News
May 6, 2024
Our paper "Long-Term Predictive Analytics of Continuous Glucose Sensing for Enhanced Glycemic Control" is accepted for publication and presentation at ISVLSI 2024. Congratulations Shuvo!
Our paper "Enhancing Personalization and Mitigating Inter-Patient Variability in Continuous Blood Glucose Prediction Using Multi-Task Deep LSTMs" is accepted for publication and presentation at MeMeA 2024. Congratulations Shuvo!
March 21, 2024
Congratulations to Maruf for winning the Best Poster Award at the 32nd Annual CMOC Symposium 2024, for presenting his research on "Optimizing TCAD Model for Aluminum Nitride (AlN) Schottky Diode: Exploring Forward Diode Characteristics with Different Schottky Metals"!
February 2, 2024
Our paper "Optimizing TCAD Model for Aluminum Nitride (AlN) Schottky Diode: Exploring Forward Diode Characteristics with Different Schottky Metals " is accepted for poster presentation at 32nd Annual CMOC Symposium 2024 . Congratulations Md Maruf Hossain !
Our paper "Unraveling the Potential of Heart Rate Variability for Type 1 Diabetes Prediction" accepted for publication and presentation at the 2023 IEEE International Workshop on “Biomedical Applications, Technologies and Sensors” - BATS 2023. Congratulations Shuvo !
August 9, 2023
Shuvo presented our research on 'Enhancing Single Photon Detection: An Optimized Electronic Interface for Single-Photon Detection' at The 2023 Lester Eastman Conference on High Performance Devices, held in Chicago from August 7th to 9th.
May 14, 2023
Dr. Syed Kamrul Islam Receives Certificate of Appreciation from Graduating Seniors for Outstanding Professorship
Dr. Syed Kamrul Islam, Principal Investigator at AVDL, was recently honored with a prestigious "Certificate of Appreciation" from the graduating seniors of the College of Engineering. The certificate recognizes Dr. Islam as an outstanding professor, handpicked by students for his unwavering support, unparalleled dedication, and extensive experience.
The graduating seniors at the College of Engineering, acknowledging the profound impact Dr. Islam has had on their academic journey, selected him unanimously for this prestigious recognition. Dr. Islam's commitment to excellence and his unwavering support for his students have been instrumental in shaping their educational experiences and preparing them for successful careers in engineering.
Our paper "Modeling of Enhancement Mode HEMT with π-Gate Optimization for High Power Applications" is accepted for publication in the International Journal of High-Speed Electronics and Systems. Congratulations Maruf!
Our paper "An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection" is accepted for publication in the IEEE Transactions on Instrumentation and Measurement (Impact Factor: 5.332). Congratulations Omiya!
May 02, 2023
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Omiya Hassan successfully defended her Ph.D. dissertation titled "POWER-EFFICIENT MACHINE LEARNING-BASED HARDWARE ARCHITECTURES FOR BIOMEDICAL APPLICATIONS" on April 27, 2023. She will join Boise State University as an Assistant Professor starting Fall 2023. Congratulations Omiya!
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Supported by National Science Foundation (NSF), Ms. Hassan had the opportunity to attend the two-day iREDEFINE workshop as an iREDEFINE Fellow organized by the Electrical and Computer Engineering Department Heads Association (ECEDHA) at Santa Ana Pueblo, New Mexico, in Hyatt Resort and Spa. The two-day workshop included poster sessions, faculty mock interviews, and meeting with department heads while learning about faculty life and types of institutions. Ms. Hassan is preparing herself to join academia through these resourceful and insightful workshops.
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The AVDL team will present two papers (one oral, one poster) at the 31st Connecticut Symposium on Microelectronics & Optoelectronics (CMOC) on March 1, 2023.
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Congratulations Shuvo for winning the 2023 ECE Outstanding Doctoral Student Award from the College of Engineering!
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Our paper "Deep Multitask Learning by Stacked Long Short-Term Memory for Predicting Personalized Blood Glucose Concentration" is accepted for publication in the IEEE Journal of Biomedical and Health Informatics (Impact Factor: 7.7). Congratulations Shuvo!
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Our paper "Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review" is published in the Proceedings of the IEEE (Impact Factor: 20.6). Congratulations Shuvo!
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Omiya Hassan participated in the Rising Stars in EECS 2022 Workshop held at the University of Texas at Austin from Oct 26-28, 2022.
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Dr. Islam presented a invited talk on "Data Driven Machine Learning Based Approach for Point-of-Care Health Monitoring Systems" at the 2022 Southeast Symposium on Contemporary Engineering Topics (SSCET) in Arkansas on September 16, 2022.
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Nazmul Amin presented a invited talk on "Threshold Switching Insulator-Metal Transition Materials-Promises and Challenges" at the 2022 Southeast Symposium on Contemporary Engineering Topics (SSCET) in Arkansas on September 16, 2022.
September 14, 2022
Dilruba Parvin successfully defended her Ph.D. dissertation titled "DESIGN OF LOW-POWER RF ENERGY HARVESTER FOR IOT SENSORS" on September 14, 2022. She joined Texas Instruments as an Analog Design Engineer. Congratulations, Dilruba!
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Dr. Islam presented a plenary talk work entitled "Biomedical Sensor Systems for Point-of-Care Health Monitoring Systems" at the fifth annual Quantum and Biomedical Applications Technologies and Sensors (qBATS) workshop in Lugano, Switzerland on June 20, 2022.
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Tanmoy Paul presented a paper titled "ECG and SpO2 Signal-Based Real-Time Sleep Apnea Detection Using Feed-Forward Artificial Neural Network" at the AMIA 2022 Annual Symposium in Washington, DC on May 23, 2022.
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Dr. Islam presented the following papers at 2022 IEEE Medical Measurements and Applications (MeMeA) conference in Giardini Naxos, Sicily, Italy, on June 23 and 24, 2022.
Omiya Hassan, Tanmoy Paul, Rushil Thakker, Dilruba Parvin, Md. Maruf Hossain Shuvo, Abu Saleh Mohammad Mosa, Syed Kamrul Islam, : A Multi-Sensor Based Automatic Sleep Apnea Detection System for Adults Using Neural Network Inference on FPGA”. June 23, 2022.
Md Maruf Hossain Shuvo, Nafis Ahmed, Humayera Islam, Khuder Alaboud, Jianlin Cheng, Abu Saleh Mohammad Mosa, and Syed Kamrul Islam, “ Machine Learning Embedded Smartphone Application for Early- Stage Diabetes Risk Assessment”, June 24, 2022.
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Omiya Received the Excellence in Research Award 2022 from the Graduate and Professionals Council (GPC) at the University of Missouri for strong commitment to research. Congratulations Omiya!
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Dilruba's co-authored paper titled "Implantable Aptamer-Graphene Microtransistors for Real-Time Monitoring of Neurochemical Release in Vivo" published at Nano Letters (IF: 11.2). Congratulations Dilruba!
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Two paper accepted at the 2022 IEEE Medical Measurements and Applications (MeMeA) conference. Congratulations Team!
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Dr. Islam and Dilruba attended the 2022 ECEDHA Annual conference and ECExpo.