Tahseen A. Mulla

@adcet.ac.in

Associate Professor & Head of Department - Computer Science and Engineering [IOT & CSBT]
Annasaheb Dange College of Engineering and Technology, Ashta

Tahseen A. Mulla


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https://researchid.co/mullata
Dr. Tahseen Mulla is currently working as an Associate Professor and Head of the Department of Computer Science and Engineering. He holds a First class Bachelor's degree in Information Technology from Shivaji University, Kolhapur, and completed his Master's degree in Computer Science and Engineering with First Class with Distinction from Jawaharlal Nehru Technological University, Hyderabad. He earned his Ph.D. in Computer Science and Engineering from a recognized university in Madhya Pradesh

With over 15 years of academic experience, Dr. Mulla is deeply passionate about teaching emerging technologies including Machine Learning, Deep Learning, Optimization Techniques, Object-Oriented Programming, and Cloud Computing. He has published a book titled “Machine Learning for Absolute Beginners,” and holds two patents—one from the UK and one from India. He has received two hardware kit grants from NVIDIA Pvt. Ltd. totaling ₹58,500

Dr. Mulla has contributed extensively to research, with 15+ p

EDUCATION

Ph. D [Computer Science and Engineering]

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Process Chemistry and Technology
9

Scopus Publications

Scopus Publications

  • Machine Learning for Cardiovascular Disease Prediction: A Comparative Analysis of Models
    Shrikant Bhopale, Tahseen Mulla, Madhav Salunkhe, Sagarkumar Dange, Sagar Patil, Rohit Raut
    Lecture Notes in Networks and Systems, 2026
  • Early detection of Multi-Class Alzheimer's disease using Hybrid capsule auto encoder model
    Mainsh Balaji Narnaware, Tahseen Abdulmunaf Mulla
    Biomedical Signal Processing and Control, 2025
  • Enhancing Railway Line Safety and Accessibility using Machine Learning-based Image Processing
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Agriculture crop yield forecasting using relief based feature selection and KHO-KHO optimization approach for deep residual fuzzy encoders
    Anisa B. Shikalgar, Tahseen A. Mulla, Nasim Husen Sayyad, Karishma B. Shambharkar, Sayali Ganesh Sanmukh
    Progress in Artificial Intelligence, 2025
  • Multi-disease Detection using Eye Retinal Images
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • An Intelligent ML-based Communication System for the Deaf using Video and Vibration Feedback
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Blockchain based Decentralized Application Securing Health Records over the Ethereum Network using IPFS
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Enhancing Cotton Crop Health: An Ensemble Deep Learning Approach for Disease Prediction and Classification
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Attaining Peak Performance through an Interference-Aware Joint Channel Assignment Scheme for Wireless Mesh Networks
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024