The faculty members at the Seidenberg School of Computer Science and Information Systems are both scholars and expert practitioners in fields including artificial intelligence, robotics, software engineering, data science and more. In addition, faculty within the Seidenberg School are active members of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers, Inc. (IEEE), the premier professional organizations in the computing field.

Their breadth of experience allows them to integrate real-world use cases and cutting edge techniques with the coursework, giving online MS in Computer Science students exposure to the same types of problems they’ll solve throughout their careers.


Mehdi Badii, PhD
Mehdi Badii, PhD
Professor
Mehdi Badii, PhD
(914) 773-3437

Mehdi Badii, PhD

Professor
Seidenberg School of CSIS

Education

  • PhD, Loughborough University of Technology, Leicestershire, UK, 1981
    Computer Science
  • MA, Lancaster University, Lancaster, UK, 1977
    Computer Science
  • ME, School of Surveying, 1970
    Surveying
  • MS, Tehran University, Tehran, Iran, 1970
    Mathematics
  • BS, Tehran University, Tehran, Iran, 1966
    Mathematics

Awards and Honors

  • Iranian Ministry of Higher Education and Isfahan University, Iran, December 31, 1977— Doctoral Fellowship Award
  • Iranian Ministry of Higher Education and Isfahan University, Iran, December 31, 1976— Fellowship Award

Research Interests

  • Parallel computing (detection of parallelism by grammatical means, includes algorithm design, complexity theory, parallel computation, VLSI design, cryptographic protocols, machine learning, computational biology and communications)
  • Programming languages (formal description of programming languages, programming language concepts and tools including design, implementation and efficient use of languages)
  • Programming languages (compiler design, programming language concepts and tools, including design, implementation and efficient use of languages)
D. Paul Benjamin, PhD
D. Paul Benjamin, PhD
Professor, Director of the PhD Program in Computer Science
D. Paul Benjamin, PhD
(212) 346-1012

D. Paul Benjamin, PhD

Professor, Director of the PhD Program in Computer Science
Seidenberg School of CSIS

Paul Benjamin, PhD earned his doctorate in computer science from NYU. He worked for six years in industry before entering academia. Currently, he is a professor of computer science and founder and director of the Robotics Lab at Pace University in New York City.

Education

  • PhD, New York University, 1985
    Computer Science
  • MS, New York University, 1982
    Computer Science
  • BFA, Carnegie Mellon University, 1976
    Music
  • MS, Carnegie Mellon University, 1975
    Mathematics
  • BS, Carnegie Mellon University, 1973
    Mathematics

Awards and Honors

  • Pace University, 2010—U.S. Patent 60/654,415—System for Intrusion Detection and Vulnerability Assessment in a Computer Network using Simulation and Machine Learning
  • Pace University – CS NY, January 1, 2006—Spring 2006 Course Release to write grant proposals
  • Reengineering LLC, February 1, 2004—U.S. Patent 6,691,132—Semantic Encoding and Compression of Database Tables
  • New York University, September 1, 1983—Graduate Research Assistant

Research Interests

  • Robotics
  • Artificial intelligence (application of artificial intelligence to networks)
  • Cybersecurity
  • Data mining
  • Application of semigroup theory to theory formulation
Sung-Hyuk Cha, PhD
Sung-Hyuk Cha, PhD
Professor
Sung-Hyuk Cha, PhD
(914) 773-3891

Sung-Hyuk Cha, PhD

Professor
Seidenberg School of CSIS

Education

  • PhD, State University of New York at Buffalo, 2001
    Computer Science
  • MS, Rutgers University, 1996
    Computer Science
  • BS, Rutgers University, 1994
    Computer Science

Awards and Honors

  • Center for Community Outreach, Faculty Leadership Award
  • Pace University, December 5, 2019—provosts Open Educational Resource Grant 2019-2020

Research Interests

  • Document analysis
  • Pattern recognition, machine intelligence, and data mining
  • Distance measures and pattern matching algorithm
Anthony Joseph, PhD
Anthony Joseph, PhD
Professor, Department Chairperson
Anthony Joseph, PhD
(212) 346-1492

Anthony Joseph, PhD

Professor, Department Chairperson
Seidenberg School of CSIS

Anthony Joseph, PhD conducts research in spectral and time frequency analyses, computational intelligence, innovation and entrepreneurship, and applied pedagogy. Applications include modeling and forecasting, statistical and data analytics, and cybersecurity.

Education

  • PhD, City University of New York, 1999
    Electrical Engineering
  • MS, The City College, 1987
    Electrical Engineering
  • BS, The City College, 1985
    Electrical Engineering
  • AS, Academy of Aeronautics, 1977
    Avionics

Awards and Honors

  • NULL, September 1, 1983—City College Dean’s List
  • NULL, September 1, 1983—National Dean’s List, City College
  • NULL, September 1, 1975—Trustees and Alumni Awards, Academy of Aeronautics

Research Interests

  • Digital signal/image processing with applications including: spectral and time-frequency analysis, and synthesis in economics/finance, computer security/forensics, image enhancement, and steganography
  • Algorithm development
  • Algebraic representation of computational and software tools
  • Computational code development
  • E-commerce applications
  • Experimental pedagogy/active learning
  • Entrepreneurship, creativity, and innovation
  • Cooperative and collaborative learning
  • Cooperative education and internships
  • Globalization
Miguel Mosteiro, PhD
Miguel Mosteiro, PhD
Associate Professor
Miguel Mosteiro, PhD
(212) 346-1179

Miguel Mosteiro, PhD

Associate Professor
Seidenberg School of CSIS

Before joining Pace in Fall 2016, Miguel Mosteiro was an assistant professor at Kean University, research professor at Rutgers University, and research associate at Universidad Rey Juan Carlos. He received his MS and PhD degrees in Computer Science from Rutgers University. He has 60+ peer-reviewed publications, international collaborations, publications with undergraduate students, he has been a member of multiple scientific committees and panels, and he has received the 2016 Kean University Faculty Research Mentor of the Year Award and the ICALP 2018 Best Paper Award.

Education

  • PhD, Rutgers University, 2007
    Computer Science
  • MS, Rutgers University, 2003
    Computer Science
  • Bachelor of Engineering, Universidad Tecnológica Nacional, Buenos Aires, Argentina, 1984
    Electronics

Awards and Honors

  • EATCS ICALP, 2018—Best Paper Award
  • Kean University, 2016—Faculty Research Mentor of the Year Award
  • The Honor Society of Phi Kappa Phi, 2016—Kean University Chapter Member
  • University of Liverpool, 2014—Honorary Research Fellow

Research Interests

  • Algorithmic problems arising in computational environments that are harshly constrained due to limitations on energy, cost, and/or physical conditions
  • Areas of application include the internet of things, crowd computing, and cloud computing.
Christelle Scharff, PhD
Christelle Scharff, PhD
Professor
Christelle Scharff, PhD
(212) 346-1016

Christelle Scharff, PhD

Professor
Seidenberg School of CSIS

Christelle Scharff, PhD is a professor of computer science at Pace University. She has a PhD in Symbolic Artificial Intelligence from INRIA (French Institute for Research in Computer Science and Automation) in France. Her research focuses on global software engineering and ICTD. She was awarded grants from NSF, IBM, Microsoft, VentureWell and Google. She has been a Fulbright scholar in Senegal in 2012 and 2019.

Education

  • PhD, University Henri Poincare, Nancy France and French Institute for Research in Computer Science and Automation, Nancy, France, 1999
    Computer Science
  • MS, University Henri Poincare, Nancy, France, 1995
    Computer Science
  • BS, University Henri Poincare, Nancy, France, 1993
    Computer Science

Awards and Honors

  • Fulbright, US State Department, October 2019—Fulbright Scholar
  • Pace University, October 1, 2016—Wilson Center for Social Entrepreneurship Fellow
  • American Institute for Public Service, October 1, 2015—Jefferson Award for Public Service, Pace University Bronze Medal Award
  • Fulbright, US State Department, October 1, 2012—Fulbright Scholar
  • Pace University, October 1, 2012—Pace University Presidential Release Time Award

Research Interests

  • Programming (distributed and parallel implementations on distributed memory machines)
  • Theoretical computer science
  • Artificial intelligence: automated deduction and theorem proving
  • Simplification strategies and detection of redundant information
  • Efficient implementation of automated deduction and theorem proving
  • Formal software verification
  • Deep learning
  • Global software development
  • Socialization in distributed teams, and software testing
  • User-centered design in mobile application development; mobile for development (M4D)
  • ICTD (information and communication technology for development), and digital literacy
Juan Shan, PhD
Juan Shan, PhD
Associate Professor
Juan Shan, PhD
(212) 346-1014

Juan Shan, PhD

Associate Professor
Seidenberg School of CSIS

Juan Shan, PhD joined Pace University in August 2013. She is currently an associate professor in the Department of Computer Science. Prior to joining Pace, she was an assistant professor in the Department of Mathematics and Computer Science at Benedictine College from 2011 to 2013. Her primary research interest is the application of machine learning to medical image analysis and computer-aided diagnosis.

Education

  • PhD, Utah State University, 2011
    Computer Science
  • BS, Harbin Institute of Technology, Harbin, China, 2004
    Computer Science

Awards and Honors

  • Pace University, June 2016—Kenan Award
  • Pace University, April 2014—Research Day 2014 Awardee
  • Intermountain Graduate Research Symposium, April 2011—First Place Research Paper

Research Interests

  • Machine learning
  • Medical image processing
  • Computer-aided diagnosis (CAD) systems, with a primary focus on developing robust and efficient CAD algorithms to help doctors analyze medical images, discover distinguishing features, and classify data utilizing machine learning methods. Ongoing research projects include CAD systems for breast cancer, diabetic retinopathy, and knee osteoarthritis.
Lixin Tao, PhD
Lixin Tao, PhD
Professor, Department Chairperson
Lixin Tao, PhD
(914) 773-3449

Lixin Tao, PhD

Professor, Department Chairperson
Seidenberg School of CSIS

Lixin Tao received his PhD in Computer Science from the University of Pennsylvania in 1988. He is now a professor and chairperson of the Computer Science Department at Westchester.

Education

  • PhD, University of Pennsylvania
    Computer & Information Science
  • MSE, University of Pennsylvania, 1985
    Computer & Information Science
  • MSE, East China Normal University, 1981
    Computer Applications & Software Engineering
  • BSE, East China Normal University, 1978
    Computer Engineering

Awards and Honors

  • East China Normal University, Shanghai, China, April 20, 2006—Advisory Professor Certificate
  • Marquis, January 1, 2005—Who’s Who in America—Commemorative 60th Diamond Edition
  • Marquis, January 1, 2005—Who’s Who in American Education – 2005
  • Pace University, September 1, 2004—Pace Research Grant Proposal Time Release Award
  • Computing Sciences Accreditation Board, April 1, 2004—Nominated to be Program Evaluator for CSAB (Computing Sciences Accreditation Board)
  • Marquis, January 1, 2004—Who’s Who in America
  • Academic Keys, January 1, 2004—Who’s Who in Sciences Higher Education—2004
  • Marquis, January 1, 2003—Who’s Who in America
  • Moore School, University of Pennsylvania, January 1, 1986—Research Fellow
  • Moore School, University of Pennsylvania, January 1, 1984—Teaching Fellow

Research Interests

  • Internet computing
  • Server/service scalability
  • Component technologies & software architectures
  • Parallel computing
  • Functional simulation technologies
  • Combinatorial optimization
Charles Tappert, PhD
Charles Tappert, PhD
Clinical Professor
Charles Tappert, PhD
(914) 773-3989

Charles Tappert, PhD

Clinical Professor
Seidenberg School of CSIS

Charles Tappert, PhD’s research interests include biometrics, machine learning, big data, artificial intelligence, natural language processing, cybersecurity, and more.

He has authored and co-authored articles for numerous websites and professional journals including Artificial Intelligence Research and Communications in Computer and Information Science, and has presented at several esteemed research conferences. He is the owner of nine patents, and received a $100,000 private grant from Verizon to research mobile phone security.

Tappert, a Fulbright Scholar, earned both his PhD and MS in Electrical Engineering from Cornell University and his BS in Engineering Sciences from Swarthmore College.

Education

  • PhD, Cornell University, 1967
    Electrical Engineering
  • MS, Cornell University, 1962
    Electrical Engineering
  • BS, Swarthmore College, 1960
    Engineering Sciences

Awards and Honors

  • Pace University, 2002 – Distinguished Service Award: DPS in Computing Faculty Team
  • United States Military Academy at West Point, 2000 – Meritorious Civilian Service Award
  • United States Military Academy at West Point, 1998 – Department of the Army Certificate of Appreciation
  • IBM Corporation, 1990 – Four Patent Achievement Awards
  • Fulbright, 1962 – Fulbright Scholar, Royal Institute of Technology, Stockholm
  • Cornell University, 1960 – RCA Fellowship
  • Swarthmore College, 1959 – Westinghouse Achievement Scholarship
  • Swarthmore College, 1958 – Sharpless Scholarship

Research Interests

  • Dissertation research methods
  • Emerging information technologies
  • Artificial intelligence
  • Machine learning
  • Pattern recognition
  • Deep learning
  • Data mining
  • Biometrics
  • Algorithms
  • Big data analysis
  • Cybersecurity
  • Internet of things
  • Interactive visual image studies
  • Natural language processing
  • Forensics
  • Capstone real-world projects

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