Prof. Anil Kumar Dubey
Also known as: anil dubey
ABES Engineering College, Poornima Group of Colleges, Career Point University, Government Engineering College Ajmer, Greater Noida Institute of Technology
About
Dr. Anil Kumar Dubey has graduated in Information Technology in 2008 from Uttar Pradesh Technical University Lucknow, INDIA. During his studies he became very interested in technology interaction with society for smarter environments.
In 2010, Dr. Dubey has Master Degree in Software Engineering from Rajasthan Technical University Kota, INDIA. When developing his master dissertation, he applied his research skills in the study on “Software Reliability: A New Prospective” to predict error, fault and failure in deep, measure the mean time between failures and reliability status of software regards the environmental effect.
In 2015, he has Doctorate Degree in Computer Science & Engineering in Human Computer Interaction from Career Point University Kota, INDIA. Where, to measure the impact of impact of HCI Technologies on the current Indian environments and design the framework models of future HCI collaborated technologies.
Dr. Dubey is an Professor (CSE) in ABES Engineering College, Ghaziabad, NCR, INDIA. Previously he was Associate Professor (CSE) in Poornima Institute of Engineering & Technology Jaipur, Rajasthan, INDIA and Faculty in the Department of CS & IT at Government Engineering College Ajmer, Rajasthan, INDIA and teaches to UG and PG students. He has organized and participated in various international & national conferences/workshops/FDPs. He has published many articles in international journal and IEEE conferences relevant to the field of HCI and Software Engineering. His paper is indexed in several journals and several digital libraries like IEEE, Springer, ACM. His research interests include: Human Computer Interaction, Software Engineering and Ubiquitous Computing.
He has acted as a Keynote Speaker, Session Chair and given several talks and seminars in National & International Conferences and has also earned various awards. He serves as editorial board member and Committee Member of many international journals as well as international Conferences and reviewed papers. He is also a member of various technical research societies such as SMIEEE, LMCSI, MACM, IEEE CS & LMISTE, CSTA, Ex-Execom Committee Member IEEE Rajasthan Sub Section, Ex-Chair of IEEE Humanity Technology and Challenges of IEEE Rajasthan Sub Section and Executive Committee Member IEEE Computer Society India Council 2015-16 etc.
Employment
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ABES Engineering College Professor2025 - Present
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ABES Engineering College Associate Professor2018 - 2025
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Poornima Group of Colleges Associate Professor2017 - 2018
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Government Engineering College Ajmer Faculty2011 - 2017
Education
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Career Point University Ph.D.2012 - 2015
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Government Engineering College Ajmer Master of Technology2008 - 2011
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Greater Noida Institute of Technology Bachelor of Technology2004 - 2008
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Government Inter College Intermediate2002 - 2004
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Government Inter College High School2000 - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (69)
- Adaptive contextual memory graph transformer with domain-adaptive knowledge graph for aspect-based sentiment analysis Save
- A Privacy‐Preserving and Interpretable Federated Learning Framework With Clinician Feedback for Multi‐Hospital Clinical Decision Support Save
- Intelligent Object Detection for Visually Impaired People Using YOLO Algorithm Save
- A domain knowledge infused gated network using integrated sentiment prediction framework for aspect-based sentiment analysis Save
- Early stage brain tumor prediction using dilated and Attention-based ensemble learning with enhanced Artificial rabbit optimization for brain data Save
- Prognostic Pattern: A Hybrid Methodology For Predictivity in Medical Imaging Using VGG-16 Save
- Optimized Machine Learning for Medical Data Analysis and Disease Prediction Save
- Unveiling Prognostic Pattern: A Hybrid Approach For Predictive Analytics in Medical Image Data Save
- Computational Intelligence in the Industry 4.0 Save
- A Well Structured and Friendly Chatbot for Primary Level Heart Disease Prediction using Symptoms Save