Assistant Professor at Mohan Babu University, India
Dr. M. Balaji is a dedicated academician and researcher with over 12 years of experience in the field of Electronics and Communication Engineering (ECE). He holds a Ph.D. from JNTU Anantapur, specializing in RNS-based FIR filters for DSP applications. He is passionate about both teaching and research, currently serving as an Assistant Professor in the Department of ECE at Mohan Babu University. His contributions to academia include publications in reputed Scopus and Elsevier-indexed journals, focusing on high-speed and low-power DSP applications. Dr. Balaji has been instrumental in developing innovative techniques for FIR filter design, and his work is recognized through numerous awards and honors. A committed mentor, he enjoys guiding students and fostering a collaborative academic environment. He has also actively contributed to curriculum development, enhancing learning outcomes for his students.
Professional Profile
Education šš
Dr. M. Balajiās educational journey is marked by a strong foundation in Electronics and Communication Engineering. He earned his Ph.D. from JNTU Anantapur in 2023, with a thesis titled āDelay and Area Optimization of RNS-Based FIR Filter for DSP Applications.ā His doctoral research introduced advanced techniques for optimizing the design of finite impulse response filters, a critical component in modern communication systems. Prior to his Ph.D., Dr. Balaji completed his M.Tech in Embedded Systems from Hasvitha Institute of Engineering & Technology, affiliated with JNTU Hyderabad, graduating with distinction. He also holds a B.Tech in Electronics and Communication Engineering from Sree Vidyanikethan Engineering College, where he laid the groundwork for his future research in digital signal processing and filter design. His academic background combines practical engineering skills with cutting-edge research in embedded systems and communication technology.
Professional experienceš«š¼
Dr. M. Balaji has over 12 years of professional experience, primarily as an Assistant Professor at Mohan Babu University, formerly Sree Vidyanikethan Engineering College. He began his academic career in 2006 in the Department of EIE and later transitioned to the Department of ECE in 2012. Throughout his career, Dr. Balaji has been recognized for his excellence in teaching and research, actively contributing to curriculum development and mentoring students in advanced topics such as VLSI design, embedded systems, and digital signal processing. His research expertise lies in optimizing FIR filter design using RNS, which has earned him recognition in both academic and professional circles. Dr. Balaji has also participated in numerous faculty development programs and workshops on cutting-edge topics such as AI, machine learning, and VLSI, further enhancing his skills as both an educator and researcher.
ResearchĀ interestšš¬
Dr. M. Balajiās research interests revolve around digital signal processing (DSP), specifically the optimization of finite impulse response (FIR) filters using Residue Number Systems (RNS). His Ph.D. work introduced innovative methods for reducing delay and area in FIR filter designs, addressing critical challenges in high-speed and low-power applications. His research has broad applications in fields such as telecommunications, radar systems, and VLSI design. Dr. Balaji is also deeply invested in exploring machine learning and artificial intelligence applications within VLSI and embedded systems, aiming to enhance system performance and efficiency. He is particularly focused on the integration of RNS-based architectures with modern computing technologies, working to develop scalable, efficient solutions for next-generation communication systems. His research has been widely published in Scopus and Elsevier-indexed journals, positioning him as a leading expert in signal processing and embedded systems.
Award and Honorš
Dr. M. Balaji has received numerous accolades throughout his academic career. In 2023, he was honored with the prestigious MBU Chancellorās Award for his exceptional contributions to the field of ECE. His academic excellence was also recognized with the NPTEL Discipline Star from IIT Madras, showcasing his dedication to professional development through various NPTEL courses. Dr. Balaji has completed multiple advanced certification programs, including those in Integrated Circuits and Applications and Digital Electronic Circuits, further solidifying his expertise in the field. His participation in national and international conferences has resulted in awards for his innovative research on high-speed and low-power DSP applications. He is a frequent speaker and presenter at academic conferences, reflecting his leadership in advancing RNS-based FIR filter design. These honors highlight his commitment to advancing research and education in embedded systems and signal processing.
Conclusion
Dr. M. Balajiās strong academic foundation, innovative research, and significant contributions to the field of embedded systems and DSP position him as an excellent candidate for the Best Researcher Award. With a focus on interdisciplinary collaboration and expanding his research impact, Dr. Balaji could further solidify his position as a leader in his field.
Publications top notesš
- Ternary Adder and Multiplier Design Using GNRFETs
- Authors: Balaji, M., Padmaja, N., Saleha, A., Basha, S.J.
- Year: 2024
- Citation: AIP Conference Proceedings, 3111(1), 050001
- š Conference Paper
- RNS-Based FIR Filter Design with Memoryless Distributed Arithmetic Filtering for High-Speed and Low-Power Applications
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: AIP Conference Proceedings, 2966(1), 050001
- š Conference Paper (Open Access)
- Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: Measurement: Sensors, 31, 101014
- š Journal Article (Open Access)
- Citations: 2
- Revolutionizing WSN: Experimental Design of an Energy-Efficient Communication Protocol Using Improved BEE Colony Clustering Model
- Authors: Priyaradhikadevi, T., Vijayakumari, P., Balaji, M., Chinnammal, V., Vijay, S.
- Year: 2024
- Citation: Proceedings of ACCAI 2024, 3rd International Conference on Advances in Computing, Communication and Applied Informatics
- š Conference Paper
- Performance Parameters Estimation of High-Speed Silicon/Germanium/InGaAsP Avalanche Photodiodes in Ultra-High-Speed Optical Communication Systems
- Authors: Gopalan, A., Arulmozhi, A.K., Pandian, M.M., Balaji, M., Taher, A.M.
- Year: 2024
- Citation: Journal of Optical Communications
- š Journal Article
- Deep Learning Approach for Smart Home Security Using 5G Technology
- Authors: Amanullah, M., Chaudhary, S., Yalini, R., Vijaya Sudha, M., Dhanraj, J.A.
- Year: 2024
- Citation: Proceedings of ICABCS 2023, Artificial Intelligence, Blockchain, Computing, and Security, Vol 1, pp. 563ā568
- š Conference Paper
- High-Speed and Area-Efficient RNS-Based FIR Filter Design Using Distributed Arithmetic Approach
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: AIP Conference Proceedings, 2901(1), 090007
- š Conference Paper
- Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Adders and Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: SSRG International Journal of Electrical and Electronics Engineering, 10(10), pp. 151ā164, IJEEE-V10I10P115
- š Journal Article (Open Access)
- Design and Development of EEG Signal-Based Driver Activity Recognition and Monitoring System
- Authors: Ramachandran, R., Ramya, G., Titus, A., Balaji, M., Bharaneedharan, M.
- Year: 2023
- Citation: Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication, and Smart Electrical Systems (ICSES 2023)
- š Conference Paper
- Deep Learning Approach for Smart Home Security Using 5G Technology
- Authors: Amanullah, M., Chaudhary, S., Yalini, R., Sudha, M.V., Dhanraj, J.A.
- Year: 2023
- Citation: Artificial Intelligence, Blockchain, Computing, and Security: Volume 1, pp. 563ā568
- š Book Chapter
