Dr. Suresh Veesa

Dr. Suresh Veesa is a faculty member in the School of Computer Science (SOCS), UPES. He completed his PhD in Computer Science with research focused on speech signal processing and replay attack detection in automatic speaker verification systems. His doctoral work emphasized linear prediction, residual features, and deep learning-based architectures. 

His academic and research interests include Machine Learning, Deep Learning, Speech Processing, Cloud Computing, and Biomedical Signal Processing. He has strong expertise in designing and evaluating deep learning models such as ResNet, RCNN, attention-based, and end-to-end architectures, along with feature extraction techniques including LP residuals, CQCC, MFCC, and spectrograms. 

Dr. Veesa actively engages in teaching, research, and academic development, integrating research-driven methodologies into classroom instruction. He is proficient in Python, LaTeX (Overleaf), and modern deep learning frameworks, and remains committed to contributing towards high-quality education and impactful research. 

Dr. Suresh Veesa has over seven years of teaching experience in undergraduate and postgraduate programmes at SMITW, Guntur. His teaching approach is concept-driven and application-oriented, incorporating practical examples, laboratory sessions, and modern tools such as LMS platforms and Python to enhance student learning and engagement. 

Speech Signal Processing | Machine Learning | Deep Learning | Replay Attack Detection | Automatic Speaker Verification | Biomedical Signal Processing | Audio and Multimodal Analysis | Deep Neural Network Optimization | Intelligent Systems 

Dr. Suresh Veesa believes in a student-centred and outcome-oriented teaching approach that emphasizes strong conceptual understanding and practical application. His teaching philosophy focuses on simplifying complex concepts through clear explanations, real-world examples, and hands-on activities. He encourages active learning, critical thinking, and problem-solving skills while integrating modern tools and technologies to enhance classroom engagement. By aligning teaching with current research and industry practices, he aims to create an inclusive learning environment that motivates students to become independent learners and competent professionals. 

UGC-NET Qualified (2022) 

Secured Distinction in Postgraduate Studies.

Dr. Suresh Veesa has taught a range of undergraduate and postgraduate courses, including Data Science, Machine Learning, Cloud Computing, Business Intelligence, Design and Analysis of Algorithms, Data Structures, Programming with Python, and Digital Electronics. 

Dr. Suresh Veesa actively engages in scholarly activities, including research in speech signal processing and machine learning, publication of research articles in peer-reviewed journals and conference proceedings, and participation in national and international conferences. 

He is involved in research supervision, manuscript reviewing, and academic collaborations, and regularly updates his knowledge through workshops, faculty development programmes, and technical training initiatives to remain aligned with emerging research trends and technological advancements.

suresh.veesa@ddn.upes.ac.in