Bhaskar Ghosh
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Researcher
Also affiliated: University of Calcutta (1984–2023); Sundaram Medical Foundation (2007); Infosys (India) (2000–2002); LinkedIn (United States) (2011–2013); Oracle (United States) (2004); National Institute of Technology Durgapur (2018); Presidency University (2020); Government Medical College (2023–2024); West Bengal University of Health Sciences (2019); KPC Medical College and Hospital (2003–2024); Liverpool Hospital (2011); Bankura University (2012–2013); Government ENT Hospital (2016); South Eastern Railway (2004–2018); Yale University (1994–2003); Centre for Interdisciplinary Research and Education (2002–2006); Government Medical College and Hospital (2022–2024); Global College (2024); Institute of Post Graduate Medical Education and Research (2017); Indian Jute Industries Research Association (1962–2000); Creative Commons (2024); Institute of Entomology (2016); Southern Arkansas University Tech (2024); IDELIX Software (Canada) (1996–1999); Nethradhama Superspeciality Eye Hospital (2024); National Allergy Asthma Bronchitis Institute (2023); West Heath Hospital (2015); Jogamaya Devi College (2013–2023); Jai Narain Vyas University (2020); All India Institute of Medical Sciences (2023); Medical College and Hospital, Kolkata (2002–2017); Central Mechanical Engineering Research Institute (2013–2020); University of Louisiana at Lafayette (2019–2022)
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Bhaskar Ghosh's research spans multiple domains, including the development and analysis of cryptographic techniques, the synthesis of nanoparticles for medical applications, and the study of clay mineralogy. In the field of cryptography, his work has focused on methods for reducing isomorphic ciphers, modeling polymorphic ciphers, and evaluating cryptographic key space size. He has also investigated the use of collision attacks for breaking cryptographic modes.
Ghosh has also contributed to materials science and its medical applications through the sustainable synthesis of chromium oxide (Cr2O3) nanoparticles using plant extracts. This research has explored their potential for lung cancer treatment. Additionally, his work includes an overview of clay minerals, detailing their composition, classification, internal structure, and properties.
With a career marked by extensive publication, Ghosh has an h-index of 21 and has authored over 131 publications, accumulating more than 1,500 citations. He has collaborated with several colleagues at Arkansas Tech University, including Indira Kalyan Dutta, Edidiong Elijah Akpan, Parker Padgett, and Timothy Cary Johnson, with whom he has co-authored multiple publications.
Metrics
- h-index: 21
- Publications: 131
- Citations: 1,584
Selected Publications
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PyroScan: Wildfire Behavior Prediction System using Unmanned Aerial Vehicles (UAV) (2024)
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Techniques to Detect Fake Profiles on Social Media Using the New Age Algorithms - A Survey (2024)
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A Demonstrable Break of PCBC Mode (2023)
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Using the Collision Attack for Breaking Cryptographic Modes (2022)
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The Problem with Regular Multiple Byte Block Boundaries in Encryption (2022)
Collaboration Network
Top Collaborators
- Techniques to Detect Fake Profiles on Social Media Using the New Age Algorithms - A Survey
- Using the Collision Attack for Breaking Cryptographic Modes
- A Demonstrable Break of PCBC Mode
- The Problem with Regular Multiple Byte Block Boundaries in Encryption
- Using the Collision Attack for Breaking Cryptographic Modes
- A Demonstrable Break of PCBC Mode
- The Problem with Regular Multiple Byte Block Boundaries in Encryption
- The Problem with Regular Multiple Byte Block Boundaries in Encryption
- Techniques to Detect Fake Profiles on Social Media Using the New Age Algorithms - A Survey
- Techniques to Detect Fake Profiles on Social Media Using the New Age Algorithms - A Survey
- PyroScan: Wildfire Behavior Prediction System using Unmanned Aerial Vehicles (UAV)
- PyroScan: Wildfire Behavior Prediction System using Unmanned Aerial Vehicles (UAV)
- PyroScan: Wildfire Behavior Prediction System using Unmanned Aerial Vehicles (UAV)
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