Associate Professor |
Ph.D. : Computer Science, GITAM (Deemed to be University), Visakhapatnam. – 2021
M.E. : CSE, Hindustan University, Chennai. – 2011
MCA : Andhra University – 2008
BSc : Computer Science, Andhra University – 2005
Teaching Experience : 13 Years
Contact No : 9989178278
SVECW Employee ID : 1258
JNTUK Registration ID : NIL
AICTE Registration ID : NIL
- Machine Learning
- Deep Learning
- Security
- ISTE Life Member
- CSTA
- IAENG
- The IRED
- IACSIT
- Nalavade, Jagannath E., Kolli, Chandra Sekhar, and Kumar, Sanjay Nakharu Prasad. ‘Deep Embedded Clustering with Matrix Factorization Based User Rating Prediction for Collaborative Recommendation’. 1 Jan. 2023 : 169 – 185.
- Kolli, Chandra Sekhar et al. ‘Multiverse Fractional Calculus Based Hybrid Deep Learning and Fusion Approach for Detecting Malicious Behaviours in Cloud Computing Environment’. 1 Jan. 2022 : 193 – 217.
- Tatireddy Subba Reddy, V. V. Krishna Reddy, R. Vijaya Kumar Reddy, Chandra Sekhar Kolli, V. Sitharamulu & Majjaru Chandrababu (2023) SHBO-based U-Net for image segmentation and FSHBO-enabled DBN for classification using hyperspectral image, The Imaging Science Journal, DOI: 10.1080/13682199.2023.2208927
- Kasiprasad Mannepalli, Suryabhan Pratap Singh, Chandra Sekhar Kolli, Sundeep Raj, Giridhar Reddy Bojja, B. R. Rajakumar, and D. Binu,”Popularity Prediction Model With Context, Time and User Sentiment Information: An Optimization Assisted Deep Learning Technique”, International Journal of Uncertainty, Fuzziness and Knowledge-Based SystemsVol. 31, No. 02, pp. 283-302 (2023).
- Bharati S. Ainapure, Mythili Boopathi, Chandra Sekhar Kolli and C. Jackulin. “Deep Ensemble Model for Spam Classification in Twitter via Sentiment Extraction: Bio-Inspiration-Based Classification Model”, 2022 International Journal of Image and Graphics, 2022, doi: https://doi.org/10.1142/S0219467823500341-
- Kolli, C. S., & T., U. D. (2022). Hybrid Optimization and Deep Learning for Detecting Fraud Transactions in the Bank. International Journal of Information Security and Privacy (IJISP), 16(1), 1-20. http://doi.org/10.4018/IJISP.300323
- Bhingarkar, S., Revathi, S.T., Kolli, C.S. et al. An effective optimization enabled deep learning based Malicious behaviour detection in cloud computing. Int J Intell Robot Appl (2022). https://doi.org/10.1007/s41315-022-00239-x
- Kolli, Chandra Sekhar and Uma Devi Tatavarthi. “Money Transaction Fraud Detection Using Harris Grey Wolf-Based Deep Stacked Auto Encoder.” IJACI vol.13, no.1 2022: pp.1-21. http://doi.org/10.4018/IJACI.293157
- Kolli, C.S. and Tatavarthi, U.D. (2021), “Fraud detection in bank transaction with wrapper model and Harris water optimization-based deep recurrent neural network”, Kybernetes, Vol. 50 No. 6, pp. 1731-1750. https://doi.org/10.1108/K-04-2020-0239
- Published a paper titled “Versatile approach for Creating, Managing and Strengthening lost free password using Iterative Alignment Algorithm” in Fraud detection in bank transaction with wrapper model and Harris water optimization-based deep recurrent neural network national Journal of Scientific and Technology Research ISSN: 2277-8616, Volume 9, Issue 1, January 2020
- Published a Paper titled “Isolation Forest and XG Boosting for Classifying Credit Card Fraudulent Transactions” in International Journal of Innovative Technology and Exploring Engineering. ISSN:2278-3075, Volume 8, Issue 8, June 2019
- Published a Paper Titled” Hybrid K-Mir Algorithm to Predict Type of Lung Cancer Among Stoicism” in International Journal of Innovative Technology and Exploring Engineering, ISSN: 2278-3075, Volume-8 Issue4 -Feb 2019.
- Published a Paper in JARDCS, Titled “Internet of Things: A Survey on Security Threats and Study on Azure and AWS IoT Frameworks”, ISSN: 2237-2243 Volume 10, Issue 9, Sep 2018.
- M. K. Ch, M. S. K. Munaga, C. S. Kolli and S. K. Maddila, “Real-Time Water Quality Tracking and Alert System with IoT Integration,” 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India, 2023, pp. 1013-1018, doi: 10.1109/ICPCSN58827.2023.00172.
- C. S. Kolli, S. Faiz Ahamed, G. A. K. S. R. Kumar, S. K. Maddila, Y. Komali and S. Rao Bheesetty, “Underwater Image Quality Enhancement using Multiscale Image Fusion,” 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 1064-1070, doi: 10.1109/ICAISS58487.2023.10250695.
- Majjaru Chandrababu; V. V. Krishna Reddy; Chandra Sekhar Kolli; K. Chokkanathan; Mohan Kumar Chandol; Durgaprasad Gangodkar,”Prediction of chronic kidney disease from patient record using ensemble ranking SVM”, INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND COMPUTING TECHNOLOGIES (ICBECT ’22), 21–25 March 2022, Chennai, India. AIP Conference Proceedings 2603, 020014 (2023), https://doi.org/10.1063/5.0126114
- S. Nagineni, C. S. Kolli et al., “An Efficient and Robust Deep Learning Approach to Predict Air Pollution by Employing Long Short-Term Memory,” 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), 2022, pp. 423-428, doi: 10.1109/ICIRCA54612.2022.9985722.
- N. K. Anushkannan, V. R. Kumbhar, S. K. Maddila, C. S. Kolli, B. Vidhya and R. G. Vidhya, “YOLO Algorithm for Helmet Detection in Industries for Safety Purpose,” 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), 2022, pp. 225-230, doi: 10.1109/ICOSEC54921.2022.9952154.
- M. K. Chandol, M. K. Rao and C. S. Kolli, “Modelling a Dense N Model for Anomaly Prediction in IoT Environment,” 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), 2022, pp. 410-415, doi: 10.1109/ICIRCA54612.2022.9985656.
- C. S. Kolli, M. P. Raghunath, S. Meenakshi, K. Maheswari, C. F. Britto and S. Kushwaha, “Efficient Development of Supervised Learning Algorithm for kidney Stone Prediction,” 2022 International Conference on Inventive Computation Technologies (ICICT), 2022, pp. 1373-1379, doi: 10.1109/ICICT54344.2022.9850573.
- Kondamadugula, Y.R., Kumar, A.S.K., Adapa, P.Bheemireddy, H.R., Kolli, C.S.(2021). Session tracking with user authentication: 12th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2021, 2021, 2021-August, pp. 588–591
- Presented a Paper titled “A Systematic Review on Anomaly Based Intrusion Detection System” in IOP Conference Series: Materials Science and Engineering, 2020 981(2)022010, index in Scopus in 2020.
Srinivasulu, S., Kavitha, M., Kolli, C.S. (2020). Wireless Technology over Internet of Things. In: Venkata Krishna, P., Obaidat, M. (eds) Emerging Research in Data Engineering Systems and Computer - Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_54
- Kolli, C.S., Krishna Reddy, V.V., Kavitha, M. (2020). A Critical Review on Internet of Things to Empower the Living Style of Physically Challenged People. In: Venkata Krishna, P., Obaidat, M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_55
- Chandra Sekhar Kolli, Mohan Kumar Ch, Ramasamy G published a book chapter titled “Detecting Payment Fraud Using Automatic Feature Engineering with Harris Grey Wolf Deep Neural Network” in “Internet of Things: Robotic and Drone Technology”, 2021, pp. 71–80.
- C.R. Aditya*, Chandra Sekhar Kolli, Korla Swaroopa, S. Hemavathi, and Santosh Karajgi contributed a chapter titled “Deploying Deep Learning Models on the Google Cloud Platform for Disease Prediction” in the book chapter “AI and IoT-based Intelligent Healthcare & Sanitation,” pp. 255-268 (14), DOI: 10.2174/9789815136531123010019.
- Rajesh Kumar Patnaik*, Chandra Sekhar Kolli, N. Mohan, S. Kirubakaran, and Ranjan Walia contributed a chapter titled “Power Generation Prediction in Solar PV Systems by Machine Learning Approach” in the book chapter “Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective,” pp. 141-160 (20), DOI: 10.2174/9789815136173123010010.
- B. Radha*, Chandra Sekhar Kolli, K R Prasanna Kumar, Perumalraja Rengaraju, S. Kamalesh, and Ahmed Mateen Buttar contributed a chapter titled “Machine Learning-based Predictive Analysis and Algorithm for the Analysis Severity of Breast Cancer” in the book chapter “AI and IoT-based Intelligent Healthcare & Sanitation,” pp. 83-97 (15), DOI: 10.2174/9789815136531123010008.
- A. Kumaraswamy*, Chandra Sekhar Kolli, Sagaya Aurelia, P. Vasantha Kumar, and M. Lakshminarayana contributed a chapter titled “Garbage Management and Monitoring System Using IoT Applications” in the book chapter “Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective,” pp. 125-140 (16), DOI: 10.2174/9789815136173123010009.
- Dr. Chandra Sekhar Kolli published a book titled “Artificial Intelligence and ChatGPT” with Scientific International Publishing House, ISBN No: 9789357576031, in November 2023.
- Dr. Chandra Sekhar Kolli and Dr. D. Venkata Naga Raju published a book titled “Fraud Detection in Banking: AI Strategies for Financial Institutions” with ISBN No: 978-620-7-45283-5, in December 2023.
- Dr. Chandra Sekhar Kolli was awarded the Best Teacher Award for the Academic Year 2019-20 by Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur.
- Dr. Chandra Sekhar Kolli qualified in “Wipro Talent Next 2020” and was awarded as a Wipro Certified Faculty.
- Chandra Sekhar Kolli was granted an Australian Patent for “A Method for Fraud Detection in a Bank Transaction with a Wrapper Model and a Harris Water Optimization-Based Deep Recurrent Neural Network.” Application Number: 2021106075, Granted on: August 20, 2021.
- Chandra Sekhar Kolli published an Indian Patent on “ATM Card and Fingerprint-based Authentication System for Online Banking using a Smartphone.” Application Number: 202041015194, Filing Date: April 7, 2020, Published on: June 5, 2020.
- Dr. Chandra Sekhar Kolli attended the Paper Pal webinar on “How to Use Generative AI Tools Ethically in Your Academic Writing” conducted by Dr. Amina Yonis and Dr. Asad Naveed on December 13, 2023.
- Dr. Chandra Sekhar Kolli participated in a workshop on “AU Tools” conducted by Be 10X on November 18, 2023.
- Dr. Chandra Sekhar Kolli attended an FDP on Large Language Models in AI from October 4 to October 7, 2023, jointly conducted by Andhra Pradesh Information Technology Academy, a Unit of Dept. of IT, ES, Government of Andhra Pradesh, and Blackbuck Engineers Pvt. Ltd.
- Dr. Chandra Sekhar Kolli participated in a Five-Day FDP on “Power of Visualization in Analytics” organized by the Department of IT, CSE, AIML, BVRIT Hyderabad College of Engineering for Women from August 16th to August 21st, 2023.
- Dr. Chandra Sekhar Kolli participated in a Five-Day FDP on “Research Methodology on Machine Learning and Data Science” from July 10th to July 14th, 2023, organized by Dept. CSE, AIML, AI&DS, BV Raju Institute of Technology, Narsapur, Telangana.
- Dr. Chandra Sekhar Kolli participated in a “One-Week Faculty Development Program on Mathematical Modelling for Data Science” from June 19th to June 24th, 2023, organized by VNR Vignana Jyothi Institute of Engineering and Technology.
- Dr. Chandra Sekhar Kolli participated in a Professional Development Workshop on Digital Creativity Skills as part of the Adobe Academic Essentials program in June 2023.
- Dr. Chandra Sekhar Kolli has successfully participated in the “3rd One-Week International Workshop on Technical Writing using LaTeX (Online)”, organized by the School of Electronics Engineering (SENSE) at VIT-AP University, Amaravati, India from 30th March -5th April 2023
- Dr. Chandra Sekhar Kolli attended a webinar on Advancing Higher Education with Industry Led Micro – Credentials on 2nd Feb 2023
- Dr. Chandra Sekhar Kolli organized the “30 Days Internet of Things Masterclass” from July 12, 2023, to August 12, 2023, in collaboration with Pantech eLearning and Pantech Solutions.
- Acted as a Peer Reviewer for “Kybernetes” Journal, ISSN: 1758-7883, in the Year 2021 and 2023,
- URL: https://publons.com/wos-op/review/author/Sd8Tjkg4/
- URL: https://publons.com/wos-op/review/author/HwoGo7fD/
- Served as a Reviewer for the “Journal of Economics, Management and Trade” Indexing in : Ebsco, Proquest, Index Copernicus, Google Scholar, NAAS -4.93 (2020). for the Year 2023
- Dr. Chandra Sekhar Kolli acted as a reviewer for the “18th INDIACom, 11th 2024 International Conference on Computing for Sustainable Global Development” in February 2024.
- Dr. Chandra Sekhar Kolli acted as a reviewer for the “IEEE International Conference on Automation and Computation (AUTOCOM-24)” in January 2024.
- Dr. Chandra Sekhar Kolli served as a technical reviewer at the International Conference on “Computational Intelligence, Networks, and Security (ICCINS 2023)” held on December 22nd and 23rd, 2023. The conference was organized by the Department of CSE, IT, AI&DS of Lakireddy Bali Reddy College of Engineering, Mylavaram.
- Dr. Chandra Sekhar Kolli contributed as a reviewer in the 3rd International Conference on Machine Intelligence & Smart Systems (MISS – 2K23) organized by ShriRam Institute of Information Technology, Banmore, Madhya Pradesh, and the School of Information Technology, RGPV, Bhopal, on February 24-25, 2023.
