Research Scholar at Delhi Technological University, India
Anjali Rai is a dedicated Research Scholar at Delhi Technological University (DTU), Delhi, India, currently engaged in pioneering research in the modeling and control of robust controllers for nonlinear dynamic systems. With a strong academic background and a passion for control systems engineering, she has developed a focused research trajectory centered around advanced system modeling, controller optimization, and stability analysis. Anjali’s technical acumen is complemented by hands-on experience in MATLAB, Simulink, and C++, enabling her to simulate and test high-performance control systems effectively. Her work combines theoretical innovation with practical implementation, which has resulted in significant contributions to publications and conferences of international repute. As a Gold Medalist in both her B.Tech and M.Tech degrees, she has demonstrated consistent academic excellence. Beyond research, she is actively involved in collaborative academic efforts, conference participation, and interdisciplinary learning, reflecting her commitment to professional development. Anjali is also proficient in communication and technical writing, which is evident from her co-authorship in leading journals and IEEE conferences. With a keen interest in intelligent systems, adaptive control, and nonlinear dynamics, she continues to contribute meaningfully to the field while honing her skills to pursue a long-term academic and research career.
Professional Profile
Education
Anjali Rai has pursued a progressive and distinguished academic path that reflects her commitment to excellence and her passion for engineering. She completed her Bachelor of Technology in Electrical Engineering from U.N.S.I.T., Veer Bahadur Singh Purvanchal University, Jaunpur in 2017, securing an impressive 79.86% and earning the Gold Medal for academic excellence. Driven by a desire to specialize, she went on to complete her Master of Technology in Control and Instrumentation from Madan Mohan Malaviya University of Technology, Gorakhpur, graduating in 2021 with a remarkable CGPA of 9.4/10, once again being awarded the Gold Medal. Her foundational education began with Senior Secondary and Secondary studies at Children Senior Secondary School, Azamgarh (CBSE), where she secured 73% and a CGPA of 8.4, respectively. Throughout her academic journey, Anjali has consistently demonstrated excellence, deep understanding of core subjects, and a clear focus on control engineering. Her academic background has provided her with strong theoretical grounding, which now supports her advanced research work. Her success across various levels of education, coupled with her active participation in workshops and certifications, underlines her well-rounded capabilities and academic rigor that continue to shape her research endeavors.
Professional Experience
Anjali Rai has been serving as a Research Scholar in the Electrical Engineering Department at Delhi Technological University (DTU) since July 2022. Her role involves advanced research on the modeling and control of robust controllers tailored for nonlinear dynamic systems—a challenging yet crucial area in modern control engineering. She plays a vital role in developing innovative control algorithms and running complex system simulations using MATLAB and Simulink, showcasing her technical proficiency and problem-solving acumen. Beyond her technical responsibilities, Anjali contributes significantly to collaborative research publications and technical presentations, actively engaging with the academic community. Her hands-on approach to control system design, combined with her strong coding skills in MATLAB and C++, has led to meaningful insights and results in simulation environments. She has also mentored and collaborated with peers on various academic tasks and research documentation, highlighting her leadership and teamwork skills. Prior to joining DTU, her foundation was solidified through various internships and project work during her B.Tech and M.Tech studies. Her professional experience bridges theoretical research and practical implementation, establishing her as a competent and emerging researcher in the domain of nonlinear and adaptive control systems.
Research Interest
Anjali Rai’s research interests are deeply rooted in control systems, particularly focusing on the modeling, design, and optimization of robust and adaptive controllers for nonlinear dynamic systems. She is passionate about developing advanced control strategies that improve system performance and ensure stability, even under uncertain and disturbed conditions. Her ongoing doctoral research involves designing controllers like LQR, Pole-Placement, and intelligent techniques such as neural networks, which are applied to complex systems like ball and beam setups and rotary inverted pendulums. Anjali is intrigued by the integration of artificial intelligence into classical control paradigms, leading to adaptive systems capable of learning and adjusting in real-time. She is equally interested in system identification, optimal control theory, and real-time simulation environments that help bridge the gap between theoretical control algorithms and their hardware implementations. Her published work demonstrates a strong inclination toward comparative analysis and performance evaluation of control techniques, often under nonlinear or uncertain conditions. Looking ahead, Anjali seeks to expand her research into cyber-physical systems, smart robotics, and sustainable automation technologies. Her vision is to contribute toward control strategies that enhance the safety, reliability, and intelligence of autonomous and dynamic systems across varied engineering applications.
Research Skills
Anjali Rai possesses a robust set of research skills that empower her to undertake complex investigations in control systems engineering. She is highly skilled in MATLAB and Simulink, which she uses extensively for system modeling, simulation, and analysis. Her proficiency in C++ programming supports her ability to design and test algorithms in custom environments, offering flexibility in implementation. Anjali is also adept at academic writing and literature review, demonstrated through her co-authored research papers published in leading journals like the International Journal of Robust and Nonlinear Control and IEEE conference proceedings. She has practical experience in handling real-time data, gained through training and FDPs on LabVIEW and sensor technologies. Her projects reflect strong capabilities in controller design—from traditional PID and LQR to more advanced intelligent systems using neural networks and optimization techniques. In addition, she is competent in using MS Office tools for documentation and technical reporting. Anjali’s analytical skills are reinforced by her exposure to AI tools and optimization methods, allowing her to evaluate the performance and robustness of different control strategies systematically. Her research skills are complemented by excellent collaboration and presentation abilities, essential for academic and industry-oriented research dissemination.
Awards and Honors
Anjali Rai has earned several accolades throughout her academic and professional journey that reflect her excellence and dedication. She was a Gold Medalist in both her B.Tech (Electrical Engineering) from U.N.S.I.T., VBSPU, Jaunpur and her M.Tech (Control & Instrumentation) from MMMUT, Gorakhpur, securing top ranks in both programs. These distinctions highlight her consistent academic excellence and outstanding performance in core engineering disciplines. In recognition of her technical aptitude, she has successfully completed certified courses in MATLAB from reputed institutions like IIT Kanpur and Electronics & ICT Academics under the Ministry of Electronics and Information Technology (MeitY). Anjali has also been an active participant in high-impact FDPs and workshops organized by premier institutes including NIT Silchar and MMMUT, enhancing her domain expertise. Her research contributions have earned her acceptance into prestigious IEEE conferences like ICIDeA and ICPEICES, where she has presented and published her work on nonlinear control systems. Her innovative research in neural networks and robust control has been acknowledged by peer reviewers and academic mentors alike. These awards and honors not only validate her capabilities but also inspire her to pursue further excellence in the field of advanced control systems.
Conclusion
Anjali Rai exemplifies the qualities of a dedicated and innovative researcher poised for a successful career in control systems engineering. With a strong academic foundation, multiple gold medals, and hands-on experience in both classical and modern control strategies, she has emerged as a promising scholar in the domain of nonlinear dynamic systems. Her work is grounded in both theoretical understanding and practical implementation, as demonstrated through her research projects, simulations, and scholarly publications. She brings together technical expertise in MATLAB and C++, analytical thinking, and a methodical approach to problem-solving. Anjali’s involvement in training programs, FDPs, and international workshops illustrates her eagerness to stay abreast of technological advancements and continuously improve her skills. She possesses not only the technical competence but also the communication, collaboration, and leadership skills needed for impactful research. Looking ahead, she aspires to contribute to intelligent control systems that drive innovation in automation, robotics, and sustainable technologies. With a solid academic trajectory and a clear research vision, Anjali is well-positioned to make significant contributions to academia and industry alike, reinforcing her potential as a future leader in the field of control engineering.
Publications Top Notes
Title: Design of a Novel Recurrent Neural Network Model for Identification and Adaptive Control of Dynamical Systems
Authors: Anjali Rai; Bharat Bhushan; Bhavnesh Jaint
Year: 2025