International Technological University Located at
2711 N. 1st St., San Jose, CA.
Phone: 888-488-4968
Go to Top

Computer Science and Software Engineering Faculty

Cornel Pokorny, PhD : Department Chair

Cornel Pokorny, PhD

Department Chair

Email: cpokorny@itu.edu

Dr. Pokorny received his Doctorate in Computer Science from Technical University in Vienna, Austria. His research areas are: computer graphics, object oriented design and web programming. Dr. Pokorny’s interests include computer graphics, photorealistic rendering, graphical user interfaces, abstract algebra and cryptography.

Dr. Pokorny is Professor Emeritus of Computer Science at California Polytechnic State University, and is now Department Chair at International Technological University.
Before teaching at Cal Poly, he worked for 5 years as Assistant Professor at the Technical University in Vienna, spent one year in Mainland China in linguistic studies and worked for 3 years as a project manager in the German industry. There he developed one of the first Chinese Character Generators for an electronic ink jet printer.

Publications:
Computer Graphics, The Principles Behind the Art and Science, 1989.
Computer Graphics, An Object Oriented Approach to the Art and Science, May 1994
An outline font generator for Chinese Characters. Written in C++ on a X Window – Motif platform in UNIX. Presented at the Engineering Conference in Xian – China, 1995
Computer Graphics with WebGL – San Jose, 2013

Hann So : Assistant Department Chair

Hann So

Assistant Department Chair

Email: hso@itu.edu
Ming-Hwa Wang, PhD : Core Faculty

Ming-Hwa Wang, PhD

Core Faculty

Email: mhwang@itu.edu

Interest and experience in: Data Structures and Computer Algorithms, ComputerNetworks, Formal Languages and Compiler Constructions, Artificial Intelligence, Operating Systems, SoC Verification, Cloud Computing, Computer Graphics. Has programmed in a wide variety of languages including C, C++, Java, Perl, Python, Tcl/Tk, Erlang, SystemVerilog/OVM/DPI/Verilog/PLI/VPI, XML, HTML/CGI, OpenGL, Prolog, Lisp, Scheme, Smalltalk, Ada, Pascal and many others.

Richard Sun, PhD : Core Faculty

Richard Sun, PhD

Core Faculty

Email: rsun@itu.edu

Richard Y. Sun received his M.S. and Ph.D. degrees in both computer science from Northwestern University and the University of Illinois at Urbana-Champaign in 1989 and 1994, respectively. Ever since he obtained his Ph.D., he has been working in the algorithm design and software development for field-programmable gate-array (FPGA) place-and- route implementation tools for more than 20 years. The companies that he worked for include well-known FPGA companies such as Xilinx Inc. and Altera Corp., Lattice Semiconductor, a low-cost low-power FPGA vendor, and Tabula Inc., an innovative programmable logic device start-up. He currently holds an R&D Director position at Synopsys Inc., the leader in electronic design automation (EDA) and semiconductor intellectual property (IP).

Richard has published 13 technical papers in various prestigious journals and conference proceedings, including IEEE Transactions on Computer-Aided Design for Integrated Circuits and Systems, IEEE Design and Test of Computers, and Algorithmica. He also has 8 U.S. patents granted and 1 in application process. During his employment at Xilinx Inc., Richard was nominated for the Ross Freeman Award for technical innovation in both 2003 and 2004 and awarded for Design Software Division Employee Recognition Award for innovation in 2004.

Richard has been serving as a part-time teaching faculty member in the Department of Electrical Engineering at Santa Clara University, since 2007. The three courses he teaches are Physical Design in VLSI, High-Level Synthesis, and Semi-Custom Design using Programmable Logic Devices. They are all co-listed as part of the graduate-level curriculum in the Department of Computer Engineering at Santa Clara University. He is also teaching Computer Algorithms, Graph Algorithms and Applications at the graduate level in the Department of Computer Science at International Technological University.

Bhairav Mehta : Core Faculty

Bhairav Mehta

Core Faculty

Email: bmehta@itu.edu

Prof. Mehta in an experienced engineer and seasoned statistician with 11 years of professional experience in data analytics, operations and high tech / automotive industry. He had extensive education with Master degree in Industrial Engineering, Statistics along with Master of Business Administration (MBA) from Cornell University. He is passionate about statistics, quality, analytics and operations.

He also has an extensive industrial experience. He has worked for Ford Motor Company and Luminus Devices Inc as industrial statistician, Qualcomm Inc as senior yield engineer and now as the senior iPhone analyst engineer for Apple Inc. Prof. Mehta is also a certified quality engineer of ASQ (American Society for Quality).

Xiaoshu Qian, PhD : Core Faculty

Xiaoshu Qian, PhD

Core Faculty

Email: qxiaoshu@itu.edu

Dr. Xiaoshu Qian is core professor at ITU while working full-time as a group manager in the broadband wireless division of Intel. He previously served as Senior Verification Engineer at Silicon Magic Corporation. Dr. Qian has been working on algorithm development, hardware, software, and firmware implementation in the area of signal and data processing over the last 19 years. He has authored or co-authored five journal papers, five conference papers, and owns five patents. He has taught more than a dozen courses in computer networks, wireless communications, DSP, and hardware/software design to Silicon Valley engineers and graduate students at Santa Clara University. He has also developed training courses for Intel University.

Dr. Qian received his Bachelors degree in physics from Zhejiang University in China, and Masters degrees in computer science and doctorate in electrical engineering from University of Rhode Island.

Richard Riehle, PhD : Adjunct Faculty

Richard Riehle, PhD

Adjunct Faculty

Email: rriehle@itu.edu

Dr. Richard D. Riehle is a professor at ITU and a visiting professor at Naval Postgraduate School. He has been creating and managing software activities since the early 1960’s. His software engineering experience spans both military and civilian applications. In the military realm, he has been an active participant on some projects (command and control, etc.), and a shirt-sleeves consultant on others. Civilian software experience spans the full range of commercial enterprises: hospital information systems, banking, insurance, wholesale distribution, and medical billing, to name a few. Beginning in the late 1980’s, Dr. Riehle’s focus turned to software consulting and training. As a trainer, he conducted courses of his own design in Ada, C++, software methods, and object-oriented development.

He received a Bachelor’s degree from Brigham Young University and a MSSE from National University. He also earned a doctorate in software Engineering from Naval Postgraduate School.

Arijit Das : Adjunct Faculty

Arijit Das

Adjunct Faculty

Email: adas@itu.edu

Arijit Das is involved in computer science teaching, database technologies (Oracle Relational Model and HDFS), web projects (Android, HTML5, JavaScript, AJAX) and securing server systems . He uses mostly Java (JDBC, Servlets) for programming.

He has a MS degree in Computer Science from Oregon State University.

Patricia Hoffman, PhD : Adjunct Faculty

Patricia Hoffman, PhD

Adjunct Faculty

Email: thoffman@itu.edu

Patricia Hoffman, PhD is a consultant concentrating in Machine Learning and Data Mining Technologies. She has over 25 years in Modeling and Simulation. Her software development experience ranges from modeling stochastic partial differential equations to image processing. She has taught a wide variety of Mathematics courses at the University of California Santa Cruz in Santa Cruz and has also taught Machine Learning and Data Mining courses at the University of California Santa Cruz – Silicon Valley Campus.

She was the Association of Computing Machinery Chair of the Data Mining Special Interest Group for the San Francisco Bay Area for five years organizing monthly lectures and five Data Mining conferences with over 350 participants.

Publications

  • Machine Learning in Action Published by Manning - technical editor
  • Scala for Machine Learning, published by Packt – technical editor
  • A unified view on the rotational symmetry of equilibria of nematic polymers, dipolar nematic polymers and polymers in higher dimensional space, Communications in Mathematical Sciences 6, 949-974
  • A Distributed Architecture for the C3 I (Command, Control, Communications, and Intelligence) Collection Management Expert System, joint with Allen Rude, AIC Lockheed
  • Book Review of Computer-Supported Cooperative Work, ACM/SIGCHI Bulletin, Volume 21, Issue 2, Pages 125-128 ISSN:0736-6906, 1989
Leandro Loss, PhD : Adjunct Faculty

Leandro Loss, PhD

Adjunct Faculty

Email: lloss@itu.edu

Leandro Loss completed his Ph.D. in Computer Science in May 2009 at the University of Nevada, Reno, and spent two years as a postdoctoral researcher at Lawrence Berkeley National Laboratory (LBNL). After working at Nokia for 3 years, he joined Nodeprime Inc. in San Francisco, where he is currently a senior data scientist and designs big data analytic frameworks. His research and work experience has been focused in computer vision and machine learning, with special application in life sciences and cloud infra-structure. He has been teaching at ITU since January 2014.

Soly Paterson : Adjunct Faculty

Soly Paterson

Adjunct Faculty

Email: spaterson@itu.edu

Soly Paterson has over 13 years of business experience. In addition to her manufacturing experience, Soly has taught business and engineering subjects at yah graduate level. As Quality Systems Engineer, Training Coordinator and Project Manager in Silicon Valley companies in aerospace, medical device, SSD/ flash memory and other industries.

She has led, implemented and maintained process improvement initiatives. Soly has traveled extensively internationally (41 countries) and the United States (30 states). She has a Masters of Business Administration, Bachelor of Science Industrial Technology from San Jose State University and a Certificate of Project Management from UC Santa Cruz.

Tony Nguyen, MS : Adjunct Faculty

Tony Nguyen, MS

Adjunct Faculty

Email: tnguyen@itu.edu
Srinivasan Mandyam, PhD : Adjunct Faculty

Srinivasan Mandyam, PhD

Adjunct Faculty

Email: msrinivasan@itu.edu
Alex Wu, PhD : Adjunct Faculty

Alex Wu, PhD

Adjunct Faculty

Email: awu@itu.edu
Daqi Ren, PhD : Adjunct Faculty

Daqi Ren, PhD

Adjunct Faculty

Email: dren@itu.edu

Dr. Da-Qi Ren has more than 14 years of experience in industry. His research focuses on data intensive computing, big data analytics, parallel and distributed processing, and HPC software design and optimization. Dr. Ren owns 11 patents, and has written more than 60 scientific publications. He received his PhD from McGill University and was a postdoctoral researcher at the University of Tokyo.

Dongming Liang, PhD : Adjunct Faculty

Dongming Liang, PhD

Adjunct Faculty

Email: dliang@itu.edu
Qamar Asghar : Adjunct Faculty

Qamar Asghar

Adjunct Faculty

Email: qasghar@itu.edu
Victor Yu : Adjunct Faculty

Victor Yu

Adjunct Faculty

Email: vyu@itu.edu
Fang Yuan, PhD : Adjunct Faculty

Fang Yuan, PhD

Adjunct Faculty

Email: fyuan@itu.edu
Yurong Xu, PhD : Adjunct Faculty

Yurong Xu, PhD

Adjunct Faculty

Email: yxu@itu.edu
Ahmed Ezzat, PhD : Adjunct Faculty

Ahmed Ezzat, PhD

Adjunct Faculty

Email: aezzat@itu.edu

Dr. Ezzat has a long history of accomplishment in the technology/industry as well as in University Academia. Dr. Ezzat has been an Adjunct Professor, Computer Science Department at Santa Clara University teaching graduate-level courses for the last 20+ years as well as at the Computer Science Department at San Jose State University teaching undergraduate-level courses for the last 2+ years. Dr. Ezzat believes that teaching is very rewarding profession as the reward can be very visible when you see your students excel and progress in their career.

In addition, Dr. Ezzat held senior executive positions for the last 15+ years including VP, Data Infrastructure at eBay, VP and Fellow at Yahoo!, Chief Technology and Fellow at HP Cloud Division, and Sr. VP Engineering and CTO in two technology start-ups (Velosel, Manage.com). Earlier at Oracle (Sr. Director & Architect), he architected and implemented the Oracle buffer cache to deal with SMP scalability and to provide better buffer management support to SQL runtime. This work resulted in providing unparalleled SMP scalability in the database market. Dr. Ezzat invented the LLRU algorithm (patent and an award) that was used in Oracle 7.3. Earlier at Cray Research (Section Manager & Architect), he led the NUMA T3D OS section. He has a patent on support multiple virtual page size to optimize performance in massive parallel processing NUMA platform. He delivered the T3D OS solution; T3D was one of the early commercial MPP NUMA platforms in the industry. After completing his Ph.D., he worked at Bell Labs Research (Member of Technical Staff), and won Arno Penzias (Head of Bell Labs Research and a Nobel Prize winner) award for his NEST (NEtworked workSTation) contributions. NEST supported unique model for processor sharing while maintaining autonomy and privacy; NEST was used internally at Bell Labs Research.

Dr. Ezzat has many publications, patents, inventions that are recognized at the industry-level, technology awards, and has chaired sessions in technical conferences. Dr. Ezzat received his Ph.D. in Computer Science, University of New Hampshire.

Jagadeesh Vasudevamurthy, PhD : Adjunct Faculty

Jagadeesh Vasudevamurthy, PhD

Adjunct Faculty

Email: jvasudevamurthy@itu.edu

Jagadeesh Vasudevamurthy is a professor at EECE Department of ITU. He is a full-time software engineer in the area of electronic design automation (EDA), He has worked in the area of EDA for the last 30 years. He has written software at Cadence, Synplicity (Now Synopsys), Mentor graphics and Xilinx.

Jagadeesh Vasudevamurthy received B.Eng. degree (Electronics and communication) with first class with distinction from National Institute of Engineering, Mysore, India, an M.Tech degree (Computer Engineering) from Indian Institute of Technology Kharagpur, India and a Ph.D. degree (Computer Engineering) from McGill University, Montreal, Canada. His Ph.D. thesis got IEEE transaction on CAD best paper of award and also published as The Best of ICCAD: 20 Years of Excellence in Computer-Aided Design. His Ph.D. thesis is used as a fundamental decomposition and factorization algorithms in all the commercial and academic logic synthesis systems.

Dr. Vasudevamurthy is a senior member of IEEE and a member of ACM. He has also worked as a director of Engineering at Synplicity and Mentor Graphics. His passion is to write code and teach. He has trained thousands of students in the area of data structures, algorithms, digital design, FPGA, C++, Java and Verilog for the last 10 years through University of Santa Cruz (UCSC) at Silicon Valley.

Dick Liu, PhD : Adjunct Faculty

Dick Liu, PhD

Adjunct Faculty

Email: dliu@itu.edu

Dick Liu received a M.S. in Computer Science from Pennsylvania State University and a Ph.D. in EE (Computer Systems Research Lab) from Stanford University.

He has extensive industrial experience with start-up companies and Fortune 500 corporations both as a technologist and executive management. He was with Synopsys Inc. (Smart, Secure Everything - from Silicon to Software) for 14 years. While at Synopsys, among various RD projects, he was also responsible for the security assessment and security setup at Shanghai RD center. He established a database security process for customer data protection. And he contributed vastly to improve RD teams' software development processes, testing effectiveness and security awareness.

His interests include: protecting cyber security, developing robust software products, and researching innovative computing technologies. He has received 10 US patents and published numerous technical papers.

Last modified: June 15, 2015