Sivaram Ponnusamy

Sivaram Ponnusamy received a PhD in Computer Science and Engineering from Anna University, Chennai, Tamilnadu, India 2017. He earned his M.E. in Computer Science and Engineering from Anna University, Chennai, India 2005. He earned an MBA in Project Management from Alagappa University, India, in 2007 and a B.E. in Electrical and Electronics Engineering from Periyar University, India, in 2002. He is a Professor at the School of Computer Science and Engineering, Sandip University, Nashik, Maharashtra, India. He has 18 years of teaching and research experience at various reputed Universities in India. He is an editor for internationally edited books on emerging technologies with IGI-Global International Academic Publishers. He conducted a Springer Nature CCIS series SCOPUS International Conference named AIBTR 2023 (Role of A.I. in Bio-Medical Translations' Research for the Health Care Industry) as editor and was published in December 2023. His research interests include Social Welfare Computer Applications Optimization, Artificial Intelligence, Mobile App Development with Android and Outsystems, and Vehicular Adhoc Networks, in which he has published over 12 Indian Patents, 20 research papers in reputed Scopus-indexed journals, international conferences, and book chapters. He received an appreciation award on 15th August 2017 from the District Collector, Thanjavur, Tamilnadu, India, for the successful design, development, and implementation of an Android App named “Meeting Management Tool” for the work done from 07th February 2017 to 07th August 2017. He acted as session chair for an international conference titled “The Second International Conference on Business, Management, Environmental, and Social Science 2022,” held at Bath Spa University, Academic Centre, RAK, UAE on 30th & 31st March 2022.

Publications

AI Tools and Applications for Women’s Safety

In an era marked by rapid technological progress, women's safety remains a pressing concern despite strides toward gender equality. Women continue to grapple with safety...

Digital Twin Technology and AI Implementations in Future-Focused Businesses

In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin...

Impact of AI on Advancing Women's Safety

Women encounter multifaceted threats, ranging from personal safety hazards to discrimination deeply embedded in societal structures. The existing landscape demands innovative...

Harnessing AI and Digital Twin Technologies in Businesses

The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the...

Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing

In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides...

Amplifying Digital Twins Through the Integration of Wireless Sensor Networks: In-Depth Exploration

Digital twin technology has emerged as a transformative paradigm in various domains, offering real-time simulations of physical systems and assets. Wireless sensor networks...

Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation

This chapter presents a pioneering strategy for the advancement of digital twin technology, leveraging the capabilities of service-oriented architecture (SOA) and cloud computing...

Synergies of Digital Twin Technology and AI: Future-Focused Innovations in Business

This chapter explores the dynamic intersection of digital twin technology and artificial intelligence (AI) within the strategic landscape of forward-thinking businesses. As...

Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)

As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative...

Crime Mapping and Hotspot Analysis: Enhancing Women's Safety Through GIS

In a time when safety is still of the highest importance, especially for vulnerable groups like women, this chapter analyzes the powerful intersection of crime mapping, hotspot...

Mobile Application-Based Women's Safety and Security System Using AI

There are many shameless residential manhandles for ladies across the world. Usually quickened due to the nonappearance of a successful following framework. This is centred on a...

Women's Care With Generalized Metabolism Analysis Report Based on Age Using Deep Learning

Women are facing different problems in different stages. The importance of comprehending women's personal and health issues is highlighted in the opening section. Women are...

AI-Based Advanced Surveillance Approach for Women's Safety

This chapter explores the role of information technology in enhancing women's safety, encompassing mobile apps, GPS tracking, and social media. It also introduces a proposed...

AI-Enhanced Optimization Algorithm for Body Area Networks in Intelligent Wearable Patches for Elderly Women's Safety

IoT-enabled sensor nodes gather real-time data and employ machine learning techniques to enable remote monitoring and rapid response. To overcome these challenges, the proposed...

Challenges and Opportunities in Implementing AI-Driven Surveillance for Women's Wellbeing

This research explores the difficulties and positive aspects of using AI-driven surveillance to improve women's wellbeing. The authors delve into the challenges, such as...

Exploring the Role of AI in Overcoming Women's Sexual and Reproductive Wellbeing Barriers

This chapter aims to explore the feasibility of applying AI to help resolve issues stemming from the sociolegal realities of pregnant persons in India, by first examining the...

Minds at Ease: A Machine Learning Approach to Women's Mental Wellness in the Professional Arena

Depression, stress, anxiety, or other mental illnesses are crucial problems today in this society. Because of these problems, anybody can lose interest in general routine...

Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications

Computer application systems are helpful for society to turn into a digital era of computing and interaction made more accessible and consistent. Further study in this field is...

Advanced Method of MOB-I App Used for Medical and Agriculture

Over the past few years India has a significant rise in mobile applications. The development of apps for remote work, education, and healthcare has dramatically increased....

Detection of Damage in Composite Materials Using Hybrid Fuzzy Logic Technique in Aerospace

In the past two decades, the use of various materials for various structural and mechanical aspects has become increasingly important. Scientists in today's high-tech world...