Congratulations to Meisam and Adam (Moghaddam Group) on New Publication!

Submitted by Minh-Chau Le on Mon, 12/05/2022 - 3:24pm

Congratulations to IMG Members Meisam Habibi Matin and Adam Kriz, and Dr. Saeed Moghaddam on their recent journal publication in Applied Thermal Engineering! Titled “Annular liquid film thermohydraulic and intermittent dryout in microchannel flow boiling,” this work fully resolves the intermittent dryout process in annular liquid film flow and uses interfacial shear stress to predict flow regime transition. Read more about their pioneering work here:  https://doi.org/10.1016/j.applthermaleng.2022.119589

Ph.D. Defense: Next-Generation High-Channel-Density Implant-Connector Technology

Submitted by Paritosh Rustogi on Wed, 11/09/2022 - 3:01pm
Event date: 
Thu, 11/10/2022 - 10:00am

For several decades implantable bioelectronic neural interfaces have provided significant health benefits for patients suffering from various neurological diseases, deficits, or injuries. As the channel counts have increased, often so to do the therapeutic benefits of neuromodulation-based therapy. However, the lack of development of implantable connector technology for high-channel-count implants is limiting their successful development and translation to clinical trials. Existing commercial implant connector technology is limited to low channel counts (8 ch/lead).

Dr. Fan's Group at the 2022 ASME IMECE Conference

Submitted by Minh-Chau Le on Mon, 11/07/2022 - 2:38pm

Congratulations to Morteza Alipanahrostami and Minh-Chau Le for representing Dr. Hugh Fan’s Lab at the 2022 ASME IMECE conference in Columbus, Ohio (Oct. 30-Nov. 3)! Morteza presented his paper titled: “Integration of Minivalves with RNA Amplification Device for Simultaneous Detection of SARS-CoV-2 and Influenza Viruses”. Minh-Chau presented her paper on “Microfluidic Devices for Isolating and Releasing Disseminated Tumor Cells in Bone Marrow.” Go Gators!

IMG Seminar

Submitted by Ladan Jiracek on Wed, 10/19/2022 - 12:45pm
Event date: 
Fri, 10/21/2022 - 11:45am to 12:45pm
11:45am - 12:00pm LAR 234 Sidharth Sanadhya (IMG Student Series- Moghaddam Group) Topic TBA
12:10pm - 12:15pm Adam Kriz (IMG Student Series- Moghaddam Group) Microchannel Flow Boiling Characterization for Compact Energy Systems
12:15pm - 12:30pm Sai Amirrisetti (IMG Student Series- Arnold Group) Fabrication of thick, laminated, electro-infiltrated magnetic nanocomposites to reduce dimensional resonance effects
12:30pm - 12:45pm

Dissertation Defense - Carlos Manzanas

Submitted by Minh-Chau Le on Mon, 10/17/2022 - 11:07am
Event date: 
Tue, 10/18/2022 - 1:00pm to 2:00pm

Carlos will defend his Ph.D. dissertation titled "Miniaturized Platforms for on-site Pathogen Detection using Paper-Based Nucleic Acid Extraction and Isothermal Amplification" this Tuesday (10/18/2022) at 1 PM.

Please join us on zoom to support Carlos at his dissertation defense.

Date: Tuesday, October 18, 2022

Time: 1:00 PM

Dr. Evelyn L Hu (Harvard University) Visits UF as Inaugural Distinguished Seminar Series Speaker

Submitted by Minh-Chau Le on Mon, 09/26/2022 - 2:09pm

We were so honored to have Dr. Evelyn L. Hu from Harvard University as the inaugural speaker for our Distinguished Seminar Series! Dr. Hu presented two talks: “Composing a Life”, a career retrospective, and “Rediscovering Semiconductor Materials: A Focus on Imperfections”, a technical talk. Our IMG faculty and students were so thrilled to meet Dr. Hu, hear her life stories, and learn about her research. Thank you for a wonderful two days, Dr. Hu!

IMG Seminar with Dr Mansy and Dr Khalifa

Submitted by Ladan Jiracek on Mon, 09/12/2022 - 4:55pm
Event date: 
Fri, 09/16/2022 - 11:45am to 12:30pm

This semester’s inaugural IMG seminar will be this Friday (9/16)  at 11:45 AM. The agenda for this week's seminar is the following:​​ 

 

  • 11:55 am: Dr.  May Mansy, UF BME on the Learning Assistant Program for better teaching outcomes at UF Biomedical Engineering
  • 12:20 pm: Dr Adam Khalifa, UF ECE on Low-power analog/RF/Mixed-mode ASIC design, miniaturization, wireless powering, etc for Neural Engineering