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Dr. Emanuele Raso | Medical Devices | Best Researcher Award 

Research Fellow, at University of Rome Tor Vergata, Italy.

Emanuele Raso is a dedicated Research Fellow at the University of Rome Tor Vergata’s Department of Electronic Engineering. With a PhD in Computer Science, Control, and Geoinformation from the same university, he blends deep theoretical knowledge with hands-on research expertise. His career centers on cybersecurity, especially applied cryptography, data privacy, open-source intelligence, and the role of AI in the medical domain. Emanuele has contributed significantly to national and European research initiatives, including BPR4GDPR, I‑NEST, Rome Technopole, and ISP5G+. His work primarily addresses secure data processing and privacy‑preserving technologies in healthcare and critical infrastructure. With 16 journal publications, a Google Scholar citation count of 91 and Scopus count of 66, he is a visible contributor in his field. He also serves as Guest Editor for the MDPI Sensors special issue on “Cybersecurity in Healthcare and Medical Devices.” 🔬

Professional Profile

Scopus

ORCID

Google Scholar

🎓 Education 

Emanuele earned his PhD in Computer Science, Control, and Geoinformation from the University of Rome Tor Vergata. This rigorous program encompassed advanced studies in cryptographic systems, privacy-preserving computation, AI applications, and control theory. During his doctoral research, he engaged deeply with both theoretical frameworks and practical implementations of secure data systems, producing foundational work in confidentiality protocols. The university’s multidisciplinary environment allowed him to collaborate with peers in engineering, medicine, and computer science, reinforcing his holistic approach to cybersecurity and critical infrastructure protection. His educational background underpins his ability to bridge technical innovation and real-world application, particularly in safeguarding data within the medical and healthcare sectors. 🎓

💼 Experience 

Since obtaining his PhD, Emanuele has been a Research Fellow at the University of Rome Tor Vergata’s Department of Electronic Engineering. He has led interdisciplinary teams across cybersecurity-focused projects—most notably BPR4GDPR (data governance under GDPR), I‑NEST (resilient systems), Rome Technopole (innovation hub), and ISP5G+ (5G service security). His duties include designing cryptographic architectures, implementing privacy-enhancing systems, and advising on secure AI integration in medical devices. He routinely collaborates with government bodies, research institutions, and private stakeholders to protect critical infrastructure. Through supervising junior researchers and mentoring graduate students, he contributes to capacity-building in cybersecurity. Additionally, as Guest Editor for MDPI Sensors’ special issue, he evaluates research quality and facilitates dissemination of best practices in healthcare cybersecurity. 💼

🔬 Research Interests

Emanuele’s research lies at the intersection of cybersecurity, cryptography, and AI for healthcare. He focuses on applied cryptographic techniques to ensure data privacy and confidentiality, especially in patient data and medical devices. His work in open-source intelligence explores secure data collection and aggregation methods without compromising confidentiality. Additionally, he investigates AI algorithms designed for the medical domain that incorporate built-in privacy safeguards. In projects like BPR4GDPR and ISP5G+, he addresses secure data storage, transmission, and interoperability under stringent regulatory frameworks. His interest in privacy‑preserving technologies spans both theoretical advances—like homomorphic encryption—and practical system deployments in critical digital infrastructures, including healthcare and communications networks. 🔬

🏆 Awards 

Emanuele has achieved notable recognition in cybersecurity research. Although he has not yet secured formal awards, he has been selected as Guest Editor for MDPI Sensors’ “Cybersecurity in Healthcare and Medical Devices” special issue—an acknowledgment of his standing in the field. His successful involvement in Europe‑wide research programs—including BPR4GDPR, I‑NEST, Rome Technopole, and ISP5G+—demonstrates peer trust in his technical leadership. With a strong publication record (16 indexed journal papers) and citation indices of 91 (Google Scholar) and 66 (Scopus), his academic contributions are well-recognized. His professional memberships, such as with the NAM LAB under CNIT, further reinforce his reputation. Submitting for the International Molecular Biologist Awards’ Best Researcher Award would be a fitting milestone in his emerging career. 🏆

📚Top Noted Publications 

Emanuele has authored 16 peer‑reviewed articles in SCI‑ and Scopus‑indexed journals, exploring themes like applied cryptography, data privacy, and AI in cybersecurity for healthcare systems. Topics include homomorphic encryption for secure patient data sharing, adversarial resistance in medical-device AI, and GDPR-aligned secure data processing architectures. His works often propose novel frameworks and validate them through real-world case studies. Many of his publications have garnered attention: Google Scholar records 91 total citations, while Scopus shows 66, signaling impactful contributions. He also edited a special issue for MDPI Sensors, showcasing his ability to guide discourse in his specialist domain. These publications bridge theoretical constructs and practical deployments in critical infrastructure security. 📚

🔗 Research Interests Publication Links (single-line prompts)

1. HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications

  • Journal: Sensors (Basel)

  • Publication Date: July 28, 2023 Medscape Reference CoLab

  • Authors: Aitizaz Ali; Bander Ali Saleh Al‑Rimy; Faisal S. Alsubaei*; Abdulwahab Ali Almazroi; Abdulaleem Ali Almazroi Medscape Reference+2CoLab+2University of Portsmouth+2

  • Volume/Issue/Pages: Vol 23, Issue 15, Article 6762 Scribd+3CoLab+3MDPI+3

  • DOI: 10.3390/s23156762 MDPI+12CoLab+12Scribd+12

  • Abstract (brief): Proposes HealthLock, integrating homomorphic encryption with blockchain and smart contracts to enable encrypted computations, data sharing, and immutable audit logging in IoT‑based healthcare Reddit+10PubMed+10MDPI+10.

  • Keywords: Blockchain, homomorphic encryption, IoT, healthcare, smart contracts, privacy-preservation Scribd+1PubMed+1.

2. Adversarial Resilience in Medical-AI Systems (IEEE Transactions on Information Forensics and Security, 2024)

Currently unable to find the exact paper; it may be:

  • Published online recently (Jan 2024+).

  • Under a different title not captured yet by mainstream databases.

However, the field includes works such as:

  • “Adversarial Perturbation Prediction for Real-Time Protection of Speech Privacy,” IEEE TIFS, Volume 19, January 2024 MDPI+2University of Portsmouth+2arXiv+2dl.acm.org;

  • Numerous papers on adversarial training and purification under IEEE TIFS (e.g. October 2024 special issues) .

If you can provide the DOI, full title, or lead authors, I can locate the precise reference and give full publication details.

3. GDPR‑compliant Secure Data Architectures (Computer Communications, 2022)

This also did not appear directly in our search results. But relevant works include frameworks using combined HE and distributed ledgers that align with GDPR’s privacy-by-design principles .

Key points in such architectures:

  • Privacy by Design (Art. 25 GDPR) mandates embedding privacy early and minimizing data collection. HE supports that by enabling encrypted computation at the source. Wikipedia

  • Distributed ledger integration (e.g., blockchain, audit logs) helps with compliance with data subject rights such as erasure and transparency.

  • Some qualitative assessments (e.g., Swiss hospitals) confirm that HE + ledger tech can fulfill GDPR requirements around data discovery, processing, consent, and deletion.

Conclusion 

Emanuele Raso is a promising cybersecurity researcher specializing in healthcare data privacy, making his expertise relevant for safeguarding molecular biology data and digital infrastructures. However, for a Best Researcher Award specifically in Molecular Biology, his profile may be considered peripheral rather than central, as his primary contributions lie in cybersecurity and applied cryptography, not core molecular biological research.

Emanuele Raso | Medical Devices | Best Researcher Award

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