Dr. Jagan Mohan Reddy Danda
Associate Professor
About Myself
Hello! I’m Dr. Jagan Mohan Reddy Danda, a passionate researcher, educator, and technology enthusiast with a deep love for problem-solving and innovation. With over a decade of experience spanning academia and industry, I thrive at the intersection of Data Science, Cybersecurity, and Machine Learning, striving to turn complex challenges into impactful solutions.
My academic path has been an exciting blend of discovery and learning. I earned my Master’s in Data Science from University at Buffalo, USA, focusing on Data Mining, Machine Learning, and Big Data Analytics. I completed my Ph.D. in Computer Science from Birla Institute of Technology and Science-Pilani, Hyderabad, specializing in Peer-to-Peer Network Traffic Classification using Applied Machine Learning. Prior to this, I pursued an M.Tech in Computer Science from Jadavpur University, Kolkata, where I focused on Pattern Recognition, Image Processing, Information Coding Theory, Cryptography, and AI.
I have published a wide range of research topics, including AI-driven software defect prediction and neural networks for handwritten character recognition. My work has been featured in prestigious journals and conferences, including Elsevier, IEEE, and Springer.
In addition to research, I have expertise in Full-stack Development, Python, Spark, Node.js, Blockchain, and AWS. I stay at the forefront of technological advancements and hold certifications in AWS Data Analytics – Specialty and CompTIA Cybersecurity Analyst (CySA+), ensuring my skills remain sharp and industry-relevant.
Contact Details
Dr. Jagan Mohan Reddy Danda
Associate Professor
Department of Artificial Intelligence and Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology
Bachupally, Hyderabad-500090
Telangana
Dr. Jagan Mohan Reddy Danda
Associate Professor
Department of Artificial Intelligence and Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology
Bachupally, Hyderabad-500090
Telangana
Email: jmohan1850[at]grietcollege[dot]com
Mobile: +91-91607 38986
Curriculam Vitae
Educational Details
- MS: Data Science from University at Buffalo, New York, USA (2021-2022)
- Ph.D: Computer Science from Birla Institute of Technology & Science-Pilani, Hyderabad (2011-2016)
- M.Tech: Computer Science and Engineering from Jadavpur University, Kolkata (2008-2010)
- B. Tech: Computer Science and Engineering from Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, JNTU Hyderabad (2005-2008)
Professional Background
- Currently working as Associate professor in AIML Engineering Department in Gokaraju Rangaraju Institute of Engineering and Technology.
- Worked as Software Security Researcher in Cisco System, USA from Sep 2022 to Sep 2024.
- Worked as Data Engineer in Cisco System, USA from June 2022 to Sep 2022.
- Worked as Associate Professor in LBRCE from Aug. 2018 to July 2021.
- Worked as Data Scientist in CodeTree Software Solutions Pvt Ltd from Sep. 2017 to Aug. 2018.
- Worked as Sr. Data Analyst in Vedavaag Systems Ltd from Aug. 2016 to Aug. 2017.
- Worked as Teaching Assistant in BITS-Pilani, Hyderabad from July 2011 to May 2016.
Administrative Experience
- Dept. R&D co-ordinator in LBRCE from Aug.2018 to July 2021.
- Mentor for II CSE-D students, NEC.
- Department Member in NBA criteria-8,9 in NEC.
Peer Reviewer
- PeerJ: Computer Science Journal
- International Journal of Data Analytics (IGI Global)
- Multimedia Tools and Applications
- Sadana
- International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC)
- International Journal of Information Security and Privacy (IGI Global)
Courses Taught
- Programming for Problem Solving using C
- Pattern Recognition
- Data Analysis
- PHP Programming
- Cloud Computing
- Graph Theory
- Big Data Technologies
- Linux Programming
- Advanced Computer Networks
- 🐍 Python Programming
- Data Science with R
- Operating Systems
Publications
Published Journals
- Reddy, S. P., Danda, J. M. R., Kolli, M., & Yaramala, A. (2023). "Artificial neural network modelling of aluminium/Al2O3/fly ash hybrid composites prepared by powder metallurgy". International Journal on Interactive Design and Manufacturing (IJIDeM), 1-9.
- Venkateswara Rao, K., D. Srilatha, D. Jagan Mohan Reddy, Venkata Subbaiah Desanamukula, and Mandefro Legesse Kejela. "Regression based price prediction of staple food materials using multivariate models." Scientific Programming 2022, no. 1 (2022): 4572064.
- Reddy, Jagan, K. Rao, and Shaik Fareena Sulthana. "Identification of Indian currency denomination using deep learning." Journal of Critical Reviews 7, no. 18 (2020): 378-384.
- Reddy, Jagan Mohan, and D. A. Vishnuvardhan Reddy. "Recognition of handwritten characters using deep convolutional neural network." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 6s4 (2019).
- Das, Nibaran, Jagan Mohan Reddy, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, and Dipak Kumar Basu. "A statistical–topological feature combination for recognition of handwritten numerals." Applied Soft Computing 12, no. 8 (2012): 2486-2495.
Conference Proceedings International
- Reddy, Jagan Mohan, Abhishek Attuluri, Abhinay Kolli, Nazmus Sakib, Hossain Shahriar, and Alfredo Cuzzocrea. "A Crowd Source System for YouTube Big Data Analytics: Unpacking Values from Data Sprawl." In 2022 IEEE International Conference on Big Data (Big Data), pp. 5451-5457. IEEE, 2022.
- Reddy, Jagan Mohan, K. Muthukumaran, Hossain Shahriar, Victor Clincy, and Nazmus Sakib. "Comprehensive Feature Extraction for Cross-Project Software Defect Prediction." In 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 450-451. IEEE, 2022.
- Danda, Jagan Moahan Reddy, Kumar Priyansh, Hossain Shahriar, Hisham Haddad, Alfredo Cuzzocrea, and Nazmus Sakib. "Predicting Mortality Rate based on Comprehensive Features of Intensive Care Unit Patients." In 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1402-1407. IEEE, 2022.
- Jagan Mohan Reddy, D., and Shaik Johny Basha. "Analysis of Infant Mortality Rate in India Using Time Series Analytics." In Recent Trends in Communication and Intelligent Systems: Proceedings of ICRTCIS 2020, pp. 71-79. Singapore: Springer Singapore, 2021.
- Reddy, D. Jagan Mohan, Sirisha Regella, and Srinivasa Reddy Seelam. "Recruitment prediction using machine learning." In 2020 5th International Conference on Computing, Communication and Security (ICCCS), pp. 1-4. IEEE, 2020.
- Danda, Jagan Mohan Reddy, and Chittaranjan Hota. "Attack identification framework for IoT devices." In Information Systems Design and Intelligent Applications: Proceedings of Third International Conference INDIA 2016, Volume 2, pp. 505-513. Springer India, 2016.
- Reddy, Jagan Mohan, and Chittaranjan Hota. "Heuristic-based real-time p2p traffic identification." In 2015 International Conference on Emerging Information Technology and Engineering Solutions, pp. 38-43. IEEE, 2015.
- Reddy, Jagan Mohan, Chittaranjan Hota, and Muttukrishnan Rajarajan. "Behavior-based P2P traffic identification using fuzzy approach." In 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), pp. 152-155. IEEE, 2015.
- Narang, Pratik, Jagan Mohan Reddy, and Chittaranjan Hota. "Feature selection for detection of peer-to-peer botnet traffic." In Proceedings of the 6th ACM India computing convention, pp. 1-9. 2013.
- Reddy, J. M., D. P. Narang, C. Hota, and P. Kumar. "P2P Traffic Classification for Intrusion Detection Systems." In Security & Privacy Symposium. 2013.
Books Published
- Basha, Shaik Johny, and Jagan Mohan Reddy Danda. "A review on challenges and threats to unmanned aerial vehicles (UAVs)." Unmanned Aerial Vehicles for Internet of Things (IoT) Concepts, Techniques, and Applications (2021): 89-104.
- Hota, Chittaranjan, Pratik Narang, and Jagan Mohan Reddy. "Unwanted Traffic Identification in Large-Scale University Networks: A Case Study." Big Data Analytics: Methods and Applications (2016): 163-187.
Course (Workshop/FDP) Attended
- IEEE International Conference on Big Data (Big Data): A Crowd Source System for YouTube Big Data Analytics: Unpacking Values from Data Sprawl in 2022 – Virtual.
- One-Week Online Faculty Development Program: "Emerging Technologies in Engineering" (1st June-6th July 2020), Malla Reddy College of Engineering, Hyderabad.
- IEEE 46th Annual COMPSAC: Comprehensive Feature Extraction for Cross-Project Software Defect Prediction in 2022 – Virtual.
- FDP on “Business Analytics”: 11th – 16th March 2017 at RVR & JC Guntur, Andhra Pradesh.
- IEEE 46th Annual COMPSAC: Predicting Mortality Rate based on Comprehensive Features of Intensive Care Unit Patients in 2022 – Virtual.
- CoEeRD Globarena Technologies: 25-Aug-2014 at QIS Engineering College, Ongole, Andhra Pradesh.
- Information Systems Design and Intelligent Applications: Proceedings of Third International Conference INDIA 2016: Attack identification framework for IoT devices in 2016 - Vizag.
- ICRTCIS 2020: Analysis of Infant Mortality Rate in India Using Time Series Analytics, 2020 - Virtual.
- International Conference on Applied and Theoretical Computing and Communication Technology: Behavior-based P2P traffic identification using fuzzy approach in 2015 - Davangere.
- 2015 International Conference on Emerging Information Technology and Engineering Solutions: Heuristic-based real-time P2P traffic identification in 2015 - Pune.
- 5th IBM Collaborative Academia Research Exchange Workshop: P2P Traffic Classification using Ensemble Learning in 2013 - Delhi.
- 6th ACM India Computing Convention: Feature Selection for Detection of Peer-to-Peer Botnet Traffic in 2013 - VIT, Vellore.
- Security & Privacy Symposium: P2P Traffic Classification for Intrusion Detection Systems in 2013 - IIT, Kanpur.
Invited Talk / Jury / Resource Person
- Machine Learning to Deep Learning: Trends & Challenges – Resource Person at LBRCE, Mylavaram, Dec 2019.
- Data Science with R – Resource Person at Aditya College of Engineering (ACE), Madanapalle, July 2019.
- Recent Advances and Applications in Cognitive Computing – Resource Person at IARE, Hyderabad, May 2018.
- Peer-to-Peer Network Traffic Classification using Statistical and Behavioral Analysis – Resource Person at Dayananda Sagar College of Engineering, Bangalore, 2016.
Professional Body Membership
- IEEE
- ACM
- IAENG
