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Academic Profile

Mr. Akhilesh Kumar

Assistant Professor • School of Computer Science

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Mr. Akhilesh Kumar

Assistant Professor

Faculty Profile

Department

School of Computer Science

Qualification

MCA

Specialization

Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and Emerging Computing Technologies.

About

Mr. Akhilesh Kumar is an academician, researcher, and technology enthusiast working in the broad and rapidly evolving domain of Computer Science. His academic interests are centred on emerging computational technologies, particularly Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and intelligent computing systems. Through his teaching and research activities, he seeks to connect fundamental concepts of computer science with contemporary technological developments and their practical applications.His academic philosophy is built around the idea that computer science education should go beyond theoretical instruction and encourage students to develop analytical thinking, problem-solving abilities, creativity, and a research-oriented mindset. He is particularly interested in creating an academic environment in which students can understand not only how a technology works, but also why it is important, where it can be applied, and what challenges may arise from its implementation.

At Shri Davara University, Mr. Akhilesh Kumar has been associated with teaching, student mentoring, academic coordination, departmental activities, examination-related responsibilities, admission and student-support initiatives, seminars, workshops, and other institutional activities. His involvement extends beyond classroom teaching, reflecting his interest in contributing to the broader academic development of students and the institution.He also takes an active interest in research and scholarly communication. His research orientation encompasses Artificial Intelligence and Machine Learning applications, Deep Learning, intelligent data analysis, Quantum Computing, sustainable communication technologies, Industrial IoT, smart technologies, healthcare applications, and privacy and security challenges associated with intelligent systems. His work reflects an interdisciplinary approach in which computational methods are explored as tools for addressing practical and emerging technological problems.

Expertise Areas

His teaching and professional expertise encompasses several core and emerging areas of Computer Science. These include Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Database Management Systems, Big Data, Computer Networks, Operating Systems, Linux, Python Programming, Web Technologies, and Research Methodology.
In addition to conventional areas of computer science, he has a strong interest in emerging technologies such as Quantum Computing, Internet of Things, Industrial IoT, intelligent automation, and AI-enabled applications. He encourages the practical exploration of these technologies through projects, laboratory activities, demonstrations, and research-oriented assignments.

Research Interests

His research interests are primarily focused on the development and application of intelligent computational techniques for solving real-world problems. Artificial Intelligence and Machine Learning from the central themes of his research orientation, with particular interest in Deep Learning, computer vision, image analysis, predictive systems, and data-driven decision-making.Another significant area of interest is the application of AI in healthcare and other socially relevant domains. He is interested in exploring how intelligent models can assist in image-based analysis, automated classification, pattern recognition, and decision-support systems while maintaining reliability, privacy, and responsible use of data.He also has a growing research interest in AI and Quantum Computing, particularly in understanding how quantum computational paradigms may influence the future development of intelligent systems. His broader research interests include sustainable communication, Green Computing, Industrial IoT, Smart Village technologies, smart infrastructure, privacy and data security in AI systems, and Extended Reality and Industry 5.0.

Publications

Mr. Akhilesh Kumaris actively interested in scholarly research and academic publication in emerging areas of Computer Science and Information Technology. His research orientation includes both theoretical exploration and application-driven investigation, with an emphasis on technologies that have potential relevance to society, industry, and future computing environments.His research and publication interests include Artificial Intelligence and Quantum Computing, Deep Learning-based analysis and classification, AI applications in healthcare, Privacy and Data Security in AI Systems, Sustainable Communication Frameworks for Industrial IoT, Sustainable Communication Models for Smart Villages, Green Communications, Extended Reality (XR), and Industry 5.0.He is also interested in interdisciplinary research where computational intelligence can be combined with other domains to develop innovative solutions for complex real-world challenges

Achievements

Mr. Akhilesh Kumarhas contributed to academic life through a combination of teaching, research, student mentoring, institutional responsibilities, seminars, workshops, and academic events. He has participated in activities aimed at strengthening student engagement and promoting awareness of emerging technologies. His professional contributions include involvement in academic programmes, organization and coordination of seminars and workshops, student-oriented activities, institutional committees, academic monitoring, and admission-related initiatives. He has also supported students in understanding contemporary technologies and encouraged them to explore project development and research opportunities. His broader academic objective is to contribute toward developing technologically capable and research-oriented graduates who can adapt to the continuously changing landscape of Computer Science and Information Technology.