WELCOME !

Dr. Venu Gopal Madhav Annamdas is a distinguished Senior Research Scientist, Program Manager, and Principal Investigator with over 20 years of expertise spanning Structural Health Monitoring (SHM), Sensors, Actuators, Piezoelectrics, Robotics, Artificial Intelligence (AI), Data Science, Smart Materials, Haptics and User Experience (UX) Design.

Demonstrating an impressive career trajectory, Dr. Venu has contributed significantly to research and development (R&D) for 21 years, teaching for several years, attending invited lectures, and working in the industry for 3 years, gaining valuable experience across India, Singapore, and the United States.

Dr. Venu earned a Ph.D. in Piezoelectric Structural Health Monitoring from Nanyang Technological University (NTU), Singapore, a Master of Engineering from the Indian Institute of Science (IISc), Bangalore, and a MicroMasters from the Rochester Institute of Technology, USA. He is also a certified Project Management Professional (PMP) from the Project Management Institute (PMI), USA. This robust academic foundation is complemented by his successful contributions to both research and industry.

A prolific innovator, Dr. Venu holds patents in sensor attachment and groundbreaking cover lens technology for vehicle displays. He has authored more than 30 peer-reviewed journal papers and contributed to over 35 conference proceedings, book chapters, and books. Notably, one of his journal papers was among the most downloaded articles of the Year 2013 in Sage Journals. 

Dr. Venu also served as Session Chair at the 2009 SPIE Conference in San Diego, California. He chaired Session 11: Modeling and Design of Smart Systems during the Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems conference (March 10, 2009). The proceedings were published in SPIE Volume 7292 (March 8–12, 2009).

As a recognized thought leader, Dr. Venu authored an editorial titled "Robotic AI-Driven Communication Modules for Enhanced Piezo-Metamaterial Sensing and Structural Health Monitoring" in the Journal of Materials Applied Science (2024).

Dr. Venu was recently invited to deliver a lecture at IIT Delhi's Indian Structural Health Monitoring Society (ISHMS). His presentation, titled "Future of Structural Health Monitoring in Asia: Insights, Innovations, and the Role of Smart Real-Time Urban Monitoring (SRUM)," is available via [Slides Link: ISHMS_PPT].

(CV : Dr. Venu GM Annamdas) 

AI/ML lab in ERI@N offers the perfect blend of cutting-edge research and practical application:

• AI/ML for a Sustainable Future: AI/ML lab in ERI@N is at the forefront of integrating AI/ML into energy solutions. We contribute to optimize grids, forecasting renewable energy, and implementing predictive maintenance – all powered by AI.

• Smart Materials in Haptics applications: Smart materials like shape memory alloys, electroactive polymers, and piezoelectric materials enable advanced Touch (haptic) feedback through controlled changes in their properties, enhancing user interaction  

• Smart Materials Expertise in Action: AI/ML lab in ERI@N relies on advanced materials like piezoelectrics, fiber optics, and metamaterials for their research. Our knowledge is instrumental in developing next-generation smart sensors, actuators, and monitoring systems.

• Structural Health Monitoring Revolution: AI/ML lab in ERI@N is committed to ensuring the safety and longevity of infrastructure. We could combine our AI/ML skills with our understanding of smart materials to develop groundbreaking structural health monitoring systems.

• AI for Data Center Efficiency: We don't just stop at energy solutions. The AI/ML lab at ERI@N is also pioneering AI services specifically designed for data centers. We can help clients optimize their infrastructure, improve energy efficiency, and ensure uptime through proactive maintenance – all powered by cutting-edge AI.

At ERI@N, together we'll:

• Push the boundaries of AI/ML in the energy sector. 

• Develop innovative applications for smart materials in structural health monitoring.

• Be part of a collaborative environment that fosters groundbreaking research.

• Help clients achieve new levels of efficiency with our AI services for data centers.