Prof. Luigi Occhipinti | Human-Computer Interaction | Best Researcher Award

Prof. Luigi Occhipinti, University of Cambridge, United Kingdom

Prof. Luigi Occhipinti is a distinguished researcher in nanotechnologies, smart sensors, and AI-driven biosystems. He serves as Director of Research and Professor at the University of Cambridge, leading groundbreaking advancements in flexible electronics and human-machine interfaces. With over 25 years of industry and academic experience, he has contributed significantly to graphene technologies, biosensors, and AI-assisted wearable systems. Previously, he held leadership roles at STMicroelectronics, overseeing strategic alliances and pioneering nano-organic research. Prof. Occhipinti has 97 journal publications, 92 patents, and an h-index of 32, underscoring his impact on next-generation electronics, healthcare technology, and advanced computing systems.

🌍 Professional Profile:

ORCID

SCOPUS

🏆 Suitability for Best Researcher Award

Prof. Occhipinti’s cutting-edge contributions to nanotechnology, biosensors, and AI-driven systems make him an outstanding candidate for the Best Researcher Award. His extensive patent portfolio (92 patents, 51 granted) and pioneering work in wearable human-machine interfaces and flexible electronics demonstrate an unparalleled commitment to technological advancement. As an IEEE Senior Member and recipient of the 2024 IEEE Sensor Council Technical Achievement Award, he has gained global recognition for shaping next-generation intelligent systems. His multidisciplinary expertise in bioengineering, advanced materials, and AI solidifies his standing as an innovator pushing the boundaries of science and technology.

🎓 Education

Prof. Luigi Occhipinti holds a Ph.D. in Electrical Engineering from the University of Rome “Tor Vergata” (1997), where he specialized in automation and control systems. His Master’s (MEng) and Chartered Engineering (CEng) degrees in Electronic Engineering were earned at the University of Catania (1992). His academic journey has been complemented by leading teaching roles at Cambridge University, Università degli Studi di Catania, and EPSRC Centres for Doctoral Training in Graphene Technologies. His expertise spans power electronics, flexible electronics, and nanotechnologies, contributing significantly to cutting-edge advancements in smart materials and AI-powered biosensing applications.

💼 Experience

Prof. Occhipinti’s career spans academic leadership and industrial innovation. At Cambridge University, he has been a Director of Research and Professor since 2014, spearheading nanotechnology, biosensing, and AI research. Previously, he held senior roles at STMicroelectronics (1995-2014), including Design Team Leader, Group Leader of Nano-Organics, and Strategic Alliances Manager. His expertise in soft computing, analog design, and microelectronics has influenced wearable technologies, flexible electronics, and AI-driven interfaces. His industry and academic roles have led to breakthroughs in healthcare monitoring, AI-based sensing, and next-generation human-computer interaction systems.

🏅 Awards & Honors

Prof. Occhipinti’s groundbreaking contributions have earned him numerous prestigious awards. In 2024, he received the IEEE Sensor Council Technical Achievement Award for Advanced Career, recognizing his impact on sensor technology and smart electronics. He has been an IEEE Senior Member since 2021 and an IEEE Electron Devices Society & IEEE Engineering in Medicine and Biology Society member. His membership in the American Chemical Society (2018-2021) further highlights his interdisciplinary expertise. With 97 journal publications, 92 patents, and leadership roles in international research programs, his influence on next-gen AI, flexible electronics, and biosensing technology is widely recognized.

🔬 Research Focus

Prof. Occhipinti’s research spans human-computer interaction, AI-assisted wearable human-machine interfaces, bioengineering, nanotechnology, and advanced materials. His work in flexible & stretchable electronics, AI-driven biosensors, and resilient intelligent systems has revolutionized next-gen healthcare and IoT applications. His expertise in graphene technologies and high-frequency electronics supports innovations in sustainable, energy-efficient computing. He leads groundbreaking projects in AI-enhanced neurotechnology, medical diagnostics, and smart sensor networks, with a focus on developing bioelectronic systems for precision medicine. His pioneering efforts continue to push the boundaries of AI-integrated biomedical engineering and next-generation smart systems.

📖 Publication Top Notes

Graphene: Europe in the Lead Coordination and Support Action
Development of a Multifunctional Biomaterial Patch for Buccal Delivery of Peptide-Analogue Treatments
Graphene, MXene, and Ionic Liquid-Based Sustainable Supercapacitor
GRAphene PHotonic Frequency miXer (GRAPH-X)
Chemometric Histopathology via Coherent Raman Imaging for Precision Medicine (CHARM)
Smart Sensor Technology – Wearable Electronics

Dr. Rebakah Geddam , Nirma University , India

Rebakah Geddam is an accomplished educator and researcher specializing in Cognitive Neuroscience and Computational Neuro-informatics Models at Nirma University. With over a decade of teaching experience, she previously served as Assistant Professor at LDRP Institute of Technology and Research for nearly 11 years. Rebakah holds a Ph.D. in Computer Applications from the School of Doctoral Research and Innovation at GLS University, focusing on Brain Computer Interfaces for enhancing cognitive performance. Her expertise spans Embedded Systems, Internet of Things (IoT), Augmented Reality, Robotics, Machine Learning, and Cognitive Behavioral Sciences. Rebakah is recognized for her leadership in establishing robotics labs and organizing workshops, contributing significantly to the field of educational technology

Professional Profile:

Scopus

🎓Education:

Rebakah Geddam has pursued a distinguished academic journey, culminating in a Ph.D. in Computer Applications from the School of Doctoral Research and Innovation at GLS University, where her research focused on developing a model to analyze signals from Brain Computer Interfaces for obtaining Neuro-Feedback. Prior to her doctoral studies, she completed an M.Tech in Information Technology at KSOU, specializing in IT. Rebakah’s foundational education includes a B.Tech in Computer Science from JNTU, Hyderabad, alongside her secondary education comprising 12th Grade (IBSE) and 10th Grade (ICSE), which laid the groundwork for her subsequent achievements in the fields of Cognitive Neuroscience, Computational Neuro-informatics Models, Embedded Systems, Internet of Things (IoT), Augmented Reality, Robotics, Machine Learning, and Cognitive Behavioral Sciences.

🏢Work Experience:

Rebakah Geddam brings extensive experience and expertise to her role as an educator and researcher. She currently serves as an Assistant Professor at Nirma University, a position she has held since September 2021. Prior to this, Rebakah spent over a decade at LDRP Institute of Technology and Research, where she excelled as an Assistant Professor from May 2010 to September 2021, accumulating nearly 11 years of teaching experience. Her academic journey began earlier as a Lecturer at the same institute from October 2007 to May 2010. Before transitioning to academia, Rebakah contributed significantly as a Placement Officer at the Indian Institute of Hardware Technology (IIHT) from August 2003 to September 2007, gaining valuable experience over a span of 4 years and 2 months. Her diverse roles have enriched her understanding of educational dynamics and underscored her commitment to fostering learning and innovation in the field of computer science and cognitive sciences.

🏆Awards and Recognitions:

Rebakah Geddam has also distinguished herself through various leadership roles and achievements in educational technology and innovation. She secured a significant grant of 2 Lac for establishing an AI mirror with embedded applications at KSV, showcasing her strategic vision and commitment to advancing technological infrastructure. As the leader of E-Yantra at IIT-Bombay, Rebakah played a pivotal role in establishing a Robotics Lab, contributing to hands-on learning and research in robotics. Additionally, she has served as an organizer and resource person for workshops that not only imparted knowledge but also generated substantial internal revenue, highlighting her proactive approach and impactful contributions to the academic community. Her initiatives underscore her dedication to enhancing educational environments through cutting-edge technology and practical learning experiences

Publication Top Notes:

Article: Revolutionizing healthcare: IoMT-enabled digital enhancement via multimodal ADL data fusion
- Authors: H. Ghayvat, M. Awais, R. Geddam, P. Tiwari, W. Löwe
Article: AiCarePWP: Deep learning-based novel research for Freezing of Gait forecasting in Parkinson
- Authors: H. Ghayvat, M. Awais, R. Geddam, G. Fortino, K. Dev
Article: Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System
- Authors: A. Thakkar, N. Kikani, R. Geddam
Article in Press: Digitally Enhanced Home to the Village: AIoMT-Enabled Multi-Source Data Fusion and Power-Efficient Sustainable Computing
- Authors: H. Ghayvat, M. Awais, R. Geddam, L. Nkenyereye, K. Dev
Conference Paper: Enhanced Pothole Detection Using YOLOv5 and Federated Learning
- Authors: A. Singh, A. Mehta, A.A. Padaria, R. Geddam, S. Tanwar