David Bowen, Ph.D. Professor

David Bowen earned his B.S., M.S., and Ph.D. degrees in Industrial Engineering and Operations Research from UC Berkeley, where he also served on the faculty as a lecturer and research engineer and conducted research as part of the Competitive Semiconductor Manufacturing Program. In addition he has taught Graduate business courses at the University of San Francisco and St. Mary's College of Moraga.

Prior to starting his own consulting firm (BOPTIMAL), David was the corporate-wide Education and Training Manager for TEFEN Ltd., a worldwide Industrial Engineering consulting firm. His previous consulting experience includes projects for State and Federal government agencies as well as private industry. His international experience includes consulting in Asia, conducting research in Asia and Europe, and teaching in Africa as a US Peace Corps Volunteer. Dr. Bowen is an experienced educator, researcher, manager and consultant in the following areas: Creating, training and Facilitating improvement teams, Capacity modeling, Cycle-time reduction, Overall Equipment Effectiveness, Human Factors Engineering, Engineering economy and Process Reengineering.

Saeid Motavalli, Ph.D. P.E., Professor and Chair

Dr. Saeid Motavalli has extensive industrial and academic experience. Before joining NIU he served as a senior engineer in Biomechanics Corporation of America; an assistant professor at Wichita State University, and an associate professor at Northern Illinois University. Dr. Motavalli's area of research is manufacturing systems. In particular he is interested in problems related to process flow analysis, facilities planning, workplace design/ergonomics, and manufacturing measurement. He has worked on federally funded research by various federal agencies such as NSF and FAA. He has also received funding from industrial sources such as Caterpillar, Motorola, NICOR Gas, Cessna Aircraft, and several smaller manufacturing companies. The projects involved process flow analysis, production planning and control, facilities planning, CAD modeling, and ergonomics. His teaching interest is in the areas of, computer aided manufacturing, production planning and control, facilities planning, and manufacturing measurement.

Helen Y. Zong, Ph.D. P.E., Professor

Dr. Zong has many years of experience in higher education and manufacturing industries. Before joining CSUH, Dr. Zong had served as an associate professor at St. Cloud State University, an assistant professor at Jianghan Petroleum Institute and a mechanical engineer in China. During her professional career, Dr. Zong has worked on many research and consulting projects with industries, such as UPS, Fingerhut, Caterpillar, KOMO Machines, Blow Molded Specialist, etc. Dr. Zong's professional specialties include manufacturing processes and improvements, manufacturing system simulations, facilities planning and designs, material handling system design, quality assurance and design of experiments, production planning and control systems, production sequence and scheduling, expert system development, computer-integrated manufacturing, and operations research. Dr. Zong's teaching interests are in the areas of manufacturing system simulations, production planning and control, facilities planning and designs, quality assurance, and engineering economy.

Farnaz Ganjeizadeh , Ph.D. Professor

Farnaz Ganjeizadeh completed her Ph.D., in Industrial and Systems Engineering from the University of Alabama in Huntsville. She earned her M.S. in Engineering Administration and B.S. in Industrial Engineering and Operations Research from Syracuse University. Her research interests are in the areas the application of simulation output analysis and manufacturing processes improvement.

Prior to joining CSUH Dr. Ganjeizadeh served as a part time faculty in San Jose State University, where she designed and taught a graduate course in Engineering Analysis. Additionally, she has taught several courses in Industrial Engineering and was a major contributor in several government funded research projects with NASA/MSFC, GenCorp Aerojet, Chrysler and NSF at the university of Alabama in Huntsville.

Dr. Ganjeizadeh has an extensive background in Semiconductor Manufacturing Equipment Industry. She served as a member of technical staff and manufacturing engineering manager in Applied Materials. Her experience includes designing an inductive model deployed for conducting multi-criteria decision-making and cost analysis at system level. Additionally, Dr. Ganjeizadeh's specialties are in the areas of strategic planning, new product introduction, simulation output analysis and applied operations research, quality assurance and product cost management.

Dr. Ganjeizadeh's teaching interests are in the areas of simulation output analysis, quality and cost management, electronics manufacturing and applied operations research.

Cristian Gaedicke, Ph.D. P.E. Assistant Professor

Dr. Cristian Gaedicke earned a Ph.D. in Civil Engineering from University of Illinois at Urbana-Champaign in 2009 and is a Licensed Professional Engineer in the State of Texas since 2011. His research interests are sustainable construction materials, infrastructure, construction engineering, and engineering education.

Dr. Gaedicke has extensive background in sustainable construction materials, airfield pavements, and transportation infrastructure. He has worked on federally and state funded research by various agencies such as the Federal Aviation Administration, Chicago O’Hare Airport Modernization Plan, and Texas Department of Transportation. Dr. Gaedicke is a member of the American Concrete Institute (ACI) and the Society of Hispanic Professional Engineers (SHPE).

Reza Akhavian, Ph.D. Assistant Professor

Dr. Akhavian received his Ph.D. (2015) and M.S. (2012) degrees in Civil Engineering (Construction Engineering and Management) from the University of Central Florida. He also holds a B.S. (2010) degree in Civil Engineering from the University of Tehran, Iran. His research focuses on the integrated solutions for technology-based decision-making in the architecture, engineering, construction, and facility management (AEC/FM) industry. In particular, he has research interests in design and development of methodologies using data-driven modeling and simulation, automation and robotics, wearable systems, machine learning, and process mining for (1) planning and monitoring infrastructure construction, (2) project management, and (3) building smart and sustainable cities. His professional experience includes working for Bentley Systems, Inc. and he is a member of the American Society of Civil Engineers (ASCE).

Howard Lei, Ph.D. Assistant Professor

Dr. Howard Lei completed his Ph.D. in Electrical Engineering and Computer Science at UC Berkeley in 2010, with an emphasis on applied machine learning and statistical signal processing." He is involved in teaching a variety of courses in computer software and hardware systems. He has also revamped curricula to introduce students to state-of-the-art computer hardware technology, in order to better align student learning with the demands that computer engineers face in today’s industry. Dr. Lei has been involved in program assessment to ensure that computer engineering students meet the ABET student learning outcomes, and has also been engaged in a project that facilitates community college students’ transferring to engineering programs at different universities. Dr. Lei's research interests lie in the area of machine learning and applied statistics. He has been involved in projects including the prediction of medication demands for disease outbreaks, speech signal processing, and multimedia analysis and classification. Prior to joining the university, Dr. Lei was a postdoctoral researcher at the International Computer Science Institute, a non-profit organization affiliated with the University of California at Berkeley.

Farzad. Shahbodaghlou, Ph.D. Associate Professor

Professor Farzad Shahbodaghlou has over 25 years of experience as an academician, practitioner and consultant in the construction industry. He holds masters and PhD degrees from Purdue University. He is the founding director of the Construction Management Program at California State University East Bay. He is also the president of PIC (Process Improvement Consulting), offering the industry consulting services. His area of specialty is process improvement in the field of construction. Prior to CSUEB, he was a tenured associate professor at Bradley University, where he received the Outstanding Faculty Award in 1996 from the Department of Civil Engineering and Construction. Following his tenure at Bradley, he moved to the industry and was with DPR construction, Inc. until 2002. After six years of full time consulting and part time instruction at San Jose State University, he arrived at CSUEB’s School of Engineering to start the Construction Management Program. He considers growing the construction management program from 6 students in 2009 to over two hundred students in 2015 his greatest accomplishment to date.

James Tandon, Ph.D., Assistant Professor

James Tandon joined CSU East Bay in Fall of 2015. He has industrial experience in VLSI architecture design, VLSI CAD software design, embedded systems design, and user interface design at Microsemi SoC, Intuitive Surgical, and Mentor Graphics. He also worked as a postdoctoral researcher at the University of Tokyo. His research interests today include stochastic data converter design techniques for time-to-digital and analog-to-digital converters, timing algorithms for interconnection networks, and power optimization methods of multicore multiprocessor architectures. He has been involved in the design of several custom integrated circuits. A sample of these include a stochastic, equivalent-time sampling analog to digital converter for SERDES signal analysis, a stochastic time-to-digital converter with tunable resolution and down to 183fs resolution, and a prototype processor for a power optimizing multicore, multiprocessor platform. He has implemented several computer aided design algorithms for analysis of VLSI systems as well.

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