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Gaurav Agarwal

Dr. Gaurav Agarwal

Associate Professor & Program co-Chair, II Year CSE · Computer Science & Engineering
Author
APID
5846
Scopus
https://www.scopus.com/authid/detail.uri?authorId=57213851972
Google Scholar
https://scholar.google.com/citations?user=289G7jIAAAAJ&hl=en
Location
Gr. Noida, Uttar Pradesh, India
Expertise
Machine Learning, Nature Based Optimization and Digital Signal Processing
Areas of interest
Machine Learning, Nature Based Optimization and Digital Signal Processing
Member since
February 2024

Biography

Gaurav Agarwal received his Ph.D in Computer science of Engineering in 2022 from Indian institute of technology (Indian School of Mines), Dhanbad. He had also worked as Senior faculty research fellow at IIT Delhi in 2015. Since September 2023, he has been with the school of computing science & engineering as an Associate Professor and Program Co Chair, B. Tech CSE II Year, at Galgotias University, Greater University, India. He has more than 21 years of academic experience. He has worked as Associate Head and Academic Head for almost eight years. He has also worked as Central NBA Coordinator from 2018 to 2022. He is life member of International Association of Computer Science and Information Technolgy (IACSIT), Indian Society for Technical Education (ISTE), Soft Computing Research Society (SCRS), Institute of Electrical and Electronics Engineers (IEEE) and Vijnana Bharati (VIBHA). He was the recipient of Young Investigator Award by Interscience Research Network (IRNet), Orissa, Vocational Award, Rotary International U.S.A. and The Rotary Foundation award for outstanding service for world understanding and peace. He has contributed more than forty-two research papers in several International and National journals and conference proceedings of high repute. He has also filed 8 Indian patents out of which 6 has been granted. His main areas of research interest are Speech Signal Processing, Genetic Algorithms and Web Search Engines.

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Publications

  1. A learning framework of modified deep recurrent neural network for classification and recognition of voice mood
  2. An effective fuzzy based segmentation and twin attention based convolutional gated recurrent network for skin cancer detection
  3. Depression detection using cascaded attention based deep learning framework using speech data
  4. Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment
  5. Hybrid fuzzy-based Deep Remora Reinforcement Learning Based Task Scheduling in Heterogeneous Multicore-processor
  6. Multiprocessor task scheduling using multi objective hybrid genetic algorithm in fog cloud computing