Department of Computer Science & Engineering
KITS Warangal
Faculty group mail-id : cse@kitsw.ac.in
Faculty Profile
Address/Contact
Office : Room No. 208/B, Block-II
Phone : 0870-2564888 (ext:299)
Mobile: 9493218993
Education
B.Tech, Computer Science and Engineering, JNTU, Hyderabad. (2004).
M.Tech, Computer Science and Engineering, School of Engineering / Pondicherry Central University. (2009).
Ph.D., Computer Science & Engineering, JNTU, Hyderabad(2020).
Thesis Title: Distributed Fuzzy Associative classification based on Map Reduce Framework for Handling Data Uncertainty and Huge Columnar Data.
Thesis Title: Distributed Fuzzy Associative classification based on Map Reduce Framework for Handling Data Uncertainty and Huge Columnar Data.
Dr. B.Raghuram
Associate professor
Dept. of Computer Science & Engineering
Academic Research IDs
Vidwan ID: 182259
SCOPUS ID: 56026459500
Researcher ID: AAR-2978-2021
Google Scholar ID: YoKGLA0AAAAJ
ORCID ID: --
ACADEMIC AFFILIATION
Details |
FromTo |
Name of the Organization |
||
|---|---|---|---|---|
Assistant Professor |
July, 2010 |
Till Date |
|
Kakatiya Institute of Technology & Science(KITS) |
Assistant Professor |
July, 2009 |
May, 2010 |
|
Sri Kavitha Engineering College, Khammam |
RESEARCH INTERESTS
- Machine Learning and Applications
- Distributed Computing Technologies: Cloud & HDFS
PUBLICATIONS
| Publications in Refereed Journals | |
|---|---|
S. No |
Details |
| Journal Publications Indexed in Web of Science: | |
1 |
Raghuram Bhukya, Rajveer Shastri, et al. “Detection and classification of cardiac arrhythmia using artificial intelligence”, International Journal of System Assurance Engineering and Management, Springer, 2023, Volume 14, published online 1-8, SCI impact factor: 2.0 (Q2) |
2 |
Raghuram Bhukya, Jayadev Gyani, “Fuzzy Generalized Classifier for Distributed Knowledge Discovery”, International Journal of Business Intelligence and Data Mining, InderScinces Publications, Vol.8, No.3, 2013, Pages. 227-243, ISSN 1743-8195. (Q2) |
3 |
Vodithala Swathy and Raghuram Bhukya, “A Novel Political Optimizer-Based Feature Selection with an Optimal Machine Learning Model for Financial Crisis Prediction”, International Journal of Cooperative Information Systems, World Scientific, Volume 29, published online 1-12, SCI impact factor: 1.5 (Q2) |
4 |
Raghuram Bhukya, Shanker Vuppu, et. al, “Crop Disease Detection by Deep Joint Segmentation and Hybrid Classification Model: A CAD-Based Agriculture Development System”, Willey, Journal of Phytopathology, 5 January 2025,(Q2) |
5 |
Ramdas V, Raghuram Bhukya, et. al, “ Hybrid TDR-MI Based Wireless Sensor Network for Underground Water Pipeline Leakage Detection and Localization Using Pressure Residuals and Classifiers”, Springer, Wireless Personal Communications, Volume 139, Issue 2 Page 803-823 (Q2) |
6 |
Rekha Gangula, Raghuram Bhukya, et. al, “Innovative Approaches for Early Alzheimer's Disease Detection Through Novel Analysis of Brain MRI Images”, Vol. 1 No. 1 (2024): Special Issue: International Journal of Maritime Engineering. |
7 |
Raghuram Bhukya, Vodithala Swathy, “Deep learning based sarcasm detection and classification model“, Journal of Intelligent and Fuzzy Systems, IOS Press, Volume 46(1), pp. 2053-2066, |
8 |
Raghuram Bhukya, Arunsundar, B., Tatini, N.B. et al. “Optoelectronic device-based failure management using content based multispectral image retrieval and deep learning model”. Optical and Quantum Electronics, Springer, Volume 56, No. 239 (2024). PP 239 – 254. SCI impact factor: 3.0 (Q2) |
9 |
S. Neelakandan1, A. Arun, Raghuram Bhukya “An Automated Word Embedding with Parameter Tuned Model for Web Crawling” Intelligent Automation & Soft Computing, Vol.32, No.3, 2022, pp.1617-1632, DOI:10.32604/iasc.2022.0222 (Q3) |
| Journal Publications Indexed in Scopus: | |
1 |
Raghuram B, Hanumanthu B, “Brain tumor image identification and classification on the internet of medical things using deep learning”, Measurement: Sensors, Elsevier, 30, 2023. DoI: https://doi.org/10.1016/j.measen.2023.100905 |
2 |
M.S.B. Phridviraj, Raghuram Bhukya, et. al, “A bi-directional Long Short-Term Memory-based Diabetic Retinopathy detection model using retinal fundus images”, Healthcare Analytics, Volume 3, 2023, 100174, ISSN 2772-4425, DoI: https://doi.org/10.1016/j.health.2023.100174. |
3 |
Raghuram Bhukya, Jayadev Gyani “Fuzzy Clustering Driven Fast and Intuitive Classifier Learning with MapReduce Framework”, Journal of Theoretical and Applied Information Technology, Vol.95, No.8, 2017, Pages.1754-1764 ISSN 1992-8645. |
4 |
B.Raghuram, c.srinivas, s.venkatramulu, v.chandrashekar Rao, k.vinaykumar and Dulhare U “A New Smart Communication Protocol And Internet Of Things (Iot) For Waste Management System”, Journal of Theoretical and Applied Information Technology, 2023, vol 101(24). |
5 |
Dulhare U, B. Raghuram,C. Srinivas, S.Venkatramulu,V. Chandrashekar rao, and K.Vinaykumar “Nabgames: Nash Bargaining Game For Improving Coverage In Unmanned Aerial Vehicles (Uav)” Journal of Theoretical and Applied Information Technology, 2023, vol 101(24), pp. 8167–8176. |
6 |
Rajesh Ravula, Devraj G, Raghuram Bhukya, et. al. “Region-based Convolutional Neural Network Driven Alzheimer’s Severity Prediction. International Journal on Recent and Innovation Trends in Computing and Communication”, 11(6), 465–470. 2023. |
7 |
VinayKumar ,S.Venkatramulu, , S. Venkatramulu, V. Chandrashekar rao,C. Srinivas, Sreenivas Pratapagiri and B. Raghuram,” Secure Energy Aware Optimal Routing using Reinforcement Learning-based Decision-Making with a Hybrid Optimization Algorithm in MANET”, International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169 Volume: 11 Issue: 6s, June 2023. DOI: https://doi.org/10.17762/ijritcc.v11i7s.6992. |
8 |
C.Srinivas ,S.Venkatramulu,V.Chandra Shekar Rao, B.Raghuram, K.VinayKumar and Sreenivas Pratapagiri,” Decentralized Machine Learning based Energy efficient routing and Intrusion detection in Unmanned Aerial Network (UAV)”, International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169 Volume: 11 Issue: 6s,June 2023. DOI: https://doi.org/10.17762/ijritcc.v11i6s.6960 |
9 |
Chandra Shekar Rao, K. VinayKumar , Sreenivas Pratapagiri ,C. Srinivas , B. Raghuram and S. Venkatramulu, ”Design and Development IoT based Smart Energy Management Systems in Buildings through LoRa Communication Protocol”, International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169 Volume: 11 Issue: 6s,June,2023. DOI: https://doi.org/10.17762/ijritcc.v11i6s.6826. |
10 |
Venkatramulu, V. Chandra Shekar Rao , K.VinayKumar ,C. Srinivas, B. Raghuram and Shaik rasool, “A Novel Cryptography-Based Multipath Routing Protocol for wireless communications”,International Journal on Recent and InnovationTrends in ComputingandCommunication”, ISSN: 2321-8169 Volume: 11 Issue: 6s, June 2023. DOI: https://doi.org/10.17762/ijritcc.v11i7s.7034 |
Publications in Refereed Conference Proceedings
S.No |
Details |
1 |
B.Raghuram, “Normalized Mutual Information Based Feature Selection Method for Big Data”, 2nd International Conference on Power Engineering and Artificial intelligence, PIES-2024, Springer Soft Computing Research Society and NIT, Uttarakhand, 17th March 2024 |
2 |
B.Raghuram, et.al, “A Recommender system for optimal combo offers with cost benefit Analysis”, Springer, 4th International Conference on Smart Data Intelligence (ICSMDI-2025), Springer link and Kongunadu College of Engineering and Technology, Trichy, India, 3rd Feb 2024 |
3 |
B.Raghuram, Jayadev Gyani, “Survey on Fuzzy Associative Classifications Techniques and Their Performance Evaluation with Different Fuzzy Clustering Techniques over Big Data”, International Conference on Data Science, Machine learning & Applications, ISBN: 978-1-4673-9223-5, Springer Lecture Notes in Electrical Engineering & CMRIT-Hyd, 29-30th March 2019, Hyderabad. |
4 |
B.Raghuram, Jayadev Gyani, “Fuzzy Associative Classification Algorithm Based on MapReduce Framework ”, IEEE International conference on applied and theoretical computing and communication technologies (ICATCCT-2015) ,29-31st Oct 2015, Davanagere, Karnataka, ISBN: 978-1-4673-9222-8, DOI: 10.1109/ICATCCT.2015.7456909. |
5 |
B.Raghuram, Jayadev Gyani, “Incremental associative classification on distributed databases”, IEEE International Conference for Convergence of Technology-2014, 6&7th Apr 2014, Pune, India, ISBN No. 978-1-4799-3759-2, DOI: 10.1109/I2CT.2014.7092139. |
6 |
B.Raghuram, Jayadev Gyani, ” Privacy Preserving Associative Classification on Vertically Partitioned Databases”, in Proc. of 2nd IEEE International Conference on Advanced Communication, Control and Computing, 23rd and 24th August-2012, Ramanathapuram, Tamilnadu, India, pp.202-206, DOI:10.1109/ICACCCT.2012.6320768. |
7 |
B Raghuram, Jayadev Gyani, B.Hanmanthu “Fuzzy Associative Classifier For Distributed Mining,” In Proceedings Of IJCA, International Conference And Workshop On Emerging Trends In Technology (Icwet 2012),24-25 February 2012, Mumbai,India,Pp.431-435, ISBN: 973-93-80864-47-3. |
8 |
B.RaghuRam, G.Aghila, "Mobile-agent based distributed fuzzy associative classification rules generation for OLAM", in Proc. Of Ist IEEE International Conference on Intelligent Agent & Multi-Agent Systems, IAMA 2009, 22-24 July 2009, Chennai, India, pp.1-5. (DOI: 10.1109/IAMA.2009.5228028 |
9 |
B.RaghuRam, G Aghila, “Generalization Based Associative Classification Rules Generation on Fuzzy Data Cubes”, in Proc. Of Ist IEEE International Advance Computing Conference, IACC-2009, 6- 7 March 2009, Patiala, India, pp. 3333-3338. (ISBN: 978-981-08-2465-5). |
10 |
B.RaghuRam, S.V.Krishnarao, G Sridhar, “Distributed Multi Agent Driven Collaborative Filtering Based Recommender Systems”, ICARET-2013, in Proc. Of Ist IEEE International Conference on Advanced Research in Engineering and Technology, 8- 9 February 2013, Vijayawada, India, pp.361-364. (DOI: 03.AETS.2013.2.76). |
11 |
B.Hanmanthu, B.Raghuram, and P.Niranjan, “Optimal Grid-Clustering technique for Bigdata analytics,” In Proceedings of IEEE Sponsored Third International Conference on Innovations in information Embadded and Communication ( ICIIECS'16), 17th March 2016 to 18th March 2016 Organized by Karpagam College of Engineering,Coimbatore, Tamil Nadu, India.Pp.399-403. |
12 |
B.Hanmanthu, B.Raghuram, and P.Niranjan, “SQL Injection Attack Prevention Based on Decision Tree Classification,” In Proceedings of IEEE Sponsored 9th International Conference on Intelligent Systems and Control (ISCO) 2015, 9th -10th January, 2015 Organized by Karpagam College of Engineering,Coimbatore, Tamil Nadu, India.Pp.852-856. |
13 |
B.Hanmanthu, B.Raghuram, And P.Niranjan, “Third Party Privacy Preserving Protocol For Perturbation Based Classification Of Vertically Fragmented Databases,” In Proceedings Of Elsevier, International Conference On Emerging Trends In Electrical, Communication And Information Technologies (Icecit - 2012), 21-23 December 2012, (Srit) Anantapur - 515 701, Andhra Pradesh, India.Pp.109-113. |
BOOKS PUBLISHED
S.No |
Details |
1 |
“Exploring Machine Learning: A Beginners Perspective”, Horizon Books publishers, New Delhi, ISBN: 978-93-91150-01-3. |
2 |
“Integrated Machine Learning Approach for Healthcare Disabilities Tracing and Detection”, Applied Intelligent Techniques: Medicine & Healthcare Book Chapter by IGI Global (igi-global.com) |
3 |
Chapter in Edited Book Survey on Fuzzy Associative Classifications Techniques and Their Performance Evaluation with Different Fuzzy Clustering Techniques over Big Data Lecture Notes in Electrical Engineering 2019, ISBN: 978-981-15-141 |
PROFESSIONAL AFFILIATION
S.No |
Details |
1 |
Member – Institute of Engineers, Kolkata (IE-A-550328-1) |
2 |
Member – Indian Society for Technical Education (ISTE- LM- 88281) |
3 |
Member - Computer Society of India(CSI). |
COURSES TAUGHT
Undergraduate Level |
||||
|---|---|---|---|---|
Courses Taught |
Currently Teaching |
|||
Course |
Semester, Year, Branch |
Course |
Semester, Year, Branch |
|
Artificial Intelligence |
I Sem, IV/IV, CSE |
Machine Learning |
VI Semester III/IV, CSE |
|
Visual Basics.Net |
I Sem, IV/IV, CSE |
Data Analytics Laboratory |
VI Semester III/IV, CSE |
|
JAVA Programming |
I Sem, III/IV, CSE |
|
|
|
Computer Architecture and Organization |
II Sem, II/IV, CSE |
|
|
|
Programming Concepts and Information Technology |
1st Year, CSE |
|
|
|
Mobile Computing |
I Sem, IV/IV, CSE |
|
|
|
Distributed Databases |
II Sem, IV/IV, CSE |
|
|
|
Data mining and Data warehousing |
II Sem, IV/IV, CSE |
|||
Data mining and Data warehousing Laboratory |
VI Sem, III/IV, CSE |
|||
Wireless Communication and networks |
II Sem, IV/IV, CSE |
|||
Object Oriented Analysis and Design |
II Sem, IV/IV, CSE |
|||
Software Project Management |
I Sem, IV/IV, CSE |
|||
Python programming |
VI Sem, III/IV, CSE |
|||
Postgraduate Level |
||||
Advanced Computer Architecture |
I Sem, M.Tech-SE |
Software Quality and Testing |
I Semester, M.Tech(SE) |
|
Data Communication and Computer Networks |
I Sem, M.Tech-VLSI |
|
|
|
Cellular and Mobile Communication |
II Sem, M.Tech-SE |
|
|
|
Software Project Management |
I Sem, M.Tech SE |
|
|
|
Advanced Database Management |
II Sem, M.Tech CSE |
|
|
|
Data Engineering |
II Sem, M.Tech SE |
|||
Data Engineering Laboratory |
II Sem, M.Tech SE |
|||
FACULTY DEVELOPMENT PROGRAMMES/ WORKSHOPS ATTENDED
S. No. |
Programme |
Duration |
Organized by |
1 |
ATAL FDP on “BlockChain Technologies” |
One week 25th Jan to 29th 2020. |
Kakatiya Institute of Technology & Science(KITS), Warangal |
2 |
DST sponsored FDP on “ BlockChain Technologies” |
Two weeks i.e 17th -28th June 2019. |
S.R.Engg. College, Warangal |
3 |
MOOC: Life skills for Engineers(Level II) |
NOV. & DEC., 2018 |
UOH & CDMCA. |
4 |
Swayam & AICTE NPTEL FDP on “Data Mining” |
Feb – Apr 2019 |
AICTE /DHRM-Swayam |
5 |
Internet of Things |
18th to 22nd June, 218. |
E&ICT Academy, NIT, Warangal |
6 |
Software Testing Methodologies |
16th to 21st May 2018. |
E&ICT Academy, NIT, Warangal |
7 |
One week Faculty Development Programme (FDP) on Java Programming" |
2017 |
Oracle University, at Balaji
Institute of Technology & Science(BITS), Narsampet, Warangal |
8 |
Two week Faculty Development Programme (FDP) on “Software Engineering &
Testing Methodologies” |
05th -14th May, 2017 |
Electronics &ICT Academy
Supported by Department of Electronics and information Technology (DeitY) Ministry of Communication and Information Technology, Govt.of India at NIT, Warangal. |
9 |
Software Project Management |
2nd to 7th Feb 2017. |
E&ICT Academy, NIT-Warangal. |
10 |
Software Engineering and Testing Methodologies |
5th to 14th May 2017 |
E&ICT Academy, NIT-Warangal. |
11 |
Department of Science and Technology sponsored Two Weeks Training Programme on “Big Data Analytics” |
08th -18th June, 2016 |
Department of CSE, ACE Engineering College, R.R.Dist. |
12 |
One-Week FDP on “Web Services and IoT” |
1st to 5th December ,2015 |
Dept. of CSE,GNITS, Hyderabad. |
13 |
Two week FDP on "Introduction to Design of Algorithms" |
27.04.2015
to |
IIT, Kharagpur at Balaji
Institute of Technology & Science(BITS), Narsampet, Warangal |
14 |
Faculty on Java Fundamentals and Java Programming |
21st to 26th October, 2013. |
Oracle University, at Balaji
Institute of Technology & Science(BITS), Narsampet, Warangal |
15 |
Faculty Enablement Program- Campus Connect |
8th – 12th October, 2012 |
Infosys Limited at Kakatiya Institute of Technology & Science(KITS), Warangal |
16 |
One day workshop on “Design Patterns “ |
05.08.2015 |
CSI, Kakatiya Institute of Technology & Science(KITS), Warangal |
17 |
Two Day National Level FDP on “Research Insights in Cloud and Big Data” |
19th & 20th, September, 2015. |
Department of CSE&CSI, Kakatiya Institute of Technology & Science(KITS), Warangal |
18 |
One day Seminar on “Teachers Role in an Autonomous Institution” |
29.11.2014 |
Educational Technology Center(ETC), Kakatiya Institute of Technology & Science(KITS), Warangal |
19 |
Two-Day National Seminar on “Emerging Trends and Technologies in Academic Libraries in Digital Era(ETTALDE-2014) |
23.08.2014 |
Department of Library and Information Science, Chaithanya Postgraduate College (Autonoumous), Warangal |
20 |
Two-Day Workshop on “Effective Functioning of an Autonomous Institution” |
17-18 January,2015 |
Educational Technology Center(ETC), Kakatiya Institute of Technology & Science(KITS), Warangal |
21 |
Seminar on “Responsibility of youth in Implementing Technology for Better Society” |
13.12.2014 |
ISTE KITS Warangal Chapter, Kakatiya Institute of Technology & Science(KITS), Warangal |
22 |
Ubicomp 2013:The Internet of Things: Connecting A’s. |
July 13th, 2013. |
C-DAC Hyderabad and JNT University, Hyderabad |
23 |
National Workshop on Cloud computing fundamentals and Aneka platform (US patent). |
11th Dec, 2012. |
C-DAC,JNTU Hyderabad & Manjrasoft-Australia |
24 |
National Workshop on Data Mining on Data Warehousing, |
March 25-26, 2009. |
SPSS-Bangalore & Pondicherry Central University |
PAPERS PRESENTED IN CONFERENCES/SEMINARS/ SYMPOSIA
S. No. |
Title of the Paper presented |
Title of Conference/ Seminar etc. |
Organized by |
1 |
Survey on Fuzzy Associative Classifications Techniques and Their Performance Evaluation with Different Fuzzy Clustering Techniques over Big Data |
Springer - International Conference on Data Science, Machine learning & Applications, |
29-30th March 2019, Hyderabad |
2 |
Fuzzy Associative Classification Algorithm Based on MapReduce Framework |
IEEE International conference on applied and theoretical computing and communication technologies |
29-31st Oct 2015, Davanagere, Karnataka. |
3 |
Incremental associative classification on distributed databases |
IEEE International Conference for Convergence of Technology-2014 |
6&7th Apr 2014, Pune, India |
4 |
Distributed Multi Agent Driven Collaborative Filtering Based Recommender Systems |
IEEE International Conference on Advanced Research in Engineering and Technology |
KL University, 8- 9 February 2013, Vijayawada, India |
5 |
Privacy Preserving Associative Classification on Vertically Partitioned Databases |
IEEE International Conference on Advanced Communication and Computing |
23rd and 24thAugust-2012, Ramanathapuram, Tamilnadu, India |
6 |
Fuzzy Associative Classifier for Distributed Mining |
International Conference and workshop on Emerging Trends in Technology |
24-25 February 2012, Mumbai, India |
7 |
Mobile-agent based distributed fuzzy associative classification rules generation for OLAM |
IEEE International Conference on Intelligent Agent & Multi-Agent Systems |
22-24 July 2009, Chennai, India |
INVITED LECTURES IN CONFERENCE/SEMINAR
S. No. |
Title of Lecture/ Academic Session |
Title of Conference/ Seminar etc. |
Organized by |
1 |
Generative Adversarial Networks & LSTM |
UGC FDP on Machine learning & Data Science, Sep 2023 and Aug 2024 |
UGC-Human resource development cell, JNTUH |
2 |
Advanced Recurrent Models: LSTM and GRU |
UGC- MMTTC, JNTUH 12th & 14th Feb, 2025 |
JNTU HYDERABAD |
3 |
Machine learning optimization algorithms for IoT |
DST Sponsored Two week FDP on “Advances at Internet of Things“, November, 2019. |
Kakatiya Institute of Technology & Science(KITS), Warangal |
4 |
Fuzzy Logic and Applications |
DST Sponsored Workshop on “ Emerging trends in Artificial Intelligence”, February, 2020. |
Kakatiya Institute of Technology & Science(KITS), Warangal |
5 |
Fuzzy sets optimization in classification |
DST Sponsored two week FDP on “Machine Learning in Speech Processing”, December, 2019. |
Kakatiya Institute of Technology & Science(KITS), Warangal |
Best viewed in browser Internet Explorer 9 or above with screen_Resolution
1280X1024