Dr. Hashmat Fida

@presidencyuniversity.in

Assistant Professor, School of Computer Science & Engineering
Presidency University, Bengaluru India

Dr. Hashmat Fida


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https://researchid.co/hashmatfida
As an Assistant Professor specializing in AI-ML, IoT, and vision-enabled autonomy, I focus on bridging theory and practical innovation. My research is deeply rooted in cyber-physical systems, pushing boundaries in next-gen space systems, intelligent robotic platforms, and smart infrastructure.

In recent projects, I’ve advanced intelligent traffic management systems, integrating V2X communication and IoT to create safer, more efficient urban mobility. I’m passionate about V2R and V2X integration, leveraging LiDAR and sensor fusion to build truly connected environments.

My interest extends into space-based cyber intelligence and autonomous robotic systems. I explore how AI-driven autonomy can revolutionize space exploration, with resilient, intelligent systems capable of thriving in unknown environments. I’m involved in projects on collaborative multi-robot swarms, focusing on how robots can dynamically adapt, cooperate, and make decisions in real-time.

EDUCATION

Ph.D Computer Science & Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Networks and Communications, Human-Computer Interaction
19

Scopus Publications

16

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Navigating ambiguity: smart decision-making with pythagorean fuzzy sets in granular uncertainty
    Mohd Irfan, Hashmat Fida, Dilawar Juneed Mir
    Iran Journal of Computer Science, 2026
  • Smart Flow-X: A Data-Driven Urban Intelligence and Coordination Framework for Real-Time Systems
    Hashmat Fida
    Computer Networks, 2026
  • Risk-Sensitive Reinforcement Learning for Portfolio Optimization Under Stochastic Market Dynamics
    Binod Kumar Mishra, Munish Kumar, Hashmat Fida, Branimir Kalaš
    Mathematics, 2026
    Portfolio optimization is one of the most difficult sequential decision problems, as uncertainty and the non-stationary nature of financial markets hinder the development of robust strategies. Reinforcement learning is an attractive framework for addressing this problem, as it allows agents to learn market-adaptive strategies through data-driven interactions. However, existing risk-neutral reinforcement learning solutions for portfolio management are oblivious to downside risk and are mainly concerned with maximizing returns. To address this limitation, this paper proposes a novel risk-sensitive reinforcement learning framework for risk-aware portfolio optimization based on a conditional value-at-risk-based learning objective that explicitly controls extreme loss events. It formulates the portfolio optimization problem as a Markov decision process and solves it using a linearized actor–critic architecture. It also develops theoretical results to analyze important aspects of the learning process, specifically proving that the convexity of the conditional value-at-risk-based formulation and convergence of learning hold under standard assumptions. The proposed algorithm is applied in a realistic investment setting using NIFTY 50 market data. Quantitative results from a rolling window backtesting methodology show that the proposed model achieves the best risk-adjusted portfolio performance, i.e., a Sharpe ratio (0.610), while significantly reducing tail risk, as measured by the conditional value-at-risk (−0.121) and maximum drawdown (−0.198), compared to classical strategies and risk-neutral reinforcement learning solutions. Overall, the results demonstrate that integrating coherent risk measures into reinforcement learning provides an effective approach for developing robust and risk-aware portfolio optimization strategies in dynamic financial environments.
  • Robotics in Smart Cities: A Pathway to Sustainable Business Development
    Vinod Kumar, Parveen Bajaj, Aman Kataria, Hashmat Fida, Sita Rani
    Artifcial Intelligence Powered Sustainable Development of Business 4 0, 2026
  • INTEGRATING AI ART TOOLS IN NATIONAL EDUCATION POLICY
    Baliram N. Gaikwad, Palak Patel, Shubhansh Bansal, Swati Chaudhary, Mamta Thakur, Hashmat Fida, Vijay Itnal
    Shodhkosh Journal of Visual and Performing Arts, 2025
    The fast development of artificial intelligence has brought potent tools of creativity, which are changing the visual arts education all over the world. The implementation of AI art tools into the concept of the National Education Policy (NEP) is a strategic chance to coordinate technological innovation with the innovative goals of creativity orientation, competency focus, and experiential learning. The paper discusses the ways in which AI-driven artistic software (including generative models or intelligent imaging systems or style transfer or AI-assisted critique systems) can be effectively integrated into the formal education process without sacrificing human creativity, cultural identity, and pedagogical integrity. Based on the constructivist theory of learning, the paradigms of the experiential education model, and the human-AI co-creation and learning paradigms, the study conceptualizes AI as the supplementary partner to artistic practice, which promotes ideation, reflections, personalization, and skill building. The framework proposed aligns AI art tools to NEP priorities, such as multidisciplinary learning, creative thinking, digital literacy and inclusive education. This paper introduces a multi-layered architectural design, which includes infrastructure, data, intelligence and application layer to facilitate creative classrooms. The paper also provides policy-level recommendations on the design, assessment, and ongoing evaluation of the curriculum, and stage-by-stage implementation of the process at a national level in terms of teacher training, institutional preparation, and deployment of infrastructure in stages. The key issues that concern data privacy, copyright, ambiguity of authors, algorithmic bias, and cultural sensitivity are discussed in detail with the focus on the protection of indigenous and traditional art forms.
  • Integration of LiDAR and optical bonding LCD for intelligent blind curve detection systems
    Hashmat Fida, Harsh Sadawarti, Binod Kumar Mishra, Ashaq Hussain Bhat, Saikat Gochhait, Sami Alshmrany
    Discover Applied Sciences, 2025
    Hazardous blind curves impose a serious safety problem as visibility beyond the curvature of the road is obstructed due to the shape of the road and often vegetation as well. This lack of visibility causes automobile drivers and pedestrians not to see oncoming vehicles or possible hazards. Many traditional solutions, such as convex mirrors, have not proven to be reliable or effective. Our research tackles the endemic issue of roadway safety at sharp curves by designing an innovative system specifically addressing roadway safety using Lidar sensor technology monitoring LCD data displays. The Lidar speed sensors collect speed and distance data of vehicles, pedestrians, or hazards—both detected and object recognition—to improve visibility and roadway safety. The Lidar sensors collect data on vehicles and road hazards. The system utilizes optical bonding materials in the LCD data display to keep warnings visible, even in poor light and inclement weather. This research centers on the design, development, and evaluation of this system, including the operational methodology of the lidar sensors for data collection and development of algorithms for data processing to optimize the functionality of the optical bonding LCD technology. The field tests or controlled simulations of the system’s reliability, safety, and effectiveness across various weather and lighting conditions yielded positive findings. The extraordinary numbers confirmed this system’s impact on reducing accidents and safety risk from vehicles approaching blind curves. The demonstrated enhancement of road safety related to this design and technology provides improved means for success in managing traffic flow. Our system adaptable use of Lidar Acuity AS1100 sensor technology linked to optical bonding LCD data displays yielded data creating a threshold of up to 95% accuracy in detecting distance of up to 150 m, even in inclement weather. The new research methodology addresses an obstacle with a new, effective strategy for preventing accidents and minimize roadway traffic collisions.
  • IOT-BASED INTELLIGENT TRAFFIC MANAGEMENT SYSTEM WITH DYNAMIC GREEN CORRIDORS FOR EMERGENCY VEHICLE PRIORITIZATION
    Hashmat Fida, Harsh Sadawarti, Binod Kumar Mishra, Vibha Tiwari
    Asean Engineering Journal, 2025
    Traffic congestion has become a critical issue in urban areas worldwide, leading to increased accidents and delays for emergency vehicles. This paper proposes a solution utilizing IoT-enabled technology to alleviate these challenges by implementing "Green Corridors" for emergency vehicles. By leveraging Intelligent Traffic Management Systems (ITMS), which integrate sensors, cameras, and data analysis, this research aims to evaluate the effectiveness of such systems in reducing congestion and improving road safety. A comprehensive evaluation framework will be employed to analyze the impact of ITMS implementation on traffic flow patterns and safety outcomes. The system utilizes UWB technology to identify emergency vehicles, triggering traffic lights to switch to green and notifying nearby vehicles to clear lanes, facilitating unimpeded passage for emergency services. This integrated approach addresses the dual challenges of traffic congestion and emergency response, offering valuable insights for policymakers and urban planners seeking effective solutions for smart city transportation management.
  • A Machine Learning and Deep Learning Approach to Cancer Prediction
    Mohit Singh Bisht, Mohd Irfan, Hashmat Fida
    Artificial Intelligence in Oncology Cancer Diagnosis and Treatment Medical Imaging and Personalized Medicine, 2025
  • Smart Irrigation in Precision Agriculture: IoT for Water Efficiency and Sustainable Crop Yield
    Simran, Hashmat Fida, Binod Kumar Mishra
    Lecture Notes in Networks and Systems, 2025
  • Fusion-Based Intelligent Traffic Congestion Control System for Vehicular Networks Using Machine Learning Techniques in Smart Cities
    Jai Kumawat, Ashu Singh, Himanshu, Hashmat Fida
    Lecture Notes in Networks and Systems, 2025
  • Sick: A Search Focused Android Launcher - Feature Analysis
    Ashaq Hussain Bhat, Santoshi Kumari, Arun Kumar Singh, Hashmat Fida
    2025 8th International Conference on Circuit Power and Computing Technologies Iccpct 2025, 2025
  • CodeXpress: Realtime Collaborative Environment
    Hashmat Fida, Rajinder Kaur, Shaurya Vir Singh Pathania, Anuj Kumar Singh
    2025 8th International Conference on Circuit Power and Computing Technologies Iccpct 2025, 2025
  • Leveraging CNNs for Accurate Weather Prediction: A Comparative Analysis of Custom and Transfer Learning Models
    Rahul Raj Singh, Hashmat Fida, Amit Kumar, Aman Kumar
    Lecture Notes in Networks and Systems, 2025
  • Concrete Compressive Strength Prediction: A Data-Driven Approach
    Shivansh Kumar, Shive prakash, Chhavin Gaur, Hashmat Fida
    Lecture Notes in Networks and Systems, 2025
  • Customer Churn Prediction Using Artificial Neural Networks
    Manish Saini, Saurav Singha, Brijesh Kalakoti, Hashmat Fida
    Communications in Computer and Information Science, 2025
  • Integrating Deep Learning and Machine Learning Approaches for Improved Accuracy in Skin Disease Detection
    Ashish Ranjan, Snigdha Naskar, Vaibhav Bajaj, Deepak Kumar, Hashmat Fida
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
  • Identifying Cross-Site Scripting Attacks Through Machine Learning
    Perumandla Rohith Goud, Odedara Ashish Rambhai, Hashmat Fida
    Proceedings 2024 2nd International Conference on Advanced Computing and Communication Technologies Icacctech 2024, 2024
  • Privacy and Security in Torrenting: Challenges and Solutions
    Virender Nath, Ayush Srivastava, Kaamil Savla, Naresh Kumar, Saumya Srivastava, Hashmat Fida
    2024 5th IEEE Global Conference for Advancement in Technology Gcat 2024, 2024
  • Deep Learning-Based Road Sign Detection: The Ultimate Road Technology
    Ajay Pal Singh, Parvez Rahi, Bharti Sahu, Nirmalya Basu, Hashmat Fida, Vikash Yadav
    2024 1st International Conference on Advanced Computing and Emerging Technologies Acet 2024, 2024

RECENT SCHOLAR PUBLICATIONS

  • Navigating ambiguity: smart decision-making with pythagorean fuzzy sets in granular uncertainty
    M Irfan, H Fida, DJ Mir
    Iran Journal of Computer Science 9 (1), 3 , 2026
    2026
  • Smart Flow-X: A Data-Driven Urban Intelligence and Coordination Framework for Real-Time Systems
    H Fida
    Computer Networks 285, 112358 , 2026
    2026
  • A Smart IOT-Based Framework for Predictive Crop Health Monitoring and Precision Farming
    H Fida, J Kaur, BK Mishra, V Kumar
    Hyperspectral Remote Sensing for Sustainable Agriculture 1, 79-100 (22) , 2026
    2026
  • Risk-Sensitive Reinforcement Learning for Portfolio Optimization Under Stochastic Market Dynamics
    BK Mishra, M Kumar, H Fida, B Kalaš
    Mathematics 14 (8), 1334 , 2026
    2026
    Citations: 1
  • Robotics in Smart Cities: A Pathway to Sustainable Business Development
    V Kumar, P Bajaj, A Kataria, H Fida, S Rani
    Artificial Intelligence Powered Sustainable Development of Business 4.0, 182-207 , 2026
    2026
  • Integration of LiDAR and optical bonding LCD for intelligent blind curve detection systems
    H Fida, H Sadawarti, BK Mishra, AH Bhat, S Gochhait, S Alshmrany
    Discover Applied Sciences 7 (11), 1-23 , 2025
    2025
  • A Machine Learning and Deep Learning Approach to Cancer Prediction
    MS Bisht, M Irfan, H Fida
    Artificial Intelligence in Oncology: Cancer Diagnosis and Treatment, Medical … , 2025
    2025
  • Enhancing medical image analysis with advanced CNN architectures: Contrast optimization, explainability, and lightweight models
    K Rana, MS Bisht, M Irfan, H Fida
    Recent Trends in Intelligent Computing and Communication, 681-690 , 2025
    2025
  • IoT-Based Intelligent Traffic Management System with Dynamic Green Corridors for Emergency Vehicle Prioritization
    H Fida, H Sadawarti, BK Mishra, V Tiwari
    ASEAN Engineering Journal 15 (3), 213-223 , 2025
    2025
    Citations: 2
  • Sick: A Search Focused Android Launcher-Feature Analysis
    AH Bhat, S Kumari, AK Singh, H Fida
    2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025
    2025
  • CodeXpress: Realtime Collaborative Environment
    H Fida, R Kaur, SVS Pathania, AK Singh
    2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025
    2025
  • Integrating Deep Learning and Machine Learning Approaches for Improved Accuracy in Skin Disease Detection
    A Ranjan, S Naskar, V Bajaj, D Kumar, H Fida
    2025 IEEE International Conference on Interdisciplinary Approaches in … , 2025
    2025
    Citations: 5
  • Enhancing ITMS through LiDAR and V2X Integration for Improved Urban Mobility and Safety
    H Fida, H Sadawarti, BK Mishra
    Indian Journal of Natural Science 15 (88), 90102-90108 , 2025
    2025
    Citations: 1
  • Leveraging CNNs for Accurate Weather Prediction: A Comparative Analysis of Custom and Transfer Learning Models
    RR Singh, H Fida, A Kumar, A Kumar
    Lecture Notes in Networks and Systems, 557-576 , 2025
    2025
  • Concrete Compressive Strength Prediction: A Data-Driven Approach
    S Kumar, S prakash, C Gaur, H Fida
    Lecture Notes in Networks and Systems, 1-15 , 2025
    2025
    Citations: 1
  • INTEGRATING AI ART TOOLS IN NATIONAL EDUCATION POLICY
    BN Gaikwad, P Patel, S Bansal, S Chaudhary, M Thakur, H Fida, V Itnal
    2025
  • A Framework for Designing and Implementation of Intelligent Traffic Management System (ITMS) to Minimize Traffic Congestion
    H Fida
    Desh Bhagat University (India) , 2025
    2025
  • Developing an AI-Driven Fraud Detection System-A Machine Learning Approach
    H Fida, S Maurya, A Maurya, S Ranjan
    2024
  • Smart Irrigation in Precision Agriculture: IoT for Water Efficiency and Sustainable Crop Yield
    Simran, H Fida, BK Mishra
    Lecture Notes in Networks and Systems, 519-529 , 2024
    2024
    Citations: 2
  • Fusion-Based Intelligent Traffic Congestion Control System for Vehicular Networks Using Machine Learning Techniques in Smart Cities
    J Kumawat, A Singh, Himanshu, H Fida
    Lecture Notes in Networks and Systems, 175-189 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Integrating Deep Learning and Machine Learning Approaches for Improved Accuracy in Skin Disease Detection
    A Ranjan, S Naskar, V Bajaj, D Kumar, H Fida
    2025 IEEE International Conference on Interdisciplinary Approaches in … , 2025
    2025
    Citations: 5
  • Deep learning-based road sign detection: the ultimate road technology
    AP Singh, P Rahi, B Sahu, N Basu, H Fida, V Yadav
    2024 1st International Conference on Advanced Computing and Emerging … , 2024
    2024
    Citations: 4
  • IoT-Based Intelligent Traffic Management System with Dynamic Green Corridors for Emergency Vehicle Prioritization
    H Fida, H Sadawarti, BK Mishra, V Tiwari
    ASEAN Engineering Journal 15 (3), 213-223 , 2025
    2025
    Citations: 2
  • Smart Irrigation in Precision Agriculture: IoT for Water Efficiency and Sustainable Crop Yield
    Simran, H Fida, BK Mishra
    Lecture Notes in Networks and Systems, 519-529 , 2024
    2024
    Citations: 2
  • Risk-Sensitive Reinforcement Learning for Portfolio Optimization Under Stochastic Market Dynamics
    BK Mishra, M Kumar, H Fida, B Kalaš
    Mathematics 14 (8), 1334 , 2026
    2026
    Citations: 1
  • Enhancing ITMS through LiDAR and V2X Integration for Improved Urban Mobility and Safety
    H Fida, H Sadawarti, BK Mishra
    Indian Journal of Natural Science 15 (88), 90102-90108 , 2025
    2025
    Citations: 1
  • Concrete Compressive Strength Prediction: A Data-Driven Approach
    S Kumar, S prakash, C Gaur, H Fida
    Lecture Notes in Networks and Systems, 1-15 , 2025
    2025
    Citations: 1
  • Navigating ambiguity: smart decision-making with pythagorean fuzzy sets in granular uncertainty
    M Irfan, H Fida, DJ Mir
    Iran Journal of Computer Science 9 (1), 3 , 2026
    2026
  • Smart Flow-X: A Data-Driven Urban Intelligence and Coordination Framework for Real-Time Systems
    H Fida
    Computer Networks 285, 112358 , 2026
    2026
  • A Smart IOT-Based Framework for Predictive Crop Health Monitoring and Precision Farming
    H Fida, J Kaur, BK Mishra, V Kumar
    Hyperspectral Remote Sensing for Sustainable Agriculture 1, 79-100 (22) , 2026
    2026
  • Robotics in Smart Cities: A Pathway to Sustainable Business Development
    V Kumar, P Bajaj, A Kataria, H Fida, S Rani
    Artificial Intelligence Powered Sustainable Development of Business 4.0, 182-207 , 2026
    2026
  • Integration of LiDAR and optical bonding LCD for intelligent blind curve detection systems
    H Fida, H Sadawarti, BK Mishra, AH Bhat, S Gochhait, S Alshmrany
    Discover Applied Sciences 7 (11), 1-23 , 2025
    2025
  • A Machine Learning and Deep Learning Approach to Cancer Prediction
    MS Bisht, M Irfan, H Fida
    Artificial Intelligence in Oncology: Cancer Diagnosis and Treatment, Medical … , 2025
    2025
  • Enhancing medical image analysis with advanced CNN architectures: Contrast optimization, explainability, and lightweight models
    K Rana, MS Bisht, M Irfan, H Fida
    Recent Trends in Intelligent Computing and Communication, 681-690 , 2025
    2025
  • Sick: A Search Focused Android Launcher-Feature Analysis
    AH Bhat, S Kumari, AK Singh, H Fida
    2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025
    2025
  • CodeXpress: Realtime Collaborative Environment
    H Fida, R Kaur, SVS Pathania, AK Singh
    2025 8th International Conference on Circuit, Power & Computing Technologies … , 2025
    2025
  • Leveraging CNNs for Accurate Weather Prediction: A Comparative Analysis of Custom and Transfer Learning Models
    RR Singh, H Fida, A Kumar, A Kumar
    Lecture Notes in Networks and Systems, 557-576 , 2025
    2025
  • INTEGRATING AI ART TOOLS IN NATIONAL EDUCATION POLICY
    BN Gaikwad, P Patel, S Bansal, S Chaudhary, M Thakur, H Fida, V Itnal
    2025
  • A Framework for Designing and Implementation of Intelligent Traffic Management System (ITMS) to Minimize Traffic Congestion
    H Fida
    Desh Bhagat University (India) , 2025
    2025
  • Developing an AI-Driven Fraud Detection System-A Machine Learning Approach
    H Fida, S Maurya, A Maurya, S Ranjan
    2024