Website: https://fahimehorvatinia.github.io/
Fahimeh Orvati Nia is a PhD student in Computer Engineering at Texas A&M University. Her research focuses on artificial intelligence, computer vision, and machine learning, with applications in image processing, anomaly detection, and graph neural networks. She holds an M.Sc. in Electrical Engineering from the University of Notre Dame and a B.Sc. in Control Engineering from Amirkabir University of Technology. Fahimeh is passionate about leveraging AI to solve real-world challenges, particularly in agriculture, robotics, and smart systems
Aditya Rajiv
Aditya Rajiv is a data science professional with a strong enthusiasm for full-stack AI engineering. He has a keen interest in problem-solving and in developing multimodal AI systems using cutting-edge technologies to create meaningful impact. He specializes in bridging the gap between data research and production-grade engineering. His approach goes beyond training models, focusing on building complete AI ecosystems that span data orchestration, model architecture, deployment, and monitoring.
Jarin Ritu
Jarin Ritu is a PhD student in Computer Engineering. Jarin completed her Bachelor of Science in Information Technology from Jahangirnagar University, Bangladesh. Her research interests are in computer vision, machine learning, and artificial intelligence. In her spare time, she enjoys playing the guitar, watching movies, and cycling. Learn more about Jarin on her personal website.
Shima Salehi
Shima Salehi is a Ph.D. student in Electrical and Computer Engineering at Texas A&M University. Her research focuses on machine learning, computer vision, and multimodal systems, with a particular interest in integrating advanced AI techniques to develop innovative solutions. Outside of her academic pursuits, Shima enjoys running, camping, and engaging in meaningful conversations with people. Learn more about Shima at her personal website.
Dhanush Shekar
Dhanush Dhana Shekar is a Master’s student in Data Science (Electrical and Computer Engineering track) at Texas A&M University. His primary interests are in machine learning and deep learning, with a particular focus on convolutional neural networks. He often approaches problems from a computer vision perspective, modeling them as visual tasks whenever possible. He is especially interested in using artificial intelligence to bridge interdisciplinary gaps by applying machine learning techniques to real-world challenges beyond traditional technology domains, including healthcare and other data-driven scientific and engineering applications. Outside of academics, he enjoys playing table tennis and closely follows Formula 1 and soccer.
Prathmesh Thorwe
Prathmesh Thorwe graduated in 2021 from the Birla Institute of Technology and Science with a degree in Electronics and Communication. He spent three years at Qualcomm as a System Validation and Automation Engineer, where he focused on the functional validation and automation of SoC features. Currently pursuing a Master’s degree in Computer Engineering at Texas A&M University, Prathmesh’s research interests include machine learning, computer vision, and embedded systems, with a particular emphasis on applying computer vision techniques to solve real-world challenges.
Uday Vysyaraju
Bio: Uday Vysyaraju is a Master’s Student in Data Science. Uday completed his Bachelors and Masters of Technology in Electronics and Electrical Communication Engineering from Indian Institute of Technology Kharagpur. He worked as an AI Specialist Researcher for 4 years at LG CNS, Seoul, Korea. His research interests are in Machine Learning and Computer Vision. In his free time, Uday enjoys cooking, hiking and cycling.
Yash Zambre
Yash is currently a Master’s student in Electrical Engineering. He received his Bachelors in Technology in Electronics and Telecommunication from Vishwakarma Institute of Technology. Yash’s research interests are in machine learning and computer vision.
- Hired as Software Automation Engineer – Vendor at Google