Research

My research lies at the intersection of human-centered AI, human–computer interaction, social computing, and the learning sciences. I study how people learn, reflect, make decisions, and collaborate with peers and intelligent systems. Across these interconnected areas, my work seeks to design inclusive, explainable, and trustworthy technologies that strengthen human agency, broaden participation, and support meaningful learning and decision-making.

Learning, Reflection & Collaborative Sensemaking

Examines how learners reflect on experience, interpret feedback, and build shared understanding through interactions with peers and intelligent systems — across AI-assisted reflection, open-ended problem solving, and spatial learning.

Learning, Reflection & Collaborative Sensemaking

Representative Papers

ReflectEd: Evaluating Reflection-Driven Learning in an AI-Assisted System

AIED 2026
Represents the current focus on AI-supported reflection, self-regulated learning, and collaboration readiness.

When There Is No Right Answer: How Computing Students Navigate Open-Ended Problems through Collaborative Discussion and Peer Evaluation

ITiCSE 2026
Represents the collaborative-sensemaking dimension — how students reason through ambiguity and use peer evaluation to refine understanding.

Understanding the Effect of the Combination of Navigation Tools in Learning Spatial Knowledge

SUI 2019 · Top-5 Paper
Represents the foundational strand on interactive systems, cognitive processing, and incidental learning.

Other Relevant Papers

Students Involved

Md Nazmus Sakib
Md Nazmus Sakib (PhD)
Ishika Tarin
Ishika Tarin (PhD)
Naga Manogna Rayasam
Naga Manogna Rayasam (MS)

Human–AI Collaboration in Mentorship & Careers

Human-centered AI systems designed and studied to support—rather than replace—human relationships in research mentorship and career development, helping individuals prepare for consequential conversations, interpret feedback, develop professional skills, and retain agency in AI-mediated settings.

Human–AI Collaboration in Mentorship & Careers

Representative Papers

Expecting Too Much, Getting Too Little: Exploring the Challenges and Design Opportunities of Asynchronous AI Interviewers

CSCW 2026
Represents the current focus on applicant expectations, agency, transparency, and supportive feedback in high-stakes AI-mediated interviews.

Beyond Representation: Mechanisms of Culturally Affirming Mentorship for Black and Latinx Students in STEM

RESPECT 2026 · Best Paper Award
Represents the mentorship dimension by identifying how professional competence, authentic narratives, and cultural resonance make STEM pathways feel more attainable.

Competing or Collaborating? The Role of Hackathon Formats in Shaping Team Dynamics and Project Choices

SIGCSE TS 2026
Represents the professional-development dimension by showing how collaborative and competitive environments shape teamwork, role selection, skill development, and project interests.

Other Relevant Papers

Students Involved

Md Nazmus Sakib
Md Nazmus Sakib (PhD)
Naga Manogna Rayasam
Naga Manogna Rayasam (MS)
Isabella Lopez
Isabella Lopez (MS)
Sadia Nasrin Tisha
Sadia Nasrin Tisha (PhD)

Inclusive Computing & STEM Participation

Examines the barriers, relationships, and learning environments that shape participation and belonging in computing and STEM, with community-centered interventions supporting historically underrepresented students through culturally affirming role models, inclusive learning experiences, and accessible pathways into computing.

Inclusive Computing & STEM Participation

Representative Papers

Beyond Representation: Mechanisms of Culturally Affirming Mentorship for Black and Latinx Students in STEM

RESPECT 2026 · Best Paper Award
Extends the research beyond demographic representation by identifying how professional competence, authentic accounts of struggle and resilience, and cultural resonance make STEM pathways feel attainable.

"You Don't See Too Many of Me, Too Many of Us, in That Area": Exploring the Challenges and Opportunities of Promoting STEM Education Among Black and Latinx Students

ITiCSE 2024, pp. 318–324
Establishes the foundation of this research area by examining how limited representation, institutional barriers, family expectations, financial considerations, and access to role models shape participation in STEM.

Competing or Collaborating? The Role of Hackathon Formats in Shaping Team Dynamics and Project Choices

SIGCSE TS 2026
Demonstrates how the structure and culture of computing events influence collaboration, leadership, project selection, and inclusive participation.

Students Involved

Students Involved
Isabella Lopez
Isabella Lopez (MS)
Sadia Nasrin Tisha
Sadia Nasrin Tisha (PhD)
Md Nazmus Sakib
Md Nazmus Sakib (PhD)
Saquib Ahmed
Saquib Ahmed (PhD)

Responsible, Explainable & Trustworthy AI

Examines how AI systems and their outputs can be made more understandable, reliable, and accountable — through human-centered explanations, context-sensitive evaluation methods, and robustness analyses that identify model limitations, support informed interpretation, and strengthen appropriate trust in AI-assisted decisions.

Responsible, Explainable & Trustworthy AI

Representative Papers

Enhancing Image Comprehension: The Impact of AI-Generated Explanations on Perception of Altered and Synthetic Media

AIES 2025, pp. 41–54
Demonstrates how contextual explanations help people interpret altered and synthetic images, showing contrastive explanations are particularly effective for improving understanding beyond simple authenticity labels.

COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models

WebSci 2025
Introduces a context-sensitive framework for determining whether benchmark statements reliably reveal language-model bias across different situations and align with human judgments.

Analyzing the Sensitivity of Vision-Language Models in Visual Question Answering

GEM² 2025, pp. 431–438
Evaluates the robustness of leading vision-language models by examining how conversational modifiers and violations of cooperative communication principles affect their responses to visual questions.

Other Relevant Papers

Students Involved

Saquib Ahmed
Saquib Ahmed (PhD)
Tejo Gayathri Busireddy
Tejo Gayathri Busireddy (MS)

Social Computing, Persuasion & Technology Adoption

Examines how social platforms, community norms, and persuasive technologies shape participation, decision-making, and the adoption of new tools — designing and studying social computing systems that support communities, improve access to trustworthy information, and reveal how social signals, narratives, and multimedia influence attitudes and behavior.

Social Computing, Persuasion & Technology Adoption

Representative Papers

Why Should I Bother to Break the Norm?: Exploring the Prospects of Adopting Technology-Driven Solutions by Indian Shrimp Farmers

CSCW 2023
Represents the technology-adoption strand, examining how social norms, perceived risks, trust, and community practices influence adoption of technological solutions in Global South communities.

Fishing for Validation: Understanding Promises and Challenges of a Private Social Media Group for COVID-19 Long-Hauler Patients

CSCW 2022
Represents the online-community strand — how private social platforms provide validation, information, and social support to communities navigating uncertain and contested health conditions.

Effects of Socially Stigmatized Crowdfunding Campaigns in Shaping Opinions

CHI 2018 · Best Paper Honorable Mention
Represents the persuasion strand, examining how exposure to social support around stigmatized causes can influence attitudes and opinions.

Other Relevant Papers

Students Involved

Saquib Ahmed
Saquib Ahmed (PhD)
Md Nazmus Sakib
Md Nazmus Sakib (PhD)
Lokesh Medarametla
Lokesh Medarametla (MS)