Year 5: HSI Grant: Summer Research Internship

Monday, June 15, 2026 - Wednesday, August 19, 2026

Alexander Payumo, Amith Kamath Belman, Christopher Pham, David Parent, Feruza Amirkulova, Fredrick Larabee, Gautam Kumar, Hohyun Lee, JeongHee Kim, John Lee, Junaid Anwar, Kaikai Liu, Katherine Wilkinson, Kuo ken Huang, Laura Miller Conrad, Lin Jiang, Maryam Khazaei, Marziya Hasan, Mike Nguyen, Navrati Saxena, Patrick Jurney, Robert Morelos-Zaragoza, Sayma Akther, Shrikant Jadhav, William Andreopoulos, and Yunjian Qiu

In the Summer of 2026, Gavilan CC, SJCC, De Anza, and 91做厙 Students participated in the Summer Student Research Internship Program with 91做厙 Faculty Members. We had a total of 26 91做厙 Faculty mentors working with students throughout their research projects. Each group is working fully in person, hybrid, or strictly online, but they do meet every week to discuss the status of the project and what to do next.

The students presented their results to their families, colleagues, and faculty members at their designated college.

  • Gavilan CC presented on Thursday, August 13, 2026
  • SJCC presented on Friday, August 14, 2026
  • De Anza presented on Wednesday, August 19, 2026

The projects were:

  • Alexander Payumo
    • Determining the effect of glucose availability on thyroid hormone-driven loss of proliferation in rodent and human cardiomyocytes.
  • Amith Kamath Belman
    • Building and Evaluating User-JEPA for Long-Horizon Preference Prediction.
    • Multimodal Malware Classification Using Vision Transformers and Opcode Analysis.
    • Authenticity-Aware Identity-Disjoint Audio-Visual Deepfake Detection.
  • Christopher Pham
    • Using Predictive Data Analysis and Distance Modeling to Examine the Relationship between Hospital Access and Preventable Hospitalizations.
    • Predicting Semiconductor Wafer Defects: A Data Analytics and Predictive Modeling Approach.
    • Interactive Analysis of PCB Manufacturing Defects Using Power BI.
    • Drone Obstacle Avoidance System Using YOLOv8 with Visual and Echolocation Sensor Fusion.
  • David Parent
    • Dry Etch Boundary Exploration with CHF3 and O2 on SiO2 Thin Films.
    • Optimizing Photolithography Patterning Through UV Exposure and Spin Speed.
    • Optimization of Solar Cell Fabrication for Improved Shunt Resistance.
    • Machine Learning Prediction of Aluminum Thin-Film Thickness from Four-Point Probe Measurements.
  • Feruza Amirkulova
    • Reinforcement Learning for Acoustic Metamaterials with MATLAB and Simulink.
  • Fredrick Larabee
    • Transcription and Digitization of Specimen Labels in The San Jos矇 State Entomology Museum.
  • Gautam Kumar
    • Modulating EEG Band Power using a Closed-Loop Auditory Beat Stimulation.
  • Hohyun Lee
    • Optimization for an Off-Grid PV Energy System For Underserved Communities.
    • Modular Housing Prototypes for Sustainable Thermal Management.
  • JeongHee Kim
    • Development of Foundational Analog Circuit Design Skills Through Pulse Oximeter Prototyping.
  • John Lee
    • Morphology of Titanium Dioxide Thin-Films by Physical Vapor Deposition onto PDMS.
  • Junaid Anwar
    • Assembly, Modeling, and Flight Simulation of a Quadcopter Drone.
  • Kaikai Liu
    • Driver Assistance System with Visual and Metric Depth Estimation.
    • Vision-Based Autonomous Driving on an Embedded Jetson Platform.
  • Katherine Wilkinson
    • Decreased response to stretch in muscle proprioceptors in a mouse model of Angelman Syndrome.
    • Is NaV1.6 Necessary for Muscle Spindle Proprioceptor Function?
  • Kuo Ken Huang
    • Enabling New Data Streams Through Energy Harvesting Systems.
  • Laura Miller Conrad
    • Synthesis of Potential Antimicrobial Adjuvants for Pseudomonas aeruginosa.
  • Lin Jiang
    • Feasibility Study of VLM/VLA Training Using Intel RealSense and SO-101.
  • Maryam Khazaei
    • Machine Learning Pipeline for TCGA-LUAD Clinical Outcome Prediction Project.
    • Clinical Data Analysis: TCGA-LUAD Lung Cancer Dataset.
    • Identifying Neighborhood Unmet Need & Resilience using Geography-Aware Machine Learning.
  • Marziya Hasan
    • Relationship between Blowing Agent, Surfactant, and Polyurethane Foam Performance.
  • Mike Nguyen
    • ShrimpSense: Anatomy and Water Quality.
    • Millimeter-Wave Sensing for Non-Invasive Particle Detection in Food.
  • Navrati Saxena
    • Applying AI/ML Models to Improve Defect Detection and Root Cause Analysis in Semiconductor Manufacturing.
    • AI/ML-Driven PCB Defect Classification in Semiconductor Manufacturing for Optimization and Automation to Achieve Zero Defect.
  • Patrick Jurney
    • Effects Of Wall Shear Stress On Endothelial Cell Behavior Using Controlled Microfluidic Flow.
    • Characterization of Neonatal Rat Cardiomyocyte Maturation by Quantifying Live Cell and Mitochondrial Morphology Over Time Using Holotomographic Microscopy.
  • Robert Morelos-Zaragoza
    • Hands-On Wireless Link Experiments Using Software-Defined Radios.
  • Sayma Akther
    • Analyzing Disability-Related Human Activities Using Wearable Sensor Data.
    • A Review of Rhythmic Gesture Recognition Datasets for Interactive Music and Social Robotics.
  • Shrikant Jadhav
    • Deep Learning-Based Classification of Retinal Diseases Using Optical Coherence Tomography (OCT).
  • William Andreopoulos
    • Evaluation of Biomedical NER and Relation Extraction Models on ChemProt and EU-ADR.
    • Soft-Prompt Conditioned ESM-2 for Multi-Task Antimicrobial Resistance Prediction.
  • Yunjian Qiu
    • Lower-Limb Exoskeleton Design for Elderly Dogs: 3D Printed Parts Modeled in SolidWorks.
    • Developing a Machine-Learning Pick-and-Place Demo Using the SO-ARM101 Robot Arm.

 

Total of Mentors: 26

Total of Students: 81

SJCC: 24

Gavilan CC: 37

DeAnza: 17

91做厙: 3