BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME:EventsCalendar PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20240422T053451Z TZURL:https://www.tzurl.org/zoneinfo-outlook/America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Topic: Nanoscale MIM Plasmonic Sensors for Real-Time Marine Env ironmental Monitoring  Abstract: Plasmonic sensing has emerged as a promi sing approach for high sensitivity, label free detection in environmental and marine monitoring applications. However, existing plasmonic sensor des igns are often limited by single parameter operation, insufficient spectra l selectivity, channel interference, and lack of robustness in saline envi ronments. These limitations restrict their ability to perform simultaneous ly, accurately, and real time detection of multiple seawater parameters an d emerging contaminants. As a result, current sensing platforms are not we ll suited for integrated, in situ monitoring systems that require compactn ess, high resolution, and multi analyte capability.  To address these lim itations, this thesis develops advanced metal insulator metal waveguide ba sed plasmonic sensors that enable simultaneous multi parameter and multi a nalyte detection. The proposed designs leverage tailored resonator geometr ies, optimized material compositions, and enhanced light matter interactio n to improve sensing performance while maintaining compact device footprin ts. A multi-channel sensing configuration is established to allow independ ent and simultaneous sample analysis without cross contamination. The inco rporation of corrosion resistant materials enhances the operational stabil ity of the sensors in saline environments, enabling reliable long-term use . In addition, nanostructure assisted resonant configurations are introduc ed to amplify localized surface plasmon effects, significantly improving t he detection of subtle refractive index variations associated with salinit y, temperature, nanoplastic concentration, microplastics, and aquatic micr oorganisms. These structures exhibit high sensitivity, figure of merit, an d low detection limits, enabling precise identification of low concentrati on analytes. The proposed models are validated through comprehensive numer ical simulations, and key performance metrics are evaluated to assess thei r effectiveness. The results demonstrate that the developed sensor archite ctures achieve significant improvements over conventional plasmonic design s in terms of sensitivity, multi parameter capability, and robustness unde r realistic environmental conditions. Overall, this thesis establishes a u nified and scalable framework for next generation plasmonic sensing platfo rms, providing a pathway toward compact, high performance, and real time m arine monitoring systems.  Advisor(s): Dr. Mohammad Karim, Professor, Dep t. of Electrical & Computer Engineering, UMASS Dartmouth  Committee Membe rs: Dr. Yifei Li, Professor, Dept. of Electrical & Computer Engineering, U MASS Dartmouth; Dr. Md Habibor Rahman, Assistant Professor, Mechanical Eng ineering; Dr. Tariq Manzur, Adjunct Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth and Scientist & Engineer, Naval Unde rsea Warfare Center (NUWC) NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the publi c. *For further information, please contact Dr. Mohammad Karim email at mk arim@umassd.edu\nEvent page: https://www.umassd.edu/events/cms/ele-master- of-science-thesis-defense-by-tahmina-tabassum-treena---ece-department.php\ nEvent link: https://umassd.zoom.us/j/93281343753?pwd=UWd5TGsweFpyMC9ydWhz aWErZnlndz09 X-ALT-DESC;FMTTYPE=text/html:

Topic: Nanoscale MIM Plasmonic Sensors for Real-Time Marine Environmental Monitoring 

\n

Abstract: Plasmonic sensing has emerged as a promising approach for high sensitivity \, label free detection in environmental and marine monitoring application s. However\, existing plasmonic sensor designs are often limited by single parameter operation\, insufficient spectral selectivity\, channel interfe rence\, and lack of robustness in saline environments. These limitations r estrict their ability to perform simultaneously\, accurately\, and real ti me detection of multiple seawater parameters and emerging contaminants. As a result\, current sensing platforms are not well suited for integrated\, in situ monitoring systems that require compactness\, high resolution\, a nd multi analyte capability. 

\n

To address these limitations\, this thesis develops advanced metal insulator metal waveguide based plasmonic sensors that enable simultaneous multi parameter and multi analyte detecti on. The proposed designs leverage tailored resonator geometries\, optimize d material compositions\, and enhanced light matter interaction to improve sensing performance while maintaining compact device footprints. A multi- channel sensing configuration is established to allow independent and simu ltaneous sample analysis without cross contamination. The incorporation of corrosion resistant materials enhances the operational stability of the s ensors in saline environments\, enabling reliable long-term use. In additi on\, nanostructure assisted resonant configurations are introduced to ampl ify localized surface plasmon effects\, significantly improving the detect ion of subtle refractive index variations associated with salinity\, tempe rature\, nanoplastic concentration\, microplastics\, and aquatic microorga nisms. These structures exhibit high sensitivity\, figure of merit\, and l ow detection limits\, enabling precise identification of low concentration analytes. The proposed models are validated through comprehensive numeric al simulations\, and key performance metrics are evaluated to assess their effectiveness. The results demonstrate that the developed sensor architec tures achieve significant improvements over conventional plasmonic designs in terms of sensitivity\, multi parameter capability\, and robustness und er realistic environmental conditions. Overall\, this thesis establishes a unified and scalable framework for next generation plasmonic sensing plat forms\, providing a pathway toward compact\, high performance\, and real t ime marine monitoring systems. 

\n

Advisor(s): Dr. Mohammad Karim\, Professor\, Dept. of Electrical & Computer Engineering\, UMASS Dartmouth 

\n

Committee Members: Dr. Yifei Li\, Professor\, Dept. of Electrical & Computer Engineering\, UMASS Dartmouth\; Dr. Md Habibor Rahman\, Assist ant Professor\, Mechanical Engineering\; Dr. Tariq Manzur\, Adjunct Profes sor\, Department of Electrical & Computer Engineering\, UMASS Dartmouth an d Scientist & Engineer\, Naval Undersea Warfare Center (NUWC)

\n

NOTE : All ECE Graduate Students are ENCOURAGED to attend. All interested parti es are invited to attend. Open to the public.

\n

*For further informa tion\, please contact Dr. Mohammad Karim email at mkarim@umassd.edu

Event page: https:/ /www.umassd.edu/events/cms/ele-master-of-science-thesis-defense-by-tahmina -tabassum-treena---ece-department.php
Event link: https:/ /umassd.zoom.us/j/93281343753?pwd=UWd5TGsweFpyMC9ydWhzaWErZnlndz09

DTSTAMP:20260508T145618 DTSTART;TZID=America/New_York:20260526T100000 DTEND;TZID=America/New_York:20260526T120000 LOCATION:Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A SUMMARY;LANGUAGE=en-us:ELE Master of Science Thesis Defense by Tahmina Taba ssum Treena - ECE Department UID:a373dfa8be868b8579df2e32c367e3e0@www.umassd.edu END:VEVENT END:VCALENDAR