Michela Longhi | Metamaterials | Best Researcher Award

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Dr. Michela Longhi | Metamaterials | Best Researcher Award

Researcher, Niccolò Cusano University, Italy

🌟 Michela Longhi is an accomplished Italian researcher and professor specializing in electromagnetic materials and wireless systems technologies. With a passion for innovation, Michela holds leadership roles as an Associate Editor for Nonlinear Engineering and founding member of URSI Women in Radio Science. Her dynamic career spans academia, industry, and international collaborations. 🌍

Publication Profile

scopus

Education🎓

PhD in Engineering (European Label), University of Rome “Tor Vergata,” 2015–2018, focusing on pervasive electromagnetics. International PhD Fellowship, ETH Zurich, 2017–2018, specializing in autonomous robotic systems. Research Fellowship, CNR IEIIT, Politecnico di Milano, 2015, focused on neuromodulation. Experiments at ESRF, 2015, Grenoble, France, studying liquid crystal properties. Trainee Period, ESA ESTEC, 2014, designing satellite components.

Experience👩‍💻

Associate Editor, Nonlinear Engineering Journal, 2023–present. Postdoctoral Researcher & Professor, Niccolò Cusano University, 2021–present, focusing on wireless and exoskeleton technologies. R&D Engineer, Microwave Vision Group, 2019–2021, specializing in RF and antenna design. R&D Engineer, IDEA, 2019, working on IoT and machine learning solutions. Intern, ESA, 2014, contributing to satellite technology innovation.

Awards and Honors🏆

European PhD Label, University of Rome “Tor Vergata,” for outstanding academic research. Founding Member, URSI Women in Radio Science, advocating for gender diversity in STEM. Key Contributor, ESA Internship, for innovative satellite component design. Editor Role, Nonlinear Engineering Journal, showcasing leadership in scientific publishing.

Research Focus🌟

Electromagnetic Materials: Advancing artificial materials for wireless and exoskeleton applications. Wireless Technologies: Developing antenna systems for 5G, aerospace, and automotive industries. Robotics & IoT: Innovating autonomous systems for smart cities and precise agriculture. Neuromodulation: Studying electromagnetic fields for health and well-being applications. Satellite Systems: Designing compact and efficient satellite components.

Publications:

“Time-Varying Metasurfaces for Efficient Surface-Wave Coupling to Radiation and Frequency Conversion”

Publication: Laser and Photonics Reviews, 2024, 18(12), 2400315

Details: The paper discusses the use of time-varying metasurfaces to optimize surface-wave coupling and enable efficient frequency conversion.

“Overcoming limitations of passive invisible antennas through bianisotropic nonreciprocal mantle cloaks”

Publication: Physical Review Applied, 2024, 21(6), 064045

Details: Explores advancements in antenna invisibility using bianisotropic and nonreciprocal technologies for mantle cloaking.

“A Statistical Approach for Robust Metasurfaces and Metasurface-Based RIS Engineering”

Publication: IEEE Transactions on Antennas and Propagation, 2024, 72(6), pp. 5402–5407

Details: Proposes statistical methods to improve the reliability of metasurfaces in reconfigurable intelligent surfaces (RIS).

“Design and Characterization of Line-Waves Waveguides for Microwave Applications”

Publication: IEEE Open Journal of Antennas and Propagation, 2024

Details: Focuses on designing waveguides leveraging line-waves for microwave technology.

“Enhancing Performance and Versatility of Wire Antennas with Metasurface Covers”

Event: ICEAA, 2024

Details: Investigates how metasurface covers can improve wire antennas’ functionality.

“Metasurface Dome in a Semicircular Configuration for Beamforming Applications”

Event: Metamaterials 2024

Details: Discusses semicircular metasurface domes tailored for beamforming.

“Temporal Interfaces in Time-Modulated Metasurface for the Excitation of Space-Time Wave Packets”

Event: Metamaterials 2024

Details: Explores time-modulated metasurfaces to create space-time wave packets.

“Reflecting and Transmitting Metasurfaces for Composite Vortex Generation”

Event: Metamaterials 2024

Details: Focuses on metasurfaces capable of generating composite vortices through reflection and transmission.

“Design of Self-Reconfigurable Huygens Metasurfaces for Antenna Applications”

Event: Metamaterials 2024

Details: Presents Huygens metasurfaces with self-reconfigurable capabilities for antenna systems.

“Metasurfaces Aided Signal Processing for Smart Electromagnetic Environments”

Event: Metamaterials 2024

Details: Covers how metasurfaces can enhance signal processing in smart electromagnetic settings.

 

Conclusion

Michela Longhi is a highly qualified candidate for the Best Researcher Award, with her interdisciplinary expertise, leadership in women’s empowerment initiatives, and dedication to advancing engineering and science. By emphasizing her research output, global collaboration, and project leadership, she could further cement her standing as a frontrunner for this accolade. Her achievements align with the spirit of the award, celebrating innovation and excellence in research.

Joseph Stancanello | Medical | Excellence in Innovation

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Dr. Joseph Stancanello | Medical | Excellence in Innovation

Vicepresident, Elekta, France

Joseph Stancanello (b. 09/03/1976) is a global healthcare technology leader with a Ph.D. in Bioengineering from Politecnico di Milano. 🌍 With executive roles across top medical companies like Elekta, Guerbet, and Siemens Healthcare, he has driven innovation in radiotherapy and imaging systems. ✨ An expert in P&L management, business development, and R&D, Joseph bridges clinical, regulatory, and business needs. He excels in defining value propositions and fostering innovation through strategic partnerships and mergers. 💡 Beyond his corporate impact, he reviews cancer research proposals for European TRANSCAN calls and AI funding for the Italian Ministry of Research. 🧠 His expertise spans AI, radiotherapy, and advanced imaging technologies, addressing both patient care and market growth.

Publication Profile

scopus

Education🎓

Joseph Stancanello has a Ph.D. in Bioengineering and an MSc in Biomedical Engineering, both magna cum laude from Politecnico di Milano. 🌟 He also earned an Executive MBA from MIP Politecnico di Milano, securing the 2010 Best Dissertation Prize. 🎖️ His educational foundation includes:  Executive education at INSEAD, SDA Bocconi, and MIT-Sloan School of Management.  Specialized programs like “Finance for Executives” and “Driving Strategic Innovation. nA classical education background from “Secusio” Liceo in Italy (60/60). Joseph combines technical expertise with business acumen, driving healthcare innovation globally.

Experience 🌍

Joseph Stancanello has over two decades of global healthcare experience: VP Clinical Applications, Elekta (2021–Present): Leads global teams in advancing radiotherapy imaging and therapy solutions. Director of Marketing AI, Guerbet (2019–2021): Launched AI-based cancer diagnostics solutions. CEO, Oncoradiomics (2017–2019): Managed VC fundraising and global business strategies. Leadership roles at GE and Siemens (2007–2015): Spearheaded MRI research, workflows, and innovative imaging techniques.

Awards & Honors🏆 

Joseph Stancanello has received multiple accolades for his contributions to healthcare: Best Dissertation Prize, Politecnico di Milano Executive MBA, 2010. Invited reviewer for European TRANSCAN cancer calls and AI projects (2022–2024). Recognized for advancing imaging systems and radiotherapy applications globally.
These achievements underscore his leadership in healthcare technology and research.

Research Focus 🌟

Advanced radiotherapy techniques and imaging for cancer care. 📊 AI in healthcare, focusing on diagnostic and predictive tools  Morphological and functional imaging in radiosurgery. Bridging clinical needs with technology innovations to improve patient outcomes His research drives precision medicine and healthcare transformation globally.

Publications

  • Evolution of AI in Medical Imaging: The review by Avanzo et al. (2024) emphasizes the integration of computer science principles with machine and deep learning techniques to enhance medical imaging applications.
  • Head and Neck Cancer Prognosis: Studies by Wang et al. (2022) and Lombardo et al. (2021) develop convolutional neural network (CNN)-based models for predicting cancer prognosis and metastasis, demonstrating the potential of AI in clinical oncology.
  • Radiomics and Deep Learning: The series of works, including a review in Strahlentherapie und Onkologie (2020), explore how combining radiomics and deep learning improves tumor response prediction and radiotherapy outcomes.
  • Lung Cancer and Radiomics: Multiple studies, including Avanzo et al. (2021), utilize CT imaging and biologically effective dose data in radiomics to enhance predictive models for robotic lung stereotactic radiation therapy.
  • Fibrosis and Dosimetry: Avanzo and colleagues (2020) focus on using machine learning to predict radiation-induced fibrosis, advancing personalized medicine approaches in radiotherapy.
  • AI in Hybrid Imaging: Castiglioni et al. (2019) detail how AI-based tools in hybrid imaging facilitate multi-parametric decision-making, underscoring the versatility of AI in various imaging modalities.
  • Practical Applications in IOERT: Research on intraoperative electron radiotherapy (Avanzo et al., 2020) addresses dosimetry challenges and tissue inhomogeneities, bridging AI with practical clinical applications.
  • Clinical Trials in Breast Cancer: Long-term outcomes of partial breast irradiation trials (Vinante et al., 2019) highlight advancements in treatment protocols facilitated by AI-enhanced imaging analysis.

Conclusion

Dr. Joseph Stancanello’s exemplary leadership in medical imaging, AI-driven solutions, and radiotherapy innovation makes him an ideal candidate for the Research for Excellence in Innovation Award. His ability to bridge technical expertise with strategic foresight has significantly influenced global healthcare innovation. Continued efforts to expand his publication record and integrate broader societal benefits into his projects would further enhance his profile. This evaluation underscores his readiness to receive this recognition as a pioneer in healthcare innovation.