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Home » Faculty » Dr. Srisudha Garugu
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Dr. Srisudha Garugu

Assistant Professor

Qualification:
M.Tech(CSE), Ph.D(CSE)

Professional Exp.:
17 years, 2 months, 26 days

Registration Number:
2644-240201-122249

Email Address:
srisudha.garugu@aceec.ac.in

Mobile Number:
8688232815

Dr. Srisudha Garugu is an accomplished academician and researcher in Computer Science  and Engineering with over 17 years of teaching and research experience. She has served as  Assistant Professor in reputed engineering colleges and as a full-time Ph.D. Research Scholar  at Andhra University, teaching a wide range of subjects including Programming, Artificial  Intelligence, Data Science, Internet of Things, and Quantum Computing. Her research  contributions span Natural Language Processing, Machine Learning, Deep Learning, and  Quantum Computing applications, with numerous publications in Scopus, IEEE, Springer,  and UGC-approved journals, a book chapter with IGI Global, and filed patents. 

She has actively participated in NPTEL certifications, AICTE-ATAL FDPs, workshops, and  national conferences, and is frequently invited as a resource person and guest lecturer.  Beyond teaching and research, she contributes to institutional development as Alumni  Coordinator and Newsletter Coordinator at ACE Engineering College, and has played a key  role in NBA Accreditation, ISO recognition, and AICTE documentation. Her strong  academic foundation, diverse teaching portfolio, and impactful research make her a dedicated  contributor to both student success and institutional growth. 

Educational Details 

  • Ph.D (Computer Science & Engineering), Andhra University – Feb 2025 M.Tech (CSE), JNTUK – Dec 2010 
  • M.C.A, Andhra University – Jun 2007 
  • B.C.A, Andhra University – Jun 2002 
  • Intermediate, Board of Intermediate Education – May 1999 
  • SSC, Secondary School Education – May 1997 

Professional Background 

  • Assistant Professor, Dept. of CSE, ACE Engineering College, Ankushapur (Feb 22, 2024  – Present) 
  • Assistant Professor, Dept. of CSE, Pydah College of Engineering & Technology (Jun 5,  2017 – Jan 31, 2021) 
  • Assistant Professor, Dept. of CSE, Thandra Paparaya Institute of Science and Technology  (June 1, 2008 – May 23, 2017)
  • Ph.D. Full-Time Research Scholar & Teaching Faculty, Dept. of Computer Science &  Systems Engineering, Andhra University College of Engineering (Aug 2020 – Feb 20,  2024) 
  • Taught core CSE subjects at undergraduate and postgraduate level while pursuing  research. 

Subjects Taught 

  • C & Data Structures 
  • ADS 
  • C++ 
  • Neural Networks & Fuzzy Logic 
  •  Software Engineering 
  • Mobile Computing 
  • Advanced Computer Networks 
  • Artificial Intelligence & Neural Networks 
  • Object Oriented Analysis & Design 
  • DBMS 
  • E-Commerce 
  • Pattern Recognition 
  • Biometrics 
  • Computer Networks 
  • Computer Architecture & Organization 
  • JAVA 
  • Interactive Computer Graphics 
  • Artificial Intelligence 
  • AI Techniques 
  • Database Management Systems 
  • Computer Organization 
  • Design and Analysis of Algorithms 
  • Python Programming 
  • Operating Systems 
  • Expert Systems 
  • Web Technologies 
  • R Programming 
  • Internet of Things 
  • Machine Learning
  • Natural Language Processing 
  • Machine Learning 
  • Deep Learning 
  • Neural Networks 
  • Data Science 
  • Internet of Things 
  • Quantum Computing

Dr. SriSudha Garugu, Dr. V. Ravi Kumar, D. Ashwini, Pethota Swaroopa, and K.V.D.S. Santhosh  (2025). Comparative Analysis of Classical and Quantum Algorithms for Solving Linear Systems of  Equations: Theoretical Insights and Benchmarking Challenges. Published in the Journal of  Theoretical and Applied Information Technology (JATIT), Volume 103, Issue 12, pp. 5250–5259,  June 2025. ISSN: 1992-8645, E-ISSN: 1817-3195. (Scopus Indexed Journal) 

  • Srisudha Garugu, Devadi Ganesh, Md. Aamir Sohail, and Mohammed Murtuza (2025). Forecasting  model based on ensembled technique for optimized prediction in smart applications. Published in  AIP Conference Proceedings, Volume 3298, Issue 1, pp. 1–8,Article ID: 020052, July 2025. ISSN:  0094-243X, E-ISSN: 1551-7616. DOI: 10.1063/5.0280513. (Scopus Indexed Conference Paper) 
  • Dr. Srisudha Garugu,Vempati Chekri, M. Sravani, Parnati Nanda Kishore, “Autonomous Detection  of Unusual Incidents in CCTV Footage”, International Journal of Leading Research Publication  (IJLRP), E-ISSN: 2582-8010, Volume 6, Issue 6, pp. 1–13, June 2025, DOI:  10.70528/IJLRP.v6.i6.1582. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, S. A. Lahari, K. Chandana, K. Abhinay, “Localized Defence Security Networks for  Estimating Intruder’s Arrival Time”, NOVYI MIR Research Journal, Volume 10, Issue 1, pp. 162– 166, Jan 2025, DOI: 16.10098.NMRJ.2025.V10I1.256342.38105. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, D. H. S. Nangunuri, R. Srujana, S. Srivastava, “Comorbid Systematic Health  Analyzer: A Comprehensive AI-Driven Diagnostic Tool for Predicting Diabetes and Comorbid  Conditions”, International Journal of Science and Research Archive, Volume 14, Issue 1, pp. 1252– 1263, 2025, DOI: 10.30574/ijsra.2025.14.1.0183. (UGC Approved, Google Scholar) 
  • SriSudha Garugu, K. Soppari, M. A. Kalam, “Multimodal Biometric Identification”, International  Research Journal of Modernization in Engineering Technology and Science, Volume 7, Issue 1, pp.  4949–4954, Jan 2025, DOI: 10.56726/IRJMETS66840. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, P. V. Vihari, M. P. Reddy, R. Chethan, “Proactive Network Defense”,  International Journal of Progressive Research in Engineering Management and Science (IJPREMS),  Volume 5, Issue 1, pp. 1691–1699, Jan 2025. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, V. B. Sri, E. Shravani, B. Karthik, “Intelligent Tutoring Systems: A Comprehensive  Guide to Personalized Learning”, International Scientific Journal of Engineering and Management,  Volume 4, Issue 1, pp. 1–10, Jan 2025, DOI: 10.55041/ISJEM02238. (UGC Approved, Google  Scholar) 
  • Srisudha Garugu, M. A. Kalam, D. Mannem, A. Pagidimari, P. Aluvala, “Intelligent Systems for  Arms Base Identification: A Survey on YOLOv3 and Deep Learning Approaches for Real-Time  Weapon Detection”, World Journal of Advanced Research and Reviews, Volume 25, Issue 1, pp.  2058–2066, Jan 2025, DOI: 10.30574/wjarr.2025.25.1.0202. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, Ch. PoojaSri, Ch. Preetham Reddy, T. Ritheesh, “Personal Digital Detox  Evaluator: Machine Learning Model for Prediction of Smartphone Addiction”, International  Journal of All Research Education and Scientific Methods (IJARESM), Volume 13, Issue 1, pp.  1952–1958, Jan 2025, DOI: 10.56025/IJARESM.2025.1301251952. (UGC Approved, Google  Scholar) 
  • Srisudha Garugu, G. Belide, R. Bandari, K. Bejjenki, “Spend Analyzer AI: A Comprehensive Expense  Tracker with Predictive Modeling for Financial Management”, International Journal of All  Research Education and Scientific Methods (IJARESM), Volume 13, Issue 1, pp. 1708–1714, Jan  2025, DOI: 10.56025/IJARESM.2025.1301251708. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, A. R., B. Balaji, J. V. R., G. S. Singaram, “Enhancing Sign Language Recognition for 
  • Hearing-Impaired Individuals Using Deep Learning”, Proceedings of the 2024 International  Conference on Data Science and Network Security (ICDSNS), IEEE, Oct 2024, DOI:  10.1109/ICDSNS62112.2024.10690989. (Scopus, IEEE Conference) 
  • Srisudha Garugu, D. Ganesh, “Unleashing The Power of Object Detection: A Deeper Look at Faster  R-CNN and Streamlit Dashboard”, NOVYI MIR Research Journal, Volume 9, Issue 23s, pp. 245– 249, 2024, DOI: 16.10098.NMRJ.2024.V9I8.256342.38003. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, D. Ganesh, N. Amulya, “Multimodal Content Analysis and Classification  Approach (MCACA)”, Journal of Electrical Systems, Volume 20, Issue 10s, pp. 3821–3827, 2024,  DOI: 10.52783/jes.5940. (Scopus) 
  • Srisudha Garugu, D. Lalitha Bhaskari, “Enhancing Abstractive Text Summarization using Two Staged Network for Telugu Language (EATS2N)”, International Journal of Intelligent Systems and  Applications in Engineering, Volume 12, Issue 19, pp. 686–695, Mar 2024, DOI:  https://ijisae.org/index.php/IJISAE/article/view/5179/3899. (Scopus) 
  • Srisudha Garugu, D. Lalitha Bhaskari, “A Hybrid Optimization Approach for Neural Machine  Translation Using LSTM+RNN with Moth Flame Optimization for Under-Resource Language  (Telugu)”, International Journal of Recent Innovations and Trends in Computing and  Communication, Volume 11, Issue 7, pp. 354–366, 2023, DOI: 10.17762/ijritcc.v11i7.8002.  (Scopus) 
  • Srisudha Garugu, D. Lalitha Bhaskari, “Automatic Information Extraction from Different Sources  Using User-Defined Templates”, Journal of Data Acquisition and Processing, Volume 37, Issue 5,  pp. 2440–2452, 2022, DOI: 10.5281/zenodo.776523. (Scopus) 
  • Srisudha Garugu, D. Lalitha Bhaskari, “A Study on Methodologies of Open Information  Extraction”, Journal of Optoelectronics and Laser, Volume 41, Issue 6, pp. 438–451, 2022, DOI:  10050086.2022.06.55. (Scopus) 
  • Srisudha Garugu, D. Lalitha Bhaskari, G. Srirupa, “Question Answering System in Telugu Using  Deepset/XLM-Roberta-Base-Squad2 Model”, International Journal of Research Analysis & Review,  Volume 10, Issue 3, pp. 347–353, Sep 2023. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, U. Davulury, D. Anusha, “A Survey of Machine Learning Techniques in  Rheumatic Disease”, International Journal of Analytical and Experimental Modal Analysis, Volume  12, Issue 3, pp. 2492–2504, Mar 2020, ISSN: 0886-93676, DOI: 280-IJAEMA-MARCH-2020.pdf.  (UGC Approved, Google Scholar) 
  • Srisudha Garugu, S. K. Anala, B. M. Kumari, “A Machine Learning Implementation on Internet of  Things Smart Meter Operations”, International Journal of Scientific Research in Computer Science  Engineering and Information Technology, Volume 3, Issue 1, pp. 593–599, 2018, ISSN: 2456-3307.  (UGC Approved, Google Scholar) 
  • Srisudha Garugu, U. Davulury, R. Ponnaganti, “Flawless Stationed Smart Intraurban Senora Using  IoT”, International Journal of Creative Research Thoughts (IJCRT), Volume 5, Issue 4, pp. 1704– 1720, Dec 2017, ISSN: 2320-2882. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, B. Sambana, “Vehicle Tracking and Traffic Detection System Using Internet of  Things”, Advanced Science and Technology Letters, Volume 147, pp. 463–467, 2017, DOI:  10.14257/astl.2017.147.65. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, M. Ramesh, G. R. L. Prasanna, I. Srinivasarao, “ASHIT: A Smart Home Pertinence  Using Internet of Things with Web Server”, International Journal of Research in Information  Technology (IJRIT), Volume 5, Issue 4, pp. 1–9, Apr 2017. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, P. Angelgrace, K. Santhoshkumar, “Arduino Automatic Watering System for  Plants Sprinkler”, International Journal of Research, Volume 4, Issue 3, pp. 1063–1075, Mar 2017, 
  • ISSN: 2348-6848. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, M. Ramesh, “Innovating Machine Learning to Amputate Inverness in Artificial  Intelligence”, International Journal of Innovative Technology (IJITECH), Volume 4, Issue 15, pp.  2995–2999, Oct 2016, ISSN: 2321-8665. (UGC Approved, Google Scholar) 
  • Srisudha Garugu, S. Narendra, “Security Maintain Group Keyword Search Using Multi Dimensional Algorithm in Cloud Computing”, International Journal of Scientific Engineering and  Technology Research (IJSETR), Volume 5, Issue 35, pp. 7230–7234, Oct 2016, ISSN: 2319-8885.  (UGC Approved, Google Scholar) 

Patents 

Automatic Detection of Segmented Labels for Road Anomaly Detection: A Robotic  Application. Application No: 202441058555, Publication Date: 09-08-2024. 

Book Contributions 

Transforming Language Acquisition: AI-Powered Approaches to English Language Teaching  and Learning. IGI Global, 2025. (Book Chapter) 

Certifications & Exams 

  • Certificate of Excellence in Reviewing, Asian Journal of Research in Computer  Science, June 2025. 
  • APSET Qualified (May 2024). 
  • AWES Computer Based Test PGT for Computer Science (Nov 2023). 4. NPTEL Certifications: 
  • Data Analytics with Python (12-week FDP) 
  • Fundamentals of Object-Oriented Programming (12-week FDP) ∙ User-centric Computing for Human-Computer Interaction (8-week FDP) ∙ Python for Data Science (Elite Certification) 
  • Introduction to Internet of Things (FDP) 

Workshops, Conferences & FDPs 

  • More than 20+ FDPs and workshops including: 
  • One Month Course on Quantum Computing, C-DAC Hyderabad & IIT Roorkee,  May–June 2025. 
  • FDP on Quantum Computing, RAIT (DY Patil University), New Horizon College,  KIIT University, ExcelR, Aug 11–18, 2025. 
  • AICTE ATAL FDP on Secure and Explainable Generative AI for Medical IoT Data  Analytics, NIT Puducherry, Aug 25–30, 2025. 
  • FDP on Innovation Through AI: Edge and Fog Computing, Mar 2025. ∙ AICTE ATAL FDP on Smart Communication in IoT, Feb–Mar 2025. ∙ FDP on Disaster Management, Central University of Kerala, Nov 2024. ∙ FDP on Immersive Technologies VR/AR/MR with ML Applications, Oct 2024. ∙ Workshop: AI & Automation in MS Excel, Aug 2024.
  • EEE ICDSNS Conference, July 2024. 
  • AI-PTIS Conference, July 2024. 
  • Workshop on Research Paper Writing Using Tools, ACE Engineering College, May  2024. 
  • UGC NEP 2020 Orientation Programme, Apr 2024. 
  • Cyber Peace Training, Feb 2022. 
  • Workshop on Importance of IPR in Academia, Jun 2021. 
  • Innovation Series on Patent Search and Filing, Feb 2021. 
  • ATAL FDP on Block chain, Apr 2020. 
  • Invited Talks / Guest Lectures 
  • Guest Lecture: “AI Beyond Buzzwords: From Data to Decisions”, Villa Marie Degree  College for Women, Hyderabad, Sept 2, 2025. 

Achievements & Academic Excellence 

  • Team Leader for ISO Recognition (2011–2012). 
  • Active role in NBA Accreditation (Part-I). 
  • Preparation of AICTE file for establishment of new college and intake variations. ❖ Coordinator for multiple academic and technical events. 
  • Alumni Coordinator, Department of CSE, ACE Engineering College (Current) ❖ Newsletter Coordinator, ACE Engineering College (Current). 

Software Skills 

C, C++, Java, Python, R Programming, COBOL, .Net, XML, JavaScript, Web Services, SQL  Server, PHP, HTML & CSS, MATLAB, TensorFlow, PyTorch, Scikit-learn, Google Colab,  Jupyter Notebook, AWS Educate, Google Cloud