31st ANNUAL SYMPOSIUM: Virtual
Nanotechnology in Electronics, Photonics, Biosensors, and Energy Systems
Email address : email@example.com
My name is Shunyao Fan and I’m a physics graduate student from University of Connecticut. Currently I’m working with Ashiq Rahman,and professor Niloy K. Dutta is our advisor.
Contact : firstname.lastname@example.org
Biography: Aalvee Asad Kausani received her B.Sc. degree in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET) in 2018. She is currently working towards the Ph.D. degree in Electrical Engineering with the University of Connecticut, Storrs, CT, USA.
Professor, Department of Electrical & Computer Engineering
University of Connecticut, Storrs, CT 06269, USA
Ph.D. candidate at the Electrical and Computer Engineering Department at UConn
Saturable absorption properties of multi-layered Graphene is used to generate ultrashort pulses. Rational harmonic mode-locking was first used to generate laser pulses of 20-GHz and 50-GHz repetition rates in the two experiments, which were then passed through graphene layers in the fiber ring laser cavity, yielding the pulse compression. Numerical simulations were carried out that solved the Generalized Nonlinear Schrodinger Equation to model the pulse propagation in the fiber optic setup. The computation involved varying the various saturable absorption parameters, such as linear and non-linear absorption coefficients. The simulations and experiments both demonstrate a reduction of pulse-width from 5.3-ps to 2.8-ps and 2.7-ps.
A 30-GHz pulse-train is generated using the rational harmonic mode-locking technique, experimentally, using a Mach-Zehnder Lithium Niobate modulator. The width of the pulses is then reduced from 5.8-ps to 1.9-ps by incorporating nonlinear polarization rotation. This phenomenon arises due to the very high nonlinear behavior of the photonic crystal fiber (PCF) added to the ring laser cavity. Numerically solving the Generalized Nonlinear Schrödinger Equation provided insights into the pulse evolution behavior. The relative polarization angle and length of the PCF were varied to study their effects on the pulse-width.
Ph.D Student under Dr.Jain
Ph.D Student under Dr.Jain
Raja Hari Gudlavalleti
Mechanical Engineer Undergrad going for Masters in Electrical Engineering focused on optoelectronics.
Electrical Engineering Department
University of Connecticut
Title: Classification of Human Glioma Tumors Using Visible Resonance Raman Spectroscopy and Deep Learning
Presenter: Nathaniel Llanos
Faculty advisor: Dr. Binlin Wu
Md Maruf Hossain Shuvo is a doctoral student in the department of Electrical Engineering and Computer Science at the University of Missouri. His research interests include machine learning (ML), ASIC design for biomedical applications, and efficient deep learning (DL) inference on edge devices. He is the recipient of the 2023 outstanding ECE doctoral student award from the College of Engineering, University of Missouri.
Reem Alshanbari is a Ph.D. Candidate in the Electrical Engineering department at Columbia University. Previously, she received her M.S. in Electrical & Computer Engineering from KAUST in 2021. Reem is mainly interested in device physics, fabrication, and CMOS design.
Department of Electrical Engineering
University of Connecticut
Dr. Rahul Singhal is working as Associate Professor at Central Connecticut State University (CCSU), New Britain, Connecticut (CT)-USA since 2015. He worked as Assistant Professor at Indian Institute of Technology Jodhpur, India. Dr. Singhal also taught at Quinnipiac University, Sacred Heart University, and Manchester community college.
Dr. Singhal worked as Post-Doctoral Fellow/Research Associate at University of Puerto Rico; Universidad Metropolitana, Puerto Rico; University of South Florida, Tampa, and National Physical Laboratory, New Delhi, India. Dr Singhal obtained his Ph.D degree from University of Delhi, India.
Dr. Singhal published more than 80 papers in the area of biosensors, energy storage, and nanomaterials. He may be contacted at email@example.com
Md Maruf Hossain received his bachelor’s degree in electrical and electronic engineering from Shahjalal University of Science and Technology in 2019. In the fall of 2022, he enrolled in the EECS Ph.D. program at the University of Missouri and currently working as a graduate research fellow. His research interests include micro/nano-electronic device simulation and fabrication, wide-bandgap materials, and optoelectronics. He is also interested in the design of mixed-signal circuits.
My name is Faouzi Nasri, I am an associate professor at the Center for Research in Microelectronics and Nanotechnology, Sousse (CRMN) Tunisia
My research is focused on the simulation of the electron and phonon transport in micro/nano devices. (Simulation of semi-conductor devices)
Dr. Milton Chang has many years of hands- on experience in leading development of complex
software-centric systems. He has in depth background in Hardware, Firmware, and Software
design including integration and testing. Recent accomplishments include the development of
‘Voice Activated Database Query System’ using Mobile Phone & Servers, a Patented ‘Pain
Management Systems’ for treating Chronic Neuropathic Pain, and AI/ML based ‘Revenue Cycle
Dr. Chang was one of industry invited speakers in 2018 IEEE UEMCON in Columbia University and his
speech was titled “The Art of Possible – IoT, AI & Blockchain”. He was also a keynote speaker in
2019 CMOC conference in Connecticut and his presentation was on Blockchain.
His prior successful start-up includes TranSwitch Corporation, Shelton, CT, which went public in
1995; Systems on Silicon, Inc. (SOSI) located in Princeton, NJ, which was acquired by TranSwitch
in 2002; and Opulan Technologies which was a Communication IC startup with R&D in Shanghai
that merged with Atheros/Qualcomm in 2009.
Dr. Chang received his BS in Electrical Engineering from National Cheng-Kong University in
Taiwan and Ph.D. from Michigan State University also in Electrical Engineering. Dr. Chang has
been granted 20+ US patents and has several additional patents pending. His current research
interests are in the areas of IoT/IoE, Blockchain and Machine Learning – especially the
convergence of these three technologies.
Shuai (Kevin) Chen is from Prof. Lei Wang’s group at UCONN, and his research focuses on hardware security.
Bio-inspired Smart Soft Materials with Multi-scale Architecture and Dynamic Surface Topographies
Kuangyu Shen, Songshan Zeng, Rui Li, Andrew Smith, Dianyun Zhang, Luyi Sun
Polymer Program, Institute of Materials Science and Department of Chemical & Biomolecular Engineering, University of Connecticut
Name: Marvin Joshi
Marvin is a first year Ph.D. student. He received his B.S (2020) and M.S. (2022) in Electrical Engineering at the University of Tennessee, Knoxville. During this time, he worked as a Teaching Assistant since 2019 and a Research Assistant working under Dr. Aly Fathy. He is currently pursuing his Ph.D. in Electrical Engineering at Georgia Tech, working under Dr. Manos Tentzeris. His interests include circuit design, RF/Microwave engineering and digital signal processing.
Name: Hani Al Jamal
Hani is a first-year Ph.D. student. He received his B.S. degree in Electrical and Computer Engineering with a minor in Applied Mathematics from the American University of Beirut (2022). His research interests include the use of additive manufacturing techniques in designing highly integrated and energy-efficient RF systems encompassing RF front-end circuits, antennas, and packaging
Name: Nathan Wille
Nathan is a first year Master’s student who received his B.S. in Electrical Engineering from the University of Wisconsin – Madison. His research interests include additive manufacturing, 3D printing, RF circuit design, and antenna design.
Name: Manos M. Tentzeris
Professor Emmanouil (Manos) M. Tentzeris was born and grew up in Piraeus, Greece. He graduated from Ionidios Model School of Piraeus in 1987 and received the Diploma (Suma Cum Laude) from the National Technical University in Athens, Greece in 1992 and the M.S. and Ph.D. degrees in Electrical Engineering andComputer Science from the University of Michigan, Ann Arbor in 1993 and1998, respectively.