Sarah Freeman | Environmental effects | Best Researcher Award
Dr. Sarah Freeman at Emory University | United States
Featured Publications
Slocum, S. K., & Tiger, J. H. (2010, May). Developing an assessment of sensitivity to and preference for forward and backward chaining strategies. Poster presented at the Association for Behavior Analysis International, San Antonio, TX.
Scheitauer, M. C., Tiger, J. H., Mevers, J. L., & Slocum, S. K. (2011, May). Assessing preference for choice-making opportunities with college students. Paper presented at the Association for Behavior Analysis International, Denver, CO.
Barlow, K., Tiger, J. H., Slocum, S. K., & Miller, S. J. (2011, May). Comparing mand-training efficiency with selection-based and topography-based communication systems. Poster presented at the Association for Behavior Analysis International, Denver, CO.
Scheitauer, M. C., Tiger, J. H., & Slocum, S. K. (2011, May). Descriptive and experimental evaluations of procedural fidelity failures of parents implementing differential reinforcement of alternative behavior in the treatment of problem behavior. Poster presented at the Association for Behavior Analysis International, Denver, CO.
Slocum, S. K., Miller, S. J., & Tiger, J. H. (2012, May). An evaluation of the blocking procedure to teach conditional discriminations to a child with autism. Paper presented at the Association for Behavior Analysis International, Seattle, WA.
Slocum, S. K., Zeug, N. M., Baker, C., Peters, K. P., Wunderlich, K. L., & Vollmer, T. V. (2013, May). A functional analysis of mild punishers for vocal stereotypy. Paper presented at the Association for Behavior Analysis International, Minneapolis, MN.
Slocum, S. K., Vollmer, T. R., Whitehouse, C. W., Peters, K. P., Phillips, C. L., Radonavich, K., & Lewis, M. H. (2014, May). Developing a novel treatment for rigid inflexible behavior. Paper presented at the Association for Behavior Analysis International, Chicago, IL.

. Currently pursuing a Ph.D. at NIT Raipur, he has extensive experience in power electronics, artificial intelligence applications, and renewable energy. With a strong background in hardware and software simulation, he has contributed to multiple international conferences and journals
. Vikram has also worked as an Assistant Professor at Kalinga University and actively participates in academic workshops and training programs. His passion for innovation and academic excellence drives his research in power system resilience. 
Ph.D. (Pursuing) – NIT Raipur, Specialization: AI-Based Fault Detection in Multilevel Inverters (2021-Present)
Work Experience:
Research Scholar – NIT Raipur (2021-Present)
. He has successfully cleared GATE (2016, 2017, 2018) and completed a certified Python Data Analytics course
. Actively involved in academic workshops and conferences, he participated in PhD Summer Schools at IIT Bhubaneswar and MANIT Bhopal
. He has also contributed as an organizer for SERB-sponsored workshops. His expertise spans MATLAB, Simulink, PSIM, PLECS, FPGA, and dSPACE controllers, enhancing his analytical and simulation skills for cutting-edge research in AI-powered fault detection. 

. His Ph.D. work revolves around AI-based fault detection and reconfiguration in multilevel inverters, crucial for enhancing the reliability and efficiency of standalone and grid-connected renewable energy systems. His expertise extends to machine learning algorithms, FPGA-based control systems, and hybrid inverter design. Vikram has published extensively in IEEE, Springer, and SCI-indexed journals, contributing to advancements in fault-tolerant power systems. His work aims to develop intelligent, resilient, and sustainable energy solutions for the future of renewable power generation. 

Switch fault identification scheme based on machine learning algorithms for PV-Fed three-phase neutral point clamped inverter (
e-Prime – Advances in Electrical Engineering, Electronics and Energy, 2024) 
Open circuit fault diagnosis and fault classification in multi-level inverter using fuzzy inference system (
Combined Wavelet and ANN-Based Open-Switch Fault Detection and Classification in PV-Fed Multilevel Inverter (
Open Switch Fault Diagnosis of Three-Phase Battery-Fed Capacitor Clamped Inverter using Machine-Learning Algorithm (
Open-Switch Fault Detection and Classification in Five-Level Neutral-Point-Clamped Inverter by Using Fuzzy Interface System (
Harmonic Reduction and Reactive Power Improvement using Shunt Active Power Filter and Thyristor-Controlled Reactor (
Performance Evaluation of A Shunt Active Power Filter For Current Harmonic Elimination (
Jiacong Li is a dedicated Ph.D. candidate in Environmental Science and Engineering at Tsinghua University, specializing in energy system
Jiacong’s work on enhancing the flexibility of these systems to optimize carbon capture has been published in Applied Energy. He holds a Bachelor of Engineering and a Bachelor of Philosophy from Tsinghua University and is actively involved in projects focused on carbon neutrality. 
Publication Profile
Ph.D. in Environmental Science and Engineering
Research Focus:
Published in Applied Energy:
Jiacong Li has actively contributed to cutting-edge research on the 
His research aims to optimize the flexibility of CCS operations, ensuring that energy generation remains efficient while reducing carbon emissions. 

Best Researcher Award Nominee – 2024
Research Publication in Applied Energy – 2025
Tsinghua-Toyota Joint Research Institute Cross-discipline Program
Assessing the synergies of flexibly-operated carbon capture power plants with variable renewable energy in large-scale power systems – Applied Energy (2025)