麻豆传媒

Expert Directory

Showing results 1 – 19 of 19

Ian Foster, PhD

Senior Scientist and Distinguished Fellow - Director of the Data Science and Learning Division, at Argonne National Laboratory - Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago

Globus

Computer Science, Data Science

Dr. Foster is Senior Scientist and Distinguished Fellow, and also director of the Data Science and Learning Division, at Argonne National Laboratory, and the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. His research deals with distributed, parallel, and data-intensive computing technologies, and innovative applications of those technologies to scientific problems in such domains as materials science, climate change, and biomedicine. He is a fellow of the AAAS, ACM, BCS, and IEEE, and an Office of Science Distinguished Scientists Fellow. His awards include the BCS Lovelace Medal and IEEE Babbage and Kanai awards.

Computer Science, Electrical Engineering, Mathematical Sciences, Medicine, Radiology, Wireless

Theodore (Ted) S. Rappaport is the David Lee/Ernst Weber Professor of Electrical Engineering at the NYU Tandon School of Engineering (NYU-Tandon) and is a professor of computer science at New York University's Courant Institute of Mathematical Sciences. He is also a professor of radiology at the NYU School of Medicine.

Rappaport is the founding director of NYU WIRELESS, the world's first academic research center to combine engineering, computer science, and medicine. Earlier, he founded two of the world's largest academic wireless research centers: The Wireless Networking and Communications Group (WNCG) at the University of Texas at Austin in 2002, and the Mobile and Portable Radio Research Group (MPRG), now known as Wireless@ at Virginia Tech, in 1990.

Rappaport is a pioneer in radio wave propagation for cellular and personal communications, wireless communication system design, and broadband wireless communications circuits and systems at millimeter wave frequencies. His research has influenced many international wireless-standards bodies, and he and his students invented the technology of site-specific radio frequency (RF) channel modeling and design for wireless network deployment - a technology now used routinely throughout wireless communications.

Rappaport has served on the Technological Advisory Council of the Federal Communications Commission, assisted the governor and CIO of Virginia in formulating rural broadband initiatives for Internet access, and conducted research for NSF, Department of Defense, and dozens of global telecommunications companies. He has over 100 U.S. or international patents issued or pending and has authored, co-authored, and co-edited 18 books, including the world's best-selling books on wireless communications, millimeter wave communications, and smart antennas.

In 1989, he founded TSR Technologies, Inc., a cellular radio/PCS software radio manufacturer that he sold in 1993 to Allen Telecom which later became CommScope, Inc. (taken private in 2011 by Carlyle Group and now owned by Keysight). In 1995, he founded Wireless Valley Communications, Inc., a pioneering creator of site-specific radio propagation software for wireless network design and management that he sold in 2005 to Motorola.

Rappaport received BS, MS, and Ph.D. degrees in electrical engineering from Purdue University, and is a Distinguished Engineering Alumnus of his alma mater.

Dr. Rappaport can be reached by contacting NYU WIRELESS Administrator Pat Donohue at [email protected], NYU WIRELESS Center Administrator Michelle Austin at [email protected] or his assistant Leslie Cerve at [email protected]. Contact Michelle Austin if you are interested in inviting Dr. Rappaport to give a presentation or attend a meeting.

Awais Rashid, PhD

Professor of Cyber Security

University of Bristol

Computer Science, cyber crimes, Cybersecurity

Professor Awais Rashid is based in the Department of Computer Science, where his research concerns the computer security of large connected infrastructures such as power supply systems, large scale manufacturing plants and water treatment systems. He also leads a national programme of research on protecting citizens online from privacy threats and online harms arising from cyber criminals. He studies why our critical infrastructure systems become vulnerable and the deception techniques used by cyber criminals. He has studied security of software and hardware systems deployed in critical services such as water supply, smart buildings and manufacturing. He has also explored different types of online crime, such as mass marketing fraud, insurance scams, fake online romances, and online grooming. Professor Rashid is currently heading a centre training the next generation of doctoral researchers in cyber security of large-scale infrastructures. He is also directing the National Research Centre on Privacy, Harm Reduction and Adversarial Influence Online. He is heading, as editor-in-chief, an international initiative called the Cyber Security Body of Knowledge, designed to embed stronger foundations for cyber security.

Affiliations
Fellow of the Alan Turing Institute, Chair on the Scientific Advisory Board of the EPSRC-NCSC Research Institute on Science of Cyber Security, Member of the EPSRC Digital Economy Programme Advisory Board and the Scientific Advisory Board, National Research Center for Applied Cybersecurity (ATHENE), Germany

Michael Nizich, Ph.D.

Director, Entrepreneurship and Technology Innovation Center; Adjunct Assistant Professor, Computer Science

New York Institute of Technology, New York Tech

blockchain, Computer Science, Cybersecurity, Information Technologies, Quantum Computing, Robotics

Michael Nizich is the director of the Entrepreneurship and Technology Innovation Center (ETIC) and an adjunct assistant professor of computer science at New York Institute of Technology. He has more than 25 years of professional experience in information technology in a variety of industries, including aviation, education, law enforcement, biotechnology, and cybersecurity. Nizich has held IT leadership positions in both private and publicly held companies.

With more than 10 years of college-level teaching experience, Nizich holds a Ph.D. in Information Studies from Long Island University, a master鈥檚 degree in Technology Systems Management from Stony Brook University, and a bachelor鈥檚 degree in Computer Information Systems from Dowling College.

Through ETIC programs, Nizich regularly connects both domestic and international students with internships and full-time positions in cybersecurity. He also directs New York Tech鈥檚 Center of Academic Excellence for Cybersecurity Education, designated by the U.S. Department of Homeland Security and the National Security Agency, and serves as a member of the CTEA committee for cybersecurity for Suffolk County Community College.

Boleslaw Szymanski, PhD

Claire & Roland Schmitt Distinguished Professor, Computer Science

Rensselaer Polytechnic Institute (RPI)

Computer Science, Network Science, Sensor Networks, Social Network

Dr. Boleslaw K. Szymanski is the Claire and Roland Schmitt Distinguished Professor at the Department of Computer Science and the Director of the ARL Social and Cognitive Networks Academic Research Center at the Rensselaer Polytechnic Institute. He received his Ph.D. in Computer Science from National Academy of Sciences in Warsaw, Poland, in 1976. Dr. Szymanski published over four hundred scientific articles. He is a foreign member of the National Academy of Science in Poland, an IEEE Fellow and a member of the IEEE Computer Society, and Association for Computing Machinery for which he was National Lecturer. He received the Wiley Distinguished Faculty Award in 2003 and the Wilkes Medal of British Computer Society in 2009. His research interests cover the broad area of network science with current focus on social and computer networks.

Anshuman Razdan, PhD

Vice President for Research and Innovation

University of Oregon

Computer Science, Facial Recognition, image processing, Research

Anshuman 鈥淎R鈥 Razdan, vice president for research and innovation at the University of Oregon, was elected to the 2022 class of fellows of the National Academy of Inventors in recognition of his contributions to the field of computer science. Razdan holds four patents, including on 3-D face authentication and document exploitation as well as image processing. Razdan came to the UO in 2022 after serving as the associate vice president of research development at the University of Delaware. 

Benjamin Yankson, PhD

Assistant Professor, College of Emergency Preparedness, Homeland Security and Cybersecurity

University at Albany, State University of New York

Computer Science, Homeland Security, Information Technology

Benjamin Yankson joined the College of Emergency Preparedness, Homeland Security and Cybersecurity at the University at Albany in 2019 as assistant professor, Cybersecurity.

Dr. Yankson holds more than 15 years鈥 experience in various technical leadership roles in information technology security within the healthcare and education industries. He is the former application manager, Critical Care Information System for the province of Ontario鈥檚 (CritiCall Ontario), Canada. His research focuses on IoT Security, Privacy, Cybersecurity Threat and Risk Assessment, Security Auditing/Compliance, and Digital Forensics. In addition, he has served as a reviewer and TPC member of several conferences.

Eman El-Sheikh, Ph.D

Director of the Center for Cybersecurity and Professor of Computer Science

University of West Florida

Artificial Intelligence (AI), Computer Science, Cybersecurity, Cybersecurity Education, Machine Learning

Dr. Eman El-Sheikh is Associate Vice President at the University of West Florida. She leads the Center for Cybersecurity and is also a Professor of Computer Science at UWF. Eman has extensive expertise in cybersecurity education, research, and workforce development. She received several awards related to cybersecurity education and diversity and was recognized among the 2020 Women Leaders in Cybersecurity by Security Magazine. 

Dr. El-Sheikh leads several national and regional initiatives, including the National Cybersecurity Workforce Development Program and the Southeast Regional Hub for the National Centers of Academic Excellence in Cybersecurity. Eman received numerous grants to enhance cybersecurity education, workforce development, and capacity building. She launched the Cybersecurity for All庐 Program to enhance competencies and hands-on skills for evolving cybersecurity work roles. The program was recognized among the 2020 Innovations in Cybersecurity Education. 

Dr. El-Sheikh teaches and conducts research related to the development and evaluation of Artificial Intelligence and Machine Learning for cybersecurity. She has published several books, including most recently, Computer and Network Security Essentials by Springer Publishing, over 75 peer-reviewed articles and given over 100 invited talks and presentations. 

Eman also co-founded the Florida Women in Cybersecurity Affiliate. She holds an M.S. and Ph.D. in Computer Science from Michigan State University.


Tirthankar Ghosh, Ph.D.

Professor and Associate Chair

University of West Florida

Computer Engineering, Computer Science, Cybersecurity, Electrical Engineering, network security, threat intelligence

Dr. Tirthankar Ghosh is a Professor and Associate Chair in the Department of Computer Science at UWF. Dr. Ghosh joined UWF in 2018 after spending 13 years at St. Cloud State University in Minnesota as their lead cybersecurity faculty and program director. He has over seventeen years of experience in cybersecurity education and research in network security, ICS security, anomaly detection, and adversary tactics techniques and procedures, and threat intelligence.

Dr. Ghosh has received multi-million dollars of grants from NSF, NSA, State of MN, state of FL, and private sectors. He established a funded research lab on industrial control systems using motes from Linear Technologies and Emerson Process Management on St. Cloud campus and has experience in leading several state-funded projects on scenario-based, competency-focused, learner-centric curriculum design using the NIST NICE Cybersecurity Workforce Framework.

Dr. Ghosh was the co-founder of a state-wide consortium in Minnesota and a regional cybersecurity consortium in St. Cloud. Dr. Ghosh authored a book titled 鈥淪ecurity by Practice: Exercises in Network Security and Information Assurance鈥, and several journal papers and book chapters. He is also an ABET evaluator for Cybersecurity and Computer Science.

Guillermo Francia III, Ph.D.

Director, Research and Innovation

University of West Florida

Computer Science, Machine Learning, Mechanical Engineering

Dr. Guillermo A. Francia, III joined the University of West Florida Center for Cybersecurity in 2018. Previously, Dr. Francia served as the Director of the Center for Information Security and Assurance and held a Distinguished Professor position at Jacksonville State University. Dr. Francia is a recipient of numerous cybersecurity research and curriculum development grants. His projects have been funded by prestigious institutions such as the National Science Foundation, Eisenhower Foundation, Department of Education, Department of Defense, and Microsoft Corporation. 

His scholarly interests include critical infrastructure security, connected vehicle security, security standards, and regulatory compliance and audit, radio frequency signal security, industrial control systems (ICS) security, machine learning (ML) for security, and digital badging for learning and employment records (LERs). In 1996, Dr. Francia received one of the five national awards for Innovators in Higher Education from Microsoft Corporation. 

He served as a Fulbright scholar to Malta in 2007 and a US-UK Fulbright Cybersecurity research scholar to Imperial College London in the United Kingdom in 2017. Dr. Francia is the recipient of the 2018 National CyberWatch Center Innovations in Cyber Security Education 鈥 Faculty Development Category Award.

Computer Science, Cybersecurity

Anthony teaches graduate and undergraduate courses in Computer Science and Software Engineering. He joined the faculty in 2002 after he earned a M.S. in Computer Science from UWF. Anthony, who spent 20 years on active duty with the U.S. Marine Corps, also has several years experience and training in business-related software development and cybersecurity.

Anthony coordinated UWF鈥檚 successful effort to be designated a National Security Agency/Department of Homeland Security National Center for Academic Excellence in Cyber Education. In addition, he is heavily involved in efforts to enhance Cyber Security education in the area including being a Mentor for CyberPatriot, Cyberthon as well as the Facility Advisor for the UWF Cybersecurity and coach for the Collegiate Cyber Defense Competition. Anthony's professional training includes Wireshark Advanced Network Analysis and Blackhat Certification in Hacking by the Numbers Bootcamp, Hacking by the Numbers BlackOps, pen testing with Kali Linux, Locking Down Linux and Adaptive Red Team tactics.

Sikha Bagui, PhD

Professor and Askew Fellow

University of West Florida

Computer Science, Cybersecurity, Data Mining

Dr. Sikha Bagui, Distinguished University Professor and Askew Fellow, was former Chair of the Department of Computer Science and Founding Director of the Center for Cybersecurity at The University of West Florida. Dr. Bagui is active in publishing peer reviewed journal articles in the areas of database design, data mining, Big Data analytics, Machine Learning and AI. Dr. Bagui has worked on funded as well unfunded research projects and has 85+ peer reviewed publications, some in highly selected journals and conferences. She has authored several books on database and SQL, and her books have been translated into several different languages and have international editions. Dr. Bagui also serves as Associate Editor and is on the editorial board of several journals. 

Degrees & Institutions:
Ed.D., Curriculum & Instruction: Math & Stat / Science/ Computer Science,
University of West Florida
M.B.A., University of Toledo
B.S., Cuttington University (Liberia)

Research:
Interests: Big Data Analytics, Machine Learning, Data Mining, Database Design, Data Pre-Processing

Grant Funding:
NSF CSForALL: $300,000, 10/1/2021-09/30/2023
NSF Collaborative: RAPID, $50,000, 01/25/2021 - 04/30/2021
NSF Collaborative: Elements: RUI: $350,000, 01/25/2021-10/31/2022
NSA NCAE: $375,511, 9/22/2021-12/31/2024
Center for Inclusive Computing: $60,000, 1/2021 鈥 1/2023
Current Courses:
Database Systems
Introduction to Big Data Analytics
Advanced Big Data Analytics
Introduction to Data Mining
Advanced Data Mining
Project (Special topics on Data Mining, Machine Learning and Big Data Analytics)

Computer Science, parallel computing

Dr. Ashok Srinivasan is the William Nystul Eminent Scholar Chair and Professor. He obtained his Ph.D. in Computer Science from the University of California, Santa Barbara, with a dissertation on Computational Issues in the Solution of Liquid Crystalline Polymer Flow Problems. He then performed postdoctoral research at the University of Illinois at Urbana-Champaign, where he developed the SPRNG parallel random number generation software, which is used by major research groups around the world. He subsequently worked at the Indian Institute of Technology 鈥 Bombay, and UCSB, before joining Florida State University, where he was a faculty for 17 years.

Srinivasan鈥檚 research has been widely recognized. He was a Fulbright Senior Research Scholar and has received Best Paper awards at multiple international conferences, including the International Conference on Parallel Processing (ICPP). He has given around 30 invited talks in universities and labs in the USA and abroad, such as at the University of California, San Diego, and Oak Ridge National Lab. He has been PI or co-PI on research grants for around $ 4 million from the National Science Foundation, Department of Energy, Department of Defense, etc. He has reviewed proposals for the National Academies, National Science Foundation, National Institutes for Health, and the Fulbright program.

Srinivasan is keen on fostering student research and in service to the professional community. He is a founding co-chair of the Student Research Symposium at the IEEE/ACM International Conference on High-Performance Computing, Data, and Analytics (HiPC). He has organized around 15 professional events and has served on technical program committees for over 40 international conferences, including SC and IPDPS. He has collaborated with researchers in industry and national labs, such as at IBM and Argonne National Lab, and has been involved in interdisciplinary activities with experts from a variety of fields, such as biochemistry, bioinformatics, chemical engineering, epidemiology, finance, materials, mathematics, mechanical engineering, physics, and urban planning. Further details on his work are available at http://www.cs.fsu.edu/~asriniva.

Degrees & Institutions:
Ph.D. Computer Science, University of California, Santa Barbara, 1996.
M.S. Polymer Engineering, University of Akron, 1992.
B.S. Tech (Honours) Chemical Engineering, Regional Engineering College, Tiruchirapalli, 1987.

Research:
My research expertise lies in high-performance computing, with a focus on applications of supercomputing to science and public policy. I lead Project VIPRA (www.cs.fsu.edu/vipra), which is a multi-university effort for simulation-based analysis of public policy options to reduce the likelihood of infection spread through air travel. Our results have been reported in over 75 news outlets around the world, such as Economist and Fox 麻豆传媒, and were listed among 12 major scientific breakthroughs using the Blue Waters supercomputer at the National Center for Supercomputing Applications.

Computer Science, Cybersecurity, digital forensics, Electrical Engineering

Dr. Caroline John received her MS and Ph.D. degrees in Electrical Engineering from the University of Alabama in Huntsville (UAHuntsville). She also holds a graduate certificate in Cybersecurity from the UAHuntsville. She is currently working as a Lecturer in the Computer Science department at the University of West Florida. Dr. John teaches the courses Digital Forensics at the Graduate level, Discrete Structures, and Introduction to Computer Organization at the Undergraduate level.

Degrees & Institutions:
Ph.D., The University of Alabama in Huntsville, 2019
M.S., The University of Alabama in Huntsville, 2012
B.E., Anna University, Chennai, India, 2008

Research:
Her research interests include IoT security, Cyber-Physical System Security, and Network Security. She is a recipient of three grant awards from Cyber Florida, formerly known as The Florida Center for Cybersecurity. She is currently the PI on a SEED research grant project titled "Security-Aware In-Memory Neural Networks for Cyber-Physical Systems " funded by Cyber Florida and a Co-PI on the NSF CyberCorps: Scholarship for Service grant program "Argo Cyber Emerging Scholars (ACES): Developing a Cybersecurity Community of Practice" which is funded for $2.3 million.

Computer Science

Dr. Thomas Reichherzer, Chair and Associate Professor, has conducted research on wearable device security, smart home technology, and knowledge modeling in health care. These are some of the most recent projects for Reichherzer, who has a Ph.D. in Computer Science from Indiana University. His research interests range from case-based reasoning, natural language processing and knowledge representation to information visualization, human-computer interaction, and security for computers and networks.

Reichherzer鈥檚 work has been published in peer-reviewed journal articles, national and international conference proceedings, and book chapters in areas related to his research interests. Reichherzer earned an M.S. in Computer Science from UWF and a Diplom in Informatik from the University of Ulm in Germany. His background includes seven years as a Research Associate at the Florida Institute for Human and Machine Cognition, which works with industry and government to develop technologies that leverage and extend human capabilities, and two years as Director of Technology for Enkia Corp., which provides artificial intelligence solutions for information management and decision support. Reichherzer teaches graduate and undergraduate courses in computer science and engineering and mentors students on their capstone projects and masters鈥 theses.

Degrees & Institutions:
Ph.D., Indiana University, Bloomington, 2009
M.S., Computer Science, University of West Florida, 1996
Informatic, Diplom, University of Ulm, Ulm, Germany 1996

Research:
I am interested in artificial intelligence and cognitive science methods and their applications to build a wide range of decision support systems and tools. I am also interested in systems and networks and related security issues. My broad research interests include machine learning, natural-language processing, information retrieval, knowledge representation, human computer interaction, and, more recently, sensor networks and wearable devices.

Antibodies, Computational Biology, Computer Science, Data Science, genomic analysis, Genomics, Health, Immune System, Immunology, Infectious Disease, Medicine

Dr. Tal Einav’s accomplishments included the development of sophisticated computational methods to understand viral behavior and predict how individuals react to vaccination or infection. This research earned Einav a prestigious Damon Runyon Quantitative Biology Fellowship and emphasized the importance of pursuing machine learning to analyze big data in immunology.

“We have these tremendous datasets that we’re just barely tapping into,” says Einav. These data allow Einav to understand the immune response in different contexts, from the young to the elderly, from healthy people to individuals who are immunocompromised. All with the goal to discover key patterns that let us understand and harness our immunity. Einav’s work has already demonstrated that blending biophysics and computer science enables researchers to predict the antibody response against new viral variants.

This work paves the way for a fundamentally new form of personalized medicine. For example, Einav imagines tailoring an individualized vaccine strain or dosage based on a patient’s specific antibody repertoire to create a stronger response that lasts for years, if not their entire life.

Computer Science, Economics, Philosophy

Page’s research focuses on the function of diversity in complex social systems, the potential for collective intelligence, and the design of institutions for meeting the challenges of a complex world. Page teaches management and organizational topics. He holds an AB from the University of Michigan, an MA from the University of Wisconsin, and an MS and PhD from Northwestern University.

Justin Del Vecchio, PhD

Assistant Professor Of Cybersecurity & Computer Science

Canisius University

Computer Science, Computer Science And Engineering, , cyber attacks, Cyber Threats, Cybersecurity, Cybersecurity and infrastructure Security Agency, cybersecurity experts, cybersecurity research, Defense and Security, Malware, malware detection, National Security

Professor Justin DelVecchio, PhD, a cybersecurity expert from Canisius University, is available to provide expert commentary on emerging cyber threats, artificial intelligence developments, and national security implications. With over 20 years of industry experience, including significant work with defense contractors and government agencies, DelVecchio offers valuable insights into:

AI and Cybersecurity:

  • Impact of large language models on cyber defense and threat detection
  • Machine learning applications in identifying emerging cyber threats
  • Evolving landscape of AI-driven influence operations and misinformation

Advanced Threat Detection:

  • Novel approaches to malware analysis and detection
  • Information fusion techniques for cyber threat intelligence
  • Emerging patterns in cyber attacks targeting critical infrastructure

Defense and National Security:

  • Cyber defense strategies for government and private sectors
  • Integration of AI in national security applications
  • Risk assessment and mitigation for critical systems

Background:
Professor DelVecchio brings extensive experience from his work at CUBRC Inc., where he led software development projects for the Office of Naval Research, IARPA, Army Corps of Engineers, and Army I2WD. His doctoral research focused on Android malware analysis and developing innovative methods to identify new cyber threats through immutable characteristics.

Areas of Expertise:

  • Machine Learning and Artificial Intelligence
  • Large Language Models
  • Cybersecurity
  • Defense Technology
  • Computer Science
  • Information Fusion
  • Malware Analysis

Education: 

  • Ph.D. - Computer Science & Engineering - University at Buffalo
  • M.S. - Computer Science & Engineering - University at Buffalo
  • B.A. - Computer Science - University at Buffalo

 

AI, Artificial Intelligence, Computer Science, Computer Vision, DeepSeek, LLMs, Robotics, Self Driving Vehicles

Christensen is a national policy leader for the field of robotics and has testified before Congress on the subject. He is the head of a nationwide effort to draft a robotics roadmap and explore the field’s potential to transform U.S. society. Most recently, he served as Director of the Institute for Robotics and Intelligent Machines at Georgia Tech. Christensen's research covers computer vision, artificial intelligence and robotics, and his primary emphasis has been on a systems-oriented approach to machine perception, robotics and design of intelligent machines. He and his team seek solutions that are theoretically sound, with well-defined implementations that can be evaluated in realistic situations. He has worked with a number of industry partners, including Boeing, KUKA, iRobot, BMW and Apple.

 

Before joining UC San Diego as director of the Contextual Robotics Institute at the Jacobs School, he was the founding director of Institute for Robotics and Intelligent machines (IRIM) at Georgia Institute of Technology (2006-2016). He has published more than 350 contributions across AI, robotics and vision. Christensen received the Engelberger Award 2011, the highest honor awarded by the robotics industry. He was also awarded the "Boeing Supplier of the Year 2011" with 3 other colleagues at Georgia Tech. Christensen is a fellow of American Association for Advancement of Science (AAAS) and Institute of Electrical and Electronic Engineers (IEEE). He received an honorary doctorate in engineering from Aalborg University 2014.

 

Showing results 1 – 19 of 19

close
0.45279