Projects:

Journals:

1. Geet Sahu, Sunidhi Singh, Mohan Karnati, Malay Kishore Dutta, A Multi-level Deep Neural Network incorporating Vision Transformer for Electroencephalography signals based Schizophrenia Detection, SN Computer Science (2026) [Scopus].
   
2. Geet Sahu, Meetesh Nevendra, Mohan Karnati, A Lightweight Dual-Branch Multi-Level Attentive Attributes With Constraint Fusion Network for EEG-Based Alzheimer’s Detection, IEEE Transactions on Automation Science and Engineering (2026) [SCIE],   Q1.
   
3. V.V. Bhandarkar, M. Karnati, P. Tandon, Real-time layer-by-layer defects detection in 3D-printed multi-goemetry polymer components using deep learning, Measurement (2026) [SCIE], Q1.  
4. Sandesh Kalambe , Mohan Karnati , Ayan Seal , Marek Penhaker , Ondrej Krejcar, " A Separable Bi-Pyramidal Feature Attention Network to Detect Alzheimer’s using Electroencephalographic Signals", IEEE Transactions on Instruments and Measurements (2025) [SCIE], Q1.  
   
5. Chauhan Rashi, Mohan Karnati, Singh Pradeep. "Fused multi-level attention features with a constraint fusion network for colorectal tissue classification using histopathological images", Computers and Electrical Engineering (2025) [SCIE], Q1.
6. VV Bhandarkar, Mohan Karnati, P Tandon. "Defect Detection in 3D-Printed Polymer Parts using Deep Learning Models: A Comparative Investigation", Rapid Prototyping Journal (2025) [SCIE], Q1.
7. Mohan Karnati, Geet Sahu, Gautam Verma, Ayan Seal, Malay Kishore Dutta, Joanna Jaworek-Korjakowska. "BMFCNet: Blended Multi-Level Features withConstraint Fusion Network for DepressionDetection from EEG Signals", IEEE Transactions on Instruments and Measurements (2025) [SCIE], Q1.
8. Karnati Mohan, Geet Sahu, Akanksha Yadav, Ayan Seal, Joanna Jaworek-Korjakowska, Marek Penhaker, and Ondrej Krejcar. "MD-DCNN: Multi-Scale Dilation-Based Deep Convolution Neural Network for epilepsy detection using electroencephalogram signals." Knowledge-Based Systems (2024): 112322 [SCIE], Q1.
9. Maurya Ritesh, Nageshwar Nath Pandey, Mohan Karnati, and Geet Sahu. "Breaking Barriers in Cancer Diagnosis: Super‐Light Compact Convolution Transformer for Colon and Lung Cancer Detection." International Journal of Imaging Systems and Technology 34, no. 5 (2024): e23154 [SCIE], Q2.
10. Maurya Ritesh, Satyajit Mahapatra, Malay Kishore Dutta, Vibhav Prakash Singh, Mohan Karnati, Geet Sahu, and Nageshwar Nath Pandey. "Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine." Scientific Reports 14, no. 1 (2024): 17785 [SCIE], Q1.
11. Maurya Ritesh, Nageshwar Nath Pandey, Malay Kishore Dutta, and Mohan Karnati. "FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach." Biomedical Signal Processing and Control 94 (2024): 106258 [SCIE], Q1.
12. Karnati Mohan, Ayan Seal, Joanna Jaworek-Korjakowska, and Ondrej Krejcar. "Facial expression recognition in-the-wild using blended feature attention network." IEEE Transactions on Instrumentation and Measurement (2023) [SCIE], Q1.
13. Karnati Mohan, Geet Sahu, Abhishek Gupta, Ayan Seal, and Ondrej Krejcar. "A pyramidal spatial-based feature attention network for schizophrenia detection using electroencephalography signals." IEEE Transactions on Cognitive and Developmental Systems (2023) [SCIE], Q1.
14. Sahu Geet, Mohan Karnati, Abhishek Gupta, and Ayan Seal. "Scz-scan: An automated schizophrenia detection system from electroencephalogram signals." Biomedical Signal Processing and Control 86 (2023): 105206 [SCIE], Q1.
15. Karnati Mohan, Ayan Seal, Debotosh Bhattacharjee, Anis Yazidi, and Ondrej Krejcar. "Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey." IEEE Transactions on Instrumentation and Measurement 72 (2023): 1-31 [SCIE], Q1.
16. Seal Ayan, Rishabh Bajpai, Mohan Karnati, Jagriti Agnihotri, Anis Yazidi, Enrique Herrera-Viedma, and Ondrej Krejcar. "Benchmarks for machine learning in depression discrimination using electroencephalography signals." Applied Intelligence 53, no. 10 (2023): 12666-12683 [SCIE], Q2.
17. Karnati Mohan, Ayan Seal, Anis Yazidi, and Ondrej Krejcar. "Flepnet: feature level ensemble parallel network for facial expression recognition." IEEE Transactions on Affective Computing 13, no. 4 (2022): 2058-2070 [SCIE], Q1.
18. Karnati Mohan, Ayan Seal, Geet Sahu, Anis Yazidi, and Ondrej Krejcar. "A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays." Applied Soft Computing 125 (2022): 109109 [SCIE], Q1.
19. Mohan Karnati, Ayan Seal, Ondrej Krejcar, and Anis Yazidi. "FER-net: facial expression recognition using deep neural net." Neural Computing and Applications 33, no. 15 (2021): 9125-9136 [SCIE], Q1.
20. Karnati Mohan, Ayan Seal, Anis Yazidi, and Ondrej Krejcar. "LieNet: A deep convolution neural network framework for detecting deception." IEEE Transactions on Cognitive and Developmental Systems 14, no. 3 (2021): 971-984 [SCIE], Q1.
21. Mohan Karnati, Ayan Seal, Ondrej Krejcar, and Anis Yazidi. "Facial expression recognition using local gravitational force descriptor-based deep convolution neural networks." IEEE Transactions on Instrumentation and Measurement 70 (2020): 1-12 [SCIE], Q1.

Conferences:

1. Surinder Kaur, Karnati Mohan, Improved Salient Object Detection Via CBAM-Integrated Pyramidal Feature Attention Network, 2026 5th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0, 1-6, IEEE.
2. Kunal Patel, Karnati Mohan, Lightweight Deep Neural Network with Spatial and Channel Attention Module for Deepfake Image Classification. World Conference on Artificial Intelligence: Advances and Applications, Springer Nature Switzerland
3. Verma, G., Karnati, M., Lakshita, L., Agarwal, N. and Singh, S., 2025, October. EEG-based depression detection using residual-inception-BiLSTM-attention module. In AIP Conference Proceedings (Vol. 3297, No. 1, p. 050020). AIP Publishing LLC.
4. Rashi Chauhan, Mohan Karnati, Pradeep Singh. "Attention Based Deep Neural Network for Classification of Kidney Ailments Using CT Images." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), 1-5, IEEE.
5. Maurya Ritesh, Parth Thirwarni, T. Gopalakrishnan, and Mohan Karnati. "Combining Focal loss with Cross-entropy loss for Pneumonia Classification with a Weighted Sampling Approach." In 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), vol. 2, pp. 1-5. IEEE, 2024.
   
6. Maurya Ritesh, Ambica Pradhan, Gopalakrishnan Thirumoorthy, Priya Saravanan, Geet Sahu, and Mohan Karnati. "FourierCNN: Skin cancer Classification using Convolution Neural Network Fortified with Fast Fourier Transform." In 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), vol. 2, pp. 1-4. IEEE, 2024.
   
7. Maurya Ritesh, Drishti Arora, T. Gopalakrishnan, Ankita R. Deshpande, Malay Kishore Dutta, and Mohan Karnati. "Combining Deep Features with the Invariant Local Binary Pattern features for Skin Cancer Classification." In 2023 IEEE Pune Section International Conference (PuneCon), pp. 1-5. IEEE, 2023.
   
8. Sahu Geet, Mohan Karnati, Ayush Singh Rajput, Mayank Chaudhary, Ritesh Maurya, and Malay Kishore Dutta. "Attention-based Transfer Learning Approach using Spatial Pyramid Pooling for Diagnosis of Polycystic Ovary Syndrome." In 2023 9th International Conference on Signal Processing and Communication (ICSC), pp. 238-243. IEEE, 2023.
   
9. Chauhan Rashi, Mohan Karnati, Malay Kishore Dutta, and Radim Burget. "Plant Disease Identification Using a Dual Self-Attention Modified Residual-Inception Network." In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 170-175. IEEE, 2023.
   
10. Rashid Suzain, Mohan Karnati, Garmia Aggarwal, Malay Kishore Dutta, Pavel Sikora, and Radim Burget. "Attention-Based Multiscale Deep Neural Network for Diagnosis of Polycystic Ovary Syndrome Using Ovarian Ultrasound Images." In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 44-49. IEEE, 2023.
    
11. Verma Gautam, Mohan Karnati, Malay Kishore Dutta, Vojtech Myska, and Anzhelika Mezina. "Attention-Based VGG-Residual-Inception Module for EEG-Based Depression Detection." In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 33-37. IEEE, 2023.
    
12. Sinha Himanshi, Mohan Karnati, Garmia Aggarwal, Malay Kishore Dutta, Anzhelika Mezina, and Radim Burget. "DMRBNet: Dilated Multi-Scale Residual Block-Based Deep Network for Detection of Breast Cancer from MRI Images." In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 38-43. IEEE, 2023.
    
13. Mohan Karnati, and Ayan Seal. "Deception detection on “Bag-of-Lies”: integration of multi-modal data using machine learning algorithms." In Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020, pp. 445-456. Springer Singapore, 2021.
    

Patent:

1. Mohan Karnati, Ayan Seal, Chinmaya Panigrahy, Debotosh Bhattacharjee, Ondrej Krejcar, An Edge Detection System Using Differential Box Counting-based Fractal Dimension. Application No: 202022106314, G06E 7/13, GR, 2021. (Granted)
   
2. PRIYADARSINI, Madhukrishna, KARNATI Mohan, SAHU Geet, A SYSTEM FOR WATER CONSERVATION, Application No.202621034292, Indian Patent (Published)
   

Google Scholor ID: https://scholar.google.com/citations?user=BSTidncAAAAJ&hl=en&oi=ao  

Scopus Id: https://www.scopus.com/authid/detail.uri?authorId=57224313309

ORCID: https://orcid.org/0000-0002-1346-4950

DBLP: https://dblp.org/pid/282/4785.html

Educational Qualifications:

• Ph.D. (CSE, 2023), Department of Computer Science and Engineering, PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India. 

Title of Thesis: Deep Learning Techniques for Facial Expression Recognition in-the-wild.

• M.Tech. (CSE, 2020), PDPM IIITDMJ, Jabalpur, India.
• B.Tech. (CSE, 2016), JNTU, Hyderabad, India.
• Intermediate (12th) (2012),Narayana Junior College, Andhra Pradesh, India.
• HSE (10th) (2010), Z.P.H.S, Marrigudem, Andhra Pradesh, India.

Work Experience 

• Assistant Professor in Department of Computer Science & Engineering, National Institute of Technology Raipur, Chhattisgarh, India (January 2024-Till Date).
• Assistant Professor in Amity Centre for Artificial Intelligence, Amity University, Noida, India (April 2023- January 2024).
• Data Scientist in Dados Analytics, California, USA, (July 2022- September 2023).

Teaching:

Supervision:

• Ph.D. Supervision (Ongoing)-5

• P.G. (M.TECH.): 2

• U.G. (B.TECH.) 

Administrative Responsibilities:

1. Faculty-Incharge of Vikram Sarabhai Hall (Erstwhile D-2 NKN Virtual Classroom) NIT Raipur, August 2024- till date.
2. Faculty-Incharge for Summer Internship (CS&E) NIT Raipur, April 2024- till date.
3. Faculty-Incharge Testing and Consultancy (CS&E) NIT Raipur, July 2024- till date.
4. Faculty-Incharge Website/Webpage (CS&E) NIT Raipur, July 2024- till date.
5. Member of Antiragging committe NIT Raipur, July- 2024- till date.
6. Department Coordinator (CS&E) for 3rd Research Scholars’ Conclave 2024 NIT Raipur
7. Coordinator of PG & Ph.D. for Viksit Bharat, Department of Computer Science and Engineering NIT Raipur, Feb 2024- till date.
8. Departmental coordinator for Indian Science, Technology, and Engineering facilities Map (I-STEM).
9. Departmental coordinator for Post-Delivery Specification Verification of purchase order.
10. Assistant Exam Superintendent, NIT Raipur [9 March 2026 to till date]

Keynote Speaker/Invited Talk/Expert Lectures:

1. Delivered an expert lecture on “Mathematical and Scientific Computing with Python” on June 17, 2024, from 3:00 PM to 5:00 PM in hybrid mode. The session was jointly organized by the Departments of Computer Science and Engineering at NIT Warangal and NIT Raipur.

2. Delivered an expert lecture on “Introduction to Python and Machine Learning Applications” on October 14–15, 2024, in offline mode. The program was organized by the Department of Computer Science and Engineering, Bhilai Institute of Technology, Raipur.

3. Delivered an online expert lecture on “Deepfake Image Detection Using Deep Learning Models” on November 16, 2024, from 6:00 PM to 8:00 PM. The session was conducted as part of the Faculty Development Program on “Deep Learning with Generative AI for Computer Vision,” organized by the Electronics and ICT Academy, PDPM IIITDM Jabalpur.

4. Delivered an expert lecture on “Cybersecurity” on January 11, 2025, from 3:00 PM to 4:30 PM. The session was organized by the Office of the Governor of Chhattisgarh, Raipur.

5. Delivered an online expert lecture on “Mathematical and Scientific Computing with Python” on January 16, 2025, from 6:00 PM to 8:00 PM. The lecture was part of the 4th Online Workshop on “Data Science and Its Applications,” held from January 13–29, 2025, and organized by the Department of Computer Science and Engineering, NIT Raipur.

6. Delivered an online expert lecture on “Medical Image Analysis Using Artificial Intelligence Techniques” on February 18–19, 2025, from 11:00 AM to 1:00 PM. The sessions included both theoretical and practical components and were organized by the Department of Computer Science and Engineering, Baderia Global Institute of Engineering and Management, Jabalpur, Madhya Pradesh.

7. Delivered online expert lectures on “Artificial Intelligence in Cyber-Physical Systems” from February 19–24, 2025, from 5:30 PM to 7:00 PM. The program was organized by the Department of Computer Science and Engineering, NIT Raipur.

8. Delivered an online expert lecture on “Deepfake Detection Using Deep Learning Models” on February 23, 2025, from 11:30 AM to 1:00 PM. The session was conducted as part of the Faculty Development Program on “AI in Deep Learning,” organized by the Electronics and ICT Academy, PDPM IIITDM Jabalpur.

9. Delivered an expert lecture on “Deepfakes” during the Faculty Development Program on “Generative AI for Computer Vision,” held from March 9–19, 2026. The program was organized by the Electronics and ICT Academy, PDPM IIITDM Jabalpur.

10. Delivered an online expert lecture on “Deep Learning for Healthcare: CNNs, RNNs, and Transformers” on July 8, 2026, from 2:00 PM to 4:00 PM. The session was conducted as part of the E&ICT-sponsored Faculty Development Program on “Transforming Healthcare with AI: From Data to Decision,” jointly organized by the Electronics and ICT Academy and the Department of Computer Science and Engineering, NIT Warangal, in association with the Department of Computer Science and Engineering, NIT Raipur.

11. Delivered an online hands-on session on “Building Healthcare AI Models Using Python and TensorFlow/PyTorch” on July 16, 2026, from 2:00 PM to 4:00 PM. The session was delivered as part of the E&ICT-sponsored Faculty Development Program on “Transforming Healthcare with AI: From Data to Decision,” jointly organized by the Electronics and ICT Academy and the Department of Computer Science and Engineering, NIT Warangal, in association with the Department of Computer Science and Engineering, NIT Raipur.

12. Delivered an online hands-on expert session on “Medical Image Analysis Using Convolutional Neural Networks (CNNs)” on July 21, 2026, from 4:00 PM to 6:00 PM, as part of the Faculty Development Program on “Accuracy, Trust, and Ethics in Healthcare AI.”

13. Delivered an online expert lecture on “Advanced GANs and Applications: conditional GAN, CycleGAN, StyleGAN; augmentation, translation and synthesis” on August 19, 2026, from 2:00 PM to 4:00 PM. The session was conducted as part of the E&ICT-sponsored Faculty Development Program on “Generative AI for Computer Vision,” jointly organized by the Electronics and ICT Academy and the Department of Computer Science and Engineering, NIT Warangal, in association with the Department of Computer Science and Engineering, NIT Raipur.

14. Delivered an online hands-on expert session on “Case Study: Deepfakes: Deepfake Generation/Detection” on August 26, 2026, from 2:00 PM to 4:00 PM. The session was conducted as part of the E&ICT-sponsored Faculty Development Program on “Generative AI for Computer Vision,” jointly organized by the Electronics and ICT Academy and the Department of Computer Science and Engineering, NIT Warangal, in association with the Department of Computer Science and Engineering, NIT Raipur.

15. Delivered an online hands-on expert session on “Machine Learning Techniques for Early Prediction of Cardiovascular Events” on August 27, 2026, from 2:00 PM to 4:00 PM. Electronics and ICT Academy, NIT Warangal, Department of CSE, National Institute of Technology Warangal are organizing the E & ICT Sponsored Online FDP on Transforming AI-Enabled Digital Twin Framework for Early Prediction and Monitoring of Cardiovascular Events Using Wearable IoT Data from 10th to 21st August 2026, in association with Department of CSE, National Institute of Technology Raipur, Sponsored by Ministry of Electronics and Information Technology (MeitY), Government of India. 
    

Chaired Sessions at International Conferences:

1. Session chair for Technical Session #19: 17:00 PM-19:00 PM at13th IEEE International Conference on Intelligent Systems and Embedded Design (ISED-2025), NIT Raipur.

List of Workshops/Seminars/Conferences/FDPs Organized:

1.  2nd International Conference on Computational Intelligence & Network Security (ICCINS-2025), NIT Raipur, as organizing secretary, Duration: 03-04-2025 to 04-04-2025
   
2. E & ICT Sponsored Online FDP on Generative AI for Computer Vision (18th to 28th August 2026)
   

 Certiciation Courses:

1. Completed a short-term course on “Advanced Robotic Process Automation” from February 18–22, 2026, jointly organized by NIT Raipur and C-DAC Kolkata.
2. Completed the One-Week Faculty Development Programme on “Advanced Topics in Fintech Security” from March 17–21, 2025. The programme was jointly organized by the Department of Information Technology, NIT Raipur, and the Department of Computer Science and Engineering, IIIT Bhilai, under the ISEA-III initiative sponsored by the Ministry of Electronics and Information Technology, Government of India.
3. Completed the Five-Day International Workshop on “Next-Gen Quantum Intelligence: AI for Network Optimization and Entanglement (NGQI-AINE-26)” from July 6–10, 2026. The workshop was organized by the Department of Information Technology, NIT Raipur, and sponsored by SPARC, Government of India.

Editorial Board:

1. Associate Editor of Advances in Computational Intelligence, Springer

Reviewer in International Journals:

• IEEE Transactions on Affective Computing.
• IEEE Transactions on Industrial Informatics.
• IEEE Transactions on Cognitive and Developmental Systems.
• IEEE Transactions on Human-Machine Systems.
• IEEE Transactions on Instrumentation and Measurement
• IEEE Transactions Human Machine Systems
• Computer Methods in Biomechanics and Biomedical Engineering
  
• Biomedical Signals Processing and Control
• Computers in Biology and Medicine
• Computers and Electronics in Agriculture
• Brain Research
• Computers and Electrical Engineering
• International Journal of Data Science and Analytics
  
• Health Services and Outcomes Research
  Methodology
  
• Cluster Computing
  
• International Journal of Machine Learning and
  Cybernetics
• Plos One
• IEEE Access
• Neural Processing Letters
  
• Multimedia Tools and Applications
  
• Scientific Reports

Awards:

• Recieved best thesis award conducted by IEEE Conference on Information \& Communication Technology, PDPM IIITDM Jabalpur, India, During December 15-17, 2023.
• Recieved Silver medal for the best dissertation work in the post graduate programme of study for the year 2023 (Ph.D.) during July 11, 2024 (IIITDMJ-2024 Convocation).
• Recieved best paper award on Improved Salient Object Detection Via CBAM-Integrated Pyramidal Feature Attention Network, 2026 5th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0, IEEE.