scopus

Featured Publications

Jose Anand, A. (2025). Soil and crop interaction analysis for yield prediction with satellite imagery and deep learning techniques for the coastal regions. Journal of Environmental Management. 2 citations.

Jose Anand, A. (2025). Artificial intelligence in financial fraud detection. In Book Chapter. 0 citations.

Jose Anand, A. (2025). Ethical considerations and privacy in AI-powered security. In Book Chapter. 0 citations.

Jose Anand, A. (2025). Signature-based security in wireless communication. In Book Chapter. 0 citations.

Jose Anand, A. (2025). Neural networks and graph models for traffic and energy systems. Book. 0 citations.

Jose Anand, A. (2025). Revolutionizing urban traffic mobility with graph neural networks-driven intelligent transportation systems. In Book Chapter. 0 citations.

Jose Anand, A. (2025). Explainable AI for energy demand forecasting. In Book Chapter. 3 citations.