faculty-profile

Dr. K. Sreedhar Reddy

info

Associate Professor

Electronics & Communication Engineering

JNTU Hyderabad

15 Years

web-pages

Medical Image Analysis, Medical Imaging, Deep Learning, Artificial Intelligence, Fuzzy and Clustering Applications, Adaptive Partial Differential Equations, and Brain Computer Interface

Deep learning with data augmentation, Hybrid deep learning, Image Denoising, Segmentation and Classification

Educational
Qualifications
(From Highest)

2021

Ph.D. in Medical Image Processing from JNTU Hyderabad

2009

M.Tech. in Communication Systems from JNTU Hyderabad

2005

B.Tech in Electronics and Communication Engineering from JNTU Hyderabad

Professional
Experience

2023

Associate Professor at SR University, Warangal, from 2023-07-01 to Till Date.

2014

Assistant Professor at SR Engineering College, Warangal, from 2014-07-04 to 2023-06-30.

2010

Assistant Professor at Vivekananda Institute of Technology and Science, Karimnagar, from 2010-06-01 to 2014-06-26.

2006

Assistant Professor at Sri Kottam Tulasi Reddy Memorial College of Engineering, Mahaboobnagar, from 2006-07-06 to 2007-05-15.

2005

Assistant Professor at Vathsalya Institute of Science and Technology, Bhongiri, from 2005-07-04 to 2006-05-19.

Student
Supervision

4

Ph.D

4

PG

32

UG

Key Publications

Sreedhar Kollem, Katta Ramalinga Reddy, Ch Rajendra Prasad, Avishek Chakraborty, J. Ajayan, S. Sreejith, Sandip Bhattacharya, LMI Leo Joseph, and Ravichander Janapati. "AlexNetNDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz based data augmentation." International Journal of Imaging Systems and Technology (2023) (Wiley, Impact factor: 3.3)

Sreedhar Kollem, Katta Ramalinga Reddy, and Duggirala Srinivasa Rao. "A novel diffusivity function-based image denoising for MRI medical images." Multimedia Tools and Applications (2023): 1-33. (Springer, Impact factor: 3.6)

Sreejith, S., LMI Leo Joseph, Sreedhar Kollem, V. T. Vijumon, and J. Ajayan. "Biodegradable Sensors: A Comprehensive Review." Measurement (2023): 113261. (Elsevier, Impact factor: 5.6)

Sreedhar Kollem, Ch Rajendra Prasad, J. Ajayan, V. Malathy, and Akkala Subbarao. "Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage." Multimedia Tools and Applications 82, no. 14 (2023): 20741-20770. (Springer, Impact factor: 3.6)

Sreedhar Kollem, Katta Ramalinga Reddy, Duggirala Srinivasa Rao, Chintha Rajendra Prasad, V. Malathy, J. Ajayan, and Deboraj Muchahary. "Image denoising for magnetic resonance imaging medical images using improved generalized cross?validation based on the diffusivity function." International Journal of Imaging Systems and Technology 32, no. 4 (2022): 1263-1285. (Wiley, Impact factor: 3.3)

Bhattacharya, Sandip, Mohammed Imran Hussain, John Ajayan, Shubham Tayal, Louis Maria Irudaya Leo Joseph, Sreedhar Kollem, Usha Desai, Syed Musthak Ahmed, and Ravichander Janapati. "Analysis of read speed latency in 6TSRAM cell using multilayered graphene nanoribbon and cu based nano?interconnects for high performance memory circuit design." ETRI Journal (2022). (Wiley, Impact factor: 1.4)

Sreejith, S., J. Ajayan, Sreedhar Kollem, and B. Sivasankari. "A comprehensive review on thin film amorphous silicon solar cells." Silicon (2022): 1-17. (Springer, Impact factor: 2.941)

Bhattacharya, Sandip, J. Ajayan, D. Nirmal, Shubham Tayal, Sreedhar Kollem, and LMI Leo Joseph. "Investigation on DC/RF performance of LG= 19 nm heterogeneous integrated Ga0. 15In0. 85As/InAs/Ga0. 15In0. 85As composite channel InP HEMT on silicon substrate for future beyond 5G and quantum computing applications." Silicon 14, no. 15 (2022): 9581-9588. (Springer, Impact factor: 2.941)

Sreedhar Kollem, Katta Ramalinga Reddy, and Duggirala Srinivasa Rao. "Improved partial differential equation-based total variation approach to non-subsampled contourlet transform for medical image denoising." Multimedia Tools and Applications 80, no. 2 (2021): 2663-2689. (Springer, Impact factor: 2.557)

Sreedhar Kollem, Katta Ramalinga Reddy, and Duggirala Srinivasa Rao. "An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation." Multimedia Tools and Applications 80, no. 1 (2021): 409-437. (Springer, Impact factor: 2.557)

Muchahary, Deboraj, Kodam Priyanka, Lakum Sai Ram, Aarthi Prahitha, and Sreedhar Kollem. "Performance enhancement through optimization of metal oxide electron transport layer in hybrid solar cell." Optik 248 (2021): 168102. (Elsevier, Impact factor: 2.84)

Sreedhar Kollem, Katta Rama Linga Reddy, and Duggirala Srinivasa Rao. "Modified transform based gamma correction for MRI tumor image denoising and segmentation by optimized histon?based elephant herding algorithm." International Journal of Imaging Systems and Technology 30, no. 4 (2020): 1271-1293. (Wiley, Impact factor: 2.2)

Sreedhar Kollem, Katta Rama Linga Reddy, and Duggirala Srinivasa Rao. "Denoising and segmentation of MR images using fourth order non?linear adaptive PDE and new convergent clustering." International Journal of Imaging Systems and Technology 29, no. 3 (2019): 195-209. (Wiley, Impact factor: 2.2)

Ajayan, J., P. Mohankumar, D. Nirmal, LMI Leo Joseph, Sandip Bhattacharya, S. Sreejith, Sreedhar Kollem, Shashank Rebelli, Shubham Tayal, and B. Mounika. "Ferroelectric Field Effect Transistors (FeFETs): Advancements, Challenges and Exciting Prospects for Next Generation Non-Volatile Memory (NVM) Applications." Materials Today Communications (2023): 105591. (Elsevier, Impact factor: 3.662)

Janapati, Ravichander, Vishwas Dalal, Rakesh Sengupta, Usha Desai, P. V. Raja Shekar, and Sreedhar Kollem. "Towards a more theory-driven BCI using source reconstructed dynamics of EEG time-series." Nano Life 12, no. 02 (2022): 2250005. (World Scientific, Impact factor: 1.2)

Sreedhar Kollem "Segmentation of Brain MRI Images Using Multi-Kernel FCM EHO Method." Current Medical Imaging (2023) (accepted). ( Bentham, Impact factor: 1.4)

Sreedhar Kollem, Katta Rama Linga Reddy, and Duggirala Srinivasa Rao. "A review of image denoising and segmentation methods based on medical images." International Journal of Machine Learning and Computing 9, no. 3 (2019): 288-295.

Sreedhar Kollem, K. Rama Linga Reddy, and D. Sreenivasa Rao. "Image denoising by using modified SGHP algorithm." International Journal of Electrical and Computer Engineering 8, no. 2 (2018): 971.

Rajkumar, K., Abbady Saivardhan Reddy, Paladugula Sahith, P. Shiva Krishna Kumar, and Sreedhar Kollem. "An efficient image-denoising method using a deep learning technique." In 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), pp. 1-6. IEEE, 2023.

Singamshetty, Ramyateja, Sangani Sruthi, Kodati Chandhana, Sreedhar Kollem, and Ch Rajendra Prasad. "Brain Tumor Detection Using the Inception Deep Learning Technique." In 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), pp. 1-7. IEEE, 2023.

Sri, Akula Shravya, Bobbili Varshith Reddy, Kanuri Balakrishna, Vollala Akshitha, Sreedhar Kollem, and Ch Rajendra Prasad. "Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App." In 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), pp. 1-7. IEEE, 2023.

Prasad, Ch Rajendra, Banothu Arun, Soma Amulya, Preethi Abboju, Sreedhar Kollem, and Srikanth Yalabaka. "Breast Cancer Classification using CNN with Transfer Learning Models." In 2023 International Conference for Advancement in Technology (ICONAT), pp. 1-5. IEEE, 2023.

Suresh, Gade, Ch Rajendra Prasad, and Sreedhar Kollem. "Telugu Optical Character Recognition Using Deep Learning." In 2022 3rd International Conference for Emerging Technology (INCET), pp. 1-6. IEEE, 2022.

Sreedhar Kollem, LMI Leo Joseph, Usha Desai, Subham Tayal, J. Ajayan, Sandip Bhattacharya, and P. M. Rajasree. "INCNet: Brain Tumor Detection using Inception and Optimization Techniques." In 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), pp. 71-75. IEEE, 2022.

Sreedhar Kollem, Mirza Rahman Baig, Donthireddy Lasya, Eligeti Ashwad Kalyan, and Karre Nithin Varma. "ECG Noise Removal Using FCN DAE Method." In 2022 2nd International Conference on Intelligent Technologies (CONIT), pp. 1-8. IEEE, 2022.

Kumar, Erukulla Vinay, and Sreedhar Kollem. "Brain Tumor Detection using Convolution Neural Network with Data Augmentation." In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), pp. 1129-1134. IEEE, 2022.

Sreedhar Kollem, Katta Ramalinga Reddy, S. Sreejith, Ch Rajendra Prasad, Srinivas Samala, and Thottempudi Pardhu. "A General Regression Neural Network based Blurred Image Restoration." In 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 1-7. IEEE, 2022.

Samala, Srinivas, Ch Rajendra Prasad, Sreedhar Kollem, P. Ramchandar Rao, Srikanth Yalabaka, and Ramu Moola. "Handwritten Telugu Vowel Character Classification Using Modified 25-Layer AlexNET With Transfer Learning." In 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), pp. 1-4. IEEE, 2022.

Prasad, Ch Rajendra, Sreedhar Kollem, Srinivas Samala, P. Ramchandar Rao, Srikanth Yalabaka, and A. Chakradhar. "Devanagari Script Digit Classification using modified AlexNet with Transfer Learning." In 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), pp. 1-4. IEEE, 2022.

Rajendra Prasad, Ch, Polaiah Bojja, Sreedhar Kollem, and P. Ramchandar Rao. "Implementation of Experiential and Project-Based Learning in Mechatronics Course." In Microelectronics, Communication Systems, Machine Learning and Internet of Things: Select Proceedings of MCMI 2020, pp. 607-619. Singapore: Springer Nature Singapore, 2022.

Research Projects / Patents

Project
SYSTEM AND METHOD FOR MANAGING IRRIGATION OF CROPS

SYSTEM AND METHOD FOR MANAGING IRRIGATION OF CROPS, Application No: 202141057817A, Date of filing of Application :13/12/2021, Publication Date : 04/02/2022, The Patent Office Journal No: 05/2022, Dated 04/02/2022, Page No: 5985

Project
SYSTEM AND METHOD FOR FACE RECOGNITION

SYSTEM AND METHOD FOR FACE RECOGNITION, Application No: 202141057818A, Date of filing of Application :13/12/2021, Publication Date : 04/02/2022, The Patent Office Journal No: 05/2022, Dated 04/02/2022, Page No: 5986

Project
ORGANIC FERTILIZER MANUFACTURING SYSTEM AND METHOD

ORGANIC FERTILIZER MANUFACTURING SYSTEM AND METHOD, Application No: 202041013289A, Date of filing of Application :26/03/2020, Publication Date : 03/07/2020, The Patent Office Journal No: 27/2020, Dated 03/07/2020, Page No: 25021

Project
VISUAL AID BASED DROWSINESS DETECTION AND WARNING INITIATION SYSTEM AND METHOD

VISUAL AID BASED DROWSINESS DETECTION AND WARNING INITIATION SYSTEM AND METHOD, Application No: 202241023366A, Date of filing of Application :20/04/2022, Publication Date : 06/05/2022, The Patent Office Journal No: 05/2022, Dated 06/05/2022

Awards and Honors / Achievements

award

UGC NET: qualified in June and December 2014 in the field of Electronic Science

award

GATE: Qualified in 2007, 2010, and 2012

Books

Transmission and Distribution

Sreedhar Kollem

The Charulatha Publications