Spring 2024 Seed Grant Award Winners
Below are the winners of theSpring 2024 Seed Grant Program competition. Faculty were asked to submit an abstract and brief proposal, including a timeline that demonstrated how this seed funding would help to develop a highly competitive proposal for extramural funding. Seventy-two applications were received from Stony Brook colleges, including, but not limited to, the College of Arts and Sciences, the College of Business the College of Engineering and Applied Sciences, the Renaissance School of Medicine, the School of Health Professions, and the School of Marine and Atmospheric Sciences. The following projects were selected for funding with an award start date of August 1, 2024.
Eric Brouzes, Department of Biomedical Engineering, KennethShroyer, Department of Pathology: Point of Care Digital Platform for Cervical Cancer Prognosis
Eva Carceles Poveda, Dana Golden, Ria Rajib Shah, Department of Economics: The International Determinants of Shareholder Disagreement
Nilanjan Chakrabortyand Kedar Kirane, Department of Mechanical Engineering, IV Ramakrishnan and Georgios Georgakis, Department of Surgery: Data-Enabled Manipulation Planning and Control for Autonomous Robotic Surgical Assistants
Christine DeLorenzo, Department of Psychiatry and Department of Biomedical Engineering: Development of a Blood Glucose Based Correction Factor for Brain Glutamate Estimates
Margaret Echelbarger, College of Business: Children’s Reasoning about Nonobvious Cues to Wealth and Power
Guanyu Huang, Program in Public Health,John Mak, School of Marine and Atmospheric Sciences: Acquisition of an HCHO Analyzer for Studies of Photochemical Smog and its Health Impact
Shubham Jain, Department of Computer Science, Craig Beale and Rachel Meaney, Department of Speech Language and Hearing: Assistive Wearable Technology to Improve Communication for Individuals with Speech Disorders
Hyungjin Kim and Gilbert Rahme, Department of Pharmacological Sciences, Luis Martinez, Department of Pathology: Key Determinants of DNA Replication Catastrophe Signaling in Anti-Cancer Therapy
Min-Jeong Kim, Department of Psychiatry and Behavioral Health: PET Imaging of Reactive Astrocytes and Microglia in Alzheimer's Disease
Haibin Ling, Department of Computer Science, Yingtian Pan, Department of Biomedical Engineering: AI-Empowered Optical Coherence Tomography
Zhenhua Liu, Department of Applied Math and Statistics, Anshul Gandhi, Department of Computer Science: Towards Efficient and Sustainable LLM Deployments
Lisa Muratori, Department of Physical Therapy, Petar Djuric, Department of Electrical Engineering, Shubham Jain, Department of Computer Science, Margaret Schedel, Department of Music and The Institute of Advanced Computational Science, Joshua Plotkin, Department of Neurobiology and Behavior:Engineering Gait Rehabilitation in Parkinson’s Disease through Music and AI
Neil Nadkarni, Department of Neurology,Stella Tsirka, Department of Pharmacology, Chao Chen and Prateek Prassana, Department of Biomedical Informatics: Multi-Scale Imaging Informatics to Define Inflammatory Dynamics in Stroke Throughout Aging
Jesus Perez Rios, Department of Physics and Astronomy: Decoherence in Quantum Gates Based on Ultracold Molecules
Hyowon Seo, Department of Materials Science and Chemical Engineering: Efficiency at Scale: High-Capacity High-Throughput Electrochemical Carbon Capture Using Sediment Flow and Pulsed Electrolysis
Qiaojie Xiong, Department of Neurobiology & Behavior, Song Wu, Department of Applied Mathematics and Statistics: The Role of Tail Striatal Astrocyte in Regulating Neuronal Plasticity during Associative Learning
Wei Yang, Department of Pathology: PHF8 Promotes Prostate Cancer Metastasis by Epigenetically Upregulating RIPK2
Donghui Zhuand Juncen Zhou, Department of Biomedical Engineering, Wayne Waltzer, Department of Urology: Biodegradable Metallic Stents for Ureteral Obstruction Treatment
Qingzhi Zhu, Christopher Gobler, and Yi Zhang, School of Marine and Atmospheric Sciences: Overcome the Challenge of Per- and Polyfluorinated Substances (PFAS) Removal in Aquatic Systems using Molecular Tailoring Technology
Michael Zingale, Department of Physics and Astronomy: Building a Community for Reactive Flow Software Infrastructure