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Ms.Deepshikha Bhati |Artificial Intelligence | Best Researcher Award
Ms, Deepshikha Bhati;Kent State University, United States.
Deepshikha Bhati is a dedicated graduate student at Kent State University, where she is pursuing her academic interests with a focus on [specific field or research area, if known]. With a strong foundation in [relevant skills or previous education], she is passionate about advancing her knowledge and contributing to innovative solutions in her field. Deepshikha is known for her collaborative spirit and commitment to academic excellence, actively engaging in research projects and campus initiatives that promote learning and community involvement.
Summary:
The candidate’s extensive academic and teaching experience, coupled with a strong foundation in relevant research areas, positions them as a worthy contender for the Research for Best Researcher Award. Their commitment to applying advanced technologies to solve real-world problems, alongside a proactive approach to seeking collaboration and funding, underscores their potential to drive innovation in their field.
Professional Profiles:
🎓 Education :
I am currently pursuing a Ph.D. in Computer Science at Kent State University, focusing on my dissertation titled “Semantic Features Based Explanation of Image Classification and Tools for Geographical Multimedia Data.” I hold a Master of Technology in Computer Science from Dr. A.P.J. Abdul Kalam Technical University, India, which I completed in 2017. I also earned my Bachelor of Technology in Computer Science from the same university in 2014.
🏢 Experience:
Since August 2022, I have been serving as a Full-Time Non-Tenure Track Lecturer in the Department of Computer Science at Kent State University, Stark Campus. I have taught a range of courses, including CS III Programming Patterns, Intro to Database System Design, and Algorithm and Programming. My prior roles include part-time instructor and graduate assistantship positions within the same department, where I contributed to courses on Computer Science Principles and various advanced topics. Additionally, I gained practical experience as a Summer Software Developer, working on the “Geo Visuals Mobile Application (GVM app).”
🛠️Skills:
I possess strong programming skills in languages such as C, C++, Python, Java, Embedded C, PHP, Swift, and Kotlin. My web design skills include HTML, CSS, and JavaScript, while I am proficient in tools like MATLAB, SciLab, Visual Studio, and Android Studio. My expertise extends to database management systems such as SQLite, Realm, and MongoDB, along with data analysis and visualization tools including Pandas, NumPy, and Matplotlib. Additionally, I am well-versed in machine learning frameworks such as OpenCV, Scikit-learn, and TensorFlow, and have experience with deep learning architectures including CNNs, RNNs, and Transformers.
Research Focus :
My research interests encompass Information Visualization, Image Processing, Deep Learning, Machine Learning, and Mobile Computing. I actively participate in the Graphics and Visualization Research Group at Kent State University under the guidance of Prof. Ye Zhao.
🔬Awards:
Throughout my academic career, I have received numerous accolades, including the Fall 2024 PAAC Travel Award for participation in the IEEE 7th International Conference on Knowledge Innovation and Invention in Japan, and the Best Conference Paper Awards for two separate papers presented at the IEEE International Conference on Knowledge Innovation and Invention in 2024. I have also been nominated for the Distinguished Teaching Award at Kent State University and have received several travel awards for participation in international conferences.
Conclusion:
Overall, this profile indicates a dedicated and capable researcher whose work aligns well with the goals of the Research for Best Researcher Award. Addressing the highlighted areas for improvement, particularly in research publication and collaboration, would further bolster their candidacy. With continued effort in these domains, the candidate has the potential to make significant contributions to both academic research and practical applications in computer science.
Publications :
- Title: Survey—A comparative analysis of face recognition technique
Authors: D Bhati, V Gupta
Year: 2015
Cited by: 16
- Title: A Multimodal Conversational Interface to Support the creation of customized Social Stories for People with ASD
Authors: DB Rita Francese, Angela Guercio, Veronica Rossano
Year: 2022
Cited by: 7*
- Title: VisualCommunity: a platform for archiving and studying communities
Authors: S Jamonnak, D Bhati, M Amiruzzaman, Y Zhao, X Ye, A Curtis
Year: 2022
Cited by: 5
- Title: Current Advances in Locality-Based and Feature-Based Transformers: A Review
Authors: A Srivastava, M Chandra, A Saha, S Saluja, D Bhati
Year: 2024
Cited by: 3
- Title: DNA Sequence in Cryptography: A Study
Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
Year: 2022
Cited by: 3
- Title: Interactive Visualization and Capture of Geo-Coded Multimedia Data on Mobile Devices
Authors: D Bhati, M Amiruzzaman, S Jamonnak, Y Zhao
Year: 2022
Cited by: 3
- Title: Face Recognition Stationed on DT-CWT and Improved 2DPCA employing SVM Classifier
Authors: D Bhati
Year: 2017
Cited by: 3
- Title: BookMate: Leveraging Deep Learning to Empower Caregivers of People with ASD in Generation of Social Stories
Authors: D Bhati, A Guercio, V Rossano, R Francese
Year: 2023
Cited by: 2
- Title: Recent Trends for Practicing Steganography Using Audio as Carrier: A Study
Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
Year: 2022
Cited by: 2
- Title: Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation
Authors: K Arquilla, ID Gajera, M Darling, D Bhati, A Singh, A Guercio
Year: 2024
Cited by: 1
- Title: Visualizing Routes with AI-Discovered Street-View Patterns
Authors: TH Wu, M Amiruzzaman, Y Zhao, D Bhati, J Yang
Year: 2024
Cited by: 1
- Title: A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging
Authors: D Bhati, FNU Neha, M Amiruzzaman
Year: 2024
Cited by: 0
- Title: Large Language Model-Driven Immersive Agent
Authors: A Singh, S Kumar, A Ehtesham, TT Khoei, D Bhati
Year: 2024
Cited by: 0
- Title: Predictive Analytics in Law Enforcement: Unveiling Patterns in NYPD Crime through Machine Learning and Data Mining
Authors: JS Kumar, M Amiruzzaman, AA Bhuiyan, D Bhati
Year: 2024
Cited by: 0
- Title: Solving Classification Problem using Reduced Dimension and Eigen Structure in RSVM
Authors: M Pal, D Bhati, B Kaushik, H Banka
Year: 2017
Cited by: 0