Dr. S. Ramchandra Reddy currently serving as an Associate Professor and Head of the Department in the Department of Artificial Intelligence and Machine Learning, with 20 years of teaching experience in higher education. His area of specialization is Machine Learning, with research interests focused on cardiovascular disease prediction using Machine Learning and Explainable AI techniques. I hold a Ph.D. in Computer Science and Engineering and published several research papers and book chapters in reputed Scopus-indexed journals and international conference proceedings. In addition to academic and research activities, I have actively contributed to various departmental and institutional committees, supporting academic administration, curriculum development, and research initiatives. I have also been actively involved in mentoring student projects, developing curriculum content in emerging AI and ML domains, and promoting research-oriented learning to keep pace with advancements in Artificial Intelligence and Machine Learning technologies.

Dr. V. R. Seshagiri Rao obtained a B.Tech from JNTU Kakinada in 1984 and M.E. (Digital Systems) from Osmania University in 1991. He joined HAL in 1984. Till 1989 he worked on Weather Radar which was used in AN-32 and Dornier Aircrafts. Deputed to Kiev USSR for six months from 1986 October – 1987 March for AN 32 flight test trials. Worked on BFSR (Battle Field Surveillance Radar) from 1989-1990. In charge of Mission Computers for SU-30 aircraft during the period 2000 – 2007. He obtained PhD from JNTU Hyderabad in 2023 after submitting thesis on the topic “BUILT IN REDUNDANCY ANALYSIS USING GLOBAL AND LOCAL SPARES FOR RAM “. He received AICTE QIP certificate in Artificial Intelligence from IIT Kharagpur in 2024. He has 11 papers in International journals, 5 papers in International Conferences and 5 patents. His research interests include Fault Tolerance and Machine Learning algorithms.

Mrs. Desham Archana is an Assistant Professor in the Department of Artificial Intelligence and Machine Learning, Computer Science and Engineering, at Nalla Malla Reddy Engineering College. She holds a B.Tech. and M.Tech. in Computer Science and Engineering and has over 15 years of teaching experience and currently she is pursing Phd in Computer Science and Engineering. Her areas of interest include Artificial Intelligence, Machine Learning, Data Analytics, Python, and Java. She has been granted three patents and has published six research papers in reputed journals and conferences. She has actively contributed to academic and professional development through the organization of workshops, Faculty Development Programs (FDPs), and technical training sessions. Her dedication to teaching, research, and innovation continues to inspire students and contribute to academic excellence

Mrs. Naga Nandini Bhaskara is working as an Assistant Professor in the Department of Artificial Intelligence & Machine Learning (AI&ML) with 2 years of teaching experience and 4 years of IT industry experience. She holds an M.Tech in Computer Science and Engineering (Artificial Intelligence) and a B.Tech in Computer Science and Engineering from JNTUCEA University. Her research interests include Python, Artificial Intelligence, Java, and DBMS. She has earned certifications from NPTEL, ISRO, C-DAC, and IUCEE, and has actively participated in numerous webinars, workshops, and seminars. She has published 6 research papers and has 3 patents published in emerging technologies.

Mrs. R.M.D.H.LAVANYA earned her M.C.A. and M.Tech degrees in Computer Science and Engineering and qualified UGC NET AND SET candidate with 9 years of experience at the Undergraduate and Postgraduate levels. My research areas include AI, ML, DL, and Digital Twin technology. She is currently serving as an Assistant
Professor in the Department of Artificial Intelligence and Machine learning (CSE(AIML)) at Nalla Malla Reddy Engineering College. Her research interests encompass Artificial Intelligence, Machine Learning, Deep Learning, and Big Data Analytics. Mrs. R.M.D.H.LAVANYA is also the author of the textbooks titled “Machine Learning Fundamentals” and “Python Programming: A Step-by-Step Programming Journey.” In addition, she has published research articles in reputed international conferences.

Anisha Chera holds an M.Tech degree in Computer Science and Engineering (CSE) and has 2 years of teaching experience in the Department of Computer Science and Engineering(CSE) at Nalla Malla Reddy Engineering College(NMREC).

Dr. V. Muni Babu is working as an Assistant Professor in the Department of Computer Science and Engineering at Nalla Malla Reddy Engineering College. He holds M.C.A., M.Tech. (C.S.E.), and Ph.D. (C.S.E.) qualifications and has over 8 years of teaching experience in the field of Computer Science and Engineering. His areas of interest include Programming Languages, Artificial Intelligence, and Machine Learning. He has published two research papers in reputed journals and is actively involved in academic, research, and technical activities. Through innovative teaching practices and technical mentoring, he continues to contribute to student development and academic excellence.

N. Selvamuthukumaran working as Assistant Professor, Department of AIML, Nalla Malla Reddy Engineering College, Hyderabad from July ‘2022.  I completed Bachelor of Technology in Information Technology and Master of Engineering in Computer Science and Engineering. I worked as Assistant Professor, Department of Information Technology, Coimbatore Institute of Technology, Coimbatore from Nov 2011 to June 2022 and Lecturer, department of Information Technology , Rajiv Gandhi College of Engineering Technology, Pondicherry from Feb ‘2006 to Oct’2011. I taught Digital System Design, Object Oriented Programming, Data Structures, High Speed Network, Computer Architecture, Artificial Intelligence, Machine Learning, Computer Networks, Human Computer Interaction, Enterprise Resource Planning, Web Programming, and Web Security. I guided various UG level major and minor projects in Artificial Intelligence, CNN, Machine Learning, and Internet of Things. I was a mentor for UG level students. I have professional membership in IEEE, ACM , ISTE, and IEI. My area of interest is Machine Learning, and the Internet of Things.

Mrs. Nazima Begum is working as an Assistant Professor in the Department of Computer Science and Engineering (Artificial Intelligence and Machine learning) with 4 years of teaching experience and 6 years of industry experience. She completed her B.Tech in Electronics and Communication Engineering (ECE) and M.Tech in Computer Networks and Information Security (CNIS) and is currently pursuing a Ph.D. in Deep Learning and Federated Learning for Healthcare Applications. Her current research specialization is in the domain of Artificial Intelligence in Healthcare, with a focus on Deep Learning and Federated Learning for privacy-preserving healthcare solutions. Her areas of interest include Machine Learning, Computer Networks, Healthcare AI, and programming languages such as C and Python. She has completed 6 NPTEL certifications and 6 Faculty Development Programs (FDPs) and has contributed to research and innovation through 1 research conference paper, 1 book chapter, and 4 patents. She has actively contributed to NAAC and NBA accreditation activities, participated in workshops, seminars, and technical events, and guided students in Sustainable Development Goals (SDG) activities, Social Outreach Survey (SOS), mini projects, and major projects. She is committed to excellence in teaching, research, student mentoring, and academic development.

Mr. Pramod Macherla is an Assistant Professor in the Department of Computer Science and Engineering (Artificial Intelligence and Machine learning) . He has over 3 years of teaching experience and 10 years of experience in the IT industry. He holds expertise in Computer Networks and Information Security. His areas of interest include Machine Learning, Deep Learning, Artificial Intelligence, and Cyber Security. He has completed NPTEL Certifications in Machine Learning and Deep Learning and is currently pursuing a Ph.D. in Computer Science and Engineering. He has published a research paper titled “HaCk: Hand Gesture Classification Using a Convolutional Neural Network and Generative Adversarial Network-Based Data Generation Model”. He has also been granted a patent titled “Blockchain-Based Framework for Analysing the Security” and has authored a book on Machine Learning. He actively contributes to academic and professional development through teaching, research, technical training, and student mentoring. His dedication towards education, innovation, and research continues to inspire students and contribute to academic excellence.

Dr. Battula Balnarsaiah is currently working as an Associate Professor in the Dept. of AIML at Nalla Malla Reddy Engineering College, Divyanagar, Hyderabad. He received his Ph.D. in the field of Classification of SAR Image Processing using Machine Learning Algorithms from Osmania University in He completed his M. Tech degree in DECS in 2012 and his B. Tech degree in ECE in 2003 from JNTUH-Hyderabad. He has a total of 16 years of professional experience, including 8 years in teaching, 7 years in research, and 1 year in industry. His research interests in Digital Image Processing of SAR and Biomedical images using emerging technologies such as AI, Machine ML, DL. He has published numerous research articles in reputed SCI and Scopus- indexed journals, IEEE and Springer conference proceedings, and patents. He has successfully completed 12 NPTEL certification courses in various CSE domains, He has also completed several FDPs and NVIDIA certifications related to DL, ML, LLMs, and NLP. He successfully completed the AICTE- QIP PG Certificate Programme in AI&ML conducted from June 2025 to December 2025 at IIIT-Nagpur. He is also pursuing an AICTE-QIP PG Certificate Programme in Data Science and Quantum Computing at ABV- IIITM-Gwalior. He has qualified in GATE in 2014, 2025, and 2026. He also qualified the CSIR-NET for JRF and Assistant Professorship in December Additionally, he qualified the Faculty Eligibility Test (FET-2011) conducted by JNTUH, Hyderabad, in 2011.

Mr. D. Lakshmana Babu is an Assistant Professor in the Department of Computer Science and Engineering (AIML). He has over 14 years of teaching experience. He holds expertise in Data structures and Information Security. His areas of interest include Machine Learning, Design Analysis and Algorithm, Agile Methodology Artificial Intelligence, and Cyber Security. He has completed NPTEL certifications in Machine Learning and Deep Learning. He has published a research paper titled “face recognition Classification Using a Convolutional Neural Network and Generative Adversarial Network-Based Data Generation Model”. He has also been granted a patent titled “Blockchain-Based Framework for Analysing the Security” and has authored a book on Machine Learning. He actively contributes to academic and professional development through teaching, research, technical training, and student mentoring. His dedication towards education, innovation, and research continues to inspire students and contribute to academic excellence.