Brij Disa Centre for Data Science and AI

We are excited to host Prof. Sanjay M., Curators' Distinguished Professor from Missouri University of Science and Technology, for a seminar on:  Social Media Data Analytics for Disaster Management Date: 29th November 2024   Time: 4:00 PM - 5:30 PM   Venue: KLMDC Auditorium-2, Main Campus  Abstract: A disaster can refer to an effect and result of natural hazards like the hurricane, flood, earthquake, tornado, heatwave, etc. Every activity of a disaster management such as taking precautions, managing evacuation, running rescue missions demands accurate and up-to-date information to allow a quick, easy and cost-effective process and hence reduce the loss of lives and properties. Social media has emerged as a valuable supplementary tool in this context, providing real-time data that can assist authorities in developing prompt and effective response strategies. However, despite its potential, utilizing social media data for disaster management presents several challenges. It needs a multi-faceted approach that leverages deep learning and natural language processing (NLP) techniques tackling the complexities of contextual information and the relevance of social media content. The talk will offer actionable insights that significantly enhance situational awareness information, and decision-making during disasters. Biography: Sanjay K Madria is a Curators’ Distinguished Professor in the Department of Computer Science at the Missouri University of Science and Technology (formerly, University of Missouri-Rolla, USA). He has published over 300 Journal and conference papers in the areas of mobile and sensor computing, big data and cloud computing, data analytics and cybersecurity. He won five IEEE best papers awards in conferences such as IEEE MDM and IEEE SRDS. He is a co-author of a book (published with his two PhD graduates) on Secure Sensor Cloud published by Morgan and Claypool in Dec. 2018. He has graduated 21 PhDs and 34 MS thesis students, with 12 current PhDs. NSF, NIST, ARL, ARO, AFRL, DOE, Boeing, CDC-NIOSH, ORNL, Honeywell, and others have funded his research projects of over $25M. He has been awarded JSPS (Japanese Society for Promotion of Science) invitational visiting scientist fellowship, and ASEE (American Society of Engineering Education) fellowship.  In 2012 and in 2019, he was awarded NRC Fellowship by National Academies, US. He is ACM Distinguished Scientist and served as an ACM and IEEE Distinguished Speaker He is an IEEE Senior Member and IEEE Golden Core Awardee. This talk is a must-attend for anyone interested in AI, disaster management, and the future of real-time data applications.  We look forward to seeing you there! #DataScience #ArtificialIntelligence #DisasterManagement #SocialMediaAnalytics #DeepLearning #NaturalLanguageProcessing #RealTimeData #Seminar #AIForGood #CrisisManagement #BigData Ankur Sinha | Sriram Sankaranarayanan | Neaketa Chawla | Indian Institute of Management Ahmedabad

We are delighted to host an engaging symposium: "From the mind to magnets... and back again: How Hopfield & Hinton ushered the 'Physics revolution' in AI" by Sitabhra Sinha, Professor of Theoretical Physics and Dean of the Computational Biology Graduate Program at the Institute of Mathematical Sciences (IMSc), Chennai. Date: November 18, 2024  Venue: SR 13 Academic block 2, New Campus Time: 10:45am to 1pm Abstract: The millennia-old division between physical and living systems has been gradually breaking down from the middle of the last century. Ever since the 1940s, when Bohr, Schrodinger, McCulloch, Pitts and other scientists showed that aspects of both life and mind can be understood in terms of simple physical models, it's becoming clear that living organisms can be understood using only physico-chemical processes without requiring any "vitalism"-like property that is supposedly unique to living systems. That life and mind are just processes which emerge through interaction between inanimate components is shown brilliantly in the elegant work of Hopfield, later extended by Hinton, that was honored by the Nobel Committee this year. In this talk we will trace how physics illuminated and inspired the breakthroughs that eventually led to deep learning and the present era of AI. About the Speaker: Sitabhra Sinha is Professor of Theoretical Physics and Dean of the Computational Biology Graduate Program at the Institute of Mathematical Sciences (IMSc), Chennai and was earlier also adjunct faculty of the National Institute of Advanced Studies (NIAS), Bangalore and the Department of Computer Science, IIT Kharagpur. He did his PhD on chaotic neural networks at the Machine Intelligence Unit of the Indian Statistical Institute, Kolkata and postdoctoral research at the interface of physics & biology, in the Department of Physics of the Indian Institute of Science (IISc), Bangalore and later in the DIvision of Cardiology at the Weill Medical College of Cornell University, New York City. After joining the faculty of IMSc in 2002, he has held joint appointments in the Theoretical Physics and Computational Biology groups. His research interests span complex systems, nonlinear dynamics and statistical physics with applications to systems biology, economic & social sciences and computational linguistics. Register here: https://lnkd.in/dpwepaS3 Don’t miss this opportunity to know more about the physics revolution in AI. Looking forward to seeing you there! #PhysicsInAI #AIRevolution #ArtificialIntelligence #DeepLearning #ComplexSystems #TheoreticalPhysics #NeuralNetworks #EmergentPhenomena #AIAndPhysics #ScientificBreakthroughs #STEMEducation #KnowledgeSharing #ResearchMatters #InnovationInScience #MachineLearning #DataScience #CognitiveScience Anindya S. Chakrabarti | Ankur Sinha | Sriram Sankaranarayanan | Neaketa Chawla | Indian Institute of Management Ahmedabad

Exciting Symposium Alert! The Brij Disa Centre for Data Science and AI (CDSA) at IIM Ahmedabad is thrilled to announce an upcoming symposium: "From the Mind to Magnets... and Back Again: How Hopfield & Hinton Ushered the 'Physics Revolution' in AI" by Sitabhra Sinha, Professor of Theoretical Physics and Dean of the Computational Biology Graduate Program at the Institute of Mathematical Sciences (IMSc), Chennai. Date: November 18, 2024   Venue: SR 13, Academic Block 2, New Campus Time: 10:45 am - 1 pm Abstract: The millennia-old division between physical and living systems has been gradually breaking down from the middle of the last century. Ever since the 1940s, when Bohr, Schrodinger, McCulloch, Pitts and other scientists showed that aspects of both life and mind can be understood in terms of simple physical models, it's becoming clear that living organisms can be understood using only physico-chemical processes without requiring any "vitalism"-like property that is supposedly unique to living systems. That life and mind are just processes which emerge through interaction between inanimate components is shown brilliantly in the elegant work of Hopfield, later extended by Hinton, that was honored by the Nobel Committee this year. In this talk we will trace how physics illuminated and inspired the breakthroughs that eventually led to deep learning and the present era of AI. About the Speaker: Sitabhra Sinha is Professor of Theoretical Physics and Dean of the Computational Biology Graduate Program at the Institute of Mathematical Sciences (IMSc), Chennai and was earlier also adjunct faculty of the National Institute of Advanced Studies (NIAS), Bangalore and the Department of Computer Science, IIT Kharagpur. He did his PhD on chaotic neural networks at the Machine Intelligence Unit of the Indian Statistical Institute, Kolkata and postdoctoral research at the interface of physics & biology, in the Department of Physics of the Indian Institute of Science (IISc), Bangalore and later in the DIvision of Cardiology at the Weill Medical College of Cornell University, New York City. After joining the faculty of IMSc in 2002, he has held joint appointments in the Theoretical Physics and Computational Biology groups. His research interests span complex systems, nonlinear dynamics and statistical physics with applications to systems biology, economic & social sciences and computational linguistics. Don’t miss this chance to explore the physics behind AI’s evolution.   Register here: https://lnkd.in/d2HhxiZG We look forward to your participation! #AIRevolution #PhysicsInAI #HopfieldHinton #TheoreticalPhysics #DeepLearningOrigins #ComplexSystems #DataScienceSymposium #ArtificialIntelligence #IIMAhmedabad #IMScChennai #PhysicsAndAI #SymposiumAlert #BrijDisaCentre Ankur Sinha | Sriram Sankaranarayanan | Neaketa Chawla | Indian Institute of Management Ahmedabad

The Brij Disa Centre for Data Science and AI recently hosted an insightful webinar titled "Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning", featuring Vinayak Iyer, Senior Applied Scientist at Uber. The session explored how Uber leverages advanced machine learning techniques to optimize incentive budget allocation across its global marketplace. Uber manages a multi-billion-dollar marketplace, with $17.9 billion in Gross Bookings recorded in Q3 2023 alone. Historically, budget allocation for marketplace levers like driver incentives and rider promotions was handled manually, which did not fully utilize Uber’s vast amounts of historical and experimental data. Vinayak discussed an automated system which uses causal deep learning models to predict how different incentives affect rider and driver behavior. This system leverages historical data to forecast supply, demand, and marketplace objectives, and combines a novel S-Learner architecture with b-spline models for efficiency control. The optimization algorithms ensure that the system finds the most effective budget allocation across regions, considering business constraints. This approach has led to substantial improvements in Uber’s ability to allocate resources effectively, driving better marketplace outcomes. The system, now deployed weekly, has demonstrated significant business impact, enabling Uber to optimize its multi-billion-dollar operations more efficiently. You can find more details in the paper here: https://lnkd.in/dBh-gDHK A big thank you to Vinayak for sharing these valuable insights and to all the attendees who participated in the enriching session. #MachineLearning #CausalInference #DataScience #AI #MarketplaceOptimization #UberTech #DeepLearning #Innovation #BusinessOptimization #PredictiveAnalytics #WebinarRecap #TechInsights #DataDriven #Leadership #DigitalTransformation Ankur Sinha | Sriram Sankaranarayanan | Neaketa Chawla | Indian Institute of Management Ahmedabad

An article in our latest communique titled "How AI is Disrupting the Film Industry"  dives into the silent revolution AI is bringing to the film industry—from automating scriptwriting and editing to shaping visual effects and casting decisions. But with these innovations come important ethical and creative questions. How will AI reshape the future of cinema, and where do we draw the line between human artistry and machine-driven content? Dive into the fascinating world of how AI is transforming every aspect of filmmaking—from scriptwriting and visual effects to marketing and distribution. As AI-driven creativity merges with human artistry, new ethical and creative challenges arise. What does the future of cinema hold? Author: Romika Dhingra Read more in our latest communique here: https://lnkd.in/dMu7bNKP #AI #FilmIndustry #AIDisruption #FutureOfCinema #ArtificialIntelligence #Filmmaking #AICreativity #TechInFilm #AIInMedia #DigitalTransformation #VisualEffects #AIAndEthics #Scriptwriting #CinematicInnovation #AIArtistry #EthicalAI Ankur Sinha | Sriram Sankaranarayanan | Neaketa Chawla | Indian Institute of Management Ahmedabad

The Brij Disa Centre for Data Science and AI (CDSA) at Indian Institute of Management Ahmedabad, in collaboration with the Wadhwani Foundation, recently launched the report, "Labour-force Perception about AI: A Study on Indian White-collar Workers." Released on 23rd August 2024, this study is one of the first to explore how AI is perceived by India’s white-collar workforce. Dive into the findings by accessing the full report below!  #AIRevolution #FutureOfJobs #AIInWorkforce #DigitalTransformation #AIInnovation #CDSA #IIMA #WadhwaniFoundation #ArtificialIntelligence Anindya S. Chakrabarti | Ankur Sinha | Sriram Sankaranarayanan | Aditya Moses | Deep Mukherjee | Amita Todkar | Debjit Ghatak | Neaketa Chawla | Prakash Kumar

Our upcoming webinar on Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning is almost here! Don’t miss the opportunity to explore how Uber uses cutting-edge machine learning techniques to improve its ability to allocate resources efficiently. Date: October 10, 2024 Time: 04:30 PM IST Speaker: Vinayak Iyer, Senior Applied Scientist at Uber, with a PhD in Economics from Columbia University. Vinayak specializes in incentive budget allocation and structural pricing optimization. Abstract of the talk: Budget allocation of marketplace levers, such as incentives for drivers to complete certain trips or promotions for riders to take more trips have long been both a technical and business challenge at Uber. It is crucial to understand the impact of lever budget changes on the market and to estimate their cost efficiency given the need to achieve predefined budgets, where the eventual goal is to find the optimal allocations under those constraints that maximize some objective of value to the business. We introduce an end-to-end machine learning and optimization procedure to automate budget decision-making for cities where Uber operates. We propose a state-of-the-art deep learning (DL) estimator based on S-Learner that leverages a massive amount of user experimental and temporal-spatial observational data. We also built a novel tensor B-Spline regression model to enforce efficiency shape control using experimental data while retaining the sophistication of the DL models’ response surface. This procedure has demonstrated substantial improvement in Uber’s ability to allocate resources efficiently. If you haven't registered yet, there's still time! Register Here: https://lnkd.in/dSEU2imB See you there! #MachineLearning #UberTech #DataScience #AIinBusiness #Optimization #MarketplaceOptimization #DeepLearning #EconomicsAndTech #TechWebinar #ResourceAllocation #CausalInference #TechTalk #DataDrivenDecisions #AppliedAI #BusinessOptimization Ankur Sinha | Sriram Sankaranarayanan | Neaketa Chawla | Indian Institute of Management Ahmedabad

Join us for an exciting webinar on Marketplace Optimization by Vinayak Iyer, Senior Applied Scientist at Uber Title: Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning   Date: October 10, 2024  Time: 04:30 PM IST Abstract of the talk: Budget allocation of marketplace levers, such as incentives for drivers to complete certain trips or promotions for riders to take more trips have long been both a technical and business challenge at Uber. It is crucial to understand the impact of lever budget changes on the market and to estimate their cost efficiency given the need to achieve predefined budgets, where the eventual goal is to find the optimal allocations under those constraints that maximize some objective of value to the business. We introduce an end-to-end machine learning and optimization procedure to automate budget decision-making for cities where Uber operates. We propose a state-of-the-art deep learning (DL) estimator based on S-Learner that leverages a massive amount of user experimental and temporal-spatial observational data. We also built a novel tensor B-Spline regression model to enforce efficiency shape control using experimental data while retaining the sophistication of the DL models’ response surface. This procedure has demonstrated substantial improvement in Uber’s ability to allocate resources efficiently. Speaker: Vinayak Iyer, Senior Applied Scientist at Uber, with a PhD in Economics from Columbia University. Vinayak specializes in incentive budget allocation and structural pricing optimization. Don’t miss this opportunity to dive into cutting-edge machine learning applications in real-world business challenges! Register in advance for this webinar: https://lnkd.in/dSEU2imB #MachineLearning #Optimization #CausalInference #Uber #Webinar Ankur Sinha | Sriram Sankaranarayanan | Neaketa Chawla | Indian Institute of Management Ahmedabad

Postdoctoral Research Associate At Brij Disa Centre For Data Science And Artificial Intelligence We are hiring a Postdoctoral Position In Spatio-Temporal Crime Prediction Using Advanced Modeling Techniques Please read the document attached below for full details and application instructions. Apply here: https://lnkd.in/dkDukeAH Application deadline: 31st October 2024 #PostdocOpportunity #ResearchJobs #AcademicJobs #CrimePrediction #DataScience #MachineLearning #ArtificialIntelligence #SpatioTemporalAnalysis #ResearchPosition #TechForGood #InnovationInAI #AIResearch #StatsAndData #OpportunitiesInIndia #IIMAhmedabad Ankur Sinha | karthik sriram | Neaketa Chawla | Indian Institute of Management Ahmedabad

We are excited to share the key insights from our latest report, "Labour-force Perception about AI: A Study on Indian White-collar Workers." Conducted by the Brij Disa Centre for Data Science and AI at IIM Ahmedabad in collaboration with the Wadhwani Foundation, this research highlights the proactive and positive attitude of employees, with 55% already utilizing AI tools and 70% upskilling in AI for career growth. As India takes center stage in the global AI race, harnessing the potential of its human capital should be a strategic priority for decision-makers in policy and business. For more in-depth insights, check out the full report here: https://lnkd.in/gGrFhn3S #AIInIndia #WorkforceTransformation #AIForGood #FutureOfWork #Upskilling #ArtificialIntelligence #HumanCapital #IndiaAI #AIInsights #TechInnovation #DigitalTransformation #PolicyAndBusiness #AIResearch #IIMAhmedabad Anindya S. Chakrabarti | Ankur Sinha | Sriram Sankaranarayanan | Aditya Moses | Deep Mukherjee | Amita Todkar | Debjit Ghatak | Neaketa Chawla | Indian Institute of Management Ahmedabad | Wadhwani Foundation