Dr. Suresh Kumar Pemmada

Assistant Professor

Notification

About Me

Dr. Suresh Kumar Pemmada

Dr. Suresh Kumar Pemmada is an Assistant Professor in the Department of Computer Science and Engineering at GITAM (Deemed to be University), Visakhapatnam. He has received M.Tech in Computer Science and Engineering from University College of Engineering, Vizianagaram Campus, JNTUK, Govt. of A.P, India and Doctor of Philosophy in Engineering (Ph.D.) from Veer Surendra Sai University of Technology, Burla, Govt. of Odisha, India. His research and development experience includes over 10 years in academia spanning different Technical Institutes in India. His research interest includes Machine learning, Deep Learning, Optimization, etc. He has published referred articles in various book chapters, conferences and international repute peer reviewed journals of Elsevier, Springer, IEEE etc. His research interests include Machine learning, Deep Learning, Optimization. He has been serving as an active member of reviewer committee for various reputed peer reviewed journals and conferences. He has been associated with International repute conferences such as ICCIDM, CIPR, SCDA, etc.

Date Of Birth: 17 Oct 1986
Address: Department of CSE, GITAM, Visakhapatnam - 530045
Scopus Author Id: 57212573807
Web of Science: AAX-2323-2021
Vidwan Id: 265806

Phone : +91 9885935383
E-mail: reshu.suri@gmail.com
ORCID Id: 0000-0002-5922-0505
Research Gate Id: Click Here..

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Conferences

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Journals

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Book Chapters

My Resume

Education

Doctor of Philosophy (Ph.D in Engg.)

2018-2022

Veer Surendra Sai University of Technology, Burla, Govt. of Odisha.

Master of Technology (M.Tech)

2010 - 2012

University College of Engineering, JNTUK, Vizianagaram, Govt. of A.P

Bachelor of Technology (B.Tech)

2004 - 2008

G.M.R.Institute of Technology, Rajam.

Experience

Assistant Professor

2022 to till date

GITAM (Deemed to be University)

Assistant Professor

2021 to 2022

Aditya Institute of Technology and Management, Tekkali

Assistant Professor

2017 to 2021

Dr. Lankapalli Bullayya College of Engineering, Visakhapatnam.

Assistant Professor

2012 - 2017

Sri Sivani College of Engineering, ChilakaPalem.

Research Interest

Soft Computing

75%

Deep Learning

80%

Machine Learning

80%

My PUBLICATIONS

Suresh Kumar Pemmada, J. Nayak, and B.naik, "A deep intelligent framework for software risk prediction using improved firefly optimization", Neural Computing and Applications (2023), doi: 10.1007/s00521-023-08756-x. [Indexing: SCOPUS] [Impact Factor: 1.1] [h-Index: 31]

Suresh Kumar Pemmada, J. Nayak, and H. S. Behera, “Model-based Software Defect Prediction from Software Quality Characterized Code Features by using Stacking Ensemble Learning,” Journal of Engineering Science and Technology Review., vol. 15, no. 2, pp. 137–155, 2022, doi: 10.25103/jestr.152.17. [Indexing: SCOPUS] [Impact Factor: 1.1] [h-Index: 31]

Suresh Kumar Pemmada, H. S. Behera, J. Nayak, and B. Naik, “Correlation-based modified long short-term memory network approach for software defect prediction,” Evolving Systems, Feb. 2022, doi: 10.1007/s12530-022-09423-7. [Indexing: SCIE] [SPRINGER]

H. Swapnarekha, H. S. Behera, J. Nayak, B. Naik, and Suresh Kumar Pemmada, “Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India,” SN Computer Science, vol. 2, no. 5, p. 416, Sep. 2021, doi: 10.1007/s42979-021-00808-0.. [Indexing: SCOPUS] [SPRINGER]

Suresh Kumar Pemmada, H. S. Behera, J. Nayak, and B. Naik, “Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature,” Innovations in Systems and Software Engineering, September 2019, pp. 1–22, May 2021,doi: 10.1007/s11334-021-00399-2. [Indexing: ESCI, SCOPUS] [SPRINGER]

Suresh Kumar Pemmada, H. S. Behera, J. Nayak, and B. Naik, “A pragmatic ensemble learning approach for effective software effort estimation,” Innov. Syst. Softw. Eng., Jan. 2021, doi: 10.1007/s11334-020-00379-y. Springer [Indexing: ESCI, SCOPUS]

Suresh Kumar Pemmada, H. S. Behera, Anisha Kumari. K, Janmenjoy Nayak, and Bighnaraj Naik, “Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades,” Comput. Sci. Rev., vol. 38, pp. 100288, 2020, doi: 10.1016/j.cosrev.2020.100288. ELSEVIER [Indexing: SCIE, SCOPUS] [Impact Factor: 7.707]

P. Landa and Suresh kumar Pemmada, “Dynamic Data Segmentation and Virtual Machine Mapping,” Imp. J. Interdiscip. Res., vol. 2, no. 8, pp. 876–879, 2016.

L. Ariyapalli, R. Kumar, and P. Suresh Kumar, “K-Medoids Computation Model Framework for Security in Distributed Architecture Networks,” Int. J. Comput. Appl., vol. 131, no. 14, pp. 1–3, Dec. 2015.

P. Suresh Kumarand M. H. M. K. Prasad, “Multi-Tree Classification for Uncertain Markov Random Fields,” Int. J. Comput. Intell. Res., vol. 9, no. 1, pp. 1–6, 2013.

Suresh Kumar PemmadaJanmenjoy Nayak, " Prediction of Absenteeism at the Workplace: A Light Gradient Boosting Approach," in 5^th International conference Computational Intelligence in Pattern Recognition, 2023, vol. 725, pp. 543–554, Organizer: Techno India, Place : Kolkata, Published by : Lecture Notes in Networks and Systems (LNNS Series), doi: 10.1007/978-981-99-3734-9_44, SPRINGER, Singapore. [Indexing: SCOPUS].

Suresh Kumar Pemmada, Janmenjoy Nayak, H S Behera, Subhashree Mohapatra “An Ensemble Bootstrap Aggregation for Just-in-Time Defect Prediction on a Code Change Level”. In: in 2^nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON), 2022, pp. 1-6, Organizer: Siksha ‘O’ Anusandhan Deemed to be University, Place : Bhubaneswar, India, https://doi.org/10.1109/ODICON54453.2022.10010266, Published by: IEEE Explore, [Indexing: SCOPUS].

Suresh Kumar Pemmada, Janmenjoy Nayak, H S Behera. “Early Detection of Stroke Risk using Optimized Light Gradient Boosting Machine approach based on Demographic data”. In: International Conference on Ambient Intelligence in Health Care. Smart Innovation, Systems and Technologies, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-19-6068-0_28,, Published by: SPRINGER, [Indexing: SCOPUS].

Suresh Kumar Pemmada, Janmenjoy Nayak, H S Behera, Danilo Pelusi. “Light Gradient Boosting Machine in Software Defect Prediction: Concurrent Feature Selection and Hyper Parameter Tuning”. In: International Conference on Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-19-2894-9_32, Published by: SPRINGER, [Indexing: SCOPUS].

Kameswara Rao, B., Prasan, U.D., Jagannadha Rao, M., Pedada, R., Suresh Kumar Pemmada (2022). Identification of Heart Failure in Early Stages Using SMOTE-Integrated AdaBoost Framework. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-9447-9_41, Published by : SPRINGER, [Indexing: SCOPUS].

Suresh Kumar Pemmada, Pedada, R., Nayak, J., Behera, H.S., Sai Pratyusha, G.M., Velugula, V. (2022). QCM Sensor-Based Alcohol Classification Using Ensembled Stacking Model. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-9447-9_49, Published by : SPRINGER, [Indexing: SCOPUS].

Suresh Kumar Pemmada, Anisha Kumari K, Subhashree Mohapatra, Bighnaraj Naik, Janmenjoy Nayak, Manohar Mishra, “CatBoost Ensemble Approach for Diabetes Risk Prediction at Early Stages,” in 1^st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON), 2021, pp. 1-6, Organizer: Siksha ‘O’ Anusandhan Deemed to be University, Place : Bhubaneswar, India, doi: 10.1109/ODICON50556.2021.9428943, Published by : IEEE Explore, [Indexing: SCOPUS].

B. K. Rao, Suresh Kumar Pemmada, D. K. K. Reddy, J. Nayak, and B. Naik, “QCM Sensor-Based Alcohol Classification by Advance Machine Learning Approach,” in 1^st Intelligent Computing in Control and Communication, 2021, vol. 702, pp. 305-320, Organizer: Aditya Institute of Technology and Management, Place : Tekkali, India, Published by : Lecture Notes in Electrical Engineering (LNEE Series), doi: 10.1007/978-981-15-8439-8_25, SPRINGER, Singapore. [Indexing: SCOPUS].

Suresh Kumar Pemmada and H. S. Behera, “Estimating Software Effort Using Neural Network: An Experimental Investigation,” in 1^st Computational Intelligence in Pattern Recognition, 2020, vol. 1120, pp. 165–180, Organizer: IEM, Place : Kolkata, Published by : Advances in Intelligent Systems and Computing (AISC Series), doi: 10.1007/978-981-15-2449-3_14, SPRINGER, Singapore. [Indexing: SCOPUS].

Suresh Kumar Pemmada and H. S. Behera, “Role of Soft Computing Techniques in Software Effort Estimation: An Analytical Study,” in Computational Intelligence in Pattern Recognition, 2020, pp. 807–831, Organizer: IIEST, Place : Shibpur, Published by: Advances in Intelligent Systems and Computing (AISC Series), doi: 10.1007/978-981-13-9042-5_70, SPRINGER, Singapore. [Indexing: SCOPUS]..

G. Santosh Kumar, Ravi Kumar, and Suresh Kumar Pemmada, “A GUI Based Tool for Clustering Graph Streams”, in the Proceedings of A DST Sponsored National Conference on "Recent Trends In Data Mining & Warehousing", Aditya Institute of Technology, Tekkali, Dt : 24^th -25^th November 2015.

P. Suresh Kumar A. Mahesh “Automatic Face Identification Attendance System”, in the Proceedings of National Conference on Computation and Communication, Sri Sivani College of Engineering, Chilakapalem, Dt : 23rd -24th December 2016

P. Suresh Kumar, K. Anisha Kumari, Uttam Ghosh, “An intelligent deep learning approach for colon cancer diagnosis,” in Computational Intelligence in Cancer Diagnosis, Cham: Academic Press, 2023, pp. 195-214. Indexing: [SCOPUS] [ELSEVIER].

P. Suresh Kumar, P. B. Dash, B. K. Rao, S. Vimal, and K. Muhammad, “Early Detection of Chronic Obstructive Pulmonary Disease Using LSTM-Firefly Based Deep Learning Model ,” in Nature-Inspired Optimization Methodologies in Biomedical and Healthcare, Cham: Springer International Publishing, 2023, pp. 247–267. Springer, Cham.[Indexing: SCOPUS] [SPRINGER].

D. K. K. Reddy, H. S. Behera, J. Nayak, A. R. Routray, P. Suresh Kumar, and U. Ghosh, “A Fog-Based Intelligent Secured IoMT Framework for Early Diabetes Prediction,” in Internet of Things, U. Ghosh, C. Chakraborty, L. Garg, and G. Srivastava, Eds. Cham: Springer, 2022, pp. 199–218.[Indexing: SCOPUS] [WILEY].

Janmenjoy Nayak, P. Suresh Kumar, Dukka Karun Kumar Reddy, Bighnaraj Naik, and Danilo Pelusi. "Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges." Cognitive Engineering for Next Generation Computing: A Practical Analytical Approach (2021): 49. [Indexing: SCOPUS] [WILEY].

J. Nayak, P. S. Kumar, D. K. Reddy, and B. Naik, “Identification and classification of hepatitis C virus: an advance machine-learning-based approach,” in Blockchain and Machine Learning for e-Healthcare Systems, Institution of Engineering and Technology, 2020, pp. 393–415.[Indexing: SCOPUS]

PROFESSIONAL ACTIVITIES

“5^th International Conference on Computational Intelligence in Pattern Recognition (CIPR-2023)” at Techno India, EM-4/1, Sector V, Kolkata, West Bengal [Role: Web Chair]. (Date: 27^th- 28^th May 2023).

“4^th International Conference on Computational Intelligence in Pattern Recognition (CIPR-2022)” at Indian Institute of Engineering Science and Technology, Shibpur, Kolkata, West Bengal. [Role: Web Chair]. (Date: 23^rd- 24^th April 2022).

“6^th International Conference on Computational Intelligence in Data Mining (ICCIDM)” at Aditya Institute of Technology and Management, Tekkali, A,P. [Role: Web Chair]. (Date: 11^th- 12^th December 2021).

2^nd International Conference on Innovation in Electrical Power Engineering, Communication, and Computing Technology (IEPCCT)” at Institute of Technical Education and Research, Siksha 'O' Anusandhan, Bhubaneswar. [Role: Web Chair]. (Date: 24- 26 September 2021).

Organized Three-day Faculty Development Programme on “Research Initiatives in Information Technology”, at Dr. Lankapalli Bullayya College of Engineering (Women), Visakhapatnam [Role: Coordinator]. (Date: 1^st June to 3^rd June 2020).

Organized “1^st International Conference on Green Technology for Smart City and Society (GTSCS)” at Institute of Technical Education and Research, Siksha 'O' Anusandhan, Bhubaneswar. [Role: Web Chair]. (Date: 13^th August and 5^th August 2020).

Organized “2^nd International Conference on Computational Intelligence in Pattern Recognition (CIPR-2019)” at Institute of Engineering and Management, Kolkata. [Role: Web Chair]. (Date: 4^th January and 5^th January 2020).

Organized “1^st International Conference on Innovation in Electrical Power Engineering, Communication and Computing Technology” at: Institute of Technical Education and Research, Siksha 'O' Anusandhan, Bhubaneswar. [Role: Web Chair]. (Date: 13^th December and 14^th December 2019).

Organized National Conference on “Computation and Communication at Sri Sivani College of Engineering, Chilakapalem. [Role: Coordinator]. (Date: 24^th December to 25^th December 2016).

Participated “IP Awareness/Training program under”, under National Intellectual Property Awareness Mission on 4th January 2023.

Participated AICTE Recognized Faculty Development Program on “MATLAB - Artificial Intelligence and Optimization Techniques”, from 21st November to 25th November, 2022, organized by NITTTR, Chandigarh in association with Dept. of CSE, IT, Aditya Institute of Technology and Management, Tekkali.

Participated Short Term Course on “Mendelay training”, on 10th November, 2022, I2OR India organized by ELSEVIER.

Participated One Week Faculty Development Program on “Machine Learning and Soft Computing Approaches for Real-time Applications”, from 24th September to 30th September, 2022, organized by E& ICT Academy, NIT Warangal in association with Dept. of CSE, IT, & AIML, Aditya Institute of Technology and Management, Tekkali.

Participated One Week Faculty Development Program on “Amazon Web Services”, from 22^nd August to 27^th August, 2022, organized by Lendi Institute of Engineering and Technology in collaboration with Brain ’O’ vision Solutions India Pvt. Ltd and All India Council for Technical Education (AICTE).

Participated One Week National Level Workshop on “Python Programming”, from 20th June to 26th June, 2022, organized by the Department of CS, Maharaja Sriram Chandra BhanjaDeo (MSCB) University.

ParticipatedAICTE Sponsored QIP Short Term Course on “Recent Trends and Applications in Artificial Intelligence”, from 14^th Mar to 19^th Mar, 2022, organized by the Department of CSE, IIIT- Kancheepuram.

Participated AICTE Sponsored QIP Short Term Course on “Machine Intelligence for Computer Vision”, from 28^th Feb to 05^th Mar, 2022, organized by the Department of CSE, IIIT- Kancheepuram

Participated one week Faculty Development Program on “Artificial Intelligence and Machine Learning”, from 25 to 30 Dec, 2021, organized by EI&CT, IIT Gauwahati, in association with Aditya Institute of Technology and Management, Tekkali.

Participated online workshop on “Elsevier Author Workshop: Fundamentals of Research Article Writing”, 04^th June 2021, organized by School of Engineering and Technology, Centurion University.

Participated in 15 days online workshop on “Application of Data Science for Industries Problem through Python”, from 10^th August 2020 to 28^th August 2020, organized by UCE, JNTUK Kakinada Campus in association with EXCLER.

Participated International Webinar Series organized by Machine Intelligence Research Labs (MIR Labs), USA. Topics include:

An Overview of Machine Learning Based Intelligent Computing and Applications by Prof. Dr. Ganapati Panda, Former Dy Director, IIT Bhubaneswar, India on July 27, 2020
Linear Algebra for Machine Learning by Prof. RNDr. Václav Snášel, CSc., VSB Technical University of Ostrava, Czech Republic on July 23, 2020.
Multi Criteria Decision Making - Trends and Developments by Prof. Dr. Millie Pant, Indian Institute of Technology Roorkee, India on July 23, 2020.
Fundamentals of Reinforcement Learning by Prof. Dr. Lucian Busoniu, Technical University of Cluj-Napoca, Romania on July 22, 2020.
Computational Intelligence in Supply Chain Management by Prof. Dr. Thomas Hanne, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland on July 22, 2020.
Intelligent Data Mining by Prof. Dr. Tzung-Pei Hong, National University of Kaohsiung, Taiwan on July 21, 2020.
Ambient Intelligence: Convergence of Technologies for Smart Living by Prof. Dr. Vincenzo Piuri, Department of Computer Science, Università degli Studi di Milano, Italy on July 20, 2020
Granular Mining in Video Analytics by Prof. Sankar K. Pal, FNA, FASc, FTWAS, FIAPR, FIEEE INSA Distinguished Professor Chair, Distinguished Scientist and former Director, Indian Statistical Institute, India on July 20, 2020
An Affect- based, Smart, Tutoring System with Personalized Learning Facilities of an Indoor Environmental Quality by Prof. Dr Habil. Arturas Kaklauskas, Vilnius Gediminas Technical University, Lithuania on July 20, 2020.

Participated in SCRS Lecture Series on Soft Computing on “Complex Real Parameter Optimization - Differential Evolution and Beyond”, organized by Soft Computing Research Society, New Delhi from 13^th – 15^th July 2020

Participated in One Week online Faculty Development Programme on “Intelligent Computing in Data Science” (ICDS-2020), at Aditya Institute of Technology and Management(A), Tekkali from 6^th – 20^th June 2020.

Participated in Three-day Faculty Development Programme on “Research Initiatives in Information Technology”, at Dr. Lankapalli Bullayya College of Engineering (Women) from 1^st June 2020 to 3^rd June 2020

Participated in “Teaching and Training with Google Classroom” at Dr. Lankapalli Bullayya College of Engineering (Women) from 22^nd May 2020 to 24^th June 2020

Participated 5^th International Conference on “Computational Intelligence in Data Mining” at Veer Surender Sai University of Technology, Burla on 15^th Dec 2018 - 16^th Dec 2018.

Participated 1^st International Conference on “Soft Computing and Data Analytics” (SCDA-2018) at Sri Sivani College of Engineering on 10^th-11^th March 2018.

Participated 3-Day National Level workshop on “Recent trends & Implications of Image Processing (RTIIP – 2k16)” at SSCE, Chilakapalem on 28^th July - 30^th July 2016.

Participated 10-Day Faculty development programme on Data Mining (DM-2k16) at Sri Sivani College of Engineering from 7^th May 2016 - 16^th, May 2016.

Participated in a 3 day National Level FDP on “Outcome based Education (OBE-2015)” at Sri Sivani College of Engineering on 3^rdDec 2015 - 5^th Dec 2015.

Participated in Three Day National Level Workshop on “Advances in Image Processing and Visualization Techniques (AIPVT – 2k15)” at SSCE, Chilakapalem on 30^th Oct 2015 to 1^st Nov 2015.

Participated One Day Workshop on Big Data Analytics on Cloud (BAC - 2015) at SSCE, Chilakapalem on 17^th july 2015.

Participated One day Faculty development Program on Software Project Management in UCE, JNTUK Kakinada Campus held on 6^th Jan2014.

Participated AICTE sponsored National level seminar on Biologically Inspired Computing and its Applications at Sri Sivani College of Engineering Chilakapalem on 22^nd and 23^rd Nov 2013.

Participated Faculty Development Program on Teaching & Learning and Technical Updates at Sri Sivani College of Engineering Chilakapalem on 3^rd may 2013.

Evolutionary Intelligence, Springer, ISSN: 1864-5909

IEEE Access, ISSN: 2169-3536

IET Software, Wiley, ISSN: 1751-8814

International Journal of Image and Graphics, World Scientific, ISSN: 0219-4678

5. Intelligent Automation & Soft Computing, Tech Science Press, ISSN: 1079-8587

1^st International Conference on “Green Technology for Smart City and Society”, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan University, Bhubaneswar, India

2^nd International Conference on “Intelligent and Smart Computing in Data Analytics”, K L University, Guntur, Andhra Pradesh, India

2^nd International Conference on “Computational Intelligence in Pattern Recognition”, Institute Of Engineering and Management, Kolkata

1^st International Conference on “Innovation in Electrical Power Engineering, Communication and Computing Technology”, Institute of Technical Education and Research, Siksha 'O' Anusandhan, Bhubaneswar.

1^st International Conference on Application of Robotics in Industry using Advanced Mechanisms.

1^st International Conference on Computational Intelligence in Pattern Recognition, Indian Institute of Engineering Science and technology, Shibpur.

5^th International Conference on Computational Intelligence in Data Mining at Veer Surender Sai University of Technology, Burla.

Life time member in Institute of Engineers.

COLLABORATIONS