Mr. Sanket Kachole | Computer Vision | Best Researcher Award

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Mr. Sanket Kachole | Computer Vision | Best Researcher Award

Mr. Sanket Kachole, Kingston University, United Kingdom

āœØ Mr. Sanket Kachole is a seasoned researcher and data scientist with a rich background in neuromorphic vision and robotics. His Ph.D. journey was marked by expertise in data collection, annotation, and advanced model training, evident in his publications on Generative Neural Networks, Transformers, Multi-modal networks, Graph Neural Networks, and Spiking Neural Networks. From a Research Assistant at Kingston University to a Data Scientist at Santander Group, Sanket has consistently driven innovation using machine learning, computer vision, and NLP. His accolades include the prestigious Best Paper award at a CVPR workshop, highlighting his impactful contributions to the field. šŸ§ šŸ¤–

šŸŽ“Education :Ā 

šŸ“š Sanket Kachole is a trailblazer in the field of Artificial Intelligence, having pursued his Ph.D. in the subject at Kingston University, United Kingdom, from 2020 to 2023. His doctoral research delved into the realm of neuromorphic vision systems, with a focus on advancing autonomous perception in robotics. The culmination of his academic journey showcased in his thesis titled “Advancing Autonomous Perception in Robotics through Neuromorphic Vision Systems.” Prior to his Ph.D., Sanket earned his M.Sc. in Advanced Engineering from Kingston University (2017ā€“2019), where his dissertation explored a computer vision approach to monitoring the activity and well-being of honeybees. šŸŽ“šŸ¤–šŸ

šŸŒ Professional Profiles :Ā 

Google Scholar

Linkedin

šŸ† Awards and Achievement :

šŸŒ Sanket Kachole’s stellar career is punctuated by noteworthy achievements and accolades. In 2023, he clinched the prestigious Best Paper Award at the CVPR Event based Vision Workshop in Vancouver, Canada, showcasing his outstanding contributions to the field. His adept presentation skills were further recognized with the Best Oral Presentation Award at the ECE Conference hosted by Kingston University. Sanket’s commitment to cutting-edge research has been acknowledged through significant funding awards, including the Distinguished Research Achievement and Funding Award, as well as the Faculty Research Student Conference and Training Fund, both bestowed by Kingston University. šŸ†šŸ“„šŸ’”

šŸ§  Research Interests šŸ”¬šŸŒ :

šŸ”¬ Sanket Kachole’s passion lies at the intersection of cutting-edge technologies, with a primary focus on Artificial Intelligence, Robotics, Computer Vision, and Machine Learning. His research interests reflect a dynamic exploration of the realms where intelligent systems and computational algorithms converge, driving innovation in fields crucial to the future. šŸ¤–šŸ‘ļøā€šŸ—ØļøšŸ§ 

Google Scholar Metrics:

  • All Time:
    • Citations: 16 šŸ“–
    • h-index: 3 šŸ“Š
  • Since 2018:
    • Citations: 16 šŸ“–
    • h-index: 3 šŸ“Š

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications ( Top Note ) :

1.Ā  A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment

Published: 2023, Journal: arXiv preprint, Cited By: 6

2.Ā  Event augmentation for contact force measurements

Published: 2022, Journal: IEEE Access, Cited By: 6

3.Ā  A computer vision approach to monitoring the activity and well-being of honeybees

Published: 2020, Journal: Intelligent Environments 2020: Workshop Proceedings of the 16th, Cited By: 3

4.Ā  Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping

Published: 2023, Journal: arXiv preprint

5.Ā  Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision

Published: 2023, Journal: arXiv preprint

6.Ā  Asynchronous events-based panoptic segmentation using graph mixer neural network

Published: 2023, Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

7.Ā  Special Purpose Machine for 3-D Bowl feeder welding

Published: 2017

8.Ā  3 Dimensional Welding SPM / Path Tracker

Published: 2016, Journal: International Journal Of Design And Manufacturing Technology

 

 

 

 

 

 

 

Mr. Voncarlos Marcelo de Araujo | Computer vision

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Mr. Voncarlos Marcelo de Araujo : Leading Researcher in Computer vision

Mr. Voncarlos Marcelo de Araujo, UniversitƩ du QuƩbec Ơ MontrƩal (UQAM), Canada

šŸŽ‰ Congratulations Mr. Voncarlos Marcelo de Araujo!

šŸ† On behalf ofĀ ScienceFather, we celebrate your remarkable achievement in winning the prestigious Research and Innovation Achievement Award!Ā Your dedication, innovative research, and scholarly contributions have left an indelible mark in your field. šŸŒŸ Your commitment to advancing knowledge and pushing the boundaries of research is truly commendable. Hereā€™s to your continued success in shaping the future of academia and making invaluable contributions to your field.

šŸŒŸ Mr. Voncarlos Marcelo de Araujo is a highly accomplished professional in the field of Artificial Intelligence, Pattern Recognition, Machine Learning, Privacy, and Cybersecurity. With a solid educational background and extensive research experience, He has made significant contributions to academia and the industry.

Professional Profiles:

.Ā  Ā Google Scholar

.Ā  Ā ORCID

.Ā  Ā Scopus

šŸŽ“Ā Education :
  • raduation in Analysis and System Development
    Faculdade GuairacĆ”. 2010/2012.

    • Title: The importance of technology in sales management and the development of the SOFTWAV prototype.
    • Supervisor: Regiane Orlovski.
  • Masters degree in Applied Computing
    Universidade Estadual de Ponta Grossa (UEPG). 2014/2016.

    • Title: Identification of plant species using a combination of classifiers.
    • Supervisor: Alceu de Souza Britto Junior.
    • Scholarship: CAPES
  • PhD in Informatics
    PontifĆ­cia Universidade CatĆ³lica do ParanĆ” (PUCPR). 2016/2020.

    • Title: Recognition of plant species from the leaf image using deep learning.
    • Supervisor: Alceu de Souza Britto Junior.
    • Scholarship: CAPES

šŸ‘Øā€šŸ”¬ Research Experience:

  • Postdoctoral in Informatics at UniversitĆ© du QuĆ©bec en Outaouais (UQO). 2021/2022.
    • Title: Membership Inference Attack for Beluga Whales Discrimination.
    • Supervisor: ClĆ©ment Chion
    • Co-Supervisor: SĆ©bastien Gambs
    • Scholarship: Groupe de recherche et dā€™Ć©ducation sur les mammifĆØres marins (GREMM)
  • Postdoctoral in Informatics at UniversitĆ© du QuĆ©bec Ć  MontrĆ©al (UQAM). 2022/Actual.
    • Title: Deep Learning approaches for Malware Detection.
    • Supervisor: SĆ©bastien Gambs
    • Scholarship: UniversitĆ© du QuĆ©bec Ć  MontrĆ©al (UQAM).

šŸŒ Research and Academic :

  • šŸŽ“šŸŒ± Continuous Learning
  • šŸ§ šŸ” Research Enthusiast
  • šŸš€šŸ“š Academic Excellence
  • šŸ¤–šŸ”¬ AI and Deep Learning

This academic and research journey reflects [Name]’s commitment to exploring the intersections of technology, nature, and security, showcasing a diverse and impactful career.

šŸŒ Research Interests :

  • šŸ¤– Artificial Intelligence
  • šŸ” Pattern Recognition
  • šŸ¤– Machine Learning
  • šŸ” Privacy
  • šŸ›”ļø Cybersecurity
šŸ“šĀ Publication Impact and Citations :Ā 

Scopus Metrics:

  • šŸ“Ā Publications: 4 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 32 citations for his publications, reflecting the widespread impact and recognition of Mr. Voncarlos Marcelo’s research within the academic community.

Google Scholar Metrics:

All Time:

  • Citations: 62 šŸ“–
  • h-index: 4 šŸ“Š
  • i10-index: 3 šŸ”

Since 2018:

  • Citations: 61 šŸ“–
  • h-index: 4 šŸ“Š
  • i10-index: 3 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications ( Top Note ) :

1.Ā  Fine-grained hierarchical classification of plant leaf images using fusion of deep models

Published Year : 2018, Cited By: 19

2.Ā  Two-view fine-grained classification of plant species

Published Year: 2022, Cited By: 16

3.Ā  Multiple classifier system for plant leaf recognition

PublishedĀ  Year: 2017, Cited By: 15

4.Ā  Automatic control and robotics for greenhouses: A review on heating technologies

Published Year: 2014, Cited By: 6

5.Ā  Machine-learning approach for automatic detection of wild Beluga Whales from hand-held camera pictures

Published Year: 2022, Cited By: 4

6.Ā  AutomaĆ§Ć£o em casas de vegetaĆ§Ć£o: AplicaĆ§Ć£o de controles automĆ”ticos e robĆ³tica

Published Year: 2014, Cited By: 2

7.Ā  Membership inference attack for beluga whales discrimination

Published Year: 2023

 

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future ofĀ Network Protocols, Technology and Communication.