PhD Scholar at IIITD

Research Interests: Ethical AI, Semantic Web Technologies, Knowledge Representation, Neurosymbolic Techniques, Ethics, AI Philosophy

Highlights

• Ph.D. (Computer Science Engineering) scholar at IIITD, working on developing a framework for ethical AI using a neurosymbolic approach. Currently in the 3rd year of study, expecting to graduate in 2026.
• Research interests include ethical AI systems, semantic web technologies, ontology development, knowledge graphs and representation, neurosymbolic techniques, LLMs, NLP, and ethical philosophy.
• Five years of research and industry experience in ethical AI systems, data science, and business analytics.
• Research projects include the development of an ontology that is able to capture contextual information and applied ethics using explicit entities and relationships. These can help build a discrete structure which may support dilemma resolution in applied ethics via reasoning and inference. Further work includes real-world use case modeling for evaluation of the ontology and building an augmented dataset for neurosymbolic applications such as case-based reasoning to emulate casuistry leveraging LLMs. The development of rules in the form of an algorithm for ethics scoring based on important ethical principles may help in reasoning and querying to analyze ethics in action-based scenarios.

Education

PhD in Computer Science Engineering

• Thesis Title: Ethical Decision-making through Neurosymbolic Techniques
• CGPA: 8.54/10
• Indraprastha Institute of Information Technology Delhi

M.Sc. in Data Science

• Qualified with Distinction
• Heriot-Watt University

B.Tech. in Computer Engineering

• CGPA 8.82/10
• Jamia Millia Islamia

Research Projects

Ongoing:

ApplE: An Applied Ethics Ontology to capture Ethical Theory and Contextual Information

An Ontology to capture various abstract concepts in the field of ethical philosophy as entities and relationships. See full documentation and GitHub Repository for more information.

A Dataset to Capture Ethical and Contextual Information about Real-world Cases with their Ethical Analysis

This dataset aims to document and annotate real-world cases where some moral reasoning takes place. The features selected for this dataset are carefully curated to represent the most vital contextual information that can imply the morality of the act. Each act can be labeled as either a morally right, wrong, or grey action. Ethical theory is also considered as schools of thought and the ethical principles violated. This dataset may facilitate ethics research in the field of AI applications and also aid ML and symbolic techniques for dilemma resolution.

A Survey on Techniques to Digitize Ethics and Ethical Decision-making

This survey paper looks at the various techniques used to capture ethical information in the computing space, and also the use of the latest technologies to facilitate ethical decision-making.

Completed:

Opacity, Transparency, and the Ethics of Affective Computing

Co-authored with M. Kumar, O. Chattar, J. Shukla, and R. Mutharaju. Published at the IEEE Transactions on Affective Computing, Special Issue on Ethics in Affective Computing 2023.

A Comparative Study on Approaches to OCR for Different Scripts

Masters Thesis under the supervision of Dr. Hind Zantout. Heriot-Watt University, 2019.

Cryptanalysis of Image Cryptosystem Using Synchronized 4D Lorenz Stenflo Hyper-chaotic Systems

Co-authored with M. Ahmad, S. Ansari, M. Siddiqui, and S. Masood. Published in Information and Decision Sciences, AISC, Vol. 701, Springer, 2018.

Work Experience

Full-time:

• Data Analyst VLCC Beauty and Wellness (GCC HQ), Dubai, UAE. (May-Oct 2019)

Freelance:

• Research Assistant associated with the University of Bahrain, Royal University of Women, and Arab Gulf University. (Feb 2021-July 2021)
• Private Instructor - Subjects include Data Science, High-Performance Computing, Big Data Analytics, Data Mining, and Research Methods. (Dec 2020 - Sept 2021)

Technical Skills

• Software Development: Python, Java, R, C++, C, Prolog, C#, MATLAB
• Semantic Web Technologies: Protege, SWRL
• Database Management: Advanced MS Excel, MySQL
• Business Intelligence Software: MS-Power BI
• Quantitative Research: SPSS, Smart PLS (SEM)

Certifications

• Understanding Research Methods, University of London
• Using IBM SPSS for Research, Certified for IBM Business Analytics Software
• Business Analytics Specialization, Rice University
• Data Analytics Training, IIT Alumni Venture
• Algorithmic Optimization, Scientific Computation, and their Applications in Science and Technology, Jamia Millia Islamia
• Advanced Content and Social Tactics to Optimize SEO, University of California, Davis
• Cyber Security and Ethical Hacking, Bytecode Academy

Community Service and Memberships

• Volunteer at IEEE-Women in Engineering (IEEE-WIE)
• Member, Bahrain Statistical Society (BSS)
• Member, Computer Society of India (CSI-JMI Chapter)
• Volunteer, Association for Students in Economic and Commercial Sciences (AIESEC)
• Editor-in-Chief, Fiction Magazine, JMI CSE (2018)
• Volunteer, Black-belt trainer, Indo-International Taekwondo Academy, New Delhi