Dr. Sumit Tripathi is a highly accomplished professional with 15 years of experience in research and academics, coupled with a strong academic background and a wealth of expertise in the field of artificial intelligence. Holding a Ph.D. from the prestigious Indian Institute of Technology (BHU), Dr. Tripathi further honed his skills and expanded his knowledge through a postdoctoral research position at Linköping University in Sweden. Specializing in cutting-edge areas such as Artificial Intelligence, computer vision, deep learning, machine learning, and generative AI, Dr. Tripathi has made significant contributions to the field over the course of his extensive career. His research has been disseminated through numerous publications in well-regarded scientific indexed journals and presented at prestigious conferences worldwide. Dr. Tripathi has not only demonstrated a commitment to advancing the field through academic contributions but has also translated his ideas into practical applications, filing patents that reflect his innovative thinking.
In addition to his research endeavors, Dr. Tripathi brings a wealth of experience to academia, having spent 15 years dedicated to research and teaching. He has also authored a book on artificial intelligence, showcasing his ability to communicate complex concepts to a wider audience. This multifaceted approach to academia and industry demonstrates Dr. Tripathi's commitment to bridging the gap between theoretical advancements and real-world applications in the rapidly evolving field of AI.
 

• Sumit Tripathi (2023), Magnetic Resonance Image Denoising Using a Dual-Channel Discriminative Denoising Network. Journal: Biomedical Engineering: Applications, Basis and Communication (SCI Indexed).
   
• Sumit Tripathi, Neeraj Sharma (2023), Automatic Detection of COVID-19 and Viral Pneumonia in X-Ray Images Using Deep Learning Approach. Journal: Biomedical Engineering: Applications, Basis and Communication (SCI Indexed).
   
• Sumit Tripathi, Alok Tiwari, Dinesh Chandra Pandey, Neeraj Sharma and Shiru Sharma (2022), Detection of COVID-19 Infection in CT and 2 X-ray images using transfer learning 3 approach. Journal:Technology and health (SCI Indexed).
   
• Sumit Tripathi, Neeraj Sharma (2021), Computer-Based Segmentation of Cancerous Tissues in Biomedical Images using Enhanced Deep Learning Model. Journal: IETE Technical Reviews (SCI Indexed)
   
• Sumit Tripathi, Taresh Sarvesh Sharan, Shiru Sharma, Neeraj Sharma (2021), Encoder Modified U-Net and Feature Pyramid Network for Multi-class Segmentation of Cardiac Magnetic Resonance Images. Journal: IETE Technical Reviews (SCI Indexed)
   
• Sumit Tripathi, Neeraj Sharma (2021), Computer-aided Automatic Approach for Denoising of Magnetic Resonance Images. Journal: Computer Methods in Biomechanics and Biomedical Engineering (SCI Indexed).
   
• Sumit Tripathi, Taresh Sarvesh Sharan, Shiru Sharma, Neeraj Sharma (2021), An Augmented Deep Learning Network with Noise Suppression feature for Efficient Segmentation of Magnetic Resonance Images. Journal: IETE Technical Reviews (SCI Indexed)
   
• Sumit Tripathi, Neeraj Sharma (2021), Denoising of Magnetic Resonance Images Using Discriminative Learning-Based Deep Convolutional Neural Network. Journal:Technology and health (SCI Indexed).
   
• Sumit Tripathi, Ashish Verma, Neeraj Sharma (2020), Automatic segmentation of brain tumor in MR images using an enhanced deep learning approach. Journal: Computer Methods in Biomechanics and Biomedical Engineering (SCI Indexed).

• Sumit Tripathi, Dinesh Chandra Pandey (2022), Discriminative Learning Based Dual Channel Denoising Network For Removal of Noise from MR Images. IEEE 10th International Conference on Emerging Trends in Engineering & Technology Signal and Information Processing (ICETET-SIP-22). (Scopus Indexed)
   
• Sumit Tripathi, Neeraj Sharma (2021), Segmentation of Brain Tumor in MR Images Using Modified Deep Learning Network. International  Conference on Smart Computing and Communication (IEEE-ICSSC 2021) (Scopus Indexed)
   
• Sumit Tripathi, Ashish Verma, Neeraj Sharma (2020), Augmented Deep Learning Architecture to Effectively Segment the Cancerous Regions in Biomedical Images. Conference: International Symposium on Sustainable Energy, Signal Processing & Cyber Security (IEEE- ISSSC 2020) (Scopus Indexed)
   
• Sumit Tripathi, Rishi Prakash, Neha Melkani, Sachin Kumar (2015), Study Of Bayes Theorem for classification of synthetic aperture radar data.  International Conference on Advances in Computing and Communication Engineering. (IEEE-ICAT2015) (Scopus Indexed)
   
• Manoj Kumar, Sumit Tripathi, Anurag Vidyarthi, Sribidhya Mohanty, R. Gowri (2011), Various PSK modulation schemes for wireless communication. 2nd International Conference on Computer and Communication Technology (IEEE-ICCT 2011) (Scopus Indexed)
   
• R Gowri, S Mohanty, A Vidyarthi, Sumit Tripathi (2011), Characterization of various coplanar waveguide discontinuities. 2011 IEEE International Conference on Microwave Technology & Computational Electromagnetics.(IEEE-ICMTCE-2011) (Scopus Indexed)
   
• Anurag Vidyarthi, Sribidhya Mohanty, Sumit Tripathi, Ravi Gowri, B.S. Jassal (2013), Analysis of Multi-layered Microstrip Patch Antenna. Proceedings of the Conference on Advances in Communication and Control Systems-2013.
   
• Sumit Tripathi, Manoj Kumar, R. Gowri (2011), Review of DWDM Technology Development and its future aspects. (TSPC 2011) 
   
• Manoj Kumar, Sumit Tripathi (2011),  Exponential growth of DWDM system in premises network.(NCRA-MTDCS,2011)
   
• Sumit Tripathi, Manoj Kumar (2011), Review of Designing and Operation of WDM Transport Network.(ICRTETM,2011)

• Title: “A SYSTEM OF NOISY MAGNETIC RESONANCE IMAGES SEGMENTATION AND RECOGNITION AND METHOD THEREOF”, published on 12/11/2021.
   
• Title: “A SYSTEM AND METHOD OF DENOISING MRI IMAGES USING A DUAL CHANNEL DENOISER” published on 14/01/2022.
   

Title: “Impact of Artificial Intelligence on Society” ,Taylor & Francis group.