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Dr.Ralla Suresh

Associate Professor & HOD of AI & DS

Qualification:
B.Tech(CSE),. M.Tech(CSE), Ph.D(CSE)

Professional Exp.:
17 Years

Registration Number:
0862-150505-162448

Email Address:
hodaid@aceec.ac.in

Mobile Number:
9705725615

About

Dr. Ralla Suresh is an accomplished academician and researcher, currently serving as Associate Professor and Head of the Department of Artificial Intelligence and Data Science (AI & DS) at ACE Engineering College, Medchal Malkajgiri, Telangana. With more than 16 years of teaching and research experience, he has significantly contributed to curriculum design, academic leadership, and research advancement in the fields of Artificial Intelligence, Machine Learning, and Deep Learning.

He obtained his Ph.D. and M.Tech in Computer Science from Osmania University, Hyderabad, and his B.Tech in Computer Science from Kakatiya University, Khammam. His doctoral research focused on heart disease prediction using machine learning models for early detection and risk stratification.

Dr. Suresh has authored over 26 research publications, including Scopus-indexed journals, Springer book chapters, and conference proceedings. His publications focus on intelligent algorithms, predictive analytics, and feature selection techniques for healthcare applications. His work is indexed on Google Scholar.

He has also authored a textbook on Artificial Intelligence (ISBN: 978-81-966517-3-2) and holds two patents, one on Flood Monitoring Devices with Alert Mechanism and another on Ad Hoc Model Building and Machine Learning Services for Radiology Quality Dashboards.

EDUCATION

  • Ph.D. from Osmania University, Hyderabad 

Heart disease prediction using machine learning is to develop accurate and reliable models that can assist healthcare professionals in early detection, risk stratification, and personalized treatment planning for patients at risk of heart disease

  • M.Tech from Osmania University, Hyderabad (October 2007 – June 2009)
  • B. Tech from Kakatiya University, Khammam (August 2000 – May 2004)

COURSES

  • Plan an Azure AI Document Intelligence solution, Microsoft (12 June 2024)
  • Data Science for Engineers, NPTEL (January 2023 – March 2023)
  • Deep Learning, SimpliLearn
  • Introduction to Data Analytics, SimpliLearn
  • Machine Learning, SimpliLearn

Subjects Handled

  • Computer Organization.
  • Information Retrieval System
  • Cyber security
  • Data Warehousing and Data Mining.
  • Computer Networks.
  • Information Security.
  • Design patterns.
  • Artificial Intelligence and Neural Networks.
  • Software Engineering.
  • Computer Graphics.
  • Operating System.
  • Mobile Computing.
  • Operating Systems

Training

  • Coordinator for the Workshop on “Web Designing using PHP “held at ACE Engineering College Hyderabad.
  • Attended “Data visualization using Tableau and Power Bi “held at ACE Engineering College Hyderabad.
  • Attended “Data Mining Business Intelligence” a two-day national level work shop at Laqshya Engineering College, Khammam.
  • Attended “Soft Computing” a two-day national level work shop at Osmania University, Hyderabad.
  • Attended “Mobile Ad-Hoc Networks” a two-day national level work shop at Osmania University, Hyderabad.

Publications

  • Published a paper titled “Machine Learning-Based Identification and Forecasting of Chronic Illnesses” in International Journal of All Research Education and Scientific Methods, Volume 12, Issue 6, June-2024, ISSN: 2455-6211. https://doi.org/10.56025/IJARESM.2024.1206242071
  • Ralla Suresh, Dr. Nagaratna P. Hegde, “Genetic Feature Selection and Naive Bayes for Efficient Heart Disease Prediction” Published in Journal of Theoretical and Applied Information Technology. ISSN: 1992-8645, 30th June 2023. Vol.101. No 12, Scopus indexed journal.
  • Published a paper titled “Intelligent Ensemble Algorithm for Feature Selection and Effective prediction of Heart disease using SVM and KNN in A., Ghinea, G., Merugu, Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. ICCIC 2022. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2742-5_53.
  • Published a paper titled “Post-Covid Efficient and Reliable Cardiovascular Disease Prediction using Random Forest & GA with KNN” in Intelligent Computing and Communication, Advances in Intelligent Systems and Computing 1447, https://doi.org/10.1007/978-981-99-1588-0_13.
  • Published a paper titled “A Survey: Recommender System for Trustworthy” in Journal Juni Khyat ISSN: 2278-4632, Vol-13, Issue-04, No.01, April 2023.
  • Ralla Suresh, Dr. Nagaratna.P. Hegde “Ensemble heart disease Prediction using Enhanced feature selection by genetic algorithm and best accuracy obtained using NB, SVM and KNN” in journal Juni Khyat ISSN: 2278-4632 Vol-11 Issue-12 No.01 December 2021(Publisher: Maru Bhumi Sodh Sansthan UGC care journal).
  • Ralla Suresh, Dr. Nagaratna.P. Hegde “Efficient and Reliable prediction of heart disease using integration of Genetic algorithm and Naïve Bayes algorithm in Python” in International Journal of Creative Research Thoughts, ISSN: 2320-2882 Volume 5 Issue 4, November 2017. (Publisher: IJ publications UGC Journal).
  • Ralla Suresh, Dr. Nagaratna.P. Hegde “Intelligent heart prediction system using integration of genetic algorithm and Naïve Bayes” in proceeding of National conference of Emerging trends in Data Science and Intelligent Computing (NCETDSIC-2018), July 2018. (JNTU Sultanpur) .
  • Ralla Suresh, Dr. Nagaratna.P. Hegde “Improved data mining approach to find frequent item set using indirect association rules for web recommendation” in proceeding of National conference on Emerging & Innovative trends in computer science (NCEITCS-2015), April 2015. (Vasavi College of Engineering).
  • Published Paper “Web Search using Improved Concept Based Query Refinement” in International Journal, IJCCT Volume-2 ISSUE-7, 2011.
  • Published Paper “Automatic Query Reformulation Using Classification in Web Searching” in International Journal, IJCSI Volume-1 ISSUE-3, 2012.
  • Published Paper “Normalized Transfer of Bulk Data by Using UDP in Dedicated Networks’’ in International Journal IJSSAN Volume-1 ISSUE-3, 2012.
  • Presented a Paper “Recovery of Heterogeneous Aggregation Transaction Failures between Byzantine Processes Using Shared Memory Object Invocation “at International Conference (ITBI-2011).
  • Presented a Paper “Advanced Approach in Query Refinement Using Refinement Filters from Knowledge Base “at National Conference (DaMET 2k11).
  • Presented a Paper “Measuring The Performance of Heterogeneous Distributed Mining Platform with Cache Coherence Problem.” at National Conference (DaMET 2k11).
  • Presented a Paper” An Adaptive High Speed Algorithm for Sharing the Data in Multidimensional Mining” at National Conference (DaMET 2k11).

 Book Publications

  • Authored a comprehensive textbook on Artificial Intelligence, published by Indo-continental Academic Publishers, ISBN: 978-81-966517-3-2.

 Patents

  • Flood Monitoring Device with Alert Mechanism

The flood monitoring device with alert mechanism is a sophisticated tool designed to detect and mitigate the risks associated with flooding. At its core, this device utilizes a network of sensors strategically placed in flood-prone areas, such as riverbanks, coastal regions, or urban areas susceptible to flash floods. These sensors can detect changes in water levels, pressure, and flow rates, providing real-time data on impending flood conditions.

  • A System for Ad Hoc Model Building and Machine Learning Services for Radiology Quality Dashboard and Method Thereof

The present invention discloses a system for AD HOC model building and machine learning services for radiology quality dashboard and method thereof. The system includes, but not limited to, a medical report database including one or more diagnostic multidimensional image data and non-image patient metadata; a processing unit configured to communicate with the medical report database to retrieve a patient-specific input dataset; a machine learning interface to parse the patient-specific input dataset using learned models to determine a clinical domain and relevant image annotations and populate an annotation data using the relevant image annotations; a user interface to apply one or more domain-specific scriptable rules to populate a report template based on the annotation data; and a computation server configured to identify one or more clinically relevant findings based on the populated report template and sending to the user interface through Ad-hoc data modeling.

SKILLS

  • Fast Learner
  • Adaptability
  • Ability to Work Under Pressure
  • Effective Teaching

Administrative Assignments Handling

  • Head of Department
  • Coordinator NEP
  • Department R&D Coordinator
  • Department Anti Ragging Coordinator