Teaching has been one of the most fulfilling experiences of my life and I take it with utmost seriousness. I am constantly challenged by students who bring fresh perspectives and difficult questions, forcing me to reconsider long-held assumptions. I rarely claim to know all the answers, but hope to equip students with the tools and frameworks to help them find the answers.
I constantly experiment with new pedagogical approaches to improve student learning. In this spirit, I have formed corporate partnerships, launched an industry leader mentorship program, brought frontier academic research into non-Ph.D. classrooms, and developed a new building-focused product development course launching in Fall 2026.
I currently teach three courses at UT-Dallas — (1) Technology Strategy & New Product Development, (2) AI in Action: Building Products Ventures and Competitive Advantage, and (3) Technology, Innovation & Entrepreneurship.
In three years, I have been twice nominated for the UT-Dallas President's Teaching Excellence Award in Graduate/Professional Instruction. Both nominations came before I met the award's five-year service eligibility requirement.
Previously, at UNC-Chapel Hill, I taught Strategic Management in the Modern Corporation. This course focused on contemporary issues in corporate strategy such as market diversification, vertical integration, alliances & joint ventures, M&A, and global strategy.
AI in Action: Building Products, Ventures, and Competitive Advantage
Jindal School of Management | University of Texas at Dallas
Fall 2026—Present
Graduate- & Undergraduate-Level Course
Fall 2026 Syllabus & Course Website Coming Soon
New course in Fall 2026. This course is for builders. Go from idea to working product and viable venture in one semester.
Course Description: AI is transforming every industry. This course teaches students how to leverage it. Students will deploy AI tools for market analysis, competitive intelligence, and customer insights, and use them to build AI-powered product prototypes. They will also develop AI-enabled ventures from concept through to an investor pitch. Throughout the course, students will come to understand how AI reshapes competition, business models, and organizations, learning directly from practitioners and thought leaders in the field. Working in teams, they will create AI-assisted strategic analyses, functional prototypes, go-to-market strategies, and investor-ready pitch decks. The course combines hands-on practice with strategic thinking, helping students leverage the AI tools reshaping business today while understanding their broader implications for strategy and society.
Course Features:
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Students will spend time examining open market problems (e.g., YC's RFS, Elad Gil's AI Market Clarity, a16z, or other opportunities enabled by AI), and identifying viable product solutions.
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With the help of Claude Code, Base44, and similar tools, students will work towards identifying, developing, and testing new product features while simultaneously conducting in-depth research into the competitive landscape, customer preferences, and unit economics. By the end of the semester, students will have a functioning prototype and venture plan that is ready to pitch to external stakeholders.
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Over the course of the semesters, students have the opportunity to get feedback from industry mentors at startups, Fortune 500 companies, and professional services firms.
Technology Strategy & New Product Development
Jindal School of Management | University of Texas at Dallas
Fall 2023—Present
Graduate-Level Course
Syllabus (Fall 2026 coming soon, Fall 2025, Fall 2024)
This course examines the strategic dimensions of technology and innovation management in contemporary business environments. The curriculum progresses from foundational concepts in technological change to advanced implementation frameworks for innovation initiatives. Students will analyze theoretical models of disruptive innovation, platform economics, and competitive advantage through technology while engaging with case studies of notable organizations including Kodak, OpenAI, Disney, Duolingo, Barcelona FC, Keurig, Fox Star Studios, and more. Students will cultivate proficiencies in forecasting technology trends, aligning technological initiatives with business objectives, selecting optimal innovation projects, evaluating timings and methods of new market entry, protecting intellectual assets, designing organizational structures conducive to innovation, and considering differences in business models for new products.
A key feature of this course is that students are provided professional access to a leading AI-powered no-code product development tool (Base44). Students have the opportunity to build minimum viable products (MVPs) via this tool in as part of their group projects developing a go-to-market strategy for their new products.
Because this course is cross-listed, MBA and masters students from a range of disciplines ranging from innovation & entrepreneurship, marketing, supply chain management, business analytics, systems engineering, and information technology are enrolled in the class. In recent years, I have had students from outside the business school (e.g., neuroscience, engineering). This undoubtedly raises the quality of discussion. If you are a current student at UTD considering enrolling but unsure about your fit, please reach out to me via email.
Instructor evaluations:
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Fall 2023: 4.87/5.00 (Two sections; Total Enrollment: 86; Response Rate: 89.5%)
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Fall 2024: 4.96/5.00 (Three sections; Total Enrollment: 77; Response Rate: 90.9%)
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Fall 2025: 4.84/5.00 (Two sections; Total Enrollment: 66; Response Rate: 92.4%)
What past students have said about the course:
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"Amazing professor! Really captivating in lectures, great at bringing the class together, and creating a desire for participation in class discussions. Has a great variety of teaching strategies and uses various methods to grow engagement in class. His case study and breakout group methods were very beneficial."
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"Overall this class was arguably one of my best classes in the JSOM MBA program. Professor Shermon was very motivated and prepared for each class with great material. I have referenced and used this material outside of class multiple times in work settings surrounding innovation practices at work."
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"Professor Anavir, is one of the most involved professors I have come across in my academic career. He genuinely enjoyed teaching and loves his area of study and research. All the lectures were well structured and I was able to get immense amount of value out of it. I will be using most of the concepts in my own business and educating my team about the same."
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"This was one of the best courses I've taken this fall semester. The professor was exceptional, clearly passionate about the subject matter, and incredibly approachable. The sessions were engaging and insightful. All the material and coursework, again was up to the mark."
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"The course structure is amazing. Class participation is encouraged and Professor Shermon is excellent at creating a conducive environment for discussion. Additionally, the course content is very structured and expectations are clear, which makes it great. I really liked this class!"
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"I have found this course to be the best among all the courses I have taken so far. The professor is not only an amazing person but also very knowledgeable! I love the way he has designed the course; it has really boosted my confidence."
Technology, Innovation & Entrepreneurship
Jindal School of Management | University of Texas at Dallas
Fall 2025—Present
Doctoral-level Seminar
Syllabus (Fall 2025; Next Offering Fall 2027)
This course is a doctoral seminar designed to provide an introduction to research on technology, innovation, and entrepreneurship. The first four weeks are designed to introduce a broad survey of theoretical foundations from disciplinary fields (e.g., economics and sociology) and classics from innovation literature to conduct research in technology, innovation, and entrepreneurship, whereas the remainder of the course will focus on phenomenon-based topics in contemporary research.