Sujata Basyal | Control System | Best Researcher Award

Ms. Sujata Basyal | Control System | Best Researcher Award

Research Assistant at Auburn University, United States

Sujata Basyal is a passionate mechanical engineer and researcher from Nepal, currently pursuing her Ph.D. at Auburn University. With a strong foundation in nonlinear control and robotics, she works at the CARE Lab developing robust, adaptive, and intelligent control strategies. Sujata’s journey spans from mechanical design roles in Nepal to cutting-edge research in the U.S. She has co-authored numerous journal and conference papers on exoskeletons, deep neural networks, and control systems. Beyond academia, she’s a community leader, active volunteer, and a dedicated advocate for women in engineering and STEM education. 🌍🤖📚

Publication Profile

Google Scholar

Academic Background

Sujata holds a Ph.D. (in progress) and an M.S. in Mechanical Engineering from Auburn University, where she’s a Graduate Research Assistant in the CARE Lab. She earned her Bachelor’s degree in Automobile Engineering from Tribhuvan University, Nepal. Her academic path is marked by merit scholarships, fellowships, and an impressive research portfolio. Through her studies, she has gained deep expertise in nonlinear systems, control theory, and rehabilitation robotics. Her educational journey reflects a blend of academic rigor and hands-on innovation, both in Nepal and the United States. 🎓🇳🇵

Professional Background

Sujata’s experience ranges from research-intensive roles in the U.S. to industry-level engineering in Nepal. At Auburn, she designs robust control systems for rehabilitation robotics. Before that, she worked as a Warranty Executive at Agni Group and as a Mechanical Design Engineer and Project Supervisor at multiple firms in Kathmandu. Her roles included product design, team leadership, and service engineering. She has also interned at Go Ford, gaining hands-on experience with vehicle diagnostics and maintenance. Her career blends practical skills, technical depth, and global exposure. 🔧🌐📈

Awards and Honors

Sujata has been recognized with prestigious honors like the Presidential Graduate Research Fellowship and EPSCoR Graduate Scholars Program at Auburn University. She received the 100+ Women Strong Travel Fellowship and multiple merit scholarships throughout her undergrad. In Nepal, she secured a national RDI grant and won robotics competitions, including at IIT Bombay and Robotics Association of Nepal. These awards reflect her excellence in academics, leadership, innovation, and her commitment to advancing women and technology in engineering. 🥇🎖️👩‍🏫

Research Focus

Sujata’s research focuses on developing robust and adaptive control strategies using Lyapunov theory, deep neural networks, and concurrent learning. Her work addresses challenges in uncertain, nonlinear, and switched dynamic systems with applications in rehabilitation robotics, such as exoskeleton control, and networked control systems. She integrates artificial intelligence and control theory to build systems that are intelligent, responsive, and resilient. Her innovative research aims to enhance human-robot interaction, particularly for medical and assistive technologies. 🤖📊🧠

Publication Top Notes

📘 Robust Control of a Nonsmooth or Switched Control Affine Uncertain Nonlinear System Using a Novel RISE-Inspired Approach
 Year: 2023 | Cited by: 4

🦿 Deep Neural Network Based Saturated Adaptive Control of Muscles in a Lower-Limb Hybrid Exoskeleton
 Year: 2023 | Cited by: 2

🧠 Neuromuscular Model-free Epistemic Risk Guided Exploration (NeuroMERGE) for Safe Autonomy in Human-Robot Interaction
 Year: 2024 | Cited by: 1

⚙️ RISE-Like Saturated Control for Non-Smooth and Switched Non-Linear Systems
 Year: 2023 | Cited by: 1

Conclusion

Sujata Basyal is an outstanding emerging researcher whose academic journey, innovative contributions, and community engagement collectively mark her as a highly deserving candidate for the Best Researcher Award. With a strong academic foundation through her ongoing Ph.D. and prior M.S. in Mechanical Engineering from Auburn University, her work focuses on nonlinear control, rehabilitation robotics, and neural networks—fields at the forefront of engineering innovation. She has authored 3 journal papers and 18+ conference publications in top-tier venues like ACC, CDC, ICORR, and IMECE, showcasing both depth and breadth of research. Her work on adaptive and Lyapunov-based control strategies not only advances theory but also translates into impactful real-world applications such as hybrid exoskeleton systems. Recognized through prestigious fellowships like the Presidential Graduate Research Fellowship and the EPSCoR GRSP, Sujata has also demonstrated excellence through national and international robotics awards. Her leadership roles, mentoring, and active membership in organizations like ASME and SWE underscore a commitment to academic, professional, and community development. In every dimension—scholarship, innovation, leadership, and impact—Sujata Basyal exemplifies the caliber of a Best Researcher Award recipient.

Tianyu Zhang | Digital operations | Best Researcher Award

Dr. Tianyu Zhang | Digital operations | Best Researcher Award

PhD student at Beijing Institute of Technology, China

Dr. Tianyu Zhang is a Ph.D. candidate in Management Science and Engineering at the Beijing Institute of Technology (BIT), China. He holds a Double Bachelor’s Degree in Economics from Peking University and a Bachelor’s Degree in Opto-Electronics Information Science and Engineering from BIT. His research focuses on blockchain adoption, supply chain finance, innovation diffusion, and decision-making models. He has published in high-impact journals like Omega and Journal of Business Research. A recipient of multiple First-Class Academic Scholarships , Dr. Zhang is skilled in agent-based modeling, data visualization, and analytical modeling.

Publication Profile

Scopus

Educational Background 🎓📚

Dr. Tianyu Zhang is currently pursuing a Ph.D. in Management Science and Engineering at the Beijing Institute of Technology (BIT), China . He previously earned a Double Bachelor’s Degree in Economics from Peking University (2014-2017) . Additionally, he holds a Bachelor’s Degree in Opto-Electronics Information Science and Engineering from BIT (2013-2017) . His diverse academic background integrates engineering, economics, and management, providing a strong foundation for his research in blockchain technology, supply chain finance, and innovation diffusion. Through his interdisciplinary expertise, Dr. Zhang contributes significantly to advancing data-driven decision-making and financial technologies.

Research Experience 🔬📖

Since 2019, Dr. Tianyu Zhang has been a principal member of a prestigious research project funded by the National Natural Science Foundation of China (NSFC) . His work focuses on developing a risk alert mechanism for the synergistic operation of the P2P lending system  (Project Ref. No. 71873015). This research aims to enhance financial stability and risk management strategies in the rapidly evolving digital finance sector. By leveraging advanced analytical models and data-driven approaches, Dr. Zhang contributes to shaping a more secure and efficient financial ecosystem in China.

Honors & Awards 🏆🎓

Dr. Tianyu Zhang has received multiple prestigious academic honors for his outstanding achievements . In 2020, he was recognized as an Outstanding Student at Beijing Institute of Technology (BIT) 🏛️. He has also been awarded the First-Class Academic Scholarship multiple times, including in 2018, 2017, and consecutively from 2014 to 2016. In 2017, he was honored as an Excellent Graduate Student of BIT, reflecting his dedication to academic excellence and research innovation . These accolades highlight his exceptional performance, intellectual rigor, and commitment to advancing knowledge in his field.

Research Interests 🔍📊

Dr. Tianyu Zhang’s research focuses on emerging technologies and decision sciences . His expertise includes blockchain and supply chain finance , where he explores financial innovations and risk management. He is also passionate about innovation diffusion , studying how new technologies spread in competitive markets. His work in agent-based modeling  helps simulate complex systems, while his proficiency in multiple case study analysis  enhances strategic decision-making. Additionally, he specializes in multiple-criteria decision making , developing frameworks for optimal choices in uncertain environments. His research contributes to advancing business strategies and technological innovations.

Publications 📚📝

  • The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members 🏭🔗
    Year: 2023

  • Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model ⌚📈
    Year: 2022

  • Innovation adoption of blockchain technology in supply chain finance 🔗💰
    Year: 2022

  • A group consensus reaching model balancing individual satisfaction and group fairness for distributed linguistic preference relations 🤝⚖️
    Year: 2024

  • Differential game theoretic analysis of the blockchain technology investment and carbon reduction strategy in digital supply chain with government intervention 🌍🔬
    Year: 2024

  • The contagion mechanism and governance strategy of corporate social irresponsibility of Chinese food companies 🍽️⚠️
    Year: 2024

  • A novel multi-attribute decision-making framework based on Z-RIM: an illustrative example of cloud service selection ☁️📊
    Year: 2020