Mohendra Roy
Pandit Deendayal Energy University, Nanyang Technological University, Korea University, Tezpur University, Indian Oil Corp Ltd
About
Mohendra Roy received his Ph.D. in Electronics and Information Engineering from Korea University, South Korea in the year of 2016. He did his masters in BioElectronics as well as physics from Tezpur University, India in the year of 2008 and 2006 respectively. Prior to his Ph.D., he worked in Indian Oil Corporation Limited as an Engineering Assistant. He received the Korea University achievement award, IEEE student paper award, the Best paper award from the Korean BioChip Society and Gold Medal from Tezpur University.
He was a postdoctoral research fellow at Delta-NTU corporate Lab of Nanyang Technological University Singapore from the year 2017 to 2019.
He is also playing the role of a reviewer of many reputed journals, such as Scientific Reports(by Nature), IEEE Sensors, Proceedings of IEEE, Optics Express, Journal of Tissue and cells, Biomedical Optics Express, Journal of mobile network and applications, MDPI Algorithms, MDPI Sensors. Dr. Roy also chaired the session for Computation Intelligence in Feature Analysis, Selection and Learning in Pattern Recognition tracks at the IEEE Symposium Series on Computational Intelligence 2018.
Currently, he is an assistant professor at Pandit Deendayal Petroleum University(PDPU), India. ( both in the department of Science as well as in Information and Communication Technology(ICT) )
Areas of Interest: Artificial Intelligence, Machine Learning, Physics of BioInspired Systems, BioPhotonics, Biomedical Imaging and processing
Lab webpage Link: https://sites.google.com/view/mohendraroylab/home?authuser=0
AWARDS AND HONORS:
[1] Korea University Graduate Achievement Award (February 2016), Korea University, South Korea.
[2] Best Researcher Award (Dec. 2015) by NBPL, Korea University, South Korea.
[3] IEEE Student Paper Award (Dec. 2014) by IEEE, Seoul section, Seoul, South Korea.
[4] Best Researcher Award (Dec. 2014), by NBPL, Korea University, South Korea.
[5] Outstanding Paper Award (Oct. 2014) by Biochip 2014 fall Conference, The Korean Biochip Society, Osong, South Korea.
[6] Gold medal(Dec. 2008) by Tezpur University.
PROFESSIONAL SERVICES:
[1] Session Chair, 2018 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018).
[2] Academic Mentor, Students Startup, and Innovation Policy, Govt of Gujarat.
[3] Reviewer of Nature Scientific Reports Journal, IEEE Sensors Journal, Biomedical Optics Express Journal, Optics Express journal, Journal of Tissue and Cells, Springer Mobile Networks and Applications Journal, Proceedings of IEEE, IEEE/ASME Transactions on Mechatronics, Optics and Lasers in Engineering, MDPI Algorithms, MDPI-Sensors.
Follow this Link for Review list: (https://publons.com/researcher/194879/dr-mohendra-roy/peer-review/ )
Employment
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Pandit Deendayal Energy University Assistant Professor2019 - Present
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Nanyang Technological University Post Doc2017 - 2019
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Indian Oil Corp Ltd Engineering Assistant2009 - 2011
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Indian Institute of Technology Guwahati Project Engineer2008 - 2009
Education
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Korea University PhD2011 - 2016
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Tezpur University Master of Technology2006 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (44)
- Interpreting Survival Predictor Model for Glioblastoma Using Explainable Artificial Intelligence Save
- Insights of BDAPbI4-Based Flexible Memristor for Artificial Synapses and In-Memory Computing Save
- Deriving and interpreting robust features for survival prediction of brain tumor patients Save
- ZnO Nanowall Network-Based Tactile/Gesture Sensors and Prediction with Machine Learning Save
- A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images Save
- Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering Save
- Interpretable machine learning model to predict survival days of malignant brain tumor patients Save
- Explainable AI in Healthcare Save
- Interpretability of Segmentation and Overall Survival for Brain Tumors Save
- Machine Learning Based Lens-Free Shadow Imaging Technique for Field-Portable Cytometry Save