Deepika Koundal
University of Eastern Finland, Ho Chi Minh City Open University, Panjab University Faculty of Science, Panjab University, University of Petroleum and Energy Studies
0000-0003-1688-8772
About
Dr. Deepika Koundal is currently serves as a Senior Researcher at the University of Eastern Finland, specializing in artificial intelligence, computer vision, medical image processing, neuroimaging and deep learning. She holds a B.Tech, M.Tech, and Ph.D. in Computer Science and Engineering and has received several prestigious accolades, including the MSCA Seal of Excellence from the European Commission. Recognized as a top 2% researcher by Stanford University in 2023 and 2024. She is also an Adjunct Researcher at Ho Chi Minh City Open University in Vietnam, and a Senior Associate Professor at UPES, Dehradun, India. She has earned multiple research excellence awards from UPES and has published numerous research articles, edited notable books, and holds several patents. Additionally, she contributes as a guest and associate editor for leading journals, including IEEE and Elsevier.
Employment
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University of Eastern Finland2024 - Present
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Ho Chi Minh City Open University Adjunct Researcher2023 - Present
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University of Petroleum and Energy Studies Associate professor2019 - Present
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Chitkara University2016 - 2019
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National Institute of Technology Hamirpur2014 - 2015
Education
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Panjab University Faculty of Science PhD2011 - 2016
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Panjab University MTech2007 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (158)
- CMRRL-Net: Cross-Modal Reconstruction Residual Learning for Audio–Visual Deepfake Detection Save
- EDCCN: A benchmark encoder-decoder framework for accurate crowd counting Save
- Generative Adversarial Networks (GANs) for Medical Image Processing: Recent Advancements Save
- Learning Models in Crowd Analysis: A Review Save
- Using Hybrid Transformer and Convolutional Neural Network for Malware Detection in Internet of Things Save
- A MaskFormer EfficientNet instance segmentation approach for crowd counting Save
- A New Approach to Automatic Epilepsy Detection from EEG Signals Using Archimedean Spiral and Swin Transformer Save
- Challenges and opportunities for empirical research on data analytics in supply chain management Save
- Deep Ensemble Learning using Transfer Learning for Food Classification Save
- Deep learning model for early acute lymphoblastic leukemia detection using microscopic images Save