Debi Prasanna Acharjya

Debi Prasanna Acharjya received his Ph.D. in computer science from Berhampur University, India. He has been awarded with Gold Medal in M. Sc. from NIT, Rourkela. Currently, he is working as a Professor in the School of Computing Science and Engineering, at VIT University, Vellore, India. He has authored many national and international journal papers, book chapters, and five books to his credit. Additionally, he has edited seven books to his credit. He is a reviewer of many international journals such as Fuzzy Sets and Systems, Knowledge-Based Systems, and Applied Soft Computing. He has been awarded Gold Medal from NIT, Rourkela; the Eminent Academician Award from Khallikote Sanskrutika Parisad, Berhampur, Odisha; the Bharat Vikas Award from the Institute of Self Reliance, Bhubaneswar; Outstanding Educator and Scholar Award from National Foundation for Entrepreneurship Development, Coimbatore, and Lifetime Achievement Award from NFED, Coimbatore. Dr. Acharjya is actively associated with many professional bodies like CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, IEEE, and IAENG. He was the founder-secretary of the OITS Rourkela chapter. His current research interests include rough sets, formal concept analysis, knowledge representation, data mining, granular computing, bio-inspired computing, and business intelligence.

Publications

Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time
Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time
Debi Prasanna Acharjya, Kauser Ahmed P.. © 2023. 280 pages.
Recently, several fog computing applications have been developed like IoT-based healthcare, 5G, blockchains, autonomous driving, and mobile wireless applications. They also...
Topic Modeling Techniques for Text Mining Over a Large-Scale Scientific and Biomedical Text Corpus
Topic Modeling Techniques for Text Mining Over a Large-Scale Scientific and Biomedical Text Corpus
Sandhya Avasthi, Ritu Chauhan, Debi Prasanna Acharjya. © 2022. 18 pages.
Topic models are efficient in extracting central themes from large-scale document collection and it is an active research area. The state-of-the-art techniques like Latent...
Knowledge Inferencing Using Artificial Bee Colony and Rough Set for Diagnosis of Hepatitis Disease
Knowledge Inferencing Using Artificial Bee Colony and Rough Set for Diagnosis of Hepatitis Disease
Kauser Ahmed P., Debi Prasanna Acharjya. © 2021. 24 pages.
Vast volumes of raw data are generated from the digital world each day. Acquiring useful information and chief features from this data is challenging, and it has become a prime...
A Framework for Various Attack Identification in MANET Using Multi-Granular Rough Set
A Framework for Various Attack Identification in MANET Using Multi-Granular Rough Set
N. Syed Siraj Ahmed, Debi Prasanna Acharjya. © 2021. 25 pages.
The topology changes randomly and dynamically in a mobile adhoc network (MANET). The composite characteristics of MANETs makes it exposed to interior and exterior attacks....
Behavioural Intention of Customers Towards Smartwatches in an Ambient Environment Using Soft Computing: An Integrated SEM-PLS and Fuzzy Rough Set Approach
Behavioural Intention of Customers Towards Smartwatches in an Ambient Environment Using Soft Computing: An Integrated SEM-PLS and Fuzzy Rough Set Approach
Gladys Gnana Kiruba B., Debi Prasanna Acharjya. © 2020. 32 pages.
The growth of new technologies and ambient intelligence is an emerging technology that enhances our life by adding sensors and networks. Ambient technology is a revolution on...
A Framework for Various Attack Identification in MANET Using Multi-Granular Rough Set
A Framework for Various Attack Identification in MANET Using Multi-Granular Rough Set
N. Syed Siraj Ahmed, Debi Prasanna Acharjya. © 2019. 25 pages.
The topology changes randomly and dynamically in a mobile adhoc network (MANET). The composite characteristics of MANETs makes it exposed to interior and exterior attacks....
Customer Choice of Super Markets using Fuzzy Rough Set on Two Universal Sets and Radial Basis Function Neural Network
Customer Choice of Super Markets using Fuzzy Rough Set on Two Universal Sets and Radial Basis Function Neural Network
A. Anitha, Debi Prasanna Acharjya. © 2016. 18 pages.
Information and communication technology made shopping more convenient for common man. Additionally, customers compare both online and offline price of a commodity. For this...
General Characterization of Classifications in Rough Set on Two Universal Sets
General Characterization of Classifications in Rough Set on Two Universal Sets
Tapan Kumar Das, Debi Prasanna Acharjya, Manas Ranjan Patra. © 2015. 19 pages.
Rough set was conceptualized to deal with indiscernibility or imperfect knowledge about elements in numerous real life scenarios. But it was noticed later that an information...