Continued Master of Science in Computer Engineering at Texas A&M University
Irené Masabarakiza
Hired as a Software Development Engineer at Amazon
Faculty
Joshua Peeples
Assistant Professor
Dr. Joshua Peeples is an ACES Faculty Fellow and incoming Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University. Dr. Peeples received his Bachelor of Science degree in electrical engineering with a minor in mathematics from the University of Alabama at Birmingham. He earned his Ph.D. in the Department of Electrical and Computer Engineering at the University of Florida with Dr. Alina Zare. Dr. Peeples has been recognized with several awards, including the Florida Education Fund’s McKnight Doctoral Fellowship and National Science Foundation Graduate Research Fellowship. In addition to research and teaching, Dr. Peeples is dedicated to service and advocacy for students at the university and in the community.
Graduate Students
Sree Chandar
Sree Chandar is currently pursuing a Master’s degree in Computer Engineering. She holds a Bachelor’s degree in Electronics and Communication Engineering from SRM Institute of Science and Technology in Chennai, India. Prior to her master’s studies, she gained valuable experience as a Validation Engineer at Stellantis (Fiat Chrysler Automobiles). Sree is committed to exploring advancements in technology and is driven to push the boundaries of innovation. Outside of her studies and work, she enjoys immersing herself in world cinema and delving into fiction novels.
- Hired as Design Verification Engineer at MIPS
Logan Garcia
Logan Garcia is currently pursuing a Master of Science in Computer Engineering. He graduated from Texas A&M with a Bachelor’s in Electrical Engineering and a minor in Computer Science in May 2024. He received a GEM Master’s Fellowship. Through the GEM Fellowship, he had his first internship in Summer 2024 at IBM’s Silicon Valley Lab (SVL) located in San Jose CA. He worked with a team on a chatbot that uses retrieval augmented generation (RAG) to provide an existing LLM with knowledge based on IBM documents, without the need to train or tune the model. His research and career interests include artificial intelligence, machine learning, and robotics.
Angelina Ibarra
Tejashri Kelhe
Bio: Tejashri Kelhe is currently pursuing a Master’s degree in Data Science. She earned her Bachelor’s degree in Electronics and Telecommunication from Cummins College of Engineering, Pune University. Her research focuses on Artificial Intelligence, Deep Learning, Computer Vision, and Meta Learning. Beyond her academic pursuits, she enjoys engaging in songwriting, poetry, music production, and digital art.
Omar Khater
Omar Khater is a masters of science student in computer engineering at Texas A&M University. He is an Amazon Web Services (AWS) certified Machine Learning Engineer and comes with 3 years of industry experience when he worked as a machine learning engineer at Si-Ware Systems.
Amirmohammad Mohammadi
Website: https://amirmhm95.github.io/amirmmohammadi/
Bio: Amirmohammad Mohammadi is a PhD student in Electrical and Computer Engineering at Texas A&M University, where he specializes in the intersection of signal processing and artificial intelligence. With a background in Electrical Engineering from the University of Tabriz and Sharif University of Technology, his current research focuses on the development of AI algorithms for applications in time-series analysis and computer vision.
Akshatha Mohan
Akshatha Mohan is a Master’s student in Computer Engineering. Akshatha completed her Bachelor of Science in Electronics and Communication at Bangalore Institute of Technology. Her current research focus is in the areas of computer vision and machine learning. In her free time, Akshatha enjoys sketching and writing articles.
Pragati Naikare
Website: https://pragatinaikare.wixsite.com/website-2
Bio: Pragati Naikare is currently pursuing a Master’s degree in Data Science. She earned her Bachelor of Engineering in Computer Science with a Gold medal from Pune University (India). Her research focuses on Artificial Intelligence, Machine Learning, and Computer Vision. She enjoy painting, exploring new places, reading articles on technology/science/fiction, and playing outdoor games.
Shaina Nair
Shaina Nair is currently pursuing a Master’s degree in Data Science. Before coming to America, she worked as an Associate Data Scientist at KPMG for 2.5 years. She holds a Bachelor’s degree in Electronics and Communication Engineering from Manipal Institute of Technology, often referred to as India’s version of MIT. Her current research interests are focused on Reinforcement Learning and Natural Language Processing (NLP), particularly in their applications in Recommender Systems. Outside of her academic pursuits, Shaina enjoys anime, comics, football, and all things entertainment.
Fahimeh Orvati Nia
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
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.
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
Undergraduate Students
Nailah Abdur-Razzaaq
Major: Computing
Bio: Nailah Abdur-Razzaaq is a senior (Class of 2025) at Texas A&M University, majoring in Computing with a minor in Psychology. Her academic and research interests focus on Artificial Intelligence and Machine Learning, particularly in healthcare. Nailah serves as the Telecommunications Chair for TAMU NSBE during the 2024-2025 academic year. Outside of her studies and leadership roles, she enjoys coding, creating intricate beadwork, and playing volleyball.
Bomi Adeleke
Major: Electrical Engineering
Bio: Bomi Adeleke is currently a sophomore electrical engineering (Class of 2027). She’s currently working on Realizing the Full Potential of Respiratory Health Evaluation by Leveraging Machine Learning Models.
Atharva Agashe
Atharva Agashe is currently pursuing a Master of Science in Computer Engineering, having completed his bachelor’s degree in Electronics and Telecommunication Engineering from Pune Institute of Computer Technology. His research interests include Machine Learning, Computer Vision, Robotics, and Distributed Systems. An avid enthusiast of cricket, soccer and esports, Atharva also enjoys playing musical instruments.
Aditya Biradar
Aditya Biradar is a computer engineering major (class of 2025). He is working on the Automating MYSCOPE project. Aditya’s hobbies include Basketball and Cricket.
Jason Champagne
Major: Electrical Engineering (Honors)
Lucian Chauvin
Website: https://lucianchauvin.com/
Bio: Lucian Chauvin is a sophomore undergraduate student at Texas A&M University. He is a dual major in both computer science and pure mathematics. His research interests include discrete math, logic, and theoretical computer science. In his spare time, he enjoys reading, watching movies, and playing games.
Godson Edewor
Major: Electrical Engineering
Bio: Godson Edewor is a senior at Texas A&M University, pursuing a degree in Electrical Engineering. His primary interests lie in applying modern machine learning techniques to hardware development. In his free time, Godson enjoys reading and participating in intramural recreational sports.
Kosi Ezewudo
Major: Electrical Engineering
Jack Gauderman
Bio: Jack Gauderman is a junior electrical engineering major (class of 2025). He is working on the Automating MYSCOPE project. Jack’s hobbies include Tennis and Rock Climbing.
Somil Gupta
Major: Electrical Engineering
Bio: Somil Gupta is an undergraduate electrical engineering student. He has a heavy software background and has done work in data science, natural language processing (NLP), and mobile/web app development. His research interests are artificial intelligence, machine learning, computer vision, and NLP. Somil will be assisting with the synthetic aperture radar imagery anomaly detection project.
Connor Jameson
Connor Jameson is currently a senior Electrical Engineering student with a focus in Computer Engineering and Systems. He will be assisting with the Anomaly Detection for Synthetic Aperture Radar project. Outside of research, his interests include reading, hiking, and attending live music shows.
Amran Kassaye
Major: International Affairs
Salim Al Kharsa
Salim Al Kharsa is an Electrical Engineering major (class of 2024). He will be assisting in developing neural handcrafted features project during the Summer 2023. Outside of research, Salim enjoys swimming and watching basketball.
Jaden McClary
Major: Computer Science (Honors)
Minor: Mathematics
Bio: Jaden McClary is a sophomore honors student majoring in Computer Science with a minor in Mathematics. His technical interests include natural language processing and computer vision. Beyond his academic and research pursuits, Jaden enjoys playing basketball, lifting weights, and exploring new cuisines.
Grant McNatt
Major: Biomedical Engineering
Bio: Grant McNatt is a junior at Texas A&M University pursuing a Bachelor of Science in Biomedical Engineering with a minor in Computer Science. Specializing in computation and imaging, sensing, and digital health, he is interested in artificial intelligence, computer vision, and neuroscience. Through the Texas A&M College of Medicine’s Summer Undergraduate Research Program, he interned at the Reddy Lab under Dr. Samba Reddy, applying recurrence quantification analysis to study trends in epileptogenesis related to nerve agent exposure and traumatic brain injury. Actively involved on campus, Grant serves his community in Aggies for Limbs and volunteers at St. Joseph Health Regional Hospital. In his free time, he enjoys backpacking, traveling, and cooking.
Michael Morse
Major: Biochemistry
Bio: Michael Morse is a senior majoring in Biochemistry. He is passionate about pursuing a career in machine learning, particularly in its applications to drug discovery and medical imaging.
Ekdev Rajkitkul
Major: Computer Science (Senior)