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Dr. V. Ravi Kumar

Professor & HOS

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

Professional Exp.:
20 Years

Registration Number:
07150406-123920

Email Address:
ravi.vanoj@aceec.ac.in

Mobile Number:
9989017537

About

Dr. V. Ravi Kumar is a highly qualified professional with an impressive 20 years of teaching experience in the field of Computer Science and Engineering. Over the years, he has made significant contributions to both undergraduate and postgraduate education, particularly in specialized areas such as Data Mining and Machine Learning

His expertise extends beyond the classroom, as he has been actively involved in research focusing on practical implementation and application of his findings. His work bridges the gap between theoretical concepts and real-world solutions, enriching both his teaching and the academic community. 

Dr. Ravi Kumar’s long-standing academic journey reflects his deep commitment to education, mastery of subject matter, and ability to inspire students and colleagues alike with his insights and experience.

Educational Details

  • Ph.D (Computer Science & Engineering), JNTU College of Engineering, Hyderabad – Dec 2023
  • M.Tech (CS), Sri Indu Institute of Engineering & Technology, JNTUH– Dec 2010 
  • B.Tech (CSIT), Nova College of Engineering & Technology, JNTUH- April 2005 

Professional Background

  • Total Experience : 20 Years
  • Professor & HOS, ACE Engineering College, Ankushapur – July 2024 to Till Date
  • Associate Professor, ACE Engineering College, Ankushapur – Jan 2023 to July 2024 
  • Associate Professor , TKR College of Engineering & Technology, Hyderabad (Sep 2016 – Jan 2023)
  • Assistant Professor, TKR College of Engineering & Technology, Hyderabad (Sep 2008 – Sep 2016)
  • Assistant Professor, Nizam College of Engineering & Technology,Deshmuki – Sep 2005 to Sep 2008

Subjects Taught:

  • Data Base Management Systems
  • Computer Networks
  • Unix Programming
  • OOPS through C++
  • C and Data Structures
  • Python Programming 
  • OOPS through JAVA 
  • OOAD
  • Compiler Design
  • ACD
  • Information Security

Core Research Domains:

  • Data Mining
  • Artificial Intelligence and Machine Learning

Research Focus:

PhD Awarded on :”Sequential Pattern Mining Over Large Datasets with Optimal Framework”.

Journals and Conferences:

  • V.Ravikumar, V.PurnachandraRao, “Enhanced MLP to analyze the hidden patterns of customer behaviour in online Retail Store”, Solid state Technology Volume.65, IssueNo.1, Pages: 328-341, Dec-2022.
  • V.Ravikumar, V.PurnachandraRao, “Extended Decision Tree for Finding the Top Item sets in Retail Stores”, Design Engineering, ISSN : 0011-9342, Issue 12, pp: 1227- 1236, Oct  2020.
  • V.Ravikumar, V.PurnachandraRao, “Enhanced SLAP Algorithm to find top frequent itemsets in the online retail store”, Turkish Journal of Computer and Mathematics Education, volume : 03,, pp: 1341- 1347, Oct  2019.
  • V.Ravikumar, V.PurnachandraRao, “An Emphasized Apriori Algorithm for Huge Sequence of Datasets”, International Journal & Magazine of Engineering Technology, Management and Research (IJMETMR), Volume No:3 (2016), Issue No:12 (December), ISSN No: 2348-4845, pp:562-568, December-2016.
  • V.Ravikumar, V.PurnachandraRao, “Mining Sequential Patterns with Multiple Minimum Support for Large Sequence Databases”, International Journal of Computer Science And Technology, ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print), IJCST Vol. 7, Issue 4, pp: 211- 216, Oct – Dec 2016.
  • V.Ravikumar, V.PurnachandraRao, “Kernel Based Apriori Algorithm for Sequential Pattern Mining”, International Journal of Research Volume.04, IssueNo.17, Pages: 2480-2485, Dec-2017.
  • V.Ravikumar, V.PurnachandraRao, “Sequential Pattern, Rule Growth Mining Implication for Knowledge Representation, Identification of Balanced Relationships between Present and Next Stage Medications in Medical Analysis”, Journal of Advanced Research in Dynamical & Control Systems, Vol. 10, 11-Special Issue, ISSN 1943-023X, July 2018.
  • V. Ravi Kumar, Dr. V. Purna Chandra Rao on “Sequential Pattern Mining With Multiple Minimum Support ” International Journal of Technology and Engineering Science  , Vol 4, No. 1, Jan 2016, ISSN No. 2320-8007, pp: 7043-7047 
  • V. Ravi Kumar – “Policy Based File Assured Deletion with Secure Overlay Cloud Storage” in IJCSMC, ISSN No. 2320-088X, pp: 356-363, Dec 2013
  • V. Ravi Kumar, Dr. V. Purna Chandra Rao on “A Survey on sequential Pattern Mining Alogrithms ” International Journal of Technology and Engineering Science , Vol 4, No. 1, May 2016, ISSN No. 2320-8007,PP: 7036-7042
  • V. Ravi Kumar – “A Protected and distributed structure to discover and allocate required information” in IJRRECS, ISSN No. 2321-5461, pp: 1307-1312, Dec 2013
  • V. Ravi Kumar – “Malware Propagation Detection In Mobile Cloud Infrastructure With Architectural Change” in IJCSMC,  Dec 2013
  • V. Ravi Kumar – “Data Model Framework For Intruder Information Sharing In Sensor Networks” in CIIT,   ISSN No. NCE 092010003

Patents:

  • ADVANCED EMBEDDED TECHNOLOGY AND MACHINE LEARNING BASED MEDICAL

Conference Roles:

  • V. Ravi Kumar, Dr. V. Purna Chandra Rao on “An Enhanced Apriori Algorithm for Large Sequence Datasets ” International Conference on Innovations in Computer Science & Engineering-ICICSE – July 2016 (SPRINGER).
  • Wipro,  “Advanced Technology program” on AIML conducted by Talent Next from 21st April 2025 to 25th April 2025
  • Worked as In charge HOD in TKR college.
  • Ratified as Assistant Professor by JNTUH on June 27, 2011 
  • External Judge at TKREC on “A National Level Technical Paper Contest” held on Oct 14, 2009 
  • Internal Judge at TKRCET on “A National Level Technical Symposium held on Oct 07 & 08, 2010
  • Worked as Officer-In charge of Examinations at TKR College of Engineering & Technology, from 2009-2010
  • Part of NBA documentation
  • Coordinator for Prathiba (A Technical Fest) 
  • Class coordinator
  • Project coordinator
  • Preparing Class Schedules

 FDPs & Workshops Attended:

More than 10+ FDPs and workshops, including:

  • ICT Academy, AICTE workshops on AI/ML, Data Mining