Laeeq Khan Bio
M. Laeeq Khan (Ph.D., 2014, Michigan State University, USA) is an Associate Professor in the School of Media Arts & Studies, Scripps College of Communication at Ohio University. He is also serving as the founding Director of the Social Media Analytics Research Team (SMART) Lab. Khan is a computational social scientist with expertise in data mining, text analytics, social network analysis, and data visualization. He is a recipient of multiple awards for his research and journalism, including teaching excellence. Khan’s other qualifications include a master’s degree in Telecommunications Management (2003) and a Masters in Business Administration (MBA, 2004) from Kentucky.
He has over 15 years of interdisciplinary research, teaching, and industry experience in audience engagement, social media and data analytics, information literacy, and research methods. He is also serving as an affiliated faculty with the Communication Development program and the Infectious and Tropical Disease Institute at Ohio University. Khan has extensive professional experience as a social media strategist in Washington D.C., consulting for various organizations, including start-ups and large companies. He has successfully managed several creative projects that included web, social, and video messaging, from their design and implementation to their evaluation and analytics.
At the SMART Lab, he leads research teams focusing on diverse topics, including health informatics, risk, and crisis communication, local journalism, organization, and government public relations, misinformation and fake news on social media, and understanding media effects. He employs a range of methods, including quantitative (experiments and surveys), qualitative (interviews, focus groups), and the latest data analytics techniques to conduct impactful research.
He is passionate about presenting data science to technical and non-technical audiences. He has worked on diverse research projects funded by USAID, National Science Foundation (NSF), and Bill & Melinda Gates Foundation. As an active researcher and scholar, he has published in high-impact-factor refereed journals, authored book chapters, and presented at major conferences in media, communication, business, and information systems. His publications have appeared in multiple journals, including the Computers in Human Behavior, Information, Communication, and Society, Behavior and Information Technology, International Journal of Communication, and Telematics and Informatics. His work and commentary have also been featured in the popular press — e.g., The Hill, The Tribune, and NPR.
His extensive and diverse teaching experience spans over a decade and in three different countries. Before joining Ohio University, Khan served as a faculty at the American University in the UAE, where he helped establish a media communication program and led efforts in creating a media lab. Khan teaches the following courses:
- Social Media Analytics (MDIA 4130)
- Research in Social Data Analytics (MDIA 6130)
- Social Analytics in Crisis Communication (COMM 5320)
Learn, Inspire, Lead !M. Laeeq Khan
My research interests include:
- Big Data and Social Media Analytics
- Digital Audience Engagement and Marketing Analytics
- Network Science
- Visual Analytics
- Textual Data Mining
Since arriving at Ohio University in 2015, I have successfully established a robust and meaningful research agenda, developed a record of effective teaching, and been of service to my university, community and profession. I established, pursued and published a research agenda in two major areas of interest: data analytics, a relatively new and emerging direction within the field of Communication, and digital inequalities and media literacy.
I have published over 40 articles in refereed journals, book chapters, and conference proceedings. My research has been published in high impact factor journals:
- Telematics and Informatics
- Computers in Human Behavior
- Behavior and Information Technology
- Computers in Education
- Information Communication and Society
- International Journal of Communication
- Government Information Quarterly
I am also serving as an affiliated faculty in the Communication and Development program, in which I teach a graduate course in research methods. My teaching serve the following goals
- educate students at the cutting edge of analytics research and practice
- foster student learning through effective classroom engagement
- value diversity and connect learning to the demands of the job market.
My instruction inculcates a mix of quality teaching materials, advanced instructional tools in analytics, and sound industry knowledge. I have made noteworthy contributions to the improvement of our program’s curriculum, developing new courses, and now re-envisioning the masters and doctoral programs.