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Dr. Deepti Barhate

Assistant Professor
Ph.D. (Computer Engineering), M. Tech. (Computer Engineering), B. E. (Computer Engineering)

basant-mohanty

Areas of Specialization  

  • ·Machine Learning

  • UI/UX

  • Distributed Computing

 

Work Experience: (9+) 

  • Since Jul 2011 (Teaching)

 

Publications & Presentations:

 

International Journal papers


           1. Barhate D, Pathak S, Dubey AK. Hyperparameter-tuned batch-updated stochastic gradient descent: Plant species identification by using hybrid deep learning. Ecol Inform. 2023 Jul 1;75:102094.

           2. Nemade V, Pathak S, Dubey AK, Barhate D. A review and computational analysis of breast cancer using different machine learning techniques. Int J Emerg Technol Adv Eng. 2022;12(3):111-8.

           3. Barhate D, Pathak S, Dubey AK. A deep learning methodology for plant species recognition using morphology of leaves. ASEAN Eng J. 2023 Oct 24;13(4):95-102.

           4. Jain A, Khandelwal R, Khandelwal S, Barhate D. Reception secure authentication.

           5. Jhala D, Jariwala U, Barhate D. Review on smart supply chain management using IoT and machine learning. Int J Innov Res Sci Eng Technol. 2019;42.

           6. Paper on career guidance using online aptitude test. Int J Sci Res Dev. 2020 April; ISSN 2321-0613.

           7. Entitled paper "Analysis of Watermarked Video Data for Authentication, Authorization and Data Protection” is published in Int J Adv Res Eng Manag. 2017;3(2):43-48. ISSN: 2456-2033.

           8. Entitled paper "An Approach Towards Mining of Comparable Entity with the Use of Comparative Question” is presented in Int J Futur Res. 2014 Nov 26;2(3):IJIFR/V2/E3/036. ISSN (Online): 2347-1697.

           9. Entitled paper "Mining of Comparable Entity with the Use of Comparative Question” is presented in Int J Eng Res Gen Sci. 2015 Jul-Aug;3(4):ISSN 2091-2730.


 International Conferences

 

          1. Barhate D, Rane K, Nemade V. BLOSSOM NET: Advancements In Deep CNN For Automated Floral Recognition. Feb 2024, ICDTV 20230 Shirpur

          2. Nemade V, Fegade V, Barhate D. Deep Learning For Detection and Classification of Rice Variety. Feb 2024, ICDTV 20230 Shirpur

          3. Barhate D, Pathak S, Dubey AK, Nemade V. Cohort Study on Recognition of Plant Species Using Deep Learning Methods. In Journal of Physics: Conference Series, 2022 May 1 (Vol. 2273, No. 1, p. 012006). IOP 

              Publishing

          4. Barhate DA, Rane KP. A Survey of Fingertip Character Identification in Open-Air Using Image Processing and HCI. In 2018 3rd International Conference for Convergence in Technology (I2CT), 2018 Apr 6 (pp. 1-4). 

               EEE

          5. Barhate D, Nemade V. Comprehensive Study on Automated Image Detection by Using Robotics for Agriculture Applications. In 2019 3rd International Conference on Electronics, Communication and Aerospace 

               Technology (ICECA), 2019 Jun 12 (pp. 637-641). IEEE

          6. Nemade V, Pathak S, Dubey AK, Barhate D. Breast Mass Classification Using Convolutional Neural Network. In Intelligent System Design: Proceedings of INDIA 2022, 2022 Oct 28 (pp. 85-93). Springer Nature 

              Singapore

          7. Jhala D, Ghosh S, Pathak A, Barhate D. Predicting Embryo Viability to Improve the Success Rate of Implantation in IVF Procedure: An AI-based Prospective Cohort Study. In Computational Vision and Bio-Inspired 

               Computing: ICCVBIC 2020, 2021 (pp. 383-400). Springer Singapore

          8. Barhate D, Pathak S, Dubey AK, Nemade V. DeepLeaf: Analysis of Plant Leaves Using Deep Learning. In Intelligent System Design: Proceedings of INDIA 2022, 2022 Oct 28 (pp. 115-123). Springer Nature 

              Singapore

          9. Jhala D, Pathak A, Ghosh S, Barhate D. Predicting Chances of Live Birth in IVF Procedure Based on Day 3 Embryo Analysis and Patient Characteristics. In 2021 International Conference on Disruptive  

              Technologies for Multi-Disciplinary Research and Applications (CENTCON), 2021 Nov 19 (Vol. 1, pp. 23-26). IEEE

          10. Barhate D, Nemade V. Comprehensive Study on Automated Image Detection by Using Robotics for Agriculture Applications. In 2019 3rd International Conference on Electronics, Communication and Aerospace 

                Technology (ICECA), RVS Technical Campus, Tamilnadu, pp. 637-641. IEEE, 2019

          11. Nemade V, Patil S, Barhate D. Various Techniques for Detection of Plant Diseases Using Data Mining Techniques. International Journal of Mechanical and Production Engineering Research and Development 

                (IJMPERD), ISSN (P): 2249-6890; ISSN (E): 2249-8001, Special Issue, Aug 2018, pp. 20-25

          12. Barhate DA, Rane KP. A Survey on Fingertip Motion Detection in Air Using Image Processing and HCI. In 2018 3rd International Conference for Convergence in Technology (I2CT), Pune, April 2018, IEEE 

                 conference, Scopus indexed

          13. Attended 2 days International Conference on "Artificial Intelligence in Health Care," SPTP, SVKM’s NMIMS, Shirpur, Dec 2016-17

          14. Barhate D. An Approach Towards Mining of Comparable Entity with the Use of Comparative Question. Presented in Fourth Post Graduate Symposium on Computer Engineering (cPGCON2015), organized by  

                Department of Computer Engineering, MET’s Bhujbal Knowledge City, Nasik, held on 13th and 14th March 2015


 

National Conferences

  1. Entitled Paper "Zip it up SMS path breaking model in mobile messaging” is presented in national conference on advanced computer network Organized by ,SKN Singhgad institute of technology and science lonavala, held on 17th and 18th FEB 2015
  1. Entitled Paper "E-plant identifier” is published in national conference on Advanced Computer Network Organized by ,SKN Singhgad institute of technology and science lonavala, held on 17th and 18th FEB 2015
  1. Attended 2 days’ conference on "Post Graduate Symposium on Computer Engineering cPGCON2014” Organized by department of Computer Engineering, Matoshri college Nasik

 

Seminars/ Workshops Attended

  • Data Visualization and Dashboards with Excel and Cognos, NA, May 7, 2024, Coursera Project Network
  • Computer Networks And Internet Protocol, 12 weeks, April 20, 2024, NPTEL
  • Deep Learning with PyTorch: Image Segmentation, NA, February 10, 2024, Coursera Project Network
  • Design a Mobile App Interface with Moqups, NA, January 23, 2024, Coursera Project Network
  • Work with Components in Figma, NA, January 11, 2024, Coursera Project Network
  • Basic Image Classification with TensorFlow, NA, November 2023, Coursera Project Network
  • The Bits and Bytes of Computer Networking, 6 weeks, October 2, 2022, Google
  • Car Transport App in Figma, NA, December 7, 2022, Coursera Project Network
  • Python Basics, 5 weeks, July 4, 2022, University of Michigan
  • Excel Basics for Data Analysis, 5 weeks, June 9, 2022, IBM
  • Introduction to Data Analysis Using Excel, 4 weeks, April 11, 2022, Rice University
  • HTML, CSS, and JavaScript for Web Developers, 8 weeks, February 9, 2022, Johns Hopkins University
  • Introduction to Data Analytics, 5 weeks, December 23, 2021, IBM
  • Introduction to Artificial Intelligence (AI), 8 weeks, January 8, 2021, IBM
  • Programming for Everybody, 8 weeks, May 19, 2020, University of Michigan
  • User-centric Computing for Human-Computer Interaction, 8 weeks, January-March 2020, NPTEL IIT Kharagpur
  • AICTE Training And Learning (ATAL) Academy Online Elementary FDP on "Object Detection and Recognition Using Deep Learning Techniques" from KL Deemed to be University, off campus, 5 days, 08/11/2021 to 12/11/2021, AICTE Training And Learning (ATAL) at KL Deemed to be University, off campus
  • AICTE ATAL FDP on "Data Sciences" from Hindusthan College of Engineering and Technology, 5 days, 2020-11-02 to 2020-11-06, AICTE Training And Learning (ATAL) Hindusthan College of Engineering and Technology
  • Certified FDP by Coursera on Programming for Everybody (Getting Started with Python) 4 week.
  • Certified FDP by Courseraon Python Data Structures
  • Certified FDP by Courseraon COVID-19 Contact Tracing
  • Spoken Tutorial on R Programming organized by Galgotia’s University In January2020 semester, Spoken Tutorial Project, IIT Bombay, funded by the National Mission on Education through ICT, MHRD, Govt. of India.
  • FDP on "Machine Learning and data Analysis Using Python”, conducted by Electronics and ICT academy, IIT Roorkee From 6 th May-14 th May 2020(online live instructor-led)
  • NPTEL :-Human Computer interaction April 2020, 8 weeks
  • NPTEL: Software Engineering Sept 2019, 8 weeks
  • NPTEL: Introduction to soft computing "March ,12 weeks .
  • Conducted 1 day LATEX workshop in SVKM NMIMS for Faculty
  • Attended 1 day workshop on language conducted by word worth language lab organized by SVKM’s NMIMS Shirpur on 19 and 20 Dec 2016
  • 2 days workshop on Pedagogy in GIT ,lavel,khed 2015-16 .
  • 3 day FDP -Faculty Development Programme organized by G.H.Raisoni ,Jalgoan.

 

Official Email Id

deepti.barhate@nmims.edu

 

           
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