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Ahmed Mousa
Dr. Ahmed Mousa's experience/achievements include:
CEO/founder of two international consulting companies: Electric Bridge Consulting and 100% Energy Club
Utility of the Future manager @ PSEG
Adjunct professor, author of six (6) books, & several Professional Engineering (PE) Courses
Active member on seven (7) boards, and Smart Electric Power Alliance (SEPA) cybersecurity working group chair
IEEE emerging technologies adviser
20+ years of experience at Con Edison, PSE&G, PEPCO, and First Energy
Con Edison Distribution Engineering ALVA Award for 21st Century Leader
IEEE Outstanding Engineer Award
Qiaoyan Yu
Dr. Qiaoyan Yu is a Program Director at the Division of Computer and Information Science & Engineering (CISE), Secure & Trustworthy Cyberspace (SaTC) Program. She is also a Professor of Electrical and Computer Engineering at the University of New Hampshire, where she directs the Reliable & Secure VLSI Systems Laboratory and the New Hampshire Cyber Security Enhanced Education Laboratory (NHCyberSEE Lab). Dr. Yu received her B.S. from Xidian University (2002), M.S. in Communication and Information Engineering from Zhejiang University (2005), and the Ph.D. in Electrical and Computer Engineering from the University of Rochester (2011). Dr. Yu’s research expertise includes hardware security with special emphases on integrated circuit security, FPGA security, embedded system security, Internet-of-Things (IoT) security, approximate computing security, and Networks-on-Chip architecture for fault tolerance and error management.
Dr. Yu received the NSF CAREER Award and the Air Force Research Lab Faculty Fellowship in 2017. Her work was also supported by Semiconductor Research Corporation (SRC) and UNH NSF Nanomanufacturing Center. She received the Best Poster Award at GLSVLSI’24, ISVLSI’16, Best Paper Award Finalist in MWSCAS’15, Best Paper Award Finalist in NOCS’11, and the Best ECE Ph.D. Dissertation Award at the University of Rochester in 2011. She received the Excellence in Teaching Award at UNH in 2015. She has served on the technical program committees of HOST, Asian HOST, DAC, ASP-DAC, GLSVLSI, ISVLSI, DFT, ISCAS, MWSCAS, and ICCD.
Philip Odonkor
Dr. Philip Odonkor is the Director of the Design Informatics Lab and an Assistant Professor in the Department of Systems and Enterprises at Stevens. In 2024, he was awarded an NSF CAREER award to investigate how groups of buildings can cooperate to advance energy sustainability and equity in cities. His research and teaching centers on urban informatics, smart cities, socio-technical modeling, simulation, and control. Dr. Odonkor is a member of several professional organizations including IEEE, ASME, and ACM. He also co-founded Grid Discovery, an energy tech start-up building data-driven solutions for microgrid feasibility assessments. Dr. Odonkor's research has appeared in several journals, his ideas have been featured on the TEDx stage as well as in Time Magazine. He aims to not only advance urban sustainability through his research, but also equip the next generation of urban scientists and planners to create smarter, more livable cities.
Nikhil Muralidhar
Dr. Nikhil Muralidhar is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology, where he directs the Scientific AI (ScAI) lab that conducts research to develop novel data mining, machine learning solutions to problems of scientific and societal relevance. A key focus area of Dr. Muralidhar's research is to develop knowledge-guided machine learning (KGML) techniques to address problems in fluid dynamics, disease modeling, cyber-physical systems, quantum mechanics and nuclear engineering. His research has been published in several top conferences and journals including IJCAI, IEEE ICDM, ACL, COLM, SIAM SDM, ACM TIST, Physics of Fluids. Dr. Muralidhar's research work has received several awards including first place in the COVID-19 Symptom Data Challenge organized by Catalyst Health & Facebook in 2020 and second place in the COVID-19 Grand Challenge Hosted by C3.ai in 2020. Dr. Muralidhar has also received the award for academic excellence at George Mason University in 2015. Dr. Muralidhar is a reviewer for multiple top conferences including ICML, ICLR, NeurIPS, SIAM SDM, IEEE Big Data. He has also co-authored a book chapter for the book titled: Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data . Dr. Muralidhar obtained his Ph.D degree in computer science from Virginia Tech in 2022 under the guidance of Prof. Naren Ramakrishnan and Prof. Anuj Karpatne. He completed his M.S. degree in computer science from George Mason University in 2015 and his B.S. degree in Computer Science from Virginia Tech in 2012.
Guiling "Grace" Wang
Prof. Guiling "Grace" Wang, Ph.D., CFA, is the Distinguished Professor of Computer Science and serves as the Associate Dean for Research at the Ying Wu College of Computing, New Jersey Institute of Technology (NJIT). She established the AI Center for Research at NJIT, serving as its Founding Director, and played a pivotal role in launching NJIT’s MS in AI program. Prof. Wang has been honored as a Fellow of the IEEE, notable for being the first female IEEE Fellow at NJIT and is also a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). Her expertise in AI and Blockchain has been applied to solving complex issues in various fields, such as intelligent transportation and smart city. Her pioneering research using deep reinforcement learning for urban traffic light cycle optimization received the IEEE Vehicular Technology Society’s 2023 Best Paper Award. In 2020, her project on a decentralized smart vehicle credential management system using consortium blockchain was recognized as one of four national awardees by the Exploratory Advanced Research (EAR) program of DOT FHWA, selected from 122 submissions.
Beyond her academic responsibilities, Prof. Wang is actively involved in governmental advisory roles. She is the only academic representative on the New Jersey Supreme Court Committee on Artificial Intelligence and the Courts. Additionally, she contributes her expertise to the New Jersey Governor’s AI Taskforce AI Innovation group as the sole academic professor. She also serves on the New Jersey Supreme Court Advisory Committee on Access and Fairness, highlighting her commitment to leveraging technology for societal benefits. Additionally, she serves as a Subject Matter Expert in AI for the SAGE program of the US Department of Homeland Security.
Wenjia Li
Dr. Wenjia Li is an Associate Professor at the CoECS at NYIT. His main research focuses are on cybersecurity, networking, and mobile computing. He studies trust management policies in wireless networks; cyber-physical systems (such as intelligent transportation systems); the internet of things; and Android mobile devices. Dr. Li's research has been supported by the National Institute of Health (NIH), US Department of Transportation (USDOT). He has published over 100 papers in various international journals and conferences. Dr. Li was a recipient of the 2019 IEEE Region 1 Technological Innovation (Academic) Award. He also received the NYIT Presidential Award for Student Engagement in Research, Scholarship, or Creative Activities in 2020.
Dr. Li obtained the PhD degree in Computer Science from University of Maryland Baltimore County (UMBC) in 2011. He has served on the organizing and program committee for various international conferences, such as IEEE INFOCOM, IEEE GLOBECOM, IEEE ICC, IEEE WCNC, IEEE IPCCC, IEEE VTC, IEEE MDM, and so on. In addition, Li has reviewed papers for many top-tier peer-reviewed journals. He is an EAI Fellow, a senior member of IEEE, and a member of ACM.
Thitima Srivatanakul
Dr. Thitima Srivatanakul is an Assistant Professor in the Department of Mathematics & Computer Science at York College, CUNY. She earned her Ph.D. in Computer Science in 2005 and her Master's degree in Software Engineering in 2001, both from the University of York, UK. Dr. Srivatanakul specializes in Cyber Security and Cyber Security Education, Computer Science Education, Game-based Learning, and Software Engineering. She serves as the Principal Investigator (PI) for both the NSF S-STEM Scholarship Program and the NSA/NSF-funded GenCyber Program at York College. In 2020, she and her colleagues secured a five-year grant totaling $1,361,880 from the New York State Education Department (NYSED) to administer the Science and Technology Entry Program (STEP) at the college.
Dr. Srivatanakul actively mentors undergraduate students through various programs at York College, including independent study courses, and the York Summer Research Program. She is also a member of the Blockchain Accelerator Advisory Board at the Tech Incubator at Queens College and the Open Web Application Security Project (OWASP) Foundation. Additionally, she serves on the Advisory Board for the Office of Undergraduate Research at York College.
Shirantha Welikala
Dr. Shirantha Welikala is currently an Assistant Professor in the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA (joined Fall 2023). He received the B.Sc. degree in Electrical and Electronic Engineering from the University of Peradeniya, Peradeniya, Sri Lanka, in 2015 and the M.Sc. and the Ph.D. degrees in Systems Engineering from Boston University, Brookline, MA, USA, in 2019 and 2021, respectively. From 2015 to 2017, he was a Temporary Instructor/Research Assistant in the Department of Electrical and Electronic Engineering at the University of Peradeniya, Sri Lanka. From 2021 to 2023, he was a Postdoctoral Research Fellow in the Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA. His main research interests include control and optimization of cooperative multi-agent systems, control of networked systems, passivity-based control, control and topology co-design, machine-learning, robotics, and smart grid. He has received several awards, including the 2015 Ceylon Electricity Board Gold Medal, the 2019 and 2023 President's Awards for Scientific Research in Sri Lanka, the 2021 Outstanding Ph.D. Dissertation Award in Systems Engineering at Boston University and the 2022 Best Paper Award at the 30th Mediterranean Conference on Control and Automation held in Athens, Greece. For more information, please visit http://www.shiranthawelikala.com.
Christo Kurisummoottil Thomas
Dr. Christo Kurisummoottil Thomas is a postdoctoral fellow at the Electrical and Computer Engineering Department at Virginia Tech. He received his PhD from EURECOM, France, in the year 2020. He also has a few years of industrial experience with Qualcomm, Intel, and Broadcom, developing physical layer algorithms for 4G and 5G wireless modem devices. His research interests include building reasoning-native semantic communications for next-generation networks, generalizable and explainable AI for wireless systems, and variational Bayesian inference. His research has led to several publications in journals such as IEEE TWC, JSAIT, VTM, OJCOMS, and IEEE conferences such as GLOBECOM, ICC, ICASSP, and many others. He was a recipient of the best student paper award at IEEE SPAWC 2018, Kalamata, Greece, and received third prize for his team titled “Learned Chester” during ML5G-PHY channel estimation challenge, as part of the ITU AI/ML in 5G challenge, conducted at NCSU, US, 2020. He had delivered multiple tutorials on approximate Bayesian inference techniques at several IEEE conferences such as ICASSP and EUSIPCO.
Shobhan Kapuganti
Shobhan Kapuganti is the Manager of Operational Technology (OT) Security, responsible for providing governance, oversight, and cyber risk management of the OT systems at PSEG. Shobhan holds a Bachelor of Engineering from National Institute of Technology, Trichy, India and a Master of Science in Information Systems from Stevens Institute of Technology. He is also a certified Global Industrial Cyber Security Professional (GICSP) and Project Management Professional (PMP).
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