Professor of Finance and academic leader with 8 years of international experience across Asia, Africa, Europe, and global online universities. PhD-qualified with 35+ peer-reviewed publications (11 Scopus-indexed), contributing to citation impact, research visibility, and academic reputation, with research interests in financial markets, corporate governance, risk management, and microfinance. Experienced doctoral thesis reviewer, adjudicator, and journal referee, reinforcing academic rigor, research quality, and integrity within internationally accredited institutions. Experienced in delivering internationalized, outcome-based UG/PG curricula aligned with employer relevance and industry engagement, supported by prior roles at HSBC and Genpact. Focused on research excellence, international outlook, and institutional performance enhancement across Asia.
EDUCATION
Doctorate
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Business, Management and Accounting, Finance, Economics, Econometrics and Finance
13
Scopus Publications
315
Scholar Citations
14
Scholar h-index
14
Scholar i10-index
Scopus Publications
Blockchain and machine learning for fraud detection in e-commerce transactions P. Radhakrishnan, M. Muthukumaresan, K. Visala, B. Sambath Kumar, V. K. Ajay, B. Raja Mannar Connecting Intelligence Trends in Computation and Data Communication, 2026 The research suggests employing algorithms based on machine learning (ML) in conjunction with blockchain technology and smart contracts for detecting fraud in e-commerce. Blockchain technology is used to simplify the process and protect the privacy of information. Cooperative data from blockchain-connected enterprises is used to gradually improve a ML framework. According to the degree of complexity in modifying the model, a reward system is provided to incentivize companies. An effective mining criteria for blocks is suggested. To evaluate its effectiveness, the blockchain system is put through a series of tests with varying degrees of complexity and data quantities. The model’s total Fbeta score was 98.22% and its evaluation correctness was 98.93% across eight progressive upgrades. The study demonstrates that mining time is influenced by both the amount of information collected as well as the level of blockchain complexity. There is a positive association between mining time and challenge level for ranges of difficulty below five. A block in the network may be mined in less than a second for challenging levels 2 and 3.
An In-Depth Analysis of Cybersecurity Risks, Threat Propagation, and Systemic Vulnerabilities in Highly Interconnected Digital Ecosystems Norman Ignatius Dias, Dharam Vir, Santosh Kumar, Kawerinder Singh Sidhu, Dilora Abdurakhimova, B. Raja Mannar Resilient Privacy Preserving Mechanisms for Digital Identity Management, 2026 Important services are now based on highly interconnected digital ecosystems that have a weak cybersecurity stance because of hidden dependencies, fast propagation of threats, and slow detection across cyber physical boundaries. Traditional security testing, where the threat is evaluated separately or in the state of rest, is not particularly good at justifying how small scaled attacks frequently turn into massive functional breakdowns. The deficiency here is due to the fact that the existing risk models have mostly ignored interdependency and temporal dynamics which often promote the spread and amplification of attacks when spread across a heterogeneous system. To counter this weakness, this chapter presents a framework of systemic, propagation-aware cyberspace security analysis, based on the ecosystem-level modeling, dependency-weighted risk measurement, dynamic threat diffusion, and resilience measurement in a single approach. The suggested strategy has a well-defined connection between structural position, dependency strength, and time of response to emergent risk.
AI and DL in Education Teaching Automotive Safety Skills Vijaykumar Arvindbhai Radadiya, Shardul Singh Chauhan, B. Raja Mannar, R. D. Gomathi, Inomiddin Imomov, Vishal Kishorchandra Pandya AI S Role in Enhanced Automotive Safety, 2025 The integration of Artificial Intelligence (AI) and Deep Learning (DL) in education has seen remarkable advancements, particularly in specialized fields like automotive safety skills. One of the most promising approaches is the use of Reinforcement Learning (RL), a cutting-edge DL technique that has revolutionized interactive learning systems. In automotive safety education, RL can simulate real-world driving scenarios, allowing students to practice critical safety responses without real-life risks. The system learns from the student's actions, providing instant feedback and gradually increasing the complexity of the scenarios to enhance skills such as emergency braking, collision avoidance, and safe maneuvering under adverse conditions. The combination of RL with tools like Unity ML-Agents, which provides a powerful platform for building simulations, creates a highly immersive and effective educational environment.
AI- Based Economic Models for Evaluating Vehicle Safety Costs and Benefits S. Surya, N. S. Bala Nimoshini Supraja, S. Prince Chelladurai, B. Raja Mannar, Navruzbek Shavkatov, Kuldeep Chouhan AI S Role in Enhanced Automotive Safety, 2025 This research focuses on artificial intelligent efficient models for the analysis of risks and asset values of vehicles applying globalization, feature reduction, and time series methods. The research concerns the increasing pressure to evaluate economic effects of protective features in a constantly changing car environment. Normalization normalizes disparate data, creating a common framework on which to evaluate cost and benefit variables. Defined subspaces eliminate noise and unnecessary data by outlining the strength of predominant features thus enabling a reduction of computational load and data models. The countless models of time series look at the past and present data to provide future long-standing trends in safety paying as well as the economic consequences. The given framework provides a clear understanding of evaluating the cost-effectiveness of the proposed measures, including the rates of accident reduction, insurance cost, and the costs of adoptive technologies.
ML Tools for Safety in Automotive Financial Risk Management Shardul Singh Chauhan, S. Hariprasad, B. Raja Mannar, Vipul Punjabi, Sultonali Mekhmonov, M. Gurusamy AI S Role in Enhanced Automotive Safety, 2025 In the rapidly evolving field of automotive finance, managing risk is crucial for maintaining financial stability and security. Machine Learning (ML) tools have demonstrated significant potential in enhancing the predictive capabilities of risk management models, enabling more accurate forecasting, real-time monitoring, and mitigation strategies. This study explores the application of an advanced ML method, specifically the Deep Neural Networks (DNN), in predicting and managing financial risks in the automotive industry. The DNN, with its ability to handle complex, non-linear relationships and large datasets, is integrated with Automotive Risk Management Software (ARMS), an advanced tool designed for dynamic financial assessment. By leveraging these tools, automotive finance institutions can gain deep insights into market trends, customer behavior, and financial risks, which helps in optimizing decisions related to credit scoring, loan defaults, and asset depreciation.
Detailed Investigation of Digital Transformational Strategies to Enhance Business Productivity M. Sangeetha, Richa Gupta, Karnati Saketh Reddy, Ch. Sudipta Kishore Nanda, B. Raja Mannar, Geetha Manoharan, Ivanenko Liudmyla Recent Advances in Management and Engineering, 2024 The need for greater research on digital transformation has become apparent, and scholars are actively interested in continuing to do so. People had to overcome many obstacles at first to grow and improve the digitisation process, but as time went on, the business and management completely depended on it. The report’s primary goal is to examine and evaluate the key results and the effects of the digital transformational plan on the business’s productivity rate. There are basically two main objectives of this research, first is to identify the current state of digital transformation across organisations and second is to analyse various crucial aspects of digital transformation to enhance business productivity. In terms of research methodology, a multi-method approach has been adopted. Primary data were collected from surveys and secondary data were collected from previous studies. By evaluating various aspects of digital transformation, the research study has provided a comprehensive understanding of effective strategies and practices for organisations to maximise productivity in this digital era. Whereas findings have provided practical guidance to improve digital transformation journey.
Explainable AI Technology in E-CPS: Policy Design, Economic Research, and Case Studies Thangaraja Arumugam, Saritha Bantu, Yeligeti Raju, Renuka Deshmukh, B. Raja Mannar Cyber Physical Energy Systems, 2024 How the power source is operated has a big impact on its effectiveness. Information gathered from operational or prediction procedures must be used effectively to determine the best operating plan. Meanwhile, in some borderline situations, information processing that is not reliant on a physical explanation may fall short of explaining. As a result, it is critical, and it has received increasing attention in its potential implementation, to use “E-CPS” to integrate information retrieval and physical models to create a more precise and effective system and a timeframe framework. To simulate complex power sources, the research suggests a generic method for creating “E-CPS.” The structure's power system wastes sustainable energy to generate, which is reduced by 71% thanks to the “E-CPS,” whilst the volume of power purchased is reduced by 56%. Ultimately, it is determined to be practicable and efficient to construct an “E-CPS” using clever algorithm-oriented data mining in conjunction with physical modelling.
Bankruptcy Prediction using Emperor Penguin Optimizer with Deep Learning Model on Qualitative Dataset Vijay Abrol, Priyanka Singh, R Subhashini, A.Sasi Kumar, Kamlesh Singh, B. Raja Mannar Proceedings 5th International Conference on Smart Systems and Inventive Technology Icssit 2023, 2023 Bankruptcy prediction and credit risk study are amongstthe most important problems in the domain of financial and accounting decision making. Evolving an effectual Classification Rule Induction (CRD) structure for bankruptcy prediction and credit risk examination at suitable time is vital to avoid the business communities being bankrupt. Classical statistical approaches and Artificial Intelligence (AD) play an important role in bankruptcy prediction and credit risks. Most previous research works can be executed on quantitative approaches but some studies are presented on qualitative approaches for improvising the efficiency of bankruptcy prediction techniques. This study focuses on the development of Bankruptcy Prediction using Emperor Penguin optimizer with Deep Learning (BP-EPODL) model on Qualitative Dataset. The projected BP-EPODL technique identifies the existence of bankruptcy or not. Here, the BP-EPODL technique exploits EPO algorithm for the choice of optimum features. For bankruptcy prediction, the BP-EPODL technique applies Long Short Term Memory (LS TM) model. At last, Adam optimizer is applied as a hyperparameter tuning technique for the IS TM model. The experimental validation of the BP-EPODL technique is tested on benchmark qualitative dataset. The obtained values inferred that the BP-EPODLtechnique has shown effectual results over other models.
An Investigation of IOT-Based Consumer Analytics to Assist Consumer Engagement Strategies in Evolving Markets Sujay Mugaloremutt Jayadeva, Nagendra Prasad Krishnam, B. Raja Mannar, Amar Prakash Dabral, Dharam Buddhi, Neha Garg 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2023, 2023 In order to establish sustainable operations, Internet innovation has been widely adopted in the retail sector; however, certain operational difficulties, such as security and confidentiality have been uncovered in practise. As a result, linked fields must do more thorough theoretical study. In order to compete with online merchants and promote sustainable growth, this study examines how traditional brick and mortar stores might use IoT technology. First, by taking into account the costs of customer inconvenience associated with shopping through various retail partners and the influence of Technology, pricing Plans were created for the store and the retailer of concrete blocks, respectively. Furthermore, by contrasting different scenarios, the benefits of internet to retail shops and consumer excess are analysed. After that, the basic models were expanded to take into account consumer - perceived sensitivity regarding IoT technology and price competitiveness in order to test the robustness of the analytical conclusions. Additionally, actual data-based numerical analyses are performed.
An investigation of the effects of the global epidemic on Crypto Currency returns and volatility Shiva Johri, Kawerinder Singh Sidhu, A. Jafersadhiq, B. Raja Mannar, Anita Gehlot, Himanshu Rai Goyal 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2023, 2023 In order to establish sustainable operations, Internet innovation has been widely adopted in the retail sector; however, certain operational difficulties, such as security and confidentiality have been uncovered in practice. As a result, linked fields must do more thorough theoretical study. In order to compete with online merchants and promote sustainable growth, this study examines how traditional brick and mortar stores might use IoT technology. First, by taking into account the costs of customer inconvenience associated with shopping through various retail partners and the influence of Technology, pricing Plans were created for the store and the retailer of concrete blocks, respectively. Furthermore, by contrasting different scenarios, the benefits of internet to retail shops and consumer excess are analysed. After that, the basic models were expanded to take into account consumer - perceived sensitivity regarding IoT technology and price competitiveness in order to test the robustness of the analytical conclusions. Additionally, actual data-based numerical analyses are performed. Smart metres, electric vehicles, rooftop solar photovoltaic panels, smart air conditioners, electric heating systems, and architectural usage of green protons and methyl in manufacturing applications, as well as control systems are all examples of how this decarbonization plan is now being implemented. This paper includes the details analysis of the adoption of this analytics software in the electricity system and associated connected sectors can have a favourable influence on numerous of the 17 sustainability agenda listed by the Unesco Institute of Economic Affairs.
Blockchain and machine learning for fraud detection in e-commerce transactions VKA B. Raja Mannar, P. Radhakrishnan, M. Muthukumaresan, K. Visala, B ... Connecting Intelligence Trends in Computation and Data Communication, 874 , 2026 2026
Community-Based Cultural Tourism Development Strategies: A Case Study of Don Wai Floating Market, Sampran District, Nakhon Pathom Province PL Raja Mannar Badur, Thanawan Thobmat, Jirattana Kreewong Journal of Integration Social Sciences and Development 5 (1), 214-224 , 2025 2025
A Green Marketing and Its Implications for Business Performance and Reputation, Case of Adama Special Zone ,Oromia Regional State, Ethiopia MR Girma Negussie Hurrisa International Journal of Leadership and Public Sector Reform 2 (1), 29-42 , 2024 2024
Explainable AI Technology in E-CPS: Policy Design, Economic Research, and Case Studies RD B.Raja Mannar,Thangaraja Arumugam, Saritha Bantu, Yeligeti Raju Cyber Physical Energy Systems , 2024 2024
Detailed Investigation of Digital Transformational Strategies to Enhance Business Productivity IL Raja Mannar. B, Sangeetha.M, Richa Gupta, Karnati Saketh Reddy, Ch ... Recent Advances in Management and Engineering Proceedings of Recent Advances … , 2024 2024 Citations: 6
A Systematic Study for Model Management Education toward Problem Based Learning in West Africa VP BR Mannar, KK Sahoo Higher Education - Reflections From the Field [Working Title] Dr. Lee Waller … , 2023 2023
Fostering Faculty and Student Engagement through Digitalization in Higher Education Sector before and after COVID-19 Y Singh, S Phoolka, RM Badur, KK Sahoo Europe PMC , 2022 2022 Citations: 1
DWCRA: An Explanatory Study in Chittoor District, Andhra Pradesh RM Badur, KK Sahoo, Hurrisa, Girma Negussie, Vaibhav Academy of Accounting and Financial Studies Journal ((Print ISSN: 1096-3685 … , 2021 2021
Microfinance: Indian Context: Bibliography of Unclassified Literature MDMI Raja Mannar, B, KK Sahoo Academy of Accounting and Financial Studies Journal (Print ISSN: 1096-3685 … , 2021 2021
Medium, Small and Micro Enterprises: The Indian Perspective BR Mannar Journal of Alternative Perspectives in the Social Sciences 9 (2), 710-728 , 2019 2019 Citations: 29
Financial Crisis in Germany: A Sneak Peek B Raja Mannar International Journal of Research in Economics and Social Sciences (IJRESS … , 2019 2019 Citations: 18
Correlation Studies of Foreign Institutional Investor and Nifty of the past decade BR Mannar International Journal of Multidisciplinary Approach and Studies 5 (4), 42-61 , 2018 2018
Correlation of FDI with GDP, SENSEX and Nifty BR Mannar International Journal of Recent Advances in Multidisciplinary Research 5 (05 … , 2018 2018 Citations: 22
Corporate Governance and Corporate Social Responsibility: The Indian Context B Raja Mannar International Research Journal of Commerce, Arts and Science 9 (1), 161-175 , 2018 2018 Citations: 19
The Global Financial Crisis and its effects on the Netherlands B Raja Mannar International Journal of Management and Social Science Research Review 1 (43 … , 2018 2018
The financial crisis in Sweden: The causes, consequences and recovery B Raja Mannar Saudi Journal of Business and Management Studies 2 (11), 1031-1035 , 2017 2017 Citations: 23
Effect of Foreign Institutional Investor on Stock Market: Bibliography of Unclassified Literature RM Badur Asian Journal of Research(Osaka, Japan) 9 (9), 3-42 , 2017 2017 Citations: 26
Challenges of Thai L2 Students Learning Business Courses: Implications to Content-Based Teaching Pedagogy RM Badur, Rosario Cano Garcia, Janet Casta Available at SSRN 3031710, 1-13 , 2017 2017 Citations: 27
Micro Pensions: Present Indian Scenario R Mannar. B International Journal of Marketing, Financial Services & Management Research … , 2016 2016
Corporate Governance: Bibliography of Unclassified Literature BR Mannar International Journal of Applied Research 2 (4), 484-496 , 2016 2016 Citations: 26
MOST CITED SCHOLAR PUBLICATIONS
Medium, Small and Micro Enterprises: The Indian Perspective BR Mannar Journal of Alternative Perspectives in the Social Sciences 9 (2), 710-728 , 2019 2019 Citations: 29
Challenges of Thai L2 Students Learning Business Courses: Implications to Content-Based Teaching Pedagogy RM Badur, Rosario Cano Garcia, Janet Casta Available at SSRN 3031710, 1-13 , 2017 2017 Citations: 27
Effect of Foreign Institutional Investor on Stock Market: Bibliography of Unclassified Literature RM Badur Asian Journal of Research(Osaka, Japan) 9 (9), 3-42 , 2017 2017 Citations: 26
Corporate Governance: Bibliography of Unclassified Literature BR Mannar International Journal of Applied Research 2 (4), 484-496 , 2016 2016 Citations: 26
Review and Performance of Select Mutual Funds Operated by Private Sector Banks: Axis Equity and Kotak 50 Funds-Growth Option BR Mannar, BR Reddy International Journal of Innovative Research and Development 1 (8), 323-333 , 2012 2012 Citations: 25
The financial crisis in Sweden: The causes, consequences and recovery B Raja Mannar Saudi Journal of Business and Management Studies 2 (11), 1031-1035 , 2017 2017 Citations: 23
Correlation of FDI with GDP, SENSEX and Nifty BR Mannar International Journal of Recent Advances in Multidisciplinary Research 5 (05 … , 2018 2018 Citations: 22
The Indian Market Scenario of Insurance Sector BR Mannar Asia Pacific Journal of Research 1 (XXV), 88-98 , 2015 2015 Citations: 22
Analysis of Insight of Investors towards Mutual Funds RB Mannar, RCB Reddy Rijbfa 2 (2) , 2013 2013 Citations: 22
Performance Evaluation of Some Select Equity Funds Floated by Private Sector Banks B Raja Mannar, B Ramachandra Reddy International Journal of Research in Commerce & Management 3 (10), 113-117 , 2012 2012 Citations: 21
Corporate Governance and Corporate Social Responsibility: The Indian Context B Raja Mannar International Research Journal of Commerce, Arts and Science 9 (1), 161-175 , 2018 2018 Citations: 19
Financial Crisis in Germany: A Sneak Peek B Raja Mannar International Journal of Research in Economics and Social Sciences (IJRESS … , 2019 2019 Citations: 18
Comparison and Performance Evaluation of IDFC mutual funds: Premier Sector Equity Plan a & Strategic Sector 50–50 Plan A (Growth option) R Mannar. B, P Subramanyam ZENITH International Journal of Business Economics & Management Research 3 … , 2013 2013 Citations: 14
Overview and Performance of select HDFC Mutual Funds: Equity Fund and Growth Fund–Growth option BR Mannar, BR Reddy Asian Journal of Research in Banking and Finance 3 (1), 88-103 , 2013 2013 Citations: 14
Detailed Investigation of Digital Transformational Strategies to Enhance Business Productivity IL Raja Mannar. B, Sangeetha.M, Richa Gupta, Karnati Saketh Reddy, Ch ... Recent Advances in Management and Engineering Proceedings of Recent Advances … , 2024 2024 Citations: 6
Fostering Faculty and Student Engagement through Digitalization in Higher Education Sector before and after COVID-19 Y Singh, S Phoolka, RM Badur, KK Sahoo Europe PMC , 2022 2022 Citations: 1
Blockchain and machine learning for fraud detection in e-commerce transactions VKA B. Raja Mannar, P. Radhakrishnan, M. Muthukumaresan, K. Visala, B ... Connecting Intelligence Trends in Computation and Data Communication, 874 , 2026 2026
Community-Based Cultural Tourism Development Strategies: A Case Study of Don Wai Floating Market, Sampran District, Nakhon Pathom Province PL Raja Mannar Badur, Thanawan Thobmat, Jirattana Kreewong Journal of Integration Social Sciences and Development 5 (1), 214-224 , 2025 2025
A Green Marketing and Its Implications for Business Performance and Reputation, Case of Adama Special Zone ,Oromia Regional State, Ethiopia MR Girma Negussie Hurrisa International Journal of Leadership and Public Sector Reform 2 (1), 29-42 , 2024 2024
Explainable AI Technology in E-CPS: Policy Design, Economic Research, and Case Studies RD B.Raja Mannar,Thangaraja Arumugam, Saritha Bantu, Yeligeti Raju Cyber Physical Energy Systems , 2024 2024
INDUSTRY EXPERIENCE
Finance Executive – Global Service Center, HSBC India, November 2008 – September 2014
-Month end activities pertaining to HTCU UK Ltd subsidiary of HSBC plc
-Preparation of period end journals for accruals during the month end
Process Expert - Genpact India Ltd, February 2006-November 2008
-Associated with top notch pharma clientele
GlaxoSmithKline–UK(Travel&Expense) GlaxoSmithKline–US (FixedAssets)
-Succeeded in creating of learning path for all New Joinees and ensure high percentage of Cross Training among the team
