Department of Computer Science and Applications


Research Overview

Advancements in Computer Science Application Research

Our CSA department is committed to nurturing an outstanding research environment while aspiring modestly to achieve global recognition. KLEF ambition is to establish a foundation for research, creativity, and significant influence across various fields in Computer Applications. Our steadfast commitment to research has been integral to our institutional values, driving us to venture into new realms, uncover fresh findings, and leave a profound mark across a spectrum of disciplines.

Through diligent efforts encompassing publications, doctoral degree conferrals, groundbreaking projects, and the acquisition of extramural grants, KLEF has continually enhanced the worldwide repository of knowledge. We persistently strive for research eminence, harmonizing with the utmost global benchmarks and catalyzing innovation that advances Computer Applications domain.

Our unwavering quest for excellence in research and innovation is driven by our dedication to incorporating state-of-the-art technology and embracing the best global practices. Our goal is to create a continuous cycle of innovation that nurtures extraordinary solutions, which enlighten the social community.

About RPAC

Our department RPAC acts as the supporting hub for coordinating and executing a range of strategic endeavors aimed at enhancing the research and consultancy endeavors of the university. This encompasses a diverse array of activities, including the establishment of new research infrastructure, collaboration with various funding entities, facilitation of technology transfers, management of intellectual property rights (IPR), supervision of the PhD program, and cultivation of partnerships with industrial sectors to foster collaborative research and consultancy prospects.

Our dedicated team works tirelessly to aid faculty members and researchers in securing funding for their projects, guaranteeing that their concepts receive the essential backing to thrive.

Research Progress and Assessment Committee

As per the R&D regulations of KLEF and recommendations of College Research Committee the following RPAC Committee for the Department of CSA is constituted.

Dr. MNV Kiranbabu RPAC Chairman
Dr. G. Krishna Mohan Member
Dr. V. Valli mayil Member
Dr. K. Kirankumar Member

Our Esteemed Ph.D. Program

Committing to a research degree program entails a substantial long-term dedication, as students deeply involve into a particular area of study. Shortly after enrollment, students engage with their supervisor and doctoral committee to explore potential research questions. Conducting a comprehensive literature review, the team identifies gaps in knowledge and formulates hypotheses. This initial step is pivotal and holds great significance for the student's academic journey.

After formulating the hypothesis, students, supervisors, and other academic colleagues collaborate to determine suitable methodologies for conducting comprehensive experiments and collecting evidence. This signifies the commencement of the investigation. Throughout this research journey, you will encounter numerous challenges. Not all experiments will produce the expected results, and there may be occasions when you must modify your experimental tools or reassess the proposed hypothesis.

Prominent Advantages for Research Scholars

  1. Collaborate with renowned scientists and industry experts of national and international acclaim.
  2. Gain access to cutting-edge research facilities.
  3. Get assistance for publishing your research and participating in conferences.
  4. Participate in regular doctoral webinars and workshops.
  5. Access a wide array of resources, including e-journals, Coursera, Grammarly, and a digital library.

Doctor of Philosophy (Specializations)

The Department of Computer Science and Applications at KL University offers Doctor of Philosophy (PhD) program in the following specialization.

  • Artificial Intelligence & Data Science.
  • Cloud Computing.
  • Computer Networks , Security & Digital Forensics.
  • Software Engineering.

Research Areas

S.No. Research Areas
1 Advanced Data Structures
2 Advances in Computing
3 Artificial Intelligence
4 Artificial Neural Networks
5 Big Data Analytics
6 Bio-Informatics
7 Blockchain and Cryptocurrencies
8 Cloud Computing
9 Cloud Security
10 Cognitive Computing
11 Computer Networks
12 Cryptography & Network Security
13 Data Center Virtualization
14 Data Security & Privacy
15 Data Ware Housing And Mining
16 Deep Learning
17 Digital Image Processing Intelligence
18 Distributed Computing
19 Distributed Databases
20 Evolution of Architectures

Research Labs

Research Labs The Department of CSA possesses the state of the art research labs, established in collaboration with the major industry players.

S.No Research Lab Type of the Lab
1. Software Engineering Research LAB
2. Computer Networks & Security Research LAB
3. Artificial Intelligence & Data Science Research LAB
4. IBM Technology Industry Focused research LAB ( IBM centre of Excellency)
5. Micro Soft Industry Focused research LAB
6. Oracle Industry Focused research LAB
7. CISCO Industry Focused research LAB

The department also has industry collaborated labs with organizations like CISCO, IBM, Microsoft, Oracle and Amazon, a state-of-the-art data center with advanced servers provides highly interactive learning environment with full-fledged hardware and software training facilities and support of the CRASA team for personality development.

Latest Publications Journal Publications

S.No Title of the paper Name of the author/s Name of the Journal
1 Crop Field Monitoring and Disease Detection of Plants in Smart Agriculture using Internet of Things Dr. K. Kiran Kumar, G. Balram International Journal of Advanced Computer Science and Applications
2 Review of Fall Detection Systems using Artificial Intelligence Systems Dr.B.Mouleswararao.K.Rohith Kumar Nuero Quantology
3 Brain tumor recognition using an integrated bat algorithm with convolutional neural network approach RiddhiChawla, Shehab MohamedBeram, C RavindraMurthy, T.Thiruvenkadam , N.P.G.Bhavani R.Saravanakumar, P.J.Sathishkumar Measurment sensors
4 Binary Swallow Swarm Optimization(BSSO) based Feature Selection and Deep Auto-Encoder based Data Clustering(DAEDC) for Classification using Psychological SNP Genomics Data Dr R.Kavitha Dr R.RajeswarI Dr P.G Sivagaminathan Mrs A.Nithya Journal of Jilin University ( Engineering and Technology Edition)
5 Towards sustainable energy efficient routing for dynamic ad-hoc communications in smart cities Vijayalakshmi P.,Tu N. Nguyen,Abraham Dinakaran J.,Korhan Cengiz Elsevier Measurement
6 ResNet Model to Forecast Plant Leaf Disease Brahmji Godi, Appala Srinuvasu Muttipati, Purna chandra rao M, G.V. Satya narayana,G.M Padmaja, G.Sasirekha IEEE EXPLORER
7 Light BGM Model for Credit card Fraud Discovery Appala Srinuvasu Muttipatti, Sangeetha Viswanatham, Radha Dharavathu, Jeyalakshmi Nema Advances in Micro-Electronics, embedded systems and IOT
8 HIGH SECURED ROUTING INFRASTRUCTURES FOR END TO END COMMUNICATION V.SABARIGANESAN , Dr. G. MANIVASAGAM International Journal of Advanced Research in Computer and Communication Engineering
9 An Identification of Breast Cancer Using Datamining Techniques with lgorithms Shrikrishna S Balwante Scopus
10 Multi-View Clustering Based on Multiple Manifold Regularized Non-Negative Sparse Matrix Factorization M. A. Khan, Ghufran Ahmad Khan, J. Khan, M. Rafeek Khan, I. Atoum, N. Ahmad, M. Shahid, M. Ishrat, A. A. Alghamdi IEEE Access
11 Taylor Horse Herd Optmized Deep Fuzzy Clustering and Laplace based K nearest neighbor for web page recommendation Appala Srinivasu Muttipatti N Jeyalakshmi, V.sangeeth Advances in Engineering Software
12 CHEMICAL MINING USING BIG DATA IMAGE ANALYTICS WITH DEEP THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK A Ramana Lakshmi, Mudassir Khan, Ranichandra C, Papiya Mukherjee, Veeramalai Sankaradass, Madiajagan M European Chemical Bulletin
13 QR DECOMPOSITION FOR A LOW POWER CMOS OPERATIONAL TRANSCONDUCTANCE AMPLIFIER OPERATION Papiya Mukherjee, Bandi Aruna, Supriya Tatavarthi European Journal of Molecular & Clinical Medicine (EJMCM)
14 Long range and server inspired internet of smart street lights Singh R, Konda Hari Krishna , Kumar.R. Anita Gehlot, shaik vasreem akram, shushabhan C,Yashwanth Singh.B, Kailash.B, Kapil joshi Bulletin of Electircal Engineering and Informatics


Patent Publication

S. No Name of the patents Name of the Principal
Investigator
Name of the Co- Investigator Date of
application
Type of the Patent
1 A HYBRID DEEP NETWORK FRAMEWORK FOR ANDROID MALWARE DETECTION Dr P.G Sivagaminathan Dr A.Sivaramakrishnan, Mr K.Harikrishna, Dr Sabenabanu Abdulkhadar, Dr V.Vallimayil, Mrs Bhargavi Mopuru 28/07/2022 ORDINARY APPLICATION
2 IOT BASED WASTE MONITORING SYSTEM FOR SMART BINS AND METHOD EMPLOYED THEREOF Dr. KONDURI BHAGAVAN 1 . Dr. KONDURI BHAGAVAN 2 . Dr. VISHNUBHOTLA RAMA KRISHNA 3 . Dr. CHITTA VENKATA PHANI KRISHNA 4 . Dr. AMBATI VENKATA KRISHNA PRASAD 5 . : Dr. KUNDA VENKATA PRASAD 6 . GALLA DAMODARA KRISHNA KISHORE 7 . ALAPARTHI JITENDRA 8 . SALLAGUNDLA BABU 9 . GAJULA SIVA NAGESWARA RAO 20/06/2018 ORDINARY APPLICATION
3 INTELLIGENCE TOPIC VIOLATION DETECTION SYSTEM Dr. P.M. ASHOK KUMAR Dr. P.M. ASHOK KUMAR, Dr. KONDURI BHAGAVAN, DR. N.SRI RAM, MRS. D. KAVITHA, DR. D. RAM BABU 27/04/2018 ORDINARY APPLICATION
4 A HYBRID DEEP NETWORK FRAMEWORK FOR ANDROID MALWARE DETECTION Dr P.G Sivagaminathan Dr A.Sivaramakrishnan, Mr K.Harikrishna, Dr Sabenabanu Abdulkhadar, Dr V.Vallimayil, Mrs Bhargavi Mopuru 28/07/2022 ORDINARY APPLICATION  
5 SINGLE AXIS SOLAR TRACKING SYSTEM AND METHOD THEREOF Dr Sishaj P Simon Dr G Venkateswarlu 17/9/2020 ORDINARY APPLICATION  
6 “Energy Management Method for Fast-E Vehicle Charging Stations with the Energy Storage Dr. M. Sridhar Dr G Venkateswarlu 26/01/2022 ORDINARY APPLICATION  


Editorial Board Member / Reviewer

S.No Name of the faculty Name of the Journal National /
International
Editorial Board
Member /
Reviewer
1 Zulfikar Ali Ansari Advances in Distributed Computing and Artificial Intelligence Journal International Reviewer
2 Dr P.G Sivagaminathan Sci Publications International Reviewer
3 Dr Sabenabanu Abdulkadhar Plosone International Reviewer
4 Dr Sabenabanu Abdulkadhar Computers in Biology and Medicine International Reviewer
5 Ms.M.Bhargavi Journal of Intelligent systems International Reviewer


Book Published

Title of the Book/Chapter Name of the
author(s)
Name of the publisher ISBN / ISSN
number
Deep Learning: Future of Computer Science Ms.M.Bhargavi, Dr. P.Yellamma, Dr.G.Appa Rao, Mr. I.Ravi Shireesh Academic group Publishing House 9789394339965