IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
February 18, 2026, 6:00 PM – 7:30 PM (MDT)
Santosh Kumar
- Technical Lead (AI), HCL America Inc. (HCLTech)
- Computer, Information Theory, and Robotics Vice Chair
Mr. Santosh Kumar is a Senior Member of IEEE, Full Member of Sigma Xi, and Professional Member of ACM. Mr. Kumar holds a Bachelor of Engineering degree in Electronics and Telecommunication from Savitribai Phule Pune University (2008) and an Executive Program in Business Analytics from the Indian Institute of Management Calcutta (2017). With over 15 years of experience in software engineering, artificial intelligence and enterprise innovation, Mr. Kumar serves as Technical Lead (AI) at HCL America Inc. (HCLTech). Authored more than 30 peer-reviewed research papers and several books on Artificial Intelligence, Patents and delivered invited talks at IEEE and other AI summits. In addition, Mr. Kumar serves as Vice Chair – IEEE CIR Chapter, University of Colorado Denver, mentoring emerging professionals and promoting AI education within the IEEE Denver Section.
Presentation: Agentic AI: Shaping the Future of Responsible and Generative Intelligence
Abstract: Artificial Intelligence is entering a new phase defined by systems that can learn, adapt, and collaborate with minimal human input. Agentic AI combines autonomy, generative models, and ethical design to build intelligent systems that act responsibly while learning from their environment. This transformation introduces greater transparency, reliability, and trust into automation. Going beyond conventional AI, Agentic systems reason across complex contexts and make explainable, human-aligned decisions. They merge Large Language Models (LLMs), federated learning, and explainable AI to deliver secure, privacy-preserving intelligence across healthcare, insurance, and enterprise domains. This talk explores practical applications, ethical challenges, and IEEE’s role in advancing trustworthy autonomy for the future. By fostering responsible and generative intelligence, Agentic AI paves the way for a more transparent, adaptive, and human-centric technological ecosystem.
Location: Virtual. Zoom
Zoom Link: https://us05web.zoom.us/j/82086808974?pwd=kJwpet7yOOsqaPBt2TkMKp3Ypn4VKd.1
Invited: Everyone is welcome.
Cost: Free
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
March 11, 2026, 6:00 PM – 7:30 PM (MDT)
Subbarao Pydikondala
- AI Technology Strategist
- Senior Member, and IEEE Denver Computer Society Vice Chair
Mr. Subbarao Pydikondala holds a bachelor’s degree in Computer Science and Engineering from Bharathidasan University and an Executive MBA from Quantic. With over 20 years of experience, Mr. Pydikondala serves as a Principal Architect at DocuSign, leading enterprise transformation initiatives across AI, Revenue Operations, and integrated platforms such as Salesforce, Microsoft, and Oracle.
Mr. Pydikondala is recognized for driving innovation in the enterprise domain and has presented at industry-leading events, including Dreamforce, AI Summit New York focusing on Agentic AI, and its safe adoption in enterprise workflows. Mr. Pydikondala’s work bridges strategic vision and real-world implementation, shaping how organizations embrace AI with digital agility. In addition, Mr. Pydikondala actively contributes to the IEEE Denver Computer Society, mentoring emerging tech talent and advancing community learning.
Presentation: Design Patterns for Agentic AI Systems: Lessons from Distributed Systems
Abstract: Agentic AI systems represent a shift from stateless model inference to long-running, autonomous, and distributed intelligent entities that reason, coordinate, and act within complex environments. This session frames Agentic AI as a systems design problem and draws on established principles from distributed systems to introduce reusable architectural patterns for building reliable and governable agentic systems. Key patterns—including planner–executor separation, consensus-based decision making, event-driven agents, and shared memory with eventual consistency—are examined through real-world system behaviors and failure modes. The discussion highlights how these patterns improve robustness, observability, and human oversight while mitigating risks such as hallucination propagation and uncontrolled autonomy. The session concludes by outlining open research challenges in verification, consistency, and testing of emergent agent behavior.
Location: University of Colorado, Boulder
Invited: Everyone is welcome.
Cost: Free
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
April 15, 2026, 6:00 PM – 7:30 PM (MDT)
Vasanth Rajendran
- Software Development Manager
- Amazon
Vasanth Rajendran holds a Master of Science in Computer Science from the University of Illinois Chicago and a Bachelor of Engineering in Computer Science from Anna University Chennai. He has fourteen years of experience in artificial intelligence, large-scale system design, and applied machine learning. He currently leads engineering programs in generative content systems, multimodal search, personalized discovery, and automated content validation at Amazon, serving retail customers at global scale. His research interests include generative models, multimodal understanding, deep reinforcement learning, and temporal pattern analysis. He has published peer-reviewed work in IEEE venues and serves as a reviewer and committee member for AI and computing conferences. He also volunteers as a judge and mentor for student innovation and engineering programs.
Presentation: Building Intelligent Commerce Using Generative and Multimodal AI
Abstract:This talk explores how generative and multimodal AI systems are transforming product discovery, personalization, and decision making in modern retail environments. The session explains how search engines and product platforms combine embeddings, retrieval models, and multimodal understanding to interpret both images and text. The talk also covers how generative models create content across text, imagery, and layout structures; how quality, safety, and approval systems validate content before publication; and how these pipelines are deployed at scale in consumer-facing products. The session concludes with an outlook on next generation agent based automation, multimodal model capabilities, and emerging research directions. The content is designed to be accessible to students, engineers, and AI enthusiasts without requiring deep familiarity with low-level systems.
Location: TBD
Invited: Everyone is welcome.
Cost: Free
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
May 20, 2026, 6:00 PM – 7:30 PM (MDT)
Scott Swindell
Presentation: Retrieval Augmented Generation (RAG) Pipelines
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
September 16, 2026, 6:00 PM – 7:30 PM (MDT)
Dana Irvin
Presentation: Embedded Systems Engineering
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
October 21, 2026, 6:00 PM – 7:30 PM (MDT)
Franklin Powers
Presentation: Software Engineering
Call for future speakers
Are you a graduate (or undergraduate) student looking for an opportunity to present your Ideas, Thesis, Project, or Dissertation?
Are you a scientist, researcher, or professional looking to share your knowledge?
Here is your chance!
All Computer (HW / SW), Information Theory, Computational Intelligence, Robotics and Automation engineering and technology domains are welcome.
Here is what you need to provide:
- A brief bio about yourself
- Title for the presentation
- Abstract of the topic
- Your availability
We respect our speakers !
Contact us at cir.denver@ieee.org , and one of our volunteer officers will help you with the rest.
We are here to help you.
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
February 18, 2026, 6:00 PM – 7:30 PM (MDT)
Santosh Kumar
- Technical Lead (AI), HCL America Inc. (HCLTech)
- Computer, Information Theory, and Robotics Vice Chair
Mr. Santosh Kumar is a Senior Member of IEEE, Full Member of Sigma Xi, and Professional Member of ACM. Mr. Kumar holds a Bachelor of Engineering degree in Electronics and Telecommunication from Savitribai Phule Pune University (2008) and an Executive Program in Business Analytics from the Indian Institute of Management Calcutta (2017). With over 15 years of experience in software engineering, artificial intelligence and enterprise innovation, Mr. Kumar serves as Technical Lead (AI) at HCL America Inc. (HCLTech). Authored more than 30 peer-reviewed research papers and several books on Artificial Intelligence, Patents and delivered invited talks at IEEE and other AI summits. In addition, Mr. Kumar serves as Vice Chair – IEEE CIR Chapter, University of Colorado Denver, mentoring emerging professionals and promoting AI education within the IEEE Denver Section.
Presentation: Agentic AI: Shaping the Future of Responsible and Generative Intelligence
Abstract: Artificial Intelligence is entering a new phase defined by systems that can learn, adapt, and collaborate with minimal human input. Agentic AI combines autonomy, generative models, and ethical design to build intelligent systems that act responsibly while learning from their environment. This transformation introduces greater transparency, reliability, and trust into automation. Going beyond conventional AI, Agentic systems reason across complex contexts and make explainable, human-aligned decisions. They merge Large Language Models (LLMs), federated learning, and explainable AI to deliver secure, privacy-preserving intelligence across healthcare, insurance, and enterprise domains. This talk explores practical applications, ethical challenges, and IEEE’s role in advancing trustworthy autonomy for the future. By fostering responsible and generative intelligence, Agentic AI paves the way for a more transparent, adaptive, and human-centric technological ecosystem.
Location: Virtual. Zoom
Zoom Link: https://us05web.zoom.us/j/82086808974?pwd=kJwpet7yOOsqaPBt2TkMKp3Ypn4VKd.1
Invited: Everyone is welcome.
Cost: Free
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
March 11, 2026, 6:00 PM – 7:30 PM (MDT)
Subbarao Pydikondala
- AI Technology Strategist
- Senior Member, and IEEE Denver Computer Society Vice Chair
Mr. Subbarao Pydikondala holds a bachelor’s degree in Computer Science and Engineering from Bharathidasan University and an Executive MBA from Quantic. With over 20 years of experience, Mr. Pydikondala serves as a Principal Architect at DocuSign, leading enterprise transformation initiatives across AI, Revenue Operations, and integrated platforms such as Salesforce, Microsoft, and Oracle.
Mr. Pydikondala is recognized for driving innovation in the enterprise domain and has presented at industry-leading events, including Dreamforce, AI Summit New York focusing on Agentic AI, and its safe adoption in enterprise workflows. Mr. Pydikondala’s work bridges strategic vision and real-world implementation, shaping how organizations embrace AI with digital agility. In addition, Mr. Pydikondala actively contributes to the IEEE Denver Computer Society, mentoring emerging tech talent and advancing community learning.
Mr. Pydikondala is recognized for driving innovation in the enterprise domain and has presented at industry-leading events, including Dreamforce, AI Summit New York focusing on Agentic AI, and its safe adoption in enterprise workflows. Mr. Pydikondala’s work bridges strategic vision and real-world implementation, shaping how organizations embrace AI with digital agility. In addition, Mr. Pydikondala actively contributes to the IEEE Denver Computer Society, mentoring emerging tech talent and advancing community learning.
Presentation: Design Patterns for Agentic AI Systems: Lessons from Distributed Systems
Abstract: Agentic AI systems represent a shift from stateless model inference to long-running, autonomous, and distributed intelligent entities that reason, coordinate, and act within complex environments. This session frames Agentic AI as a systems design problem and draws on established principles from distributed systems to introduce reusable architectural patterns for building reliable and governable agentic systems. Key patterns—including planner–executor separation, consensus-based decision making, event-driven agents, and shared memory with eventual consistency—are examined through real-world system behaviors and failure modes. The discussion highlights how these patterns improve robustness, observability, and human oversight while mitigating risks such as hallucination propagation and uncontrolled autonomy. The session concludes by outlining open research challenges in verification, consistency, and testing of emergent agent behavior.
Location: University of Colorado, Boulder
Invited: Everyone is welcome.
Cost: Free
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
April 15, 2026, 6:00 PM – 7:30 PM (MDT)
Vasanth Rajendran
- Software Development Manager
- Amazon
Vasanth Rajendran holds a Master of Science in Computer Science from the University of Illinois Chicago and a Bachelor of Engineering in Computer Science from Anna University Chennai. He has fourteen years of experience in artificial intelligence, large-scale system design, and applied machine learning. He currently leads engineering programs in generative content systems, multimodal search, personalized discovery, and automated content validation at Amazon, serving retail customers at global scale. His research interests include generative models, multimodal understanding, deep reinforcement learning, and temporal pattern analysis. He has published peer-reviewed work in IEEE venues and serves as a reviewer and committee member for AI and computing conferences. He also volunteers as a judge and mentor for student innovation and engineering programs.
Presentation: Building Intelligent Commerce Using Generative and Multimodal AI
Abstract:This talk explores how generative and multimodal AI systems are transforming product discovery, personalization, and decision making in modern retail environments. The session explains how search engines and product platforms combine embeddings, retrieval models, and multimodal understanding to interpret both images and text. The talk also covers how generative models create content across text, imagery, and layout structures; how quality, safety, and approval systems validate content before publication; and how these pipelines are deployed at scale in consumer-facing products. The session concludes with an outlook on next generation agent based automation, multimodal model capabilities, and emerging research directions. The content is designed to be accessible to students, engineers, and AI enthusiasts without requiring deep familiarity with low-level systems.
Location: TBD
Invited: Everyone is welcome.
Cost: Free
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
May 20, 2026, 6:00 PM – 7:30 PM (MDT)
Scott Swindell
Presentation: Retrieval Augmented Generation (RAG) Pipelines
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
September 16, 2026, 6:00 PM – 7:30 PM (MDT)
Dana Irvin
Presentation: Embedded Systems Engineering
IEEE Denver Computer, Information Theory & Robotics Society, Computational Intelligence Society – Technical Meeting
October 21, 2026, 6:00 PM – 7:30 PM (MDT)
Franklin Powers
Presentation: Software Engineering
Call for future speakers
Are you a graduate (or undergraduate) student looking for an opportunity to present your Ideas, Thesis, Project, or Dissertation?
Are you a scientist, researcher, or professional looking to share your knowledge?
Here is your chance!
All Computer (HW / SW), Information Theory, Computational Intelligence, Robotics and Automation engineering and technology domains are welcome.
Here is what you need to provide:
- A brief bio about yourself
- Title for the presentation
- Abstract of the topic
- Your availability
We respect our speakers !
Contact us at cir.denver@ieee.org , and one of our volunteer officers will help you with the rest.
We are here to help you.