Chad Chu is a recent graduate from Harrisburg University of Science and Technology with an undergraduate degree in Computer Security and a Master’s degree in Analytics. He enjoys teaching Discrete Mathematics and Programming. Research related to his Master’s degree that he is particularly fascinated with is research done in sentiment analytics specifically work done on how to detect sarcasm in text. Other areas of interest include machine learning and pattern recognition.
Professor Philip A Grim II is a Lecturer in Computer Science at Harrisburg University of Science and Technology, teaching graduate level classes in Big Data Architectures and Sentiment Analytics, among others. In addition, Mr. Grim serves as the Chief Technology Officer of MistIQ Technologies, helping to lead the development of the company’s Smart Data and Active Data Transformation Fabric products.
Mr. Grim’s career as a professional software engineer has spanned more than 25 years of both military and civilian contractor experience supporting the Department of Defense and the intelligence community. His work in pioneering the use of Big Data technologies in the DoD, as well as extensive experience with Natural Language Understanding technologies in military intelligence, form the foundation of his academic endeavors at Harrisburg University.
Mr. Grim holds an Associate of Applied Science in Computer Programming Technology from Metropolitan Community College of Omaha, a Bachelor of Science in Computer Information Systems from St. Leo University, and a Master of Science in Analytics from Harrisburg University.
Professor Andrew J. Hacker is the Cybersecurity Expert In Residence at Harrisburg University and Founder and CEO of MistIQ Technologies. At Harrisburg University, he is helping to further the University’s position as a world class institution in Cybersecurity. As CEO of MistIQ Technologies, Mr. Hacker is building an innovative technology called Data Defined Computing that will enable the new data economy and enhance the business value of information by creating an infrastructure for intelligent data. MistIQ’s patented Smart Data and Active Data Transformation Fabric brings the next generation of data interaction, security, ownership, privacy, analytics, and artificial intelligence to the Digital Universe.
Mr. Hacker is the former Deputy Chief Information Security Officer for the Commonwealth of Pennsylvania, where for 6 years, he supported the Enterprise Information Security Office in managing information security, guiding State Agency CISOs and Executives, interacting with State and Federal partners, and protecting citizen data and government systems and operations. He played a major role in creating enterprise security strategies, standards and policies, enhancing overall application security, and was responsible for risk management and compliance across the commonwealth.
Publications in Network World, Information Week, Help Net Security.
Certifications: CISSP, ISSAP, PCI QSA (former), CTGA, CGCIO
Ron Jones is an information technology (IT) and data security professional with over 30 years of experience in computer systems engineering, software engineering, network engineering, data security and IT management. Specialized in computer systems security, data security and privacy standards, information assurance, data networking, and digital forensics. Employed as staff and consultant with Fortune 500 companies, start-up companies, manufacturing, and federal and state governments. Held mid-level and senior management positions. Taught IT security courses and seminars to colleges, universities, and high schools. Ron Jones is the principle instructor of the core cybersecurity courses including CISC 320, 333, 440, and 663.
Chintankumar Kanadia is a creative and passionate Computer Science Instructor dedicated to fostering a student-centered classroom environment based on mutual respect and collaboration. Research-oriented academician with over 8 years of experience in reputed university. Committed to helping students identify and develop their own passions while successful professional career.
I started bachelor study (Aug 2003) in one of India’s reputed engineering college after completing my school with good number. In Dharmsinh Desai University, as Computer Engineering student I have participated in various projects like different Tech Fests, Poster Presentations, and website development for different events. During my bachelor’s degree I have also actively participated in social events like blood donation camps and computer literacy at rural area. After completing my Project training at Adani Retail Ltd, I receive my Degree with First Class. After that I worked as consultant for Web development training.
Selection at Dharmsinh Desai University as a Lecturer (July 2008) was breakthrough in my career and started teaching of various subject of computer science and engineering to undergraduate students. In Yearly Tech fest ‘Felicific’, I had experience of working as coordinator and managing technical events. All along I have guided 50+ projects and implemented 4 projects.
In March 2010, I successfully cleared GATE (Graduate Aptitude Test in Engineering) – a National level technical exam with 93 percentile. Due to this university has decided to sponsor me for Master’s Degree. All along with fulltime job and extensive research in field of Cloud Computing I confirmed my Master’s Degree (Master of Technology in Computer Engineering) with 7.4 CPI (First Class with Distinctions) on 12 May 2013. In summer 2014, I worked as Presiding Officer in “Lok Sabha Election”, world largest election for ECI, Government of India.
Mohammad Nayeem Teli is an Assistant Professor in the Department of Computer Science at Harrisburg University. He received his M.S. and Ph.D. in Computer Science from Colorado State University.
His research interests center on improving the understanding and design of systems employing the use of Computer Vision, Data science, Machine Learning and Mathematical Modeling algorithms. He has worked in designing and development of face recognition algorithms to help understand hard datasets. His research also includes face detection using correlation filters. As of April 2017, Google Scholar reports 213 citations to his work. He is a co-founder of a startup involved in Data Science Research and Development.
Mohammad is the author of fifteen papers published in International peer reviewed conferences and journals in the fields of Computer Vision and Machine Learning. He has made contribution to open source software, like Kashmiri language support in Linux environment. He has reviewed papers for several well-known conferences and journals such as International Conference on Computer Vision Systems (ICVS), Automatic Face and Gesture Recognition (FG), International Conference on Computer Vision (ICCV), Journal of Computer Vision and Image Understanding (CVIU) and Journal of Transactions on Knowledge and Data Engineering (TKDE). He has also served on the Program Committee of 1st IEEE International Conference on Next Generation Computing Technologies (NGCT, 2015). His paper, “The Challenge of Face Recognition from Digital Point-and-Shoot Cameras” won the best poster award in the 6th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS, 2013).
Mohammad recently received a Presidential Research Grant to established Pattern Recognition Laboratory at Harrisburg University. This lab is currently involved in a project titled, “A Deep Learning Approach to Human Face Expression Recognition”.
Daqing Yun received his Ph.D. degree in computer science from New Jersey Institute of Technology in August 2016. He is currently an assistant professor at Harrisburg University of Science and Technology. His research interests include high-performance networking, parallel and distributed computing, green networking, and big data.