Abhisek Banerjee | Cybersecurity | Best Researcher Award

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

 

MANISHA RAJORIYA | Software Solutions | Women Researcher Award

Ā  Ms. MANISHA RAJORIYA | Software Solutions | Women Researcher Award

šŸ‘Øā€šŸ«Profile Summary

A dedicated researcher and educator in the field of Computer Science & Engineering, currently pursuing a Ph.D. with a focus on Computer Networks and Software Defined Wireless Sensor Networks (SDWSN). With over 12 years of teaching experience, including roles as an Assistant Professor and thesis supervisor, I have contributed significantly to academia. My research interests span optimization algorithms, energy-aware scheduling, and the application of machine learning in SDWSN. Notable achievements include publications in esteemed journals and conferences, along with participation in workshops and training programs, demonstrating a commitment to continuous learning and professional development.

šŸŒ Professional Profiles

 

 

šŸŽ“Academic Qualification

Ph.D. (Pursuing) in Computer Science & Engineering, Rajasthan Technical University, Kota Specialization: Computer Networks Thesis Title: Clustering Based Distributed Controller Placement in Software Defined Wireless Sensor Networks Advisor: Dr. Chandra Prakash Gupta (2020-present) M. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2017) Specialization: Computer Science & Engineering Thesis Title: ETC Based Resource Allocation to Minimize Makespan Time in Heterogeneous Computing System Advisor: Dr. Rohitash Baniyal B. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2014)

šŸ”¬Ph.D. Research Statement

In my doctoral studies, I am working on the controller placement problem in Software Defined Wireless Sensor Networks (SDWSN). Specifically, I am utilizing the Sailfish Optimization based Controller Selection (SFO-CS) approach for selecting optimal nodes as Control Nodes (CNs) in SDWSN. This solution aims to address the challenge of selecting optimal CNs efficiently in SDWSN, considering factors such as energy consumption and computing power. Additionally, I am exploring Machine Learning (ML) based techniques to enhance the intelligence and robustness of SDWSNs, particularly focusing on Deep Learning (DL) to minimize transmission distance and energy consumption.

Ā Work Experience

  • Assistant Professor, Department of Computer Science & Engineering, R N Modi Engineering College, Kota (Rajasthan) (August 2017-September 2018)

šŸ’»Skills

  • Programming Languages: C/C++
  • Simulation Software: Mininet, MATLAB, NS3, Cooja

Ā Journal

  • Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN).” International Journal of Information Technology (2023): 1-14.
  • Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “SO-CPP: Sailfish Optimization based Controller Placement in IoT-Enabled Software-Defined Wireless Sensor Networks.” International Journal of Communication Systems (Accepted).

Conferences

Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “A Taxonomy on Distributed Controllers in Software Defined Networking.” In 5th International Conference on Computing Methodologies and Communication (2021). (pp. 120-126). Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Performance of Ryu and Pox Controllers for Software Defined Networking using Mininet Emulator.” 2nd International Conference on Recent Advances in Computational Techniques: IC-RACT 2022, AIP Conference Proceedings.

Book

  • Rajoriya, Manisha Kumari. “Resource Allocation in Heterogeneous Computing System.” LAP LAMBERT Academic Publishing, Germany (July 13, 2023). ISBN-13: 978-6206740261

šŸ“ŠResearch Area

Software Defined Networking, Wireless Sensor Network, Software Defined Wireless Sensor Network Controller Placement Problem, Optimization Algorithms, Energy Aware Scheduling

šŸ“šTop Noted Publication

Title: Sailfish Optimization-based Controller Selection (SFO-CS) for Energy-aware Multi-hop Routing in Software Defined Wireless Sensor Network (SDWSN)
Author: MKRCP Gupta
Journal: International Journal of Information Technology
Year: 2023

 

Title: A Taxonomy on Distributed Controllers in Software Defined Networking
Authors: MK Rajoriya, CP Gupta
Conference: 2021 5th International Conference on Computing Methodologies and …
Year: 2021

 

Title: SO-CPP: Sailfish Optimization-based Controller Placement in IoT-enabled Software-defined Wireless Sensor Networks
Author: MKRCP Gupta
Journal: International Journal of Communication Systems
Year: 2024

 

Title: ISFO-CS: An Improved Sailfish Optimization Algorithm for Controller Selection in SDWSN
Authors: MK Rajoriya, CP Gupta
Year: 2024

 

Title: Topology-based Controller Placement in Software Defined Network
Authors: MK Rajoriya, CP Gupta
Journal: AIP Conference Proceedings
Year: 2023

 

Title: A Preliminary Study on Cloud Computing and Its Virtualization
Author: MK Rajoriya
Journal: Advancement of Computer Technology and its Applications
Year: 2019

 

Title: Resource Allocation in Linear Programming Based on Energy and Make Span Minimization Using ETC
Authors: MK Rajoriya, RK Banyal
Conference: 2017 Second International Conference on Electrical, Computer and …
Year: 2017

 

Title: Efficient and Scalable LP Based Resource Allocation and Makespan Minimization in Heterogeneous Computing System: A Review
Authors: RKB MK Rajoriya
Conference: International Conference on Recent Advances in Computing and Communication …
Year: 2016