Ashok Kumar Sahoo

@kalasalingam.ac.in

Assistant Professor, Department of Commerce
Kalasalingam Academy of Research and Education

Ashok Kumar Sahoo


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https://researchid.co/ashok555
Dr. Ashok Kumar Sahoo is currently working as an Assistant Professor in Commerce at Kalasalingam Academy of Research and Education (KARE), Srivilliputhur, Virudhunagar District, Tamil Nadu, India. He is an accomplished researcher and academician with specialization in Finance, Management, and Corporate earned his Ph.D. in Commerce from Gangadhar Meher University, Amruta Vihar, Sambalpur, Odisha. He has also qualified the UGC–NET examination, demonstrating his academic excellence and research aptitude.

Dr. Sahoo is a recipient of several prestigious awards and fellowships. Recently, he was honored with the “Young Researcher Award” by the Institute of Scholars (InSC), Government of India. He is a State Research Fellowship awardee from OURIIP, Odisha State Higher Education Council (OSHEC), Government of Odisha, and a National Fellowship awardee from the Dr. Ambedkar International Centre, Department of Social Justice and Empowerment, Government of India.

EDUCATION

B.Com (Hons.)., M.Com., M,Phil., PGDIM, PhD., UGC-NET, OURIIP- JRF, DAIC-DF-JRF, B.Ed

RESEARCH, TEACHING, or OTHER INTERESTS

Finance, Accounting, Business, Management and Accounting, Biochemistry
9

Scopus Publications

100

Scholar Citations

7

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Interface technology: Increasing the effectiveness of medical financial decision-making
    Prithu Sarkar, E. Gnanaprasuna, Srinivasa Rao Dokku Dokku, Ashok Kumar Sahoo, M. Angulakshmi, Binay Kumar Pandey, A. Shaji George
    Brain Computer Interfaces and Applications in Business, 2025
    The integration of Brain-Computer Interface (BCI) technology into financial decision-making processes is a transformative approach that improves the precision and efficacy of real-time financial strategies. BCI technology is capable of facilitating enhanced and expedited assessments by directly interpreting brain impulses and providing substantial insights into cognitive patterns. This optimisation is achieved by monitoring mental and emotional processes in real time, which leads to a more comprehensive comprehension of financial preferences, decision fatigue, and risk tolerance. This article investigates the potential applications, advantages, and ethical implications of brain-computer interface (BCI) technology in financial decision-making, with a particular emphasis on its revolutionary influence on major financial institutions and ordinary investors.
  • AI-Powered Cyber security: Neural Networks for Threat Detection and Prevention
    Manish Kumar, Muzaffar Shojonov, Bekzod Madaminov, Ashok Kumar Sahoo, Tripti Tiwari, M. K. Sharma
    2025 World Skills Conference on Universal Data Analytics and Sciences Worldsuas 2025, 2025
    The threats that are associated with cyber are increasing at a very fast rate, and the traditional security measures cannot effectively address this problem. This study aims at establishing purpose of AI in enhancing privacy, threat detection, and mitigation. Applying the Neural Networks, CNNs and Autoencoder, this work examines the 20000 cybersecurity events and proves how AI can detect the patterns of attacks, categorise the threats by their severity, and trigger responses appropriately. The performance of the proposed system was calculated, where CNNs attained 97.6% precision in threat classification with Autoencoders enhancing response accuracy to 97.2% reducing the false positives and augmenting the proactive security measures. In addition, threat intelligence models that are powered by AI cut the risks of data exfiltration by 90.4% and enhanced the security systems. Understanding that this research may enable the deployment of real-time autonomous security risks is helpful for professionals in cybersecurity. Better explanations and interpretations of artificially intelligent systems must be developed, and the incorporation of AI into blockchain for decentralized threat intelligence for sustainable intelligent and adaptive solutions.
  • Comparing Supervised and Unsupervised Learning Techniques for Customer Segmentation in Marketing
    Dr. S. Thandayuthapani, Dr. Irfan Abdul Karim Shaikh, Dr. Govind Soni, Dr. Manesh R. Palav, Dr. Ashok Kumar Sahoo, Anjana C A
    Proceedings 1st International Conference on Frontier Technologies and Solutions Icfts 2025, 2025
    The research contrasts marketing client segmentation strategies that utilize supervised and unsupervised learning techniques. The initial stage entails a comprehensive comparison and contrast of the two methodologies, with an emphasis on their respective strengths, weaknesses, and common applications in consumer segmentation. Hierarchical clustering is among the methodologies that are investigated. In the comparative research, the effectiveness of various methodologies is evaluated using a variety of metrics, including precision, scalability, interpretability, and simplicity of implementation. The research investigates the potential challenges associated with the use of supervised and unsupervised learning approaches for consumer segmentation, including data quality, feature selection, and algorithm complexity. The research offers recommendations for selecting the most effective approach in light of the constraints of a marketing endeavor. This comparative research will be a valuable resource for data scientists and marketers who are interested in enhancing client segmentation strategies through the use of machine learning.
  • An in-depth analysis of industry 5.0 in next-gen manufacturing and differentiations from industry 4.0
    Ashok Kumar Sahoo, V. Alekhya, Vijilius Helena Raj, Ashish Kumar, Chetan Shelke
    Powering Industry 5 0 and Sustainable Development Through Innovation, 2024
    The term “industrial revolution” refers to the change from old industrial methods to novel ones that were controlled by the technology of the day. Mechanization, electrical power, and automation drove the initial three industrial revolutions, which progressively converted the agricultural economy into one centered on manufacturing. It contributed to improving the standard of existence for industry employees and the medical sector as a whole. The results indicate a significant rise in manufacturing effectiveness of 1.52%, which can be ascribed to 36.2°C rising temperatures and 44.8% humidity reductions after adoption. A 0.76% rise in quality levels (93.1) for quality management was attributed to a reduction in faults discovered (2). Service procedures worked better, with 2.3 fewer hours of service and 52 mins of downtime. These findings demonstrate the practical benefits of combining IoT and AI in next generation manufacturing, positioning it at the forefront of the transformative environment of Industry 5.0 and enhancing output, excellence, and upkeep.
  • Green manufacturing innovations fuelling the transition to a sustainable industry 5.0
    Ashok Kumar Sahoo, Shweta Gakhreja, C. Rakesh, Manish Gupta, Harshit Bhavsar, T. Ch. Anil Kumar
    Powering Industry 5 0 and Sustainable Development Through Innovation, 2024
    Industry 5.0, also known as the Fifth Industrial Revolution, or simply 5.0, is a new stage of industrialization where modern technology and robots driven by artificial intelligence (A.I.) work together to improve workplace procedures. While most businesses are still having difficulty digitizing their operations through the use of cloud, artificial intelligence (AI), and other advanced technologies, the next phase of the age of industrialization is anticipated to arrive in the near future. Industry 5.0 has generated a lot of excitement around sustainability, but little research has been done on the minor processes via which this agenda might be used to achieve socio-environmental ideals. The study also looks into how it might help with environmental issues and encourage environmentally friendly production methods. In order to apply sustainable manufacturing practices throughout their I5.0 journey, regulators, business leaders, and technology providers can benefit greatly from the findings.
  • AI-Based Risk Management in Financial Services
    Madhavi Katamaneni, Prateek Agrawal, Sathiesh Veera, Ashok Kumar Sahoo, Kawerinder Singh Sidhu, Mohammed Faez Hasan
    2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
    When it comes to the financial services industry, efficient risk management is very necessary to guarantee stability and compliance in the face of constantly shifting market conditions. The purpose of this research study is to investigate the potential roles that artificial intelligence (AI) could play in improving risk management methods throughout financial organizations. To identify, evaluate, and mitigate financial risks, we investigate a variety of artificial intelligence techniques, such as machine learning algorithms, natural language processing procedures, and predictive analytics. Artificial intelligence models can deliver real-time insights and prediction skills that traditional approaches frequently lack. These capabilities are achieved through the analysis of historical data, transaction patterns, and market trends. Within the scope of this research project, the effectiveness of AI-driven approaches is compared to that of traditional risk management tactics. Particular attention is paid to enhancements in terms of accuracy, efficiency, and scalability. According to the findings, artificial intelligence dramatically improves risk detection and management, providing financial institutions with more powerful tools to tackle regulatory obstacles and uncertainties. This research highlights the revolutionary potential of artificial intelligence in redefining risk management frameworks, thereby paving the way for financial risk mitigation measures that are more proactive and data-driven.
  • Faulty diagnostics model in e-commerce using AI
    A. Sahoo, Sampada S. Gulavani, Manika Manwal, Rani Medidha, Bhaskar Thupakula, M. M
    Measurement Sensors, 2023
    Risk administration has increased due to increased online orders to avoid sales invoices. Failure to pay a bill within 90 days of receipt constitutes overdue payment. The credit rating is used to determine the probability that consumers will fail. The CR has been thoroughly studied and several learning algorithms have been proposed. The main goal is to create a CR model for the role of Risk Solution Services (RSS), an industry standard for predicting the parameters of customer default in e-commerce risk assessment. The risk assessment included a general concept, exclusion criteria, and details of the ordering process. The most recent design should operate both independently and in conjunction with the NRC Primary Risk Audit as it is intended to replace the overall screening risk assessment. This article is about a CR implementation of Genetic Programming (GP) with Artificial Intelligence (AI). The dataset includes RSS-enabled purchase requisitions. The results show that the GP pre-risk control model goes beyond the generic CR model in terms of classification accuracy. A system with more discriminatory capacity is produced by combining GP models with the NRC's major risk assessment.
  • The application of garrett scoring techniques for assessment of the farmer problems in obtaining and repayment of agricultural credit
    International Journal of Scientific and Technology Research, 2020
  • A study on Bangla handwritten compound character recognition using LDP
    A. Roy, S. Dutta, M. Das
    Computer Communication and Electrical Technology Proceedings of the International Conference on Advancement of Computer Communication and Electrical Technology Accet 2016, 2017
    Handwritten signature is an important biometric attribute of a human being and the most natural method of authenticating a person’s identity. Verification of handwritten signature can be performed either off-line or online based on application. In this paper, offline handwritten signature recognition and verification using neural network is projected, where the signature is written on a paper and is obtained using a scanner and presented in an image format. There are various approaches to signature recognition with a lot of scope of research. The method presented in this paper consists of global feature extraction, neural network training with extracted features and verification. A verification stage includes applying the extracted features of test signature to a trained neural network. Signatures are verified based on parameters extracted from the signature using various global features. The method is implemented using MATLAB.

RECENT SCHOLAR PUBLICATIONS

  • OPEN INNOVATION AS A CORPORATE STRATEGY: BALANCING INTERNAL R&D AND EXTERNAL COLLABORATION
    S Jothi, E., Tewari, D., Sahoo, A. K., Aditya, A., Mon, M. Z., & Ghosh
    Scientific Culture 12 (4), 8320-8329 , 2026
    2026
  • Impact of FinTech Adoption on Financial Inclusion and Sustainable Agricultural Practices: Extending the Technology Acceptance Model among Smallholder Farmers in South Tamil …
    R Rathi, AK Sahoo
    International Journal of Economic Practices and Theories 2026, 1444-1471 , 2026
    2026
  • An empirical analysis of green lending practices and their impact on credit risk management in the banking sector during the Russia–Ukraine war
    AK Shirustiya, R. R., & Sahoo
    International Journal of Economic Practices and Theories 2026 (1), 1495-1508 , 2026
    2026
  • Strategic risk management and sustainable banking performance: An empirical analysis of non-performing assets in Indian banks (2019–2023).
    AK Tamilselvi, V., Sahoo
    International Journal of Economic Practices and Theories 2026 (1), 994-1011 , 2026
    2026
  • AI-Powered Cyber security: Neural Networks for Threat Detection and Prevention
    M Kumar, M Shojonov, B Madaminov, AK Sahoo, T Tiwari, MK Sharma
    2025 World Skills Conference on Universal Data Analytics and Sciences … , 2025
    2025
    Citations: 3
  • Comparing Supervised and Unsupervised Learning Techniques for Customer Segmentation in Marketing
    DAKSACA D. S. Thandayuthapani, D. I. A. Karim Shaikh, D. G. Soni, D. M. R. Palav
    2025 International Conference on Frontier Technologies and Solutions (ICFTS … , 2025
    2025
  • AI and IoT integration in startups: Unlocking new business models and market opportunities
    YS Malik, N., Sahoo, A. K., Varma, A., Sheoliha, N., Deshpande, N. D ...
    Economic Sciences, https://doi.org/10.69889/yeb5bf67 21 (2), 283-288 , 2025
    2025
  • Comparing Supervised and Unsupervised Learning Techniques for Customer Segmentation in Marketing
    1. D. S. Thandayuthapani, D. I. A. Karim Shaikh, D. G. Soni, D. M. R. Palav ...
    2025 International Conference on Frontier Technologies and Solutions (ICFTS … , 2025
    2025
  • Transforming Human Resource Management With Brain-Computer Interface Innovations
    R Vijayalakshmi, SH Krishna, AK Sahu, A Adel, ME Lourens, ...
    Concepts and Applications of Brain-Computer Interfaces, 257-272 , 2025
    2025
  • Smart distribution network for healthcare goods in hospitals
    V Pawar, M Govindaraj, GV Sagar, M Abirami, PS Priya, AK Sahoo
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2
  • AI-based risk management in financial services
    M Katamaneni, P Agrawal, S Veera, AK Sahoo, KS Sidhu, MF Hasan
    2024 Second International Conference Computational and Characterization … , 2024
    2024
    Citations: 9
  • Ethical Considerations in Digital Marketing: Challenges and Best Practices
    M Sharma, MB Kawatra
    Journal of Informatics Education and Research 4 (3), 473-484. , 2024
    2024
    Citations: 3
  • Pawar, Vilis and Govindaraj, Manoj and Sagar, G.V.Abhinav and Abirami, M. and Priya, P.Shanmugha and Sahoo, Ashok Kumar
    AK 3. Pawar, Vilis and Govindaraj, Manoj and Sagar, G.V.Abhinav and Abirami ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • AI-Based Risk Management in Financial Services
    KSSMFH 2. M. Katamaneni, P. Agrawal, S. Veera, A. K. Sahoo
    2024 Second International Conference Computational and Characterization … , 2024
    2024
  • The Role of Leadership Styles in Shaping Organizational Culture: A Human Resource Management Approach,
    S 4. Singh, N., Biswas, R., Acharya, B., Sharma, A., Sahoo., A., Banu
    Journal of Informatics Education and Research. 4 (2), 2168-2177 , 2024
    2024
  • An In-Depth Analysis of Industry 5.0 in Next-Gen Manufacturing and Differentiations From Industry 4.0
    AK Sahoo, V Alekhya, VH Raj, A Kumar, C Shelke
    Powering Industry 5.0 and Sustainable Development Through Innovation, 154-169 , 2024
    2024
    Citations: 17
  • Green Manufacturing Innovations Fuelling the Transition to a Sustainable Industry 5.0
    SGCRMGHBTCA Ashok Kumar Sahoo
    Powering Industry 5.0 and Sustainable Development Through Innovation , 2024
    2024
    Citations: 11
  • Faulty diagnostics model in e-commerce using AI
    AK Sahoo, S Gulavani, M Manwal, R Medidha, T Bhaskar
    Measurement: Sensors 25, 100634 , 2023
    2023
    Citations: 17
  • Exploring the Use of an Integrated Financial Management Information System (IFMIS) in the Local Government Institutions
    A Kumar, M., Pathak, N., Kumawat, M.K., Priyadharshini, R., Sundar, I.S., Sahoo
    World Journal of Management and Economics. 16 (5), 1-8 , 2023
    2023
  • The Role of Information Systems and Organizational Communication Culture in Transforming a Business Function
    C 5. Kadhirvel, R., Gautam, S., Vinod, N, Sahoo, A., Shrivastava, N., Esha.
    World Journal of Management and Economics 16 (5), 1-8 , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • An In-Depth Analysis of Industry 5.0 in Next-Gen Manufacturing and Differentiations From Industry 4.0
    AK Sahoo, V Alekhya, VH Raj, A Kumar, C Shelke
    Powering Industry 5.0 and Sustainable Development Through Innovation, 154-169 , 2024
    2024.0
    Citations: 17
  • Faulty diagnostics model in e-commerce using AI
    AK Sahoo, S Gulavani, M Manwal, R Medidha, T Bhaskar
    Measurement: Sensors 25, 100634 , 2023
    2023.0
    Citations: 17
  • Structure of Agricultural Credit System in India
    A Sahoo.
    International Journal of Research in Commerce, Economics & Management. 8 (6 … , 2018
    2018.0
    Citations: 17
  • Green Manufacturing Innovations Fuelling the Transition to a Sustainable Industry 5.0
    SGCRMGHBTCA Ashok Kumar Sahoo
    Powering Industry 5.0 and Sustainable Development Through Innovation , 2024
    2024.0
    Citations: 11
  • Agricultural financing for agricultural development in India: a perceptional study on Sambalpur district
    AK SAHOO, S DASH, SS RATH
    Revista Espacios 41 (08) , 2020
    2020.0
    Citations: 11
  • AI-based risk management in financial services
    M Katamaneni, P Agrawal, S Veera, AK Sahoo, KS Sidhu, MF Hasan
    2024 Second International Conference Computational and Characterization … , 2024
    2024.0
    Citations: 9
  • The application of garrett scoring techniques for assessment of the farmer problems in obtaining and repayment of agricultural credit
    AK Sahoo, S Dash, SS Rath
    International Journal Of Scientific & Technology Research 9 (03), 5192-5199 , 2020
    2020.0
    Citations: 8
  • AI-Powered Cyber security: Neural Networks for Threat Detection and Prevention
    M Kumar, M Shojonov, B Madaminov, AK Sahoo, T Tiwari, MK Sharma
    2025 World Skills Conference on Universal Data Analytics and Sciences … , 2025
    2025.0
    Citations: 3
  • Ethical Considerations in Digital Marketing: Challenges and Best Practices
    M Sharma, MB Kawatra
    Journal of Informatics Education and Research 4 (3), 473-484. , 2024
    2024.0
    Citations: 3
  • Smart distribution network for healthcare goods in hospitals
    V Pawar, M Govindaraj, GV Sagar, M Abirami, PS Priya, AK Sahoo
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024.0
    Citations: 2
  • A Study of Bancassurance undertaken by Private Sector Banks in India.
    AK Sahoo, MP Scholar
    Int. Journal of Engineering Research and Application www. ijera. com ISSN … , 0
    Citations: 2
  • OPEN INNOVATION AS A CORPORATE STRATEGY: BALANCING INTERNAL R&D AND EXTERNAL COLLABORATION
    S Jothi, E., Tewari, D., Sahoo, A. K., Aditya, A., Mon, M. Z., & Ghosh
    Scientific Culture 12 (4), 8320-8329 , 2026
    2026.0
  • Impact of FinTech Adoption on Financial Inclusion and Sustainable Agricultural Practices: Extending the Technology Acceptance Model among Smallholder Farmers in South Tamil …
    R Rathi, AK Sahoo
    International Journal of Economic Practices and Theories 2026, 1444-1471 , 2026
    2026.0
  • An empirical analysis of green lending practices and their impact on credit risk management in the banking sector during the Russia–Ukraine war
    AK Shirustiya, R. R., & Sahoo
    International Journal of Economic Practices and Theories 2026 (1), 1495-1508 , 2026
    2026.0
  • Strategic risk management and sustainable banking performance: An empirical analysis of non-performing assets in Indian banks (2019–2023).
    AK Tamilselvi, V., Sahoo
    International Journal of Economic Practices and Theories 2026 (1), 994-1011 , 2026
    2026.0
  • Comparing Supervised and Unsupervised Learning Techniques for Customer Segmentation in Marketing
    DAKSACA D. S. Thandayuthapani, D. I. A. Karim Shaikh, D. G. Soni, D. M. R. Palav
    2025 International Conference on Frontier Technologies and Solutions (ICFTS … , 2025
    2025.0
  • AI and IoT integration in startups: Unlocking new business models and market opportunities
    YS Malik, N., Sahoo, A. K., Varma, A., Sheoliha, N., Deshpande, N. D ...
    Economic Sciences, https://doi.org/10.69889/yeb5bf67 21 (2), 283-288 , 2025
    2025.0
  • Comparing Supervised and Unsupervised Learning Techniques for Customer Segmentation in Marketing
    1. D. S. Thandayuthapani, D. I. A. Karim Shaikh, D. G. Soni, D. M. R. Palav ...
    2025 International Conference on Frontier Technologies and Solutions (ICFTS … , 2025
    2025.0
  • Transforming Human Resource Management With Brain-Computer Interface Innovations
    R Vijayalakshmi, SH Krishna, AK Sahu, A Adel, ME Lourens, ...
    Concepts and Applications of Brain-Computer Interfaces, 257-272 , 2025
    2025.0
  • Pawar, Vilis and Govindaraj, Manoj and Sagar, G.V.Abhinav and Abirami, M. and Priya, P.Shanmugha and Sahoo, Ashok Kumar
    AK 3. Pawar, Vilis and Govindaraj, Manoj and Sagar, G.V.Abhinav and Abirami ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024.0

Publications

E-CONTENT
 YouTube Channel
“Commerce & Management Guru (CMG)”, By Dr. Ashok Kumar Sahoo
 ORCID-
 Scopus ID-
 Google Scholar
 ResearchGate-
 Vidwan ID-489608
 Web of Science Researcher ID: LFV-8236-2024