Romero named ASME Fellow

Dr. Carlos Romero, director of Lehigh University’s Energy Research Center (ERC), has been elected as a Fellow of the American Society of Mechanical Engineers (ASME).

The distinction, one most prestigious in the field, recognizes outstanding achievements made by longstanding members of the professional society. Of the nearly 75,000 ASME members worldwide, fewer than 3,500 are designated as Fellows.

New Faculty for ChBE

Please join the Department of Chemical and Biomolecular Engineering (ChBE) in welcoming their newest faculty members: Dr. Whitney Blocher McTigue as Assistant Professor and Dr. Joseph Menicucci as Associate Teaching Professor and Associate Department Chair.
 
These faculty bring new expertise, new ideas, and new perspectives to the research and education missions of the ChBE department at Lehigh.
 

Sihong Xie: Pulling back the curtain on the intelligence behind AI

If algorithms are going to impact nearly every aspect of our lives, they should meet the highest standards of accountability. Yet little is known—particularly to those outside the field of computer science—about how these algorithms actually operate. 

Making this form of artificial intelligence more transparent to the lay audience is the driving force behind the work of Lehigh University faculty member Sihong Xie. “Creating accountable machine learning is the ultimate goal of our research,” he says.

Rossin Connection Podcast: Karmel Shehadeh

As a kid growing up in Amman, Jordan, Karmel Shehadeh knew she wanted to one day be a professor and a researcher. Today, she is both. And at the end of her faculty profile, she includes an unusual line. It’s not a sentiment you typically come across in such writeups, but it’s targeted toward a special group of students. In this episode, you’ll find out why she makes a point of including that sentence not only in her profile, but in the acknowledgement section of her research papers.

Accelerating the pace of machine learning

Rick Blum, the Robert W. Wieseman Professor of Electrical and Computer Engineering at Lehigh University, seeks to bring efficiency to distributed learning techniques emerging as crucial to modern artificial intelligence (AI) and machine learning (ML).

Pages