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dr Vineetha Menon is the 2022 IEEE Huntsville Young Professional of the Year.

Michael Mercier / UAH

dr Vineetha Menon, an assistant professor in the Department of Computer Science at the University of Alabama at Huntsville (UAH), part of the University of Alabama system, was named the 2022 IEEE Huntsville Young Professional of the Year by the Institute of Electrical and Electronics Engineers (IEEE) Huntsville .

“I was both excited and deeply impressed by this technical recognition from the IEEE Huntsville section and the Huntsville community at large,” said Dr. Meno. “This is great recognition from the IEEE Huntsville section and the Huntsville tech community. It showcases the national technology and STEM initiatives and achievements of Huntsville’s tech community.”

According to IEEE Huntsville, candidates for the award must have demonstrated outstanding achievement in a technical job or occupation that addresses wide-reaching and beneficial technical, scientific, social, or economic consequences. This excellence must be demonstrated in their workplace, in the professional organization they are a member of, and/or in community volunteering efforts. You must have demonstrated exceptional dedication, creativity, or leadership in a job or activity that has resulted in outstanding contributions to the technical and economic development of the city of Huntsville and surrounding areas.

dr Menon’s selection makes her a nominee for the Huntsville Associations of Technical Societies (HATS) Bill Roark Young Professional of the Year (YPOY) Award, presented October 6. Huntsville, who has rendered outstanding service to the technical community, in his technical leadership, made a difference as a community volunteer, and is a member of a HATS technical society.

It was presented by IEEE Huntsville Section Chair Dr. Leandro Barajas, and NASA’s Sonya Dillard, winner of the 2022 IEEE Huntsville Professional of the Year Award.

“I am proud to represent the IEEE Huntsville section this year as the 2022 IEEE Huntsville YPOY Award recipient and Bill Roark YPOY Award nominee,” said Dr. Meno. “I look forward to continuing my service to the IEEE Huntsville section and the Huntsville community through contributions to technology, leadership, mentoring and STEM initiatives.”

The research interests of Dr. Menon include:

  • Artificial intelligence (AI) accelerated drug discovery, a collaboration with Dr. Jerome Baudry from UAH, Molecular Biophysicist and Ms. Pei-Ling Chan Chair in the Department of Biological Sciences. The aim is to use AI techniques to speed up the drug discovery process.
  • AI Driven Terrain Recognition and Automated Decision Making in Mobile Robotic Systems, a collaboration with Missouri University of Science and Technology, UAH Department of Computer Science Assistant Professor Dr. Tathagata Mukherjee and UAH Department of Industrial & Systems Engineering and Engineering Management Partners Dr. Bryan Mesmer, associate professor, and Dr. Sampson Gholston, Chairman. dr Menon is leading efforts to lay the groundwork for a long-term study of the applications of artificial intelligence and machine learning in big data analytics techniques for navigating unmanned aerial vehicles such as drones.
  • Explainable AI to evaluate the effectiveness of AI in teams of human agents, US Army joint research with Dr. Mesmer; dr Gholston; and dr Nate Tenhundfeld and Dr. Kristin Weger, assistant professors in the Department of Psychology studying the impact of explainable AI on improved human and AI confidence in automation principles such as drones or self-driving cars. The goal is to integrate explainable AI/interpretable ML models that can both describe the behavior of the AI ​​system and predict the target of interest in a combat environment for a transparent and easy-to-use AI/AA system for automated decision-making in army applications.
  • Big data analytics for sentiment analysis to explore team communication dynamics and situational awareness, joint research with Dr. Weger, Dr. Mesmer and Dr. Gholston exploring the use of big data analytics and AI for sentiment analysis to gain deeper insights at different levels of situational awareness observed in the different simulation scenarios. Research attempts to understand which specific groups of words or feelings are associated with different levels of situational awareness and how the dynamics of team communication frequency and team performance are related to team situational awareness.

“I would like to thank my nominators, mentors, the Faculty of Computer Science, the Dean of the School of Science, Dr. Rainer Steinwandt, my collaborators, colleagues, friends and family who have supported my pursuit of multidisciplinary Big Data research and my service to the professional community,” says Dr. Meno. “Cheers and Go Chargers!”


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