Dr. Bhasin's laboratory has developed strategies for analysis of transcriptome, epigenome, and proteomics data to perform multi-scale modeling of interaction among different cells molecular level and to identify novel biomarkers. He and his team are currently focusing on developing novel single-cell omics approaches to understand disease heterogeneity and the impact of treatments at single-cell resolution. He is involved in developing approaches for the analysis of multi-dimensional single-cell data by developing innovative approaches for single-cell sparsity, batch correction, annotation, and integration. Using these approaches, his group is working toward understanding: 1. Understanding heterogeneity and relapse mechanisms in pediatric hematological malignancies 2. Understanding heterogeneity and progression in multiple myeloma. 3. Development of molecular diagnostics platforms for cancer diagnosis and prognosis 4. Identification of biomarkers for early detection of pancreatic cancer, glioblastoma, and colon cancer 5. Artificial intelligence-based histopathology and radiology cancer image analysis approaches 6. Single-cell Atlas for Pediatric Cancers Additionally, our group is also developing Biomarkers associated with impaired healing of Diabetic Foot Ulcers using single-cell profiling and deep learning-driven wound image analysis. We are working collaboratively to develop innovative genomics and clinical data-driven drug repurposing approaches.

Raheem Beyah, Ph.D., is associate chair for Strategic Initiatives and Innovation, and the Motorola Foundation Professor in the School of Electrical & Computer Engineering at the Georgia Institute of Technology. His research is at the intersection of the networking and security fields. He leads the Georgia Tech Communications Assurance and Performance Group (CAP), which develops algorithms that enable a more secure network infrastructure with computer systems that are more accountable and less vulnerable to attacks. Through experimentation, simulation, and theoretical analysis, CAP provides solutions to current network security problems and to long-range challenges as current networks and threats evolve. Dr. Beyah has served as guest editor and associate editor of several journals in the areas of network security, wireless networks, and network traffic characterization and performance. He received the National Science Foundation CAREER award in 2009 and was selected for DARPA's Computer Science Study Panel in 2010. He is a member of NSBE, ASEE, and is a senior member of IEEE and ACM. Beyah is a native of Atlanta, Georgia. He received his Bachelor of Science in Electrical Engineering from North Carolina A&T State University in 1998. He received his Master's and Ph.D. in Electrical and Computer Engineering from Georgia Tech in 1999 and 2003, respectively. Prior to returning to Georgia Tech, Dr. Beyah was a faculty member in the Department of Computer Science at Georgia State University, a research faculty member with the Georgia Tech Communications Systems Center (CSC), and a consultant in Andersen Consulting's (now Accenture) Network Solutions Group.

Dhruv Batra is an Associate Professor in the School of Interactive Computing at Georgia Tech. His research interests lie at the intersection of machine learning, computer vision, natural language processing, and AI, with a focus on developing intelligent systems that are able to concisely summarize their beliefs about the world with diverse predictions, integrate information and beliefs across different sub-components or `modules' of AI (vision, language, reasoning, dialog), and interpretable AI systems that provide explanations and justifications for why they believe what they believe. In past, he has also worked on topics such as interactive co-segmentation of large image collections, human body pose estIMaTion, action recognition, depth estIMaTion, and distributed optimization for inference and learning in probabilistic graphical models. He is a recipient of the Office of Naval Research (ONR) Young Investigator Program (YIP) award (2016), the National Science Foundation (NSF) CAREER award (2014), Army Research Office (ARO) Young Investigator Program (YIP) award (2014), Virginia Tech College of Engineering Outstanding New Assistant Professor award (2015), two Google Faculty Research Awards (2013, 2015), Amazon Academic Research award (2016), Carnegie Mellon Dean's Fellowship (2007), and several best paper awards (EMNLP 2017, ICML workshop on Visualization for Deep Learning 2016, ICCV workshop Object Understanding for Interaction 2016) and teaching commendations at Virginia Tech. His research is supported by NSF, ARO, ARL, ONR, DARPA, Amazon, Google, Microsoft, and NVIDIA. Research from his lab has been extensively covered in the media (with varying levels of accuracy) at CNN, BBC, CNBC, Bloomberg Business, The Boston Globe, MIT Technology Review, Newsweek, The Verge, New Scientist, and NPR. From 2013-2016, he was an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he led the VT Machine Learning & Perception group and was a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT Discovery Analytics Center (DAC). From 2010-2012, he was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed academic computer science institute located on the University of Chicago campus. He received his M.S. and Ph.D. degrees from Carnegie Mellon University in 2007 and 2010 respectively, advised by Tsuhan Chen. In past, he has held visiting positions at the Machine Learning Department at CMU, CSAIL MIT, Microsoft Research, and Facebook AI Research.

Nazanin Bassiri-Gharb joined Georgia Tech in summer 2007 as an assistant professor at the George W. Woodruff School of Mechanical Engineering. Prior to this, she was a senior engineer in the materials and device R&D group of MEMS Research and Innovation Center at QUALCOMM MEMS Technologies, Inc. Her work included characterization and optimization of optical and electric response of IMOD displays and research on novel materials for improved processing and reliability of IMOD. Bassiri-Gharb's research interests are in smart and energy-related materials (e.g. ferroelectric and multiferroic materials) and their application to nano- and micro-electromechanical systems. Her research projects integrate novel micro and nanofabrication techniques and processes and study of the fundamental science of these materials at the nanoscale, at the interface of physical and electrochemical phenomena.

Stephen Balakirsky is the Chief Scientist for the Aerospace, Transportation & Advanced Systems Laboratory at the Georgia Tech Research Institute (GTRI), and the Director of Technical Initiatives at the Petit Institute for Bioengineering and Bioscience (IBB) at Georgia Tech.

Balakirsky’s research interests include robotic architectures, planning, bio-automation, robotic standards, and autonomous systems testing. His work in knowledge driven robotics couples real-time sensors and knowledge repositories to allow for flexibility and agility in robotic systems ranging from assembly and manufacturing systems to surveillance and logistics systems. The framework promotes software reuse and the ability to detect and correct for execution errors.

Previously, Balakirsky worked as a project manager at the National Institute of Standards and Technology (NIST) and was a senior research engineer at the Army Research Laboratory (ARL). At ARL, Balakirsky performed mobile robotics research in several areas, including command and control, mapping, human-computer interfaces, target tracking, vision processing and tele-operated control.

Joy Arulraj is an assistant professor in the School of Computer Science at Georgia Institute of Technology. His research interest is in database management systems, specifically large-scale data analytics, main memory systems,  machine learning, and big code analytics. At Georgia Tech, he is a member of the Database group.

Dr. Omar I. Asensio is an Assistant Professor in the School of Public Policy at the Georgia Institute of Technology. His research focuses on the intersection of big data and public policy, with applications to energy systems and consumer behavior, smart cities, and machine learning in transportation and electric mobility. He directs the Data Science and Policy Lab at Georgia Tech, where he collaborates with the private sector and city governments on data innovations in policy analysis and research evaluation. He is a faculty affiliate at the Institute for Data Engineering and Science (IDEaS), the Machine Learning Center, and the Strategic Energy Institute. Dr. Asensio’s research has been published in leading journals such as Nature Energy, Nature Sustainability, and PNAS. His work uses statistical and computational tools to advance our understanding of how large-scale civic data and experiments can be used to increase participation in civic processes, while addressing resource conservation and environmental sustainability. Dr. Asensio’s research also has been featured in policy advisory communications by the European Commission, NSF Public Affairs, the World Bank, and national governments — including the U.K., and the IndiaAI initiative.

Dr. Asensio is a member of the New Voices 2021-2023 cohort of the National Academies of Sciences, Engineering and Medicine. He is a recipient of the National Science Foundation CAREER award, the Association for Public Policy Analysis and Management (APPAM) 40-for-40 fellowship, and the ONE-NBS Research Impact on Practice award by the Organizations and the Natural Environment (ONE) Division of the Academy of Management. Dr. Asensio serves as Associate Editor of Data and Policy journal published by Cambridge University Press. He holds a doctorate in environmental science and engineering from UCLA with field specialties in economics. He is a faculty participant in the Research University Alliance (RUA) Research Exchange and is engaged in multiple activities to increase the representation of women and under-represented students and professionals in STEM fields. 

Arriaga is a Human Computer Interaction (HCI) researcher in the School of Interactive Computing. She uses psychological concepts, theories and methods to address fundamental topics of HCI and Social Computing. Her current research interests are in the area of chronic care management and mental health. She designs mHealth systems that address gaps in chronic care and mental health management. The computational systems she designs: foster engagement, facilitate continuity of care, promote patient self-advocacy, and mediate communication between patient and healthcare providers.

Annie Anton, Ph.D., is a professor in the School of Interactive Computing at Georgia Tech, which she chaired until 2017. Previously, she served as a professor in the Computer Science Department of the College of Engineering at North Carolina State University, where she was director of the CSC Policy and Compliance Initiative and a member of the NCSU Cyber Defense Lab. In 2010, she chaired the NC State University Reappointment, Promotion and Tenure Committee. In 2008, she chaired the NC State Public Policy Task Force. Anton's research focuses on methods and tools to support the specification of complete, correct behavior of software systems used in environments that pose risks of loss as a consequence of failures and misuse. This includes systems in which the security of personal and private information is particularly vulnerable. Current extensions to this work, include the analysis of federal security and privacy regulations, and compliance practices. Anton is the founder and director of ThePrivacyPlace.org, a research group of students and faculty at Georgia Tech, CMU, NC State and UMBC. This group is interested in technologies that assist practitioners and policy makers in meeting the challenge of eliciting and expressing policies and regulations (a form of requirements). These tools help ensure that software systems are aligned with the privacy polices and regulations that govern these systems. Her professional activities include a notable combination of multi-disciplinary research and education. She is co-founder of the annual Requirements Engineering and the Law Workshop (RELAW). She is a former associate editor for IEEE Transactions on Software Engineering, cognitive issues subject area editor for the Requirements Engineering Journal, and the International Board of Referees for Computers & Security. Antón has served on various boards, ﾠincluding: ﾠPresident Obama's Commission on Enhancing National Cybersecurity, the NIST Information Security & Privacy Advisory Board, the IEEE Computer Society Research Board, an Intel Corporation Advisory Board, the Future of Privacy Forum Advisory Board. ﾠShe is a former member of the U.S. DHS Data Privacy and Integrity Advisory Committee, the CRA Board of Directors, the NSF Computer & Information Science & Engineering Directorate Advisory Council, the Distinguished External Advisory Board for the TRUST Research Center at U.C. Berkeley, the DARPA ISAT Study Group, the USACM Public Policy Council, the Advisory Board for the Electronic Privacy Information Center in Washington, D.C., the Georgia Tech Alumni Association Board of Trustees, the Microsoft Research University Relations Faculty Advisory Board, the CRA-W, the Georgia Tech Advisory Board (GTAB), and Corporate Secretary for Trekking for Kids, Inc.

Charmain M. Alston is the senior grants administrator for IDEaS. She joined the team in 2017 with more than 26 years of experience in the federal government, and 18 years of experience with proposal and financial administration at the National Science Foundation's Computer and Information Science and Engineering (CISE) directorate. Charmain has a BBS with a concentration in Acquisition and Contract Management.