Dilip Kumar Choubey

About

Dr. Dilip Kumar Choubey is currently working as an Assistant Professor in the Department of Computer Science & Engineering, Indian Institute of Information Technology Bhagalpur, Bihar since November 2020. He was also associated with VIT Vellore, Tamil Nadu and NIT Patna, Bihar as an Assistant Professor. He received his Ph.D. in Engineering from Birla Institute of Technology (B.I.T), Mesra, Ranchi in 2018, M.Tech degree in Computer Science and Engineering, B.E. in Information Technology from RGPV Bhopal in the year 2012 and 2010 respectively. He is an author of 2 books, 01 patent published, 02 copyright grant and has more than 80 reputed research publications in international journals, book chapters and conference proceedings. He has also received one project as a Co-PI funded by TEQUIP Collaborative Research Scheme. Currently, he is guiding 02 Ph.D. research scholars, guided 07 M. Tech students and 35 B.Tech Projects. Being a Coordinator, he has conducted many FDP/STC/Workshops, delivered many expert talks in FDP/Workshop/Conferences. He has reviewed many research papers in reputed journals/conferences/book chapters. He is the members of several professional bodies such as Senior member of IEEE, Fellow of IETE, life members of CSI, IAENG, ISOC, SDIWC, etc. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Soft Computing, Pattern Recognition, Bioinformatics, Data Mining, Database Management Systems, IoT, etc.

Employment

• IIIT Bhagalpur Assistant Professor
  2020 - Present
• VIT University Assistant Professor (Senior)
  2019 - 2020
• National Institute of Technology Patna Assistant Professor (On Contract)
  2017 - 2019
• Lakshmi Narain College of Technology Assistant Professor
  2013 - 2014

Education

• Birla Institute of Technology Ph.D. Research Scholar
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (76)

• Deep Learning-Based Brain Tumor Identification: A Lightweight CNN Approach for MRI Analysis
  2026 DOI: 10.1007/978-3-032-25176-3_22
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• Tomato Plant Disease Classification using Deep Learning Techniques
  2026 DOI: 10.1201/9781003715726-19
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• Digitally Innovative IoT-Enabled Smart Health Emergency Alert System
  2025 DOI: 10.4018/979-8-3373-2474-6.ch005
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• Multi-deep learning models based analysis for classification of thunderstorms on meteorological dataset over Ranchi region
  Engineering Research Express 2025 DOI: 10.1088/2631-8695/adaca4
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• Classification of Paddy Plant leaf diseases using optimized Support Vector Machine
  Procedia Computer Science 2025 DOI: 10.1016/j.procs.2025.04.393
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• Detection of paddy plant diseases using SVM-RFE, AROA with MBi-LSTM model
  Indian Journal of Engineering and Materials Sciences 2025 DOI: 10.56042/IJEMS.V32I02.14879
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• Lung and Colon Cancer Detection using Deep Learning Techniques
  Procedia Computer Science 2025 DOI: 10.1016/j.procs.2025.04.664
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• Detecting Heart Arrhythmias Using Deep Learning Algorithms
  Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation 2024 DOI: 10.1002/9781119905233.ch15
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• APP-Based Agriculture Information System for Rural Farmers in India
  Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation 2024 DOI: 10.1002/9781119905233.ch12
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• Reliable detection of blast disease in rice plant using optimized artificial neural network
  Agronomy Journal 2024 DOI: 10.1002/agj2.21449
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