OFFICE: PKI 383, 1110 S 67th St, Omaha, NE -68182
OPEN TO WORK- I am currently interested in the industrial job market! Please feel free to contact me for any potential opportunities.
I'm a Ph.D. candidate(ABD) and a Responsible AI scientist passionate about building ethical and impactful AI solutions. Driven by AI's potential to create a positive societal impact, I'm spearheading research on the fairness of AI/ML systems under the supervision of Dr. Deepak Khazanchi. One of the critical aspects of my work is developing AI/ML systems to create tangible results, such as reducing biased decision-making, saving costs, promoting ethical practices, and tackling real-world business challenges.
Beyond research, I'm actively seeking opportunities to translate my expertise into industry or entrepreneurial ventures. I'm excited to collaborate with like-minded individuals and organizations to develop innovative solutions that advance responsible AI practices across various industries.
Connect with me if you're interested in:
1) Recruiting me for your setup
2) Collaborating on responsible AI projects
3) Discussing the future of ethical and impactful AI
...or simply want to learn more about my research!
As a Ph.D. candidate, I honed my research project management skills and entrepreneurial mindset and spearheaded novel AI/ML projects, delivering actionable results that achieve strategic objectives.
Here's how I make a difference:
1) Integrate and introduce AI/ML tech to solve real-world problems across diverse domain
2) Develop innovative socio-tech solutions that promote ethical practices and responsible AI adoption
3) Possess a problem-solving mindset and drive to identify and solve key challenges in a field
Some of my research interests are-
Responsible AI, including Fairness, perception in ML*
Generative AI (LLMs- development and evaluation)*
Edge-AI, Hardware-Accelerated Machine Learning*
Deep learning methods in Computer vision (like attention networks, weakly supervised learning, transfer learning, and reinforcement learning);*
Game theory
Socially Assistive Robotics (using modular self-reconfigurable robots & soft robotics), Human-robot interaction
(*: shows actively working)
You can contact me by filling out the 'Contact information' form below or emailing me.
Recent News
1. May, 2024, My dissertation research topic has been selected for the ACM FAccT 2024 Doctoral Consortium. Title-Perceived Fairness in Machine Learning (ML) Process: A Conceptual Framework
2. April, 2024, SURVEY ALERT: Calling All Machine Learning (ML) professionals for ML fairness survey! CLICK HERE to Know more.
3. February, 2024, My work integrating edge-AI in the structural health monitoring domain with the title- "An Investigation into the Advancements of Edge-AI Capabilities for Structural Health Monitoring" is accepted in IEEE Access Journal (Five-year Impact factor: 4.1)
4. January, 2024, I will be working as TA for HONR3030-099: Honors Colloquium Digital Human Rights in the Age of AI at IS&T, UN Omaha, for the Spring 2024 session.
5. January, 2024, My work utilizing weakly supervised learning in the structural health monitoring domain with the title- "Weakly Supervised Crack Segmentation Using Crack Attention Network (CrANET) On Concrete Structures" is accepted in the journal Sage Structural Health Monitoring (Five-year Impact factor: 7.0)
6. November, 2023, I am attending NeurIPS 2023.
7. October, 2023, My work on ML fairness under the title "Assessing Perceived Fairness in Machine Learning (Process): A Conceptual Framework" is selected in the NeurIPS Workshop on Algorithmic Fairness through the Lens of Time, New Orleans, 2023.
8. April, 2023, My arxiv preprint discussing Perceived Fairness in Machine learning is available with the title "Assessing Perceived Fairness From Machine Learning Developer's Perspective" is available at https://arxiv.org/abs/2304.03745
9. April, 2023, My arxiv preprint discussing edge-AI is available with the title "Integrating edge-AI with structural health monitoring domain" is available at https://arxiv.org/abs/2304.03718
Some interesting videos:
**All these videos are posted just for educational purposes. This website holds NO ownership of the contents posted in this section "some interesting videos". These are youtube videos, the references are given in the youtube video description.**
AI/ML with Structural Health Monitoring
Theory vs Law
Intro to Generative AI
Intro to Quantum Computing
Deepmind: DL Lecture Series
Alpha Zero Video
Emerging theory of Fairness
Modular Robots