Dr. Neeraj is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University École Centrale School of Engineering. He holds a Ph.D. in Computer Science and Engineering from Indian Institute of Technology Patna (March 2022). His research primarily focuses on Time Series Analysis and Data Science.

• Indian Institute of Technology (IIT) Patna, Bihar, India, Ph.D. in Time Series Analysis, IIT Patna, 2017 – 2022

• National Institute of Technology (NIT), Durgapur, India, Masters in Technology, Cellular Automata, NIT Durgapur, 2014 – 2016

• Neeraj, U. Satija, and J. Mathew, R.K. Behera (2021): “A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram from Seismocardiogram Signal”, In IEEE Signal Processing Letters (SPL).
• Neeraj, V. Singhal, J. Mathew, and R.K. Behera (2021): “Detection of Alcoholism Using EEG Signals and a CNN-LSTM-ATTN Network”, In Elsevier Computers in Biology and Medicine (CIBM).
• Neeraj, J. Mathew, R. K. Behera (2021): “EMD-Att-LSTM: A Data- Driven strategy Combined with Deep Learning Framework for Short Term Power Load Forecasting”, In IEEE (SGEPRI) Journal of Modern Power System and Clean Energy (MPCE).
• Neeraj, V. Singhal, and J. Mathew (2021): “A Deep Learning Architecture for Spatio-Temporal Feature Extraction and Alcoholism Detection”, 17th IEEE-EMBS International Conference on Biomedical and Health Informatics (IEEE BHI’21).

• Neeraj, J. Mathew, M. Agarwal, R. K. Behera (2020): “Long Short Term Memory-Singular Spectrum Analysis based model for electric load forecasting”, In Springer Electrical Engineering.
• Neeraj, J. Mathew, and R. K. Behera (2020): “Power Load Forecasting Based on Long Short Term Memory-Singular Spectrum Analysis”, In Springer Energy Systems.

• Dr. Neeraj is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University École Centrale School of Engineering.

• Assistant Professor in GITAM University, Hyderabad from Feb- 2022 to Aug-2022
• Research cum Teaching Assistant, Indian Institute of Technology Patna (July 2017 to February 2022)
• FDP session at AICTE-ATAL Online FDP (Faculty Development Programme) on Signal Processing and Machine Learning for AI-Driven Healthcare Systems, Jun 2021
• AICTE FDP-2020 Department of Computer Science and Engineering, JNTUA College of Engineering, Anantapur, Dec 2020
• FDP session at DIT, RSET, Oct 2020
• THE PROCESSING OF ONLINE FDP AT IGIT SARANG, Jun 2020
• TA-ship in IITP-BSE PGCDABI course, Jun 2020 – Aug 2020

• Teaching Assistant, National Institute of Technology Durgapur (July 2014 to June 2016)

Current research interests in the areas of Data Science, Time Series Analysis, Data Visualization, Time Series Forecasting, Classification and generation, Adversarial Machine Learning.

• Developed an IoT based mobile app and website to capture the electric load consumption data using raspberry pi and serial modbus connection.
• Developed expertise in recording EEG signals for familiarity/non- familiarity detection of signals.
• Developed expertise in recording EEG signals for lie detection of signals.
• Studied the impact of attention in alcoholism detection network. Introduced two intelligent models for detecting alcoholism using time series classification.