Our Team

Director

Dr. Sanchita Ghose is an Assistant Professor in Computer Engineering and director of the AI-LAMP (AI Lab for Augmented Multimodal Perception) at San Francisco State University. Her current research interest includes developing a deep learning algorithm for multimodal learning and cross-modal retrieval applications, focusing on computer vision, action recognition, sound synthesis, and video processing.

She is the principal investigator and co-investigator in NSF-ERI and DoD-MRI grant projects respectively. She supervises the AI-Lamp Research Team to develop innovative AI-driven technologies that expand the boundaries of human perception, enabling individuals to interact with and comprehend their environment in new and exciting ways.

Office: 1600 Holloway Avenue, SEC 344, San Francisco, CA 94132
Email: sanchitaghose@sfsu.edu
Faculty Webpage: https://engineering.sfsu.edu/faculty-profile-sanchita-ghose

Kazi Ruslan Rahman graduated Cum Laude with a Bachelor’s degree in Electrical Engineering from San Francisco State University. At SF State, he was involved in student leadership, serving as Vice President of IEEE, Secretary for the Engineering Student Board, and Chief Technical Officer of the Society of Hispanic Professional Engineers (SHPE). Additionally, he held the position of Electrical Lead for the Solar Electric Vehicle Team. Ruslan was an active member of the MESA Student Program and represented SF State among 500 peers at the 2021 MESA Student Engineers Conference.

Professionally, Ruslan gained industry experience as an IT Project Management Intern at Cencora (formerly AmerisourceBergen), a Fortune 50 company. In this role, he led agile project processes and applied data analysis techniques to drive efficient project execution and support decision-making.

Originally from Chittagong, Bangladesh, Ruslan began his college journey at Taylor’s University in Malaysia before transferring to San Francisco State University. His academic and professional goals include publishing research on using classifiers to improve V2A generation. By 2025, Ruslan aims to pursue a Master’s in Statistical Data Science. Outside of his academic and professional pursuits, Ruslan enjoys playing the guitar, watching sports, and traveling to new places.

Email: rahmankaziruslan@gmail.com
LinkedIn: linkedin.com/in/kaziruslanrahman

I am Shiv Malvi, a graduate student specializing in Electrical and Computer Systems with a focus on Embedded Systems. With a solid foundation in electronics and experience in various applied research areas, current projects involve Sound Source Localization and Separation, aimed at enhancing systems for detecting and isolating sound sources within complex environments. This research taps into the potential of advanced signal processing and machine learning to improve auditory scene analysis, particularly for applications in robotics, surveillance and smart systems.

Previous research includes work in Shrimp Farming and Surveillance Systems, experiences that offered a broader perspective on the versatility and impact of embedded technologies across diverse fields. These projects have driven a commitment to advancing embedded systems to solve real-world challenges. Future aspirations include contributing to innovations in smart sensing and autonomous systems, where the integration of embedded electronics and advanced processing can redefine industry standards and elevate technology solutions for critical applications.

Shiv Malvi, Graduate Student and Research Assistant
Email: shivmalvi14@gmail.com
DOI: https://www.ijraset.com/best-journal/a-study-on-shrimp-farming-and-surveillance
LinkedIn: https://www.linkedin.com/in/shiv-malvi-642147171

I am a master’s student in Electrical and Computer Engineering, with a bachelor’s degree in Electronics Engineering, completed in 2019. Since then, I have gained experience in various domains, including Geographical Information Systems (GIS), Embedded Systems, IoT, Digital Signal Processing, Machine Learning, and Deep Learning. My primary research interest lies in neuromorphic computing.

Currently, I am working on a video captioning model, which generates descriptive text for video content by analyzing visual and temporal features. This project combines computer vision and natural language processing to understand scenes, actions, and contextual elements in video frames. Additionally, I am working as a Teaching Assistant, supporting students in introduction to C programming course.

With my skills and knowledge, I aim to make a meaningful contribution to both academia and industry, focusing on advancing technology that bridges complex computing with real-world applications.

Aditya Bangde, Graduate Student, Teaching and Research Assistant
Email: bangdework@gmail.com
LinkedIn: linkedin.com/in/aditya-bangde-372447178

I am a graduate student in Mathematics, with a Bachelors in Math and Physics from Cal Poly Pomona. I have gained various experience in applied topics including Machine Learning, Digital Signal Processing, and Electronic Devices. My research interest revolve around applying mathematics such as inverse problems, geometry of multiple DOF systems, algorithms, etc. I also work as a math instructor and tutor.

Current projects include audio generation from video by way of Diffusion. Mathematical research is in Graph Theory, but I enjoy many branches of Mathematics, especially Geometry. I was drawn to this lab because of the exciting prospects and interdisciplinary nature of the research vision. My hobbies include taking long drives, exploring, and reading.

With a passion for teaching and research, my academic and professional goals include publishing papers and producing quality documentation.

Panya , Graduate Student & Research Assistant
Email: psukphranee@gmail.com
LinkedIn: linkedin.com/in/psukphranee

Undergraduate Student Trainees

Therese Caburnay [on the left] is currently a sophomore majoring in Computer Engineering. She has an interest in computer vision because she finds it interesting how a computer can learn to associate a picture with a sound or result like a human being but produce something that is beyond human capabilities.

Arjun Prasad [in middle] and Roman Rodriguez [in right] are sophomore students studying Electrical Engineering. They are interested in using AI to aid people with disabilities, and eager to learn more about AI Automation. They want to be involved in AI projects helping disadvantaged people within society.

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