Philosophy: The Interfacial Model anchors abstract theory in physical reality through experimentation, amplifies human intuition with computational intelligence, and dissolves the walls between the classroom and the community through open science.
Symbiotic Intelligence: Artificial Intelligence (AI) and Machine Learning (ML) are thinking partners. Students learn to question algorithmic outputs, audit results against physical laws, and develop Symbiotic Intelligence. I emphasize ethical reflection and critical evaluation of computational power.
The Open Lab: (https://github.com/anjurgupta) I believe that education thrives on community and that our work should serve as a resource for everyone. I openly publish our course materials and datasets to give students the chance to learn from authentic, complex data instead of simplified problems.
My ABCs of Impactful Advising
Aligning Resources & Advocacy- I personally connect students to co-ops, academic programs, and support services based on their unique situations. I serve as an advocate who champions changes that directly impact student growth, addressing concerns and proposing solutions that benefit success.
Balancing Goals & Independence- As a coach and navigator, I empower students to take charge of their own academic and career paths. I support their individuality, helping them set independent goals and adjust when life changes.
Championing I³ (Inclusiveness, Identity, Involvement)- I encourage psychosocial involvement in student clubs and local communities, which builds professional identity and retention. When students are involved, they thrive.
Student Voices: Caring, Approachable, Inclusive
“You are just simply so ahead of the curve, and I greatly appreciate the exposure to AI/Machine Learning as well as the Ansys simulations you showed us alongside our course material. I honestly believe that your style of teaching is very close to the way education is going to rapidly evolve in the near future, as we have seen things change very quickly for us as engineering students over my time here at UT, especially with the development of AI”
“I took your Digital Twinning for Greener Pastures class in the fall of 2024, and I still think about it all the time. That class completely changed the direction of my studies and helped me realize how much I love the connection between digital twinning, AI, and sustainability”
“The materials were engaging, and you provided us with a variety of activities that were both fun to complete and allowed us to demonstrate our understanding of the content. I couldn't recommend this class highly enough to my Liberal Arts peers.”
“I’ve enjoyed your Digital Twinning for Greener Pastures class this semester. As a senior studying Interdisciplinary Studies, I’ve taken courses across a lot of different fields, but this one really stood out.”
“What I loved most about the class is how versatile and relevant the material is. Digital twinning isn’t just a technical concept, but it has real applications in areas like healthcare, sustainability, and even urban planning. The way you connected those dots made the subject feel accessible and meaningful no matter what a student’s major might be. The projects and assignments also made the material come alive. It was great to see how technology can be used to solve real-world problems, and it gave me a new way to think about challenges I might face in the future. I feel like this is a course that could benefit students from so many different backgrounds, whether they’re in engineering, business, or even the humanities. Thanks for making the class such a great experience! I have learned so much and it has been one of the best courses I have taken thus far.”
Courses at UToledo
MIME 8650/6650: Advanced Material Science and Engineering
MIME 8580/6580 Advanced Heat Transfer
MIME 3440: Heat Transfer
MIME 3450: Energy Laboratory
ALS 3060: Digital Twinning for Greener Pastures
MIME 2700: Advanced Measurements and Instrumentation
MIME 2000: Measurements Laboratory
Prior to UToledo
Biochemical Engineering
Applied Thermodynamics
Mass Transfer Operations
Multiscale Process Analysis
Chemical Engineering Principles Laboratory: Thermodynamics module
Programming and Computation for Chemical Engineers
Introduction to Design
Engineering Mechanics: Statics and Dynamics
Fundamental of Engineering (FE exam) Review
General Chemistry I and II