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Dr. Nageshwar Nath Pandey

Dr. Nageshwar Nath Pandey

Designation Associate Professor
School Anand School of Engineering & Technology
Department Computer Science & Engineering (CSE)
E-mail nageshwar.pandey@agra.sharda.ac.in
About

Dr. Nageshwar Nath Pandey is an Associate Professor in Computer Science & Engineering department at “Anand School of Engineering & Technology”. Prior joining to Sharda University, he was working with Siksha 'O' Anusandhan University, Bhubaneswar, Odisha (A Deem to be University with NIRF 14). He has obtained his most recent degree, PhD (Artificial Intelligence and Machine Learning) from National Institute of Technology. Silchar, Assam in 2022. He has more than 11 years of teaching experience. He has published many SCI/SCIE-indexed research papers in Q1/Q2 Journals.

Experience

11+ Years

Qualification
  • Ph.D. (National Institute Of Technology, Silchar, Assam),
  • M.Tech,
  • B.Tech.
Award & Recognition

Secured 98.5 percentile in UGC-NET (Computer Science & Applications), December 2019

Research

Journal Publications

  1. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "Dumodds: Dual modeling approach for drowsiness detection based on spatial and spatio-temporal features." Engineering Applications of Artificial Intelligence (Elsevier), 2023. DOI: 10.1016/j.engappai.2022.105759. Q1, IF: 8.0.
  2. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "A novel drowsiness detection model using composite features of head, eye, and facial expression." Neural Computing and Applications (Springer), 2022. DOI: 10.1007/s00521-022-07209-1. Q1, IF: 6.0.
  3. Pandey, Nageshwar Nath, Avadh Pati, and Ritesh Maurya. "DriSm-YNet: Real-time recognition of driver smoking behavior using YOLO-NAS." Neural Computing and Applications (Springer), 2024. DOI: 10.1007/s00521-024-10162-w. Q1, IF: 6.0.
  4. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "Temporal and spatial feature-based approaches in drowsiness detection using deep learning technique." Journal of Real-Time Image Processing (Springer), 2021. DOI: 10.1007/s11042-022-13150-1. Q2, IF: 3.0.
  5. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "A survey on visual and non-visual features in driver's drowsiness detection." Multimedia Tools and Applications (Springer), 2022. DOI: 10.1007/s11042-022-13150-1. Q1, IF: 3.6.
  6. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "A novel algorithmic approach of open eye analysis for drowsiness detection." International Journal of Information Technology (Springer), 2021. DOI: 10.1007/s41870-021-00811-x. SCOPUS.
  7. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "Strabismus free gaze detection system for drivers using deep learning technique." Progress in Artificial Intelligence (Springer), 2023. DOI: 10.1007/s13748-023-00296-8. IF: 2.7.
  8. Pandey, Nageshwar Nath, Khalid, A. "Advance Algorithmic Approach for Face Recognition." International Journal of Latest Trends in Engineering and Technology (IJLTET), 2014. ISSN: 2278-621X.
  9. Maurya, Ritesh, Pandey, Nageshwar Nath, Mohan Karnati, Geet Sahu. "Breaking Barriers in Cancer Diagnosis: Super-Light Compact Convolution Transformer for Colon and Lung Cancer Detection." International Journal of Imaging Systems and Technology (Wiley), 2024. DOI: 10.1002/ima.22954. Q1, IF: 3.30.
  10. Maurya, Ritesh, Pandey, Nageshwar Nath, Malay Kishore Dutta. "VisionCervix: Papanicolaou cervical smears classification using novel CNN-Vision ensemble approach." Biomedical Signal Processing and Control (Elsevier), 2023. DOI: 10.1016/j.bspc.2022.104156. Q1, IF: 5.07.
  11. Maurya, Ritesh, Pandey, Nageshwar Nath, Malay Kishore Dutta, Mohan Karnati. "MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images." International Journal of Imaging System and Technology (Wiley), 2023. DOI: 10.1002/ima.22954. Q1, IF: 3.30.
  12. Maurya, Ritesh, Pandey, Nageshwar Nath, Malay Kishore Dutta. "FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach." Biomedical Signal Processing and Control (Elsevier), 2024. Q1, IF: 5.10.
  13. Maurya, Ritesh, et al., including Pandey, Nageshwar Nath. "Skin cancer detection through attention-guided dual autoencoder approach with extreme learning machine." Scientific Reports (Nature), 2024. DOI: 10.1038/s41598-024-68749-1. Q1, IF: 3.80.

Conference Publications

  1. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "Real-time drowsiness identification based on eye state analysis." International Conference on Artificial Intelligence and Smart Systems (ICAIS-2021), IEEE, 2021. DOI: 10.1109/ICAIS50930.2021.9395975.
  2. Pandey, Nageshwar Nath, Naresh Babu Muppalaneni. "Driver Distraction Identification using Multiple Machine Learning Approaches." 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA-2021), IEEE, 2021. DOI: 10.1109/ICCICA52458.2021.9697193.
  3. Maurya, R., Pandey, N. N., Singh, V. P., Gopalakrishnan, T. "Plant Disease Classification using Interpretable Vision Transformer Network." REEDCON 2023, IEEE.
  4. Maurya, Ritesh, Pandey, Nageshwar Nath, et al. "Skin Lesion Classification using Deep Feature Fusion and Selection Using XGBoost Classifier." SCEECS 2024, IEEE.
  5. Maurya, Ritesh, Pandey, Nageshwar Nath, et al. "Enhancing Deep Neural Network Convergence and Performance: A Hybrid Activation Function Approach by Combining ReLU and ELU Activation Function." ICI 2023, IEEE.

Certifications

  • 1-week faculty development Program on Cyber Security and Data Sciences, Con- ducted by Pandit Madan Mohan Malviya National Mission on Teachers and Teaching (PMMMNMTT), 14 October 2019 - 19 October 2019.
  • 1-week international faculty development Program on ”Machine Learning and Computer Vision: Applications, Research Challenges (MLCV 2020)”, and Orga- nizers: NIT, Silchar and Gauhati University Assam, August 24-28, 2020.
  • 1-week AICTE faculty development Program on ”Research Avenues in Machine- Learning and AI for Societal Issues” during 14th to 18th March 2022 organized by NIT Silchar

Area of Interest

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Image & Video Processing
  • Natural Language Processing