BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260304T235220Z UID:D8D6DE54-29E6-4E09-9DA3-83BF4CE49BD6 DTSTART;TZID=America/Los_Angeles:20260310T180000 DTEND;TZID=America/Los_Angeles:20260310T203000 DESCRIPTION:Please join the IEEE Seattle EXCOM and seminar Tuesday March 10 th 6PM - 7pm Seminar and 7-8 pm EXCOM\n\nSpeach by Mr. Clint Solomon Mathi alagan \, Winner of the Speaker award at the IEEE New Era AI Wold leaders Summit .\n\nTitle: Reinventing Reverse Logistics\nSub-Title: How AI is Tur ning Niche Processes into Scalable Circular Systems\n\nAbstract\nAs intell igent commerce evolves\, reverse logistics is undergoing a fundamental tra nsformation driven by artificial intelligence. Once viewed as a specialize d\, low-ROI process\, it is now emerging as a data-rich domain where AI en ables predictive\, adaptive\, and scalable decision-making. Each return tr iggers a chain of interrelated decisions: identifying return intent\, effi ciently routing items\, detecting fraud\, ensuring safety\, and determinin g the optimal recovery path through resale\, refurbishment\, or recycling. Advances in multimodal perception\, forecasting\, and optimization are ma king what was once operationally niche\, economically scalable across indu stries.\n\nThis talk explores how AI transforms reverse logistics into a s elf-learning\, circular system that unites sustainability\, safety\, and p rofitability. By turning reactive operations into proactive intelligence n etworks\, organizations can unlock new forms of value and participation ac ross specialized industries\, general-purpose retail and e-commerce. We ex amine how recent advances in foundation models\, multimodal AI\, and state -of-the-art predictive systems enable new capabilities across the reverse logistics lifecycle. These include models for demand and return-inflow for ecasting\, intelligent routing and recovery optimization\, multimodal insp ection and defect detection\, and reasoning systems that interpret policie s and operational constraints across complex workflows.\n\nTogether\, thes e technologies enable hybrid\, agentic architectures that combine general- purpose reasoning with specialized predictive and optimization models. Att endees will learn how scalable AI systems can transform reverse logistics into an adaptive intelligence layer that improves operational efficiency w hile supporting trust\, transparency\, and measurable circular impact acro ss industries.\n\nBio\nClint Solomon Mathialagan is a Senior Principal App lied Scientist at Oracle\, where he leads applied research and development across large-scale AI systems in language\, vision\, and graph domains fo r Pharmacovigilance. His work focuses on building adaptive\, responsible\, and high-impact AI solutions that connect scientific rigor with operation al performance in real-world high-stakes environments. Over his career\, C lint has contributed to foundational advances in multimodal learning\, con versational AI\, and privacy-preserving machine learning. His patented inn ovations and published research span topics including transformer-based ar chitectures\, self-learning models\, and knowledge-graph reasoning\, with work featured in leading AI venues such as NAACL\, SIGIR\, and CVPR. Befor e joining Oracle\, he held research and engineering roles at Meta\, Protop ia AI\, and Amazon. At Amazon\, he led several large-scale machine learnin g initiatives\, including projects in ReCommerce and Reverse Logistics tha t improved automation\, safety\, and value recovery across global fulfillm ent operations. His earlier contributions to Alexa AI helped advance perso nalized and context-aware conversational systems at production scale. Clin t’s broader interests lie in bridging the gap between academic research and applied AI practice\, particularly in building systems that are interp retable\, secure\, and aligned with human and organizational goals.\n\nPar king Lin k To reserve parking\, click on the following link: https://www.o ffstreet.io/events/RKLSDC5K\nand enter your vehicle license plate.\n\nCo-s ponsored by: Priyank Desai \, Mike Stiber\, Neha Shetty\, Shiny Abraham \n\nAgenda: \nTuesday March 10th 2026 6pm- 8:30 pm\n\n6PM-6:50pmPM Speech\ , Reinventing Reverse Logistics\n\n7pm - 8:30pm EXCOM meeting\n\n1) Approv e of Feb 10th 2026 meeting minutes\n\n2) Treasure report\,\n\n3) election\ n\n4) Session Business.\n\nConcur reimbursemnet\n\n5) Chapter\, affinity G roup\, and Student Branch report.\n\n6) Other Business.\n\nPaeking Link To reserve parking\, click on the following link: https://www.offstreet.io/e vents/RKLSDC5K\nand enter your vehicle license plate.\n\nRoom: 143\, Bldg: Harding Building\, 1215 E Columbia St (Central District) Seattle\, WA 98 122Read more\, Seattle \, Washington\, United States\, 98122\, Virtual: ht tps://events.vtools.ieee.org/m/543912 LOCATION:Room: 143\, Bldg: Harding Building\, 1215 E Columbia St (Central District) Seattle\, WA 98122Read more\, Seattle \, Washington\, United Sta tes\, 98122\, Virtual: https://events.vtools.ieee.org/m/543912 ORGANIZER:swen@ieee.org SEQUENCE:104 SUMMARY:IEEE seattle EXCOM and Speech Tues March 10th 6pm Reinventing Rever se Logistics URL;VALUE=URI:https://events.vtools.ieee.org/m/543912 X-ALT-DESC:Description: <br /><p>Please join the IEEE Seattle EXCOM and sem inar&nbsp\; Tuesday March 10th&nbsp\; 6PM - 7pm&nbsp\; Seminar&nbsp\; and 7-8 pm&nbsp\; EXCOM&nbsp\;</p>\n<p>&nbsp\;Speach by&nbsp\; Mr. &nbsp\;Clin t Solomon Mathialagan \, Winner of the Speaker award&nbsp\; at the IEEE Ne w Era AI&nbsp\; Wold leaders Summit .&nbsp\;</p>\n<p>&nbsp\;<strong>Title: Reinventing Reverse Logistics</strong></p>\n<div>Sub-Title: <strong>How A I is Turning Niche Processes into Scalable Circular Systems</strong></div> \n<div>&nbsp\;</div>\n<div>\n<div><em>Abstract</em></div>\n<div><em>As int elligent commerce evolves\, reverse logistics is undergoing a fundamental transformation driven by artificial intelligence. Once viewed as a special ized\, low-ROI process\, it is now emerging as a data-rich domain where AI enables predictive\, adaptive\, and scalable decision-making. Each return triggers a chain of interrelated decisions: identifying return intent\, e fficiently routing items\, detecting fraud\, ensuring safety\, and determi ning the optimal recovery path through resale\, refurbishment\, or recycli ng. Advances in multimodal perception\, forecasting\, and optimization are making what was once operationally niche\, economically scalable across i ndustries.<br><br>This talk explores how AI transforms reverse logistics i nto a self-learning\, circular system that unites sustainability\, safety\ , and profitability. By turning reactive operations into proactive intelli gence networks\, organizations can unlock new forms of value and participa tion across specialized industries\, general-purpose retail and e-commerce . We examine how recent advances in foundation models\, multimodal AI\, an d state-of-the-art predictive systems enable new capabilities across the r everse logistics lifecycle. These include models for demand and return-inf low forecasting\, intelligent routing and recovery optimization\, multimod al inspection and defect detection\, and reasoning systems that interpret policies and operational constraints across complex workflows.<br><br>Toge ther\, these technologies enable hybrid\, agentic architectures that combi ne general-purpose reasoning with specialized predictive and optimization models. Attendees will learn how scalable AI systems can transform reverse logistics into an adaptive intelligence layer that improves operational e fficiency while supporting trust\, transparency\, and measurable circular impact across industries.</em></div>\n<div>&nbsp\;</div>\n<div><em>Bio&nbs p\;</em></div>\n<div><em>Clint Solomon Mathialagan is a Senior Principal A pplied Scientist at Oracle\, where he leads applied research and developme nt across large-scale AI systems in language\, vision\, and graph domains for Pharmacovigilance. His work focuses on building adaptive\, responsible \, and high-impact AI solutions that connect scientific rigor with operati onal performance in real-world high-stakes environments. Over his career\, Clint has contributed to foundational advances in multimodal learning\, c onversational AI\, and privacy-preserving machine learning. His patented i nnovations and published research span topics including transformer-based architectures\, self-learning models\, and knowledge-graph reasoning\, wit h work featured in leading AI venues such as NAACL\, SIGIR\, and CVPR. Bef ore joining Oracle\, he held research and engineering roles at Meta\, Prot opia AI\, and Amazon. At Amazon\, he led several large-scale machine learn ing initiatives\, including projects in ReCommerce and Reverse Logistics t hat improved automation\, safety\, and value recovery across global fulfil lment operations. His earlier contributions to Alexa AI helped advance per sonalized and context-aware conversational systems at production scale. Cl int&rsquo\;s broader interests lie in bridging the gap between academic re search and applied AI practice\, particularly in building systems that are interpretable\, secure\, and aligned with human and organizational goals. </em></div>\n<div>&nbsp\;</div>\n<div><em>Parking Lin k To reserve parking \, click on the following link:&nbsp\;<u><a id="m_5698079867437031536OWA59 b64e98-7947-6339-67b6-d1908174bcce" title="Original URL: https://www.offst reet.io/events/RKLSDC5K. Click or tap if you trust this link." href="https ://www.offstreet.io/events/RKLSDC5K" target="_blank" rel="noopener" data-s aferedirecturl="https://www.google.com/url?q=https://www.offstreet.io/even ts/RKLSDC5K&amp\;source=gmail&amp\;ust=1772752667823000&amp\;usg=AOvVaw3Sf 0H3dagCx5ECb2qTr7nK">https://www.offstreet.io/<wbr>events/RKLSDC5K</a></u> <br>and enter your vehicle license plate.&nbsp\;</em></div>\n</div><br />< br />Agenda: <br /><p>Tuesday March 10th&nbsp\; 2026&nbsp\; &nbsp\;6pm- 8: 30 pm</p>\n<p>6PM-6:50pmPM&nbsp\; &nbsp\;Speech\, &nbsp\;<strong>Reinventi ng Reverse Logistics</strong></p>\n<p><strong>7pm - 8:30pm&nbsp\; EXCOM me eting </strong></p>\n<p><strong>1) Approve of Feb 10th 2026 meeting minute s</strong></p>\n<p><strong>2) Treasure report\,&nbsp\;</strong></p>\n<p><s trong>3) election&nbsp\;</strong></p>\n<p><strong>4) Session Business.</st rong></p>\n<p><strong>&nbsp\; &nbsp\; &nbsp\;Concur reimbursemnet&nbsp\;&n bsp\;</strong></p>\n<p><strong>5) Chapter\, affinity Group\, and Student B ranch report.&nbsp\;</strong></p>\n<p><strong>6) Other Business.&nbsp\;&nb sp\;</strong></p>\n<p><strong>&nbsp\;Paeking Link &nbsp\;To reserve parkin g\, click on the following link:&nbsp\;<u><a id="m_5698079867437031536OWA5 9b64e98-7947-6339-67b6-d1908174bcce" title="Original URL: https://www.offs treet.io/events/RKLSDC5K. Click or tap if you trust this link." href="http s://www.offstreet.io/events/RKLSDC5K" target="_blank" rel="noopener" data- saferedirecturl="https://www.google.com/url?q=https://www.offstreet.io/eve nts/RKLSDC5K&amp\;source=gmail&amp\;ust=1772752667823000&amp\;usg=AOvVaw3S f0H3dagCx5ECb2qTr7nK">https://www.offstreet.io/<wbr>events/RKLSDC5K</a></u ><br>and enter your vehicle license plate.&nbsp\;</strong></p>\n<p>&nbsp\; </p> END:VEVENT END:VCALENDAR