Chandra Prakash

About

Dr. Chandra Prakash is working as an Assistant Professor in the Department of CSE in National Institute of Technology Delhi. He got his Ph.D. in the Computer science and Engineering at Malaviya National Institute of Technology, Jaipur, India. Dr. Chandra Prakash received 5 year Integrated Post-Graduation (B.Tech and M.Tech) in Information Technology from Indian Institute of Information Technology and Management (IIITM), Gwalior, India from 2005 to 2010. He has 9 years of teaching and research experience in Academics. Dr. Chandra Prakash has published one patent and 31 research articles in reputed journals and international conference. He is member of Editorial committee & Technical Program Committee of numerous International Conferences and Journals. He is a recipient of the four best papers in different international conferences; scholarship under the Junior Research Fellowship Program from DST, Government of India; the Lord of the Code Scholarship from RedHat and the Indian Institute of Technology Bombay. He is a member of the IEEE and CSI.

Employment

• National Institute of Technology Delhi Dr
  2019 - Present
• Indira Gandhi Delhi Technical University for Woman (IGDTUw) Assistant Professor
  2018 - 2019
• University of Petroleum and Energy Studies Assistant Professor
  2017 - 2018
• Malaviya National Institute of Technology Junior Research Fellow
  2014 - 2016
• Lovely Professional University Assistant Professor
  2010 - 2014

Education

• Malaviya National Institute of Technology Jaipur Ph.D
  2015 - 2018
• Atal Bihari Vajpayee Indian Institute of Information Technology and Management B.Tech + M.Tech
  2005 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Robust Approach for Emotion Classification Using Gait
  Advances in Intelligent Systems and Computing 2021 3 citations DOI: 10.1007/978-981-15-5113-0_74
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• Linear Prediction Model for Joint Movement of Lower Extremity
  Advances in Intelligent Systems and Computing 2019 13 citations DOI: 10.1007/978-981-10-8639-7_24
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• A framework for human recognition using a multimodel Gait analysis approach
  Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 2017 17 citations DOI: 10.1109/CCAA.2016.7813743
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• UMEED-A Fuzzy Rule-Based Legal Expert System to Address Domestic Violence Against Women
  Advances in Computer and Computational Sciences: Proceedings of ICCCCS 2016, Volume 1 2017 1 citation DOI: 10.1007/978-981-10-3770-2_59
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• A Multimodel Approach for Schizophrenia Diagnosis using fMRI and sMRI Dataset
  Intelligent Systems Technologies and Applications 2016 2016 9 citations DOI: 10.1007/978-3-319-47952-1_69
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• Automated detection of human gait events from conventional videography
  2016 International Conference on Emerging Trends in Communication Technologies (ETCT) 2016 7 citations DOI: 10.1109/ETCT.2016.7882987
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• Comparative analysis of Background Subtraction techniques and applications
  2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE) 2016 10 citations DOI: 10.1109/ICRAIE.2016.7939553
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• Fuzzy Logic-Based Gait Phase Detection Using Passive Markers
  Proceedings of Fifth International Conference on Soft Computing for Problem Solving 2016
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• Fuzzy logic-based gait phase detection using passive markers
  Advances in Intelligent Systems and Computing 2016 13 citations DOI: 10.1007/978-981-10-0448-3_46
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• Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
  Artificial Intelligence Review 2016 278 citations DOI: 10.1007/s10462-016-9514-6
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