Newswise — Mohammed Zaki, Rensselaer Polytechnic Institute professor and head of the Division of Pc Science, has been named an American Affiliation for the Development of Science (AAAS) fellow. AAAS fellows are elected yearly to acknowledge their extraordinary achievements in analysis, instructing, and expertise, in addition to in speaking science to the general public. Election as an AAAS fellow is taken into account a lifetime honor. Previous Fellows have included luminaries like Thomas Edison, W.E.B Dubois, Grace Hopper, Ellen Ochoa, Herbert Simon, and Steven Chu. 

Zaki is being acknowledged for his distinguished contributions to the fields of knowledge mining and machine studying, and for service to the educational group. 

“It is a great honor for me to be elected as an AAAS Fellow,” Zaki mentioned. “AAAS is the preeminent organization devoted to advancing science and serving society, which are both very important aspects, given the rapid advances in AI, machine learning, and data mining that are poised for outsized impact in our lives these days.” 

Zaki’s experience is in growing novel information mining and machine studying strategies, notably for studying from graph structured and textual information, with functions in bioinformatics, private well being, and monetary analytics. His almost 300 publications embrace the Information Mining and Machine Studying textbook (2nd Version, Cambridge College Press, 2020) and he holds six patents. Zaki is presently an affiliate editor for Information Mining and Data Discovery. He has co-chaired the entire main conferences in information mining and lately co-chaired the ACM Worldwide Convention on Data and Data Administration ’22. He serves on the manager board of the ACM Particular Curiosity Group on Data Discovery and Information Mining. 

Zaki’s analysis is supported partially by the Nationwide Science Basis (NSF), Protection Superior Analysis Initiatives Company (DARPA), Nationwide Institutes of Well being (NIH), Division of Power (DOE), IBM, Google, HP, and Nvidia. He was a recipient of the Nationwide Science Basis CAREER Award, the DOE Early Profession Principal Investigator Award, the HP Innovation Analysis Award, and a Google College Analysis Award. He’s a fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a fellow of the Affiliation for Computing Equipment (ACM). 

Zaki has been a Rensselaer college member since 1998 and a professor since 2009. Beforehand, he served because the affiliate division head and graduate program director for the Division of Pc Science. He earned a Ph.D. in pc science from the College of Rochester. 

“Professor Zaki is not only a world leader in the area of data mining and machine learning but he has also emerged as a strong leader within the Department of Computer Science,” mentioned Curt Breneman, Dean of the Rensselaer Faculty of Science. “We are all very proud of his well-deserved selection as an AAAS Fellow.” 

About Rensselaer Polytechnic Institute:

Based in 1824, Rensselaer Polytechnic Institute is America’s first technological analysis college. Rensselaer encompasses 5 colleges, over 30 analysis facilities, greater than 140 tutorial packages together with 25 new packages, and a dynamic group made up of over 6,800 college students and 104,000 dwelling alumni. Rensselaer college and alumni embrace upwards of 155 Nationwide Academy members, six members of the Nationwide Inventors Corridor of Fame, six Nationwide Medal of Know-how winners, 5 Nationwide Medal of Science winners, and a Nobel Prize winner in Physics. With almost 200 years of expertise advancing scientific and technological information, Rensselaer stays targeted on addressing international challenges with a spirit of ingenuity and collaboration. To study extra, please go to 


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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.


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