Faculty

Dr. Rais Allauddin Mulla

Associate Professor & HOD at Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts

Computer Engineering

Vasantdada Patil Pratisthan’s College of Engineering & Visual Arts

Sion - Mumbai

rais.mulla@pvppcoe.ac.in

Dr. Rais Allauddin Mulla working as an associate professor in the department of computer engineering at Vasantdada Patil Pratishthan’s College of Engineering and Visual Arts  (VPPCOE &VA). Dr. Rais Allauddin Mulla is having 10 years of academic experience. His areas of interest are Machine Learning, Data Science, Database Management System, the Internet of Things, and Business Intelligence systems.

  • Ph.D. in Computer Engineering from RIMT University, Punjab.
  • M.Tech. in Computer Science and Technology from Shivaji University Kolhapur.
  • B.E. in Information Technology from Shivaji University Kolhapur.
  • Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts, Associate Professor (Jan 2015- till date).
  • Finolex Academy of Management and Technology, Lecturer July 2014- Dec 2014.
  • Database Management System
  • Software Engineering
  • Operating System
  • Mobile Computing
  • Big data Analytics
  • Machine Learning
  • Data Science
  • Attended 1 week ISTE approved STTP on “Applied Data Science & Machine Learning”.
  • Attended 1 week ISTE approved STTP on “Advanced concepts tools & applications of Blockchain & Securities”.     
  • Completed 33 Certificate program on Coursera platform with college affiliation
  • Completed Coursera Admin Certificate
  • Organized Infosys Preparation training program for students.
  • Completed workshop on ML with ATAL and IIT Certificate.  
Research Papers
  • R. A. Mulla, S. Saini, P. S. Mane, B. W. Balkhande, M. E. Pawar, and K. A. Deshmukh, “A Novel Hybrid Approach for Stock Market Index Forecasting using CNN-LSTM Fusion Model”, Int J Intell Syst Appl Eng, vol. 12, no. 12s, pp. 266–279, Jan. 2024.
  • Rais Allauddin Mulla, M. Eknath Pawar, S. S. Banait, S. N. Ajani, M. Pravin Borawake, and S.Hundekari, “Design and Implementation of Deep Learning Method for Disease Identification in Plant Leaf”, IJRITCC, vol. 11, no. 2s, pp. 278–285, Mar. 2023.
  • R. A. Mulla, Y. Mali, V. U. Rathod, R. S. Tambe, R. Shirbhate and R. Agnihotri, “Enhancing Query Performance Using Simultaneous Execution and Vertical Query Splitting,” 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-4, doi: 10.1109/ICCCNT56998.2023.10307920.
  • Ajani, S.N., Mulla Rais Allauddin., Limkar, S. et al. “DLMBHCO: design of an augmented bioinspired deep learning-based multidomain body parameter analysis via heterogeneous correlative body organ analysis.” Soft Comput (2023). https://doi.org/10.1007/s00500-023-08613-y
  • Shivadekar, S., Kataria, B., Limkar, S . Kishor S.Wagh, Santosh Lavate & Rais Allauddin Mulla “Design of an efficient multimodal engine for preemption and post-treatment recommendations for skin diseases via a deep learning-based hybrid bioinspired process.” Soft Comput (2023). https://doi.org/10.1007/s00500-023-08709-5
  • M. E. Pawar, R. A. Mulla, S. H. Kulkarni, S. Shikalgar, H. B. Jethva, and G. A. Patel, “A Novel Hybrid AI Federated ML/DL Models for Classification of Soil Components”, IJRITCC, vol. 10, no. 1s, pp. 190–199, Dec. 2022.
  • Mulla, R.A., Saini, S. (2022). An Improved Stock Market Index Prediction System Based on LSTM. In: Pundir, A.K.S., Yadav, N., Sharma, H., Das, S. (eds) Recent Trends in Communication and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978 981-19-1324-2_15.
  • R. Allauddin Mulla, M. E. Pawar, B. Balkhande, V. N. Alone, V. N. Nandgaonkar, and N. Ranjan, “Efficient Microarray Gene Expression Data Sample Classification using Statistical Class Prediction Method”, Int J Intell Syst Appl Eng, vol. 11, no. 10s, pp. 691–700, Aug. 2023.
  • Pashte Rupali D., Rais Mulla, Mahendra Pawar. “Blur Detection in Video Stream using Filtering Algorithm.” International Journal of Science, Engineering and Technology Research (IJSETR) 5.1 (2017): 296-299.
  • Rais Allauddin Mulla, Satish Saini, “Machine Learning Based Framework For Making Adaptive Stock Market Index Prediction System”, Editorial, vol. 53, no. 12, pp. 243–263, Dec. 2021.
  • Rais Allauddin Mulla, Satish Saini, “Survey on Real Time Financial Signal Representation and Trading Using Recurrent Neural Network”, Test Engineering and Management, vol. 82, pp. 11706-11713, Jan-Feb 2020
  • Kudekar, Vedica and Kognule, Mithesh and Mohite, Shubham and Brahmane, Siddesh and Alone, Vinod and Mulla, Rais, Electrical Vehicle Booking System (December 24, 2022). http://dx.doi.org/10.2139/ssrn.4393039
  • Mulla, Rais and Bharambe, Dinesh and Gupta, Swastik and Bohra, Khemraj and Tiwari, Preeta, Visualizing and Forecasting Stocks Using Dash (December 13, 2022). http://dx.doi.org/10.2139/ssrn.4405274
  • Dr. Rais A. Mulla published the book “IoT Architecture and Protocols” in the year 2023 through Tech Neo Publication, Mumbai University.
  • Dr. Rais A. Mulla also published the book “Digital Business Management” in the year 2023 with Tech Neo Publication, Mumbai University.
  • Dr. Rais A. Mulla published the book “Business Analytics and Intelligence” in the year 2023 by Savitribai Phule, Pune University.
  • Dr. Rais A. Mulla also authored the book “Augmented and Virtual Reality,” which was published in the year 2023 by Savitribai Phule, Pune University.
  • Published Chapter “An Improved Stock Market Index Prediction System based on LSTM”, /AIS/15/79 dated 23-10- 2021 in the Springer Nature.
  • Published a patent “Process and method of algorithm for real-time financial signal representation and trading using neural network”.
  • Published a patent “Process and method of scalable framework for finding competitors from large unstructured e-commerce data”. 
  • Published a patent “Pothole Detection and Filling Plastic Waste”.