『Hajiaghayi Podcast』のカバーアート

Hajiaghayi Podcast

Hajiaghayi Podcast

著者: Mohammad T Hajiaghayi
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Educational podcasts by Professor Mohammad Hajiaghayi on Science, education, startup, computer, technology, Olympiad, etc. Please Follow us at Wiki & Linkedin: @Mohammad Hajiaghayi Twitter:@MTHajiaghayi YouTube:@hajiaghayi Instagram:@mhajiaghayi Facebook:@mohammad.hajiaghayi© 2022 マネジメント・リーダーシップ リーダーシップ 科学 経済学
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  • Oper. Research Management Job Market Strategies by Bertimas, Golrezaei, Hajiaghayi, Shmoys, ZeeviGMT20250518-143237_Recording_gallery_1920x1080
    2025/05/18

    We are pleased to invite you to a LIVE distinguished YouTube panel discussion, partially supported by ACM SIGACT, on strategic career pathways for emerging scholars in OM/OR. This session, “Pathways to Success: Job Market Strategies for Ph.D. Students and Postdocs in Operations Management (OM)/ Operations Research (OR),” on Sunday May 18th, 10:30 AM ET.

    We brings together esteemed leaders to provide insights and guidance on navigating career choices, whether in academia, research labs, or industry.


    Potential Discussion Topics:

    -- Career Path & Decision-Making: Insights into choosing between academia, industry, and research labs, and the key factors influencing these decisions.

    -- Application Process & Preparation: Guidance on creating impactful applications, the role of publications, and tips for writing effective teaching and research statements.

    -- Interviewing & Negotiation: Common interview questions, advice on salary and whole package negotiations, and factors to consider for long-term success.

    -- Academia vs. Industry: A comparison of growth opportunities, work-life balance, and career progression across different sectors.

    -- Long-Term Success & Networking: Strategies for building professional networks, finding mentors, and initiating collaborations.


    Our Distinguished Panelists:


    Prof. Dimitris Bertimas, the Boeing Leaders for Global Operations Professor of Management, a Professor of Operations Research, and the Associate Dean for the Master of Business Analytics at MIT. He was named Vice Provost for Open Learning in September 2024.


    Prof Negin Golrezaei, the Maurice Young (1961) Career Development Associate Professor of Management and an Associate Professor of Operations Management at the MIT Sloan School of Management, with prior employment at Google and Meta, recognized for her expertise in designing dynamic data-driven strategies and algorithms for digital marketplaces.


    Prof. Mohammad Hajiaghayi, Minker Professor at the University of Maryland and Research Scientist at Google, with prior employment at Amazon, Overstock, AT&T, and Microsoft, recognized for his expertise in algorithms and game theory.


    Prof. David Shmoys, Laibe/Acheson Professor of Business Management and Leadership Studies School of Operations Research and Information Engineering, Department of Computer Science, and Center for Data Science for Enterprise and Society. His research is on the design and analysis of effective data-driven models and efficient algorithms.


    Prof. Assaf Zeevi, the Kravis Professor of Business at the Graduate School of Business, Columbia University. His research and teaching interests lie at the intersection of Operations Research, Statistics, and Machine Learning with applications in online retail platforms, healthcare analytics, dynamic pricing engines, recommender systems, and social learning in online marketplaces.


    This panel offers a unique opportunity for early-career researchers to gain valuable perspectives on navigating the job market, building successful careers, and making informed decisions that align with their professional goals.


    Please join us and ask questions online.

    #CareerDevelopment, #PhDJobMarket, #Operations Research, #Operations Management, #Academia, #Industry, #ResearchCareers, #ProfessionalGrowth

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    1 時間 38 分
  • Strategies for Securing Early Career Awards with Hajiaghayi, Roth, Rubinstein & Saha
    2025/01/23
    We are pleased to invite you to a LIVE distinguished YouTube panel discussion on Strategies for Securing Early Career Awards📅 Date: Wed, January 22⏰ Time: 2 PM ETWe are thrilled to announce a distinguished panel discussion on early career awards in computer science, featuring insights from renowned experts who have achieved significant recognition in their fields. This session will focus on strategies for securing prestigious honors like NSF CAREER, ONR YIP, AFOSR YIP, Sloan Fellowships, Microsoft Faculty Fellowships, Packard Fellowships, PECASE, and more.Our Distinguished Panelists:____________________________Mohammad Hajiaghayi (University of Maryland)Dr. Hajiaghayi is the Jack and Rita G. Minker Professor of Computer Science at the University of Maryland and a Guggenheim Fellow, Blavatnik Honoree, ACM Fellow, IEEE Fellow. His research spans algorithms, game theory, and big graph analysis. With over 300 publications and numerous patents, he is an expert in algorithms and game theory. He has received awards including the EATCS Nerode Prize and NSF CAREER and ONR Young Investigator Award.Aaron Roth (University of Pennsylvania)Dr. Roth is a Professor of Computer and Information Science at Penn, specializing in algorithmic fairness, algorithmic game theory, uncertainty quantification in machine learning, and privacy. He has received multiple awards including an NSF CAREER Award, a Sloan Fellowship, the Presidential Early Career Award for Scientists and Engineers (PECASE), and the Hans Sigrist prize. He has been the PC chair for COLT and for EC. He is the co-author of the Algorithmic Foundations of Differential Privacy and The Ethical Algorithm. Aviad Rubinstein (Stanford University)Dr. Rubinstein is an Assistant Professor at Stanford University, focusing on algorithmic game theory and algorithms broadly. He is the recipient of the Kalai Prize and ACM Doctoral Dissertation Award, and relevant to this panel Packard Fellowship and NSF CAREER award. He is a co-author of many research papers and a book of Algorithms for Toddlers. Barna Saha (University of California, San Diego)Dr. Saha is the Harry E. Gruber Endowed Chair Professor of Computer Science at UCSD, and serves as the Director of the National NSF TRIPODS Institute for Emerging CORE Methods in Data Science (EnCORE). Her research focuses on Theoretical Computer Science specifically on fine-grained complexity and developing fast algorithms for problems in data science. Among her many accolades include the Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, a Young Alumni Award from the Indian Institute of Technology Kanpur and an NSF CAREER Award. Why Attend?____________________________Learn the key strategies to craft compelling award applications.Gain insights into what selection committees look for.Understand how these awards can shape early career trajectories in academia, industry, and beyond.Discover practical tips from accomplished awardees.Join the Conversation____________________________Mark your calendar and join us for this live session to gain valuable knowledge and ask questions directly to our esteemed panelists.🔗 Watch Live at this YouTube VideoWe look forward to seeing you there!#EarlyCareerAwards, #AcademicExcellence, #academicawards, #CareerDevelopment, #NSFCAREER, #SloanFellowships, #PackardFellowships, #PECASE, #AcademicAwards, #GameTheory, #Algorithms, #DataScience
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    1 時間 28 分
  • CS Job Market Strategies for Ph.D. Students and Postdocs by Fortnow, Hajiaghayi, Immorlica & Khuller
    2024/11/12

    We are pleased to invite you to a LIVE distinguished YouTube panel discussion on strategic career pathways for emerging scholars in computer science. This session, “Pathways to Success: Job Market Strategies for Ph.D. Students and Postdocs in Computer Science,” on NOVEMBER 10 (Sunday), 11am ET, brings together esteemed leaders to provide insights and guidance on navigating career choices, whether in academia, research labs, or industry.


    Potential Discussion Topics:

    ____________________________

    Career Path & Decision-Making: Insights into choosing between academia, industry, and research labs, and the key factors influencing these decisions.

    Application Process & Preparation: Guidance on creating impactful applications, the role of publications, and tips for writing effective teaching and research statements.

    Interviewing & Negotiation: Common interview questions, advice on salary and start-up package negotiations, and factors to consider for long-term success.

    Academia vs. Industry: A comparison of growth opportunities, work-life balance, and career progression across different sectors.

    Long-Term Success & Networking: Strategies for building professional networks, finding mentors, and initiating collaborations.


    Our Distinguished Panelists:

    ____________________________

    Prof. Lance Fortnow, Dean of the College of Computing at the Illinois Institute of Technology, former Dean of Science at IIT, and past Chair of the School of Computer Science at Georgia Tech, renowned for his contributions to computational complexity.


    Prof. Mohammad Hajiaghayi, Professor at the University of Maryland and Research Scientist at Google, with prior employment at Amazon, Overstock, AT&T, and Microsoft, recognized for his expertise in algorithms and game theory.

    Dr. Nicole Immorlica, Senior Principal Researcher at Microsoft Research and former faculty member at Northwestern University, celebrated for her pioneering work at the intersection of economics and computation.


    Prof. Samir Khuller, Peter and Adrienne Barris Chair of Computer Science at Northwestern University, and former Chair of the CS Department at the University of Maryland, College Park, known for his expertise in graph algorithms and discrete optimization.


    This panel offers a unique opportunity for early-career researchers to gain valuable perspectives on navigating the job market, building successful careers, and making informed decisions that align with their professional goals.


    Please join us and ask questions online.

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    1 時間 21 分

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