Computer Science and Engineering

The CSE Department Office has moved to Mountaintop Building C, effective January 19, 2018. For information on our location and parking, click here.


Miaomiao ZhangRoberto Palmieri

As a result of the ongoing Data X Initiative, the CSE Department is pleased to welcome two new assistant professors in 2017-18, Miaomiao Zhang and Roberto Palmieri.

Dr. Zhang's research work focuses on developing novel models at the intersection of statistics, mathematics, and computer engineering in the field of medical and biological imaging. Before joining Lehigh University, Miaomiao completed her Ph.D. degree in the department of Computer Science at University of Utah under the supervision of Dr. Tom Fletcher. After that, she worked with Dr. Polina Golland as a postdoctoral associate at Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. She received the Young Scientist Award 2014 and was a runnerup for Young Scientist Award 2016.

Roberto Palmieri earned his Ph.D. in Computer Engineering from Sapienza University of Rome (Italy). After that, he was a post-doc at Sapienza University and subsequently at Virginia Tech. In 2014 he became a Research Assistant Professor in the Electrical and Computer Engineering department at Virginia Tech. He is interested in system research and distributed computation, spanning from theory to practice. Building fault-tolerant and high performance systems is one of his primary research goals, along with designing protocols for innovative synchronization patterns. Palmieri and his students have published more than 50 papers in the most recognized international conferences and journals of the area.



Computer Science and Engineering is at the core of the information age. To prepare our students for the tremendous opportunities in the field, the CSE Department is strongly committed to excellence in both education and research. We conduct ground-breaking work in artificial intelligence, bioinformatics, data mining, robotics, software security, computer networking, software systems, biomedical image processing, computer vision, mobile healthcare, and the WWW. Our faculty includes five NSF CAREER award winners, one of the most prestigious awards available to young researchers in CSE.

CSE is also deeply involved in Lehigh's Data X Strategic Initiative, including the development of new courses, new research directions, and an amazing new facility now under development on Lehigh's Mountaintop Campus. For more information on Data X, click here.

Lehigh undergraduates benefit from the personal attention typical of a small college, yet have exposure to state-of-the-art technologies available only at a research university. To provide flexibility, we offer a variety of different undergraduate degree programs, including B.S. degrees in the College of Engineering, and a B.S. and a B.A. degree in the College of Arts and Sciences. All of our B.S. programs are fully accredited. In addition, we offer a unique B.S. in Computer Science and Business which is accredited both in computer science and in business. Beyond their courses, students often work one-on-one with faculty, and can even become involved in their research projects. Internships provide real-world experience.

Our majors are designed to provide a strong foundation in the core areas of Computer Science and Engineering, from the hardware/software interface up through systems software, programming languages, software engineering, and the mathematical foundations of computing. Electives include topics in artificial intelligence, computer networking, parallel and distributed computing, security, robotics, bioinformatics, data mining, web and mobile application development, and databases. As a result, our graduates are in high demand, and are regularly recruited by many leading high tech companies.

Our vibrant graduate programs prepare students for positions in industry and academia. Our faculty have research funded by competitive sources including NSF, DARPA, NIH, and other federal and state agencies, as well as leading companies in the field.

For a list of major employers who have hired our graduates in the recent past, click here.

For a listing of planned CSE courses for Summer and Fall 2018, click here

New and special topic courses for Fall 2018:
  • CSE 297 BLOCKCHAIN ALGORITHMS & SYSTEMS, MW 11:10-12:25, Professor Hank Korth--Blockchain system concepts, cryptographic algorithms for blockchain security, distributed consensus algorithms for decentralized blockchain control, smart contracts, blockchain databases.
  • CSE 298 MOBILE APPS (ANDROID), MWF 1:10-2:00, Professor Eric Fouh Mbindi--This is a project-oriented course that explores the concepts and technologies pertaining to application development for mobile devices. This course uses Android as the platform. Topics covered include mobile software architecture, user interface design, graphics, multimedia, Location-aware software development, network-centric software development, software development for mobile device sensors (such as cameras, recorders, accelerometer, and gyroscope).
  • CSE 397 INTRO TO BIOMOLECULAR MODELING AND SIMULATION, MWF 11:10-12:25, Professor Wonpil Im--This course is designed to introduce the most basic and key concepts, methods, and tools used in biomolecular modeling and simulation. In particular, this class is a hybrid lecture/hands-on practice style using the lectures and tools in CHARMM-GUI ( Topics include (but not limited to) UNIX operating system, text editors, Python programming, scientific programming using Python, PDB (Protein Data Bank), molecular mechanics, minimization, molecular dynamics, Monte Carlo simulation. The understanding of these concepts and algorithms as well as their applications to well-defined practical examples involving currently important biological problems will be emphasized.
  • CSE 398/498 NATURAL LANGUAGE PROCESSING, MW 12:45-2:00, Professor Sihong Xie--Wondering how Google translates English into Chinese, how IBM Watson beat humans in Jeopardy and how Grammarly correct your essays? This course introduces you to natural language processing (NLP) that empowers many fascinating applications like the above. The course will study, in both depth and detail, the fundamental statistical models and their computational implementations in NLP. You will learn how to model texts on the level of word, sentence, and paragraph using tools such as trees, graphs, and automata.

    The following techniques will be covered:text normalization, language model, part-of-speech tagging, hidden Markov model, syntactic and dependency parsing, semantics and word sense, reference resolution, dialog agent, machine translation.

    Two class projects to design, implement and evaluate classic NLP models will enable the students to have hands-on NLP experience. Programming experience (CSE 17) and probability and statistics (MATH 231 or ECO 045) will be required. Credit will not be given for both CSE 398 and CSE 498.

  • CSE 398/498 DEEP LEARNING, TR 1:10-2:25, Professor Xiaolei Huang--In this course, we will learn the core principles behind neural networks and deep learning. We will start with simple neural networks with a handful of layers, and then move on to study deep neural networks with tens or even hundreds of layers. We will learn about and compare different neural network architectures including Convolutional Neural Networks, Generative Adversarial Networks, and Recurrent Neural Works. For applications, we will look at handwritten digit recognition, object recognition, computer-aided diagnosis, and natural language understanding. Prerequisites: For undergraduate students, CSE 109 and MATH 231; For graduate students, no prerequisite for CSE MS or PhD students; for all other students, permission by department/instructor required.

 Any issues or questions regarding registration, please contact This email address is being protected from spambots. You need JavaScript enabled to view it. .


Prospective students and their parents: if you're planning to visit Lehigh and have interests in Computer Science, Computer Science and Business, or Computer Engineering, please contact us at This email address is being protected from spambots. You need JavaScript enabled to view it. and we'll make sure you have a chance to meet with a faculty member to hear the details of our programs.

Prospective employers: demand for CSE graduates is extremely strong. Our students are aggressively recruited by many of the top companies in the US. If you wish to connect with CSE students at Lehigh, please contact us. We can help disseminate your recruiting materials, and we can also arrange for a room for you to present an overview session and meet with students during a campus visit. Send email to: This email address is being protected from spambots. You need JavaScript enabled to view it. .

New students often ask whether it is possible to take one of majors if they have had no programming experience in high school. Yes! Many of our majors first started their study of CSE at Lehigh with no previous background. We provide the appropriate introductory courses for students to succeed in CSE with or without past experience.

 Tapia Group 2016

Lehigh CSB student Bruke Mammo (left) and Professor of Practice Eric Fouh Mbindi (right) with Professor Richard Tapia of Rice University (center) at the 2016 ACM Richard Tapia Celebration of Diversity in Computing, Austin, TX.

© 2014-2016 Computer Science and Engineering, P.C. Rossin College of Engineering & Applied Science, Lehigh University, Bethlehem PA 18015.