Publications & Research Profiles

SCI/SCIE=8
ESCI=1
Scopus=1

Q1=3
Q2=5
Q3+Q4=2

Scopus Indexed
Conferences=8

**

Journal Publications

Journal Publications( SCI/SCIE=8, ESCI=1, Scopus=1, Under Review=3)

[1-2024] B. N. Jagadesh1, N.V. RajaSekhar Reddy, Pamula Udayaraju, Vijay Kumar Damera, RameshVatambeti, M. S. Jagadeesh, Ch. Koteswararao. "Enhanced stock market forecasting using dandelion optimization-driven 3D-CNN-GRU classification" Scientific Reports-Q1. IF 3.9- SCIE

[2-2024] Malla, SreeJagadeesh, Kalpana A V, Geetha Vijayaraghavan, and Shobana J. "Secure 3D: Secure and Energy Efficient Localization in 3D Environment using Wireless Sensor Networks" Wireless Personal Communications-Q2. IF 2.2- SCIE

[3-2024] T. D. N. Pavani, and Malla, SreeJagadeesh "A review of deep learning techniques for disaster management in social media: trends and challenges" The European Physical Journal Special Topics (2024)} Springer- Q2 - 2.891- SCI

[4-2024] L Kranthi Kumar, Malla, SreeJagadeesh, and P. J. A. Alphonse. "Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN" Health Information Science and Systems.- Springer SCI-4.1 -Q1- SCI

[5-2023] Malla, SreeJagadeesh, L Kranthi Kumar and P. J. A. Alphonse. "Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets" Artificial intelligence in medicine}. Elsevier SCI-6.2 -Q1- SCI

[6-2023] Malla, SreeJagadeesh, and PK Jakkulla, KM Ganesh, PK Jayapal, and SB Chandanapalli . "Selection of Features Using Adaptive Tunicate Swarm Algorithm with Optimized Deep Learning Model for Thyroid Disease Classification" Ingenierie des Systemes d'Information Springer-IF-1.74 - Q2 - Scopus

[7-2022] Malla, SreeJagadeesh, and P. J. A. Alphonse. "Fake or real news about COVID-19? Pretrained transformer model to detect potential misleading news." The European Physical Journal Special Topics (2022): 1-10.} Springer- Q2 - 2.891- SCI

[8-2022] Malla, SreeJagadeesh, and P. J. A. Alphonse. "An Improved Machine Learning Technique For Identify Informative Covid-19 Tweets" International Journal of System Assurance Engineering and Management-Springer-IF-1.6 - Q2 - ESCI

[9-2022] Malla, SreeJagadeesh, and et.al. "Enhanced Route Optimization for Wireless Networks Using Meta-Heuristic Engineering" Computer Systems Science and Engineering TechScience Press. Q3 - IF 1.486- SCIE

[10-2021] Malla, SreeJagadeesh, and P. J. A. Alphonse. "COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets." Applied Soft Computing 107 (2021): 107495.-Elsevier - Q1-IF -6.6 - SCIE

[11] Malla, SreeJagadeesh, Siva Prasad Bellamkonda, V. Sravanthi, Sri Krishnadevarayalu and A.V.Kalpana "Disaster Tweet Classification: A Comprehensive Survey of Methods and Applications Based on Recent Research" Social Network Analysis and Mining: Springer, Q1-IF -2.3, ESCI, Under Review}

[12] Malla, SreeJagadeesh, and et.al. "Analysis of Social Media Sentiments in the Russia-Ukraine Conflict using NLP and ML Methods" Journal of Intelligent Information Systems Springer, Q2-IF -2.5, SCIE, Under Review}}

[13] Malla, SreeJagadeesh, Abbaraju Sai Sathwik, Bheri Saiteja and Bogineni Harshit "Enhancing Epileptic Seizure Recognition with BiLSTM and CNN Models: (A Data-Driven Approach to Precision Neurological Diagnosis)" Health Information Science and Systems- Springer, Q2-IF -4.5, SCIE, Under Review}

Research

AI, ML, deep learning, NLP, quantum approaches and interdisciplinary applications.

Academic Development

Curriculum design, FDP/STTP coordination and technology-enabled learning.

RESEARCH

Research Interests

Artificial IntelligenceMachine Learning Deep LearningNatural Language ProcessingQuantum NLP / Quantum ML Data ScienceExplainable AIComputer Vision AI in EngineeringEducational Technology

AI & Intelligent Computing

Deep learning, explainable AI, NLP, computer vision, hybrid quantum-classical approaches and data-driven intelligent systems.

Interdisciplinary Applications

Application of AI/ML to engineering analysis, manufacturing, educational technology and data analytics.

ACADEMICS

Teaching & Curriculum

Journal Publications

  • Advanced Data Structures and Algorithms
  • Python Programming and Problem Solving
  • Data Science and Machine Learning
  • Digital Pedagogy
  • Research and Publication Ethics

Curriculum Development

Involved in curriculum and course development in Data Science and Engineering, Engineering Problem Solving with Python, programming, artificial intelligence and emerging computing technologies.

ACADEMIC LEADERSHIP

Training & Professional Activities

2026

Python Programming and Its Applications

Course Coordinator for a five-day Student STTP at NITTTR Kolkata covering Python fundamentals, data structures, functions, OOP, file handling, data analysis, visualization and introductory AI/ML.

Ongoing

Research & Innovation

Member of NITTTR Kolkata's Research and Innovation Committee, contributing to institutional research and innovation activities.

Academic

Faculty & Student Development

Engaged in FDP/STTP organization, hands-on technical training, curriculum development and educational technology initiatives.

CONTACT

Dr. Jagadeesh M S B.Tech, M.Tech, Ph.D(NIT-Trichy)
Associate Professor
Department of Computer Science & Engineering
National Institute of Technical Teachers' Training and Research Kolkata, India
(Under Ministry of Education (MoE), Govt. of India)
Block - FC, Sector - III, Salt Lake City, Kolkata - 700106, India
Email: jagadeesh@nitttrkol.ac.in,  malla.sree@gmail.com(personal)
Contact : +91 33 66251954