Dipak Ramoliya

About

Strong professional holding B.E. and M.E. in Computer Engineering with relevant certifications and Pursuing PhD in Machine Learning.

Skilled in C, C#, Python, SQL, NoSQL, Android Programming, and machine learning frameworks.

Expertise: Database Design and Development, PL/SQL

- Flexibility and adaptability to work in any environment.
- Quick learner
- Good communication skills
- I am curious to try and Develop Mobile Application for different Learning Platforms.
- Extensive past Experience in Developing Web applications and Windows applications using .Net framework 2.0, .Net framework 3.5, .Net framework 4.0, .Net framework 4.5.
- Good Experience of Software Product development (Customized product, ERP etc...).
- Excellent analytical, problem solving skills, and a team player.
- Experience and good Working knowledge of Visual Studio 2005/2008/2012.
- Experience and good knowledge of MS SQL Server 2005/2008/2008R2/2012.

Employment

• Charotar University of Science & Technology Devang Patel Institute of Advance Technology and Research (DEPSTAR) Assistant Professor cum Research Fellow
  2018 - Present
• Silver Oak College of Engineering and Technology Assistant Professor
  2017 - 2018
• Darshan Institute of Engineering and Technology Assistant Professor
  2015 - 2017

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Enhancing anomaly detection performance using ResNet50 and BiLSTM networks on benchmark datasets
  International Journal of Electrical and Computer Engineering (IJECE) 2025 DOI: 10.11591/ijece.v15i4.pp3727-3736
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• Skin Disease Classification using Pre-Trained Convolution Neural Network with Transfer Learning
  2024 3rd International Conference for Innovation in Technology, INOCON 2024 2024 DOI: 10.1109/INOCON60754.2024.10511794
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• Technological Trends and Their Impact on Society: A Comprehensive Analysis
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-99-8346-9_33
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• An Extensive Analysis of Green Cloud Computing: Overview, Associated Challenges and Research Directions
  3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings 2023 DOI: 10.1109/ICIMIA60377.2023.10426222
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• Analysis of Stock Price-Prediction Models
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-99-0981-0_48
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• Classification of Regional Food Using Pre-Trained Transfer Learning Models
  7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 - Proceedings 2023 DOI: 10.1109/ICECA58529.2023.10395249
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• Improvisation in Spinal Surgery Using AR (Augmented Reality), MR (Mixed Reality), and VR (Virtual Reality) †
  Engineering Proceedings 2023 DOI: 10.3390/engproc2023059186
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• Insights of Deep Learning-Based Video Anomaly Detection Approaches
  Lecture Notes on Data Engineering and Communications Technologies 2023 DOI: 10.1007/978-981-99-1767-9_48
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• Unveiling Anomalies in Surveillance Videos Through Various Transfer Learning Models
  International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023 - Proceedings 2023 DOI: 10.1109/ICSSAS57918.2023.10331722
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• Advanced Techniques to Predict and Detect Cloud System Failure: A Survey
  6th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2022 - Proceedings 2022 DOI: 10.1109/ICECA55336.2022.10009597
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