Wenli Wang

I'm a University Professor in CIS at RMU. I was Faculty Lead/Prof at Trident, Visiting Prof at UNLV, and Assistant Prof at Emory. I did PhD at UT Austin/was advised by Andrew Whinston. I got BSc. from BUPT. I am Founder & CEO of 1only, consulting for Cedars Sinai/First Quantum Minerals. I have 3 Nvidia professional certifications.

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Research

I'm interested in physical AI, secure AI, AI wisdom, and AI consciousness. My past research was on secure systems design (e.g. game theory, formal verification, reengineering, mindfulness, etc.), cybersecurity, technology management, education, and leadership. Below is a partial list. Some papers are highlighted. .

A proper buy price increases social welfare and utility of each agent when either bidders or seller are risk-averse. It provides the theoretic foundation of "golden buzzer" on American Idol.

BVA is computationally efficient and robust against buyer multi-identity bidding by discouraging a bidder splitting his single bid for a larger bundle into several bids under multi-identities for smaller bundles.

Leveled Partition Set (LPS) protocol for multi-unit sealed-bid auctions prevents online false-name bidding and is computationally efficient.

It introduces an auction mechanism which makes shill bidding unprofitable. An auctioneer charges seller a commission fee based on the difference between the winning bid and the seller’s reserve. Commission rates are mathematically determined to guarantee the non-profitability of shill bidding.

Shill bidding in multi-round online English auctions violates revenue equivalence theory. This calls for auction redesign to address “shiller’s curse.”

A shill-proof mechanism needs to ensure that the seller’s optimal strategy is to set optimal reserve based upon the best estimation of the possible presence of a high-type bidder ex ante and not to revise the reserve via shilling. It designs A Shill-Proof Fee (SPF) schedule for independent private-value English auctions.

Model checking, formal verification technique, can feasibly find flaws and errors that testing and simulation often miss in distributed e-processes.

It introduces an economic solution to neutralize piracy in motion picture industry by reengineering its supply chain across all three sectors: production, distribution, and exhibition.

It proposes that authenticity disposition and quality disposition moderate the relationship between the perceived authenticity and tech use. Technology, if constructed as an authentic context, can mediate the relationship. It relies on existentialist’s view on authenticity, bases on Dewey's Theory of Quality, and extends Pallud and Straub's framework.

Neither utopian nor dystopian stances on the value of technology achieve much practical value. Instead, perennial universal insights of wisdom viewed in a contemporary, practical, and scientific context may provide a path in technology research, design, management, and use.

It proposes DCPS framework measuring declarative, cognitive and procedural knowledge of privacy and computes a composite score for total privacy literacy.

It shows significant effects of AI-SETA and explainable AI on the reduction of phishing susceptibility.

United States Supply Services (USSS) applied Theory of Constraints and achieved 46% improvement in contract award rate in 13 TOC-experimental divisions vs. 8% improvement in 3 controlled divisions during 2008-2010.

Although risk factors have significant negative impacts on post-traumatic growth (PTG), global management competence (GMC), and retention intention (RI), PTG and GMC do have positive impacts on RI, which offsets the negative effects of risk factors.

It investigates the impact of information free flow, IT infrastructure flexibility, cloud system quality, IT security, and cloud privacy on the increased net benefits of cloud computing. Information free flow and cloud system quality can lead to information systems success.

A survey before, during, and after an enterprise IS implementation shows that management of change can increase readiness for change and end-user computing satisfaction during and after the implementation.

Survey results of 400+ CIS students at 3 universities in 2017-2020 show that students have consistently perceived courses offered on-ground with an online supplement as being the most effective and such perception does not vary significantly based on age or gender.

Students in 3 universities preferred on-ground course delivery as opposed to online. Completely online course delivery was perceived as moderately effective with significant demographic differences based on both age and gende.

Through two-step cluster analysis unsupervised machine learning, two distinct clusters of students emerged, namely Onliners and Ongrounders. The top nine out of the eleven group characteristics for Onliners are: select more online courses, regard online instruction as effective, work better without supervision, rely less on classroom interactions in learning, value convenience, can prioritize, are better organized, better prepared, and older.

IS college students’ mindfulness dispositions are satisfactory. Females have a wider variance in mindfulness dispositions than male. It was unexpectedly observed that the subjective survey results corresponded to the objective mindful behavior.

Miscellaneous

Federal government: Kendal V. Polk, Edgardo Donovan, Christopher D. Knaggs, Chaojie Wang, Cheng-Jen Liu
Think tank: Fred Y. Robinson, Craig Weaver
Industry: Masialeti Masialeti, Ralph Wayne Ezelle, Jr., Devann M. Steele, Brandial Bright, Larraine Brandt, Vipan Devgan, Gregorio E.A. Huerta, Rudolph F. Lalak
University: Pauline Ash Ray, Chaza F. Abdul-Al, Fred Hoffman