OASIS Team

Dr. Rashmi Jha will serve as  PI on this project. In her role, she will work with the project manager and Instructors to ensure that the overall objective of the curriculum development and training needs are accomplished. She will lead theme-2 (Semiconductor Devices, Process Technology, and Testing) and work with other theme leads to ensure that the planned courses are offered and necessary changes are made based on Continuous Quality Improvement and student/instructor feedback and needs of Intel. She will work on organizing two meetings with IAB members per year (one virtual and one Face-to-Face with workshop) to seek feedback. She will also ensure timely submission of project reports.

Dr. Rashmi Jha is a Professor in Electrical and Computer Engineering (ECE) Department at the University of Cincinnati. She worked as a Process Integration Engineer for high-k/metal gate stacks in Advanced CMOS technologies (45nm/32nm/22nm) at IBM Semiconductor Research and Development Center (SRDC), East Fishkill NY in state of the art 300 mm Fabrication facility prior to moving to the academia. She finished her Ph.D. and M.S. in Electrical Engineering from North Carolina State University in 2006 and 2003, respectively, and B.Tech. in Electrical Engineering from IIT Kharagpur, India in 2000. She has been granted 13 US patents and has authored/co-authored several publications. She has been a recipient of Summer Faculty Fellowship Award from AFRL/AFOSR in 2021 and 2017, CAREER Award from the National Science Foundation (NSF) in 2013, IBM Faculty Award in 2012, and IBM Invention Achievement Award in 2007. Her current research interests lie in the areas of Emerging Logic and Memory Devices such as Resistive Random Access Memory Devices (RRAM), Selector Diodes, Ferroelectric Field Effect Transistors (FeFETs), BEOL-Compatible Thin-Film Transistors, In-Memory Computing, and Neuromorphic Computing.

1. E. Herrmann, A. Rush, T. Bailey and R. Jha, "Gate Controlled Three-Terminal Metal Oxide Memristor," in IEEE Electron Device Letters, vol. 39, no. 4, pp. 500-503, April 2018, doi: 10.1109/LED.2018.2806188.
2. Mayersky, J., Hilton, A., Pacley, S., Jha, R.,  “Investigation and characterization of the annealing effects on the ferroelectric behavior of PLD BaTiO3”, MRS Communications 11, 288–294 (2021).
3. Siddharth Barve, Joshua Mayersky, Andrew J. Ford; Alexander Jones, Bayley King, Aaron Ruen, Rashmi Jha, “NeuroSOFM: A Neuromorphic Self-Organizing Feature Map Heterogeneously Integrating RRAM and FeFET," in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, vol. 7, no. 2, pp. 97-105, Dec. 2021, doi: 10.1109/JXCDC.2021.3119489.
4. Alex Jones, Rashmi Jha, "A Compact Gated-Synapse Model for Neuromorphic Circuits", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020. DOI: 10.1109/TCAD.2020.3028534.
5. T.J. Bailey, R. Jha, “Understanding Synaptic Mechanisms in SrTiO3 RRAM Devices”, IEEE Transactions on Electron Devices, Vol. 65, No. 8, 2018. DOI: 10.1109/TED.2018.2847413.
6. Wenbo Chen, Wenchao Lu, Branden Long, Yibo Li, David Gilmer, Gennadi Bersuker, Swarup Bhunia, and Rashmi Jha, “Switching characteristics of W/Zr/HfO2/TiN ReRAM devices for multi-level cell non-volatile memory applications”, IOP Semiconductor Science and Technology, Vol.30, Iss.7, 2015.

1. M. Cahay, M. Emmert, Z. Fuchs, J. Kim, O. Ma, D. Kim, C. McGhan, and M. Kumar at UC-Main Campus and Christopher Goodman at UC-Clermont, “Post-Secondary Workforce Development for Advanced Manufacturing and Robotics in the Cyber Age”, Regionally Aligned Priorities in Delivering Skills (RAPIDs), Ohio, $325,054. April 21, 2020 – June 30, 2022.
2. Richard Harknett (PI), Hazem Said, Marc Cahay, project: Third Frontier “Ohio Cyber Range Institute: Regional Programming Centers” grant, Ohio Department of Education, $997,502, period: FY 20-21.
3. Chengcheng Li, Bekah Michaels, Hazem Said, Marty Emmert, and Marc Cahay, Cybersecurity Scholar Incubator at University of Cincinnati (CSI:UC), Scholarship For Services, National Science Foundation, $3,999,999, period: July 1, 2021 – June 30, 2026.
4. M. Cahay, V. Novak, Ou Ma, S. Anand, F. Rybicki, S. Riley, and J. Ellis, “Post-Secondary Workforce Development for Advanced Manufacturing and Robotics in the Cyber Age”, Regionally Aligned Priorities in Delivering Skills (RAPIDs5), Ohio, $308,752. October 1, 2021 – September 30, 2023.
5. M. Cahay and  S. Bandyopadhay, Practical Problems in Quantum Mechanics, for Materials Engineers, Applied Physics, and Device Engineers, Wiley (2016).
6. S. Bandyopadhyay and M. Cahay, Introduction to Spintronics, CRC BookPress - Taylor and Francis (2015) (snd edition).

1. J. M. Emmert, A. Perumalla, T. Hudson, and L. Concha, “THx2 Programmable Logic Block Architecture for Clockless Asynchronous FPGAs,” (to appear) IEEE Transactions on Circuits and Systems I (TCAS-I), 2022.
2. J. M. Emmert and S. VanDewerker, “EMC: Efficient Muller C-Element Implementation for High Bit-width Asynchronous Applications,” 20201IEEE Mid-West Symposium on Circuits and Systems, August 2021.
3.  J. M. Emmert, A. Perumalla, and L. Concha, “An Asynchronous FPGA THx2 Programmable Cell for Mitigating Side-Channel Attacks,” 2020 IEEE Mid-West Symposium on Circuits and Systems, August 2020.
4.  J. M. Emmert and A. Perumalla, “An Asynchronous MPGA THx2 Cell and Architecture for Mitigating Side-Channel Attacks,” 2019 IEEE National Aerospace and Electronics Conference, August 2019.
5. M. Abramovici, C. E. Stroud, and J. M. Emmert, “Using Embedded FPGAs for SoC Yield Enhancement,” Proceedings of the 2002 ACM/IEEE Design Automation Conference, 2002.
6. J. M. Emmert, S. Fischer, and B. Vincent, “NSF CHEST IUCRC: Case Study for Leveraging NSF IUCRCs for R&D,” 2019 IEEE National Aerospace and Electronics Conference, August 2019.

Prof. Subhashani Ganapathy- Associate professor & Chair, Department of Biomedical, Industrial and Human Factors Engineering, Wright State University. She directs the Interactions Design and Modeling Lab. Her research focuses on core areas of mobile computing, cognitive modeling, decision making, user-experience, and human factors engineering. She possesses a comprehensive, in-depth knowledge of industrial engineering, human interaction, experimental design, and user-experience testing methodologies. She has a track record of developing successful, customized software-based learning tools, including serving as the senior researcher for the Intel Corporation team which developed Classmate PC, a sensor-enhanced laptop. Dr. Ganapathy has worked on defining user interaction for future technologies such as investigating how different multimodal interaction techniques support effective interaction and learning in consumer products, and how novel interaction modalities can enhance the traditional experience. She has three patents in the field of mobile augmented reality. Dr. Ganapathy also has more than 12 years of research experience in model-based aiding, human behavioral modeling, and adaptive user interface design.

1. Stone, P. B, Jessup, S. A., Ganapathy, S., Harel, A. (Accepted, with minor revisions, 2021). Design Thinking Framework for Integration of Transparency Measures in Time-Critical Decision Support International Journal of Human-Computer Interaction (IJHCI) Special Issue on Transparent Human-Agent Communications.
2. Stone, P. B., Nelson, H. M., Fendley, M. E., & Ganapathy, S. (2021). Development of a novel hybrid cognitive model validation framework for implementation under COVID-19 restrictions. Human Factors & Ergonomics in Manufacturing & Service Industries, 31(4), 360–374. 
3. Clouse C., Ewer, M. W., French, D., Gallimore, J., Ganapathy, S., (2021)Immersive Rehearsal in a Simulated Environment, Military Medicine, Volume 186, Pages 184–189, https://doi.org/10.1093/milmed/usaa419
4. Farris, K, Ganapathy, S., Fendley, M. (2020) Presenting Trends In Petrochemical Process Control Systems, WSEAS Transactions on Computers, Volume 19, 194-200.
5. Abhyankar, K. & Ganapathy, S. (2014). Technology-enhanced learning analytics system design for engineering education. International Journal of Information and Education Technology, 4 (4), 345-350

1. M. Horvath and B. Rigling. "Performance prediction of quantized SAR ATR algorithms." IEEE Transactions on Aerospace and Electronic Systems 52.1 (2016): 189-204.
2. M. Scherreik and B. Rigling, "Open set recognition for automatic target classification with rejection." IEEE Transactions on Aerospace and Electronic Systems 52.2 (2016): 632-642.
3. A. Jones, B. Rigling and M. Rangaswamy, "Signal-to-interference-plus-noise-ratio analysis for constrained radar waveforms." IEEE Transactions on Aerospace and Electronic Systems 52.5 (2016): 2230-2241.
4. L. Gorham and B. Rigling, "Fast corrections for polar format algorithm with a curved flight path." IEEE Transactions on Aerospace and Electronic Systems, 52.6 (2016): 2815-2824.
5. A. Jones, B. Rigling and M. Rangaswamy, “Subspace Approach to Performance Modelling of Range-Sidelobe Suppressed Waveforms,”  IET Radar, Sonar & Navigation, 11.3 (2017): 466-473.
6. M. Scherreik and B. Rigling, “New Phase Error Corrections for PFA with Squinted SAR,” IEEE Transactions on Aerospace and Electronic Systems, 53.5 (2017): 2637-2641.

Prof. Kumar Vikram Singh – Dr. Singh is a Professor and Graduate Program Director in the Department of Mechanical and Manufacturing Engineering at Miami University in Ohio.  He has received his B.E. (1997) from Birla Institute in Technology, Mesra, India in Mechanical Engineering and his Ph.D. in Mechanical Engineering from Louisiana State University (LSU) in May 2003. He joined Miami in 2006 after serving as a post-doctoral research associate for three years at LSU. His research focuses on inverse eigenvalue problems related to multidisciplinary areas of vibration, aeroelastic control, structural health monitoring, rotordynamics, smart materials and composite structures. He is currently leading two major projects to recruit and mentor low income and diverse students in STEM areas.

1. Singh K.V. and Khan, F., “Dynamic Characterization and Vibration Performance of Polymeric Composite Structures”, Encyclopedia of Materials: Plastics and Polymers - Reference Module in Materials Science and Materials Engineering, Elsevier, 2022.
2. Veta, J.*, Singh, K. V., and Bhattacharya, A., “Study Correlating Lead (Pb) Level Exposure and Bone Shock Absorption Capacity Based on Damping Associated with Higher Modes of Vibration”, ASME Journal of Engineering and Science in Medical Diagnostics and Therapy, 4(3), pp. 034501-6, 2021
3. Singh K.V., “Active Control with the Method of Receptances: Recent Progresses and Its Application in Active Aeroelastic Control”, Mathematical Modelling and Scientific Computing with Applications, Manna S., Datta B., Ahmad S. (eds), Springer Proceedings in Mathematics & Statistics, vol 308. Springer, Singapore, 2020.
4. Singh, K. V., Black, C.*, and Kolonay, R., “Active Aeroelastic Output Feedback Control with Partial Measurements by the Method of Receptances”, Aerospace Science and Technology, 86, pp. 47-63, 2019.
5. Singh, K. V., and Ling, X.*, “Active control of viscoelastic systems by the method of receptance”, Journal of Vibration and Acoustics- Transactions of the ASME, 140 pp. 024501-1 - 024501-6, 2018.
6. Khan, F., and Singh, K. V., “Curricular improvements through computation and experiment based learning modules”, Advances in Engineering Education, 4(4), pp. 1-19, 2015.