Dr Anukul Pandey
Delhi Technological University, Dumka Engineering College (Estd. by Govt. of Jharkhand & run by Techno India under PPP), Dr BR Ambedkar National Institute of Technology, Nagpur Institute of Technology
About
Anukul Pandey was born in Jamui, Bihar, India. He received his B.Tech, M.Tech and PhD degrees in Electronics and Communication Engineering in 2011, 2013 and 2019, respectively. He obtained the M.Tech and PhD degrees from the Dr B R Ambedkar National Institute of Technology, Jalandhar (An Institute of National Importance, under MHRD, Govt. of India) in India. He is serving as an Assistant Professor, in Electronics and Communication Engineering Department, Delhi Technological University, Delhi, India.
His research interests include the biomedical signal/image processing, data compression, data security and wireless communications.
Employment
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Delhi Technological University Assistant Professor2020 - Present
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Dumka Engineering College (Estd. by Govt. of Jharkhand & run by Techno India under PPP) Assistant Professor2018 - 2020
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Nagpur Institute of Technology Assistant Professor2013 - 2013
Education
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Dr BR Ambedkar National Institute of Technology PhD2013 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- Design of a Low Noise Amplifier Based on Novel Monolayer Graphene FET Save
- ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing Save
- A fusion way of feature extraction for automatic categorization of music genres Save
- A Dual-Staged heterogeneous stacked ensemble model for gender recognition using speech signal Save
- ECG Heartbeat Classification of Myocardial Infarction and Arrhythmia using CNN Save
- Optimization of Fractional Order Low Pass Filter using A Meta-Heuristic Algorithm Save
- Medical Data Security Tools and Techniques in E-Health Applications Save
- Circularly Polarized Monopole Multiband Microstrip Patch Antenna for Multi-Band Operations Save
- ELECTROCARDIOGRAM DATA COMPRESSION TECHNIQUES IN 1D/2D DOMAIN Save
- Hybrid Resampling and Xgboost Prediction Using Patient's Details as Features for Parkinson's Disease Detection Save