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#Upcoming Events


ACM-UEMJ Presents Distinguished Speaker Program on
Machine Learning the Harness track:Crowdsourcing and varying Race History

Robert P. Schumaker is an Associate Professor of Computer Science at the University of Texas at Tyler. He received his PhD in MIS from the University of Arizona in 2007, an MBA degree in Management and International Business from the University of Akron in 2001, and a Bachelors of Science degree in Civil Engineering from the University of Cincinnati in 1997. Rob is also the Associate Editor for Decision Support Systems, past editor for Communications of the International Information Management Association, has authored a book on Sports Data Mining, several book chapters, multiple journal articles in DSS, ACM TOIS, CACM and JASIST as well as had his research featured in the Wall Street Journal and numerous other media outlets.

Rob’s overall research interests involve the uses of technology to acquire, deliver and make predictions in a variety of Businessrelated environments. These interests further branch into computer mediated communications, design science, human computer interfaces, machine learning algorithms, natural language processing, technology acceptance models and textual data mining. In particular, Rob focuses on the areas of textual-financial prediction and sports data mining.

In textual-financial prediction, Rob created the AZFinText system to examine the relationship between financial news articles and their impact on stock market prices. This project utilizes various textual representation schemes, price prediction models and machine learning techniques to accomplish profitability in extreme near-term trading. Based on the premise that unexpected news events can shape the price of a stock, this system capitalizes on automatically identifying the relevant keywords in the news article and then executing a trade well-before human traders have a chance to read the news article.

His recent work has focused on Press Release Engineering. Knowing that HFT systems are now using textual/financial information, can we manipulate the news articles to drive stock price. This system looks at three aspects, terms, timing and outlet. Terms deals with carefully crafting news articles using specific terms known to move stock price. Timing looks at optimizing article release for maximized results. Outlet refers to which media outlet to release the article. Taken together, Press Release Engineering may be a new avenue for companies to manage their stock price. Sports data mining includes mining relevant data from sports-related databases and producing accurate predictions from them can provide an edge to sports organizations and gamblers alike. Using the Moneyball style philosophy, this project analyzes the use of different machine learning techniques to predict outcomes of sporting events. His recent research project focuses on using Twitter as a prediction vehicle for match outcomes. Using the ideas of crowd wisdom, we explore the role that crowd sentiment can play in evaluating game results. Will crowds that are more confident or nervous lead to better predictability? We plan to explore these questions within the domain of English Premier League Soccer and the NFL. Results from this exploratory analysis have the potential application to similar sporting domains.

Robert P. Schumaker is a Senior Member and has been a member of ACM since 2004. He has been involved with ACM through publishing articles in ACM outlets such as ACM Transactions on Information Systems and Communications of the ACM. Rob also started a professional ACM chapter in the Greater Hartford Connecticut area.

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Dr. Robert P. Schumaker

Associate Professor of Computer Science at the University of Texas at Tyler,Texas, USA


International Coding Competition

Online Coding Compitition

#Past Events


ACM-UEMJ Presents Distinguished Speaker Program on Smart Grid: Where Embedded Computing , Communication and Power System and Power System Meet

Professor Sandeep K. Shukla  is an IEEE fellow, an ACM Distinguished Scientist, and served as an IEEE Computer Society Distinguished Visitor during 2008-2012, and as an ACM Distinguished Speaker during 2007-2014. He is currently the Editor-in-Chief of ACM Transactions on Embedded Systems, and associate editor for ACM transactions on Cyber Physical Systems.  In the past, he has been associate editors for IEEE Transactions on Computers, IEEE Transactions on Industrial Informatics, IEEE Design & Test, IEEE Embedded Systems Letters, and many other journals. He has guest-edited more than 15 special issues for various IEEE and ACM journals. He has written or edited 9 books, published over 200 journal and conference papers. He has been program chairs for 4 IEEE/ACM International conferences, and General Chair for 2 of these conferences. He has served on the program committee of more than 100 international conferences and workshops. He supervised 12 PhDs, and directed five post-doctoral scholars at Virginia Tech.  Sandeep's current research focus is on Cyber Security for Critical Infrastructures. He is coordinating a research center on cyber security for critical infrastructures along with his colleagues at IIT Kanpur at the moment.Read More

Dr. Sandeep K. Shukla

Head Dept. of Computer Science Engineering,IIT-Kanpur


ACM-UEMJ Presents Distinguished Speaker Program on Services Science and Services Computing

Shrisha Rao received his Ph.D. in computer science from the University of Iowa, and before that his M.S. in logic and computation from Carnegie Mellon University. He is a professor at IIIT-Bangalore, a graduate school of information technology in Bangalore, India. His primary research interests are in applications of distributed computing, specifically algorithms and approaches for resource management in complex systems such as used in cloud computing. He also has interests in energy efficiency, sustainable computing ("Green IT"), renewable energy and microgrids, applied mathematics, and intelligent transportation systems. Dr. Rao is an ACM Distinguished Speaker and a Senior Member of the IEEE. He is also a life member of the American Mathematical Society and the Computer Society of India.

He is also a regular reviewer for the ACM Computing Reviews journal (computingreviews.com), which reviews a sample of the latest publications related to the computing sciences.

Dr. Shrisha Rao




The program will be streamed live through the official facebook handle of UEMJ-ACM Student Chapter.All the interested candidates are requested to register for the same through the link below. Offline participation is open for Students of UEM,Jaipur only on successful registration through the same link. All the registered candidates will be provided with certificate of participation


is for analysing the social networks induced by calling patterns of the customers of Telecom Service Providers. It builds a social network of the telecom subscribers from the “who-calls-whom” CDR data. By analyzing the social network thus constructed, we can derive several useful insights about the customers’ interaction amongst each others and its implications. SNAzzy can find communities; find targets for campaigns of socially influenced product, predict potential churners, determine the ideal targets for acquisition from competition and assign importance score to the customers. his can help identifying group targets for promotions and campaigns. SNAzzy can also analyse churn behaviour to identify potential churners. Using SNAzzy, one can identify potential acquisition targets from the competition.

Dr.Amit A. Nanavati is a Senior Technical Lead for Cognitive Automation Solutions at IBM. He joined IBM Research India in 2000 and has since worked on projects in ecommerce, data mining, telecom and mobile. He managed the Telecom Solutions Research group (2008-2013) which won Research Division Awards for their work on Social Network Analysis in Telecom and the Spoken Web projects. He was a Senior Manager of the Mobile and Telecom Research Group in 2014. Amit was named a Master Inventor in 2011, and became a member of the IBM Academy of Technology in 2013. He co-authored a book on "Speech in Mobile and Pervasive Environments" published by John Wiley, UK in 2012. He co-hosted the SiMPE workshop at ACM MobileHCI for 10 years. He has 50+ publications and 37 US patents granted. He became an ACM Distinguished Speaker in 2014, and ACM Distinguished Scientist in 2015. He was also a volunteer for the SIGDEV proposal to ACM in 2011. Prior to joining IBM, he worked for Netscape in California, after completing his Ph.D. in Computer Science from Louisiana State University, USA. During his Ph.D., he interned at the Jet Propulsion Lab (NASA) in Pasadena.

Dr.Amit A Nanavati

Senior Researcher
IBM INDIA Research Lab


Coding Competition held in UEM,Jaipur


Workforce Development Program in PHP & MySQL

It is held in Uem,Jaipur by Dept. of CSE in collaboration with ORACLE University.