Dr. Suraj Patil

Awards & Achievements

• Awarded First Prize in the International Paper Presentation for the topic “Improved Salp Swarm Optimization-Based Fuzzy Centroid Region Growing for Liver Tumor Segmentation and Deep Learning-Oriented Classification,” presented at the 2nd International Conference on Innovative Computing and Applications (ICICA22) held at Shri Ramdeobaba College of Engineering and Management, Nagpur, India.
• Successfully passed the “SAS Base 9.0” global certification exam and became a certified SAS faculty member for the SAS Business Analyst certification.
• Successfully passed the “SAS Visual Analytics” global certification exam and became a certified SAS faculty member for the SAS Business Analyst certification.
• Successfully completed certification of Python Programming through “INFYTQ Platform” with A+ grade, conducted by Infosys Pvt Ltd.
Patent/Copywrite
• Copyright on software application entitle Shallow CNN Hyperparameter Algorithm with Diary No 23732/2023-CO/IL, 2023.

Funded Project

Successfully completed a funded project under the Seed Grant Scheme of SVKM’s NMIMS University in 2018, titled “Design of Software Robot for Online Fraud Detection Using Machine Learning and Big Data Analytics.”

Workshop Conducted:

• Delivered expert talk on Industrial PLC in the 10 days training program for the Graduate Engineering Trainees of Welspun Syntex Limited, Silvassa during 05 July 2016 to 15 July 2016.
• Successfully conducted workshop for students for preparation SAS Base 9.0 global certification exam.

Selected Publications

• Suraj Patil, Dnyaneshwar K. Kirange, “A Novel Hybrid U-Net with Custom Triplet Flatten Loss Function For Liver Lesion Detection”, International Journal of Computer Theory and Engineering, UGC Approved Scopus Index Journal, ISSN:1793-8201, IJCTE 2023 Vol.15(2):82-89, May 2023, DOI: http://dx.doi.org/10.7763/IJCTE.2023.V15.1335
• Suraj Patil, Dnyaneshwar K. Kirange, “An Optimized Deep Learning Model With Feature Fusion For Brain Tumor Detection”, International Journal of Next-Generation Computing, UGC Approved Web of Science ESCI, Vol 14, 1 Feb 2023, DOI: https://doi.org/10.47164/ijngc.v14i1.1032
• Suraj Patil, Dnyaneshwar K. Kirange, “Improved Salp Swarm Optimization-based Fuzzy Centroid Region Growing for Liver Tumor Segmentation and Deep Learning-Oriented Classification”, International Journal of Next-Generation Computing (IJNGC), Vol 14, 2 April 2022, DOI: http://doi.org/10.47164/ijngc.v13i5.902
• Suraj Patil, Dnyaneshwar K. Kirange, “Ensemble of Deep Learning Model for Brain Tumor Detection”, International Conference on Machine Learning and Data Engineering (ICMLDE-2022), Procedia Computer Science, Elsevier, Scopus Index, Vol. 218, 2023, Pages: 2468-2479, DOI: https://doi.org/10.1016/j.procs.2023.01.222
• Suraj Patil, Dnyaneshwar K. Kirange, “A Survey on Deep Learning Methods for Brain Tumor and Liver Lesion Detection”, International Conference on Global Entrepreneurship Trends and Empowerment Through Innovation (ICGETEI-2021), Advances in Intelligent Applications and Innovative Approach, Scopus Index, 2023, DOI: https://doi.org/10.1063/5.0148981
• Vaishnavi Jariwala, Suraj Patil, Dhananjay Joshi, “Predicting COVID-19 using Deep Learning: A Comparative Study”, Procedia of Congress on Intelligent System, Scopus Index, Sep 2023, DOI: https://doi.org/10.56155/978-81-955020-2-8-18
• Suraj Patil, Dnyaneshwar K. Kirange, Varsha Nemade, “Predictive Modelling of Brain Tumor Detection Using Deep Learning”, Journal of Critical Reviews, Scopus Index, Vol-7 Issue 4, 2020.
• Vraj Shah, Karan Dev, Aman Agarwal, Suraj Patil, “Foster Hash Tag from Image and Text”, International Research Journal of Engineering and Technology (IRJET), Volume 6 Issue 2, March 2019.
• Suraj Patil, Varsha Nemade, Piyush Kumar Soni, “Predictive Modelling for Credit Card Fraud Detection Using Data Analytics”, Procedia Computer Science, Elsevier, May 2018.
• Varsha Nemade, Suraj Patil, “Various Techniques for Detection of Plant”, International Journal of Mechanical and Production Engineering, Special Issue, 20-25, Aug 2018.
• Suraj Patil, “Modified Path Traversal for an Efficient Web Navigation Mining”, IEEE International Conference on Advanced Communication, Control & Computing Technologies (ICACCCT), 2014.
• Suraj Patil, “Dynamic Resource Provisioning in Cloud Computing Environment Using Priority Based Virtual Machine”, International Conference on Advance Communication Control and Computing Technologies, 2014.
• Suraj Patil, T. M. Patewar, “Efficient Mining and Hiding of Sensitive Rules”, IEEE Explore, Third Nirma University International Conference on Engineering (NUICONE-2012), Dec 2012.
• NandhaKishore Borse, Suraj Patil, Nihit Agarwal, “Survey on a Personalized Ontology Model for Web Information Gathering”, International Journal of Science and Research (IJSR), Vol-3, Issue 5, May 2014.
• Suraj Patil, “The Novel Approach for Improving Apriori Algorithm for Mining Association Rule”, Proceedings of National Conference on “Emerging Trends in Computer Technology” (NCETCT-2012), Shirpur, Dhule, 2012.

Seminars/ Workshops/ Conferences Presented.

• Presented in International Conference on Machine Learning and Data Engineering (ICMLDE-2022), held at University of Petroleum and Energy Studies, Dehradun, India.
• Presented in  2^nd International Conference on Innovative Computing and Applications (ICICA22), held at Shri Ramdeobaba College of Engineering and Management, Nagpur, India,
• Presented in International Conference on Machine Learning and Data Engineering (ICMLDE-2018), held at University of Petroleum and Energy Studies, Dehradun, India.
• Presented in 3^rd Nirma University International Conference on Engineering NUICONE-2012, NIRMA University, India.

FDPs/ MOOCs/Coursera Certifications: (Please include only FDP/Refresher courses/MOOCS)

• Successfully completed AICTE training and learning (ATAL) Academy Faculty Development Program on Research and Innovation Trends in Large Language Models at Dwarkadas j Sanghvi College of Engineering from 20/01/2025 to 25/01/2025.
• Successfully completed AICTE training and learning (ATAL) Academy Faculty Development Program on Statistics for Industrial Data Analysis at Vishwakarma Institute of Technology from 13/01/2025 to 18/01/2025.
• Successfully completed One Week ISTE approved Online Faculty Development Program on Innovative Approaches of Artificial Intelligence and Machine Learning for Healthcare and Agriculture during 30 Sep 2024 to 4 October 2024.
• Attended FDP in Advances in Computing Organized by Kavayitri Bahinabai Chaudhari North Maharashtra University, 2-3 March 2023.
• Successfully completed FDP on Artificial Intelligence Organized by All India Council Technical Education (AICTE) from 23-11-2023 to 27-11-2023, New Delhi.
• Attended FDP on Research Trends in Medical Imaging Organized by Department of Computer Engineering, Singhgad Technical Education Society, Pune from 5^th Oct to 10 Oct 2023.
• Attended FDP in Future Trends in Bio Medical Engineering Organized by SVKMS NMIMS MPSTME, Mumbai, 8-12-2023 to 14-12-2021.
• Attended AICTE-ISTE approved Orientation/Refresher Program on Future Trends in Bio Medical Engineering held during 08-12-2021 to 14-12.2021 Organized by SVKM’s NMIMS Mukesh Patel School of Technology Management and Engineering, Mumbai, Maharashtra.
• Completed 1 Week FDP certification program on Machine Learning and Data Analytics using Python organized by IIT Roorke,6 May-14May 2020.
• Completed 8 Week FDP program on Data Mining under NPTEL IIT, Kharagpur, 2018.
• Completed workshop on Data Analytics and Machine Learning on May 29-June 2, 2017 in MNNIT Allahabad.
• Successfully completed workshop 0x of ICT organized by IIT Bombay under MHRD in 2017.
• Successfully completed work of DBMS under National Mission on Education through MHRS IIT in 2013.
• Successfully completed Convolutional Neural Networks an online non-credit course authorized by DeepLearning.AI and offered through Coursera.
• Successfully completed Assessment for Learning an online non-credit course authorized by University of Illinois at Urbana-Champaign and offered through Coursera.
• Successfully completed Detecting COVID-19 with Chest X-ray using PyTorch an online non-credit course offered through Coursera Project Network.
• Successfully completed Learning to Teach Online an online non-credit course authorized by UNSW Sydney (The University of New SouthWales) and offered through Coursera.