Investigating the frictions between algorithmic logic and pedagogical practice.

Sumegh is an independent researcher and practitioner operating at the intersection of socio-technical systems, Digital Humanities, and critical EdTech. His work focuses on the ethical deployment of Digital Public Infrastructure (DPI) and the complexities of scaling pedagogical innovations within marginalized contexts.

With over seven years of immersive field experience, Sumegh investigates how data-driven frameworks and algorithmic logic interact with local knowledge systems in the Global South. A proponent of "Tech for Good," his research seeks to deconstruct the digital divide by harmonizing elite institutional research with transformative, grassroots implementation. He is particularly interested in the role of Community of Practice (CoP) and digital micro-credentials in democratizing professional development, aiming to foster an educational landscape that is both technologically advanced and socially just.

Academic Service & Instruction

Instruction

Machine Learning

Teaching Fellow for graduate-level courses focusing on algorithmic foundations.

Algorithms & Python

Foundational instruction for M.Sc. Computer Science candidates.

Editorial & Committees

Editorial Board Member

Critical Digital Humanities Journal (CDH)

Peer Reviewer

Education and Information Technologies (Springer)

Conference Coordination

T4E 2025 Program Administration

Core Research Inquiries

Digital Public Infrastructure

The ethical deployment of large-scale digital systems in public education.

Algorithmic Ethics

How data-driven decisions impact marginalized learners in resource-constrained environments.

Communities of Practice

Leveraging digital networks for democratized teacher professional development.

Knowledge Graphs

Using graph-based computation for advanced knowledge modeling in educational contexts.

Selected Implementations

Public Education Systems

Scaling Digital Learning Frameworks

Implementation of technology-enabled professional development across 60+ government schools. This inquiry focused on the tension between centralized digital mandates and local classroom realities.

FIELD RESEARCH DPI EDTECH

Graph Databases & Education

Socio-Technical Network Analysis

Investigating the technical feasibility of migrating open-source knowledge projects to Neo4j. Developing visualizations to understand complex relational data in educational modeling.

NEO4J PYTHON DATA MODELING

Teacher Professional Development

Digital Micro-credentials

Collaborative research on the motivational impact of digital badges. Piloting large-scale credentialing frameworks to bridge formal and informal learning paths.

BADGR LEARNING ANALYTICS GLOBAL SOUTH