Image Processing, Neuroimaging, Machine Learning and Assistive Technology

See more about Dr.Adjouadi here: Malek Adjouadi – People – ECE – Florida International University – FIU

IoT Security

Dr. Kemal Akkaya is a full professor in the Department of Electrical and Computer Engineering with a joint courtesy appointment in the School of Computer and Information Sciences at Florida International University. Dr. Akkaya leads the Advanced Wireless and Security Lab (ADWISE) in the ECE Dept. His current research interests include security and privacy, internet-of-things, and cyber-physical systems. In this research he employs methods from machine learning to several specific problems. Mainly, machine learning and deep learning methods are used for digital forensics applications including multimedia and cryptocurrency forensics. Similar techniques are used for device fingerprinting such as drones. Dr. Akkaya also utilizes machine learning and data analytics for blockchain applications to analyze any transactions. Finally, Dr. Akkaya employs secure multi-party computation techniques for enabling privacy-preserving machine learning applications.

See more about Dr. Akkaya here: Dr. Kemal Akkaya (fiu.edu)

Machine learning and Optimization Algorithms, Distributed Algorithms, Federated Learning, Sensor Networks, Interdependent Networks, Critical Infrastructure Resilience

M. Hadi Amini is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences at Florida International University. He is the director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (www.solidlab.network). He received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2019, where he received his M.Sc. degree in 2015. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. degree from Tarbiat Modares University in 2013, and the B.Sc. degree from Sharif University of Technology in 2011. His research interests include distributed optimization and learning algorithms, distributed computing and intelligence, sensor networks, interdependent networks, and cyber-physical-social resilience. Application domains include smart cities, energy systems, transportation electrification, and healthcare. His research on federated learning and optimization algorithms, and their applications has received over $1M funding from several funding agencies as of February 2022.

Hadi is a life member of IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE. He served as President of Carnegie Mellon University Energy Science and Innovation Club; and as technical program committee of several IEEE and ACM conferences. He also serves as Associate Editor of multiple journals, including Data Science for Communications (Frontiers in Communications and Networks). He has published more than 100 refereed journal and conference papers, and book chapters. He edited/authored eight books. He is the recipient of the best paper award from “2019 IEEE Conference on Computational Science & Computational Intelligence”, 2021 best journal paper award from “Springer Nature Operations Research Forum Journal”, best reviewer award from four IEEE Transactions, the best journal paper award in “Journal of Modern Power Systems and Clean Energy”, and the dean’s honorary award from the President of Sharif University of Technology.

See more about Dr.Amini here: www.hadiamini.com

Ariel Baron-Robbins, an interdisciplinary artist and academic specializing in Digital Media and Drawing, teaches Animation at Florida International University as a Visiting Associate Teaching Professor. Holding an MFA in Interdisciplinary Studies from the University of South Florida, she has over a decade of experience teaching Drawing and Digital Art in South Florida and has exhibited her artwork widely.
She is integrating Generative Artificial Intelligence into her Intermediate Animation, Advanced Animation, and Story Development courses. She requires students to use GAN programs in the classroom for creating animations and to assist with conceptualization and research. She recorded live on X and for a podcast during her Intermediate/Advanced class in 2024 with artist and podcaster Whizpill, titled “Animation & AI: Skills & Tools of the Future Taught in Universities.”She has recently participated in a panel at FIU’s Ratcliffe Incubator Space, titled “Before and After,” where she discussed and demonstrated the impact of using Generative AI. Additionally, she was featured in a discussion with Stephanie Tripp from the University of Tampa, titled “Discussion with Curator, AI, NFTs, Art and the Metaverse,” held at Tempus Projects in Tampa, FL.

Digital Signal Processing, Artificial Neural Networks, Image Processing, and Micro Processors 

Armano Barreto Graduated with a Bachelors Degree in Electrical-Mechanical Engineering from the National Autonomous University of Mexico (UNAM ), in 1987. He obtained the M.S.E.E. Degree from Florida International University in August 1989 and the Ph.D. In Electrical Engineering from University of Florida , Gainesville, in May 1993. Then he spent one more year in Gainesville as a Post-Doctoral Associate with the Computational Neuro-Engineering Laboratory ( CNEL) / UF Brain Institute. Through his Ph. D. and Post-Doc studies he applied Spatio-Temporal DSP techniques to the real-time detection of specific (abnormal) features in multi-channel Electroencephalogram (EEG) Data

See more about Dr. Barreto here: DSP (fiu.edu)

Applied Machine Learning

Janki Bhimani’s primary research focus revolves around Flash-Based Storage Systems, Big Data Processing, Cloud Computing, High-Performance Computing, and Parallel and Distributed Computing. Her research interest also includes Performance Modeling, Resource Management, and Capacity Planning for various emerging inter-disciplinary research domains. With her extraordinary expertise and extensive experience in the field of new emerging flash-based storage systems and devices, she has made significant contributions to the data storage management community. She is the recipient of the Outstanding Graduate Research Award of 2019 from Northeastern University. She also received Best Paper Awards from flagship conferences. Her work is published in highly selective conferences and journals. She is also the main inventor of top graded patents. Hand-in-hand with her research, she is very passionate about teaching and mentoring. Prior to joining at Florida International University, she previously served Northeastern University as an instructor. She also closely worked with research scientists at Samsung Semiconductor Research Labs towards evolving flash-based SSDs. In her free time, Janki is a creative visual artist. Far from home, amidst nature, she finds her inspiration to paint. She enjoys understanding the impact of art on human psychology, and she can painterly bring motivation, healing, and encouragement through the canvas.

Mobile Robotics, Planning Algorithms, Cyber-Physical Systems

Dr. Leonardo Bobadilla (FIU) is currently an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. He is interested in understanding the information requirements for solving fundamental robotics tasks such as navigation, patrolling, tracking, and motion safety and has deployed test-beds that can track and control a large number of mobile units that require minimal sensing, actuation, and computation. He received his Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign. He has received several awards and has published 37 peer-reviewed journal articles and conference papers. His research articles have appeared in prestigious journals such as IEEE Journal of Automation Science and Engineering, IEEE Robotics and Automation Letters, and ACM Transactions on Sensor Networks. His research has been sponsored by the Army Research Office, Department of Homeland Security, NSF, and the Ware Foundation. He has graduated three Ph.D. students and one master’s student who are well placed in major companies and universities.

See more about Dr.Bobadilla here: Leonardo Bobadilla (fiu.edu)

View Dr.Bobadilla projects here: Prof. Leonardo Bobadilla Projects

Security, Privacy, and Distributed Systems

Bogdan Carbunar is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at FIU, and directs the Cyber Security and Privacy Research (CaSPR) Lab, where he develops secure and usable systems.  His research interests are at the intersection of security, privacy and distributed systems, where he derives novel insights through the use of machine learning, applied cryptography and user studies. His recent interests include fraud and abuse detection in online systems (e.g., Google, Facebook, Yelp), mobile authentication and cryptocurrency-based censorship resistance. He has published papers in top tier conferences and journals (see link above for details) some of which have received best paper awards. He holds a PhD in computer science from Purdue University and a BS from Politehnica University Bucharest.

See more about Dr.Carbunar here: Bogdan Carbunar (fiu.edu)

Microbiome, GPU computing, Network Analysis

Dr. Trevor Cickovski received his Ph.D. from the University of Notre Dame in 2008. He holds Graduate Faculty status and specializes in teaching hardware and Unix coursework, and is IRB-certified and a member of the Bioinformatics Research Group (BioRG) at FIU. He also is a member of the ACM, IEEE, and the National Learning Assistant Alliance (LAA). He has received funding from NIJ (epigenetics), and NSF (machine learning and Covid-19 vaccine discovery). Trevor is lead software developer of PluMA, facilitating natural progress by allowing construction of new ideas as plugins in a choice programming language.

Trevor is passionate about health and explores roles played the microbiome in maintaining homeostasis. Microbiomes have enormous influence given their ubiquity and involvement in host metabolic reactions. He has explored connections with ADHD, A1AD, COPD, smoking, and red tides using multi-omics approaches that integrate DNA, RNA and metabolites through large-scale processing, GPUs, and network analyses. He has several peer-reviewed publications including JMM, LNBI, Bioinformatics, BMC, ICCABS, IWBBIO, and ACM TCBB. He has received funding from NIJ (epigenetics), and NSF (machine learning and Covid-19 vaccine discovery). Trevor is lead software developer of PluMA, facilitating natural progress by allowing construction of new ideas as plugins in a choice programming language. These can be uniformly tested alongside other plugins and committed to a centralized plugin pool. The PluMA plugin pool has grown from 70 to 225+ plugins from 2019 to 2020, and continues to grow.

See more about Dr. Cickovski here: Trevor Cickovski’s Webpage (fiu.edu)

Dr. Deanne Butchey is a Teaching Professor in the Department of Finance, former Chair of FIU Faculty Senate, Member of the FIU Board of Trustees, and Associate Dean of Accreditation at FIU Business.

Deanne holds a PhD in Finance from FIU, an MBA and an Honors Bachelor of Arts in Econometrics from Canada’s York University’s Schulich School of Business, and a general BA in Economics from University of Western Ontario. Before joining FIU, Deanne worked as an Investment Banker and Financial Services Stock Research Analyst at Credit Suisse First Boston in their Toronto offices.

Based on her past experiences and current research, she has integrated the use of AI in the teaching of Finance. In her class students work with AI-powered algorithms and software to analyze vast amounts of financial data, identify patterns, and answer economic/finance related questions. Some of the AI applications include helping investment and commercial banks detect and mitigate risks and identify fraud, providing timely insights to decision-makers and regulators. Students incorporate AI algorithms to analyze market trends, historical data, investor preferences, social media posts, and other sources of information to gauge market sentiment and make informed investment decisions.

Current Projects

• Project Title: Teaching Big Data and Analytics in Finance in the MSF program
  •  Annually, two cohorts of students work with IBM Watson, SAS Analytics, Python and other tools to answer a burning question related to Finance or Financial Economics. They incorporate the theory of Finance with AI powered algorithms to prepare themselves for the Financial Services world that is increasingly incorporating AI tools to predict the future and prescribe paths for optimal decision-making.

Natural Language Processing, Artificial Intelligence, Neural Networks

Robert Hacker is the Co-founder and Director of StartUP FIU, where he focuses on commercializing faculty research in emerging technologies and curriculum innovation. He is a professor in the Honors College at FIU and he previously taught at MIT Sloan. He teaches courses in social entrepreneurship, mental frameworks in decision making and the Fourth Industrial Revolution. He previously was the COO/CFO of One Laptop per Child, an international social venture started at the MIT Media Lab. He also built a billion dollar publicly-traded company in Indonesia. He is the author of two books on entrepreneurship.

See more about Prof. Hacker here: Robert H. Hacker – StartUP FIU

Hyeyoung Hah received a B.S. degree in Statistics from Dongguk University, Seoul, South Korea in 2000, an M.S. degree in Consumer Behavior from Purdue University, West Lafayette, IN, USA in 2008, and a Ph.D. degree in Information Systems from Emory University, Atlanta, GA, USA in 2016.  She is currently an Associate Professor at Florida International University, Miami, FL, USA.  She has authored 18  publications in the referred journals and conference proceedings. She is a recipient of the best paper runner-up award at the International Conferences on Information Systems (ICIS) in 2012. Recently, her work was nominated for the best paper award at the Hawaiian International Conference on System Sciences (HICSS) in 2020. Her research interests lie in the adoption and impact of digital innovation on various performance metrics in the contexts of healthcare, mobile platforms, finance, and e-commerce in general, and AI-driven decision-making and Internet of Medical Things (IoMT) in specific.

Projects:

• Empowering Citizens’ Self-Health Management via Shoe-based Sensor Technology and Internet of Medical Things
  • Brief Description:  The project focuses on enhancing citizens’ self-health management skills in everyday situations. The primary objectives include designing and evaluating citizen-focused Internet of Medical Things (IoMT) artifacts and identifying barriers and enablers of citizens’ IoMT use. The methodologies employed in the project encompass Applied Science Engineering (AS/E), Design Science, Empirical Econometrics, and Psychometrics. The ultimate impact of the project is to improve the accessibility and applicability of IoMT technologies and devices, enabling everyday citizens to manage their health effectively between doctor’s visits.

Computational Sensor Networks, Parallel and Distributed Algorithms and Data Structures, Software for Detections of Critical Events, Autonomous Systems and Distributed Systems

Dr. S.S. Iyengar is currently the Distinguished University Professor, Ryder Professor of Computer Science and a former Director of the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU), Miami. He is also the founding director of the Discovery Lab. Prior to joining FIU, Dr. Iyengar was the Roy Paul Daniel’s Distinguished Professor and Chairman of the Computer Science department for over 20 years at Lousiana State University. He has also worked as a visiting scientist at Oak Ridge National Lab, Jet Propulsion Lab, Satish Dhawan Professor at IISc and Homi Bhabha Professor at IGCAR, Kalpakkam and University of Paris and visited Tsinghua University, Korea Advanced Institute of Science and Technology (KAIST) etc. His research interests include High-Performance Algorithms, Biomedical Computing, Sensor Fusion, and Intelligent Systems for the last four decades. His research has been funded by the National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Multi-University Research Initiative (MURI Program), Office of Naval Research (ONR), Department of Energy / Oak Ridge National Laboratory (DOE/ORNL), Naval Research Laboratory (NRL), National Aeronautics and Space Administration (NASA), US Army Research Office (URO), and various state agencies and companies. He has served on the US National Science Foundation and National Institute of Health Panels to review proposals in various aspects of Computational Science and has been involved as an external evaluator (ABET-accreditation) for several Computer Science and Engineering Departments across the country and the world. Dr. Iyengar has also served as a research proposal evaluator for the National Academy of Engineering. Dr. Iyengar is developing computational measures for predicting DNA mutations during cancer evolution, using wavelet analysis in cancer genome research, and designing smart biomarkers for bioremediation. His inventions have significantly impacted biomedical engineering and medicine. He recently patented a simple, low-cost device for early intervention in glaucoma, and was involved in early detection of lung cancer by developing a 4D motion model jointly with Southwestern Medical School.

See more about Dr. Iyengar here: Dr. S.S. Iyengar (fiu.edu)

John Stuart has been on the faculty at Florida International University for 30 years, overseeing collaborative innovation spaces focused on 3D printing and volumetric capture. With over three decades in Miami Beach, Stuart is a registered architect heavily involved in the community. He has served for nearly a decade on the Miami Beach Historic Preservation Board, which he currently chairs. Stuart’s interdisciplinary research examines the intersections of design, historic preservation, resilience, and technology. He is working with Dr. Giri Narasimhan on “AI and Miami Beach’s Historic Districts: Developing Tools in Support of a Resilient Urban Future.” Stuart co-chairs an EDUCAUSE Community of Practice study group on AI and ethics as part of an EDUCAUSE framework for AI Literacy and Ethical Guidelines. In 2022, he co-organized “The Inclusive Campus of the Future: DEI, Extended Reality and Student Success in Minority-Serving Institutions,” (ilxr.fiu.edu) featuring international conversations about XR, identity, and the AI technologies that will support them. Recently, Stuart co-chaired FIU’s working group on Mission-aligned Engagement and Partnerships for its 2030 Strategic Plan. His work with graduate architecture students explores resiliency policies and strategies for Miami Beach’s Historic Districts, engaging AI in envisioning the future of equitable, resilient, and sustainable historic communities.

Project 1: AI, Climate Change, and Miami Beach’s Resilient Urban Future
Authors: Giri Narasimhan (FIU), John Stuart (FIU), Debbie Tackett (City of Miami Beach)
Summary: The core functionality of our AI tool will include identifying and cataloging critical architectural features of historic buildings, such as architect, date, size, type, construction materials, design elements, and any permitted updates or changes.
The tool will employ advanced pattern recognition algorithms to analyze large datasets, integrating information from various sources like historical records, architectural databases, environmental databases related to building elevations, tide predictions, sea level rise predictions, and nearby city infrastructure, roads, drains, landscape elements, etc.
Ultimately, this tool will be able to uncover patterns across the city of building structural vulnerabilities and degradation patterns, considering factors like age, materials, historic preservation status, environmental conditions, and the potential for resiliency measures in facades, environmental systems, and land use.
This will help public and private building owners make more informed decisions as they attempt to make our historic neighborhoods more resilient.

Project 2: EDUCAUSE-HP AI Community of Practice
Summary: EDUCAUSE and HP have collaborated to establish a community of practice dedicated to leaders and practitioners who are innovating in their application of artificial intelligence (AI) for teaching and learning purposes.
This community of practice focuses on three key aspects:
– Examining the approach to building and fostering the community itself.
– Reviewing and prioritizing the topics that are most important for discussion within the community.
– Developing and sharing three essential resources created by members of the group:
a. An AI literacy framework that can be adapted and applied to train faculty, staff, or students.
b. An ethical framework to guide campus policies and practices related to AI.
c. Guidelines addressing data privacy concerns in the context of AI implementation.

By participating in this community of practice, members can explore best practices, share insights, and collaborate on the development of resources that support the responsible and effective use of AI in educational settings.

Jong Lee is an assistant professor in the Department of Information Systems and Business Analytics (ISBA) at the College of Business. His current research interests involve examining the socioeconomic impact of emerging technology, including the impact of AI applications in the domains of digital platforms and healthcare. He applies quantitative techniques rooted in economics to address business-related challenges. He received his Ph.D. in Business Administration from Simon Business School at the University of Rochester in 2023, with a focus on Computer Information Systems. He also holds a master’s degree in Industrial Engineering.

Current Projects:

• Quasi-experimental analysis on behavioral differences between humans and social bots
  • Brief Description: Conducting a quasi-experiment to understand how social bots and humans alter their behavior in response to changes in platform expression constraints. This study has meaningful implications for the identification and management of social bots on social media platforms. 

Empirical system security and privacy, Malware Detection, Code Analysis, and Web and Browser Security

Dr. Amin Kharraz research focuses on building systems to facilitate a data-driven approach to security. The primary goal of Dr. Amin is to apply this methodology to rigorously analyze the behavior of online attacks and facilitate developing platforms to discover and mitigate these attacks in a scalable and reliable manner. The problems that Dr. Amin tackles often involve the intersection of society, technology, and security.

See more about Dr. Kharraz here: Amin Kharraz – Research in Systems Security

View Dr. Kharraz’s projects here: Prof. Amin Kharraz Projects

Human-Centered Artificial Intelligence, Virtual Social Agents, Human-Computer Interaction (HCI), Affective Computing, and Virtual Reality 

Dr. Christine Lætitia Lisetti is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University, and the director of the Affective Social Computing Laboratory (ascl.cs.fiu.edu). She received her Ph.D. in computer science from Florida International University in 1995, and in 1996 she was awarded the Individual Research Award from the National Institute of Health (NIH) to conduct her Post-Doctoral Fellowship at Stanford University, jointly in computer science and psychology. She joined FIU from ENST/Sophia, France where she was a professor, and was previously an assistant professor in the Computer Science Department at the University of Central Florida.

Dr. Lisetti’s work on affective social computing aims at creating digital and engaging socially intelligent agents that can interact naturally with humans via expressive multi-modalities in a variety of contexts involving socio-emotional content. Her interests involve research on virtual characters for health communication and behavior change. While in Europe, her research was supported by grants from the European Commission (EC), EUREKA Information Technology for European Advancement (ITEA), the Provence-Alpes Cote d’Azur (PACA) Regional R&D Program, and ST Microelectronics. Dr. Lisetti has received funding from Interval Research Corporation, Intel Corporation, Vcom3D, as well as from Federal funding agencies including the Office of Naval Research (ONR), US Army STRICOM, NASA Ames, the National Institute of Health (NIH), and the National Science Foundation (NSF).

See more about Dr.Lisetti here: Christine Lisetti – Home (fiu.edu)

Modeling and Simulation, Parallel Discrete-Event Simulation, Performance Modeling and Simulation of Computer Systems and Computer Networks

Jason Liu is an Eminent Scholar Chaired Professor at the Knight Foundation School of Computing and Information Sciences, Florida International University (FIU) in Miami, Florida, USA.  Previously, he was a Research Scientist at Dartmouth ISTS in 2003, a Postdoctoral Researcher at University of Illinois, Urbana-Champaign during 2003-2004. He held a honorary position as Visiting Professor at Tsinghua University, China, and was a Visiting Scientist at Los Alamos National Laboratory (LANL) and Université Pierre et Marie Curie (UPMC)/Laboratory of Information, Networking and Communication Sciences (LINCS). Jason Liu received a B.S. degree from Beijing University of Technology in China in 1993, an M.S. degree from College of William and Mary in 2000, and a Ph.D. degree from Dartmouth College in 2003.

Jason Liu’s research focuses on modeling and simulation, parallel discrete-event simulation, performance modeling and simulation of computer systems and computer networks. He currently serves on the Editorial Board of ACM Transactions on Modeling and Computer Simulation (TOMACS), SIMULATION, Transactions of the Society for Modeling and Simulation International, and IEEE Networking Letters. He is also on the Steering Committee of ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS). He served as General Chair or Program Chair for several conferences in related areas. Jason Liu is an NSF CAREER awardee in 2006 and an ACM Distinguished Scientist in 2014. His research has been supported by various funding agencies, including NSF, DOE, DOD, DHS, and NIH.

See more about Dr. Liu here: Home Page – Jason Liu (fiu.edu)

Big Data Analytics, Machine Learning with Special Interest in Deep Learning, and Bioinformatics.

Dr. Ananda Mohan Mondal is currently an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). His research interests include Big Data Analytics, Machine Learning with Special Interest in Deep Learning, and Bioinformatics.

Prior to joining FIU, Dr. Mondal was an Assistant Professor (2012-2018) of Computer Science in the Department of Mathematics and Computer Science at Claflin University, South Carolina. At Claflin University, a liberal arts and primarily undergraduate teaching institute, Dr. Mondal was a strong proponent of bringing research to undergraduate classes he taught. He developed four courses to introduce his research in Big Data and Bioinformatics to undergraduate students at Claflin University. Students mentored by Dr. Mondal graduated with refereed publications in IEEE BIBE, IEEE BIBM, and BIOCOMP. As the culmination of his career at Claflin, Dr. Mondal received the prestigious NSF CAREER Award in 2017. He was tenured and promoted to Associate Professor at Claflin University in August 2018. In Bangladesh, Dr. Mondal served as a Lecturer and then as an Assistant Professor in the Department of Chemical Engineering at Bangladesh University of Engineering and Technology (BUET). He received his Ph.D. in Computer Science and Engineering from the University of South Carolina in 2011.

See more about Dr. Mondal here: Home – Ananda Mondal (fiu.edu)

Algorithms, Bioinformatics, and Data Science

Dr. Narasimhan is a professor in the Knight Foundation School of Computing & Information Sciences at Florida International University (FIU) and is an expert in the area of Algorithms, Bioinformatics, and Data Science. He recently served as the Associate Dean for Research and Graduate Studies in the College of Engineering and Computing. Dr. Narasimhan received a B.Tech. in electrical engineering from the Indian Institute of Technology in Bombay. In 1989 he was awarded a Ph.D. in computer science from the University of Wisconsin, Madison. After being on the faculty in the Department of Mathematical Sciences at the University of Memphis, he joined Florida International University as an associate professor in 2001 and was promoted to full professor in 2004. Dr. Narasimhan heads the Bioinformatics Research Group (BioRG) in Knight Foundation School of Computing & Information Sciences, and is involved in interdisciplinary research collaborating with diverse groups form different disciplines. He has twice won the Excellence in Research Award from SCIS and also the Excellence in Research Award from FIU. He is on the steering committee of the Biomolecular Sciences Institute. He is on the editorial board of international journals and has been a Program Committee member on numerous international conferences. He has given many Keynote addresses at international conferences and is the recipient of many research, training and equipment grants from Federal agencies such as NSF, NIH, and Army Research Office, and State agencies such as the Florida Department of Health, and from the industry.

See more about Dr. Narasimhan here: Prof. Giri Narasimhan (fiu.edu)

View Dr. Narasimhan’s projects here: Prof. Giri Narasimhan Projects

Dr. Ozde Oztekin commenced her academic career at the University of Kansas and currently holds a position as a full professor and an Eminent Scholar at the Florida International University. Dr. Oztekin’s research primarily centers around corporate finance, international finance, and banking. A specific area of interest for her has been understanding the decision-making processes of corporate firms and financial institutions. Recently, Dr. Oztekin has delved into the application of AI in finance. This is highlighted by her work on the role of machine learning models in comprehending capital structure dynamics and her research analyzing the influence of COVID-19 policy responses on local economic and health outcomes. She has been a prolific contributor to various reputable journals and has displayed a strong commitment to quality education, evident from her diverse teaching portfolio that spans across multiple levels and modalities. Beyond her teaching and research roles, Dr. Oztekin is an active participant in the academic community, refereeing for several journals, undertaking editorial responsibilities, and engaging in conference activities.

Publications and Book Chapters:

1. Can machines learn capital structure dynamics?

This project investigates the potential of machine learning models in predicting leverage more accurately than linear models. The study showcases that machine learning models, especially random forests, significantly boost prediction accuracy. These models were found to identify a broader set of leverage determinants, highlighting factors like market-to-book, industry median leverage, cash and equivalents, and more. The research underscored machine learning’s capability to provide a more precise target estimation and emphasize the primary drivers of leverage adjustments.

Links: https://www.sciencedirect.com/science/article/abs/pii/S0929119921001954

2. The impact of COVID-19 and its Policy Responses on Local Economy and Health Conditions

    In collaboration with Ali Gungoraydinoglu and Ilke Oztekin, this research utilizes machine learning techniques to delve into the consequences of U.S. states’ lockdown measures meant to curb the spread of COVID-19. The study aims to unveil the marginal health benefits juxtaposed with the economic ramifications associated with social distancing. Through our analytical models, it was observed that while lockdowns alleviated disease severity, they also precipitated significant economic downturns. The decline in health conditions further impacted the labor supply, financial stability, and overall economic productivity. Interestingly, while the economic fallout from lockdowns surpassed the economic repercussions directly from the disease, health conditions presented a more reliable predictor for economic contractions.

Links: https://www.mdpi.com/1911-8074/14/6/233

3. “Coronavirus Pandemic and its Economic and Human Capital Costs in US States”

This book chapter expands upon a previous study, exploring the balance between health outcomes and economic impacts in US states during the COVID-19 pandemic. Machine learning assessment indicated that disease severity is a stronger predictor of real local economic contraction than mandatory social distancing policy measures. The research underlines how state policy measures and health conditions influenced unemployment, business bankruptcy, and overall economic activity.

Links: https://stm.bookpi.org/NIEBM-V3/article/view/5069

Augmented Reality based Networks, Internet of Things

Dr. Pissinou has published over two hundred and fifty research papers in peer reviewed journals, conference proceedings and books chapters on networking, telecommunications, distributed systems, mobile computing, security and aspects of nontraditional data management including co-editing over four texts in the area of mobile and wireless networking and systems and over fourteen IEEE and ACM conference volumes. Widely cited in books and research papers, her research has been funded by NSF, DHS, NASA, DOT, DoD, state governments and industry. She has graduated over nineteen Ph.D. students who now hold positions in academia, federal government and industry. Dr. Pissinou has served as the general and technical program chair on a variety of ACM and IEEE conferences. She also served on hundreds of IEEE and ACM program committees, organizing committees, review panels, advisory boards, editorial boards etc. She has served as an editor of many journals including the IEEE Transactions on Data and Knowledge Engineering. She also has been the founder of many professional forums, including the ACM GIS. Dr. Pissinou has given keynote talks at various events and served as consultant to industry. Her achievements have been recognized by her peers, who have given her several awards and honors, including best paper awards.

Dr. Agoritsa Polyzou is an Assistant Professor of Computer Science in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). Before joining FIU, she was a postdoctoral Fritz family fellow in the Massive Data Institute (MDI) of McCourt School of Public Policy at Georgetown University. She received her Ph.D. in Computer Science and Engineering from the University of Minnesota in 2020, and her Bachelor in Computer Engineering and Informatics from the University of Patras, Greece. She is engaging in projects at the intersection of big data, machine learning, ethics, and fairness. Her research interests include data mining, recommender systems, the application of machine learning techniques within educational contexts, and the fairness concerns that arise from their use. Her goal is to help students succeed using data and machine learning models. At the same time, she is interested in ensuring that such models will be fair and responsible.

Dr. Esmaeil Zadeh has established a line of research at the intersection of information systems and health informatics, focusing on the impact of health information technology (HIT) and emerging technologies on the performance of health systems, improving the quality and efficiency of care delivery and enhancing the engagement of patients in managing their care. His main research objective is to study various HIT systems to offer technological solutions for enhancing health information exchange (HIE) across providers, care coordination, healthcare providers’ workflows, system security, patient safety, the completeness and accuracy of medical records, and healthcare interoperability standards. He is also interested in other research domains, including Nonfungible Tokens (NFTs), blockchain-based platforms, Artificial Intelligence (AI) and Machine Learning (ML), Robotics, Health app development, and Metaverse. His work appears in premier Information Systems and Health Informatics journals such as Information and Management, International Journal of Medical Informatics, Journal of Medical Internet Research, Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making, Communications of the Association for Information Systems, Computers and Security, Information Technology & People, and Methods of Information in Medicine. He was appointed to a Knight-Ridder Center Research Fellowship in August 2021. He also received the Fulbright Award from the Canada-US Fulbright Program for the 2022-2023 academic year.

Distributed Sensor Networks, Grid Computing, Computer Networks, Image Processing for Spatial Data, Multimedia Databases

Dr. Prabakar developed a scheme to access vast amount of spatial data from a semantic database and flyover the data in real-time – this emerged as TerraFly software from High Performance Database Research Center, FIU. He has also designed dynamic mosaicking algorithms for spatial images and integrated vector GIS data with spatial data sets. Towards external funding, eight grant proposals were funded for a total amount of $13.7M with Dr. Prabakar’s role in these proposals as Principal Investigator, Co-Investigator, or Senior Investigator. Currently, Dr. Prabakar is working with a team of his colleagues on a fault-tolerant distributed computing grid with large number of sensors.

See more about Dr. Prabakar here: Prabu’s Home Page (fiu.edu)

Machine Learning 

Raju Rangaswami is Eminent Scholar Chaired Professor at the Knight School of Computing and Information Sciences at Florida International University in Miami, FL where he directs the Systems Research Laboratory. He received his B.Tech. degree in Computer Science from the Indian Institute of Technology, Kharagpur, and a Ph.D. degree in Computer Science from the University of California, Santa Barbara where he worked on building real-time storage systems for streaming multimedia applications. Raju’s current research targets next-generation enterprise and cloud computing systems with a focus on building scalable storage and memory solutions for data-intensive workloads. Raju has served as Program Chair for top storage research venues such as USENIX FAST and USENIX HotStorage. He has received CAREER awards from the National Science Foundation and the Department of Energy for his work on storage systems. His research is supported by awards and gifts from industry including an IBM Faculty Award, Intel ISRA award, NetApp Faculty Fellowships, and a Seagate Corporation gift. He has received the FIU Faculty Award for Excellence in Research and Creative Activities. 

See more about Dr. Rangaswami here: Raju Rangaswami (fiu.edu)

View Dr. Rangaswami’s projects here: Prof. Raju Rangaswami Projects

Aquatic Robots, Persistent Ocean Monitoring, Artificial Intelligence

Dr. Gregory Murad Reis received his Ph.D. degree in Computer Science at Florida International University in 2018, and his Master’s degree in Systems Engineering and his Bachelor’s degree in Computer Science from Federal University of Lavras, Brazil, in 2014 and 2012, respectively.

He completed his Ph.D. as a Science without Borders fellow, sponsored by federal agencies NSF, ONR, CAPES, and LASPAU (Harvard University).

With 19 years of experience in teaching, Dr. Reis has taught Mathematics and Computer Science courses for several undergraduate programs and schools. Moreover, he has experience in early, elderly and special education. In his career, Gregory has mentored over fifty students, including high school teachers and undergraduate and master’s students in several programs, such as Science without Borders’s Summer Research Program, NSF’s Research Experience for Undergraduates (REU) and NSF’s Research Experience for Teachers (RET).

Gregory has published several papers in conferences and journals. His current research interests are centered on the challenges of marine robotics and STEM Education. Key problems he has addressed so far include localization and navigation of aquatic robots in GPS-denied environments, analysis of the spatiotemporal dynamics of the ocean, and the development of new technologies for environmental monitoring.

Gregory has also served as the Robotics Coach for the Ultimate Software Academy for Computer Science Education for over 4 years, teaching professional development courses in robotics and coding for K-12 teachers in the Miami-Dade County Public Schools (M-DCPS). He is currently transforming the K-12 curriculum by including project-based robotics activities and competitions.

See more about Dr. Reis here: Gregory Reis

View Dr. Reis’ projects here: Prof. Gregory Murad Reis Projects

Geographic Information Systems, Database Management, Health Informatics

Dr. Rishe has authored 6 books and edited 7 books on database management, location-based data, health informatics, and high performance computing. He is the inventor of 8 U.S. patents on database querying, semantic database performance, Internet data extraction, and computer medicine. Rishe has authored 300 papers in journals and proceedings on databases, software engineering, Geographic Information Systems, Internet, and life sciences. He was awarded over $55 million in research grants by Government and Industry, including NSF, NASA, IBM, DoI, DHS, USGS. Rishe is the Founder and Director of the High-Performance Database Research Center at FIU (HPDRC) and of the NSF International FIU-FAU-Dubna-Greenwich Industry-University Cooperative Research Center for Advanced Knowledge Enablement (I/UCRC). Rishe is the inaugural FIU Outstanding University Professor and Eminent Chair Professor in Computer Science.

See more about Dr. Rishe here: Dr. Naphtali David Rishe (fiu.edu)

Parallel Algorithms, Big Data, HPC, and Computational Systems Biology

Fahad Saeed is a tenured Associate Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU), Miami FL and is the director of Saeed Lab which is a parallel computing and data science group (https://saeedlab.cis.fiu.edu/). His research interests include parallel and distributed algorithms and architectures, computational proteomics, genomics, connectomics and big data problems in computational biology and bioinformatics.

Prior to joining FIU, Prof. Saeed was an Assistant Professor (2014-2018) in the Department of Electrical & Computer Engineering and Department of Computer Science at Western Michigan University (WMU), Kalamazoo Michigan. He was tenured and promoted to the rank of Associate Professor at WMU in July 2018. Dr. Saeed was a Post-Doctoral Fellow and then a Research Fellow in the Systems Biology Center at National Institutes of Health (NIH), Bethesda MD from Aug 2010 to January 2014. He received his PhD in the Department of Electrical and Computer Engineering, University of Illinois at Chicago (UIC) in 2010.

See more about Dr.Saeed here: About me – Dr. Fahad Saeed

Smart Grids, Large-Scale Data Analysis, Advance Metering Infrastructure, Smart City Infrastructure and Cybersecurity

Dr. Arif Sarwat is a professor in the department of Electrical and Computer Engineering and also the Director of FIU-FPL Solar Research Center. Dr. Sarwat received his master’s degree from University of Florida, Gainesville, his Ph.D. from University of South Florida, Tampa and currently leads The Energy, Power and Sustainability Group at FIU. Dr. Sarwat’s research interests include smart grids, Plug-in Hybrid and Electric Vehicle (PHEV & EV Systems), high penetration renewable systems, grid resiliency, large-scale data analysis, advance metering infrastructure, smart city infrastructure and cybersecurity. His outstanding contribution led him to become the recipient of NSF Career Award in 2016 and multiple federal and industry research awards. He was the author/co-author of conference best paper awards at the resilience week in 2017 and a journal best paper award in 2016 from Modern Power Systems and Clean Energy journal. Dr. Sarwat worked at Siemens for more than nine years, winning three recognition awards. He is chair of IEEE Miami Section VT and Communication since 2012.

See more about Dr. Sarwat here: Arif Sarwat – People – ECE – Florida International University

Security and privacy of IoT/CPS, ransomware, malware, forensics and their applications to AI/ML, adversarial ML

Applied Machine Learning, Internet of Things, Cyber-Physical Systems, Network Security and Wireless Networking

Dr. Mo Sha is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). Before joining FIU, he was an Assistant Professor in the Department of Computer Science at Binghamton University – State University of New York. His research interests include wireless networking, Internet of Things, applied machine learning, network security, and cyber-physical systems. He published more than 50 research papers, served on the technical program committees of 16 premier conferences, and reviewed paper for 21 journals. He received the NSF CAREER award in 2021, the NSF CRII award in 2017, and the Educator of the Year in Computer Science award and the Career Champion award at Binghamton University in 2018. He is a senior member of IEEE, a senior and lifetime member of ACM, and a member of Sigma Xi.

See more about Dr.Sha here: Mo Sha’s Homepage (fiu.edu)

View Dr.Sha projects here: Prof. Mo Sha Projects

Dr. Usman studies consumers’ responses to new technologies in marketing using experimental research designs. He is currently working on projects related to generative AIs and has published an article on Behavioral Research on AI in Marketing recently in Foundations and Trends in Marketing.

Projects:

• Artificial Intelligence in Marketing and Consumer Behavior Research
  • Brief Description: This project reviewed the behavioral research on AI in marketing and presented a synthesis of what the current trends are, including the predominant dependent variables being measured by researchers, theories being used to explain the findings and the types of behavioral research design used in the research. The manuscript concludes with our key observations and identifies future research directions, raises interesting questions that are yet to be answered by behavioral research on AI in marketing, and suggests means to enhance the methodology and behavioral research designs currently being used in marketing.
    View Article: TaeWoo Kim, Umair Usman, Aaron Garvey and Adam Duhachek (2023), “Artificial Intelligence in Marketing and Consumer Behavior Research”, Foundations and Trends® in Marketing: Vol. 18: No. 1, pp 1-93.

• The Persuasive Power of AI Ingratiation: A Persuasion Knowledge Theory Perspective
  • Brief Description:  This research examines the emerging marketing tactic of AI ingratiation of humans and reveals that AI ingratiation leads to increased consumer acceptance of product recommendations. Using behavioral experiments, including online studies and a real human-AI interaction, we show that these ingratiation effects are moderated by the extent to which AI is anthropomorphized. Our findings advance the current knowledge about human-AI interaction in consumption contexts and finds support for our hypotheses based on the Persuasion Knowledge Model and Anthropomorphism literature. Specifically, we find that consumers perceive ingratiation by human-like (vs. machine-like) AI systems to be more driven by ulterior motives, thereby activating consumer defense mechanisms against ingratiation attempts. Our theory and findings elucidate how AI design features serve to strengthen or weaken consumer resistance to persuasion.

Artificial Intelligence, Big data, Cyber Analytics/Visualization, Malware Analysis and Blockchain

Dr. Himanshu Upadhyay is serving Florida International University’s Applied Research Center as Principal Scientist for the past 18 years, overseeing the Applied Artificial Intelligence / Cybersecurity / IT research group. He is also an adjunct professor in the College of Electrical and Computer Engineering teaching Applied Artificial Intelligence and Cybersecurity courses.

See more about Dr.Upadhyay here: Himanshu Upadhyay (fiu.edu)

Dr. Lassar is a Professor of Marketing and holds the Ryder Systems Professor chair at Florida International University. After a 13-year business career holding various marketing and management positions in the U.S. and in Europe Dr. Lassar started his academic career in marketing. Dr. Lassar earned his Ph.D. and MBA degrees from the University of Southern California. A native of Germany, he also holds a degree in Industrial Engineering (Dipl.-Ing.) with a double major in mechanical engineering and business administration from the Technische Universität Berlin, Germany.  

Dr. Lassar taught and researched on four continents with stops at the London Business School, the Owen Graduate School of Management at Vanderbilt University, the Whittemore School of Business and Economics at the University of New Hampshire, and the University of Miami. In August 1998 he joined Florida International University where he served as the Associate Dean for the Alvah H. Chapman Jr. Graduate School of business, the Chair of the Marketing Department, the Director of the Ryder Center for Supply Chain Management and the Academic Director for the Executive MBA program. 

His research focuses on services marketing and marketing strategy in value chains as well as value issues complex business-to-business relationships and sustainability.  His research projects integrate domestic and international business dimensions with consideration of disruptive innovation aspects. His work has been published in the Journal of Marketing, Journal of Business Logistics, Journal of Business Research, Journal of Retailing, Journal of Business Ethics, Journal of Business Venturing and the Strategic Management Journal among others.  

Projects:

• Humanoid robots in home healthcare and their impact on perceived wellbeing
  • Brief Description: The presence of robots in the services industry is transforming the way we experience customer service. Service robots can be utilized to improve customer experience, service quality, and productivity all at once because to their integration with artificial intelligence (AI) and increasingly cost-efficient and scalable nature.  Our research aims to shed light on the advantages and disadvantages of utilizing service robots in healthcare settings by examining the effect of service robots on patients’ well-being. As a result, healthcare practitioners may be better equipped to decide whether to use service robots in their facilities. In addition, this would help comprehend how social cognition and resistance to service robots relates to the well-being of customers when it comes to service robots.
    Read more: Meet Grace, the ultra-lifelike nurse robot