Sirisha Nallakukkala | Chemical Engineering | Best Researcher Award

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Dr. Sirisha Nallakukkala | Chemical Engineering | Best Researcher Award

Assistant Professor at Sri Sivasubramaniya Nadar College of Engg, India

Dr. Sirisha Nallakukkala is an accomplished Chemical Engineering professional with over 11 years of teaching and 8 years of research experience. Her expertise spans gas hydrate-based water treatment, carbon capture and storage, circular economy, machine learning applications in process engineering, and renewable energy. She is highly proficient in analytical instruments such as ICP-MS, GC, and XRD, and software tools like Matlab, ASPEN, CHEMCAD, PVTSim, and CSMGem. Dr. Nallakukkala is recognized for her multidisciplinary collaboration, strong leadership, and impactful contributions to chemical engineering education and research.

Publication Profile 

Scopus

Google Scholar

Educational Background 🎓

  • Ph.D. in Chemical Engineering
    Universiti Teknologi PETRONAS, Malaysia (Jan 2020 – Sep 2023)
    Thesis: Performance Evaluation and Kinetic Study of CO₂-Rich Natural Gas Hydrate Formation for Produced Water Treatment

  • Master of Science in Chemical Engineering
    McNeese State University, Louisiana, USA (Dec 2007)
    GPA: 3.6 / 4.0

  • Bachelor of Technology in Chemical Engineering
    Jawaharlal Nehru Technological University (GVPCOE), India (May 2005)
    GPA: 3.5 / 4.0

Professional Experience 💼

  • Assistant Professor, Sri Sivasubramanian Nadar College of Engineering, Chennai (Aug 2024 – Present)

  • Assistant Professor (Temporary), National Institute of Technology, Srinagar (Mar 2024 – Jul 2024)

  • Graduate Research Assistant, Universiti Teknologi PETRONAS, Malaysia (Jan 2020 – Sep 2023)

  • Assistant Professor, BMS College of Engineering, Bangalore (Aug 2014 – Dec 2019)

  • Assistant Professor, B.V. Raju Institute of Technology (BVRIT), Narsapur (Aug 2011 – Jun 2014)

  • Process Engineer, Dynamic Industries Inc., Louisiana, USA (Jan 2008 – Jun 2011)

  • Research/Teaching Assistant, McNeese State University, USA (Aug 2005 – Dec 2007)

  • Plant Engineering Intern, Hindustan Petroleum Corporation Ltd, India (May 2004 – Aug 2004)

Research Interests 🔬

  • Gas Hydrate-Based Water Treatment

  • Machine Learning in Process Engineering

  • Resource Recovery and Circular Economy

  • Carbon Capture and Storage

  • Renewable Energy Systems

  • Desalination and Industrial Wastewater Treatment

  • Corrosion Inhibition using Surfactants

Awards and Honors🏆✨

  • Secured Research Funding from:
    • King Abdullah University of Science and Technology (KAUST)
    • Yayasan Universiti Teknologi PETRONAS (YUTP)

  • Supervised multiple undergraduate and postgraduate projects

  • Presented and published in several high-impact international journals

Conclusion🌟

Dr. Sirisha Nallakukkala stands out as a well-rounded chemical engineer, educator, and researcher. Her commitment to sustainable solutions for water treatment and environmental challenges reflects in her cutting-edge work on gas hydrates, carbon sequestration, and AI applications in engineering. With her multidisciplinary background, strong academic foundation, and impactful professional experience, she is poised to make continued contributions to academia and industry in chemical engineering.

Publications 📚

📘 1. Seawater and Produced Water Treatment via Gas Hydrate: Review
👨‍🔬 S. Nallakukkala, B. Lal
📰 Journal of Environmental Chemical Engineering, 9(2), 105053.
📅 2021 | 🔁 Cited by: 65

📘 2. Gas Hydrate-Based Heavy Metal Ion Removal from Industrial Wastewater: A Review
👨‍🔬 S. Nallakukkala, A. ur Rehman, D. Zaini, B. Lal
📰 Water, 14, 1171.
📅 2022 | 🔁 Cited by: 39

📘 3. Suitable Binary and Ternary Thermodynamic Conditions for Hydrate Mixtures of CH₄, CO₂, and C₃H₈ for Gas Hydrate-Based Applications
👨‍🔬 S. Nallakukkala, H. Abulkhair, A. Alsaiari, I. Ahmad, E. Almatrafi, O. Bamaga, et al.
📰 ACS Omega, 7(13), 10877–10889.
📅 2022 | 🔁 Cited by: 13

📘 4. Gas Hydrate in Water Treatment: Technological, Economic, and Industrial Aspects
👨‍🔬 B. Lal, S. Nallakukkala
📰 [Journal info not specified]
📅 2022 | 🔁 Cited by: 13

📘 5. Advancement in Gas Hydrate Water Based Produced Water Desalination: An Overview
👨‍🔬 S. Nallakukkala, Z. Kassim, N. A. Othman, B. Lal
🎤 Third International Conference on Separation Technology 2020 (ICoST 2020)
📅 2020 | 🔁 Cited by: 13

📘 6. Influence of Water Volume on CO₂ Hydrate-Based Desalination of Brine Solution
👨‍🔬 S. Nallakukkala, B. Lal, M. A. Shariff
📰 Materials Today: Proceedings, 56, 2172–2177.
📅 2021 | 🔁 Cited by: 11

📘 7. Kinetic and Isothermal Investigations in Elimination of Iron Metal from Aqueous Mixture by Using Natural Adsorbent
👨‍🔬 F. S. S. Nallakukkala, B. Lal
📰 International Journal of Environmental Science and Technology
📅 2020 | 🔁 Cited by: 10

📘 8. Desalination of Produced Water via Carbon Dioxide Hydrate Using Filter-Based Hydrate Desalination Reactor
👨‍🔬 H. Abulkhair, S. Nallakukkala, M. S. Khan, I. A. Moujdin, E. Almatrafi, et al.
📰 Separation and Purification Technology, 332, 125849.
📅 2024 | 🔁 Cited by: 9

📘 9. Desalination of Produced Water via CO₂ + C₃H₈ Hydrate Formation
👨‍🔬 H. Abulkhair, S. Nallakukkala, I. A. Moujdin, E. Almatrafi, O. Bamaga, et al.
📰 Separation and Purification Technology, 315, 123711.
📅 2023 | 🔁 Cited by: 8

📘 10. Nonionic Surfactants as Corrosion Inhibitors for Carbon Steel in Hydrochloric Acid Medium
👨‍🔬 S. Nallakukkala
📰 TEST Engineering and Materials, 81, 5830–5835.
📅 2019 | 🔁 Cited by: 6

Rajesh Singh | Engineering | Best Researcher Award

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Prof. Dr. Rajesh Singh | Engineering | Best Researcher Award

Professor at Uttaranchal University, India

Rajesh Singh, Ph.D., is an accomplished academician and researcher with over 20 years of experience in engineering and innovation. He currently serves as the Director of Research & Innovation at Uttaranchal University, as well as the Head of Innovation & Entrepreneurship at Lovely Professional University and Head of the Robotics Research Centre at the University of Petroleum & Energy Studies. Dr. Singh has been instrumental in driving various research and innovation initiatives, with notable accomplishments in the fields of Wireless Sensor Networks, Embedded Systems, Robotics, Artificial Intelligence, Machine Learning, Automation, IoT, and Raspberry Pi.

Publication Profile : 

Scopus

Educational Background 🎓

  • Ph.D. in Electronics Engineering from the University of Petroleum and Energy Studies, Dehradun (2016).
  • M.Tech in Electronics & Communication Engineering from Rajiv Gandhi Technical University (2009).
  • B.E. in Electronics & Communication Engineering from Dr. B.R Ambedkar University, Agra (2002).

Professional Experience 💼

Held various positions in academia, including Associate Professor, Assistant Professor, and Director, with a focus on innovation, research, and entrepreneurship across multiple institutions, including Uttaranchal University, Lovely Professional University, and University of Petroleum & Energy Studies.

Research Interests 🔬

  • Wireless Sensor Networks
  • Embedded Systems
  • Robotics
  • Artificial Intelligence
  • Machine Learning
  • Internet of Things (IoT)
  • Automation

Awards & Recognition

  • Award of Excellence for Research and Innovation in Science, conferred by the State Minister of Uttarakhand, India
  • Recognized for significant contributions to innovation, technology, and academic excellence both nationally and internationally.

Publications 📚

  • Title: Lumpy skin disease virus identification using image-based and deep learning approach
  • Authors: Sharma, S., Joshi, K., Singh, R., Sharma, G., Kumar, G.
  • Conference: Computational Methods in Science and Technology – Proceedings of the 4th International Conference on Computational Methods in Science and Technology, ICCMST 2024
  • Year: 2025
  • Volume: 2
  • Pages: 30–35
  • Title: Leveraging wireless technology and IoT in developing a smart judiciary system with smart dust sensors
  • Authors: Vaish, K., Sharma, M., Kathuria, S., Akram, S.V., Malik, P.K.
  • Book: Intelligent Networks: Techniques, and Applications
  • Year: 2024
  • Pages: 129–151
  • Title: Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks
  • Authors: Tiwari, S., Gehlot, A., Singh, R., Twala, B., Priyadarshi, N.
  • Journal: Results in Engineering
  • Year: 2024
  • Volume: 24
  • Article ID: 103301
  • Title: Vision-based approach for human motion detection and smart appliance control
  • Authors: Swami, S., Singh, R., Gehlot, A., Kumar, D., Shah, S.K.
  • Journal: IAES International Journal of Robotics and Automation
  • Year: 2024
  • Volume: 13(4)
  • Pages: 445–451
  • Title: Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian context
  • Authors: Kumar, V., Singh, R., Gehlot, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Sustainability
  • Year: 2024
  • Volume: 5(1)
  • Article ID: 245
  • Title: The Image Classification Method for Eddy Current Inspection of Titanium Alloy Plate Based on Parallel Sparse Filtering and Deep Forest
  • Authors: Yidan, Z., Zou, H., Li, Z., Singh, R., Abbas, M.
  • Journal: Journal of Nondestructive Evaluation
  • Year: 2024
  • Volume: 43(4)
  • Article ID: 103
  • Title: Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
  • Authors: Chauhan, A.S., Singh, R., Priyadarshi, N., Suthar, S., Swami, S.
  • Journal: Discover Artificial Intelligence
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 58
  • Title: Integrating industry 4.0 technologies for the administration of courts and justice dispensation—a systematic review
  • Authors: Bhatt, H., Bahuguna, R., Swami, S., Priyadarshi, N., Twala, B.
  • Journal: Humanities and Social Sciences Communications
  • Year: 2024
  • Volume: 11(1)
  • Article ID: 1076
  • Title: Use of IoT sensor devices for efficient management of healthcare systems: a review
  • Authors: Gopichand, G., Sarath, T., Dumka, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Internet of Things
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 8
  • Title: Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications
  • Authors: Goyal, B., Dogra, A., Jalamneh, A., Singh, R., Jyoti Saikia, M.
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14(1)
  • Article ID: 17122

 

 

 

ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

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Assist. Prof. Dr. ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

BEST RESEARCHER at International University of rabat, Morocco

Abla Chaouni Benabdellah is an Assistant Professor of Supply Chain Management and Information Systems at Rabat Business School, International University of Rabat (UIR). She holds a Ph.D. in Industrial Engineering from Moulay Ismail University, Meknes, and a Master’s in Mathematics and Statistics from Mohamed V University, Rabat. With extensive teaching experience across various institutions including EUROMED University and Private University of Fez, she specializes in project management, risk management, and supply chain strategies.

Publication Profile : 

Scopus

🎓 Educational Background :

  • Ph.D. in Industrial Engineering (2016 – 2019), Moulay Ismail University, ENSAM, Meknes
  • Master in Mathematics and Statistics (2012 – 2014), Mohamed V University, Rabat
  • Bachelor in Applied Mathematics (2009 – 2012), Moulay Ismail University, Faculty of Science, Meknes
  • Baccalaureate in Mathematics (2008 – 2009), Moulay Ismail College, Meknes

💼 Professional Experience :

  • Assistant Professor of Supply Chain Management & Information Systems (Since 2022), Rabat Business School, International University of Rabat (UIR), Rabat
  • Human Resources Consultant (2021), Expert Human Capital (EHC), Casablanca
  • Professor (2020), School of Digital Engineering and Artificial Intelligence (EIDIA), EUROMED University, Fez
  • Professor (2020), Private University of Fez, Fez
  • Seminar Presenter (2020), “Holonic Multi-Agent Systems for Decision Making -Application to Knowledge Management-“, ENSAM, Meknès
  • Doctoral Course Instructor (2019), Statistical Modeling with R Software, ENSAM-Meknès
  • Coordinator (2018), Artificial Intelligence and Data Science Master, SUPMTI, Meknes
  • Professor (2016), Higher School of Management, Telecommunications and IT (SUPMTI), Meknes

📚 Research Interests : 

  • Supply Chain Management
  • Industrial Engineering
  • Digital Supply Chains
  • Blockchain Technology
  • Artificial Intelligence and Data Science
  • Statistical Modeling

📝 Publication Top Notes :

  1. Blockchain Technology in Supply Chains: Discusses blockchain’s role in enhancing digital supply chains and evaluates implementation barriers.
  2. Big Data Analytics in Supplier Selection: Explores a multi-agent system for supplier selection using big data analytics.
  3. Smart Product Design and Digital Agility: Develops an ontology for managing agility in digital product design.
  4. Blockchain and Smart Contracts in Automotive Supply Chains: Examines how blockchain and smart contracts can optimize automotive supply chains.
  5. Medical Waste Management Optimization: A multi-agent system approach for improving medical waste management.
  6. Sustainable Supplier Selection in Circular Economy: Uses an ontology-based model to improve supplier selection under a circular economy framework.
  7. Environmental Supply Chain Risk Management: Proposes a data mining framework for managing supply chain risks in Industry 4.0.
  8. Lean and Green Practices in Supply Chains: Integrates lean and green practices to enhance sustainable and digital supply chain performance.
  9. Digital Technologies and Circular Economy: Investigates how digital technologies support sustainable supply chain management post-COVID-19.
  10. Circular Digital Supply Chain Design: Focuses on sustainable design practices within digital supply chains.
  11. Supplier Selection Ontology: Develops an ontology for effective supplier selection in digital supply chains.
  12. Intersection of Design for X and Business Strategies: Analyzes the integration of design techniques and business strategies for product lifecycle management.
  13. Knowledge Discovery for Sustainability: Discusses methods for enhancing sustainability through knowledge discovery in design processes.