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.

Palwasha Shaikh | Wireless Communication and Sensor Network | Best Researcher Award

Ms. Palwasha Shaikh | Wireless Communication and Sensor Network | Best Researcher Award

PhD Candidate | University of Ottawa, Canada

Palwasha W. Shaikh is a dedicated researcher specializing in AI, machine learning, and wireless charging for Connected and Autonomous Electric Vehicles (CAEVs) and Unmanned Aerial Vehicles (UAVs). She is currently a Ph.D. candidate in Electrical and Computer Engineering at the University of Ottawa under Dr. Hussein T. Mouftah, focusing on AI-driven energy management in smart cities. She holds an M.A.Sc. in Electrical and Computer Engineering from the University of Ottawa, where her thesis on charging infrastructure for CAEVs was nominated for Best Thesis Award. She completed her B.Eng. in Computer Engineering from the American University of Kuwait (AUK) with Summa Cum Laude honors. Palwasha has extensive research experience in AI-driven wireless energy transfer, swarm intelligence, and 6G-enabled intelligent transportation systems. She has authored multiple publications, presented at international conferences, and received several prestigious awards, including the International Doctoral Scholarship from the University of Ottawa

Publication Profile

Scopus

Orcid

Scholar

🎓Education

Palwasha earned her Ph.D. (ongoing) and M.A.Sc. in Electrical and Computer Engineering from the University of Ottawa, supervised by Dr. Hussein T. Mouftah. Her master’s thesis on intelligent charging infrastructure was nominated for the Best Thesis Award. She completed her B.Eng. in Computer Engineering from the American University of Kuwait, graduating Summa Cum Laude with a GPA of 3.95. Her undergraduate research focused on Connected Vehicles Emergency Response Systems (CoVERS) using V2I and I2I communication.

💼Experience

She is a research assistant at the University of Ottawa, working on AI-driven deep reinforcement learning models for UAV and CAEV energy optimization. She previously researched FPGA-based encryption and IoT-driven emergency response systems at the American University of Kuwait. As a teaching assistant, she led tutorials and labs for courses in computer architecture, software quality assurance, and real-time systems design. Palwasha also interned at Arabi Co. W.L.L., managing engineering sales worth over $500K and overseeing logistics operations.

🏆Awards and Honors

Palwasha has received the International Doctoral Scholarship and International Master’s Scholarship from the University of Ottawa. She was nominated for the Best Thesis Award (M.A.Sc.) and received the Outstanding Student Award (B.Eng.) at the American University of Kuwait. Her accolades also include the IEEE Certification of Appreciation, Outstanding Peer Tutor Award, and multiple honors on the AUK President’s and Dean’s Honor Rolls. She has been an active IEEE Young Professional and Student Member since 2016.

🔬Research Focus

Her research revolves around AI-driven energy optimization for CAEVs and UAVs in smart cities. She specializes in deep reinforcement learning, swarm intelligence, edge computing, and wireless energy transfer for 6G-enabled intelligent transportation systems. Palwasha has explored real-time systems for smart mobility, intelligent charging reservation frameworks, and UAV trip planning solutions. Her work also covers evolutionary algorithms for traffic signal optimization and AI-powered vehicular communication networks, contributing to sustainable and efficient transportation infrastructures.

Conclusion

Palwasha W. Shaikh is a highly deserving candidate for the Best Researcher Award. Her groundbreaking contributions to AI-driven smart mobility, strong publication record, and active role in academia and IEEE events make her a top contender. Strengthening industry collaborations and exploring funding opportunities could further enhance her research impact.

Publications

 

  • Title: Edge Computing-Aided Dynamic Wireless Charging and Trip Planning of UAVs
    Year: 2025
    Authors: Palwasha W. Shaikh, Hussein T. Mouftah
    Link: DOI: 10.3390/jsan14010008

 

  • Title: Dynamic Wireless Charging of UAVs in 6G Enabled ITS
    Year: 2024
    Conference: IEEE 10th World Forum on Internet of Things (WF-IoT)
    Authors: Palwasha Waheed Shaikh, Hussein T. Mouftah
    Link: DOI: 10.1109/wf-iot62078.2024.10811214

 

  • Title: An Overview on Intelligent Edge Computing for Enhancing CAEV and UAV Charging in 6G ITS
    Year: 2024
    Conference: IEEE International Conference on Smart Mobility (SM)
    Authors: Palwasha Waheed Shaikh, Hussein T. Mouftah
    Link: DOI: 10.1109/sm63044.2024.10733427

 

  • Title: Distinctive Landmarks in the History of Computing and Engineering: The Past, The Present, and The Future
    Year: 2024
    Journal: The International Journal for the History of Engineering & Technology
    Authors: Issam W. Damaj, Palwasha W. Shaikh, Hussein T. Mouftah
    Link: DOI: 10.1080/17581206.2024.2381739

 

  • Title: A Review of Dynamic Wireless Charging and Reservations for CAEV and UAV in 5G/6G ITS
    Year: 2024
    Conference: IEEE International Conference on Communications (ICC)
    Authors: Palwasha Waheed Shaikh, Hussein T. Mouftah
    Link: DOI: 10.1109/icc51166.2024.10622598

 

  • Title: Intelligent DWC Reservation and Trip Planning of CAEV and UAV for 6G ITS
    Year: 2024
    Conference: International Wireless Communications and Mobile Computing (IWCMC)
    Authors: Palwasha Waheed Shaikh, Hussein T. Mouftah
    Link: DOI: 10.1109/iwcmc61514.2024.10592358

 

  • Title: A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem
    Year: 2022
    Journal: IEEE Transactions on Intelligent Transportation Systems
    Authors: Palwasha W. Shaikh, Mohammed El-Abd, Mounib Khanafer, Kaizhou Gao
    Link: DOI: 10.1109/TITS.2020.3014296

 

  • Title: Connected and Autonomous Electric Vehicles Charging Reservation and Trip Planning System
    Year: 2021
    Conference: IEEE IWCMC Vehicular Communications Conference
    Authors: Palwasha W. Shaikh
    Link: DOI: 10.1109/IWCMC51323.2021.9498849

 

  • Title: Intelligent Charging Infrastructure Design for Connected and Autonomous Electric Vehicles in Smart Cities
    Year: 2021
    Conference: IEEE IM 4th International Workshop on Intelligent Transportation and Autonomous Vehicles Technologies (ITAVT2021)
    Authors: Palwasha W. Shaikh
    ISBN: 978-1-7281-9041-9

 

  • Title: Analysis of Pipelined KATAN Ciphers under Handle-C for FPGAs
    Year: 2018
    Conference: International Conference on Innovations in Information Technology (IIT)
    Authors: Palwasha W. Shaikh, Issam W. Damaj
    Link: DOI: 10.1109/innovations.2018.8606012