🌟Ms. Shivani Pandya, Congratulations on Winning the Women Researcher Award! 👏🌟🏆

• Ms. Shivani Pandya, Nirma University, India: Machine Learning and Deep Learning in Autism

Heartiest congratulations on being honored with the prestigious Women Researcher Award! 🎉🏆by ScienceFather Your outstanding contributions to the field of [specific field] have not only demonstrated your exceptional skills but also served as an inspiration to many aspiring researchers.

This well-deserved recognition is a testament to your dedication, hard work, and significant achievements in [mention a key aspect of the research]. Your commitment to advancing knowledge in Machine Learning and Deep Learning in Autism is truly commendable, and we are thrilled to see your impactful work being acknowledged.

Your passion for research and your role as a woman in science exemplify the spirit of innovation and excellence. 🚀💪 Your success not only contributes to the advancement of your field but also sets a shining example for future generations of women researchers.

May this award be just one of many more to come, as you continue to make remarkable strides in your research journey. We are proud to celebrate this milestone with you and look forward to witnessing the continued brilliance of your work. Once again, congratulations on this well-deserved achievement! 🌟👏

Professional Profiles:

• Orcid Profile
• Scopus Profile
• Google Scholoar Profile

Bio Summary:

• Enthusiastic PhD candidate in Computer Science and Engineering at Nirma University, Ahmedabad.
• Specializing in eXplainable AI techniques for Autism research, with a focus on deep learning and machine learning applications.
• Actively engaged in collaborative and interdisciplinary research, contributing to reputable journals and conferences.
• Recognized for presenting innovative work at the IEEE Conference in Mumbai.
• Committed to continuous learning and the application of knowledge to real-world scenarios.

Education:

• University: Nirma University, Ahmedabad
• Degree: PhD in Computer Science and Engineering
• Enrollment: Pursuing since 2021
• Research Area: eXplainable AI in Autism research using deep learning and machine learning

Work Experience:

• Position: Research Scholar
• Employer: Nirma University, Ahmedabad
• Duration: Since 2021
• Responsibilities:
  • Led deep learning research in autism, applying XAI techniques for model interpretability.
  • Instructed lab sessions, teaching practical machine-learning skills.
  • Collaborated with interdisciplinary teams, contributing to published research.
  • Applied quantitative analysis to enhance reliability in autism detection models.

Activities and Achievements:

• IEEE Conference Nmims, Mumbai, Maharashtra (December 2022):
  • Participated and networked with distinguished researchers.
  • Presented a paper on “AI-based Classification for Autism Spectrum Disorder Detection using Video Analysis.”
• Workshop on AI-based Approaches in Addressing Issues Related to Cognitive Health IIT Gandhinagar, Gujarat (November 2022):
  • Attended a workshop on AI-based approaches in cognitive health.
  • Collaborated with professionals across various research fields.
• Winter School on Deep Learning: From Perceptrons to Transformers Indian Statistical Institute, Kolkata (February 2022):
  • Participated in hands-on sessions applying deep learning to real-world challenges.
  • Developed proficiency in Python, PyTorch, matrix calculus, linear algebra, artificial neural networks, CNNs, and RNNs.

Research Focus:

• Thesis Topic: Applying eXplainable AI techniques in Autism research
• Key Areas: Deep learning, Machine learning, Autism detection models, XAI techniques
• Contributions: Led deep learning research, enhanced model interpretability, applied quantitative analysis for reliability.

Professional Journey:

• Position: Research Scholar
• Employer: Nirma University, Ahmedabad
• Duration: Since 2021
• Responsibilities:
  • Led deep learning research in autism, focusing on model interpretability.
  • Instructed lab sessions, imparting practical machine-learning skills.
  • Collaborated with interdisciplinary teams, contributing to published research.
  • Applied quantitative analysis for enhanced reliability in autism detection models.

Honors & Awards:

• IEEE Conference Nmims, Mumbai, Maharashtra (December 2022):
  • Recognition for presenting a paper on “AI-based Classification for Autism Spectrum Disorder Detection using Video Analysis.”

Research Timeline:

• PhD Enrollment: Since 2021
• Milestones:
  • 2022: Presented at IEEE Conference, Mumbai
  • 2022: Attended AI-based Approaches workshop at IIT Gandhinagar
  • 2022: Participated in Winter School on Deep Learning at Indian Statistical Institute, Kolkata

Publications & Contributions:

• Journal Publications: Contributed to reputable journals in the field of Autism research.
• Conference Contributions: Presented at influential conferences, showcasing expertise in AI for Autism detection.