Dr. Kamlesh Lakhwani
Lovely Professional University, JECRC University, Indian Institute of Technology Patna, Gyan Vihar University
About
Dr. Kamlesh Lakhwani is a professor, author, and researcher with fifteen years of teaching and research experience in computer science and IT. Presently, he is working as a Professor in the Department of Computer Engineering, at JECRC University, Jaipur, Rajasthan, India. He is a member of international societies/associations such as IEEE (USA), MIAENG, ICSES, and LMCSI (India). Dr. Lakhwani has an excellent academic background with sound teaching and research experience. Under the Institute-Industry linkage program, he delivers expert lectures on varied themes of CS and IT. As a prolific writer in Computer Science, he penned down several learning materials on the IoT, Machine Learning, Cloud Computing, etc. He has contributed more than 50 research articles in national and international conferences/journals/seminars. His areas of interest include Computer Vision, Image Processing, Machine Learning, IoT, and Cloud Computing.
Employment
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Lovely Professional University
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JECRC University
Education
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Indian Institute of Technology Patna Master of Technology (Cloud Computing)
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Gyan Vihar University PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (58)
- An extensive survey on citrus plant disease detection using image processing and deep learning Save
- Detection of liver cirrhosis using fuzzy expert system Save
- Enhancing the quality of service of smart contracts for healthcare DAPPS: a novel approach Save
- Diagnosis of liver disorder Save
- Aspect-based sentimental analysis using optimized multi-layered deep BiLSTM classifier Save
- A Systematic Literature Review on Cross Domain Sentiment Analysis Techniques: PRISMA Approach Save
- Analytical Survey of Domain Effective Sentiment Lexicon for Aspect-Centric Opinion Analysis Save
- Self-Configuring Knowledge Graph-Based BiLSTM Classifier with Bat-Harris Optimization For Sentiment Lexicon Save
- Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment Save
- Knowledge vector representation of three-dimensional convex polyhedrons and reconstruction of medical images using knowledge vector Save