Faculty

Core Research Domains:

• Machine Learning 
•  Artificial Intelligence 
• Deep Learning

Research Focus:

PhD Awarded on:” Network Analysis of Disease Associated Genes and Investigation of 

Relationships by Novel Hybrid Hierarchical K-Means Algorithm”.

Journals and Conferences:

International Journals

• T. V. Sai Krishna, “Improving Software Fault Prediction with a Hybrid DE-WOA Optimizer and ANFIS-Enhanced Ensemble Learning” IEEE Access, Early Access, Year 2025, doi:10.1109/ACCESS.2025.3603980. (Scopus & SCI Indexed, Q1 Journal, Impact Factor: 3.6)
• Ravi Kumar Suggala, Pavan Kumar Vadrevu, K Lakshmipathi Raju, Syamala Rao P, T. V. Sai Krishna, Krishna Chaganti,” Detection Of Foliar Pathogens In Tomato Plant Using Deep Bidirectional Recurrent Neural Networks Optimized With Fennec Fox Optimizer” Zhuzao/Foundry, Vol. 28, No. 5, May 2025, Pp. 120-135, Issn:1001-4977. Scopus, Q4 Journal. 
• Annemneedi Lakshmanarao, Thotakura Venkata Sai Krishna, Tummala Srinivasa Ravi Kiran, Chinta Venkata Murali Krishna, Samsani Ushanag And Nandikolla Supriya” Heart Disease Prediction Using Ml Through Enhanced Feature Engineering With Association And Correlation Analysis” Indonesian Journal Of Electrical Engineering And Computer Science, Vol. 34, No. 2, May 2024, Pp. 1122-1130, Issn:2502-4752, Scopus, Q2 Journal. 
• Dr. Thotakura Venkata Sai Krishna, Dr. Tummalapalli Siva Rama Krishna, Srinivas Kalime, Chinta Venkata Murali Krishna, Sadineni Neelima And Rajarao Pbv, “A Novel Ensemble Approach For Twitter Sentiment Classification With Ml And Lstm Algorithms For Real-Time Tweets Analysis”, Indonesian Journal Of Electrical Engineering And Computer Science (Ijeecs), Vol. 34, No. 3, June 2024, Pp. 1904-1914, Issn:2502-4752, Scopus, Q2 Journal. 
• Dr.T.V.Sai Krishna, G V B Mrinalini, K Gayathri, K Sirisha , E Anjali And K Naveena, ”Practical And Secure Multi Keyword Search On Cloud Data”, The International Journal Of Analytical And Experimental Modal Analysis (Ijaema),Vol.12, Issue 4, Issn No: 0886-9367, Pages 1594- 1601, April 2020. 
• Dr.T.V.Saikrishna, A Meena, A Sai Sravani, A Sravani, A Lavanya And A Vennela,” Protection And Privacy Management Of Data In Cloud Computing Using Multi-Layer Architecture”, Joics, Vol. 10, Issue 4, Issn No:1548-7741, April 2020. 
• Dr.T.V.Saikrishna, Gvb Mrinalini, K Gayathri, K Sirisha, E Anjali And K Naveena, ”Enhanced Encryption Scheme For Collecting The Documents In Cloud Computing”, Ijaema, Vol. Xii, Issue Iv, Issn No: 0886-9367, Pages 1336-1343,April 2020. 
• Dr. T. V. Sai Krishna, Dr. A. Yesu Babu, Dr. Deepak Nedunuri, And Ch. Madhava Rao,” In Silico Prediction Of An Unknown Function Of A Protein Using Bioinformatics Tools”, Ijrece Vol. 7, Issue 1, Issn: 2393-9028(Print)| Issn:2348-2281(Online), Pages 1196-1200, Jan.-Mar. 2019, Ugc Journal. 
• T.V. Sai Krishna Et Al.,” A Novel Approach For Two-Level Qr Code For Private Message Sharing And Document Authentication”, International Journal Of Computer Technology & Applications, Vol. 10, Issue 1, Issn: 2229-6093, Pages:1-15, Jan-Feb 2019. 
• Dr. T. V. Sai Krishna, Dr. A. Yesu Babu, Dr. Deepak Nedunuri, Ch. Madhava Rao,” Computer- Aided Sequence Analysis And Homology Modelling Of Breast Cancer Receptor Erbb2”, Ijrece Vol. 6, Issue 4, Issn: 2393-9028(Print)|Issn:2348-2281 (Online), Pages1840-1847, Oct.-Dec. 2018, Ugc Journal. 
• Dr. Adimulam Yesu Babu, Dr. Deepak Nedunuri, And T. Venkata Sai Krishna,” Network Analysis As A Method Of Assessing Terms In A Dataset Comprising Eating Disorders”, International Journal Of Engineering & Technology (Ijet), Vol.7(2.7), Issn No:2227-524x, Pages841-847, 2018, Scopus Indexed Journal. 
• T. Venkata Saikrishna, Yesu Babu Adimulam And R. Kirankumar,” Identification Of Receptors For Eating Disorders Using Gap Statistic Methods”, International Journal Of Computer Applications (Ijca), Vol. 176, Issue 7, Issn:0975-8887, Pages:28-31, Oct. 2017. 
• T. Venkata Sai Krishna, Dr. Yesu Babu Adimulam And Dr. R. Kiran Kumar,” Cluster Segments Identification Using H-K Means Algorithm”, Ijrece Vol.5, Issue4, Issn:2393-9028 (Print)| Issn:2348-2281(Online), Pages 296-301, Oct.-Dec.2017, Ugc Journal. 
• T. Venkata Sai Krishna, Dr. Yesu Babu Adimulam And Dr. R. Kiran Kumar,” Identifying Dissimilarity Matrix Using Network Analysis As A Method In Eating Disorders”, Ijrece Vol. 5, Issue 4, Issn:2393-9028 (Print) |Issn:2348-2281(Online), Pages 47-54, Oct.- Dec. 2017, Ugc Journal. 
• T.V. Sai Krishna, A. Yesu Babu And A. Ananda Rao,” Robust Fuzzy C-Means Cluster Algorithm Through Energy Minimization For Image Segmentation”, Indian Journal Of Science And Technology (Ijst), Vol.9, Issue 22, Issn(Print):0974-6846, Pages:01- 12, June 2016, Scopus Indexed Journal. 
• Machiraju Rajya Lakshmi And T.V. Sai Krishna,” Data Sharing Dynamically For Balancing Cloud Server”, International Journal Of Research (Ijr), Vol. 3, Issue 05, Issn (Print):2348-795x, Pages:189-194, March 2016. 
• Prasanna Kumar N And T.V. Sai Krishna,” Adaptive Robust Document Image Carbon Datingtechnique For Degraded Document Images And Text”, International Journal Of Scientific Engineering And Technology Research (Ijsetr), Vol. 04, Issue08, Issn:2319-8885, Pages:1507- 1510, April 2015. 
• Mahesh Reddy P And T.V. Sai Krishna,” Efficient Anonymous Message Submission Based On A Simplified Secret Sharing Scheme And A Symmetric Key Cryptosystem”, International Journal Of Scientific Engineering And Technology Research (Ijsetr), Vol. 03, Issue 46, Issn:2319-8885, Pages:9275-9283, Dec. 2014. 
• T. V. Sai Krishna And A. Yesu Babu,” Image Segmentation Based On Histogram Analysis And Soft Thresholding”, International Journal Of Computer Applications (Ijca), Vol. 78, Issue 5, Issn:0975-8887, Pages:01-06, September 2013. 
• Anil Kumar Karyamsetty And T. V. Sai Krishna,” Theories And Algorithms For Extensive Xml Tree Sample Identical”, International Journal Of Computer Science And Management Research (Ijcsmr), Vol.2, Issue 3, Issn: 2278 -733x, Pages:1726-1730, Mar. 2013. 
• Mahesh Uddandam And T. V. Sai Krishna,” Delimiting Malicious Users In Pseudo Networks”, The International Journal Of Engineering And Science (Ijes), Vol. 2, Issue 2, Issn:2319-1813, Pages:208-213, 2013. 
• Supraja. Y, T. V. Sai Krishna, P. Venkata Subba Reddy, Dr. M. A. D. Swamy, And Dr. P. Srinivasulu,” Random Forest (Rf) Machine Learning Algorithm To Detect Abnormal Behavior In Cloud Based Mobile Services”, Iracst-International Journal Of Computer Science And Information Technology & Security (Ijcsits), Vol. 3, Issue 6, Issn:2249- 9555, Pages:387-390, 2013. 
• D. Deepthi Rani, T. V. Sai Krishna, G. Dayanandam, And Dr. T. V. Rao,” Tcp Syn Flood Attack Detection And Prevention”, International Journal Of Computer Trends And Technology (Ijctt), Vol. 4, Issue 10, Issn:2231-2803, Pages:3412-3417, Oct. 2013. 
• R. Suneel Manohar And T. V. Sai Krishna,” Irm: File Replication And Consistency Maintenance In P2p With Security Maintenance Through Routers”, Research Journal Of Computer Systems Engineering-Rjcse, Vol.3, Issue 04, Issn:2230-8563, Pages:441-445, 2012. 
• Aparna Varalakshmi, Atul Negi And T. V. Sai Krishna,” Dataset Generation And Feature Extraction For Telugu Hand-Written Recognition”, International Journal Of Computer Science And Telecommunications (Ijcst), Vol.3, Issue 2, Pages:57-59, February2012. 
• T.V. Sai Krishna, Dr. A. Yesubabu, Dr. A. Ananda Rao, And T. Sudha Rani” A Novel Image Retrieval Method Using Segmentation And Color Moments”, Advanced Computing: An International Journal (Acij), Vol. 3, Issue 1, Issn:2229-726x, Pages:75-80, January 2012. 
• Aparna Vara Lakshmi Vemuri, T. V. Sai Krishna And Atul Negi,” Dataset Generation For Ocr”, International Journal Of Computer Trends And Technology (Ijctt) Vol.2issue1, Issn:2231-2803, Pages:48-51, 2011. 
• Anusha Bachina And T.V. Sai Krishna,” Resource Choice In Large Level Scattered Systems By Means Of Accessibility Of Information”, International Journal Of Computer & Organization Trends (Ijcot), Vol.1 Issue3, Issn: 2249- 2593, Pages:45-49, 2011. 
• T.V. Sai Krishna Et Al.,” Data Accessibility For Resource Selection In Large-Scale Distributed Systems”, International Journal Of Computer Science And Information Technologies (Ijcsit), Vol. 2 Issue 5, Issn:0975- 9646, Pages:1910-1922, 2011. 
• T.V. Sai Krishna Et Al.,” Survey On Extreme Programming In Software Engineering”, International Journal Of Computer Trends And Technology (Ijctt), Vol. 2, Issn:2231-2803, Pages:21-24, 2011. 

International Conferences:

• T.V. Sai Krishna; A. Ramya; A. Lakshmanarao; Kanagala Supriya Suhasini; G. Jose Moses; G. Sushma, “An Efficient Intrusion Detection Model With Novel Machine Learning Stacking Ensemble Techniques”, 2025 Ieee Fifth International Conference On Advances In Electrical, Computing, Communication And Sustainable Technologies (Icaect), Bhilai, India, 9-10 Jan. 2025. (Scopus) 
• K.Suresh Babu, Keshetti Sreekala, S.Sushma, And T.V. Sai Krishna, ”Adaptive Ensemble Of MlRegressors And Lstm For Stock Price Prediction”,6th International Conference On Computational Intelligence In Pattern Recognition(Cipr2024), Mscb University, Baripada, Odisha, India, 15-16 March 2024.(Springer) 
• Kanakala Raja Sekhar, G R L M Tayaru, Antharaju K Chakravarthy, Boyina Gopiraju, A.Lakshmanarao, And T.V. Sai Krishna, “An Efficient Lung Cancer Detection Model Using Convnets And Residual Neural Networks”, 2024 Fourth Ieee Sponsored International Conference On Advances In Electrical, Computing, Communications And Sustainable Technologies (Icaect2024), 11-12 January 2024, Bhilai, Chattisgarh, India.(Scopus) 
• T. V. Sai Krishna, V Bhargavi; S Jyothsna; Vuduga Rakesh; Dadi Bikshapathi; And D Saritha, “Leveraging Radial Basis Function Neural Networks With Adaptive Variability Functionality To Predict Wild Fires”, 4th International Conference On Smart Electronics And Communication (Icosec), September 20-22, 2023, India, Pp.1583-1588. (Scopus) 
• T.V. Sai Krishna, Siva Kumar Pathuri, Kasturi Sai Sandeep, Manoj Kumar Padhi, Inakollu Aswani; And D Haritha “An Efficient Machine Learning Classification Model For Diabetes Prediction”, 2023 Ieee12th International Conference On Communication Systems And Network Technologies (Csnt), Bhopal, India, 8-9 April 2023. (Scopus) 
• Naresh Cherukuri, G. Ravi Kumar, Ongole Gandhi, Venkata Sai Krishna Thotakura, Dama Naga Mani, Cmak Zeelan Basha, “Automated Classification Of Rice Leaf Disease Using Deep Learning Approach,” Ieee 5th International Conference On Electronics, Communication And Aerospace Technology (Iceca-2021), Rvs Technical Campus, Coimbatore, Tamil Nadu, India, 2-4, December2021. (Scopus) 
• Kolla Vivek, Mastan Rao Kale, Venkata Sai Krishna Thotakura And K Sushma, “An Efficient Triple-Layered And Double Secured Cryptography Technique In Wireless Sensor Networks, ”2021Ieee International Conference On Distributed Computing, Vlsi, Electrical Circuits And Robotics (2021 Ieee Discover) Organized By Ieee Mangalore Subsection In Association With Ieee Bangalore Section At N.M.A.M Institute Of Technology, Nitte, Karkala Taluk, Udupi District, Karnataka, India, 19-20, November 2021. (Scopus) 
• Deepak Nedunuri; S.Mohan Babu Chowdary; T. Sai Krishna; Marlapalli Krishna; Bandlamudi Sbp Rani, “Identification Of Best Cluster From A Dataset Using Hybrid Hierarchical And Non- Hierarchical Methods, ”Ieee 2nd International Conference On Smart Electronics And Communication(Icosec2021), Kongunadu College Of Engineering & Technology, Trichy, Tamil Nadu, India,7-9, October2021.(Scopus)
• Siva Kumar Pathuri; N. Anbazhagan; Mandal K; T. V. Sai Krishna; And Chitturi Prasad, “A Hybrid Bag-Boost Algorithm For Feature-Based Sentimental Analysis On Mobile Reviews,” Ieee 2nd International Conference On Smart Electronics And Communication (Icosec 2021),  Kongunadu College Of Engineering & Technology, Trichy, Tamil Nadu, India,7-9, October 2021. (Scopus) 
• Naresh Cherukuri; Naga Raju Bethapudi; Venkata Sai Krishna Thotakura; Prasad Chitturi; Cmak Zeelan Basha; And Raja Mani Mummidi, “Deep Learning For Lung Cancer Prediction Using Nscls Patients Ct Information,” Ieee International Conference On Artificial Intelligence & Smart Systems (Icais2021), Jct College Of Engineering & Technology, Coimbatore, Tamil Nadu, India, 25-27, March 2021.(Scopus) 
• T.V. Sai Krishna, A. Yesu Babu And R. Kiran Kumar, “Determination Of Optimal Cluster For A Non-Hierarchical Clustering Paradigm K-Means Algorithm”, Springer Singapore Pte Ltd. 2018, N. Chaki Et. Al. (Eds.), Proceedings Of International Conference On Computational Intelligence And Data Engineering, Lecture Notes On Data Engineering And Communications Technologies , Https://Doi.Org/10.1007/978-981-10-6319-0_26. (Scopus) 
• T.V. Sai Krishna, And A Yesubabu, “Three Phase Segmentation Algorithm For High Resolution Satellite Images,” Ieee International Conference On Nano Science, Engineering & Advanced Computing (Wispnet-2016), Ssn College Of Engineering, Chennai, Tamil Nadu, India, 23-25, March 2016. (Scopus) 
• T.V. Sai Krishna, A Yesu Babu, A Ananda Rao And T Sudha Rani, “Multi-Atlas Based Segmentation Of Brain Images: A Comparison Of Segmentation Methods Based On Em- Based Classification,” International Conference On Nano Science, Engineering & Advanced Computing (Icneac-2011), Swarnandhra College Of Engineering & Technology, Narsapur, Andhra Pradesh, India, 8-10, July 2011, Pp.374-378. 
• T.V. Sai Krishna, N.S. Murthy Sharma, And J.V. Ganeshan, “Online Detection And Prevention Of Phishing Attacks”, International Conference On Advances In Optoelectronics, Information And Communication Technologies (Icoict-2009), Excel India Publishers, S.C.T. College Of Engineering, Pappanamcode, Trivandrum, Kerala, India, 26-27 February 2009, Pp. 479-485. 
• T.V. Sai Krishna, T. Sudha Rani, “On The Optimality Of Wlan Location Determination Systems”, International Conference On Web Sciences (Icws-2009), Excel India Publishers, Koneru Lakshmaiah College Of Engineering, Vaddeswaram, Guntur, Andhra Pradesh, India, 10-11 January 2009, Pp.139-147. 

National Conferences:

• T.V. Sai Krishna, And T. Sudha Rani, “Svm Based Medical Image Segmentation”, National Conference On Soft Computing Techniques And Applications (Ncsta-11), B.V.C Engineering College, Odalarevu, Amalapuram, Andhra Pradesh, India,8-9 Oct 2011, Pp.113-116. 
• T.V. Sai Krishna, T. Sudha Rani, “Medical Image Segmentation: A Comparison Of Two Algorithms”, Recent Trends In Applications Of Mathematics In Science And Technology (Rtamst), Gitam University, Visakhapatnam, Andhra Pradesh, India, 15-16th Apr 2011, Pp13. 
• T.V. Sai Krishna, “Bsmr: Byzanite-Resilient Secure Multicast Routing In Multichip Wireless Networks” For Ritca2010 Conducted By St. Ann’s College Of Engineering And Technology, Vetapalem, Chirala, Andhra Pradesh, India, 30th Oct 2010. 
• A. Anil Kumar, K. Vidhya Shankari and T.V. Sai Krishna, “Pixel-Based Vc Versus Segment- Based Vc”, Technology and Research Advances In Computer Science (Tracs-2010), Aditya Engineering College, Surampalem, Kakinada, Andhra Pradesh, India, 24-25 Sep 2010. 
• T.V. Sai Krishna, “Collaborative Object Notification Framework In Autonomous Network Transactions” For Ncet-2008 Conducted By Integral University, Lucknow, Uttar Pradesh, 29-30 March 2008. 
• T.V. Sai Krishna And T. Srinivasa Rao, “Organizational Forms Of Data Ware Housing: An Explorative Approach” For Emet-2007 Conducted By Oxford Engineering College, Trichy, Tamil Nadu, April L5th 2007. 
• T.V. Sai Krishna, And T. Srinivasa Rao, “Information System Security” For Bitcon 2007 Conducted By Bhilai Institute Of Technology, Durg, Chattisgarh, India, 16-17 March2007.

Book Contribution:

• Authored 3 text books viz., Machine Learning, Big Data Analytics and “Understanding AI: The Rise of Explainable Intelligence”

Patents:

Person Gender and Age Determination Using Deep Learning Techniques in Real Time — Indian Patent Application No. 202141048455, Published on 05/11/2021. 

Developed a real-time deep learning-based system to accurately predict a person’s gender and age from image/video input. 

Inventors: Arumugam Ranjith, Dr Bindu Krishnan, Dr. Uduga Surya Kameswari, JOSYULA SIVA PHANIRAM, Dr. T.V.SAI KRISHNA, Dr. Sonam Mittal, Sanchana. R, Dr. V. Gokula Krishnan, Dr. Brijesh Sathian, Dr. Preety Khatri, Dr Nallam Krishnaiah. 

A Data-adaptive tribal education tool and action platform for higher education and method thereof— Indian Patent Application No. 202241069870, Published on 09/12/2022. 

Designed a data-adaptive platform to enhance higher education accessibility for tribal communities using customized learning methodologies. 

Inventors: Mr. Iliyas Ali Shaik, Dr. C. Siva Sankar, Dr. Putta Padma, Dr. Baiju Krishnan, Dr. B. Rama Devi, Mr. Manukonda Ramesh, Dr. K. Latha, Dr. S. Yavana Rani, Dr. V. Geetha, Dr. T.V. Sai Krishna. 

Papers Reviewed:

• Reviewed Elsevier International Journal of Cardiology in March 2025. 
• Acted as Reviewer at 3rd International Conference on Advances in Computer Engineering and Communication System (ICACECS-2022), held at Department of CSE, VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET) Hyderabad, Telangana, India during 11th to 12th August 2022.

Conference Roles:

• Acted as a Session Chair at “International Conference on Recent Innovations in Computer Science & Technology (ICRICT-2024)” Organized by the Department of Computer Science, 

         P.B. Siddhartha College of Arts & Science, Vijayawada on 30thJanuary 2024. 

• Acted as a Resource Person for the Three Days International Webinar Series on “Role of Internet of Things on Smart Grid Technology” held on 17.09.2021. 

• Awarded as Best Faculty Award in “Technology and Innovation in Education Award”, on 02nd March, 2024 organized by AIMER Society at CMR Technical Campus, Kandlakoya, Hyderabad, Telangana. 
• Played a key role as a Professor and Head of the Department in obtaining NBA accreditation to the Department of CSE, QIS Institute of Technology, Ongole in the year 2019. 
• Awarded Ph.D. from JNTU Kakinada in the Department of Computer Science and Engineering. 
• Doctorate Topic: “Network Analysis of Disease Associated Genes and Investigation of Relationships by Novel Hybrid Hierarchical K-Means Algorithm”. 
• Ratified as Associate Professor by JNTUK, Kakinada. 
• Received Best Teacher Award on 05th September 2020 for Eminence in the Field of Teaching and Research from Knowledge Society for Research Innovations. 

Certified Courses:

• 5 days workshop-WIPRO MISSION10X, QIS College of Engineering and Technology, Ongole, Andhra Pradesh, India, 26-30 July 2011.
• 3 days Short Term Course “IBM-Object-Oriented Analysis and Design using the UML with Fundamentals of Rational Rose”, B.V.C Engineering College, Odalarevu, Amalapuram, Andhra Pradesh, India, 21-23 Sep., 2006.

FDPs & Workshops Attended:

ATAL FDPs Attended:07

• 3 days AICTE Sponsored Workshop under AICTE – Vibrant Advocacy for Advancement and Nurturing of Indian Languages (VAANI) on Quantum Technologies and Applications in Telugu language at ACE Engineering College from 24/07/2025 to 26/07/2025.
• 6 days AICTE Sponsored QIP Short Term Course on Recent Trends and Applications in Artificial Intelligence Organized by the Department of Computer Science and Engineering from 14.03.2022 to 19.03.2022
• 5 days ATAL Online FDP on “MEAN Stack Technologies “from 21/09/2021 to 25/09/2021 at Sree Vidyanikethan Engineering College (Autonomous).
• 5days ATAL Online FDP on “Foundation of Data Science & its applications” from 26/07/2021 to 30/07/2021 at Indira Gandhi Delhi Technical University for Women.
• 5 days ATAL Online FDP on “Semantic Intelligence: The Way Forward with Artificial Intelligence” from 21/07/2021 to 25/07/2021 at National Institute of Technology Kurukshetra.
• 5 days ATAL Online FDP on “Data Sciences” from 14-12-2020 to 18-12-2020 at Central University of Punjab.
• 5 days ATAL Online FDP on “Artificial Intelligence” from 07-12-2020 to 11-12-2020 at Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal.
• 5 days ATAL Online FDP on “Data Sciences” from 05-10-2020 to 09-10-2020 at Central University of Tamil Nadu.
• 5 days ATAL Online FDP on “Data Sciences” from 28-09-2020 to 02-10-2020 at IFET COLLEGE OF ENGINEERING.
• “One Week Online Faculty Development Program on OUTCOME BASED EDUCATION” Organized by Department of Computer Science and Engineering & Department of Electronics and Communication Engineering, Kallam Haranadha Reddy Institute of Technology, Chowdavaram, Guntur in collaboration with Computer Society of India, Vijayawada Chapter from 21st June 2021 to 25th June 2021.
• National Level Online 5 DAYS FDP ON “MACHINE LEARNING AND RESEARCH OPPORTUNITIES” organized by Sapthagiri College of Engineering, Bengalurufrom15-06-2020 to 19-06-2020.
• Two Weeks Online AICTE Recognized Faculty Development Program on “Cyber Security” from 08-06-20 to 19-06-20 Organized by Computer Science and Engineering Department NITTTR, Chandigarh.
• A Three Day Online National Level Workshop on “The Future Technology Stack, ML & NLP” organized by Department of Computer Science and Engineering, Sai Spurthi Institute of Technology from 08-06-2020 to10-06-2020.
• “Three Days Webinar on Machine Learning” Organized by Department of Computer Science, P.B. Siddhartha College of Arts & Science, Vijayawada from 07-06-2020 to 09-06-2020.
• One Week Online AICTE Recognized Faculty Development Program on “Outcome Based Curriculum Design” from 01-06-20 to 05-06-20 Organized by Computer Science and Engineering Department, NITTTR, Chandigarh
• “One Week Online Faculty Development Program on PYTHON 3.4.3” Organized by Department of Electronics & Telecommunication, Sir Visvesvaraya Institute of Technology, Nashik in association with Spoken Tutorial IIT Bombay from 25th May to 30th May 2020.
• One Week Online AICTE Recognized Faculty Development Program on “Curriculum Implementation” from 25-05-20 to 29-05-20 Organized by Computer Science and Engineering Department NITTTR, Chandigarh.
• Three Day Faculty Development Program conducted by Department of Computer Science and Engineering in association with INDIAN SERVERS on 22nd to 24th May,2020.
• 5 days Online FDP on Introduction to Data Science from 18th May, 2020 to 22nd May 2020 Presented by Codegnan IT Solutions in association with Department of CSE, Guntur Engineering College, Guntur.
• One Week Online AICTE Recognized Faculty Development Program on “Data Science using R” from 11-05-20 to 15-05-20 Organized by Computer Science and Engineering Department, NITTTR, Chandigarh.
• One Week Online Faculty Development Program on “Research Challenges and Opportunities Post COVID-19(RECOP2020)” organized by Research & Development Cell and Institution’s Innovation Council of Sri Vasavi Engineering College (Autonomous) during 4-9 May 2020.
• 3 days Workshop on “Data Warehousing & Data Mining”, at JNTUCE, Kakinada, 18-20 March,2006.