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
Hajiaghayi Podcast
Claim This Podcastby Mohammad T Hajiaghayi
43 episodes
Updated Bi-weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
40
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality46
Social0
YouTube85
Engagement0
Podcast Overview
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
Language
🇺🇲
Publishing Since
5/1/2022
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40
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality46
Social0
YouTube85
Engagement0
8
Excellent Areas
0
Good Performance
11
Growth Opportunities
excellent
Episode Length
53 minutes
Performing excellently!
needs improvement
Publishing Consistency
Every 26 days
Recommendations available
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Recent Episodes
May 18, 2025
Oper. Research Management Job Market Strategies by Bertimas, Golrezaei, Hajiaghayi, Shmoys, ZeeviGMT20250518-143237_Recording_gallery_1920x1080
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
January 23, 2025
Strategies for Securing Early Career Awards with Hajiaghayi, Roth, Rubinstein & Saha
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
November 12, 2024
CS Job Market Strategies for Ph.D. Students and Postdocs by Fortnow, Hajiaghayi, Immorlica & Khuller
Computer science leaders Lance Fortnow, Mohammad Hajiaghayi, Nicole Immorlica, and Samir Khuller share expert job market strategies for Ph.D. students and postdocs to achieve long-term success.
43 total episodes available
Deep-dive analytics for Hajiaghayi Podcast
Frequently asked questions
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- What is Hajiaghayi Podcast?
- How often does this podcast release new episodes?
This podcast updates bi-weekly.
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This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
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