Swaroop Ghosh

Swaroop Ghosh is a Professor in Electrical Engineering, focusing on cutting-edge research at the intersection of Quantum Computing, Machine Learning, and Hardware Security. His work spans theoretical and applied domains, addressing challenges in quantum error correction, cybersecurity, and drug discovery.

• Research Trends: His recent publications emphasize Quantum Machine Learning (e.g., adversarial attacks, molecular modeling), Error Correction (surface codes, qubit quality optimization), and Security (cloud-based quantum systems, compiler vulnerabilities).
• Grants & Projects: He leads multiple National Science Foundation-funded initiatives, including Drug discovery using quantum machine learning and Securing Large-Scale Noisy-Intermediate Scale Quantum Computing.
• Collaborations: His projects involve cross-disciplinary partnerships with experts in physics, computer science, and cybersecurity.

Though no explicit students or awards are listed in the provided text, his prolific research output and leadership in quantum technologies underscore his significant contributions to academia and industry.