• Currently, working as ‘Associate Professor’ at P R Pote Patil College of Engg & Mngmt Amravati (MH), India.
• Deputed as Controller of Examination (CoE), at ‘P R Pote Patil College of Engg & Mngmt Amravati (MH)’, India.
• Served as ‘Associate Professor & Dean Academics’ at G H Raisoni University Amravati.
• Done Doctorate of Philosophy (PhD) in Computer Science & Engineering in April 2019.
• ‘University Topper in Master of Engineering (ME)’ in Computer Sci. & Engineering(S-2010).
• Received ‘Outstanding Academician Award-2020’ at INFES 2020 on 29th Dec 2020.
• Recognized as ‘Fellow member of Royal Golden Assembly of Eudoxia Lifetime (FRAEL), India (Aug 2023).
• International Innovation Program Mentor, ID: ERC/IIP/M/05/2021/10.
• Fellow Membership (LM) from Eudoxia Research University, USA (ERU/FMERU/2022-1008).
• SPOC at GHRU Amravati for all the Certification Courses under NSQF scheme of UGC, india.
• Worked as HOD, Computer Sci. & Engineering Department for more
AI-based soil quality monitoring and improvement techniques predicting and mitigating soil erosion and degradation Ajay B. Gadicha, Vijay B. Gadicha, Mohammad Moin Maniyar Precision and Intelligence in Agriculture Advanced Technologies for Sustainable Farming, 2025 Soil health remains a cornerstone of sustainable agriculture and food production, yet it faces mounting challenges from nutrient depletion, erosion, and degradation, often driven by unsustainable farming practices, climate change, and over-reliance on chemical inputs. The emergence of artificial intelligence (AI) in agriculture has introduced a transformative solution to these issues by enabling highly accurate soil quality assessments and predictive capabilities that aid in the conservation and improvement of soil health. This chapter explores the application of AI-based techniques in soil monitoring and improvement, focusing on how they predict, detect, and mitigate soil erosion and degradation to ensure long-term soil fertility and agricultural productivity.
A Review Towards the Changing Landscape of Financial Institutions by Using Blockchain Technology V. B. Gadicha, R. A. Kapdiya EPJ Web of Conferences, 2025 Modern age banking systems has the utilities of the digital world but having said that, it also suffered from its challenges & limitations. Basically, the structure of today’s banking system is driven by traditional client-server interactions, here system became heavily dependent upon central servers and it’s concerning information. The challenges like KYC compliance, fraud detection, manipulation of records and many more are the prime concerns to address in present banking systems. Here Blockchain Technology plays a vital role to overcome the limitations of existing banking systems and provide revolutionized changes in traditional banking systems. This paper based on various Blockchain Technology utilities which can provide a safer & easier prospective to the future banking landscape.
Talking to AI-driven project management: Practical strategies for prompt engineering and ethical integration Ajay B. Gadicha, Vijay B. Gadicha, Mohammad Moin Maniyar, Mayur S. Burange, Zeeshan I Khan Project Management Information Systems Empowering Decision Making and Execution, 2025 The integration of Artificial Intelligence (AI) and Natural Language Processing (NLP) into project management has transformed how professionals approach planning, execution, and decision-making. Among these advancements, Large Language Models (LLMs) such as ChatGPT have emerged as powerful tools, enabling project managers to streamline workflows, improve collaboration, and derive actionable insights. This chapter, “Talking to AI: Prompt Engineering for Project Managers,” focuses on the critical skill of prompt engineering, which involves crafting precise, context-aware instructions to optimize the value of AI-generated outputs. Effective prompt engineering bridges the gap between human intent and AI capabilities, ensuring that responses are relevant, actionable, and aligned with project objectives. The chapter highlights how poorly structured prompts can lead to generic or irrelevant outputs, while well-designed queries can address key project needs, such as generating schedules, identifying risks, and automating stakeholder reports
Revolutionizing Security Information and Event Management (SIEM) systems: Harnessing deep learning for advanced threat detection Vijay B. Gadicha, Ajay B. Gadicha, Mohammad Zuhair, Zeeshan I. Khan, Mayur S. Burange Project Management Information Systems Empowering Decision Making and Execution, 2025 This chapter explores various deep learning methods for enhancing Security Information and Event Management (SIEM) systems. As cyber threats become increasingly sophisticated, traditional SIEM approaches often fall short in efficiently processing and analyzing vast amounts of security data. We investigate the application of deep learning techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders, to improve threat detection, anomaly detection, and incident response capabilities. CNNs are leveraged for feature extraction from complex datasets, enabling the identification of intricate patterns in security events. RNNs are utilized for sequential data analysis, effectively capturing temporal dependencies in attack vectors.
Leveraging blockchain and AI for sustainable development Ajay B. Gadicha, Vijay B. Gadicha, Mayur S. Burange, Zeeshan I. Khan Driving Socio Economic Growth with AI and Blockchain, 2025 The convergence of Blockchain and Artificial Intelligence (AI) holds transformative potential for advancing sustainable development across various sectors. Blockchain's decentralized and immutable ledger ensures transparency, accountability, and secure data management, addressing key challenges in governance, supply chain monitoring, and resource distribution. AI, with its advanced analytics and predictive capabilities, complements blockchain by enabling data-driven decision-making and optimization of processes. Together, these technologies can foster innovative solutions in areas such as renewable energy management, precision agriculture, financial inclusion, and climate action. This paper explores the synergies between Blockchain and AI, highlighting their applications in achieving the United Nations' Sustainable Development Goals (SDGs).
Advance internet safety through artificial intelligence and blockchain Ajay B. Gadicha, Vijay B. Gadicha, Moin Shabbir Maniyar, Roshan R. Bhure Driving Socio Economic Growth with AI and Blockchain, 2025 The digital landscape continues to evolve; ensuring robust internet safety has become a critical challenge in the face of growing cyber threats. This chapter delves into the transformative potential of artificial intelligence (AI) and blockchain technology in reinforcing cybersecurity measures. AI's ability to analyze large-scale data, identify patterns, and predict potential vulnerabilities makes it an invaluable tool in enhancing security protocols. When combined with blockchain's decentralized and immutable nature, which secures data by providing an incorruptible ledger, these technologies collectively offer an advanced framework for real-time threat detection and mitigation. The chapter explores several key applications, including decentralized identity management, cyber fraud detection, and privacy protection, illustrating how the fusion of AI and blockchain can help address significant security concerns such as data breaches, identity theft, and unauthorized access. However, the integration of AI and blockchain into cybersecurity systems is not without challenges. Issues such as scalability, energy efficiency, and the technical complexity of merging these technologies in practical settings remain obstacles. Despite these hurdles, significant advancements in blockchain protocols, such as sharding and AI-based optimization algorithms, show promise in overcoming these limitations through case studies and recent developments; this chapter demonstrates how AI and blockchain can work together to create a more secure, resilient, and transparent digital environment. This chapter is merely focused on the various technology aspects to secure date through various AI and blockchain techniques.
Unveiling the Potential of IoT and IIoT Industrial Technologies in Cybersecurity: Trends, Applications, and Future Prospective Ajay B. Gadicha, Vijay B. Gadicha Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses, 2025 In today's rapidly evolving technological landscape, the Internet of Things and Industrial Internet of Things have emerged as pivotal forces driving innovation and efficiency across various industries over network. These interconnected technologies have revolutionized the way organizations operate, offering unprecedented opportunities to optimize processes, enhance productivity, and unlock new business models. As we delve deeper into the intricate web of IoT and IIoT, it becomes evident that their potential is limitless, with far-reaching implications for the future of industries worldwide. In this chapter, we will explore the transformative power of IoT and IIoT technologies in e-governance, industry perspective on their diverse applications and unveiling the profound impact they have on empowering industries.
Adversarial AI in Cyber Security Ajay B. Gadicha, Vijay B. Gadicha, Mohammad Moin Maniyar Deep Learning Innovations for Securing Critical Infrastructures, 2025
Cloud-Based AI Security Solution Ajay B. Gadicha, Mohammad Moin Maniyar, Vijay B. Gadicha, Mayur S. Burange Deep Learning Innovations for Securing Critical Infrastructures, 2025
MFAAMDTL: An Efficient Multimodal Feature Analysis Model to Mitigation Cloud Attacks using Transfer Learning Operations International Journal of Intelligent Systems and Applications in Engineering, 2024
Enhancing Authentication Security Against MITM Attacks Through Bioinspired Identity Management & Blockchain-Enhanced Protocols International Journal of Intelligent Systems and Applications in Engineering, 2024
