Research Area 

Area of Interest

• Big Data
  Big Data enables the collection and analysis of massive datasets from diverse sources. Using AI and ML algorithms, hidden patterns, trends, and insights can be extracted to support smarter decision-making across industries such as healthcare, agriculture, and finance.

• Deep Learning
  Deep Learning, a subset of ML, leverages neural networks to mimic human intelligence in processing complex data such as images, speech, and sensor signals. It empowers applications like medical image analysis, precision farming, and predictive maintenance in IoT systems.

• Machine Learning
  Machine Learning focuses on building algorithms that learn from data to make predictions and decisions. Integrated with IoT devices, ML drives adaptive systems in real-time for areas like smart agriculture, digital health monitoring, and industrial automation.

• Digital Health
  Digital Health combines AI, ML, and IoT to improve patient care through real-time monitoring, disease prediction, and personalized treatment. It enables smart healthcare solutions such as wearable-based diagnostics and AI-powered decision support systems.

• Smart Agriculture
  Smart Agriculture applies IoT sensors, AI-driven analytics, and ML-based predictions to optimize crop yields, soil health, and water management. Deep learning models also aid in plant disease detection and precision farming, ensuring sustainable agricultural practices.

• Computational Technology
  Computational Technology advances AI, ML, and Deep Learning applications by providing high-performance computing for data-intensive tasks. It supports the integration of IoT ecosystems and accelerates innovations across domains like digital health and smart farming.

• Computer Vision

Computer Vision empowers machines to interpret and analyze visual information from images and videos. Leveraging AI and Deep Learning, it enables applications such as disease diagnosis in healthcare, crop monitoring in agriculture, smart surveillance, and autonomous systems within IoT-driven environments. 

Professional Membership:

¨     Senior Member IEEE (SMIEEE)- 93617078

¨     Professional Member ACM- 5190776

Reviewer & Editorial Member:

¨     Big Data Research

¨     Data & Knowledge Engineering

¨     Journal of Open Innovation: Technology, Market, and Complexity

¨     Information Fusion 

¨     Expert System with Application 

¨     Engineering Application of Artificial Intelligence

¨     ISA Transactions 

¨     IEEE Access , “The Multidisciplinary Open Access Journal”

¨     SN Computer Science (Springer Nature)

¨     JDMSC (Taylor & Francis)

¨     MDPI (Sensors)

¨     MDPI (Journal of Clinical Medicine)

¨    MDPI (Applied Sciences)

Certification & Training:

• Participated in FDP on “NEP 2020 ORIENTATION & SENSITIZATION PROGRAMME” during April 21-30, 2025 at Malaviya Mission Teacher Training Centre (MMTTC), Staff Training and Research Institute of Distance Education (STRIDE), Indira Gandhi National Open University (IGNOU), New Delhi.

• Participated in Induction Program during April 07-27, 2025 at Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India.

• Participated in FDP on “Emerging Challenges in Cyber Security” during October 18-22, 2022 at Govind Ballabh Pant Engineering College conducted by AICTE Training and Learning (ATAL) Academy.

• Participated in FDP on “Internet of Things (IoT)” during May-June 31-04, 2020 at JNU New Delhi conducted by AICTE Training and Learning (ATAL) Academy.

• Participated in Workshop on “Internet of Things (IoT)” during June 22-26, 2020 conducted by International Center for Advanced Research and Studies (ICARS), New Delhi.

• Participated in Workshop on “Research Tools” during June-July, 29-03, 2020 conducted by International Center for Advanced Research and Studies (ICARS), New Delhi.

• Participated in Short Term Course on “Cloud Computing through ICT” during October 23-27, 2017 conducted by National Institute of Technical Teachers Training and Research Chandigarh, MHRD, Govt. of India.

• Participated in Short Term Course on “Open-Source Technology through ICT” during November 13-17, 2017 conducted by National Institute of Technical Teachers Training and Research Chandigarh, MHRD, Govt. of India.

• Participated in FDP on “Big Data Computing & Analytics” during January 27-31, 2016 at IMS Ghaziabad in association with Dr. A.P.J. Abdul Kalam Technical University, Lucknow.

• Participated in FDP on “Android” from August 29th to September 3rd, 2016 at Noida International University in association with Skill Enhancement Academic Solution - Microsoft AEP.