Santa Clara University

About Us
 
Courses taught:
COEN 239, 320, 350; AMTH 210, 211, 377

Nirdosh Bhatnagar, Ph.D.

Adjunct Faculty

Nirdosh Bhatnagar has worked in both the computer communication and computer systems industries in Silicon Valley. He earned his M.S. in operations research, and M.S. and Ph.D. in electrical engineering form Stanford University, California. He has been on the adjunct faculty of Santa Clara University, Santa Clara in the departments of applied mathematics and computer engineering since 2002.

 
 
Courses taught:
COEN 351

Rafae Bhatti, Ph.D.

Adjunct Faculty

Dr. Bhatti received his PhD in Computer Engineering from Purdue University in 2006. He has been an adjunct faculty of Computer Engineering department at Santa Clara University since 2010. His research focuses on information systems security and privacy. He has published extensively in reputed conferences and journals, and has recently published a book. His doctoral work has been cited by the OASIS industry consortium involved in the development of security standards such as RBAC and SAML. Among several local and national honors, Dr. Bhatti has been recognized by the US government in the prestigious category of “Individuals with Advanced Degree and Exceptional Ability in the National Interest”. He has previously worked as a postdoc at IBM Almaden Research Center where he pioneered solutions for healthcare security and privacy. Dr. Bhatti currently works at Oracle where he is engaged in research and development.

 
 
Courses taught:
COEN 234

Alexander Clemm, Ph.D.

Adjunct Faculty

Dr. Alexander Clemm is a senior architect with Cisco, where he is currently responsible for the architectural direction of embedded management (management interfaces, embedded intelligence, instrumentation tooling) for Cisco IOS devices. He has been involved with integrated management of networked systems and services since 1990. He has provided technical leadership for many leading-edge network management development, architecture, and engineering efforts from original conception to delivery to the customer. On the academic side, Alex is on the committees of the most relevant management-related conferences; he served as as technical program co-chair of IM 2005 and as general co-chair of Manweek 2007 and DSOM 2007. He has authored or co-authored more than 30 papers, filed more than 20 patents, and is author of the CiscoPress book "Network Management Fundamentals". Alex holds a Ph.D. from the University of Munich, Germany, and a M.S. from Stanford University.

 
 
Courses taught:
COEN 129, 296

Joshua Conner

Adjunct Faculty

Joshua Conner has been creating development tools for embedded systems for the last 15 years.  He was an original member of the Apple iPhone development team, and was responsible for the compiler used on the first three revisions of the iPhone hardware.  Currently, Joshua is working on tools for a high-performance embedded NVIDIA Tegra processor, while teaching at SCU.  Joshua studied Artificial Intelligence and Compiler Development at the University of Wisconsin - Madison while obtaining his Master's degree.  He holds several patents related to microprocessor design.

 
 
Courses taught:
COEN 226, 253, 386

Rance DeLong

Rance J. DeLong has more than 35 years of software development experience, with a focus on security and high-assurance systems. Mr. DeLong is a member of the Center for the Advanced Study and Practice of Information Assurance at Santa Clara University, where he teaches graduate courses including Secure Systems Development and Evaluation I & II, Certification and Accreditation, Software Architecture, and Principles of Programming Languages. He is currently the lead scientist for the development and assurance of a high-assurance separation kernel. Mr DeLong?s current research activities include methods and tools for high-assurance secure systems development, compositional system construction and certification, the MILS architectural approach, and a knowledge-based system for the development of security specifications. He serves on the advisory group for the DARPA CRASH program and on the ISO SC27 Working Group 3. Mr. DeLong holds a B.S. in Physics and a B.A. in Philosophy from Moravian College, and has done extensive post-graduate study in computer science at Lehigh University and Stanford University.

 
 
Courses taught:
COEN 235, 236

Ahmed K. Ezzat, Ph.D.

Adjunct Faculty

Ahmed Ezzat is currently at Hewlett-Packard, where he is an HP Fellow. He has extensive experience in research and product development at the architecture and management levels. He has lead strategic initiatives in Business Intelligence, Information Management, unstructured data processing, and analytics. Recently, he developed a Homomorphic encryption algorithm suitable for processing relational algebra on the SQL encrypted data.  Prior to HP, Professor Ezzat was CTO at both Velosel and Manage.com.  He has been an adjuct professor in the Computer Engineering Department at SCU for the last 20 years.  He holds a Ph.D. in Computer Science from the University of New Hampshire.

 

 
 
Courses taught:
COEN 286

Alka Jarvis

Adjunct Faculty

Alka has authored five books in software quality and quality management standards. She has been a frequent invited speaker on quality assurance seminars at international as well as domestic events. Jarvis is a recipient of Silicon Valley’s Corporate Women of the Year Award. She is the Chair of the technical committee representing U.S. interests in the development and maintenance of ISO 9000 family of Standards and is a certified lead auditor of quality systems with RAB-QSA. Alka is also an instructor for the software quality courses at U.C. Santa Cruz – ext., U.C. Berkeley and University of Texas, Austin.

 
 
Courses taught:
COEN 148, 290

David Kao, Ph.D.

Adjunct Faculty

David Kao is a researcher at NASA Ames Research Center. He has led several innovative software projects at NASA. He served as an Associate Editor for IEEE Transactions on Visualization and Computer Graphics (2003-2007) and has been a member of the program committee on several international conferences on scientific visualization and information visualization. Dr. Kao’s fields of interest include computer graphics, scientific visualization, information visualization, and numerical flow visualization. He received his Ph.D. from Arizona State University in Computer Science.

 
 
Courses taught:
COEN 329, 331, 332, 335

Keyvan Moataghed, Ph.D.

Adjunct Faculty

Dr. Keyvan Moataghed has a Ph.D. in Telecommunications from Technical University of Graz in Austria. He holds patents in Voice and quality of service in packet switched networks. He has been the manager and technical lead at MCI World Com, British Telecom, and Cisco Systems. His research interests include high performance networks, Broadband communications, and wireless multimedia networks. He is a member of the ACM and IEEE organizations.

 
 
Courses taught:
COEN 315, 337

Mike Parsa, Ph.D.

Adjunct Faculty

Areas of expertise: Networking; wireless; multimedia; operating systems

 
 
Courses taught:
COEN 281

Giovanni Seni, Ph.D.

Adjunct Faculty

Giovanni Seni is an active data mining practitioner in Silicon Valley; he has over 15 years R&D experience in statistical pattern recognition, data mining, and human-computer interaction applications. He has been a member of the technical staff at large technology companies, and a contributor at smaller organizations. He holds five US patents and has published over twenty conference and journal articles

Giovanni received a B.S. in Computer Engineering from Universidad de Los Andes (Bogotá, Colombia) in 1989, and a Ph.D. in Computer Science from State University of New York at Buffalo (SUNY Buffalo) in 1995, where he studied on a Fulbright scholarship. He also holds a certificate in Data Mining and Applications from the Department of Statistics at Stanford University. His book, Ensemble Methods in Data Mining: Improving accuracy through combining predictions, was published in February 2010 by Morgan & Claypool.

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Courses taught:
COEN 233, 283

Ming-Hwa Wang, Ph.D.

Adjunct Faculty

Ming-Hwa Wang received his Ph.D. in Computer Science with an emphasis in Distributed Compilers from the Illinois Institute of Technology, Chicago, Illinois, and his M.S. in Printing Technology from the Rochester Institute of Technology. He has working experience in software design, tools development, hardware cad/verification flow automation, etc., and has worked in engineering and/or managerial roles in Silicon Valley since January 1992.  His areas of expertise include compiler construction, data structures and computer algorithms, artificial intelligence, and computer networks.

 
 
Courses taught:
COEN 218, 307, 313

Amr Zaky, Ph.D.

Adjunct Faculty

Areas of expertise: Computer architecture

 
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