Sangwhan Cha, Ph.D.
Assistant Professor of Computer Science
Email

Phone Number:

717-901-5100 x1670

Education:

Ph.D. in Computer Science, University of New Brunswick Fredericton, NB, Canada.
M. Sc. in Software Engineering, Korea University Seoul, Korea.
B. Sc. in Computer Science, University of New Brunswick Fredericton, NB, Canada.

Biography:

Dr. Sangwhan Cha received a B.Sc. and Ph.D. in Computer Science from the University of New Brunswick, Fredericton, NB, Canada in 2000 and 2012 respectively and the Master's Degree in software engineering from Korea University, Seoul, Korea in 2007. He was a postdoctoral research fellow in Big Data Analytics and Health Informatics Lab at the University of New Brunswick and Dalhousie University.

Teaching and Research Interests:

Dr. Cha's teaching interests include Big Data Architecture, Data Structures, and Algorithms. He received various National Science and Engineering Research Council of Canada (NSERC) grants. He was a senior software engineer and a member of the advisory committee at various ICT companies. His current research interests include Big Data Analytics, Parallel Distributed Systems, Fog/Cloud computing, the Internet of Things (IoT), Graph Processing, Mobile Computing and Health informatics.

Dr. Cha has been actively participating in professional activities. He has served on the Technical Program Committee for various international conferences including IEEE ICCSIT 2011 and IEEE Big Data Congress 2015. He is also a member of Simulated Reality Community Working Group. He has published many papers in international conferences and scientific journals. Dr. Cha is currently an Assistant Professor of Computer Science at Harrisburg University of Science and Technology.

You can find his publications at https://andwine.github.io/papers/index.html.

Courses Taught at HU:

  • CISC 525 Big Data Architectures
  • CISC 610 Data Structures and Algorithms
  • CISC 699 Applied Project
Steve Hernandez, Ph.D.
Corporate Faculty
Email

Education:

Ph.D. in Computer Science, Nova Southeastern University, Fort Lauderdale, FL, USA.
M.S. in Computer Science, Nova Southeastern University, Fort Lauderdale, FL, USA.
B.S. in Computer Science, Nova Southeastern University, Fort Lauderdale, FL, USA.

Biography:

Dr. Steve O. Hernandez has amassed over 15 years of industry and research experience in a variety of roles. They include Systems Administrator, Software Engineer, Chief Researcher, Chief Information Officer (CIO), and Chief Technical Consultant serving a variety of industries and organizations, including startups, non-profits, government and military organizations, higher education institutions, and Fortune 500 companies.

Teaching and Research Interests:

Dr. Hernandez's research interests include Artificial Intelligence, Big Data, Adaptive Systems, Benchmarking, and System Analysis.

Courses Taught at HU:

Theory of Computation

Khaled Iskandarani
Lecturer, Biostatistics & Computational Science
Email
Ron Jones
Lecturer in Cybersecurity
Email

Phone Number:

717-901-5100 x1650

Education:

M.Sc. In Digital Forensics, University of Central Florida, Orlando, FL, USA.
B.Sc. In Electrical Engineering, Digital Design, University of Florida, Gainesville, FL, USA.

Biography:

Ron Jones has 40 plus years in Information Technology and Data Security Professional with extensive experience in building, managing and securing information environments. He has focused on converting business requirements into value-add Cybersecurity Solutions and has effectively delivered cybersecurity and information assurance solutions to Fortune 500 companies, start-up companies, and federal and state government organizations. His specialties are in the areas of Information Security, Cybersecurity, Data Security Standards, Information Assurance, Data Privacy, Data Networks, and Computer Forensics.

Teaching and Research Interests:

Ron Jones' research area focuses on the development of “Cyber AI Surrogates (CAS)” that are autonomous agents or embedded agents within a security asset, such as an IPS. The CAS architecture focuses on developing a CAS agent that expands its resources by coupling with a Cloud environment – and expand further by utilizing cloud bursting.

Courses Taught at HU:

CISC Cybersecurity Concentration

Chintan Kanadia
Computer Science Instructor
Email

Phone Number:

717-901-5100 x1644

Education:

M.Tech. in Computer Engineering, Dharmsinh Desai University, Nadiad, India.
B.E. in Computer Engineering, Dharmsinh Desai University, Nadiad, India.

Biography:

Chintan Kanadia is a creative and passionate Computer Science Instructor dedicated to fostering a student-centered classroom environment based on mutual respect and collaboration. He is a research-oriented academician with over 8 years of experience in a reputed university. He has a strong commitment to helping students identify and develop their own passions while in a successful professional career.

Chintan Kanadia started his bachelor study in August 2003 in one of India’s reputed engineering college. During his time at Dharmsinh Desai University, as a Computer Engineering student, he participated in various projects such as Tech Fests, Poster Presentations, and Website Development for various events. During his bachelor’s degree, he actively participated in social events such as blood donation camps and computer literacy in rural areas. After completing his project training at Adani Retail Ltd, Chintan Kanadia received a degree with First Class Honors then went on to work as a consultant in Web development training.

The selection at Dharmsinh Desai University as a Lecturer (July 2008) was a breakthrough in his career where he started teaching various subjects in Computer Science and Engineering to undergraduate students. In the Yearly Tech Fest ‘Felicific’, he gained experience working as a coordinator and managed technical events. He has also guided over 50 projects and implemented 4 projects.

In March 2010, Chintan Kanadia successfully cleared GATE (Graduate Aptitude Test in Engineering) – a national level technical exam with 93 percentile. As a result, the university decided to sponsor him for a Master’s Degree. He has conducted a full-time job and extensive research in the field of Cloud Computing where he gained a Masters of Technology in Computer Engineering degree with 7.4 CPI (First Class with Distinctions) on May 12, 2013. In summer of 2014, Chintan Kanadia worked as Presiding Officer in “Lok Sabha Election”, the world's largest election for ECI, for the Government of India.

Teaching and Research Interests:

Cloud Computing and Infrastructure as a Service (IaaS) building, DevOps, and Cyber Security.

Courses Taught at HU:

Computer Science
Information Science

Ying Lin, Ph.D.
Corporate Faculty
Email
Luis Paris, Ph.D.
Associate Professor of Computer Science
Email

Dr. Paris received his Ph.D. in engineering science with an emphasis in computer science at the University of Mississippi in April 2005. He also holds a master’s degree in computer science and a bachelor’s degree in electronics engineering. A charter faculty member at Harrisburg University, Dr. Paris is co-responsible for coordinating the bachelor’s and master’s degree programs and certificate programs in CIS. He brings valuable experience from the academia where he previously succeeded as an instructor for an electrical engineering program and later as a research assistant for a CIS program He also brings insight and knowledge from both the software and hardware industries where he worked as an electronics engineer and software developer.

Meikang Qiu, Ph.D.
Professor of Computer and Information Science
Email

Meikang Qiu received the BE and ME degrees from Shanghai Jiao Tong University and received Ph.D. degree of Computer Science from University of Texas at Dallas. Currently, he is a Full Professor of Computer and Information Science Department. He is an IEEE Senior member and ACM Senior member. He is the Chair of IEEE Smart Computing Technical Committee. His research interests include Cyber Security, Big Data Analysis, Cloud Computing, Smarting Computing, Intelligent Data, Embedded systems, IoT, etc. A lot of novel results have been produced and most of them have already been reported to research community through high-quality journal and conference papers.

He has published 4 text books, 400+ peer-reviewed journal and conference papers (including 200+ journal articles, 200+ conference papers, 70+ IEEE/ACM Transactions papers). His paper published in IEEE Transactions on Computers about privacy protection for smart phones has been selected as a Highly Cited Paper in 2017. His paper about embedded system security published in Journal of Computer and System Science (Elsevier) have been recognized as Highly Cited Papers in both 2016 and 2017. His paper about data allocation for hybrid memory has been published in IEEE Transactions on Computers has been selected as hot paper (1 in 1000 papers) in 2017. His paper on Tele-health system has won IEEE System Journal 2018 Best Paper Award. He also won ACM Transactions on Design Automation of Electrical Systems (TODAES) 2011 Best Paper Award. He has won another 10+ Conference Best Paper Awards in recent years.

Currently he is an editor of 10+ international journals, including IEEE Transactions on Computers and IEEE Transactions on Cloud Computing. He has served as leading guest editor for IEEE Transactions on Dependable and Secure Computing (TDSC), special issue on Social Network Security. He is the General Chair/Program Chair of a dozen of IEEE/ACM international conferences, such as IEEE TrustCom, IEEE BigDataSecurity, IEEE CSCloud, and IEEE HPCC. He has won Navy Summer Faculty Award in 2012 and Air Force Summer Faculty Award in 2009. His research is supported by US government such as NSF, NSA, Air Force, Navy and companies such as GE, Nokia, TCL, and Cavium.


Education

 Ph.D.
 Computer Science
 University of Texas at Dallas 
 M.S.
 Computer Science
 University of Texas at Dallas
 M.E.
 Engineering
 Shanghai Jiao Tong University
 B.E.
 Engineering
 Shanghai Jiao Tong University

Research Interests

  • Cyber Security and Privacy
  • Machine Learning/Deep Reinforcement Learning
  • Big Data and Data Analytic
  • Cloud Computing/Edge Computing
  • IoT and Cyber Physical Systems
  • Smart Computing
  • Telehealth System
  • Embedded Systems and Mobile Systems
  • Smart Grid and Real-Time Monitoring
  • Hardware/Software Codesign
  • Parallel and Multi-Core Computing
  • Heterogeneous Sensor Network
  • Mobile Interface Browsing
  • Low Energy Design

Teaching Experience

  • Mobile App Development with Android
  • Reinforcement Learning
  • Cloud Computing
  • Computer and Cyber Security
  • System Software and Operating Systems
  • Embedded Systems
  • Optimization of Embedded Computing Systems
  • Microcomputer Systems Design
Abrar Qureshi, Ph.D.
Professor of Computer Science & Software Engineering
Email
Majid Shaalan, Ph.D.
Professor of Computer Science & Program Lead for the Computer Science Graduate Program
Email

Phone Number:

717-901-5100 x5116

Education:

Ph.D. in Computer Science, University of Baghdad, Informatics Institute for Graduate Studies, Baghdad, Iraq.
M.Sc. in Computer Science, University of Baghdad, College of Sciences, Department of Computer Science, Baghdad, Iraq.
B.Sc. Mathematics, University of Al-Mustansryah, College of Sciences, Department of Mathematics, Baghdad, Iraq.

Biography

Majid A. Shaalan PhD. is the director of Computer and Information Sciences Program at Harrisburg University of Science and Technology teaches undergraduate and graduate courses in Artificial Intelligence and Computational Sciences. Majid previously taught at Colorado School of Mines, University of Colorado Denver, and the University of Denver.
He earned a Bachelor of Science in Mathematics from University of Mustansryah, Baghdad, Iraq, 1987, and a Master of Science in Computer Science from the University of Baghdad, Iraq, 2000. In 2006, Dr. Shaalan earned his Doctor of Philosophy degree in Computer Science from Informatics Institute for Postgraduate Studies, Baghdad University. His research interests include Programming Languages, Algorithms, Computational Sciences, and Artificial Intelligence.

Teaching and Research Interests:

Dr. Shaalan believes that teaching is one of the most exceptional careers. It needs to be dynamic, resourceful, and able to make complex subjects understandable which is a great challenge. “Our field changes rapidly and getting increasingly competitive, then creating, designing, and teaching new courses are subtle.” For Dr. Shaalan, these tasks are such enjoyable and he considers them as the most appropriate investment of time and energy. He prefers the interactive approach to teaching. He believes it facilitates sharing knowledge with the students, keeps them tuned, and motivates them to strive for excellence.
As a researcher, Dr. Shaalan believes that the field of Computer Science has developed a tradition of interdisciplinary. Numerous examples exist of such mutual interaction of computer science and mathematics or computer science and other Sciences. In the same manner when Newton’s scientific pursuit forced him to invent the mathematical tools that enabled him to solve the problem presented by physics; the biological investigation was the main motivation behind the creation of a new field of programming paradigms such as Artificial Neural Networks, Genetic Programming, and more advanced computer graphics.
On the other hand, it is so clear that all areas of science have urgent needs for computer scientist and mathematician’s efforts. With the greatly increased amount of data being generated by modern lab techniques and the pressure to move to more automated analysis, it is becoming even more important to involve computational methods of analysis, sophisticated algorithms that can handle the large amount of information and able to capture the short distances encrypted in the raw data, and appropriate computer graphics in response to the need to display and interpret the problem anatomy.

Glenn Williams
Lecturer in Advanced Manufacturing, AR & Robotics
Email

Glenn P. Williams, Internet Rich Media Developer, TRC Interactive. Glenn has a BSME from the University of Vermont, EIT from Louisiana and PE from Ohio. However, everyone that knows Glenn knows — he is a computer guy.

He codes client-side and server-side asp functions, SQL database statements, JavaScript functions including flash-to-JavaScript and flash-to-flash functions, flash CS3 actionscript functions and complex custom combinations in order to achieve real time optimized data exchange.

He teaches Robotics at Harrisburg University where students design, build and program Lego robots. He also teaches students how to use Vuforia, an augmented reality software development kit for mobile devices that enables the creation of augmented reality applications for example, autonomous robots. It uses computer vision technology to recognize and track planar images (pictures) and simple 3D objects, such as boxes, in real-time.

Bruce Young
Lecturer of Cybersecurity & Information Assurance
Email

Phone Number:

717-304-3624

Education:

Masters in Business Administration (MBA), Lebanon Valley College, Annville, PA
Masters in Professional Studies (MPS) in Cybersecurity and Information Assurance, Penn State University, State College, PA

Biography:

Bruce Young is an Information Security Executive with 25 years of experience in corporate and public organizations. Bruce has designed and led programs including Information Security (CISO), leading Threat Management, Security Operations, Assessment, Vulnerability Analysis and Information Risk Management.

Bruce aligns with business management and considers how security initiatives can reduce risk and provide competitive advantage. Researches security vulnerability and compromise trends and develops strategies to combat emerging threats. Recognized as a change agent. Has proven problem solving, project management, and interpersonal skills. Effects cultural change through awareness programs and security advocacy.

Teaching & Research Interests:

Cybersecurity, research in cloud, artificial intelligence, and analytic computing security

Courses Taught at HU:

CISC 661 Cybersecurity & Cyberwarfare; CISC 662 Risk Assessment & Management; CISC 663 Ethical Hacking

Daqing Yun, Ph.D.
Assistant Professor of Computer Science
Email

Phone Number:

717-901-5100 x1627

Education

Ph.D. in Computer Science, New Jersey Institute of Technology, Newark, NJ, USA.
M.Sc. in Computer Software and Theory, Xidian University, China.
B.S. in Software Engineering, Xidian University, China.

Biography

Dr. Yun is currently an assistant professor at the Harrisburg University (HU) of Science and Technology in the Computer and Information Sciences (CIS) program. He is interested in high-performance networking, parallel and distributed computing, green networking, and big data. He has worked on several projects that include ProbData, FastProf, TSWS, TPG, ClusterWE, TREMEL, BirdCap, and NADMA.

Teaching and Research Interests:

Dr. Yun is currently teaching software development process and quality at Harrisburg University. He also enjoys teaching courses such as computer networks, special topics in big data, etc.

Dr. Yun's research interests include computer networks, high-performance networking, parallel and distributed computing, and big data. You can find his papers at http://daqingyun.github.io/papers.html.

Courses Taught at HU:

CISC 491
CISC 520
CISC 611
GRAD 695/699