📢  News & Notifications

Final Timetable for B.Tech Special Supplementary (One Time Chance) End Semester Examinations – July/August 2026 01 Jul 2026
|
For Admissions Enquire: 8712225044 | admissions@aceec.ac.in

For Admissions Enquire: 8712225044 | admissions@aceec.ac.in

Online Fee Payment Examination Branch Press Releases Careers Contact

For Admissions Enquire : |

Online Fee Payment Examination Branch Press Releases Careers Contact

Faculty

Home » Faculty » Dr. K. Raghavendar
profile

Dr. K. Raghavendar

Associate Professor

Qualification
Ph.D

Professional Exp.
10 Years

Registration Number
4383-170127-111456

Email Address
dr.raghavendar@aceec.ac.in

About

K Raghavendar is an accomplished professional in the field of Computer Science & Engineering, recognized for his contributions to both academic and research. He earned his B.Tech. Degree from Jawaharlal Nehru Technological University in 2012, followed by M. Tech in Computer Science & Engineering in 2015. Recently, he successfully defended his Ph.D. in Computer Science & Engineering from Lovely Professional University in 2024, focusing on innovative approaches in Cloud Cryptography and blockchain security With over 10 years of teaching experience and 5 years dedicated to research, His research prowess is evidenced by his authorship of 18 Scopus indexed papers alongside securing 6 patents in areas spanning cloud computing and blockchain technology. Dr K Raghavendar expertise extends to the forefront of technological advancements, particularly in cloud computing and IOT.

 Educational Details

  • Ph.D in School of Computer Science and Engineering from Lovely   Professional University, Punjab 2024.
  • M.Tech(Computer Science and Engineering) from Amina Institute of Technology affiliated to Jawaharlal Nehru Technological University Hyderabad 2015.
  • B.Tech Information Technology from Sree Visvesvaraya Institute of Technology and Science affiliated to Jawaharlal Nehru Technological University, Hyderabad 2012.
  • IPE in MPC from Vikas Junior Collage – Mahabubnagar from IPE in the year 2008.
  • SSC in ZPHS(Boys) High School -Devarakadra from SSC Board in the year 2006.

Professional Background:

  • Associate Professor, ACE Engineering College, Ankushapur – May 2026 to Till Date
  • Associate Professor, TKR College of Engineering and Technology, Hyderabad – January 2023 to May 2026.
  • Assistant Professor, Keshav Memorial Institute of Technology, Hyderabad – March   2021 to September2021.
  • Assistant Professor, Avanthi’s Scientific Technological & Research Academy, Hyderabad – January 2016 to December 2020.

Subjects Taught:

  • Devops
  • Block Chain Technology
  • Operating Systems
  • Machine Learning
  • Web Technology
  • Python
  • Data Base Management Systems
  • Software Engineering
  • Computer Networks
  • Cloud Computing

Core Research Domains:

  • Cloud Computing
  • IOT
  • Artificial Intelligence and Machine Learning

 Research Focus:

  • Ph D Awarded on” A Hybrid load balance optimization model for Cloud IoT Edge”.

Journals and Conferences: 

  • A Comparative Study of Machine Learning Models for Early Detection of Skin Cancer Using Convolutional Neural Networks Indian Journal of Science and Technology in Dec 2023 .
  • An Effective Study and Analyzing Various Energy Optimization Techniques in Cloud Computing Journal Of Applied Science and Computations on in March 2019, Volume: 6, Issue 3 of JASC with  ISSN NO: 1076-5131.
  • DCS -A Dynamic Cloudlet System for Energy Optimization in Cloud computing International  journal  of Management Technology and Engineering  in January 2019, Volume: 9, Issue 1 of IJMTE: with  ISSN NO: 2249-7455.
  • An Effective Survey On Optimization of Power Consumption Using Predictive Analysis in Cloud Computing  International journal of Research on in June 2019,Page no:839-845 DOI :16.10089. Volume:816.285311.235938.
  • A Hybrid load balance optimization model for Cloud IoT Edge (Solid state publication on   in Feb 2021) Page No: Volume:64 Issue :1) (indexed in Scopus).
  • Utilizing NLP in a Machine Learning Pipeline for Automated Classification of Clinical Documents (International Journal of Research Publication and Reviews (IJRPR)“on July 2023 Volume 4, Issue 7, 2023.
  • Dr K Raghavendar(2023) A Comparative Study of Machine Learning Models for Early Detection of Skin Cancer Using Convolutional Neural Networks INDIAN JOURNAL   oF SCIENCE AND TECHNOLOGY  on Dec 2023 volume 16,Issue 45,Pages  41864194.(Web of Science).
  • Dr K Raghavendar (2023 )  A robust resource allocation model for optimizing data skew and consumption rate in cloud–based IoT environments  Decision Analytics  Journal on June2023Volume7,Article 100200 .(https://doi.org/10.1016/j.dajour.2023.100200)(Scopus).
  • Novel Framework for Resources Optimization to Solve Class Imbalance Problems  .( KATHLEEN 100 – 5th Internal Conference (ICCS) – 2021 at Lovely Professional University,Punjab,Published  in IEEE Explore )  on Indexed in Scopus.
  • Research Aspects On Cloud Computing Edge Computing and Cloud with IOT Edge
  • Computing Applications. (3rd INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCEMENT IN TECHNOLOGY (ICEAT 2022)  at  Malla Reddy Institute of Engineering and Technology )
  • Enhancing Cyber security: Evaluating Machine Learning Algorithms for Effective Threat Detection and Classification( ICDTCCS 2023 conference at Teegala Krishnareddy Engineering  Collage ) 
  • Image Colourization with  open CV ( 2nd International Conference on Recent Innovations in Computer Engineering & Information Technology (ICRICEIT-2023).
  • A comprehensive analysis of machine learning models for image processing  (7 International Conference on Communications and Cyber Physical Engineering (ICCCE 2024) G. Narayanamma Institute of Technology and Science is a women’s engineering college.
  • Early Detection and Prevention of Hypoglycemic Episodes in Diabetics Using Random Forest Algorithm 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL)
  • Dynamic Tumor Analysis Using Deep Embedded Clustering (DEC) for Personalized Oncology Treatment International Conference on Machine Learning and Autonomous Systems (ICMLAS)2025.
  • An Intelli BEF: An Intelligent Bio-Inspired Energy-Efficient and Fault-Tolerant Routing for IoT-Enabled WSNs 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI).
  • Dynamic RL-ACO: Reinforcement Learning-based Ant Colony Optimization for Load Balancing in Cloud Networks 2024 5th International Conference on Smart Electronics and Communication (ICOSEC).
  • Optimizing Cloud-Based IoT Architectures with an Energy-Sensitive Load Balancing Algorithm for Enhanced Resource Utilization and Network Efficiency 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS).
  • Blockchain Anchored Federated Learning and Tokenized Traceability for Sustainable Food Supply Chains. 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS).
  • An Intelli BEF: An Intelligent Bio-Inspired Energy-Efficient and Fault-Tolerant Routing for IoT-Enabled WSNs 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI).
  • Integrated design of an efficient Multi Spectral Imaging and Federated Learning Framework for Precision Crop Disease Diagnosis in Low-Resource Farming Communities” in Scientific Reports on 2026.
  • Holographic Counterpart-Based Real-Time Monitoring for UAV-Assisted Disaster Management in  IEEE Transactions on Consumer Electronics on 2026.
  • An Advanced Deep Learning Framework for Automated Skin Cancer Detection and Classification Anusandhanvallari Vol 2024, No.1 April 2024 ISSN 2229-3388.
  • AI-Driven Transformation of Digital Advertising Strategies Through Machine Learning and Predictive Personalization Anusandhanvallari Vol 2024, No.1 April 2024 ISSN 2229-3388.
  • Smart ICU Security Framework Using IoT and Deep Learning-Based Anomaly Detection  Anusandhanvallari Vol 2023, No.1 April 2023 ISSN 2229-3388.
  • Machine Learning-Based Face Detection and Recognition System for Online Examination Monitoring Anusandhanvallari Vol 2023, No.1 April 2023 ISSN 2229-3388.

Book Contribution:

  • Quantum Machine Learning in Cloud-Based Security Services and Applications: Cloud-Based Security. DOI: 10.4018/979-8-3693-6925-8. ISBN13: 9798369369258.

 

Patents:

  • Machine Learning Classifier on Chronic Kidney Disease  Application Number 202441007148 on 20th Feb 2024.
  • Block Chain-based Framework For  Analyzing The Security And Privacy Of Iot  Devices For Future Enhancem  Application Number  202441025043   On 28th March 2024.
  • Machine Learning Based Real Time Control Of Launch Vehicles Using Wireless Sensor Network  Application Number 202441071116 on  20 th September 2024.
  • IoT-Integrated Irrigation Management System for Optimized Advancing Sustainable Agriculture Applications number 202541014506 on o7 November 2025.
  • Ai Enabled Medical Device For Detection of Alzheimer’s Disease Application Number  UK Design Number 6447086  on 26th May 2025

.FDPs & Workshops Attended:

  • A one day workshop on “Al Tools and Advanced Excel for Enhancing Paper Writing and Project Report.” Organized by Vidya Vihar Institute of Technology, Purnea, Bihar, India&RSP Science Hub,Coimbathur,Tamilnadu,India,on 25th March 2024.
  • Participated in one-week National level faculty development program on “PHP and MY SQL” On VIT CHENNAI.
  • Participated in one-week National level faculty development program on “CRYPTO CURRENCEIEAND BLOCK CHAIN” On CIPT GUNTUR.
  • Participated in one-week National level faculty development program on “CYBER SECURITY” On CIET GUNTUR.
  • Participated in one-week National level faculty development program on “BLOCK CHAIN THE PROMISSING TECHNOLOGY” On SCM GUNTUR.
  • Participated in one-week National level faculty development program on”DATA SCIENCE” On CMR JNTUH.
  • Participated in one-week National level faculty development program on “BEGINNING WITH MICHINE LEARNING” On AVIH JNTUH.
  • Participated in one-week National level faculty development program on “MICHINE LEARNING FOR BEGINERSs” On Spoorthi Enineering Collage JNTUH.
  • Participated in one-week National level faculty development program on”BIG DATA-HADOOP ECO SYSTEM” On CMR JNTUH.
  • Participated in  5 Days Live International Faculty Development Program on” NLP and ChatGPT Applications “- Everyday Learning Program on  with ExcelR solutions.
  • Participated in one-week National Faculty Development Program (FDP) on Cloud Infrastructure (AWS) on Stanley College of Engineering and Technology for Women (SCETW), Telangana in collaborate with Brainovision, in collaboration with the All-India Council for Technical Education (AICTE).
  • Participated in “5 Days Live International Faculty Development Program on”Salesforce Platform Developer 1 “- Conducted ICT Academy 2023 Anurag University.
  • . Participated in 5 Days Live International Faculty Development Program on” Robotic Process Automation “- Conducted ICT Academy 2024  Teegala Krishna reddy  Engineering Collage JNTUH.
  • Participated in 5 Days International Faculty Development Program on “Multi-Disciplinary Research Trends in Artificial Intelligence and Data Science” Organized from 29th January to 02nd February 2024, by the Department of Artificial Intelligence and Data Science, Chaitanya Bharathi Institute of Technology (Autonomous), Hyderabad – 500 075.