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DTSTART;TZID=America/New_York:20240206T143000
DTEND;TZID=America/New_York:20240206T153000
DTSTAMP:20260420T020022
CREATED:20240202T165810Z
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SUMMARY:NJIT Data Science Seminar Series
DESCRIPTION:Data Science Seminar Series in collaboration with the Department of Data Science \n\n\n\n“Structure-Enhanced Text Mining for Understanding and Augmenting Scientific Discovery” \n\n\n\nYu Zhang University of Illinois Urbana-Champaign \n\n\n\nLocation: Guttenberg Information Technologies Center (GITC) Building\, Room 4402 (4th floor lecture hall) (Coffee served at 2:15 PM)  \n\n\n\nZoom Meeting Link \n\n\n\nHosted by Shuai Zhang  \n\n\n\nLanguage models pre-trained on large-scale text corpora have achieved remarkable success in building text mining systems. Meanwhile\, text is usually accompanied by various types of structural signals\, such as document metadata\, concept ontologies\, and citation networks\, that can potentially benefit the understanding of text. To enhance the effectiveness of text mining methods\, my research focuses on teaching language models to exploit structural information for both fundamental tasks and advanced domain-specific applications\, with an emphasis on understanding and augmenting scientific discovery. In the first part of the talk\, I will present structure-aware classification algorithms that can predict relevant categories of a scientific paper from hundreds of thousands of candidate classes. These methods have been adapted into the Microsoft Academic Graph production pipeline. The second part of the talk will introduce seed-guided topic mining approaches that find category-indicative entities and structural signals. In the third part\, I will discuss how to leverage multi-task language model pre-training techniques to facilitate advanced applications in the scientific domain\, such as patient-to-article retrieval and paper-reviewer matching. Finally\, I will outline future research directions\, including structure-aware usage of large language models\, flexible translation between different types of scientific data\, and data mining for accelerating science and innovation.  \n\n\n\nYu Zhang is a Ph.D. candidate in the Department of Computer Science at the University of Illinois Urbana-Champaign\, advised by Prof. Jiawei Han. Prior to UIUC\, he received his B.Sc. degree in Computer Science from Peking University. Yu’s research focuses on structure-enhanced text mining and its applications in scientific literature understanding. His first-authored papers have been published in top-tier venues in the fields of data mining\, natural language processing\, and information retrieval. Yu has been awarded the UIUC Dissertation Completion Fellowship and the Yunni & Maxine Pao Memorial Fellowship.
URL:https://njbda.org/event/njit-data-science-seminar-series/
LOCATION:Guttenberg Information Technologies Center (GITC)\, 218 Central Ave\, Newark\, New Jersey\, 07102\, United States
CATEGORIES:lectures/talks
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DTSTART;TZID=America/New_York:20240212T110000
DTEND;TZID=America/New_York:20240212T115000
DTSTAMP:20260420T020022
CREATED:20240209T141031Z
LAST-MODIFIED:20240209T142439Z
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SUMMARY:Performance Engineering for Scalable AI
DESCRIPTION:Speaker: Xuhao Chen\, Research Scientist\, MIT CSAIL\n\n\n\nHosted by Stevens Institute of Technology \n\n\n\nLocation: Gateway North 303 (with virtual option)\n\n\n\nABSTRACT\n\n\n\nDue to massive size\, complex algorithms and irregular data structures\, AI applications are expensive and hard to scale\, which poses great challenges in computing system design. \n\n\n\nIn this talk\, I will discuss my approach called cross-stack performance engineering\, to address this challenge. I will describe software and hardware system design principles\, optimization techniques and automation methodologies\, across different layers of the system stack. I will show promising results to demonstrate that this cross-stack approach is effective to make AI scalable. \n\n\n\nBIOGRAPHY\n\n\n\nXuhao Chen is a Research Scientist at MIT CSAIL. Dr. Chen is broadly interested in parallel systems and architectures\, with a focus on AI and big-data applications. His recent work aims to make AI scalable by designing efficient algorithms\, software systems and hardware accelerators. His work has been published in OSDI\, ISCA\, MICRO\, VLDB\, ICS\, etc. \n\n\n\nZoom link: https://stevens.zoom.us/j/91365277622
URL:https://njbda.org/event/performance-engineering-for-scalable-ai/
LOCATION:Gateway Academic Center\, 6th Street Lot\, 601 Hudson St\, Hoboken\, New Jersey\, 07030\, United States
CATEGORIES:lectures/talks
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240216T093000
DTEND;TZID=America/New_York:20240216T133000
DTSTAMP:20260420T020022
CREATED:20240112T160105Z
LAST-MODIFIED:20240214T194420Z
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SUMMARY:NJBDA Research Collaboration Forum
DESCRIPTION:The New Jersey Big Data Alliance is convening the NJBDA Research Forum which is open to all research professionals\, faculty\, research computing professionals\, students\, and other campus partners interested in shaping the Big Data and AI research collaboration landscape. Please feel free to share with your communities! \n\n\n\nOur keynote speaker is Dr. Stephen K. Burley\, Director of the RCSB Protein Data Bank.  \n\n\n\n Forum highlights: \n\n\n\n\nBig Data and AI Research Collaborations\n\n\n\nCommunities and Resources for Advancing Collaborations\n\n\n\nFunding Opportunities\n\n\n\nEstablish Contacts with the New Jersey Big Data & AI Research Community\n\n\n\n\nFor additional information\, contact research@njedge.net. \n\n\n\nAgenda\n\n\n\nPDF version \n\n\n\n9:30 AMRegistration & Light Refreshments10:00 AMWelcome and Opening Remarks (NJBDA and Saint Peter’s University host institution)Forough Ghahramani\, Vice President\, NJBDA Research Committee; Assistant Vice President\, Research & Innovation\, NJ EdgeSharath Kumar Jagannathan\, Ph.D.\, Assistant Professor;School of Business & Data Science Institute\, Saint Peter’s University10:05 AMNJBDA Updates: New Jersey Big Data Alliance Annual Symposium and The Journal of Big Data and Artificial IntelligenceForough Ghahramani\, Assistant Vice President\, Research & Innovation\, NJ Edge Hieu Nguyen\, Ph.D.\, Professor\, College of Science and Mathematics\, Rowan University10:15 AMResources and Communities for Advancing Research CollaborationsJudith Sheft\, Executive Director\, New Jersey Commission on Science\, Innovation and TechnologyForough Ghahramani\, Assistant Vice President\, Research & Innovation\, NJ Edge10:30 AMKeynote: “Protein Data Bank: From Two Epidemics to the Global Pandemic to mRNA Vaccines and Paxlovid“Stephen K. Burley\, M.D.\, D.Phil; University Professor and Henry Rutgers Chair; Founding Director\, Institute for Quantitative Biomedicine; Director\, RCSB Protein Data Bank; Co-Lead\, Cancer Pharmacology Research Program\, Cancer Institute of New Jersey; Rutgers\, The State University of New Jersey11:15 AMResearch collaboration opportunities – lightning presentations11:15-11:25 – “Blueberry Drone AI: Research collaboration between Rowan University and Camden County College” – Hieu Nguyen\, PhD\, Professor\, College of Science and Mathematics\, Rowan University  11:25– 11:35 – “Unleashing the Power of Ontologies: From Structuring Knowledge to Ethical AI” – Navya Martin\, Ph.D. Candidate\, Department of Computer Science\, New Jersey Institute of Technology  11:35 – 11:45 – “Application of Machine learning and Deep learning to diverse challenges in Bioinformatics and Computational Biology”- Iman Dehzang\, Ph.D. Assistant Professor\, Dept. of Computer Science\, Rutgers\, The State University of New Jersey 11:45 – 11:55 – “Learning Hyperbolic Brain Network Representations for Healthy Aging Trajectories and Cognitive Decline Prediction” – Mengjia Xu\, Ph.D.\, Assistant Professor\, Department of Data Science\, Ying Wu College of Computing\, New Jersey Institute of Technology 12:00 PMResearch funding opportunity and tips for writing successful grant proposalsGreg Monaco\, Ph.D.\, CEO\, Research Advisors12:30 PMWorking Lunch – Roundtable discussions by broad areas of research AI and Machine/Deep LearningCollaboration between 4-year and 2-year schoolsGenerative AI (ex: ChatGPT)Healthcare/MedicineCybersecurity\, Cyber infrastructure\, HPCPhysics\, Astro physicsSmart cities\, IoTSustainabilityOther areas of interest1:15 PMRoundtable Session Reports1:30 PMWorkshop Adjourns and Informal Networking\n\n\n\nParking\n\n\n\nParking is available at Armory Lot located at 686 Montgomery Street. \n\n\n\nAssistance with directions or have any questions about parking\, please contact one of our Team members: \n\n\n\nSupreeth Dandu: +1 571 456 9919Rohith Sanku: +1 551 344 8839 \n\n\n\nPlease share this PDF flyer with your networks!
URL:https://njbda.org/event/njbda-research-collaboration-forum/
LOCATION:Saint Peter’s University – Jersey City Campus\, 2641 John F. Kennedy Blvd\, Dinneen Hall\, 1st Floor\, McIntyre Room\, Jersey City\, NJ\, 07306\, United States
CATEGORIES:forum/panel discussion
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240222T173000
DTEND;TZID=America/New_York:20240222T210000
DTSTAMP:20260420T020022
CREATED:20240209T153938Z
LAST-MODIFIED:20240209T153941Z
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SUMMARY:Meeting the Moment: BIPOC Tech Leader Voices
DESCRIPTION:“Meeting the Moment” is dedicated to uncovering how diverse perspectives drive social change in technology through storytelling. We will feature speakers who are pioneers in their fields\, ready to share their insights\, stimulate discussion\, and offer impactful takeaways. \n\n\n\nFeatured Speakers\n\n\n\n\nJerrel Peterson\, Director\, at Spotify\n\n\n\nSamuel Bradley\, Ph.D.\, M.S.W.\, Professor\, Macro Social Work\, Equity\, Justice\, and Inclusion\n\n\n\nMagdala Chery\, D.O.\, M.B.S.\, M.P.H.\, Physician and Health Equity Advocate\n\n\n\nNnemoma Chuwumerije\, M.S.W.\, Community Enablement Manager\, Lotic Ai\n\n\n\n\nProgram Highlights\n\n\n\nTechTalks: Enlightening talks by our speakers\, detailing their tech journey and insights. \n\n\n\nTechTable: A conversation on reimagining tech innovation at the crossroads of social work. \n\n\n\nPanel Discussion & Q&A: An interactive session with our speakers\, offering direct engagement and insights. \n\n\n\nNetworking Mix and Mingle Following the panel discussion\, we invite you to join us for a networking mix and mingle session. This will be an excellent opportunity to connect with the speakers\, fellow attendees\, and professionals over wine and cheese. It’s a perfect setting to build connections\, share ideas\, and foster collaborations in a relaxed and friendly environment. \n\n\n\nThis event is organized by the Master of Social Work and Master of Public Administration programs and sponsored by the College of Arts and Sciences. \n\n\n\nDon’t miss this opportunity to be part of a meaningful conversation on technology and social impact\, and to network with like-minded individuals passionate about making a difference. \n\n\n\nWe look forward to seeing you there for an evening of insightful discussions and enriching connections.
URL:https://njbda.org/event/meeting-the-moment-bipoc-tech-leader-voices/
LOCATION:Seton Hall University\, Bethany Hall\, Room A\, South Orange\, New Jersey\, ]07079\, United States
CATEGORIES:forum/panel discussion
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