• DIRT

School of Design Innovation’s News and Events showcases design engagements highlighting the moments of creativity, collaboration, and innovation from workshops, industry interactions, and student-led initiatives. Explore how ideas take shape and come to life!

 

  • Design Innovation Methods

    Enhancing creative problem solving with focus on implementation .

  • Entrepreneurship

    Empowering future design innovation.

  • Industry Connect

    Bridging academia with real-world practice.

DESIGN
INNOVATION
RESEARCH
TRIBE

Members of the DIRT

Dr.-B.-K.-Chakravarthy

Prof. B K Chakravarthy

Founding Dean, Professor,
School of Design Innovation
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Chaitanya-Solank-1

Dr. Chaitanya Solanki

Assistant Professor,
School of Design Innovation
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Dr. Herold P. C.

Assistant Professor
School of Design Innovation
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Dr. Herold P. C.

Assistant Professor
School of Design Innovation
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Full-time Ph.D. Students:

Sai-Harshitha-Aburi

Sai Harshitha Aburi

Ph.D. Scholar,
School of Design Innovation
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Arpit Awasthi 

Ph.D. Scholar,
School of Design Innovation
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Akshaya-Manoj

Akshaya Manoj M P  

Ph.D. Scholar,
School of Design Innovation
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Part-time Ph.D. Students:

P.-Kumaresan-1

P. Kumaresan

Ph.D. Scholar,
School of Design Innovation
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Bhanu Prakash

Assistant Professor,
School of Design Innovation
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Prof.-Prakash-Narkhede-1

Prakash Narkhede

Assistant Professor,
School of Design Innovation
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Mandar Kale

Ph.D. Scholar,
School of Design Innovation
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Sayoni Laha

Assistant Professor,
School of Design Innovation
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Sanya-Donald

Sanya Donald

Assistant Professor,
School of Design Innovation
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Santosh-Kocherlakota

Santosh kocherlakota

Assistant Professor,
School of Design Innovation
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Sanjay Guria

Sanjay Guria

Associate Professor of Practice
Pursuing Ph.D. – Cornell University
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Pramod-Priya-Ranjan

Pramod P Ranjan

Assistant Professor,
Pursuing Ph.D. – IIT Hyderabad
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Research Directions of DIRT Scholars

Developing Innovation Pedagogy using AI for MOOCs 

P. Kumaresan

Developing Innovation Pedagogy using AI for MOOCs 

Guides: Dr. Chaitanya Solanki, Prof. Ravi Poovaiah

This research explores integrating Artificial Intelligence into MOOCs to develop an innovation pedagogy that enhances learner engagement, personalization, and creativity. It aims to design adaptive, scalable, and outcome-driven learning frameworks that foster critical thinking and innovation, transforming digital education for diverse learners in the 21st-century knowledge economy.

A Framework for Rich Media in Online Education A Psychological, Cognitive and Emotional Study

Prakash Narkhede 

A Framework for Rich Media in Online Education: A Psychological, Cognitive and Emotional Study 

Guide: Dr. Herold P.C.

This research explores how rich media motion graphics, interactive multimedia, and AI tools impact cognitive load, emotional engagement, and learning efficacy in design education. Using a practice-based approach, it examines how multimedia environments enhance retention, creativity, and the effectiveness of AI-driven feedback in online design learning.

Developing a Framework for Teaching Stop Motion Animation using AI Tools-Agents  

Bhanu Prakash 

Developing a Framework for Teaching Stop Motion Animation using AI Tools/Agents  

Guide: Dr. Chaitanya Solanki

This research explores using AI to streamline stop-motion animation while preserving its handmade aesthetics. It develops a practice-based pedagogy for design students and investigates AI’s role in empowering Indian artisans through digital platforms. The project aims to blend tradition and technology, promoting handicrafts via innovative animation and sustainable toy alternatives.

An InvestAn Investigation into Architecture Motifs in India Textiles Cultural and Aesthetic Sensibilities igation into Architecture Motifs in India Textiles Cultural and Aesthetic Sensibilities 

Sayoni Laha 

An Investigation into Architecture Motifs in India Textiles: Cultural and Aesthetic Sensibilities 

Guide: Dr. Chaitanya Solanki

This research examines how architectural motifs from Mughal jaalis to temple gopuram details—are reflected in traditional Indian textiles like Banarasi, Pochampally, and Kanchivaram. It explores the historical continuity, artistic evolution, and future relevance of these designs, highlighting the deep connections between Indian architecture and textile aesthetics in contemporary design.

Reframing Sketching Evolving Design Education for an AI-First Environment 

Mandar Kale 

Reframing Sketching: Evolving Design Education for an AI-First Environment 

Guide: Dr. Herold P.C., Prof. Uday Athvankar

This research explores how AI tools influence the cognitive and creative processes of Gen Z and Gen Alpha design students. Using practice-based methods and hybrid research, it aims to develop a toolkit that enhances originality, value, and satisfaction in design education amid hyperconnectivity, instant access, and AI-driven creative workflows.

Developing a Framework for Traditional handlooms to Adapt to Mainstream Market

Akshaya Manoj M P  

Developing a Framework for Traditional handlooms to Adapt to Mainstream Market. 

Guide: Dr. Herold P.C.

This research explores integrating Indian Knowledge Systems with modern science to address ecological, social, and economic challenges. Rooted in traditional sustainable practices, it aims to develop adaptable solutions for a sustainable future, influencing policy, academia, society, and economy through holistic, system-level approaches drawn from India’s rich civilizational wisdom.

Technological Interventions in Rural Housing A Sustainable Approach through Indigenous Knowledge Systems 

Sai Harshita Abburi 

Technological Interventions in Rural Housing: A Sustainable Approach through Indigenous Knowledge Systems 

Guide: Dr. Herold P.C.

This research examines sustainable rural housing through technological interventions grounded in Indigenous Knowledge Systems. It aims to integrate traditional building practices with modern innovations to create eco-friendly, cost-effective, and culturally appropriate housing solutions, promoting resilience, and environmental sustainability in rural development.

Arpit Awasthi 

Architecting Public Policy Frameworks through Indian Knowledge Systems 

Guide: Dr. Chaitanya Solanki

This research applies Civilizational Design Thinking to develop adaptive public policy rooted in Indian Knowledge Systems. Integrating texts like Arthashastra with Nudge and Game Theory, it aims to align governance with India’s ethos, fostering culturally resonant, strategic, and equitable solutions for achieving the Viksit Bharat 2047 vision.

Recent Research Outcomes

Evaluating AI-Assisted Skill Development in Design Education: A Pre-Post Analysis with Expert and AI-Based Assessment

Authors: Bhanu Prakash, Chaitanya Solanki, B.K. Chakravarthy, Sai Harshita Abburi

Blending AI and Expert Insight in Design Education 

Blending AI and Expert Insight in Design Education 

As AI transforms education, this study explores its role in helping first-year design students learn the “Elements and Principles of Design.” Conducted with 31 students at School of Design Innovation in Hyderabad, India, the research aimed to understand how AI, combined with traditional teaching, can shape skill development.

Sample 

31 Student, of age range 18 – 20 years , doing their B.Des in School of Design Innovation, Mahindra University ,Hyderabad, India .

Keywords: Personalized learning, Scalable teaching-learning, AI-assisted Learning, AI-human evaluation

Methodology 

Methodology 

Students completed a creative dot-art Pebble Exercise before and after interacting with an AI tutor.
The AI was a custom-trained chatbot, giving individualized feedback. Final submissions were evaluated by both 3 human experts and AI on 6 parameters: creativity, theme, composition, color, precision, and overall design.

Pebble Exercise & Evaluation 

Design students created dot-based artwork on palm-sized pebbles using various paints and tools, exploring colour, medium, and composition in a half-day activity. Each student completed two versions before and after receiving AI feedback. These artworks were anonymized and evaluated by three independent experts and an AI system on six parameters: theme expression, colour interplay, precision, creativity, composition, and overall design.
This dual evaluation aimed to assess the impact of AI guidance on student performance, blending human insight with AI’s objective analysis.