Abhisek Banerjee | Cybersecurity | Best Researcher Award

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Mr. Abhisek Banerjee | Cybersecurity | Best Researcher Award

Mr at Indian Institute of Information Technology India

Abhisek Banerjee is a Lead Technical Architect with over 19 years of IT experience, specializing in AI, Cloud Security, Digital Transformation, and Application Integration. He is currently a PhD scholar at the Indian Institute of Information Technology, Kalyani, focusing on Gen AI-based security solutions. With deep expertise in cloud platforms (Oracle Cloud, AWS, Azure), he has led numerous enterprise-level digital transformation projects, integrating cutting-edge technologies like Langchain, Hugging Face, TensorFlow, and Keras to drive business innovation. His work emphasizes enhancing operational efficiency, securing data, and mitigating security vulnerabilities in multi-cloud environments.

Profile

Scopus

 

Education šŸŽ“

PhD (Pursuing) ā€“ Indian Institute of Information Technology, Kalyani, India. ME (IT – Software Engineering) ā€“ Jadavpur University, 2005, 81.6%. BTech (Electronics & Telecom Engineering) ā€“ University of Kalyani, 2003, 81.4%. Higher Secondary (12th) ā€“ R.K.M.V.C.College, Rahara [WBBHSC], 1999, 85%.; Secondary (10th) ā€“ R.K.M. Boysā€™ Home High School, Rahara [WBBSE], 1997, 90.3%

Experience šŸ§‘ā€šŸ«

With over 19 years of experience, Abhisek Banerjee has handled large-scale digital transformation initiatives, focusing on multi-cloud environments (Oracle Cloud, AWS, Azure). He has led projects in application modernization, data integration, and cloud security, architecting solutions using cutting-edge technologies such as Langchain, Hugging Face, TensorFlow, and Keras. He has engineered seamless data integration frameworks, API-led connectivity, and cloud-native security solutions, ensuring compliance and data protection. Additionally, Abhisek has worked on the design of microservices, DevOps automation, and advanced machine learning models for cloud security. His contributions include deploying robust data privacy measures and threat detection frameworks across cloud platforms.

Awards and Honors šŸ†

Research Excellence Award (GEU, DDN) in 2015 for outstanding research contributions. Early Career Research Award from the Science and Engineering Research Board (SERB), 2017. DST Travel Grant (2012) to attend an international conference in Pittsburgh, USA. Best Paper Presentation Award at TriboIndia-2023 Conference, NIT Srinagar. GUCOST and DTE Funding for workshops on cloud technologies and security. Membership in the International Association of Advanced Materials (IAAM) for five years.

Research Focus šŸ”

Abhisek’s research focuses on cloud security vulnerabilities, with a specific interest in the detection and remediation of covert malware attacks using machine learning and deep learning techniques. His work integrates Generative AI, CNN, Vision Transformer, and GAN models to address threats like steganography-based backdoor attacks in cloud environments. By utilizing Computer Vision techniques and AI-driven models, he aims to develop intelligent security solutions that can proactively identify and neutralize security threats. Abhisek’s current projects involve training custom AI models for threat detection and deploying them within multi-cloud architectures to ensure data integrity and privacy. His research has the potential to revolutionize cybersecurity strategies in cloud and IoT ecosystems.

Conclusion āœ…

This individual demonstrates significant research excellence, particularly in Metallurgical & Materials Engineering, with notable contributions recognized by both national and international bodies. Their impressive list of awards, research experience, and funding achievements make them a strong contender for the Best Researcher Award. By expanding their research collaborations, improving visibility in high-impact journals, and engaging more publicly in research discourse, they can further enhance their profile and continue making substantial contributions to their field.

Publications šŸ“š

  • “A Study on Multivariable Process Control Using Message Passing Across Embedded Controllers”
    • Journal: ISA Transactions
    • Volume: 46(2), Pages 247ā€“253
    • Year: 2007
    • Authors: Das, M.; Banerjee, A.; Ghosh, R.; Chandra, A.K.; Gupta, A.
    • Citations: 6

 

  • “A Study on Hardware-in-Loop Simulation with Embedded Controllers Using TCP/IP and UDP”
    • Conference: 3rd International Conference on Computing, Communications and Control Technologies (CCCT 2005)
    • Volume: 3, Pages 103ā€“108
    • Year: 2005
    • Authors: Banerjee, A.; Das, M.; Ghosh, R.; Balasubramanian, R.; Gupta, A.
    • Citations: 1