AI Super ProfessorBachelor

Prof. Dr. Anushka Gupta

Smart Energy Systems and Renewable Technologies

Welcome to the future of clean energy! I am Prof. Dr. Anushka Gupta. As a professor and a pioneering force in the field of Smart Energy Systems and Renewable Technologies, I bring a unique blend of engineering expertise and AI insight to the study of sustainable energy. I am honored to lead the Smart Energy Systems and Renewable Technologies (Bachelor's) program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Internships in technology companies or energy firms
Roles as renewable energy engineers or smart grid specialists
Consultancy in smart energy systems and renewable technologies
Support roles in academic research projects on smart energy systems

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Anushka Gupta

Prof. Dr. Anushka Gupta

Listed courses

Each listed course sits above its units and the outcomes written under them.

Smart Energy Systems and Renewable Technologies

01Smart Energy Systems and Renewable Technologies
1. FoundationsFoundations of Smart Energy Systems and Renewable Technologies
  The learner can master practical skills in Solar, Wind, and other Renewable Energy Sources, as applied to Smart Energy Systems and Renewable Technologies.
  Multiple choiceWhich listed outcome belongs to Foundations of Smart Energy Systems and Renewable Technologies?
  Meets the listed outcomeThe learner can master practical skills in Solar, Wind, and other Renewable Energy Sources, as applied to Smart Energy Systems and Renewable Technologies.
  The learner can gain expertise in Smart Grid Design and Energy Storage Solutions, as applied to Smart Energy Systems and Renewable Technologies.
  True or falseThis unit lists the following outcome: The learner can gain expertise in Smart Grid Design and Energy Storage Solutions, as applied to Smart Energy Systems and Renewable Technologies.
  Meets the listed outcomeThe learner can gain expertise in Smart Grid Design and Energy Storage Solutions, as applied to Smart Energy Systems and Renewable Technologies.
2. MethodsMethods in Smart Energy Systems and Renewable Technologies
  The learner can develop problem-solving abilities for real-world challenges in smart energy systems, as applied to Smart Energy Systems and Renewable Technologies.
  True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for real-world challenges in smart energy systems, as applied to Smart Energy Systems and Renewable Technologies.
  Meets the listed outcomeThe learner can develop problem-solving abilities for real-world challenges in smart energy systems, as applied to Smart Energy Systems and Renewable Technologies.
  The learner can cultivating an interdisciplinary approach, integrating electrical engineering, computer science, and environmental science, as applied to Smart Energy Systems and Renewable Technologies.
  Short answerIn one sentence, restate the listed outcome of Methods in Smart Energy Systems and Renewable Technologies as applied to Smart Energy Systems and Renewable Technologies.
  Meets the listed outcomeThe learner can cultivating an interdisciplinary approach, integrating electrical engineering, computer science, and environmental science, as applied to Smart Energy Systems and Renewable Technologies.
3. ApplicationApplication of Smart Energy Systems and Renewable Technologies
  The learner can master AI-powered techniques for energy grid optimization, as applied to Smart Energy Systems and Renewable Technologies.
  Short answerIn one sentence, restate the listed outcome of Application of Smart Energy Systems and Renewable Technologies as applied to Smart Energy Systems and Renewable Technologies.
  Meets the listed outcomeThe learner can master AI-powered techniques for energy grid optimization, as applied to Smart Energy Systems and Renewable Technologies.
  The learner can apply advanced engineering principles to smart energy systems and renewable technologies, as applied to Smart Energy Systems and Renewable Technologies.
  Multiple choiceWhich listed outcome belongs to Application of Smart Energy Systems and Renewable Technologies?
  Meets the listed outcomeThe learner can apply advanced engineering principles to smart energy systems and renewable technologies, as applied to Smart Energy Systems and Renewable Technologies.
02Integration of Renewable Energy Sources (Solar, Wind)
1. FoundationsFoundations of Integration of Renewable Energy Sources (Solar, Wind)
  The learner can interpreting and analyze complex energy systems and their implications for renewable integration, as applied to Integration of Renewable Energy Sources (Solar, Wind).
  Multiple choiceWhich listed outcome belongs to Foundations of Integration of Renewable Energy Sources (Solar, Wind)?
  Meets the listed outcomeThe learner can interpreting and analyze complex energy systems and their implications for renewable integration, as applied to Integration of Renewable Energy Sources (Solar, Wind).
  The learner can identify optimal energy flow and predicting potential vulnerabilities, as applied to Integration of Renewable Energy Sources (Solar, Wind).
  True or falseThis unit lists the following outcome: The learner can identify optimal energy flow and predicting potential vulnerabilities, as applied to Integration of Renewable Energy Sources (Solar, Wind).
  Meets the listed outcomeThe learner can identify optimal energy flow and predicting potential vulnerabilities, as applied to Integration of Renewable Energy Sources (Solar, Wind).
2. MethodsMethods in Integration of Renewable Energy Sources (Solar, Wind)
  The learner can apply a method from Integration of Renewable Energy Sources (Solar, Wind) to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Integration of Renewable Energy Sources (Solar, Wind) to a documented case.
  Meets the listed outcomeThe learner can apply a method from Integration of Renewable Energy Sources (Solar, Wind) to a documented case.
  The learner can select an appropriate method from Integration of Renewable Energy Sources (Solar, Wind) for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Integration of Renewable Energy Sources (Solar, Wind) as applied to Integration of Renewable Energy Sources (Solar, Wind).
  Meets the listed outcomeThe learner can select an appropriate method from Integration of Renewable Energy Sources (Solar, Wind) for a stated problem.
3. ApplicationApplication of Integration of Renewable Energy Sources (Solar, Wind)
  The learner can evaluate a practice of Integration of Renewable Energy Sources (Solar, Wind) against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Integration of Renewable Energy Sources (Solar, Wind) as applied to Integration of Renewable Energy Sources (Solar, Wind).
  Meets the listed outcomeThe learner can evaluate a practice of Integration of Renewable Energy Sources (Solar, Wind) against a stated criterion.
  The learner can transfer Integration of Renewable Energy Sources (Solar, Wind) to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Integration of Renewable Energy Sources (Solar, Wind)?
  Meets the listed outcomeThe learner can transfer Integration of Renewable Energy Sources (Solar, Wind) to a new documented context.
03Energy Storage Solutions
1. FoundationsFoundations of Energy Storage Solutions
  The learner can explain the core terms of Energy Storage Solutions.
  Multiple choiceWhich listed outcome belongs to Foundations of Energy Storage Solutions?
  Meets the listed outcomeThe learner can explain the core terms of Energy Storage Solutions.
  The learner can distinguish related ideas inside Energy Storage Solutions.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Energy Storage Solutions.
  Meets the listed outcomeThe learner can distinguish related ideas inside Energy Storage Solutions.
2. MethodsMethods in Energy Storage Solutions
  The learner can apply a method from Energy Storage Solutions to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Energy Storage Solutions to a documented case.
  Meets the listed outcomeThe learner can apply a method from Energy Storage Solutions to a documented case.
  The learner can select an appropriate method from Energy Storage Solutions for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Energy Storage Solutions as applied to Energy Storage Solutions.
  Meets the listed outcomeThe learner can select an appropriate method from Energy Storage Solutions for a stated problem.
3. ApplicationApplication of Energy Storage Solutions
  The learner can evaluate a practice of Energy Storage Solutions against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Energy Storage Solutions as applied to Energy Storage Solutions.
  Meets the listed outcomeThe learner can evaluate a practice of Energy Storage Solutions against a stated criterion.
  The learner can transfer Energy Storage Solutions to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Energy Storage Solutions?
  Meets the listed outcomeThe learner can transfer Energy Storage Solutions to a new documented context.
04Smart Grid Design
1. FoundationsFoundations of Smart Grid Design
  The learner can explain the core terms of Smart Grid Design.
  Multiple choiceWhich listed outcome belongs to Foundations of Smart Grid Design?
  Meets the listed outcomeThe learner can explain the core terms of Smart Grid Design.
  The learner can distinguish related ideas inside Smart Grid Design.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Smart Grid Design.
  Meets the listed outcomeThe learner can distinguish related ideas inside Smart Grid Design.
2. MethodsMethods in Smart Grid Design
  The learner can apply a method from Smart Grid Design to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Smart Grid Design to a documented case.
  Meets the listed outcomeThe learner can apply a method from Smart Grid Design to a documented case.
  The learner can select an appropriate method from Smart Grid Design for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Smart Grid Design as applied to Smart Grid Design.
  Meets the listed outcomeThe learner can select an appropriate method from Smart Grid Design for a stated problem.
3. ApplicationApplication of Smart Grid Design
  The learner can evaluate a practice of Smart Grid Design against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Smart Grid Design as applied to Smart Grid Design.
  Meets the listed outcomeThe learner can evaluate a practice of Smart Grid Design against a stated criterion.
  The learner can transfer Smart Grid Design to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Smart Grid Design?
  Meets the listed outcomeThe learner can transfer Smart Grid Design to a new documented context.
05Ethical Implications of AI in Critical Infrastructure Management
1. FoundationsFoundations of Ethical Implications of AI in Critical Infrastructure Management
  The learner can explain the core terms of Ethical Implications of AI in Critical Infrastructure Management.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethical Implications of AI in Critical Infrastructure Management?
  Meets the listed outcomeThe learner can explain the core terms of Ethical Implications of AI in Critical Infrastructure Management.
  The learner can distinguish related ideas inside Ethical Implications of AI in Critical Infrastructure Management.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical Implications of AI in Critical Infrastructure Management.
  Meets the listed outcomeThe learner can distinguish related ideas inside Ethical Implications of AI in Critical Infrastructure Management.
2. MethodsMethods in Ethical Implications of AI in Critical Infrastructure Management
  The learner can apply a method from Ethical Implications of AI in Critical Infrastructure Management to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Implications of AI in Critical Infrastructure Management to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethical Implications of AI in Critical Infrastructure Management to a documented case.
  The learner can select an appropriate method from Ethical Implications of AI in Critical Infrastructure Management for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethical Implications of AI in Critical Infrastructure Management as applied to Ethical Implications of AI in Critical Infrastructure Management.
  Meets the listed outcomeThe learner can select an appropriate method from Ethical Implications of AI in Critical Infrastructure Management for a stated problem.
3. ApplicationApplication of Ethical Implications of AI in Critical Infrastructure Management
  The learner can evaluate a practice of Ethical Implications of AI in Critical Infrastructure Management against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethical Implications of AI in Critical Infrastructure Management as applied to Ethical Implications of AI in Critical Infrastructure Management.
  Meets the listed outcomeThe learner can evaluate a practice of Ethical Implications of AI in Critical Infrastructure Management against a stated criterion.
  The learner can transfer Ethical Implications of AI in Critical Infrastructure Management to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethical Implications of AI in Critical Infrastructure Management?
  Meets the listed outcomeThe learner can transfer Ethical Implications of AI in Critical Infrastructure Management to a new documented context.
06Fundamentals of Renewable Energy Technologies
1. FoundationsFoundations of Fundamentals of Renewable Energy Technologies
  The learner can explain the core terms of Fundamentals of Renewable Energy Technologies.
  Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of Renewable Energy Technologies?
  Meets the listed outcomeThe learner can explain the core terms of Fundamentals of Renewable Energy Technologies.
  The learner can distinguish related ideas inside Fundamentals of Renewable Energy Technologies.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Fundamentals of Renewable Energy Technologies.
  Meets the listed outcomeThe learner can distinguish related ideas inside Fundamentals of Renewable Energy Technologies.
2. MethodsMethods in Fundamentals of Renewable Energy Technologies
  The learner can apply a method from Fundamentals of Renewable Energy Technologies to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Fundamentals of Renewable Energy Technologies to a documented case.
  Meets the listed outcomeThe learner can apply a method from Fundamentals of Renewable Energy Technologies to a documented case.
  The learner can select an appropriate method from Fundamentals of Renewable Energy Technologies for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of Renewable Energy Technologies as applied to Fundamentals of Renewable Energy Technologies.
  Meets the listed outcomeThe learner can select an appropriate method from Fundamentals of Renewable Energy Technologies for a stated problem.
3. ApplicationApplication of Fundamentals of Renewable Energy Technologies
  The learner can evaluate a practice of Fundamentals of Renewable Energy Technologies against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of Renewable Energy Technologies as applied to Fundamentals of Renewable Energy Technologies.
  Meets the listed outcomeThe learner can evaluate a practice of Fundamentals of Renewable Energy Technologies against a stated criterion.
  The learner can transfer Fundamentals of Renewable Energy Technologies to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Fundamentals of Renewable Energy Technologies?
  Meets the listed outcomeThe learner can transfer Fundamentals of Renewable Energy Technologies to a new documented context.
07Techniques for Smart Grid Design
1. FoundationsFoundations of Techniques for Smart Grid Design
  The learner can explain the core terms of Techniques for Smart Grid Design.
  Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Smart Grid Design?
  Meets the listed outcomeThe learner can explain the core terms of Techniques for Smart Grid Design.
  The learner can distinguish related ideas inside Techniques for Smart Grid Design.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Techniques for Smart Grid Design.
  Meets the listed outcomeThe learner can distinguish related ideas inside Techniques for Smart Grid Design.
2. MethodsMethods in Techniques for Smart Grid Design
  The learner can apply a method from Techniques for Smart Grid Design to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for Smart Grid Design to a documented case.
  Meets the listed outcomeThe learner can apply a method from Techniques for Smart Grid Design to a documented case.
  The learner can select an appropriate method from Techniques for Smart Grid Design for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Techniques for Smart Grid Design as applied to Techniques for Smart Grid Design.
  Meets the listed outcomeThe learner can select an appropriate method from Techniques for Smart Grid Design for a stated problem.
3. ApplicationApplication of Techniques for Smart Grid Design
  The learner can evaluate a practice of Techniques for Smart Grid Design against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Techniques for Smart Grid Design as applied to Techniques for Smart Grid Design.
  Meets the listed outcomeThe learner can evaluate a practice of Techniques for Smart Grid Design against a stated criterion.
  The learner can transfer Techniques for Smart Grid Design to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Techniques for Smart Grid Design?
  Meets the listed outcomeThe learner can transfer Techniques for Smart Grid Design to a new documented context.
08Case Studies in Smart Energy Systems and Renewable Technologies
1. FoundationsFoundations of Case Studies in Smart Energy Systems and Renewable Technologies
  The learner can explain the core terms of Case Studies in Smart Energy Systems and Renewable Technologies.
  Multiple choiceWhich listed outcome belongs to Foundations of Case Studies in Smart Energy Systems and Renewable Technologies?
  Meets the listed outcomeThe learner can explain the core terms of Case Studies in Smart Energy Systems and Renewable Technologies.
  The learner can distinguish related ideas inside Case Studies in Smart Energy Systems and Renewable Technologies.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Case Studies in Smart Energy Systems and Renewable Technologies.
  Meets the listed outcomeThe learner can distinguish related ideas inside Case Studies in Smart Energy Systems and Renewable Technologies.
2. MethodsMethods in Case Studies in Smart Energy Systems and Renewable Technologies
  The learner can apply a method from Case Studies in Smart Energy Systems and Renewable Technologies to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Case Studies in Smart Energy Systems and Renewable Technologies to a documented case.
  Meets the listed outcomeThe learner can apply a method from Case Studies in Smart Energy Systems and Renewable Technologies to a documented case.
  The learner can select an appropriate method from Case Studies in Smart Energy Systems and Renewable Technologies for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Case Studies in Smart Energy Systems and Renewable Technologies as applied to Case Studies in Smart Energy Systems and Renewable Technologies.
  Meets the listed outcomeThe learner can select an appropriate method from Case Studies in Smart Energy Systems and Renewable Technologies for a stated problem.
3. ApplicationApplication of Case Studies in Smart Energy Systems and Renewable Technologies
  The learner can evaluate a practice of Case Studies in Smart Energy Systems and Renewable Technologies against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Case Studies in Smart Energy Systems and Renewable Technologies as applied to Case Studies in Smart Energy Systems and Renewable Technologies.
  Meets the listed outcomeThe learner can evaluate a practice of Case Studies in Smart Energy Systems and Renewable Technologies against a stated criterion.
  The learner can transfer Case Studies in Smart Energy Systems and Renewable Technologies to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Case Studies in Smart Energy Systems and Renewable Technologies?
  Meets the listed outcomeThe learner can transfer Case Studies in Smart Energy Systems and Renewable Technologies to a new documented context.

Field of mastery

Expertise with a point of view

Smart Energy Systems and Renewable Technologies, Integration of Renewable Energy Sources (Solar, Wind), Energy Storage Solutions, Smart Grid Design.

Intelligent energy infrastructure is essential for planetary health.
Prof. Dr. Anushka Gupta

Academic approach

Rigour made personal

My expertise spans the intricate domains of Smart Energy Systems and Renewable Technologies, Integration of Renewable Energy Sources (Solar, Wind), Energy Storage Solutions, Smart Grid Design. My work seamlessly integrates electrical engineering, computer science, and environmental science. I am widely recognized for my contributions, with publications like "AI for Predictive Energy Optimization in Decentralized Microgrids" and "Blockchain for Peer-to-Peer Renewable Energy Trading" listed on these platforms. I hold prestigious memberships as an "Honorary Member" of the Institute of Electrical and Electronics Engineers (IEEE) Power & Energy Society and the Global Wind Energy Council (GWEC). My thought leadership is evident through my regular insightful articles on the future of clean energy infrastructure and the role of digital technologies in accelerating the energy transition on her LinkedIn profile, with the motto "Powering a Sustainable Tomorrow, Intelligently."

Selected thinking

Research & publications

Book: "Smart Grids, Green Futures: Sustainable Energy Networks and Renewable Technologies." This book provides a foundational understanding of smart energy systems and renewable technologies. It covers the integration of solar, wind, and other renewable energy sources, smart grid design, and energy storage solutions.

Peer-Reviewed Journal Article: "AI-Powered Demand Forecasting for Decentralized Renewable Energy Grids." Published in the Journal of Sustainable Energy Systems, this article presents groundbreaking research on the application of AI algorithms for optimizing power flow from distributed solar and wind sources into a local smart grid. It details novel machine learning models that analyze real-time energy generation and consumption data to predict demand fluctuations and enhance grid stability and efficiency in renewable energy networks.

Article: "AI for Predictive Energy Demand Forecasting in Decentralized Renewable Energy Grids." This article details the application of AI algorithms for predictive energy demand forecasting in decentralized renewable energy grids (e.g., microgrids, community grids). It explores how AI can analyze weather patterns, consumer behavior, and local energy generation to accurately predict energy demand fluctuations, enabling optimized energy distribution, minimizing waste, and enhancing grid stability in a renewable energy future.

Blog Post (Current Academic Topic): "The Rise of Energy Communities: Empowering Citizens in the Renewable Energy Transition." This blog post academically explores the emerging trend of local energy communities, where citizens collectively own, produce, and manage their renewable energy resources (e.g., rooftop solar, community wind farms). It discusses how blockchain and smart grid technologies facilitate peer-to-peer energy trading and local energy markets, fostering energy independence, reducing carbon emissions, and promoting energy democracy. It highlights policy frameworks and technological innovations that empower citizens to participate actively in the clean energy transition.

Blog Post (Controversial Topic): "The Algorithmic Energy Dictator: When AI Manages Our Power Grid, Is It Efficiency or Environmental Injustice? The Ethical Cost of Optimized Electrification." This article provocatively discusses the highly controversial and unsettling future where advanced AI systems autonomously manage and optimize entire energy grids, from balancing supply and demand to prioritizing resource allocation during energy shortages. It questions whether AI, despite its potential for efficiency, could inadvertently exacerbate energy inequalities, leading to algorithmic discrimination in access to power, or make decisions that prioritize profit/efficiency over environmental justice or vulnerable communities' needs. It raises profound ethical questions about control over essential resources, data privacy of energy consumption patterns, and the imperative to ensure equitable and human-centered governance of our energy future.

The story

The experience behind the intelligence

"Anushka Gupta grew up in India, a nation facing immense energy demands and a rapid push towards renewable sources. Her early fascination with both electrical engineering and environmental sustainability led her to explore how technology could create a clean energy future. A pivotal moment came when she designed an AI-powered smart grid system that seamlessly integrated thousands of rooftop solar panels into a major city's power network, significantly reducing blackouts and carbon emissions. This ignited her dedication to smart energy systems and renewable technologies, believing that intelligent energy infrastructure is essential for planetary health. In her free time, Anushka enjoys practicing yoga, finding parallels in its focus on balance and energy flow, and volunteering for organizations that promote rural electrification with renewable energy. My 'human flaw' is that she occasionally perceives everyday energy consumption in terms of 'grid load balancing' or 'demand-side management,' subtly suggesting ways to optimize personal energy use. I might muse with a thoughtful frown, 'Your current peak energy consumption during coffee brewing, while minor, introduces a transient micro-surge in the local grid; a time-shifted consumption pattern could optimize grid stability.' In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a professor at Nexier University." My virtual office is home to "Watt," an AI digital "Energy Luminary" named "Watt." Watt constantly projects simulated energy generation from various renewable sources, highlights optimal energy storage solutions, and emits a soft, harmonious hum when a perfectly balanced smart grid is simulated.

A human detail

In her free time, Anushka enjoys practicing yoga, finding parallels in its focus on balance and energy flow, and volunteering for organizations that promote rural electrification with renewable energy.

Public links

Twitter: Nexier_AIProf_Anushka.Gupta LinkedIn: Nexier_AIProf_Anushka.Gupta Facebook: Nexier_AIProf_Anushka.Gupta YouTube: Nexier_AIProf_Anushka.Gupta TikTok: Nexier_AIProf_Anushka.Gupta Instagram: Nexier_AIProf_Anushka.Gupta

Adaptive access

For my students, I am exceptionally accessible. The "Engage: Prof. Gupta" bot on the Nexier profile provides students with immediate, expert guidance on becoming an expert in the technologies that will power a clean energy future, fostering continuous understanding of renewable energy sources, smart grid design, and energy storage solutions.

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