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 DESCRIPTION:Topic: “Edge Intelligence: Roadmap to Energy-Efficiency and S ecurity” Abstract: Edge computing has the potential to bring artificial intelligence (AI) closer to the masses by taking care of the heavy comput ing load with low latency. However, we still need to ensure less resource and energy consumption, and security and privacy of the edge-AI applicatio ns. These research issues need to be addressed to ensure that edge intelli gence reaches and impacts society on a larger scale. In this talk, researc h efforts towards energy-efficiency and security of edge-AI will be presen ted, along with the associated research challenges, along with strategies to enhance overall Quality-of-Service (QoS) of AI applications while promo ting mass use and less resource consumption, thus advancing AI mobility us ing edge intelligence. This research contributes to numerous cyber-physica l systems, as well as to the national economy and security. Biography: Ani k Mallik is an assistant professor in the Department of Computer and Infor mation Sciences at Towson University. He received his PhD in Electrical En gineering from the University of North Carolina at Charlotte, where he res earched augmented reality and AI applications in mobile devices using edge computing. He is a computing systems researcher and specializes in experi mental testbed development. His current work involves developing energy-ef ficient algorithms for resilient edge intelligence with abundant applicati ons in numerous cyber-physical and quantum computing systems. With these r esearch thrusts, he has been actively contributing to collaborative resear ch works with George Mason University, Georgia State University, InfoTech Labs Toyota Motor North America, and DEVCOM Army Research Laboratory (ARL) . The Research Presentation is open to the public free of charge. *For fur ther information, \nEvent page: https://www.umassd.edu/events/cms/speaker- dr-anik-mallik-assistant-professor-department-of-computer-and-information- sciences-towson-university.php X-ALT-DESC;FMTTYPE=text/html:

Topic: “Edge Intelligence: Roadmap to Energy-Efficiency and Security”

Abstract: Edge computing has the potential to bring artificial intelligence (AI) closer to the masses by taking care of the heavy comput ing load with low latency. However\, we still need to ensure less resource and energy consumption\, and security and privacy of the edge-AI applicat ions. These research issues need to be addressed to ensure that edge intel ligence reaches and impacts society on a larger scale.

In this tal k\, research efforts towards energy-efficiency and security of edge-AI wil l be presented\, along with the associated research challenges\, along wit h strategies to enhance overall Quality-of-Service (QoS) of AI application s while promoting mass use and less resource consumption\, thus advancing AI mobility using edge intelligence. This research contributes to numerous cyber-physical systems\, as well as to the national economy and security.

Biography: Anik Mallik is an assistant professor in the Department of Computer and Information Sciences at Towson Universi ty. He received his PhD in Electrical Engineering from the University of N orth Carolina at Charlotte\, where he researched augmented reality and AI applications in mobile devices using edge computing. He is a computing sys tems researcher and specializes in experimental testbed development. His c urrent work involves developing energy-efficient algorithms for resilient edge intelligence with abundant applications in numerous cyber-physical an d quantum computing systems. With these research thrusts\, he has been act ively contributing to collaborative research works with George Mason Unive rsity\, Georgia State University\, InfoTech Labs Toyota Motor North Americ a\, and DEVCOM Army Research Laboratory (ARL).

The Research Presen tation is open to the public free of charge.

*For further informat ion\,

Event page: https://www.umassd.edu/events/cms/speake r-dr-anik-mallik-assistant-professor-department-of-computer-and-informatio n-sciences-towson-university.php

DTSTAMP:20260501T205308 DTSTART;TZID=America/New_York:20260324T113000 DTEND;TZID=America/New_York:20260324T123000 LOCATION:Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A SUMMARY;LANGUAGE=en-us:Speaker: Dr. Anik Mallik, Assistant Professor, Depar tment of Computer and Information Sciences, Towson University UID:bba95e71decf7db6d2f6ce5564414e06@www.umassd.edu END:VEVENT END:VCALENDAR