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:Thesis Advisor: Dr. Gokhan Kul, Computer and Information Scienc e Committee Members: Dr. Debarun Das, Computer and Information Science Prof. Clinton Rogers, Computer and Information Science Abstract: Side cha nnel attacks are an increasingly relevant hardware security threat to mode rn computing systems and embedded systems. While gamification has proven e ffective for cybersecurity education, existing tools for side-channel anal ysis are either inaccessible to undergraduate students, limited to non-int eractive formats such as board games and questionnaires or designed for co mpetitive play like CTF games rather than structured learning. The goal of this thesis is to design, develop a gamified interactive education tool, and evaluate whether this project can improve student understanding of the rmal side-channel attack concepts by making them more accessible and under standable. Toward this end, we created a Unity-based educational game desi gned to teach thermal side-channel attack concepts through interactive vis ualization. The project comprises two game modes: one that teaches passive side channel analysis on a simplified CPU pipeline by visualizing heat pa tterns across instruction execution phases, and another that introduces th ermal analysis of memory access patterns through a heatmap-guided search f or a hidden cryptographic key. Both game modes feature progressive difficu lty supporting incremental learning. The game is deployed as a WebGL appli cation for browser-based access and was evaluated through a classroom surv ey consisting of Computer Science students. Preliminary design feedback an d evaluated survey outcomes suggest that the game can make side-channel co ncepts more accessible to students across various technical backgrounds. For further information please contact Dr. Gokhan Kul at gkul@umassd.edu. \nEvent page: https://www.umassd.edu/events/cms/6-9-26-learning-thermal-si de-channel-attacks-through-gamification.php\nEvent link: https://teams.mic rosoft.com/meet/215023432773961?p=dcEIALLC4lAHKne7WD X-ALT-DESC;FMTTYPE=text/html:

Thesis Advisor:

Dr. Gok han Kul\, Computer and Information Science

Committee Members:

Dr. Debarun Das\, Computer and Information Science
Prof. Clinton Rogers\, Computer and Information Science

Ab stract:

Side channel attacks are an increasingly relevant hardware security threat to modern computing systems and embedded systems. While g amification has proven effective for cybersecurity education\, existing to ols for side-channel analysis are either inaccessible to undergraduate stu dents\, limited to non-interactive formats such as board games and questio nnaires or designed for competitive play like CTF games rather than struct ured learning. The goal of this thesis is to design\, develop a gamified i nteractive education tool\, and evaluate whether this project can improve student understanding of thermal side-channel attack concepts by making th em more accessible and understandable. Toward this end\, we created a Unit y-based educational game designed to teach thermal side-channel attack con cepts through interactive visualization. The project comprises two game mo des: one that teaches passive side channel analysis on a simplified CPU pi peline by visualizing heat patterns across instruction execution phases\, and another that introduces thermal analysis of memory access patterns thr ough a heatmap-guided search for a hidden cryptographic key. Both game mod es feature progressive difficulty supporting incremental learning. The gam e is deployed as a WebGL application for browser-based access and was eval uated through a classroom survey consisting of Computer Science students. Preliminary design feedback and evaluated survey outcomes suggest that the game can make side-channel concepts more accessible to students across va rious technical backgrounds.

For further information please cont act Dr. Gokhan Kul at gkul@umassd.edu.

Event page: https://www.umassd.edu/events/cms/6-9-26-learning-t hermal-side-channel-attacks-through-gamification.php
Event link: https://teams.microsoft.com/meet/215023432773961?p=dcEIALLC4lAHKne7W D \;

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260609T130000 DTEND;TZID=America/New_York:20260609T140000 LOCATION:Online - https://teams.microsoft.com/meet/215023432773961?p=dcEIAL LC4lAHKne7WD SUMMARY;LANGUAGE=en-us:Learning Thermal Side Channel Attacks Through Gamifi cation UID:17eb612714953290f0a4971d999327ae@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Arts and Sciences,Thesis/Dissertations DESCRIPTION:Advisor: Dr. Mark Silby mark.silby@umassd.edu Committee: Dr. Ch ristopher Brigham, Dr. Robert Drew Abstract: Rhizobacteria such as Pseudom onas fluorescens Pf0-1 are important contributors to plant health due to t heir involvement in nutrient uptake, regulation of plant immunity, and inh ibition of pathogens. P. fluorescens Pf0-1 mediates movement by using micr oscopic hair-like structures called flagella. Flagella synthesis is contro lled by the bacterial enhancer binding protein (bEBP) FleQ; fleQ mutants a re unable to swim. Taylor et al., (2015) showed that fleQ mutants eventual ly regain motility due to new mutations in ntrB and ntrC which result in e levated activation of NtrC and off-target binding of the bEBP NtrC to FleQ -controlled promoters. We hypothesized that if mutations that activate bEB Ps can lead to crosstalk between regulatory networks, environmental signal s that activate bEBPs may also influence crosstalk in a post-translational manner. We tested whether glutamate or alpha ketoglutarate which are pred icted to activate AauR and MifR respectively could restore motility in the Pf0-1 fleQ mutant and found that the addition of glutamate restored motil ity. However, deletion of aauR did not abolish motility restoration, indic ating that a different bEBP was important. Surprisingly, deletion of ntrC rendered glutamate unable to promote motility restoration, demonstrating t hat in the presence of glutamate wildtype NtrC can functionally replace Fl eQ in P. fluorescens. Measurement of transcription of the gene flhA which is normally FleQ-controlled confirmed that in the presence of glutamate, N trC is capable of regulating expression of flagella genes. This research l ooks to provide an insight on how crosstalk between different regulatory p athways can increase the adaptability of bacteria in complex natural envir onments.\nEvent page: https://www.umassd.edu/events/cms/6-10-26-biology-ma ster-thesis-defense-by-sharon-jacob.php X-ALT-DESC;FMTTYPE=text/html:

Advisor: Dr. Mark Silby mark.si lby@umassd.edu

Committee: Dr. Christopher Brigham\, Dr. Robert Dre w

Abstract: Rhizobacteria such as Pseudomonas fluorescens Pf0-1 ar e important contributors to plant health due to their involvement in nutri ent uptake\, regulation of plant immunity\, and inhibition of pathogens. P . fluorescens Pf0-1 mediates movement by using microscopic hair-like struc tures called flagella. Flagella synthesis is controlled by the bacterial e nhancer binding protein (bEBP) FleQ\; fleQ mutants are unable to swim. Tay lor et al.\, (2015) showed that fleQ mutants eventually regain motility du e to new mutations in ntrB and ntrC which result in elevated activation of NtrC and off-target binding of the bEBP NtrC to FleQ-controlled promoters . We hypothesized that if mutations that activate bEBPs can lead to crosst alk between regulatory networks\, environmental signals that activate bEBP s may also influence crosstalk in a post-translational manner. We tested w hether glutamate or alpha ketoglutarate which are predicted to activate Aa uR and MifR respectively could restore motility in the Pf0-1 fleQ mutant a nd found that the addition of glutamate restored motility. However\, delet ion of aauR did not abolish motility restoration\, indicating that a diffe rent bEBP was important. Surprisingly\, deletion of ntrC rendered glutamat e unable to promote motility restoration\, demonstrating that in the prese nce of glutamate wildtype NtrC can functionally replace FleQ in P. fluores cens. Measurement of transcription of the gene flhA which is normally FleQ -controlled confirmed that in the presence of glutamate\, NtrC is capable of regulating expression of flagella genes. This research looks to provide an insight on how crosstalk between different regulatory pathways can inc rease the adaptability of bacteria in complex natural environments.

Event page: https://www.umassd.edu/events/cms/ 6-10-26-biology-master-thesis-defense-by-sharon-jacob.php

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260610T100000 DTEND;TZID=America/New_York:20260610T110000 LOCATION:LIB-314 SUMMARY;LANGUAGE=en-us:Biology Master Thesis Defense by Sharon Jacob UID:3ebfb5348032c0f6a655327e8d8cc825@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Career Center,Student Affairs DESCRIPTION:Learn strategies that will help your job/internship search prod uce results. Develop a smart and organized approach to finding internships and employment opportunities. You'll learn how to use job boards, company websites, LinkedIn, and networking to maximize their search. The workshop also covers application strategies and how to stay competitive in today ’s job market.\nEvent page: https://www.umassd.edu/events/cms/6-11-26-su mmer-career-bootcamp-job-search-strategies.php\nEvent link: https://app.jo inhandshake.com/events/1956260/share_preview X-ALT-DESC;FMTTYPE=text/html:

Learn strategies that will help your job/internship search produce results.

Develop a smart and o rganized approach to finding internships and employment opportunities. You 'll learn how to use job boards\, company websites\, LinkedIn\, and networ king to maximize their search. The workshop also covers application strate gies and how to stay competitive in today’s job market.

Event page : https://www.umassd.edu/events/cms/6-11-26-sum mer-career-bootcamp-job-search-strategies.php
Event link: https://app.jo inhandshake.com/events/1956260/share_preview

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260611T100000 DTEND;TZID=America/New_York:20260611T110000 LOCATION:https://umassd.zoom.us/j/98529922654?pwd=uOSPnONt14oP8hYWo0gmTH4ct Rb7Ou.1 SUMMARY;LANGUAGE=en-us:Summer Career Bootcamp: Job Search Strategies UID:617076dd340210020ae08528a3f7a9ff@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Biomedical Engineering & Biotechnology BMEBT MS Thesis Defense by Sean Crowley Date: June 11, 2026 Time: 12:30 PM Location: TEX 219 Title : Comparison of Ribose and Glucose for In Vitro Glycation of Human Cortica l Bone Abstract: Patients with diabetes are at a much higher risk of exper iencing bone fractures compared to non-diabetic populations. This happens despite diabetics having relatively normal or high bone mineral density, c ausing questions as to why this occurs. Past research has shown that diabe tic bone tissue has a higher prevalence of non-enzymatic glycation, a spon taneous process where the aldehydes of sugars react with ε-amino groups o n proteins in the bone matrix to eventually form advanced glycation end-pr oducts (AGEs). AGEs alter cross-links within the matrix, which can lead to stiffer tissue and deteriorated mechanical properties. High AGE accumulat ion can occur over decades, which makes it a challenge to obtain represent ative data from diabetic patients or cadaveric bone tissue in order to stu dy these mechanisms. In vitro incubation simulations have been successfull y used to reflect the process of non-enzymatic glycation in bone tissue, w ith AGE accumulating in a matter of days/weeks. These simulations normally use ribose as the extracellular sugar source. Even though glucose is more physiologically relevant, it has little documentation in its usage in the se simulations. This project investigates the effectiveness and difference s in reactions of both ribose and glucose with human cortical bone. Bone s amples were incubated with control, ribose, and glucose solutions, and wer e then tested to measure key mechanical properties as well as AGE accumula tion. Differences in results are reported, analyzed, and discussed within this thesis, providing more insight into the mechanisms of non-enzymatic g lycation’s effect on bone properties. Advisor: Dr. Lamya Karim, Dept. of Bioengineering (lkarim@umassd.edu) Committee Members: Dr. Tracie Ferreira , Dept. of Bioengineering Dr. Qinguo Fan, Dept. of Bioengineering All BMEB T graduate students are encouraged to attend, and all interested parties a re invited.\nEvent page: https://www.umassd.edu/events/cms/6-11-26-bmebt-m s-thesis-defense-by-sean-crowley.php X-ALT-DESC;FMTTYPE=text/html:

Biomedical Engineering & Biotec hnology

BMEBT MS Thesis Defense by Sean Crowley

Date: June 11\, 2026

Time: 12:30 PM

Location: TEX 219

Title: Comparison of Ribose and Glucose for In Vitro Glycation of Human Cortical Bone

Abstract: Patients with diabetes are at a much higher risk o f experiencing bone fractures compared to non-diabetic populations. This h appens despite diabetics having relatively normal or high bone mineral den sity\, causing questions as to why this occurs. Past research has shown th at diabetic bone tissue has a higher prevalence of non-enzymatic glycation \, a spontaneous process where the aldehydes of sugars react with ε-amino groups on proteins in the bone matrix to eventually form advanced glycati on end-products (AGEs). AGEs alter cross-links within the matrix\, which c an lead to stiffer tissue and deteriorated mechanical properties. High AGE accumulation can occur over decades\, which makes it a challenge to obtai n representative data from diabetic patients or cadaveric bone tissue in o rder to study these mechanisms. In vitro incubation simulations have been successfully used to reflect the process of non-enzymatic glycation in bon e tissue\, with AGE accumulating in a matter of days/weeks. These simulati ons normally use ribose as the extracellular sugar source. Even though glu cose is more physiologically relevant\, it has little documentation in its usage in these simulations. This project investigates the effectiveness a nd differences in reactions of both ribose and glucose with human cortical bone. Bone samples were incubated with control\, ribose\, and glucose sol utions\, and were then tested to measure key mechanical properties as well as AGE accumulation. Differences in results are reported\, analyzed\, and discussed within this thesis\, providing more insight into the mechanisms of non-enzymatic glycation’s effect on bone properties.

Advisor : Dr. Lamya Karim\, Dept. of Bioengineering (lkarim@umassd.edu)

Co mmittee Members:

Dr. Tracie Ferreira\, Dept. of Bioengineering

Dr. Qinguo Fan\, Dept. of Bioengineering

All BMEBT graduate s tudents are encouraged to attend\, and all interested parties are invited.

Event page: https://www.umassd.edu/events/cms /6-11-26-bmebt-ms-thesis-defense-by-sean-crowley.php

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260611T123000 DTEND;TZID=America/New_York:20260611T133000 LOCATION:TEX 219 SUMMARY;LANGUAGE=en-us:BMEBT MS Thesis Defense by Sean Crowley UID:0a7fc2c35cc0da29c6ac243bbea36851@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Topic: Evaluating Zero-Shot AI Agents for Autonomous Cross-Prot ocol Waveform Selection in Dynamic RF Environments Abstract: This thesi s builds upon the current principles of cognitive radio, utilizing its cor e principles of being able to adapt autonomously to the given radio freque ncy (RF) channel environment. The approach utilized the advancements in Ar tificial Intelligence (AI) specifically AI agents which consists of tools, memory, and complex reasoning, which embodies the core principles of cogn itive radio. The methodology implemented through an AI agent framework, en abled a completely autonomous and intelligent radio agent with waveform ge neration capabilities. The results show that the agent is able to reason t hrough typical RF engineering decision principles based on given channel c onditions and successfully decipher the task that the user has given it in order to achieve the user's outcome. Overall, this research demonstrates the potential of zero-shot AI agents to serve as the reasoning engine, or ``brain'' of future intelligent radio systems. By moving beyond rigid rule -based adaptation, the proposed framework advances cognitive radio toward more autonomous, flexible, and goal-directed operation across heterogeneou s wireless protocols. Advisor(s): Dr. Ruolin Zhou, Associate Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth Committee Me mbers: Dr. Hong Liu, Commonwealth Professor, Dept. of Electrical & Compute r Engineering, UMASS Dartmouth; Dr. Liudong Xing, Commonwealth Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth NOTE: All EC E Graduate Students are ENCOURAGED to attend. All interested parties are i nvited to attend. Open to the public. *For further information, please c ontact Dr. Ruolin Zhou email at rzhou1@umassd.edu\nEvent page: https://www .umassd.edu/events/cms/6-12-26-cpe-master-of-science-thesis-defense-by-cam eron-popillo.php\nEvent link: https://umassd.zoom.us/j/93281343753?pwd=UWd 5TGsweFpyMC9ydWhzaWErZnlndz09 X-ALT-DESC;FMTTYPE=text/html:

Topic: Evaluating Zero-Shot AI Agents for Autonomous Cross-Protocol Waveform Selection in Dynamic RF Envi ronments

Abstract: This thesis builds upon the current principl es of cognitive radio\, utilizing its core principles of being able to ada pt autonomously to the given radio frequency (RF) channel environment. The approach utilized the advancements in Artificial Intelligence (AI) specif ically AI agents which consists of tools\, memory\, and complex reasoning\ , which embodies the core principles of cognitive radio. The methodology i mplemented through an AI agent framework\, enabled a completely autonomous and intelligent radio agent with waveform generation capabilities. The re sults show that the agent is able to reason through typical RF engineering decision principles based on given channel conditions and successfully de cipher the task that the user has given it in order to achieve the user's outcome. Overall\, this research demonstrates the potential of zero-shot A I agents to serve as the reasoning engine\, or ``brain'' of future intelli gent radio systems. By moving beyond rigid rule-based adaptation\, the pro posed framework advances cognitive radio toward more autonomous\, flexible \, and goal-directed operation across heterogeneous wireless protocols. \n

Advisor(s): Dr. Ruolin Zhou\, Associate Professor\, Dept. of Elect rical & Computer Engineering\, UMASS Dartmouth

Committee Members : Dr. Hong Liu\, Commonwealth Professor\, Dept. of Electrical & Computer E ngineering\, UMASS Dartmouth\; Dr. Liudong Xing\, Commonwealth Professor\, Dept. of Electrical & Computer Engineering\, UMASS Dartmouth

NO TE: All ECE Graduate Students are ENCOURAGED to attend. All interested par ties are invited to attend. Open to the public.

*For further inf ormation\, please contact Dr. Ruolin Zhou email at rzhou1@umassd.edu

Event page: https://www.umassd.edu/ events/cms/6-12-26-cpe-master-of-science-thesis-defense-by-cameron-popillo .php
Event link: https://umassd.zoom.us/j/93281343753?pwd =UWd5TGsweFpyMC9ydWhzaWErZnlndz09

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260612T130000 DTEND;TZID=America/New_York:20260612T150000 LOCATION:Charlton College of Business, Room 115 (CCB-115) SUMMARY;LANGUAGE=en-us:Thesis Defense by Cameron Popillo UID:4fd293725d5d8503330d04cafbf2a4ea@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Financial Aid DESCRIPTION:Financial Aid Services wants to remind all students to file the ir FAFSA! Join Financial Aid Services for Zoom FAFSA Help Labs on Fridays from 2-3pm for help filing your FAFSA and learning more about financial ai d.\nEvent page: https://www.umassd.edu/events/cms/5-15-26-thru-6-12-26-sum mer-financial-aid-zoom-fafsa-help-labs-.php\nEvent link: https://umassd.zo om.us/j/93075462260?pwd=JhUkTxOEnyX3q6xrQZN5LPHDFjqHOD.1 X-ALT-DESC;FMTTYPE=text/html:

Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for Zoom FAFSA Help Labs on Fridays from 2-3pm for help filing your FAFSA and learning more about financial aid.

Event page: https://www.umassd.edu/events/cms/5-15-26-thru-6-12-26-su mmer-financial-aid-zoom-fafsa-help-labs-.php
Event link: https://umassd.zoom.us/j/93075462260?pwd=JhUkTxOEnyX3q6xrQZN5LPHDFjqHOD.1< /a>

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260515T140000 DTEND;TZID=America/New_York:20260515T150000 LOCATION:Zoom SUMMARY;LANGUAGE=en-us:Summer Financial Aid Zoom FAFSA Help Labs UID:6e2b56b54b119022990caecc98347735@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Arts and Sciences,Thesis/Dissertations DESCRIPTION:Title: Single-Particle Chiral Spectromicroscopy:Artifact Correc tion and Characterization of Plasmonic Nanostructures by Vidhi Singla Advi sor: Dr. Wei-Shun Chang, Chemistry & Biochemistry Dept. Committee Member s: Dr. Catherine Neto, Chemistry & Biochemistry Dept. & Dr. Milana Vasudev , Bioengineering Dept. Abstract: Chirality plays a critical role in biolog y and medicine, yet conventional techniques such as optical rotatory dispe rsion and circular dichroism suffer from low detection sensitivity. Plasmo nic nanostructures enhance chirality detection through localized surface p lasmon resonance, but their inherent size and shape heterogeneity makes si ngle-particle measurements essential. Existing single-particle dark-field scattering methods, however, suffer from linear dichroism artifacts caused by imperfect waveplate retardance, resulting in ±10% measurement uncerta inty. This thesis develops an artifact-free single-particle chiral dark-fi eld scattering spectromicroscopy. Using unpolarized excitation and a quart er-wave plate/Wollaston prism detection assembly, left- and right-handed c ircularly polarized scattering are simultaneously decoded. Dual measuremen ts at ±45° waveplate orientations eliminate linear dichroism artifacts w hile preserving true chiral signals, verified by Stokes–Mueller calculus . The method enables accurate, high-throughput chirality characterization without modifying existing instrumentation.\nEvent page: https://www.umass d.edu/events/cms/6-15-26-ms-thesis-defense-by-vidhi-singla.php\nEvent link : https://umassd.zoom.us/j/91017390345?pwd=gAgrVmNcwf0aeGTwbjVTtTskMjJVlP. 1 X-ALT-DESC;FMTTYPE=text/html:

Title: Single-Particle Chiral S pectromicroscopy:Artifact Correction and Characterization of Plasmonic Nan ostructures by Vidhi Singla

Advisor: Dr. Wei-Shun Chang\, Chemis try & Biochemistry Dept.

Committee Members: Dr. Catherine Neto\, C hemistry & Biochemistry Dept. & Dr. Milana Vasudev\, Bioengineering Dept.\n

Abstract:

Chirality plays a critical role in biology and m edicine\, yet conventional techniques such as optical rotatory dispersion and circular dichroism suffer from low detection sensitivity. Plasmonic na nostructures enhance chirality detection through localized surface plasmon resonance\, but their inherent size and shape heterogeneity makes single- particle measurements essential. Existing single-particle dark-field scatt ering methods\, however\, suffer from linear dichroism artifacts caused by imperfect waveplate retardance\, resulting in ±10% measurement uncertain ty.

This thesis develops an artifact-free single-particle chiral d ark-field scattering spectromicroscopy. Using unpolarized excitation and a quarter-wave plate/Wollaston prism detection assembly\, left- and right-h anded circularly polarized scattering are simultaneously decoded. Dual mea surements at ±45° waveplate orientations eliminate linear dichroism arti facts while preserving true chiral signals\, verified by Stokes–Mueller calculus. The method enables accurate\, high-throughput chirality characte rization without modifying existing instrumentation.

Event page: https://www.umassd.edu/events/cms/6-15-26-ms-thesis-defense-b y-vidhi-singla.php
Event link: https://umassd.zoom.us/j/9 1017390345?pwd=gAgrVmNcwf0aeGTwbjVTtTskMjJVlP.1

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260615T130000 DTEND;TZID=America/New_York:20260615T150000 LOCATION:Virtual SUMMARY;LANGUAGE=en-us:MS Thesis Defense by Vidhi Singla UID:4a386becdf22a3f2b4226f636eeb682e@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Career Center,Student Affairs DESCRIPTION:Ready for your interview? Learn how to tell your story confiden tly while making a strong impression. Prepare to confidently succeed in jo b and internship interviews. We'll focus on common interview questions, be havioral interview techniques, professional communication, and interview e tiquette.\nEvent page: https://www.umassd.edu/events/cms/6-18-26-summer-ca reer-bootcamp.php\nEvent link: https://app.joinhandshake.com/events/195626 2/share_preview X-ALT-DESC;FMTTYPE=text/html:

Ready for your interview? Learn how to tell your story confidently while making a strong impression.

\ n

Prepare to confidently succeed in job and internship interviews. We'll focus on common interview questions\, behavioral interview techniques\, p rofessional communication\, and interview etiquette.

Event page: https://www.umassd.edu/events/cms/6-18-26-summer-career-bootcamp.php
Event link: https://app.joinhandshake.com/events/1956262/share_preview DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260618T100000 DTEND;TZID=America/New_York:20260618T110000 LOCATION:https://umassd.zoom.us/j/98529922654?pwd=uOSPnONt14oP8hYWo0gmTH4ct Rb7Ou.1 SUMMARY;LANGUAGE=en-us:Summer Career Bootcamp UID:9b3bf412b2d72c39659badd6f7b15b9e@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Partial abstract: When a micro/nano-textured superhydrophobic s urface is submerged underwater, a thin layer of gas, known as a plastron, can be trapped between the solid surface and the liquid. This trapped ga s layer enables a wide range of applications, including drag reduction, an ti-biofouling, anti-icing, and enhanced boiling heat transfer. However, the plastron can gradually dissolve into the surrounding liquid due to... For the complete abstract, please contact: hling1@umassd.edu -or- scunha @umassd.edu. Thank you!\nEvent page: https://www.umassd.edu/events/cms/6 -18-26-ms-thesis-defense-by-mr-umang-panchal.php X-ALT-DESC;FMTTYPE=text/html:

Partial abstract:

When a micro/nano-textured superhydrophobic surface is submerged underwater\, a thin layer of gas\, known as a plastron\, can be trapped between the soli d surface and the liquid. This trapped gas layer enables a wide range of applications\, including drag reduction\, anti-biofouling\, anti-icing\, and enhanced boiling heat transfer. However\, the plastron can gradually dissolve into the surrounding liquid due to...

For the complete a bstract\, please contact: hling1@umassd.edu -or- scunha@umassd.edu. Th ank you!

Event page: https://www.umassd.edu/even ts/cms/6-18-26-ms-thesis-defense-by-mr-umang-panchal.php

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260618T100000 DTEND;TZID=America/New_York:20260618T120000 LOCATION:Library, Room 426 (LIB-426) SUMMARY;LANGUAGE=en-us:Mechanical Engineering (MNE) MS Thesis Defense by Mr . Umang Panchal UID:18f057b754df6f317c3a0c3419cb4198@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Partial ABSTRACT: Recently, micro/nano-textured superhydrophobi c surfaces (SHSs), which trap a layer of gas bubbles, or plastons, within their microcavities, have provided exciting opportunities for reducing fri ction drag in turbulent flows. This gas layer forms a nearly shear-free gas-liquid interface, allowing the liquid to effectively slip along the wa ll. However, under turbulent flow conditions... (for the full ABSTRACT, please contact: hling1@umassd.edu). ADVISOR: Dr. Hangjian Ling/UMD COM MITTEE: Dr. Caiwei Shen/UMD, Dr. Jinde Zhang/UML\nEvent page: https://www. umassd.edu/events/cms/6-26-26-ms-thesis-defense-by-ms-foram-fanasia.php X-ALT-DESC;FMTTYPE=text/html:

Partial ABSTRACT:

Recen tly\, micro/nano-textured superhydrophobic surfaces (SHSs)\, which trap a layer of gas bubbles\, or plastons\, within their microcavities\, have pro vided exciting opportunities for reducing friction drag in turbulent flows . This gas layer forms a nearly shear-free gas-liquid interface\, allowi ng the liquid to effectively slip along the wall. However\, under turbul ent flow conditions... (for the full ABSTRACT\, please contact: hling1@uma ssd.edu).

ADVISOR:

Dr. Hangjian Ling/UMD

COMMI TTEE:

Dr. Caiwei Shen/UMD\, Dr. Jinde Zhang/UML

Event page: https://www.umassd.edu/events/cms/6-26-26-ms-thesis-de fense-by-ms-foram-fanasia.php

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260626T100000 DTEND;TZID=America/New_York:20260626T120000 LOCATION:Library, Room 426 (LIB-426) SUMMARY;LANGUAGE=en-us:Mechanical Engineering (MNE) MS Thesis Defense by Ms . Foram Fanasia UID:ef49455bfe6e6e0cab72aec5751c313c@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Partial abstract: Accurate and drift-free velocity estimation r emains a critical challenge in underwater navigation, particularly for com pact and low-cost Unmanned Underwater Vehicles (UUVs) operating in GPS-den ied environments. Conventional approaches, such as Inertial Measurement Units (IMUs) and Doppler Velocity Logs (DVLs), suffer from fundamental lim itations, including cumulative integration drift, high cost, bulkiness, an d sensitivity to environmental conditions. For the full abstract, plea se contact: kihan.park@umassd.edu. Thank you.\nEvent page: https://www.u massd.edu/events/cms/6-29-26-ms-thesis-defense-by-md-mainuddin-sagar.php X-ALT-DESC;FMTTYPE=text/html:

Partial abstract:

Accur ate and drift-free velocity estimation remains a critical challenge in und erwater navigation\, particularly for compact and low-cost Unmanned Underw ater Vehicles (UUVs) operating in GPS-denied environments. Conventional approaches\, such as Inertial Measurement Units (IMUs) and Doppler Velocit y Logs (DVLs)\, suffer from fundamental limitations\, including cumulative integration drift\, high cost\, bulkiness\, and sensitivity to environmen tal conditions. For the full abstract\, please contact: kihan.park@uma ssd.edu. Thank you.

Event page: https://www. umassd.edu/events/cms/6-29-26-ms-thesis-defense-by-md-mainuddin-sagar.php< /a>

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260629T100000 DTEND;TZID=America/New_York:20260629T120000 LOCATION:Library, Room 426 (LIB-426) SUMMARY;LANGUAGE=en-us:Mechanical Engineering (MNE) MS Thesis Defense by Md Mainuddin Sagar UID:db7c4c1265f67ba62ff71095a693de79@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Thesis Advisor: Gokhan Kul, Department of Computer and Informat ion Science Committee Members: Ashokkumar Patel, Department of Computer a nd Information Science Adnan El-Nasan, Department of Computer and Informat ion Science Abstract: Zero-day cyberattacks pose a major challenge to tra ditional Intrusion Detection Systems (IDS) because previously unseen attac ks are not represented in training data and are often misclassified. While recent open-set recognition methods can identify unknown traffic, they ty pically provide limited insight into the nature of detected anomalies. Thi s thesis presents a unified framework for open-set intrusion detection and semantic analysis of unknown network traffic by integrating deep learning , reinforcement learning, and large language models (LLMs). The proposed a pproach uses a Convolutional Neural Network (CNN) to learn traffic represe ntations and a Deep Q-Network (DQN) to distinguish known from unknown traf fic using uncertainty-based metrics without manually defined thresholds. A n LLM reasoning module is selectively applied to traffic identified as unk nown to generate interpretable behavioral explanations. Experiments on the CICIDS-2017 and UNSW-NB15 datasets demonstrate that the CNN-DQN framework achieves a binary F1-score of 97.83% for known-versus-unknown traffic cla ssification while effectively identifying previously unseen attacks. The L LM-assisted analysis further provides meaningful behavioral interpretation s of suspicious network activity, improving the explainability of intrusio n detection outcomes. The proposed framework contributes to the developmen t of adaptive and explainable intrusion detection systems capable of ident ifying and interpreting emerging cyber threats, supporting faster incident response and enhanced cybersecurity decision-making. For further informat ion please contact Dr. Gokhan Kul at gkul@umassd.edu\nEvent page: https:// www.umassd.edu/events/cms/7-2-26-open-set-intrusion-detectionsemantic-anal ysis-of-0-day-network-attacks.php\nEvent link: https://teams.microsoft.com /meet/258262216614270?p=5gSDREaPiTObpT1eqG X-ALT-DESC;FMTTYPE=text/html:

Thesis Advisor: Gokhan Kul\, De partment of Computer and Information Science

Committee Members:

Ashokkumar Patel\, Department of Computer and Information Sci ence
Adnan El-Nasan\, Department of Computer and Information Sci ence

Abstract:

Zero-day cyberattacks pose a major challenge to traditional Intrusion Detection Systems (IDS) because previou sly unseen attacks are not represented in training data and are often misc lassified. While recent open-set recognition methods can identify unknown traffic\, they typically provide limited insight into the nature of detect ed anomalies. This thesis presents a unified framework for open-set intrus ion detection and semantic analysis of unknown network traffic by integrat ing deep learning\, reinforcement learning\, and large language models (LL Ms). The proposed approach uses a Convolutional Neural Network (CNN) to le arn traffic representations and a Deep Q-Network (DQN) to distinguish know n from unknown traffic using uncertainty-based metrics without manually de fined thresholds. An LLM reasoning module is selectively applied to traffi c identified as unknown to generate interpretable behavioral explanations. Experiments on the CICIDS-2017 and UNSW-NB15 datasets demonstrate that th e CNN-DQN framework achieves a binary F1-score of 97.83% for known-versus- unknown traffic classification while effectively identifying previously un seen attacks. The LLM-assisted analysis further provides meaningful behavi oral interpretations of suspicious network activity\, improving the explai nability of intrusion detection outcomes. The proposed framework contribut es to the development of adaptive and explainable intrusion detection syst ems capable of identifying and interpreting emerging cyber threats\, suppo rting faster incident response and enhanced cybersecurity decision-making.

For further information please contact Dr. Gokhan Kul at gkul@uma ssd.edu

Event page: https://www.umassd.edu/events/cms/7-2-26-open-set-intrusion-detections emantic-analysis-of-0-day-network-attacks.php
Event link: htt ps://teams.microsoft.com/meet/258262216614270?p=5gSDREaPiTObpT1eqG

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260702T123000 DTEND;TZID=America/New_York:20260702T133000 LOCATION:Zoom - Online SUMMARY;LANGUAGE=en-us:Open-Set Intrusion Detection and Semantic Analysis o f Zero-Day Network Attacks Using Deep Reinforcement Learning and Large Lan guage Models UID:a21d56ae6cc907e1a1ec8039323ce800@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Financial Aid DESCRIPTION:Financial Aid Services wants to remind all students to file the ir FAFSA! Join Financial Aid Services for Zoom FAFSA Help Labs on Fridays from 2-3pm for help filing your FAFSA and learning more about financial ai d.\nEvent page: https://www.umassd.edu/events/cms/7-10-26-thru-8-28-26-sum mer-financial-aid-zoom-fafsa-help-labs-.php\nEvent link: https://umassd.zo om.us/j/93075462260?pwd=JhUkTxOEnyX3q6xrQZN5LPHDFjqHOD.1 X-ALT-DESC;FMTTYPE=text/html:

Event page: https://www.umassd.edu/events/cms/7-10-26-thru-8-28-26-su mmer-financial-aid-zoom-fafsa-help-labs-.php
Event link: https://umassd.zoom.us/j/93075462260?pwd=JhUkTxOEnyX3q6xrQZN5LPHDFjqHOD.1< /a>

Learn how to look up budget balances and run monthly Revenue and Expe nse\, Open Encumbrance and Transaction Detail reports in PeopleSoft Financ e.

Open to Faculty and Staff. Please register via email to receive zoom link and room details. email: jschlesinger@umassd.edu

Event page: https://www.umassd.edu/events/cms/20260715- peoplesoft-financial-reporting-and-budget-inquiry-training--.php
Ev ent link: htt ps://www.umassd.edu/peoplesoftfinance/training/

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260402T144500 DTEND;TZID=America/New_York:20260402T160000 LOCATION:Zoom SUMMARY;LANGUAGE=en-us:PeopleSoft Financial Reporting and Budget Inquiry Tr aining UID:cadf4648bcd049be7b9f4fe98da11b54@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Training DESCRIPTION:Open to Faculty and Staff.Learn how to look up Budget Balances, Revenue and Expense Details, Open Encumbrances and Transaction Detail usi ng the Department Management dashboard for financials. Please registe r. Email jschlesinger@umassd.edu to sign up and receive location/zoom details. \nEvent page: https://www.umassd.edu/events/cms/20260716-su mmit-financial-reporting-101.php X-ALT-DESC;FMTTYPE=text/html:

Open to Faculty and Staff.

Learn how to look up Budget Balances\, Revenue and Expense Det ails\, Open Encumbrances and Transaction Detail using the Department Manag ement dashboard for financials.

Please register. Email jschlesinger@umassd.edu to sign u p and receive location/zoom details.

Event page: https://www.umassd.edu/events/cms/20260716-summit-financial-repor ting-101.php

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260403T100000 DTEND;TZID=America/New_York:20260403T111500 LOCATION:Zoom SUMMARY;LANGUAGE=en-us:Summit Financial Reporting 101 UID:5ea2dcb0764ff350152cd2d16f4c5edc@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Financial Aid DESCRIPTION:Financial Aid Services wants to remind all students to file the ir FAFSA! Join Financial Aid Services for Zoom FAFSA Help Labs on Fridays from 2-3pm for help filing your FAFSA and learning more about financial ai d.\nEvent page: https://www.umassd.edu/events/cms/7-10-26-thru-8-28-26-sum mer-financial-aid-zoom-fafsa-help-labs-.php\nEvent link: https://umassd.zo om.us/j/93075462260?pwd=JhUkTxOEnyX3q6xrQZN5LPHDFjqHOD.1 X-ALT-DESC;FMTTYPE=text/html:

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260710T140000 DTEND;TZID=America/New_York:20260710T150000 LOCATION:Zoom SUMMARY;LANGUAGE=en-us:Summer Financial Aid Zoom FAFSA Help Labs UID:ffe259ebf57dcfa2eba12ff6282edbbf@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Marine & UnderSea Technology Research (MUST),Research DESCRIPTION:Please join us for the upcoming Marine UnderSea Technology Rese arch Program (MUST) technical review to be held on July 21 and 22, 2026 fr om 8:30 am to 4:00 pm. The event will be hosted in the UMass Dartmouth Lib rary Grand Reading Room. Please RSVP by July 10, 2026. The MUST research p rogram is a series of collaborative research projects focused on developin g solutions and technologies of naval relevance. Working closely with the Naval Undersea Warfare Center Division Newport, MUST is funded by the Offi ce of Naval Research. To date, MUST has funded 59 research projects, bring ing together regional and national collaborators to strengthen the Navy's access to cutting-edge research and build a pipeline for a highly trained workforce. These research areas include autonomous underwater vehicles, ba ttery systems, biofouling, composite materials, modeling ocean dynamics, u ndersea acoustics for communications and sensing technologies, AI/Machine Learning, and cybersecurity. Learn more about the MUST program on our webs ite. During the technical reviews, you will have the opportunity to gain i nsights into the research projects, explore potential collaborations with researchers and industry experts, and engage in discussions on future MUST program initiatives and partnerships. MUST focuses on strong industry and higher education partnerships to advance innovation, and your participati on will greatly enrich the dialogue and contribute to our shared goal of a dvancing undersea technology solutions. We look forward to your presence.\ nEvent page: https://www.umassd.edu/events/cms/62126-thru-62226-must-resea rch-program-review.php\nEvent link: https://umassdartmouth.co1.qualtrics.c om/jfe/form/SV_bxrsdGHCTP4N9Pg X-ALT-DESC;FMTTYPE=text/html:

Please join us for the upcoming Marine UnderSea Technology Research Program (MUST) technical review to be held on July 21 and 22\, 2026 from 8:30 am to 4:00 pm. The event will be hosted in the UMass Dartmouth Library Grand Reading Room. Please RSVP by July 10\, 2026.

The MUST res earch program is a series of collaborative research projects focused on de veloping solutions and technologies of naval relevance. Working closely wi th the Naval Undersea Warfare Center Division Newport\, MUST is funded by the Office of Naval Research.

To date\, MUST has funded 59 researc h projects\, bringing together regional and national collaborators to stre ngthen the Navy's access to cutting-edge research and build a pipeline for a highly trained workforce. These research areas include autonomous under water vehicles\, battery systems\, biofouling\, composite materials\, mode ling ocean dynamics\, undersea acoustics for communications and sensing te chnologies\, AI/Machine Learning\, and cybersecurity. Learn more about the MUST program on our website.

During the technical reviews\, you will have the opportunity to gain in sights into the research projects\, explore potential collaborations with researchers and industry experts\, and engage in discussions on future MUS T program initiatives and partnerships.

MUST focuses on strong ind ustry and higher education partnerships to advance innovation\, and your p articipation will greatly enrich the dialogue and contribute to our shared goal of advancing undersea technology solutions.

We look forward to your presence.

Event page: https://www.umassd .edu/events/cms/62126-thru-62226-must-research-program-review.php
E vent link: https://umassdartmouth.co1.qualtrics.com/jfe/form/SV_bxrsd GHCTP4N9Pg

DTSTAMP:20260609T222746 DTSTART;TZID=America/New_York:20260721T083000 DTEND;TZID=America/New_York:20260721T160000 LOCATION:Library Grand Reading Room SUMMARY;LANGUAGE=en-us:Marine UnderSea Technology Research Program UID:aa299f2537a7e66167d167d7c3bb01f4@www.umassd.edu END:VEVENT BEGIN:VEVENT CATEGORIES:Marine & UnderSea Technology Research (MUST),Research DESCRIPTION:Please join us for the upcoming Marine UnderSea Technology Rese arch Program (MUST) technical review to be held on July 21 and 22, 2026 fr om 8:30 am to 4:00 pm. The event will be hosted in the UMass Dartmouth Lib rary Grand Reading Room. Please RSVP by July 10, 2026. The MUST research p rogram is a series of collaborative research projects focused on developin g solutions and technologies of naval relevance. Working closely with the Naval Undersea Warfare Center Division Newport, MUST is funded by the Offi ce of Naval Research. To date, MUST has funded 59 research projects, bring ing together regional and national collaborators to strengthen the Navy's access to cutting-edge research and build a pipeline for a highly trained workforce. These research areas include autonomous underwater vehicles, ba ttery systems, biofouling, composite materials, modeling ocean dynamics, u ndersea acoustics for communications and sensing technologies, AI/Machine Learning, and cybersecurity. Learn more about the MUST program on our webs ite. During the technical reviews, you will have the opportunity to gain i nsights into the research projects, explore potential collaborations with researchers and industry experts, and engage in discussions on future MUST program initiatives and partnerships. MUST focuses on strong industry and higher education partnerships to advance innovation, and your participati on will greatly enrich the dialogue and contribute to our shared goal of a dvancing undersea technology solutions. We look forward to your presence.\ nEvent page: https://www.umassd.edu/events/cms/62126-thru-62226-must-resea rch-program-review.php\nEvent link: https://umassdartmouth.co1.qualtrics.c om/jfe/form/SV_bxrsdGHCTP4N9Pg X-ALT-DESC;FMTTYPE=text/html:

We look forward to your presence.

Event page: https://www.umassd .edu/events/cms/62126-thru-62226-must-research-program-review.php
E vent link: https://umassdartmouth.co1.qualtrics.com/jfe/form/SV_bxrsd GHCTP4N9Pg